基于光纤传感技术的半煤岩巷道围岩实时监测系统
The real-time monitoring system for the surrounding rock of semi-coal and rock roadways using fiber optic sensing technology calculates a comprehensive risk index using a multi-dimensional coupling criterion module. This solves the problems of filtering out minute local shear signals and high false alarm rates in existing technologies, and enables accurate real-time monitoring and early warning of the surrounding rock of semi-coal and rock roadways.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- INNER MONGOLIA HUANGTAOLEGAI COAL CO LTD SHI LIN CHEM BRANCH
- Filing Date
- 2026-06-18
- Publication Date
- 2026-07-17
AI Technical Summary
In existing technologies, when monitoring the surrounding rock of semi-coal and rock roadways, fiber optic sensing technology is prone to filtering out minute local shear precursor signals due to the general filtering algorithm. A single threshold criterion cannot distinguish between transient mechanical disturbances and substantial rheological damage to the surrounding rock. The lack of geological stiffness parameter correction results in poor early warning targeting and a high false alarm rate in complex environments with alternating soft and hard layers.
A real-time monitoring system for the surrounding rock of semi-coal-rock roadways based on fiber optic sensing technology is adopted. It includes a data acquisition module, a spatial signal reconstruction module, a lithological interface dynamic calibration module, a spatial shear feature extraction module, a temporal rheological feature extraction module, and a multi-dimensional coupling criterion module. By performing spatial domain smoothing fitting on the original strain data, the system identifies the coal-rock boundary depth, calculates the initial stiffness ratio and shear decoupling index, and calculates the comprehensive risk index by combining the rheological decoupling degree, thereby generating risk warning instructions.
It effectively extracts the local spatial geometric distortion characteristics of the surrounding rock, keenly captures the micro-bending deformation in the early stage of coal-rock interface slippage, reduces the false alarm rate, improves the accuracy and pertinence of the monitoring system in the soft-hard interlayer environment, and reduces false alarms caused by mechanical disturbance.
Smart Images
Figure CN122412866A_ABST