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    Join us to celebrate the launch of the Infrastructure Client Group Annual Digital Benchmarking Report 2021 on 15 June 2022 at 9:00 BST by REGISTERING HERE. The ICG Report, powered by the Smart Infrastructure Index, surveys asset owners and operators who jointly represent over £385bn worth of capital assets and over 40% of the national infrastructure and construction pipeline. After Mark Enzer, former Head of the National Digital Twin Programme, Centre for Digital Built Britain, introduces the report, Andy Moulds and Anna Bowskill, Mott MacDonald, will uncover the results of the latest research into the state of the nation for digital adoption and maturity. This will be followed by a panel of industry thoughts leaders and practitioners, chaired by Melissa Zanocco, Co-Chair DTHub Community Council, sharing their views and best practice case studies from the ICG Digital Transformation Task Group and Project 13 Adopters including: Karen Alford, Environment Agency – skills Matt Edwards, Anglian Water – digital twins Sarah Hayes, CReDo – Climate Resilience Demonstrator digital twin Neil Picthall, Sellafield – common data environments Matt Webb, UK Power Networks – digital operating models Will Varah, Infrastructure & Projects Authority – Transforming Infrastructure Performance: Roadmap to 2030 REGISTER to find out how much progress has been made at a time when digital transformation is a critical enabler for solving the global, systemic challenges facing the planet. For any questions or issues, please contact Melissa Zanocco: melissa.zanocco@ice.org.uk Please note: We plan to make a recording of the event available. Please note that third parties, including other delegates may also take pictures or record videos and audio and process the same in a variety of ways, including by posting content across the web and social media platforms.
  2. Join us to celebrate the launch of the Infrastructure Client Group Annual Digital Benchmarking Report 2021 on 15 June 2022 at 9:00 BST by REGISTERING HERE. The ICG Report, powered by the Smart Infrastructure Index, surveys asset owners and operators who jointly represent over £385bn worth of capital assets and over 40% of the national infrastructure and construction pipeline. After Mark Enzer, former Head of the National Digital Twin Programme, Centre for Digital Built Britain, introduces the report, Andy Moulds and Anna Bowskill, Mott MacDonald, will uncover the results of the latest research into the state of the nation for digital adoption and maturity. This will be followed by a panel of industry thoughts leaders and practitioners, chaired by Melissa Zanocco, Co-Chair DTHub Community Council, sharing their views and best practice case studies from the ICG Digital Transformation Task Group and Project 13 Adopters including: Karen Alford, Environment Agency – skills Matt Edwards, Anglian Water – digital twins Sarah Hayes, CReDo – Climate Resilience Demonstrator digital twin Neil Picthall, Sellafield – common data environments Matt Webb, UK Power Networks – digital operating models Will Varah, Infrastructure & Projects Authority – Transforming Infrastructure Performance: Roadmap to 2030 REGISTER to find out how much progress has been made at a time when digital transformation is a critical enabler for solving the global, systemic challenges facing the planet. For any questions or issues, please contact Melissa Zanocco: melissa.zanocco@ice.org.uk Please note: We plan to make a recording of the event available. Please note that third parties, including other delegates may also take pictures or record videos and audio and process the same in a variety of ways, including by posting content across the web and social media platforms.
  3. I am excited to announce the launch of the Infrastructure Client Group Annual Digital Benchmarking Report 2021 on 15 June 2022 at 9:00 BST. I hope you can join us by REGISTERING HERE. The ICG Report, powered by the Smart Infrastructure Index, surveys asset owners and operators who jointly represent over £385bn worth of capital assets and over 40% of the national infrastructure and construction pipeline. After Mark Enzer, former Head of the National Digital Twin Programme, Centre for Digital Built Britain, introduces the report, Andy Moulds and Anna Bowskill, Mott MacDonald, will uncover the results of the latest research into the state of the nation for digital adoption and maturity. This will be followed by a panel of industry thoughts leaders and practitioners sharing their views and best practice case studies from the ICG Digital Transformation Task Group and Project 13 Adopters including: Karen Alford, Environment Agency – skills Matt Edwards, Anglian Water – digital twins Sarah Hayes, CReDo – Climate Resilience Demonstrator digital twin Neil Picthall, Sellafield – common data environments Matt Webb, UK Power Networks – digital operating models Will Varah, Infrastructure & Projects Authority – Transforming Infrastructure Performance: Roadmap to 2030 REGISTER to find out how much progress has been made at a time when digital transformation is a critical enabler for solving the global, systemic challenges facing the planet. You can access the reports from previous years by registering on the Project 13 Network and then clicking here in the Library: 2018, 2019 and 2020.
  4. Version 1.0.0

    36 downloads

    Climate change is increasing the frequency with which the UK infrastructure is threatened by extreme weather events. To explore the potential impact of future climate conditions, the CReDo project is working to develop a digital twin of key infrastructure networks. This digital twin can be used to help make decisions to better protect the networks in advance of extreme weather events, and ultimately to help inform a real-time response to extreme weather events. The novel feature of this tool is that it will provide the collaborating asset owners- and also crisis management teams- with not only assessments concerning the impact of a weather-induced flooding incident in a future climate on the infrastructure and networks monitored by the individual asset owners, but also the operability of assets owned by other companies- where the failure of these assets impinges on the functionality of their own. The highly interdependent nature of these infrastructure networks, such as telephone lines relying on power supplies being operational, mean that reliably modelling the impact of an extreme weather event requires accounting for such connections. It is planned that the shared appreciation of the mutual threats described by the digital twin across the different actors will encourage further coordination between the companies in their strategic plans to mitigate these increasing threats. This report outlines just one component of this development. We demonstrate how it is possible to elicit from asset owners the probabilities that each of their assets might fail, in a particular future flood scenario that makes consideration of the impact of climate changes on extreme weather patterns. Taking these unfolding events, and through working with teams of domain experts drawn from asset owners associated with the local power, water and telecommunication companies, our team demonstrate how it is possible to elicit probability distributions of the failure of each asset and their connections within the network. This information would then be fed to operational researchers who can calculate the knock-on effect on the whole network of each simulated future incident. From a decision-analytic perspective, the digital twin would thus consist of connected digital twins representing hydrology, the failure modes of assets, and the system in which the assets sit, with a decision support layer sitting above this.
  5. Version 1.0.0

    63 downloads

    This paper describes the work done on the understanding of infrastructure interdependencies and impact on the overall system. The work on the model described in this report started in September 2021. Access to the data was given at the end of October 2021 and the technical work ran until mid-January 2022. The work was led by Lars Schewe and primarily carried out by Mariel Reyes Salazar. The integration of the multiple different networks was carried out by Maksims Abalenkovs. We achieved to demonstrate that we can integrate the data from a digital twin into component networks models and could connect these with an overarching coordinating algorithm. This allows us to propagate failures in the networks and then analyse the impacts on the different networks. The observed runtimes for the test networks indicate that the implemented methods will work on realistic networks and that implementing more complex models is feasible in follow-up projects. The technical work planned in the work package was to model each of the component networks, build models that allow to propagate failures through each of them, and propose methods to propagate the failures between them. To structure the work, the team proposed three levels of detail for the network models and two levels for the integration. In addition, the objective functions for the underlying optimization problems were to be developed. Due to unavailability of data and the short timescale, it was decided to focus on the first levels for all networks and the integration. As no data was available that could guide the definition of an objective function, this work was not undertaken. The basic models were implemented in Python and tested on a small-scale model of part of a UK town. This allowed to demonstrate that the overall methodology is sound and that data from a digital twin can be transferred to more detail network models and the results can be played back to the digital twin.
  6. Version 1.0.0

