Mine mining monitoring system and method

Abstract

The invention discloses a mining monitoring system and method, and the system comprises a mine key point video collection module which is used for collecting video information, and the video information comprises video information of a main conveying belt head, a skip bucket discharge port, an ore conveying vehicle entrance and exit, a well entering riding point, a personnel entrance and exit, a dispatching room, an elevator room, a shaft station, and a horsehead-cage cradle; the early warning analysis module is used for carrying out early warning analysis on the collected video information of each category; the business platform is used for receiving the alarm data of the early warning analysis module; and the supervision platform is used for receiving the alarm data of each mining area processed by the business platform. According to the invention, illegal behavior monitoring of stopping mining and overload behavior monitoring of the mining man-transporting equipment can be avoided, if similar behaviors occur, timely processing is carried out, and the mining safety is improved.

Description

Technical Field

[0001] The present invention relates to a mine mining monitoring system and method, belonging to the technical field of mining monitoring. Background Art

[0002] The mining industry is a pillar industry in the development of China's economic market. In order to promote the sustainable development of the mining industry and improve the quality and efficiency of mine mining management at the same time, smart mines have emerged. Specifically speaking, a smart mine combines a variety of advanced technologies such as the Internet of Things, the Internet, big data, cloud computing, and visualization, and integrates advanced management methods and means, which can complete the scientific integration and effective analysis of various mine mining information and data, so as to further optimize the mine mining process and truly enable the mining industry to develop in the direction of informatization.

[0003] Chinese Patent Application (Application No. 202110054552.0) discloses a system including a production management system, a mine monitoring system, a daily management system, a mining optimization system, a safety supervision system, an automatic alarm system, a resource optimization system, and a virtual simulation system; the production management system consists of production equipment management, production personnel management, transportation equipment management, and related equipment management; the mine monitoring system consists of mine shaft monitoring management, passage monitoring management, production line monitoring management, and related equipment management. By designing a production management system, a mine monitoring system, a daily management system, a mining optimization system, a safety supervision system, an automatic alarm system, a resource optimization system, and a virtual simulation system, various affairs in the mine can be monitored and managed comprehensively, so that its working efficiency is greatly improved and it is worthy of being vigorously promoted; this system cannot monitor the illegal act of stopping mining and the overload monitoring of operating equipment, and thus cannot be processed in time and is prone to safety accidents. Summary of the Invention

[0004] The technical problem to be solved by the present invention is to provide a mine mining monitoring system and method that can monitor the underground and above-ground of a mine shaft, monitor the surface displacement of underground mining in a mine, and improve the comprehensive safety of mining.

[0005] The technical solution adopted by the present invention is as follows: A mine mining monitoring system includes:

[0006] A mine key point video acquisition module for acquiring video information, where the video information includes video information of the main transportation belt head, skip discharge port, ore transport vehicle entrance and exit, underground riding point, personnel entrance and exit, dispatching room, hoisting machine room, bottom car park, and head gate - cage rocking table;

[0007] An early warning analysis module for performing early warning analysis on the acquired video information of each category;

[0008] The business platform is used to receive the alarm data from the early warning analysis module;

[0009] The supervision platform is used to receive the alarm data of each mining area processed by the business platform.

[0010] Furthermore, the above-mentioned mine exploitation monitoring system further includes a surface displacement extraction module, which is used to extract multiple surface displacements in the mining coverage area of the mine. After receiving the displacement data from the surface displacement extraction module, the business platform conducts early warning classification analysis to obtain the early warning level.

[0011] Furthermore, the above-mentioned key mine point video acquisition module uses dome cameras, bullet cameras or PTZ cameras for the dispatching room, hoist room, personnel entrance, skip discharge opening, and ore transport vehicle entrance areas above the well, and uses mine explosion-proof cameras for the main haulage belt head, entrance to the well for taking vehicles, and shaft bottom yard areas underground.

