CN-122014346-A - Intelligent mine pressure monitoring and early warning device based on AI algorithm

Abstract

The invention discloses an intelligent mine pressure monitoring and early warning device based on an AI algorithm, which belongs to the technical field of mine pressure monitoring, wherein a storage groove is formed in the top of a bearing plate, uniformly arranged piezoelectric film sensors are detachably arranged in the storage groove, a circular shape memory alloy honeycomb plate is arranged at the top of the bearing plate, stress meters are sleeved at one ends, close to each other, of every two groups of anchor rods, uniformly arranged MEMS (micro-electromechanical systems) multi-mode sensors are embedded in the outer surfaces of one group of anchor rods, and are used for monitoring the influence of external loads on prestress. According to the invention, the pressure is accurately sensed through the piezoelectric film sensor, the stress meter monitors the axial force of the anchor rod, the mine pressure condition can be accurately mastered, and meanwhile, the influence of external load on the prestress is detected through the MEMS multi-mode sensor, so that the probability that accurate mine pressure data cannot be acquired due to the reduction of the prestress is reduced, the development trend of the mine pressure is accurately judged, and the accuracy and reliability of the mine pressure early warning and the safety of mine exploitation are improved.

Inventors

• SUN FANG
• MAO LIANGLIANG
• LI HUA
• Huang beihai
• CHEN LU
• LU WEI
• NIE ZHENG
• Zhu Lezhang
• DOU TAO
• Gao Dengyou
• HUANG YUXIN
• ZHAO GUOQI
• ZHAO TIANXIANG
• LIU SHOUFU

Assignees

• 淮北矿业股份有限公司

Dates

Publication Date

20260512

Application Date

20251219

Claims (10)

1. 1. The utility model provides an ore deposit pressure intelligent monitoring early warning device based on AI algorithm, includes bearing plate (1) and stock (2), and the top of bearing plate (1) runs through and is provided with the notch, and stock (2) are located the notch inboard, and stock (2) are provided with the multiunit, and every stock (2) of group are hollow structure, a serial communication port, the top of bearing plate (1) is provided with puts thing groove (3), the inside demountable installation of putting thing groove (3) has piezoelectric film sensor (4) of evenly arranging, the surface of bearing plate (1) is provided with open slot (5) of evenly arranging, and every open slot (5) of group all link up with putting thing groove (3), annular shape memory alloy honeycomb panel (6) are installed at the top of bearing plate (1). One end of every two groups of anchor rods (2) close to each other is sleeved with a stress meter (16), wherein MEMS multi-mode sensors which are uniformly arranged are embedded in the outer surface of one group of anchor rods (2), and the MEMS multi-mode sensors are used for monitoring the influence of external load on prestress.
2. 2. The mine pressure intelligent monitoring and early warning device based on the AI algorithm is characterized in that limit grooves (7) which are arranged at equal intervals are formed in the top of the bearing plate (1), each group of limit grooves (7) are communicated with a notch, each limit groove (7) is located on the inner side of the corresponding storage groove (3), each limit groove (7) is of an L-shaped structure, slots which are arranged at equal intervals are formed in the bottom of the bearing plate (1), each slot is communicated with each limit groove (7), the width of each slot is half of the corresponding limit groove (7), limiting blocks (8) are arranged in each group of limit grooves (7), the surfaces of the groups of limiting blocks (8) which are close to each other are provided with lantern rings (9), the outer surfaces of the lantern rings (9) are in butt joint with the inner surfaces of the notches, and the lantern rings (9) are sleeved on the outer surfaces of the other groups of anchor rods (2) and are welded and fixed.
3. 3. The mine pressure intelligent monitoring and early warning device based on the AI algorithm according to claim 1, wherein the sleeve (12) is sleeved on the outer surface of the anchor rod (2), one end of the sleeve (12) is connected with the top of the bearing plate (1), the outer surface of the sleeve (12) is abutted against the inner surface of the shape memory alloy honeycomb plate (6), the elastic rubber (13) is embedded in the inner surface of the sleeve (12), the sleeve (12) is made of soft plastic, and when grouting, slurry solidifies and presses the sleeve (12) to enable the elastic rubber (13) to be close to the anchor rod (2) and the stress meter (16).
4. 4. The mine pressure intelligent monitoring and early warning device based on the AI algorithm according to claim 2, wherein a plurality of groups of sand injection holes (10) are formed in the bottom of the lantern ring (9) in a penetrating mode, the sand injection holes (10) are used for filling fine sand into gaps of the sleeve (12) and the anchor rod (2), a blocking plug (11) is embedded in the sand injection holes (10), and a pull rope is arranged at the bottom of the blocking plug (11).
5. 5. The mine pressure intelligent monitoring and early warning device based on the AI algorithm is characterized in that one group of anchor rods (2) is connected with a stop block (15) through threads at one end far away from a stress meter (16), the stop block (15) is of a T-shaped structure, the outer surface of the stop block (15) is attached to the inner surface of the other end of the sleeve (12), one end, far away from the stress meter (16), of the other group of anchor rods (2) is connected with a locking nut (17) through threads, and the locking nut (17) is located below the bearing plate (1).
6. 6. The intelligent mining pressure monitoring and early warning device based on the AI algorithm according to claim 3, wherein the outer surface of the sleeve (12) is provided with evenly arranged slurry outlet holes (18) in a penetrating manner, and the slurry outlet holes (18) are in an outwardly-expanded horn shape.
7. 7. The intelligent mining pressure monitoring and early warning device based on the AI algorithm according to claim 1, wherein grouting holes (19) which are equidistantly arranged are formed in the top of the bearing plate (1) in a penetrating mode, and the grouting holes (19) and the limiting grooves (7) are distributed at intervals.
8. 8. The intelligent mining pressure monitoring and early warning device based on the AI algorithm according to claim 3, wherein a grouting groove (14) is formed in one end of the sleeve (12), and the grouting groove (14) is located on the outer side of the grouting hole (19).
9. 9. The mine pressure intelligent monitoring and early warning device based on the AI algorithm of claim 1, wherein the MEMS multi-mode sensor further supports multi-dimensional data synchronous acquisition.
10. 10. The intelligent mining pressure monitoring and early warning device based on the AI algorithm according to claim 1, wherein the stress meter (16) and the MEMS multi-mode sensor data are transmitted to a deployed edge server, and time sequence analysis is performed by using an LSTM model, so that mining pressure risk level is generated and fed back to terminal equipment.

