S08 TRME Construction 2019 Design Software_BIM_Layout 1 13/08/2019 07:56 Page 31
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global economy and environment for improved quality of life. However, it’s highly likely that different disciplines will be involved. For example, civil, structural, mechanical, heating, drainage, lighting, and fire safety engineers will all need to share information and coordinate their work. They will need the information wherever they are based, and within whatever line they are working. At Bentley, the foundation of our solution is the connected data environment. OpenRail’s Connected Data Environment (CDE) is a set of cloud‐provisioned services that enable firms to better manage and access consistent, trusted, and accurate information. An OpenRail CDE ensures that the “BIM potential” created by multidiscipline digital engineering models can be fully realised during project delivery. With an OpenRail CDE, owner‐operators and their supply chains can share the benefits of seamless collaboration, helping improve decision making and deliver better business outcomes. OpenRail’s holistic approach also allows for Steve Cockerell, industry marketing director, rail and road, Bentley Systems. the adoption of a systems engineering approach. Leveraging data within OpenRail’s CDE, our ComplyPro software simplifies the delivery of compliance and assurance on rail projects, reducing the cost and time typically associated with poor design visibility and/or build non‐compliance. The major differentiator here is that ComplyPro allows engineering and delivery teams to manage assurance of the design and delivery process collaboratively over time, reducing the need for costly parallel processes and increasing the integrity, efficiency, and quality of assets constructed.
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use near real‐time data to warn when thresholds are reaching critical states. For example, a user might see warnings in the system telling them that the amperage on a switch is higher than normal. Then, they can use data in the connected data environment to look at maintenance records and/or work history to see what corrective measures have been implemented previously, at failure modes for the relevant asset, or suggested solutions. This is an area where I think we will see significant change in the coming years. As the world at large moves rapidly towards the use of so‐called ‘Big Data’ and real‐time analytics using information from IoT connected devices, we will see the large‐scale use of digital twins in rail. Here digital twins are synchronised with the physical asset out in the real‐world using Bentley’s iTwin Services, to support ongoing operations and maintenance. In this scenario, insight gained from a digital twin can be leveraged alongside the professional experience of the people involved to either simulate performance to a different set of criteria or predict solutions to problems long before they happen. ■
TRME: Can advanced software monitor the health of the asset, as well as performing design functions? SC: Yes. When you’re talking about service and reliability in rail, it is really about operations and maintenance. The focus has shifted from on time and on budget provision of the required assets to the safe and efficient running of a railway. These capabilities are where Bentley’s OpenRail AssetWise applications come to the fore. Alongside ComplyPro, which provides continuous assurance and greater visibility into asset health during operations, OpenRail Asset Reliability and Operational Analytics draw upon the intelligent data stored and managed within the connected data environment, to deliver the potential for increased reliability and performance of linear and non‐linear assets. With linear assets like track or overhead line, information stored and used for analysis can be seen in registration against a schematic of the network and might include condition data from a track recording vehicle, ground‐penetrating radar scans or walked inspections, plus work history. With OpenRail Operational Analytics, asset managers can review the information, analyse trending data, and identify problem areas before making informed decisions to resolve them. For non‐linear or “located” assets, Operational Analytics allows information managers to look at data received from sensors on assets across the network via a dashboard. This type of visual analysis of asset condition and performance offers the potential to www.technicalreview.me
Technical Review Middle East - Annual Construction Review 2019