一种适用于小箱梁模数式伸缩缝的声纹监测传感器优化布置方法
By optimizing the acoustic sensor placement method and combining the noise reduction effects and dynamic threshold settings of different brands of sensors, the problems of random sensor placement and noise interference were solved, enabling accurate diagnosis of bridge expansion joint defects and improving data quality and diagnostic efficiency.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- JSTI GRP CO LTD
- Filing Date
- 2025-09-15
- Publication Date
- 2026-07-17
AI Technical Summary
The placement of acoustic fingerprint sensors at bridge expansion joints in existing technologies lacks scientific basis, resulting in poor recognition and stability of the collected sound signals, significant background noise interference, and difficulty in achieving accurate and intelligent diagnosis of expansion joint defects.
By optimizing the placement of the voiceprint monitoring sensors and considering the noise reduction effects and sound pickup differences of different brands of sensors, a sliding window dynamic percentile threshold method is used to set the background noise threshold. The effective waveform energy ratio and signal-to-interference-plus-noise ratio are calculated to ensure that the sound collected by the sensors is clear and stable, and to eliminate the influence of parameter differences among multiple brands of equipment.
It enables precise and intelligent diagnosis of bridge expansion joint defects, improves data consistency and reliability, reduces background noise interference, and optimizes the economy and accuracy of sensor deployment.
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Figure CN121230867B_ABST