Structural health monitoring system and method
By combining event-based sensors and spiking neural networks, structural deformation can be sensed by utilizing changes in the position of light spots. This solves the problems of high power consumption and high cost in existing technologies, and enables low-power, low-cost real-time monitoring and automatic early warning, which is suitable for large-scale building safety monitoring networks.
Patent Information
- Application Number
- CN202610256737.2
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-03-04
- Publication Date
- 2026-04-03
AI Technical Summary
Existing building structural health monitoring technologies suffer from high power consumption, high cost, complex installation, and difficulty in achieving real-time automatic early warning, making it difficult to meet the needs of modern large-scale building safety monitoring networks.
A structural health monitoring system combining event-based sensors and spiking neural networks can sense structural deformation by changing the position of light spots, perform edge computing and provide real-time early warnings, reduce system power consumption, and support the construction of large-scale monitoring networks.
It achieves real-time monitoring and automatic early warning with ultra-low power consumption and low cost, and has excellent scalability, making it suitable for large-scale building safety monitoring networks.