Description

Intelligent mine pressure monitoring and early warning device based on AI algorithm Technical Field The invention belongs to the technical field of mine pressure monitoring, and particularly relates to an intelligent mine pressure monitoring and early warning device based on an AI algorithm. Background In the mining process, mine pressure monitoring is a key link for ensuring safe production. The traditional mine pressure monitoring device relies on manual inspection or a single sensor to collect data, and has the problems of poor real-time performance, early warning lag, insufficient data analysis capability and the like. The existing anchor rod stress gauge can only provide static data generally, cannot dynamically sense the influence of external load change on prestress, and gradually drops to 0 after the prestress is set, so that the anchor rod stress gauge cannot accurately monitor mine pressure data, frequent false alarm is easy to occur or the condition that mine pressure danger is not alarmed when the mine pressure danger is increased is easy to occur, and accordingly the probability of accidents such as roof fall and roadway collapse is increased, and mine safety production is influenced. Disclosure of Invention The invention aims to provide an intelligent mine pressure monitoring and early warning device based on an AI algorithm, so as to solve the problems in the background technology. The intelligent mine pressure monitoring and early warning device comprises a bearing plate and anchor rods, wherein the top of the bearing plate is provided with a notch in a penetrating mode, the anchor rods are arranged on the inner side of the notch, the anchor rods are provided with a plurality of groups, each group of anchor rods are of a hollow structure, the top of the bearing plate is provided with a storage groove, piezoelectric film sensors which are uniformly arranged are detachably arranged in the storage groove, the outer surface of the bearing plate is provided with open grooves which are uniformly arranged, each group of open grooves are communicated with the storage groove, the top of the bearing plate is provided with a circular shape memory alloy honeycomb plate, one end, close to each other, of each two groups of anchor rods is sleeved with a stress gauge, and the outer surface of one group of anchor rods is internally provided with MEMS multi-mode sensors which are uniformly arranged and are used for monitoring the influence of external loads on prestress. In the implementation process, the object placing groove is used for installing the piezoelectric film sensor, the signal wires are led out through the opening groove, the sensor is in matrix distribution, the contact pressure distribution on the surface of the bearing plate can be accurately perceived, the shape memory alloy honeycomb plate adopts a nickel-titanium alloy honeycomb structure, the shape memory alloy honeycomb plate can be self-adapted to the curved surface deformation of a roadway roof, the pressure conduction efficiency is improved through the tight fitting of elastic deformation and surrounding rock, the surrounding rock deformation energy is absorbed through the elastic deformation of the honeycomb cells, the continuous contact of the sensor and the surrounding rock is kept, the situation that the sensor falls off due to the rock stratum is avoided, the stress meter is installed at the abutting joint of adjacent anchor rods, the change of the axial force of the anchor rod is monitored in real time, the cable of the stress meter runs out through the hollow part of the anchor rods, the contact pressure of the roof is monitored in real time, the stress meter measures the axial force of the anchor rod, static stress field data are formed, the MEMS multi-mode sensor captures external loads, such as vibration acceleration caused by mining vibration or rock mass collapse and the like, strain mutation is generated, dynamic response characteristic vectors are distinguished through multi-dimensional data correlation analysis, the mining vibration and rock mass collapse are reduced, and the situation of the accurate stress connection can be reduced, and the occurrence of the external stress is also can be gradually improved. In a specific embodiment, the top of bearing plate is provided with the spacing groove that the equidistance was arranged, and every group spacing groove all link up with the notch mutually, and the spacing groove is located the inboard of putting the thing groove, and the spacing groove is L font structure, and the slot that the equidistance was arranged is seted up to the bottom of bearing plate, and slot and spacing groove link up mutually, and the width of slot is half of spacing groove, and the stopper has all been placed to the inside of every group spacing groove, and the surface mounting that multiunit stopper is close to each other has the lantern ring, and the surface of lantern ring and the internal sur