Solutions
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Use AI-powered and modular inspection product to improve Singapore’s Urban Drainage Systems
Keywords: AI-powered, modular design, complex inspection, high-water
Located in the tropics, Singapore experiences abundant rainfall and complex terrain, making the maintenance and inspection of its urban drainage system crucial. Our AI-powered inspection solutions have assisted the PUB, Singapore's National Water Agency in completing comprehensive pipeline assessments.
This project encompassed full-scale inspections of stormwater drains, GIS data collection, and the application of artificial intelligence algorithms to enhance the efficiency and management of Singapore’s urban drainage infrastructure.
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Solution
We deployed the Discovery-GTS2 inspection system, which offers flexible adaptation to various pipeline conditions through its modular design.
- Equipped with a screw chassis, enhancing stability in complex water flow environments.
- Interchangeable wheel chassis, ensuring adaptability for different stormwater drainage structures.
- Integrated high-precision annular scanning sonar and LiDAR, enabling comprehensive inspection of complex underground networks.
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Solution
We developed an AI deep learning model tailored for Singapore’s drainage network.
- Leveraged a large-scale database of similar inspection environments to train AI defect recognition models, enhancing adaptability.
- Optimized AI model parameters in accordance with PUB standards, ensuring compliance with local standard.
- Integrated GIS data collection technology to support future data management and smart drainage system optimization.
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Solution
We enhanced the CCTV inspection system for improved adaptability.
- Specially optimized to withstand high-water levels, high speed flow, and intricate pipeline structures in Singapore’s stormwater system.
- Upgraded imaging capabilities to ensure clear visuals and accurate data capture, even in challenging conditions.
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Solution
We deployed RIFTEYE25 for pre-inspection assessments.
- Conducted a detailed preliminary survey of pipeline conditions before full-scale inspection.
- Captured high-resolution internal details imagery to support precise project planning and execution.
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