    74 downloads

    Climate change will bring far reaching consequences across many aspects of society, including our health, prosperity and future security. The latest climate projections from the UK Met Office indicate that we will experience warmer, wetter winters and hotter, drier summers, together with an increase in the frequency and intensity of extremes. Substantial increases in hourly precipitation extremes are expected, with the frequency of days with hourly rainfall > 30 mm/h almost doubling by the 2070s. The increase in short, intense, rainfall events may be expected to manifest in flooding which can cause serious threats to society and the economy. This report provides details of how flood data was generated within the CReDO project. A summary of different types of flooding are considered (river, coastal, surface water) together with an outline of standard industry approaches and requirements to quantifying probabilities of occurrence. We provide a summary of the information available within the UKCP18 projections, and how this can be used for assessing changes in precipitation under climate change scenarios. This includes the UKCP18 local projections, consisting of hourly data at a 2.2km resolution for 12 simulations from a convection-permitting model, with a bias correction applied, and the probabilistic extremes dataset (PPCE), with discussion of what information these products can and cannot provide. Information on the risk of river and tidal flooding in the study region is provided from Environment Agency models. UKCP18 does not provide direct information on flooding, and the flood model HiPIMS was used to convert precipitation to surface water flooding. For generating storm events, FEH methodology was used, in combination with uplifts from different sources to represent the effects of climate change, and a discussion of how UKCP18 products may augment this approach, given appropriate consideration of the challenges in using this for decision making. Using HiPIMS allowed the provision of multiple surface water flooding scenarios for different storm lengths, return periods (1 in 100, 1 in 1000 year events) and climate change scenarios, giving spatio-temporal maps of flood depth over time, in a form that can be used to assess the vulnerability of assets and consider how changes in the climate will affect the likelihood, and extent, of flooding in the future.
  7. Version 1.0.0

