CASE STUDYMMC Gamuda Integrates Reality Capture on Delivery of Malaysia’s First Metro Megaproject
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CASE STUDYMMC Gamuda Integrates Reality Capture on Delivery of Malaysia’s First Metro Megaproject - 1

Advancing Infrastructure Project Summary Organization: MMC Gamuda KVMRT (T) Sdn. Bhd. Solution: Reality Modeling Location: Kuala Lumpur, Malaysia Project Objectives: • To capitalize on reality modeling capabilities for quick, accurate, and safe surveying, and to industrialize project delivery. • To establish an open, connected data environment to make 3D reality models accessible across cloud-based platforms. Products Used: AssetWise®, ComplyPro, ContextCapture®, Navigator, OpenRail™, ProjectWise® MMC Gamuda Integrates Reality Capture on Delivery of Malaysia's First Metro Megaproject ContextCapture Pushes the Boundaries of Reality Modeling within a Connected Data Environment to Transform Conventional Surveying Fast Facts • MMC implemented a digital reality capture workflow using UAVs, ContextCapture, and ProjectWise for Malaysia's SSP line. • Working in a connected data environment across cloud-based platforms streamlined accessibility to 3D reality meshes, facilitating remote decision-making. • ContextCapture helped extend the application of reality modeling, optimizing design, construction, and on-site safety. ROI Leveraging UAV data capture with Bentley applications provided a fast, reliable, and cost-efficient solution to save over 1,000 resource hours. Integrating ProjectWise with GIS applications produced an information powerhouse that enhanced understanding of on-site conditions and context. The digital reality capture solution improved productivity by an estimated 30 to 50 times compared to conventional methods. Digitalizing a Metro Megaproject The Sungai-Buloh-Serdang-Putrjaya (SSP) metro line is part of Malaysia's rail-based Klang Valley Mass Rapid Transit initiative to reduce traffic congestion and improve public transportation in Kuala Lumpur. Running through dense urban areas of the capital city and its southern suburbs, the SSP line will serve approximately 2 million people with an expected daily ridership of 529,000 passengers. The 52.2-kilometer-long alignment consists of 38.7 kilometers of elevated track, 13.5 kilometers of underground track, and a total of 35 stations. MMC Gamuda Joint Venture (MMC) is the turnkey contractor, focusing on the underground works that include constructing twin-bored tunnels for the length of the underground track and 17 individual construction sites, the largest exceeding 17,000 square meters. Situated in a congested city environment, the USD 7.5 billion project presented tight site constraints and significant amounts of data. With multiple project participants and stakeholders required to meet Malaysia's strict regulatory requirements, MMC realized the need for a quick, accurate, safe, and accessible reality capture solution. The joint venture relied on surveying using unmanned aerial vehicles (UAVs) and Bentley's interoperable reality modeling and information sharing technologies. Combining these applications enabled the team to capture hyper-realistic visuals, create a digital context for the project, and establish digital workflows to optimize construction to deliver the country's first metro megaproject. Establishing a Reality Capture Workflow MMC capitalized on UAV capabilities to acquire large volumes of data at extraordinary speeds and share it through cloud-based platforms for multiple BIM and GIS applications. The team used these capabilities for tasks that included site progress monitoring and reporting. While manual surveys take an average of 200 hours with limits on the amount of data collected, UAVs can collect hundreds of overlapping photos in less than an hour and then process them in just half a day per site using ContextCapture. Using Bentley's reality modeling application, MMC derived a 3D photogrammetric model of Kuala Lumpur, assembled from the UAV-captured images, to establish a digital context for each construction site within a broader perspective of the city. With predetermined flightpaths at varying elevations and good ground control points (GCPs), UAVs were able to capture accurate georeferenced images along the tunnels' alignment between Chan Sow Lin and Bandar Malaysia North stations. The images were processed using ContextCapture to generate a 3D reality mesh that enabled precise positioning of the tunnel boring machines in relation to aboveground structures. "Using drones and ContextCapture to generate highly accurate reality models was not an enhancement to MMC's existing workflows. It was never possible previously," said Nick Morecock, BIM manager at MMC. Bentley's reality capture solution established a new digital workflow that optimized the survey team's ability to assist the construction team. The integrated digital survey method enabled MMC to generate 3D models of the Bandar Malaysia North station from a sequence of photos taken over an 18-month period. Using 3D reality meshes, the team performed 4D analysis of the construction site to measure on-site progress with different surveys at different points. They shared the construction progress with the client using a 3D visual model. While a traditional time-lapse photo from a fixed camera provides a good visual record, it cannot be used for surveying or measuring, unlike 4D. Accurate reality models provide real-world digital context to digital twins that facilitates 4D construction monitoring, as well as enables visualization and analysis of excavation, tunnel boring assembly and launch, and permanent structure construction. Extending the Application of Reality Modeling Using 3D reality meshes facilitated construction planning and progress monitoring. Given the accuracy, interoperability, and reliability of models generated with ContextCapture, MMC expanded the scope of reality modeling to include design review verification, measurement, and safety enhancement. As part of its new reality capture workflow, the team integrated the photorealistic models into MMC's federated BIM design models to enhance constructability. At the Chan Sow Lin station, the team used the ContextCapture survey

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