Finalists for Year in Infrastructure 2018 Awards: REALITY MODELING

Bentley Systems announced the finalists for Year in Infrastructure 2018 Awards in the category of Reality Modeling for going digital advancements in infrastructure:

  • Hong Kong Science & Technology Parks Corporation & Chain Technology Development Co. Limited

Smart Campus of the Hong Kong Science Park

Hong Kong

Project Playbook: ContextCapture, Descartes, LumenRT, MicroStation, OpenRoads, Pointools

Finalists for Year in Infrastructure 2018 Awards: REALITY MODELING

The Smart Campus initiative will facilitate management of the Hong Kong Science Park, including property development, facilities, leasing, transportation, and waste and energy. The project required many smart devices to survey and collect the necessary data. The Hong Kong Science & Technology Parks Corporation & Chain Technology Co. Limited was retained to provide hybrid modeling solutions to visualize, simulate, analyze, and manage all collected information. The organization also had to capture an accurate, geo-referenced 3D map for the foundation of the Smart Campus Management Platform.

This project required the integration of sophisticated 3D models, reality meshes, and a wide range of data. The organization optimized reality modeling of the developing campus with ContextCapture. Bentley Map provided the foundation of the customized cloud-based Smart Campus Management Platform, adding location intelligence to all the models and data. Bentley’s integrated BIM and reality modeling solutions have increased efficiency in project planning, design and implementation, reduced remedial works and enhanced decision making by a collaborative data ecosystem with Big Data Management and Artificial Intelligence.

  • Skand Pty Ltd

Building Envelope Inspection Powered by Machine Learning and Reality Modeling for RMIT University Brunswick Campus

Victoria, Australia

Project Playbook: ContextCapture

Finalists for Year in Infrastructure 2018 Awards: REALITY MODELING

Royal Melbourne Institute of Technology (RMIT) in Victoria, Australia initiated a building envelope inspection project to incorporate drone imagery and analysis into its 40-year, ISO-certified asset lifecycle program. The project was piloted at its Brunswick campus covering 6.5 hectares in an urban environment. Skand provided its own web-based application as the platform for the data and reality mesh to be accessed by asset owners and managers for more informed decision making on building maintenance activities.

The Skand team captured aerial and ground images of the campus and transformed them into meaningful data sets mapped to a 3D reality mesh generated with ContextCapture in two days, four times faster than other photogrammetry engines. The interoperability of ContextCapture facilitated consistent analysis and reporting in a web-based environment. The team delivered an inspection report with a 3D campus model in the web platform within seven days, saving AUD 70,000 in costs.

  • Transport for London – Major Projects Directorate

Deep Tube Upgrade Programme – Piccadilly Line Upgrade

London, United Kingdom

Project Playbook: Descartes, MicroStation, ProjectWise

As part of the Deep Tube Upgrade Programme to improve railway infrastructure, reliability, and accessibility along the London Underground, an engineering team was assigned to design, analyze, and deliver drawings to support the platform train interface strategy along the Piccadilly Line. The circa GBP 5 billion project requires the team to model the unique platform sections and perform analysis and simulation during migration stages to identify potential issues and avoid costly rework after final delivery. The newly renovated Piccadilly Line will provide increased capacity and transform customer experience.

The project team initiated a collaborative BIM and reality modeling approach using Descartes, MicroStation, and ProjectWise. Using Bentley’s integrated modeling and project management applications allowed the team to coordinate more than 11,600 documents and produce highly detailed, 3D models and animated renderings from over 1.1 terabytes of point cloud data. The software created a foundation for asset management and eliminated rework to save up to 75 percent in design time, lessening costs. ProjectWise provided a connected data environment for collaborative management of the digital engineering data among the team and stakeholders, advancing workflow efficiencies.

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