    155 downloads

    CReDo aims to demonstrate how the National Digital Twin programme could use connected digital twins to increase climate resilience. This first phase of the project investigates how to implement a digital twin to share data across sectors to investigate the impact of extreme weather, in particular flooding, on energy, water and telecoms networks. The current digital twin integrates flood simulations for different climate change scenarios with descriptions of the energy, water and telecoms networks, and models the interdependence of the infrastructure to describe the resilience of the combined network. CMCL Innovations were engaged by the Centre for Digital Built Britain (CDBB )and the Connected Places Catapult (CPC) as part of CReDo to develop a digital twin of assets from Anglian Water, BT and UK Power Networks. The digital twin combines a description of the logical connectivity between the assets with flood data to resolve the effect of floods on individual assets and the corresponding cascade of effects across the combined network. It demonstrates how to achieve basic interoperability between data from different sectors, and how this data might be combined with flood data for different climate scenarios to begin to explore the resilience of the combined network and identify vulnerabilities to support strategic decision making and capital planning. The first phase of the digital twin and an accompanying visualisation were implemented on DAFNI, the Data & Analytics Facility for National Infrastructure. This report describes the use and technical implementation of the current digital twin. Recommendations are made for how it could be extended to improve its ability to support decision making, and how the approach could be scaled up by the National Digital Twin programme.
  8. Collaboration and resilience through connected digital twins: CReDo show-and-tell webinar The CReDo team launched its Climate Resilience Demonstrator project at the start of November 2021, during COP26. This Collaboration and resilience through connected digital twins webinar, held on 2 March 2022, wraps up the accomplishments and lessons learned from the project. If you missed the event or would like to catch up with all or part of it again, please watch it here. Webinar summary With a warm welcome from the National Digital Twin programme's Kirsten Lamb, the event began with CReDo project lead Sarah Hayes giving a Project Overview, explaining how CReDo came together and introducing the people behind the achievement. CReDo's technical architect, Tom Collingwood from the Hartree Centre, talked about the different stages of technical development in his presentation Project Findings and Methodology, followed by Jethro Ackroyd, CMCL Innovations, who gave a Project Model demonstration to show how CReDo was realised using synthetic data. CDBB's Matthew West and Anglian Water's Tom Burgoyne completed the technical presentations with a walk-through the practical considerations of bringing together the Information Management Framework (IMF) and CReDo and an overview of IMF Practice at Anglian Water. The next section of the webinar featured an Asset Owner and Project Sponsor interview, with insights from Richard Buckingham, Anglian Water; Matt Webb, UK Power Networks; Louise Krug, BT; and Yalena Coleman from the Connected Places Catapult. CReDo project manager Rachel Judson discussed the important Lessons Learned from the CReDo demonstrator then invited Holger Kessler of the Geospatial Commission to speak about commonalities with the National Underground Asset Register work. The task of assessing CReDo Benefits is being managed by Frontier Economics and Frontier's Matthew Bell covered some of the many benefits and how these are being collated. Rounding off, Sarah Hayes presented CReDo Recommendations and encouraged development of new CReDo-style connected digital twins. The event concluded with a popular Q&A session with speakers and the panel, plus further invited guests (see below for some of the questions). Reports CReDo resulted in a suite of reports covering the technical development of the demonstrator. You can read these by visiting the CReDo technical report pages below: Technical report 1: Building a Cross-Sector Digital Twin Technical report 2: Generating Flood Data Technical report 3: Assessing Asset Failure Technical report 4: Modelling System Impact Q&A questions from the webinar We are pleased to share below the answers to a number of the questions that we couldn't respond to on the day. Question Your answer What is the approach to cyber security to protect critical national infrastructure? What are the benefits to the participants providing the data?   [Matt Webb] Benefits to participants providing the data relate to long term planning, medium term event readiness and near real-time operational activities.   The insight provided by the connected digital twin facilitates improved insight into asset criticality, risk, and the consequences of failure.  This aids in informing and justifying investment planning and intervention.   Medium term event readiness can be considered in the context of the build-up to impactful events, allowing targeted, proactive mitigation and resource deployment to reduce impact and accelerate repair and restoration activities.   Near real-time application facilitates in-event insight into present impact and cascade impact across critical infrastructure, enabling enhanced coordination between asset organisations.   In all respects, network resilience is enhanced, investments optimised and asset damage and associated costs reduced. [Ben Mawdsley] In a CReDo only context: All asset owner data was transferred under encryption and passed to STFC through either a physical medium or internet transfer for storage on DAFNI. The decryption key was provided separately, and data only stored on a single, mutually agreed data store located behind the STFC firewall and requiring multi factor authentication to access. Users were kept to the minimum number of staff necessary. If working independently, no single asset owner would have access to all of the data present in the twin. Working together, we can identify the connections across these different datasets and learn the dependencies, allowing us to build models with greater functionality than three independent models would produce. If we can accurately model future impacts, we can make more informed decisions now to mitigate these. There’s also the case that sharing data now makes sharing data in the future easier- if we can make the changes now, we can make future applications easier to develop. Can you share more details of the thin slice approach please?               Which data standards have been used to ensure data interoperability?  Breaking down the data silos?   [Matthew West] There are two papers that are in draft awaiting publication by CPNI that will say more about the thin slice approach. They are; Managing Shared Data that talks about the approach in a wider context, and Developing Thin Slices that talks more about the bottom up methodology Tom Burgoyne described. Contact me if you want to see pre-publication drafts of these papers. matthew.west@informationjunction.co.uk   The current available data standards are what we call Industry Data Models, like the Industry Foundation Classes, and Reference Data Libraries, like UniClass2015.  The IMF Team has done a survey of the ones available that have been brought to our attention: https://digitaltwinhub.co.uk/files/file/89-a-survey-of-industry-data-models-and-reference-data-libraries/ The problem here is that none of these IDMs are compatible with each other. So, the problem for the IMF Team is to develop a data model (the Foundation Data Model) that is able to integrate data from them. In this process we will be treating industry data models as thin slices. So far have you any indication from the Asset Owners as to how the information will be applied and any extra visualisation required [Matt Webb] My above response largely covers this.  With respect to visualise, a range of data visualisations could potentially applied – geospatial, schematic, charts, etc. – to cater for these various use cases. [Louise Krug] The ideas are that we can use the model to help direct investment – what sites are most at risk from different climate events, where risks are elevated due to interconnectedness We would also like to use the Twin to support operational teams during extreme events – help the teams from different organisations cooperate Other types of output are likely to be needed – lists of top 10 sites at risk for example rather than just visualisations Visualisations may be a good way to interact with the system to say “take this out” , “move this element” or “replace these values” and have that run through the model to see its impact. [Matt Edwards] Now that we have a working demo we can socialise internally we will use it as a means to develop more detailed user stories. We see potential opportunities for use already through all stages of the asset lifecycle; planning investment, design and engineering / construction, operations and maintenance, customer and service management, incident and safety management, and decommissioning.   We are completely open to the need for further visualisations; as soon as data is presented in context (information), people and users always want more! Digital products should always be developed with opportunities for continuous improvement in mind. [Jethro Akroyd] Other types of output are likely to be needed – lists of top 10 sites at risk for example rather than just visualisations. Visualisations may be a good way to interact with the system to say “take this out”, “move this element” or “replace these values” and have that run through the model to see its impact Are you testing the model in collaboration with research institutions in other countries? [Chris Dent] On the application side, we are focused on the UK context. The methodology required for this kind of study is however universal, and we are developing links with analogous projects in Europe and the USA with a view to collaboration on future phases of underpinning research. [Jethro Akroyd] Yes. Many of the ideas underlying the use of the knowledge graph in the CReDo are inspired by the World Avatar project, which is a collaboration between CMCL Innovations (who implemented the CReDo digital twin), the University of Cambridge and Cambridge CARES, the university's research centre in Singapore. {Ben Mawdsley] All project out puts will be available as Open source or permissive licences that are accessible so anybody, here in the UK or overseas, could contribute to building models. - How can technology and data providers get involved and support the mission ? Would be interested to learn more about engagement channels, procurement and Collaboration opportunities [Yalena Coleman] Please contact yalena.coleman@cp.catapult.org.uk for any enquiries about how to get involved in Phase 2, we will be happy to set up calls to explore various routes for collaboration / procurement. [Chris Dent] In addition, the research organisation partners would be very pleased to discuss with interested parties how their needs can drive future research agendas, and how they might collaborate with and provide use cases for follow-on research. [Matt Edwards] At Anglian Water we have our Water Innovation Network (WIN) - WIN is a free partnership initiative run by not for profit organisation Allia and Anglian Water. It is the platform Anglian Water uses to connect and engage with potential supply chain, which includes innovators, individuals and businesses.  Water Innovation Network (anglianwater.co.uk). can you envisage having several levels of openness regarding simulations?- e.g at least one version where some data could be viewed by the public - where security and privacy re assets was not compromised [Matt Webb] Yes – I think that is both appropriate and necessary.   Given the nature of the data, the extent of integration and the insight provided, limitations of access need to be considered for all use cases and end-users.  The degree of ‘openness’ will vary in line with this. [Louise Krug] That is the purpose of the simulated data system – simulated data used for all aspects that can’t be openly shared {Matt Edwards] Yes. Anglian Water increasingly develop solutions in this fashion; Digdat (digdat) and In your Area (In Your Area (digdat.co.uk)) being a couple where the public have access to visualisations and data that in reality are far more complex and enriched when used internally. The aim though is to present only views to the public that their user stories require. The products are always being evaluated for improvement. We are aware we need to constantly challenge what is open to the public, and we use data sensitivity classifications as one of the ways in which we understand access requirements as well as challenge ourselves. Are there any intentions to expand this example to include transportation networks? [Yalena Coleman] Absolutely – transport network information is already being tabled for discussion as an additional data source in Phase 2 – including road networks both national and local. Good to see progress over the past few months. Are the Data Sharing Agreements available to share? Also there was mention at the launch event of SLAs with Regulators being revisited. Any progress on that front?   This is a huge search space to look for improvements to the various networks. What thoughts do you have about how to support the actors to search this?   [Chris Dent] This is one of the directions in which we wish to expand the Operational Research activity within CReDo. The visibility across the three networks will alone provide new insights into where critical areas for reinforcement lie. We can also potentially use mathematical optimization tools to search potential options – in practice this would work by helping develop a list of candidate projects for evaluation by the asset owners. [Jethro Akroyd] Increase the level of detail in the digital twin so that it can describe things like switching between alternative supply routes, and link it to models that suggest possible mitigating actions. Automate the running of the digital twin to systematically investigate different options.) I’m aware that the role of bridges in carrying pipes and cables has become apparent during several flood events, and the bridge collapses have led to power cuts, severance of gas mains etc. Have you considered including bridges which carry pipes/cables in future versions of the model? [Matt Webb] This is an interesting point.  Bridges are just one form of civil asset that could be considered in this context, many of which are shared by multiple asset owners.  Having visibility of these ‘pinch-points’ would be of significant value from a risk mitigation point of view.   A good real-world example of this is the Kingsway incident in central London several years ago.  In that instance, the interaction of telecoms, electricity, gas and water assets in a common subterranean tunnel system resulted in an extensive and sustained tunnel fire severely damaging all of those networks. [Jethro Akroyd] One of the next steps in the project is to assess what additional information might be needed in the digital twin. This is a very interesting suggestion. NB This naturally links to the question above [and below] about including transport It is great to see in the first presentation that the National Digital Twin is seen as a socio-technical change. While there is great technical development evident from the presentations, the social aspect of sociotechnical system is not as evident. Any work planned to analyse the socio-technical aspects of having this connected digital twin thinking ? for example, the social actors, and the dynamic relationship between technical and social aspects of a connected digital twin ? Thank you.  [Jethro Akroyd] I recently published a paper where we applied the same underlying design of digital twin to enable interoperability between socio-technical data (energy usage, climate and fuel poverty data) to investigate how the adoption of heat pumps might affect inequality: https://doi.org/10.1016/j.adapen.2021.100079. The connection with CReDo is that this work uses exactly the same design [i.e. ontologies and a knowledge graph] that CMCL used for CReDo What Open Source data did you use?  [Jethro Akroyd] By first intent, the CReDo digital twin was implemented using open source software with permissive licences. Full details are given in the technical reports. The digital twin was developed using confidential data about real assets. The demonstration at the webinar used synthetic data that the project team created and that will be published under a permissive open licence. The demonstration at the webinar also showed the ability to incorporate open data from the Environment Agency and Ordnance Survey. Details will be published in a forthcoming report. [Ben Mawdsley] Flood models HiPIMS are open source software too. Uses UKCP18 data.
