Substation Flood Risks Assessment, Monitoring and Early Warning System

SUSTAINABILITY CHALLENGE

One of the 4 Key Sustainability Challenges

A 3D map shows flood simulation data with color-coded water depth and flow vectors over a rural area; ideal for Flood Monitoring and Early Warning System planning, with simulation timestamps listed on the left.

Story Highlights

UTILIZED SOFTWARE

Bentley Software

LOCATION

ORGANIZATION/COMPANY

PROJECT SUMMARY

PowerChina Henan Electric Power Survey & Design Institute Co., Ltd. developed a Substation Flood Risks Assessment, Monitoring, and Early Warning System to protect critical 500kV substations in Zhengzhou, China, against extreme rainfall like the ‘21.7’ event. This RMB 2 Million project achieved 40% time savings and improved quality/efficiency by over 60% through a digital twin approach. The system uses 3D laser scanning and AI (PointNet++, RandLA-Net) for automated point cloud noise removal and semantic segmentation, enabling the precise 3D modeling of substation equipment. OpenFlows Sewer establishes 2D surface water models to predict flood water level and flow under different rainstorm conditions. The solution unifies multi-source data (aerial, terrain, BIM, sensor) via Bentley Cesium and WebGL for a realistic 3D flood deduction and early warning platform. This innovative system forms a complete disaster perception and simulation framework, reducing the grid’s vulnerability to extreme weather and achieving an international leading level in technology.

Relevant UN Sustainable Development Goals (SDGs)

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