[0012] Furthermore, the above-mentioned mine explosion-proof camera is provided with a defogging and dust removal device. The defogging and dust removal device includes air spray holes and water spray holes arranged inside the annular sleeve. The annular sleeve is sleeved on the end of the camera lens of the mine explosion-proof camera. The air spray holes and water spray holes are staggered and arranged around the camera lens of the camera, and the spraying directions face the camera lens surface. The air spray holes and water spray holes are respectively communicated with the gas chamber and the mixed water chamber. The gas chamber and the mixed water chamber are respectively connected to an air pump and a water pump through pipelines. The camera lens of the camera, the gas chamber and the mixed water chamber are arranged inside the annular sleeve. A drain hole is arranged at the bottom of the annular sleeve, and the drain hole is connected to the drain channel through a thin pipe.

[0013] Furthermore, the above-mentioned mine flameproof camera is installed on a pitching swing mechanism, which includes a double-ear slot plate and a swing fixing seat. The upper part of the double-ear slot plate is provided with double ears for hinging the mine flameproof camera. On both sides of the front end of the double-ear slot plate, there are two compression springs. The two ends of the two compression springs are respectively fixedly connected to two convex plates arranged on both sides of the front end of the double-ear slot plate and two spring connecting plates arranged on both sides of the mine flameproof camera. Vertically and spirally connected to the bottom plate at the rear end of the double-ear slot plate is a pitching adjustment screw. The upper end of the pitching adjustment screw is set as a spherical part, and the spherical part abuts against the groove in the rubber block arranged at the bottom of the mine flameproof camera, and the diameter of the spherical part is the same width as the groove. After a section of the lower end of the pitching adjustment screw extends out of the bottom plate of the double-ear slot plate, there is a rotating ring one. In the middle of the outer bottom side of the double-ear slot plate, there is a lower convex platform. The lower convex platform is rotationally connected to the upper port of the groove arranged on the swing fixing seat through a bearing one. At the lower end of the lower convex platform, there is a driven gear. The driving gear meshing with the driven gear is rotationally connected to the swing fixing seat through a bearing two and a rotating drive shaft, and the lower end extends out of the swing fixing seat by a certain distance and is fixedly connected to a rotating ring two. Vertically and spirally connected to the middle of the bottom side of the swing fixing seat is a locking screw. The upper end of the locking screw is a spherical part two, and the spherical part two abuts against the spherical groove arranged at the bottom of the metal plate. A rubber plate is bonded above the metal plate, and the rubber plate is fixedly connected to the lower end face of the driven gear. After a section of the lower end of the locking screw extends out of the swing fixing seat, it is fixedly connected to a rotating ring three.

[0014] Furthermore, for the head of the main haulage belt, the skip discharge port or the entrance and exit of ore transport vehicles, the depression angle of the mine flameproof camera is 40 - 70 degrees; the mine flameproof camera shoots the transport equipment without obstruction and can see the material conveying situation; the camera picture is horizontal, the belt is in the vertical center position of the whole picture and is symmetrical on both the left and right sides of the belt; the camera resolution reaches at least 1280*720; the picture of the ore transport vehicle at the entrance and exit taken by the mine flameproof camera should ensure the integrity of the image information of the ore transport vehicle, and ensure that the image ratio of the ore transport vehicle is within the range of [1 / 128, 1 / 32];

[0015] For the entrance and exit of the mine vehicle boarding point, the mine flameproof camera identifies the number of mine vehicles entering and exiting and the number of people entering and exiting; the mine flameproof camera is suspended on the roof near the boarding point of the man-riding shuttle car, and the orientation of the mine flameproof camera is consistent with the traveling direction of the man-riding shuttle car; the mine flameproof camera needs to shoot a picture along the traveling direction of the man-riding shuttle car for at least 8m, and avoid obstacles other than the man-riding shuttle car and its track from blocking the camera's field of view; the set depression angle of the mine flameproof camera ensures that the lens completely covers the full body image of the personnel about to depart by man-riding shuttle car; the camera resolution reaches at least 1280*720;

[0016] For the personnel entrance and exit, the mine flameproof camera identifies the number of people entering and leaving the mine. There is no obstruction between the camera and the passage entrance and exit, and it should cover the entire wellhead area to see the situation of people entering and leaving the wellhead. The downward angle of the mine flameproof camera is 40 - 70 degrees to ensure that the front and back heads and shoulders of people are unobstructed and the head and shoulder features are complete while the camera is located diagonally above the upper side of the passage entrance and exit. When a person stands 1 meter in front of or behind the edge of the entrance and exit, the camera can still fully see the person's head and shoulders. The resolution of the mine flameproof camera should reach at least 1280 * 720.