  9. Collaboration and resilience through connected digital twins: CReDo show-and-tell webinar The CReDo team launched its Climate Resilience Demonstrator project at the start of November 2021, during COP26. This Collaboration and resilience through connected digital twins webinar, held on 2 March 2022, wraps up the accomplishments and lessons learned from the project. If you missed the event or would like to catch up with all or part of it again, please watch it here. Webinar summary With a warm welcome from the National Digital Twin programme's Kirsten Lamb, the event began with CReDo project lead Sarah Hayes giving a Project Overview, explaining how CReDo came together and introducing the people behind the achievement. CReDo's technical architect, Tom Collingwood from the Hartree Centre, talked about the different stages of technical development in his presentation Project Findings and Methodology, followed by Jethro Ackroyd, CMCL Innovations, who gave a Project Model demonstration to show how CReDo was realised using synthetic data. CDBB's Matthew West and Anglian Water's Tom Burgoyne completed the technical presentations with a walk-through the practical considerations of bringing together the Information Management Framework (IMF) and CReDo and an overview of IMF Practice at Anglian Water. The next section of the webinar featured an Asset Owner and Project Sponsor interview, with insights from Richard Buckingham, Anglian Water; Matt Webb, UK Power Networks; Louise Krug, BT; and Yalena Coleman from the Connected Places Catapult. CReDo project manager Rachel Judson discussed the important Lessons Learned from the CReDo demonstrator then invited Holger Kessler of the Geospatial Commission to speak about commonalities with the National Underground Asset Register work. The task of assessing CReDo Benefits is being managed by Frontier Economics and Frontier's Matthew Bell covered some of the many benefits and how these are being collated. Rounding off, Sarah Hayes presented CReDo Recommendations and encouraged development of new CReDo-style connected digital twins. The event concluded with a popular Q&A session with speakers and the panel, plus further invited guests (see below for some of the questions). Reports CReDo resulted in a suite of reports covering the technical development of the demonstrator. You can read these by visiting the CReDo technical report pages below: Technical report 1: Building a Cross-Sector Digital Twin Technical report 2: Generating Flood Data Technical report 3: Assessing Asset Failure Technical report 4: Modelling System Impact Q&A questions from the webinar We are pleased to share below the answers to a number of the questions that we couldn't respond to on the day. Question Your answer What is the approach to cyber security to protect critical national infrastructure? What are the benefits to the participants providing the data?   [Matt Webb] Benefits to participants providing the data relate to long term planning, medium term event readiness and near real-time operational activities.   The insight provided by the connected digital twin facilitates improved insight into asset criticality, risk, and the consequences of failure.  This aids in informing and justifying investment planning and intervention.   Medium term event readiness can be considered in the context of the build-up to impactful events, allowing targeted, proactive mitigation and resource deployment to reduce impact and accelerate repair and restoration activities.   Near real-time application facilitates in-event insight into present impact and cascade impact across critical infrastructure, enabling enhanced coordination between asset organisations.   In all respects, network resilience is enhanced, investments optimised and asset damage and associated costs reduced. [Ben Mawdsley] In a CReDo only context: All asset owner data was transferred under encryption and passed to STFC through either a physical medium or internet transfer for storage on DAFNI. The decryption key was provided separately, and data only stored on a single, mutually agreed data store located behind the STFC firewall and requiring multi factor authentication to access. Users were kept to the minimum number of staff necessary. If working independently, no single asset owner would have access to all of the data present in the twin. Working together, we can identify the connections across these different datasets and learn the dependencies, allowing us to build models with greater functionality than three independent models would produce. If we can accurately model future impacts, we can make more informed decisions now to mitigate these. There’s also the case that sharing data now makes sharing data in the future easier- if we can make the changes now, we can make future applications easier to develop. Can you share more details of the thin slice approach please?               Which data standards have been used to ensure data interoperability?  Breaking down the data silos?   [Matthew West] There are two papers that are in draft awaiting publication by CPNI that will say more about the thin slice approach. They are; Managing Shared Data that talks about the approach in a wider context, and Developing Thin Slices that talks more about the bottom up methodology Tom Burgoyne described. Contact me if you want to see pre-publication drafts of these papers. matthew.west@informationjunction.co.uk   The current available data standards are what we call Industry Data Models, like the Industry Foundation Classes, and Reference Data Libraries, like UniClass2015.  The IMF Team has done a survey of the ones available that have been brought to our attention: https://digitaltwinhub.co.uk/files/file/89-a-survey-of-industry-data-models-and-reference-data-libraries/ The problem here is that none of these IDMs are compatible with each other. So, the problem for the IMF Team is to develop a data model (the Foundation Data Model) that is able to integrate data from them. In this process we will be treating industry data models as thin slices. So far have you any indication from the Asset Owners as to how the information will be applied and any extra visualisation required [Matt Webb] My above response largely covers this.  With respect to visualise, a range of data visualisations could potentially applied – geospatial, schematic, charts, etc. – to cater for these various use cases. [Louise Krug] The ideas are that we can use the model to help direct investment – what sites are most at risk from different climate events, where risks are elevated due to interconnectedness We would also like to use the Twin to support operational teams during extreme events – help the teams from different organisations cooperate Other types of output are likely to be needed – lists of top 10 sites at risk for example rather than just visualisations Visualisations may be a good way to interact with the system to say “take this out” , “move this element” or “replace these values” and have that run through the model to see its impact. [Matt Edwards] Now that we have a working demo we can socialise internally we will use it as a means to develop more detailed user stories. We see potential opportunities for use already through all stages of the asset lifecycle; planning investment, design and engineering / construction, operations and maintenance, customer and service management, incident and safety management, and decommissioning.   We are completely open to the need for further visualisations; as soon as data is presented in context (information), people and users always want more! Digital products should always be developed with opportunities for continuous improvement in mind. [Jethro Akroyd] Other types of output are likely to be needed – lists of top 10 sites at risk for example rather than just visualisations. Visualisations may be a good way to interact with the system to say “take this out”, “move this element” or “replace these values” and have that run through the model to see its impact Are you testing the model in collaboration with research institutions in other countries? [Chris Dent] On the application side, we are focused on the UK context. The methodology required for this kind of study is however universal, and we are developing links with analogous projects in Europe and the USA with a view to collaboration on future phases of underpinning research. [Jethro Akroyd] Yes. Many of the ideas underlying the use of the knowledge graph in the CReDo are inspired by the World Avatar project, which is a collaboration between CMCL Innovations (who implemented the CReDo digital twin), the University of Cambridge and Cambridge CARES, the university's research centre in Singapore. {Ben Mawdsley] All project out puts will be available as Open source or permissive licences that are accessible so anybody, here in the UK or overseas, could contribute to building models. - How can technology and data providers get involved and support the mission ? Would be interested to learn more about engagement channels, procurement and Collaboration opportunities [Yalena Coleman] Please contact yalena.coleman@cp.catapult.org.uk for any enquiries about how to get involved in Phase 2, we will be happy to set up calls to explore various routes for collaboration / procurement. [Chris Dent] In addition, the research organisation partners would be very pleased to discuss with interested parties how their needs can drive future research agendas, and how they might collaborate with and provide use cases for follow-on research. [Matt Edwards] At Anglian Water we have our Water Innovation Network (WIN) - WIN is a free partnership initiative run by not for profit organisation Allia and Anglian Water. It is the platform Anglian Water uses to connect and engage with potential supply chain, which includes innovators, individuals and businesses.  Water Innovation Network (anglianwater.co.uk). can you envisage having several levels of openness regarding simulations?- e.g at least one version where some data could be viewed by the public - where security and privacy re assets was not compromised [Matt Webb] Yes – I think that is both appropriate and necessary.   Given the nature of the data, the extent of integration and the insight provided, limitations of access need to be considered for all use cases and end-users.  The degree of ‘openness’ will vary in line with this. [Louise Krug] That is the purpose of the simulated data system – simulated data used for all aspects that can’t be openly shared {Matt Edwards] Yes. Anglian Water increasingly develop solutions in this fashion; Digdat (digdat) and In your Area (In Your Area (digdat.co.uk)) being a couple where the public have access to visualisations and data that in reality are far more complex and enriched when used internally. The aim though is to present only views to the public that their user stories require. The products are always being evaluated for improvement. We are aware we need to constantly challenge what is open to the public, and we use data sensitivity classifications as one of the ways in which we understand access requirements as well as challenge ourselves. Are there any intentions to expand this example to include transportation networks? [Yalena Coleman] Absolutely – transport network information is already being tabled for discussion as an additional data source in Phase 2 – including road networks both national and local. Good to see progress over the past few months. Are the Data Sharing Agreements available to share? Also there was mention at the launch event of SLAs with Regulators being revisited. Any progress on that front?   This is a huge search space to look for improvements to the various networks. What thoughts do you have about how to support the actors to search this?   [Chris Dent] This is one of the directions in which we wish to expand the Operational Research activity within CReDo. The visibility across the three networks will alone provide new insights into where critical areas for reinforcement lie. We can also potentially use mathematical optimization tools to search potential options – in practice this would work by helping develop a list of candidate projects for evaluation by the asset owners. [Jethro Akroyd] Increase the level of detail in the digital twin so that it can describe things like switching between alternative supply routes, and link it to models that suggest possible mitigating actions. Automate the running of the digital twin to systematically investigate different options.) I’m aware that the role of bridges in carrying pipes and cables has become apparent during several flood events, and the bridge collapses have led to power cuts, severance of gas mains etc. Have you considered including bridges which carry pipes/cables in future versions of the model? [Matt Webb] This is an interesting point.  Bridges are just one form of civil asset that could be considered in this context, many of which are shared by multiple asset owners.  Having visibility of these ‘pinch-points’ would be of significant value from a risk mitigation point of view.   A good real-world example of this is the Kingsway incident in central London several years ago.  In that instance, the interaction of telecoms, electricity, gas and water assets in a common subterranean tunnel system resulted in an extensive and sustained tunnel fire severely damaging all of those networks. [Jethro Akroyd] One of the next steps in the project is to assess what additional information might be needed in the digital twin. This is a very interesting suggestion. NB This naturally links to the question above [and below] about including transport It is great to see in the first presentation that the National Digital Twin is seen as a socio-technical change. While there is great technical development evident from the presentations, the social aspect of sociotechnical system is not as evident. Any work planned to analyse the socio-technical aspects of having this connected digital twin thinking ? for example, the social actors, and the dynamic relationship between technical and social aspects of a connected digital twin ? Thank you.  [Jethro Akroyd] I recently published a paper where we applied the same underlying design of digital twin to enable interoperability between socio-technical data (energy usage, climate and fuel poverty data) to investigate how the adoption of heat pumps might affect inequality: https://doi.org/10.1016/j.adapen.2021.100079. The connection with CReDo is that this work uses exactly the same design [i.e. ontologies and a knowledge graph] that CMCL used for CReDo What Open Source data did you use?  [Jethro Akroyd] By first intent, the CReDo digital twin was implemented using open source software with permissive licences. Full details are given in the technical reports. The digital twin was developed using confidential data about real assets. The demonstration at the webinar used synthetic data that the project team created and that will be published under a permissive open licence. The demonstration at the webinar also showed the ability to incorporate open data from the Environment Agency and Ordnance Survey. Details will be published in a forthcoming report. [Ben Mawdsley] Flood models HiPIMS are open source software too. Uses UKCP18 data.
  10. Catherine Condie

