Workflow
桩瞳——海上风电桩基冲刷智能监测预警系统
icon
Search documents
鲁东大学研发“桩瞳”系统,攻克海上风电桩基冲刷监测难题
Core Insights - The offshore wind power industry in China is rapidly developing under the "dual carbon" strategy, but the foundation of offshore wind turbines faces risks due to erosion from waves and tides, which can lead to reduced load-bearing capacity and potential tipping of wind turbines [1][2] Group 1: Technological Innovations - A research team from Ludong University has developed the "Zhaotong - Offshore Wind Power Foundation Erosion Intelligent Monitoring and Early Warning System," providing an innovative solution to the industry's challenges [1] - The system achieves three core breakthroughs: - 360-degree, all-weather monitoring through a 16-dimensional distributed stress sensor array, integrating multiple modules such as vibration, flow velocity, water pressure, and pressure to create a comprehensive sensing network [1] - Real-time early warning capabilities using advanced algorithms like Kalman filtering, principal component analysis, and BP neural networks to accurately assess erosion depth and evaluate the safety status of the foundation [1][2] Group 2: Deployment and Cost Efficiency - The system features a lightweight and modular design that allows for quick installation in just ten minutes on-site, with remote communication and unmanned operation capabilities, making it cost-effective for widespread adoption [2] - The development process involved numerous simulations in a large wave flume at Ludong University and field tests in various locations, ensuring the system's stability in real marine environments [2] Group 3: Recognition and Future Plans - The "Zhaotong" system received unanimous acclaim from experts at the "Challenge Cup" competition for its technological advancement, engineering feasibility, and significant application value [2] - The team plans to continue optimizing the system and promote its application in more offshore wind farms, contributing Chinese wisdom and solutions to the global offshore wind power industry [2]