[0017] For the dispatching room, the mine flameproof camera identifies whether there are empty positions in the dispatching room and whether the personnel in the dispatching room are sleeping on the job. There is no obstruction between the camera and the workstations in the dispatching room, and it covers the entire dispatching room area to see the situation of the duty personnel. The resolution of the mine flameproof camera should reach at least 1280 * 720. The mine flameproof camera is equipped with a voice call module.

[0018] For the hoist room, the mine flameproof camera identifies the operating status of the hoist. There is no obstruction between the camera and the hoist, and it covers the rotation of the rollers in the entire hoist area to see the operating situation of the hoist. The resolution of the camera should reach at least 1280 * 720.

[0019] For the bottom of the shaft yard, the mine flameproof camera identifies the entry of personnel into the bottom of the shaft yard. There is no obstruction between the camera and the bottom of the shaft yard, and it covers the entire bottom of the shaft yard area to see the situation of people passing by. The resolution of the camera should reach at least 1280 * 720.

[0020] For the head gate - cage rocking platform, the mine flameproof camera identifies whether the cage rocking platform is in place. There is no obstruction between the camera and the cage rocking platform, and it covers the entire cage rocking platform area to see the situation of the duty personnel. The resolution of the camera should reach at least 1280 * 720.

[0021] Furthermore, the above warning analysis module uses an AI intelligent analysis box to select and train models for different categories of video information, obtaining corresponding video information detection models; for the head of the main haulage belt and the skip discharge opening, the AI intelligent analysis box uses a video classification model for training to obtain a model, namely the video classification model for the head of the main haulage belt / skip discharge opening point. By directly uploading the corresponding video clips of the head of the main haulage belt / skip discharge opening point to the classification folder, and uploading the corresponding video clips according to the four classifications designed in the early stage of the AI intelligent analysis box: stationary without ore, belt stationary, moving without ore, and moving with ore. After uploading, directly input them into the video classification model for training to obtain the trained video classification model for the head of the main haulage belt / skip discharge opening point; for the entrance and exit of ore transport vehicles, the AI intelligent analysis box uses a hybrid model for training to obtain a hybrid judgment model for the entrance and exit of ore transport vehicles, that is, calibrate the trucks in the picture. When calibrating, calibrate along the entire edge contour of the truck, and classify the truck as an empty truck or a loaded truck according to whether the truck is loaded. By inputting the calibrated truck video clips into the hybrid model for training, obtain the hybrid judgment model for the entrance and exit of ore transport vehicles; for the boarding point into the mine, the AI intelligent analysis box uses a detection model for training to obtain a detection model for the boarding point into the mine, that is, design two labels, namely label one for head and shoulders and label two for mine cars. When calibrating the personnel entering the mine, calibrate all the personnel appearing in the picture. When calibrating the personnel, calibrate along the head and shoulder part of the personnel, that is, the area from the top of the head to the shoulders is used as the calibration target object. When calibrating the mine cars entering the mine, calibrate all the mine cars appearing in the picture. When calibrating the mine cars, calibrate along the edge contour of each mine car. By inputting the two labels into the detection model for training, obtain the detection model for the boarding point into the mine; for the personnel entrance and exit, the AI intelligent analysis box uses a detection model for training to obtain a personnel entrance and exit detection model, that is, design the label as head and shoulders. When calibrating the personnel entering the mine, calibrate all the personnel appearing in the picture. When calibrating the personnel, calibrate along the head and shoulder part of the personnel, that is, the area from the top of the head to the shoulders is used as the calibration target object. By inputting the video clips of the personnel entrance and exit with labels to train the detection model, obtain the personnel entrance and exit detection model; for the detection of the dispatching room, the AI intelligent analysis box uses two detection models for training to obtain a personnel off-duty detection model and a personnel sleeping-on-duty detection model, that is, the internal requirements of the dispatching room include two models (two detection models) for personnel off-duty and sleeping-on-duty. Among them, for the personnel sleeping-on-duty detection model, design the label as sleeping-on-duty. When calibrating, select the state of the personnel lying on the table and sleeping as sleeping-on-duty, and calibrate along the upper body area of the personnel. Input the calibrated sleeping-on-duty video clips into the detection model for training to obtain the personnel sleeping-on-duty detection model;The personnel off - post detection model has a design label of head - and - shoulders. During calibration, all personnel appearing in the picture in the duty room are calibrated. When calibrating personnel, it is carried out along the head - and - shoulders part of the personnel, that is, the area from the top of the head to the shoulders is used as the calibrated target object. The calibrated target object is input into the detection model for training to obtain the personnel off - post detection model; for the hoisting machine room, after the AI intelligent analysis box is trained using the video classification model, a video classification model for the belt movement state in the hoisting machine room is obtained. That is, the corresponding video clips of the belt movement state are directly uploaded to the classification folder, and the corresponding video clips are uploaded according to the two pre - designed classifications: belt stationary and belt moving. After uploading, it is directly input into the video classification model for training to obtain the video classification model for the belt movement state in the hoisting machine room; for the bottom shaft yard, after the AI intelligent analysis box is trained using the detection model, a detection model for personnel entering the bottom shaft yard is obtained. That is, the design label is head - and - shoulders. When calibrating personnel, all personnel appearing in the picture are calibrated. When calibrating personnel, it is carried out along the head - and - shoulders part of the personnel, that is, the area from the top of the head to the shoulders is used as the calibrated target object. The calibrated target object is input into the detection model for training to obtain the detection model for personnel entering the bottom shaft yard; for the head gate - cage rocking platform, after the AI intelligent analysis box is trained using the hybrid model, a hybrid judgment model for the in - place situation of the cage rocking platform is obtained. That is, the detection label is the cage rocking platform, and corresponding classification is carried out according to whether the cage rocking platform is in place. During calibration, it is carried out along the edge contour of the key parts of the cage rocking platform. The video clips of the calibrated cage rocking platform are input into the hybrid model for training to obtain the hybrid judgment model for the in - place situation of the cage rocking platform.