    CReDo Benefits report

    Electricity, water and telecoms assets are owned and operated separately, but they form an interconnected system. This means that the failure of one asset, for example in the event of a flood, can cause assets of other operators to fail. For example, electricity substations provide power to water and wastewater pumping stations and telephone exchanges; cooling water systems can be used to remove waste heat from telephone exchanges; and telephone lines are installed at electricity substations where a mobile telephone signal cannot be received. Flooding can cause failures to utility assets, which can propagate through the system. This results in costs to asset operators as well as service interruptions and associated costs for customers. For example, the Environment Agency estimated that the total economic damage of the winter floods of 2015 and 2016 to asset operators (electricity and water) and their customers was more than £100m.1 Because of climate change, the likelihood of these potentially damaging floods is expected to increase over the next century. CReDo can help address a key information barrier preventing investment in system resilience Asset operators invest in their assets to ensure that they are resilient to climate change, including floods. Asset operators understand their own networks and, when deciding whether and how to invest in resilience, they take account of a number of factors. These include how critical each asset is for their networks and the financial resources they have available for resilience investment. It is unlikely that asset operators have complete information on 1) the resilience of other operators’ assets on which their assets depend or 2) how critical their assets are for other operators. For these reasons, investment decisions may not be as cost effective across the system as they could be. For example, an asset operator may decide not to invest in a specific asset because it is not critical for its network, not knowing that it may be critical for another asset operator’s network. It may also decide to increase the resilience of one of the assets which is critical for its network, not knowing that the other asset operators’ assets on which its assets depend are already resilient. Hence, there is an information barrier that prevents asset operators from assessing the resilience of the whole system and making investment decisions accordingly. The combination of a system-wide view of infrastructure resilience provided by CReDo and improved information management is expected to lower the information barrier. Frontier Economics was commissioned by CDBB to identify the expected impacts of CReDo and provide a simulation of the subset of potential social benefits related to flood resilience. Visit our Recommendations and Resources page to read the report
  11. Catherine Condie

    CReDO Overview report

    This report sets out an overview of the first phase of CReDo, running from April 2021 to March 2022, with a focus on the technical architecture developed to integrate different datasets and models into the connected digital twin. CReDo is a climate adaptation digital twin sponsored by UK Research and Innovation and Connected Places Catapult and is the pilot project for the National Digital Twin programme. CReDo’s purpose is two-fold: 1. To demonstrate the benefits of using connected digital twins to increase resilience and enable climate change adaptation and mitigation 2. To demonstrate how principled information management enables digital twins and datasets to be connected in a scalable way as part of the development of the information management framework Data about assets is brought together across three infrastructure asset owners — Anglian Water, BT and UK Power Networks — into a connected digital twin of the infrastructure system network. Combining data sets from three separate organisations into one system model is not straightforward. Principled information management techniques, such as using the appropriate ontologies and striving for semantic precision, are essential to bringing the data together to present the clearest picture of the infrastructure system without inaccuracies. Coastal and fluvial flood data has been sourced from the Environment Agency and the HiPIMS (High-Performance Integrated hydrodynamic Modelling System)[1] model has been used to generate surface water flooding data that could be expected under a range of future climate change scenarios. Expert elicitation techniques have been employed to understand the impact of the flood scenarios on asset failure within the infrastructure networks. Operational research techniques have been employed to better understand the infrastructure interdependencies and to identify the propagation of asset failure, both across single networks and across the infrastructure system as a whole, resulting from the flood scenarios. This builds a picture of system impact from flooding scenarios that would not otherwise be available to the individual networks or regulators who would only see the impact of flooding on single networks. Visit our Recommendations and Resources page to read the report
  12. CReDo aims to demonstrate how the National Digital Twin programme could use connected digital twins to increase climate resilience. This first phase of the project investigates how to implement a digital twin to share data across sectors to investigate the impact of extreme weather, in particular flooding, on energy, water and telecoms networks. The current digital twin integrates flood simulations for different climate change scenarios with descriptions of the energy, water and telecoms networks, and models the interdependence of the infrastructure to describe the resilience of the combined network. CMCL Innovations were engaged by the Centre for Digital Built Britain (CDBB )and the Connected Places Catapult (CPC) as part of CReDo to develop a digital twin of assets from Anglian Water, BT and UK Power Networks. The digital twin combines a description of the logical connectivity between the assets with flood data to resolve the effect of floods on individual assets and the corresponding cascade of effects across the combined network. It demonstrates how to achieve basic interoperability between data from different sectors, and how this data might be combined with flood data for different climate scenarios to begin to explore the resilience of the combined network and identify vulnerabilities to support strategic decision making and capital planning. The first phase of the digital twin and an accompanying visualisation were implemented on DAFNI, the Data & Analytics Facility for National Infrastructure. This report describes the use and technical implementation of the current digital twin. Recommendations are made for how it could be extended to improve its ability to support decision making, and how the approach could be scaled up by the National Digital Twin programme. Visit the technical report page
  13. Catherine Condie

