Three-component roadbed karst cave detection sensor and detection system

Abstract

The invention discloses a three-component roadbed karst cave detection sensor. The three-component roadbed karst cave detection sensor comprises a columnar shell, a top cover matched with the upper end of the shell by threads, a bottom cover matched with the lower end of the shell by threads, a micro-processing unit arranged in the shell, a power supply board connected to the micro-processing unit and a sensor signal cable connected to the micro-processing unit, wherein the power supply board is a differential power supply board and used for supplying differential voltage to the entire three-component roadbed karst cave detection sensor, the power supply board is transversely arranged on the lower end of the shell, a ASIC circuit and three sensor power supply slots are arranged on the lower end of the differential power supply board, and the set positions of the three sensor power supply slots are matched with the locating places of three single-component sensors; the bottom cover is in a conical shape, multiple layers of stepped tables are distributed in the longitudinal direction of the bottom cover, so that MEMS micro-electronic sensing modules of the three orthogonal single-component sensors can contact the stepped tables at a maximum area. The invention also discloses a three-component roadbed karst cave detection system.

Description

technical field [0001] The invention relates to a sensor and a system, in particular to a three-component roadbed karst cave detection sensor and a detection system. Background technique [0002] With the continuous development of oil and coal mines, the problem of slope karst caves is becoming more and more serious, such as collapse and ground subsidence, etc., which pose a great threat to the safety of workers and road traffic. greatly increase. For this reason, it is proposed to use the characteristic of high sensitivity of the acceleration sensor to record the impact force of the ground reflected seismic wave. By analyzing the magnitude, direction and change trend of the reflected impact force, combined with the relationship between rock, soil reflection coefficient and reflection distance time, the position and risk factor of slope caves can be judged and evaluated, and technical support can be provided for project management and disaster prevention. [0003] Slope ka...

AI Technical Summary

Problems solved by technology

[0005] 1: It is difficult to fully record the spatial propagation information of seismic waves, and it is impossible to accurately locate the position of the slope cave

[0006] 2: Difficulty identifying P and S waves

[0007] 3: Accuracy and reliability of seismic wave data collection are low

[0008] A few days ago, the American IO company has produced the DSU3 three-component sensor. However, it is expensive, which makes engineering safety monitoring costly and limits its wide range of use.

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