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  1. Hi guys, so my first post and an opening for discussion. Should the production of the digital twin be tied strictly to the physical construction? My reasoning for bringing this up is that all too often digital assets are left hanging and incomplete at the end of a project during handover, for a digital twin to be truly effective it needs to be commissioned just like the physical asset with remediation planned in, well into the operational phase. All too often the model authors and those intimate with the data have moved onto other projects with updates and changes being difficult to implement which means the model is already behind when it comes to operations. It's worth pointing out that my personal experience is in utilities and O&G where assets are large, complex and take time to transfer data to the asset management systems, having a separate and deliberate project plan that takes its queues from the master plan could alleviate many of these handover issues.
  2. Dear DT Hub Community Does it feel like getting started on a Digital Twin journey is too hard? Firstly I agree with you and believe that it won't stay this way for long (believe.. he says!). After several years working in UK infra, I now see more of the "realities" of digital twins.... I've worked as the buyer, seller, and builder of digital twins. I am trailing this theory with a major UK Infrastructure Operator (early stages), however, I would really like to determine the interest of this group because I want to draft up a proposal/action plan. To give you an idea the organisations that I have worked with, and who have influenced my thinking are: Clients - Network Rail, Highways England, Connect Plus Services, National Grid, Thames Water, Northumbrian Water, EDF Contractors - Costain, Balfour Beatty, BAM Nuttall, Kier..... Consultants - Mott MacDonald, Turner, and Townsend, PWC, Deloitte..... 1. Digitisation of existing physical assets is seen as a laborious process that doesn't deliver immediate results. This is primarily due to a lack of awareness of the people, processes, and products involved…. It is infact becoming far cheaper and more reliable than ever before: The range and “sophistication" of mass data capture systems and semi/fully autonomous mapping hardware, means that all visible assets can now be readily scanned/digitised/mapped to a high degree of fidelity. (See the wide range of ROVs, UAVs, autonomous submersibles, Network Route Scanning by land air and sea (rail, road, utilities)) Not to mention the advances in Persistent Scatter Interferometric Synthetic Aperture Radar. Which means creating an accurate digital replica of visible assets is become cheaper, safer, more available and more intelligent every 6 months. 2. Organisation and structuring of data are often viewed as highly necessary, however, due to its perceived complexity/risk/cost it is always approached hesitantly/using old thinking There are many options for automatically structuring/re-structuring/transforming data of most types. For fully autonomous data cleansing and structuring, there are now a several information classifier systems (See NET CAD and many more). Even for semi-autonomous cleansing, the functionality of Excel - Power BI - SQL Databases is fit for most of these activities and can drive immediate near term value using recently trained in house staff. This is commonplace and has been happening in other industries for decades. We recently completed an internal activity using an auto data cleanser and classifier and a standard taxonomy, lessons learned for us where there is no point getting the tech right if you forget to train the people! But we all make mistakes. 3. Analysis and use of data - Companies that don’t do much of this believe that to do a lot of it they need 1 of 3 things (Expert 3Rd Party Support/Extensively upskilled internal staff/Hired in Talent). Most organisation agonise between buying supplier services in to do this job quickly (and well!) and wanting to develop their in house data analysis skills (because who wants to be beholden to suppliers?) either through training or in hiring. There is a 4th option though!! Many many organisations around the world now focus on building data analysis capability at client organisations through the provision of "Standard Algorithm Market places". This is an online Ocado for algorithms. Sometimes you want to buy a ready meal (fully finished algorithm) and sometimes you want to build a soup from several base ingredients. In the modern-day, you don't need to know how to grow a carrot to make carrot soup, you just need to combine ingredients. And the same thinking should be applied to Analysis of Data, you don’t need to be able to write code, or even understand how code is written, to be able to develop very powerful algorithms. Just like the farmer who cultures the Carrot for you, these new suppliers culture very powerful modular algorithms that do specific things. Lets take Satellite imagery analysis for example, there are no longer complex codes, just drag and drop tools that do different things such as (Pick out trees, Trace out the Road markings, Determine total blacktop surface). So now all you need to do is plug these functional algorithms (tools) together and you are up and running! 4. Monetising the data is hard. This bit is actually very simple to do! This is the fun part, there are loads of Management Consulting and Business Startup exercises that help show how to monetise data, information, and analytics. If you are worried only about this bit then you haven't got much to worry about. 5. People, people people........people People need more attention! I have been told that this community is eager to hear from suppliers who are already delivering digital twin solutions, already delivering value, and want a large partner to work alongside? It is not unusual for a rapidly emerging industry to have sudden drops to the "barriers for entry". I believe we are entering one now so it is a really good time to talk about what might and might not work for us. Much respect, Peter Slater MIET MEng - "Digital Maturity has no finish line"
  3. The Smart Infrastructure Index© builds upon learning from Project 13, providing a user-friendly way for infrastructure asset owners to measure their digital maturity and benchmark progress against peers. Now, members of the DT Hub will have the opportunity take part in the Smart Infrastructure Index survey designed specifically for the DT Hub. Developed specifically for the built environment and infrastructure industry, the Index provides a holistic view of digital maturity: from customer insights to digital twins; modern methods of construction to whole-life asset management. As the standard measure of digital maturity in the UK built environment, it is used for benchmarking by the Infrastructure Client Group. The survey will open on the 14th July and close on the 31st August with a full report expected in October. The Index allows organisations to: Understand their digital maturity using a proven methodology Identify capability gaps and priorities to address in their digital roadmap Benchmark performance against their peers and learn from the best The DT Hub and Mott MacDonald Digital Ventures have worked together to bolster the standard Index, adding a new questions set which revolves around digital twins. Together with the original seven categories, the Index now asks questions about: Digital Twins Customers Commercial Digital transformation Asset management Asset delivery Asset performance Continuous improvement When you complete the survey, the Index will generate a personalised report including your score and targeted recommendations, sent straight to your email inbox after completion. The initial results will look something like this: Finally, we will aggregate the DT Hub members’ scores and use the insights provided by the Index to produce a report about current digital maturity in our journey towards a national digital twin. The index measures the digital maturity of organisations and as members you will shortly receive an invite in your DT Hub inbox inviting you to take part on behalf of your organisation. We hope you will join us in this opportunity. If you have not received your email with the link to the survey by the 17th July, please contact enquiries@digitaltwinhub.co.uk.
  4. Peter Lee

    DTs for Smart Cities

    This webinar may be of interest from Smart Cities World: Leverage digital twins to optimise municipal operations Find out how Gwinnett County (USA) is unifying IT/OT/IoT systems to provide complete visibility to all municipal data. Using a Digital Twin of their municipal operations allows faster, more informed decisions and speeds crisis response while lowering their total cost to operate their services. https://www.smartcitiesworld.net/webinars/webinar-centralized-command-and-control-of-multi-site-municipal-water-operations
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