    CReDo report 2: Generating Flood Data

    Climate change will bring far reaching consequences across many aspects of society, including our health, prosperity and future security. The latest climate projections from the UK Met Office indicate that we will experience warmer, wetter winters and hotter, drier summers, together with an increase in the frequency and intensity of extremes. Substantial increases in hourly precipitation extremes are expected, with the frequency of days with hourly rainfall > 30 mm/h almost doubling by the 2070s. The increase in short, intense, rainfall events may be expected to manifest in flooding which can cause serious threats to society and the economy. This report provides details of how flood data was generated within the CReDO project. A summary of different types of flooding are considered (river, coastal, surface water) together with an outline of standard industry approaches and requirements to quantifying probabilities of occurrence. We provide a summary of the information available within the UKCP18 projections, and how this can be used for assessing changes in precipitation under climate change scenarios. This includes the UKCP18 local projections, consisting of hourly data at a 2.2km resolution for 12 simulations from a convection-permitting model, with a bias correction applied, and the probabilistic extremes dataset (PPCE), with discussion of what information these products can and cannot provide. Information on the risk of river and tidal flooding in the study region is provided from Environment Agency models. UKCP18 does not provide direct information on flooding, and the flood model HiPIMS was used to convert precipitation to surface water flooding. For generating storm events, FEH methodology was used, in combination with uplifts from different sources to represent the effects of climate change, and a discussion of how UKCP18 products may augment this approach, given appropriate consideration of the challenges in using this for decision making. Using HiPIMS allowed the provision of multiple surface water flooding scenarios for different storm lengths, return periods (1 in 100, 1 in 1000 year events) and climate change scenarios, giving spatio-temporal maps of flood depth over time, in a form that can be used to assess the vulnerability of assets and consider how changes in the climate will affect the likelihood, and extent, of flooding in the future. Visit the technical report page
  14. Catherine Condie

    CReDo report 3: Assessing Asset Failure

    Climate change is increasing the frequency with which the UK infrastructure is threatened by extreme weather events. To explore the potential impact of future climate conditions, the CReDo project is working to develop a digital twin of key infrastructure networks. This digital twin can be used to help make decisions to better protect the networks in advance of extreme weather events, and ultimately to help inform a real-time response to extreme weather events. The novel feature of this tool is that it will provide the collaborating asset owners- and also crisis management teams- with not only assessments concerning the impact of a weather-induced flooding incident in a future climate on the infrastructure and networks monitored by the individual asset owners, but also the operability of assets owned by other companies- where the failure of these assets impinges on the functionality of their own. The highly interdependent nature of these infrastructure networks, such as telephone lines relying on power supplies being operational, mean that reliably modelling the impact of an extreme weather event requires accounting for such connections. It is planned that the shared appreciation of the mutual threats described by the digital twin across the different actors will encourage further coordination between the companies in their strategic plans to mitigate these increasing threats. This report outlines just one component of this development. We demonstrate how it is possible to elicit from asset owners the probabilities that each of their assets might fail, in a particular future flood scenario that makes consideration of the impact of climate changes on extreme weather patterns. Taking these unfolding events, and through working with teams of domain experts drawn from asset owners associated with the local power, water and telecommunication companies, our team demonstrate how it is possible to elicit probability distributions of the failure of each asset and their connections within the network. This information would then be fed to operational researchers who can calculate the knock-on effect on the whole network of each simulated future incident. From a decision-analytic perspective, the digital twin would thus consist of connected digital twins representing hydrology, the failure modes of assets, and the system in which the assets sit, with a decision support layer sitting above this. Visit the technical report page
  15. Catherine Condie

    CReDo report 4: Modelling System Impact

    This paper describes the work done on the understanding of infrastructure interdependencies and impact on the overall system. The work on the model described in this report started in September 2021. Access to the data was given at the end of October 2021 and the technical work ran until mid-January 2022. The work was led by Lars Schewe and primarily carried out by Mariel Reyes Salazar. The integration of the multiple different networks was carried out by Maksims Abalenkovs. We achieved to demonstrate that we can integrate the data from a digital twin into component networks models and could connect these with an overarching coordinating algorithm. This allows us to propagate failures in the networks and then analyse the impacts on the different networks. The observed runtimes for the test networks indicate that the implemented methods will work on realistic networks and that implementing more complex models is feasible in follow-up projects. The technical work planned in the work package was to model each of the component networks, build models that allow to propagate failures through each of them, and propose methods to propagate the failures between them. To structure the work, the team proposed three levels of detail for the network models and two levels for the integration. In addition, the objective functions for the underlying optimization problems were to be developed. Due to unavailability of data and the short timescale, it was decided to focus on the first levels for all networks and the integration. As no data was available that could guide the definition of an objective function, this work was not undertaken. The basic models were implemented in Python and tested on a small-scale model of part of a UK town. This allowed to demonstrate that the overall methodology is sound and that data from a digital twin can be transferred to more detail network models and the results can be played back to the digital twin. Visit the technical report page
  16. until
    As this phase of CReDo draws to a close, the project team invites you to a webinar on 2nd march to share the project outcomes and learnings. Hear from the CReDo team about the technical demonstrator they delivered and the lessons they learned, and find out how you can pick up the vital work of collaboration through connected digital twins. The National Digital Twin programme has developed a Climate Resilience Demonstrator (CReDo), a pioneering climate change adaptation digital twin project that provides a practical example of how connected data can improve climate adaptation and resilience across a system of systems. The product of a first-of-its-kind collaboration, CReDo looks specifically at the impact of flooding on energy, water and telecoms networks. It demonstrates how those who own and operate them can use secure, resilient, information sharing across sector boundaries to mitigate the effect of flooding on network performance and service delivery. It also provides an important template to build on to adapt it to other challenges, such as climate mitigation and net zero. To register, please click here.
  17. You’re invited to a webinar on 2nd March to find out how collaboration through connected digital twins can help plan resilient cities and infrastructure. The National Digital Twin programme has developed a Climate Resilience Demonstrator (CReDo), a pioneering climate change adaptation digital twin project that provides a practical example of how connected data can improve climate adaptation and resilience across a system of systems. Watch the film Tomorrow Today, and try the interactive app to see what CReDo has been working towards. The CReDo team will use synthetic data developed through the project to show how it is possible to better understand infrastructure interdependencies and increase resilience. Join the webinar to hear from the CReDo team about the work that has happened behind the scenes of developing a connected digital twin. CReDo is the result of a first-of-its-kind collaboration between Anglian Water, BT and UK Power Networks, in partnership with several academic institutions. The project has been funded by Connected Places Catapult (CPC) and the University of Cambridge, and technical development was led by CMCL and the Hartree Centre. This collaboration produced a demonstrator that looks at the impact of flooding on energy, water and telecoms networks. CReDo demonstrates how owners and operators of these networks can use secure, resilient, information sharing across sector boundaries to adapt to and mitigate the effect of flooding on network performance and service delivery. It also provides an important template to build on to turn it to other challenges, such as climate change mitigation and Net Zero. Hear from members of the CReDo team – including the asset owners, CPC, and the technical development team - about the demonstrator they have delivered and the lessons they learned. If you’re interested in using connected digital twins to forge the path to Net Zero, then this event is for you. Register for our end-of-project webinar on 2nd March, 10:30 – 12:00: https://www.eventbrite.co.uk/e/credo-collaborating-and-resilience-through-connected-digital-twins-tickets-228349628887
  18. At this morning's Gemini call NDTp update, @Peter El Hajjpresented a timeline of milestones from across the programme in 2021. From breaking through the 3000 member barrier here in the DT Hub community, to projects that have received wide recognition such as the CReDo film, a lot has happened that you may not know about. Here is the timeline and I have taken the liberty of sharing links to information on all of the key milestones below: Digital Twin Toolkit and Collaborative Workshop 2020 Benchmark Report Skills and Competency framework Capability Enhancement programme Agile Standards white paper The 7 Circles of Information Management and Process Model-based Information Requirement Cyber Physical Summit 1 Year of Gemini Calls The journey towards ‘grounded semantics’ CReDo webinar and film Ethics and the Gemini Principles report Would you like to give some recognition for a job well done in 2021? Whether it's for any of the CDBB team or even within your own organisation, feel free to share it below. On a final note, it's been a pleasure to be your Community Manager for the last 2 months, to have seen so many faces on Gemini Calls and I'm excited to establish our brand new DT Hub Community Council in 2022!
  19. Produce a benefits report and valuation for the National Digital Twin Climate Resilience Demonstrator (CReDo) Calling valuation experts who like a challenge. How would you value data and resilience? Help us quantify the benefits of CReDo and articulate the direct and indirect benefits of a CReDo-type approach to climate adaptation. Access the tender documents here: University of Cambridge Electronic Tendering Site - Project Manage - Tender (in-tendhost.co.uk) Register interest through the link by 14 December and submit proposals by 4 January.
  20. Hi, I found this doing a search of open data a couple of years ago thought you might find it interesting. Flood plane area Barking Riverside is not on the flood map, has the displacement been calculated for the mass of the new builds. Building on flood the plane and not showing it as a risk on the UK GOV flood map that bots would check for insurance and mortgages. Regards John
  21. ‘CReDo is a small step to something potentially huge. It is something tangible that people can see and interact with, taking away the mystique of digital twins’, Matt Webb, Head of Enterprise Data, UK Power Networks The message coming out of the National Digital Twin programme’s webinar, ‘Increasing our climate resilience through connected digital twins’, is that working together is vital for safeguarding our future. The CReDo project leads the way in showing how collaboration and the sharing of data can dramatically improve our resilience to extreme weather conditions caused by climate change. Held at the same time as the COP26 climate conference, the webinar on 2 November 2021 launched the Climate Resilience Demonstrator (CReDo) to over 220 attendees from 17 countries and multiple industry sectors. It introduced the CReDo team and collaboration partners and covered the scope of the project, also hosting a panel interview and open Q&A session. Chaired by Arup’s Global Digital Energy / Digital Twin Leader and Gemini Call Chair, Simon Evans, the event began with the internet premiere of the new CReDo film, a poignant piece about the climate emergency and how it affects us all, especially the most vulnerable. The film offers a view of a world where engineers can make critical decisions based on data from connected digital twins, and improve resilience in a way which makes a difference to people’s lives. CReDo project lead, Sarah Hayes, reflected on the reality of the film and explained how CReDo is developing a climate change adaptation digital twin looking at the impact of flooding on infrastructure interdependencies across energy, water and telecoms networks. Alongside, Sarah introduced the CReDo app, produced by the Environmental Systems Research Institute (ESRI UK), which invites users to see how connected digital twins can change outcomes for those faced with extreme weather in the fictional town of Sunford City. Sarah explained how the app has been developed to show what a CReDo digital twin can do and that both the film and the app are based on the same fictional storm Ruby, a storm caused by climate change. The app was developed with manufactured data to present a realistic scenario that asset owners could be faced with. Behind the scenes, the technical team is working with the real data to develop the CReDo digital twin. CReDo Technical Architect, Tom Collingwood summarised the key elements of the project, which bring together climate projection data with flood data, and asset data to calculate system impact to inform a greater understanding of the system effects caused by asset failure. These insights can then be used to inform decisions concerning operational and capital planning to increase resilience across the infrastructure system as a whole. The digital twin demonstrator will show the bigger picture about what can be achieved through knowledge exchange and cross-sectoral cooperation. ‘We’re talking about people, and that’s what matters at the end of the day,’ Tom said, bringing his presentation on the challenges and successes of CReDo’s technical approach to a close. CReDo project partners, represented by Tom Burgoyne, Anglian Water; Louise Krug, BT; Matt Webb, UK Power Networks; and Tamar Loach, Connected Places Catapult, agree that the ambition relies on close collaboration and a joined-up approach to make it work. Data sharing between networks, enabled using an information management framework, will help us to create resilient infrastructure systems and allow us to adapt to extreme weather events caused by climate change. The active Q&A session underlined the need for the CReDo approach, emphasising the opportunities that joined-up systems and processes can deliver to this sector and others in reducing risk. Robin Pinning from the Hartree Centre, part of the Science and Technology Facilities Council, noted the need for culture change in understanding and in recognising the value of data, along with a drive for investment. One further topic, data security, is also at the forefront of everyone’s minds and CReDo is working towards establishing the framework to cover technical, legal, procedural and security concerns and applying federated access protocols. ‘Data and information are going to be key in mitigating climate change. Bringing that data together in digital twins is going to propel us to enhance resilience,’ Gavin Shaddick, Joint Centre for Excellence in Environmental Intelligence The expectation is that CReDo will be scalable to other networks, contexts and locations. Gavin spoke live from COP26, having seen at the conference a real understanding that data sharing in order to inform a bigger picture view is an important theme in developing resilience, adaptation and the pathway to Net Zero. There is no doubt that there will be technical challenges but desire for cross-sector collaboration for data sharing is growing fast. Gavin told the webinar, ‘Work that is going into CReDo on data interoperability and information management is directly transferable and this will make connecting digital twins much easier, both from the technological point of view and the learning in the non-technical aspects including data sharing agreements, how these are formulated and how to involve people in wide interdisciplinary groups’. Robert Pinning supports this view and believes that the project will translate easily to industry and the public sector, acting to speed up adoption of new projects and use cases. ‘There is a need to develop more use cases like CReDo to show the value that can be derived from digital twins,’ Tamar Loach, Technology Initiative Director, Connected Places Catapult. Ultimately, demonstrating the value will be down to collaborative effort across academia and industry, public and private sectors, within regions and nations, and globally. As this climate resilience project and similar use cases for connected digital twins catalyse action and enable change, then as a society we will be better positioned to adapt and respond to the challenges that face us. The CReDo team at the National Digital Twin programme would like to thank Simon Evans, the invited panel and the webinar guests for their valuable contributions at this event. For more information, contact Rachel Judson, credo@cdbb.cam.ac.uk Watch the webinar recording: View the CReDo film and try the app
  22. Bringing CreDo to life With COP26 on the horizon, we are fully immersed in preparing to showcase the Climate Resilience Demonstrator - CReDo. We have appointed two partners to help us communicate the story in an engaging and inspiring way and demonstrate the huge potential of information sharing. Firstly, we are working with Crocodile Media to develop a short, dramatic film that will tell the story of a flooding event and how connected digital twins may provide a better response to climate disasters. The second partnership is with ESRI, a provider of online maps and 3D models of cities, who are developing an interactive demonstrator that will allow the public to test out various scenarios on a made-up city. The purpose of both will be to demonstrate how information sharing across organisational boundaries is a key enabler to improving resilience of infrastructure systems. We have organised an event “Increasing our climate resilience through connected digital twins” on the 2nd of Nov to watch the film, see the interactive tool in action and find out more about how connected digital twins can help to tackle climate change. We’re delighted that the project doesn’t end with COP26 – instead, the technical development of CReDo will continue until next year and will be delivered through a collaboration of research centres and industry partners; The Universities of Cambridge, Edinburgh, Exeter, Newcastle and Warwick will work alongside the Hartree Centre, DAFNI, Science and Technology Facilities Council, CMCL Innovations, the Joint Centre of Excellence in Environmental Intelligence, CPNI and Mott MacDonald. We are also delighted to be working in partnership with three major UK utility providers; Anglian Water, BT and UK Power Networks who are equally committed to making bold steps towards resilient infrastructure. Progress on IMF’s seven circles We have been moving forward with all seven circles of the Information Management Framework from top level ontologies, to integration architecture to information quality management. One document I particularly want to highlight is ‘Managing Shared Data’, an exciting piece of work being developed by @Matthew West, Technical Lead for the NDTp. He is bringing together the lessons we’ve learned over the past three years since publication of the Pathway toward an IMF report and providing clarity on what it means for organisations to manage information effectively, an essential enabler for connecting digital twin. It is in development and we’re hoping to release the final document by the end of the year. DT Hub There are three main activities to highlight for October: DT Hub website update. We’re keen to keep improving the useability and layout of the site so the new version of the DT Hub will include a public facing page, with all the resources to make it easier to access public documents. It also includes a page to host all information related to CReDo. DT Roadblocks workshop series. As the community progresses on their digital twin journeys, it is inevitable there will be a myriad of challenges. The great aspect of being part of a community is that there are others who have faced similar challenges and can share their learnings or provide insights in to how to overcome your particular hurdle. Our first workshop is aptly named, “Problems shared, problems halved”. If you would like to be part of a constructive discussion, do sign up to this series, running until the end of the year. Smart Infrastructure Index. We have just launched our latest SII survey to enable members to measure their digital maturity and benchmark progress against peers. When members complete and submit the survey, the SII will generate a personalised report including a score and targeted recommendations. The idea is that it enables users to identify areas for improvement and to support the prioritisation of future activities. The survey is open until mid-November and can be accessed here.
  23. until
    The Climate Resilience Demonstrator (CReDo) project from the National Digital Twin programme is holding a webinar to launch the project to a global audience in conjunction with the COP26 climate conference on 2nd November at 10:30-12. This webinar replaces the weekly Gemini Call, and the DT Hub community are encouraged to sign up, as well as inviting their wider networks to attend. The climate emergency is here now, and connected digital twins are an important part of achieving net zero and climate resilience. The CReDo team will present how the project meets this urgent need, and will premiere two exciting outputs – a short film and an interactive visualisation of how connected data across three infrastructure networks can provide better insights and lead to better resilience of the system-of-systems overall. Only if we come together to securely share data across sectors can we plan a smarter, greener, more resilient built environment. Book your spot today! Keep an eye on the DT Hub website for updates about the CReDo programme.
  24. Peter El Hajj

    NDTp August 2021 Editorial

    The summer was marked by our milestone event, the Cyber-Physical Fabric Summit, which took place on July 19th. It was a huge success with more than 800 people registered, and close to 400 people on the live calls and a series of insightful roundtable discussions. There was a live Zoom chat running in parallel to the summit, with the comments every bit as engaging as the content. Each roundtable had a further thread on the DT Hub to ensure that others could catch up on the discussion. The summit was not only useful in terms of pooling knowledge and ideas, but in creating movement towards the shared goal of developing an ecosystem of interconnected smart machines and digital twins. It left me feeling energized to hear from others who are equally excited about this journey and to have a cross section of academia, government and industry take part. The main takeaways for me were: The need for boundary spanning leadership. Our speakers underlined the importance of taking an interconnected and collaborative approach to working across sectors, industries and organisations. I liked the analogy of an octopus – something that joins the intelligent tentacles and makes them work together. Deep socio. In the same way that we have ‘deep tech’, there was a lot of discussion around ‘deep socio’ and ensuring the social side of creating our cyber physical fabric has equal weight to the tech side. There is a real need to address issues around ethics, privacy and commercial and regulatory requirements. Creating and adopting in tandem. It was great to see so much consensus around the importance of adoption. We need to constantly be implementing the latest research, so we can test and refine as we go along. Living labs. There was discussion around how we need to keep testing what we’ve created to really see what is working and what isn’t and what the impact is on real people. There’s a really interesting example taking place at MIT where their Living Labs programme is developing a scalable data management platform, allowing them to collect and integrate multiple types of data including: personal data or “small data” (collected by smart phones, activity tracking devices, or new wearable sensors); MIT data (wifi data, campus maps, event data etc); as well as external data types (social media data, transportation data, weather, city data etc). A further example worth following is the Smart Mobility Living Lab London where they are using smart mobility living as a test-bed for data innovation. DT Hub We continue to grow fast and have crossed the 2,000 member mark. We now have members from more than 1,000 individual organisations across 60 different countries. There has also been an increase in participation with many more new postings and threads being generated by our members. Do log on to add to the discussions! Also look out for our Flex 260 Standards, which opens for public consultation. Again we really value your feedback. As we grow, so does our need for additional staff and I’m delighted to welcome two great additions to the team: @Kirsten Lamband @Catherine Condie. Both come with a wealth of experience and will be driving our communications and engagement activities across the programme. CreDo Update CReDo, the Climate Resilience Demonstrator, is a climate change adaptation digital twin demonstrator project to improve resilience across infrastructure systems. We launched a new DTHub page for CReDo where we will be sharing progress and the benefits of cross sectoral information sharing to improve climate resilience across infrastructure. We are exploring examples of interdependencies map for infrastructure systems. Check out this thread and share any thoughts you might have. An important part of our Credo programme is communicating the technology and research to a diverse audience in an inspiring way. We have tenders out to create a video and would be grateful if you could circulate the following with your network
  25. As part of the Climate REsilience DemOnstrator (CReDo) project - which is a collaboration of the National Digital Twin programme and the Connected Places Catapult - we are looking for a supplier to deliver the data engineering underpinning the demonstrator Digital Twin. The tasks to perform include: - data engineering, with data scientists and modellers as users; - descriptive data visualisation, showcasing the fusing of disparate datasets and computer models to paint a picture of multiple infrastructure systems in one place; and - source complementary datasets, join clean and enhance existing datasets, deal with missingness and creative data fusion We believe this is an excellent opportunity for the supplier to showcase their skills and capabilities, not just to the National Digital Twin community but to the wider world through a high-profile demonstration (hopefully at or linked to COP26). While we expect the outcomes of the project to be owned by the CPC (and disseminated widely to stimulate development and uptake of Digital Twins), we are very supportive of the supplier leveraging the outcomes to generate new business for themselves. The deadline for submission of proposal is 14 June and the contract is expected to start on 5 July. More details, including the official tender document, can be found here.
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