[0022] Further, the ground displacement extracted by the above - mentioned ground displacement extraction module is the relative movement distance of multiple monitoring points arranged in the field and mine exploitation area relative to the reference monitoring point. The specific information of this ground displacement includes:

[0023] Horizontal resultant displacement: The relative displacement of the monitoring station relative to the reference station in the three - dimensional coordinates;

[0024] X - displacement: The displacement of the monitoring station relative to the reference station in the east - west direction of the X - axis in the three - dimensional coordinates;

[0025] Y - displacement: The displacement of the monitoring station relative to the reference station in the north - south direction of the Y - axis in the three - dimensional coordinates;

[0026] Z - displacement: The displacement of the monitoring station relative to the reference station in the up - down direction of the Z - axis in the three - dimensional coordinates;

[0027] Azimuth angle: Starting from the north end of the standard direction, the horizontal angle in the clockwise direction to the straight line is called the azimuth angle of the straight line.

[0028] Further, an interaction module is set in the above business platform. A curve display module and an early warning module are set in the interaction module. The curve display module includes curves of the X displacement, Y displacement, Z displacement, horizontal resultant displacement, and azimuth angle of each monitoring point. The early warning module is divided into four early warning levels according to the early warning threshold, and the four early warnings are correspondingly displayed in four colors: red, orange, yellow, and blue.

[0029] The monitoring station uses a deformation monitoring GNSS receiving integrated machine to monitor displacement. The deformation monitoring GNSS receiving integrated machine is installed on the top of the column. The lower end of the column is connected to the pile foundation through a rotating part. The deformation monitoring GNSS receiving integrated machine is connected to the control box. The charging module of the control box is connected with a photovoltaic panel. The photovoltaic panel is hinged near the lower side at the end of the cantilever frame. The cantilever frame is fixedly connected to the column through a hoop one. The upper end of the photovoltaic panel is symmetrically connected to the crossbeam fixed on the column through two tension springs. Between the two tension springs, a pressure rod abuts against the back of the photovoltaic panel. The back of the photovoltaic panel is provided with strip-shaped directional grooves along its inclined direction. The end of the pressure rod is provided with a curved arch part, and the curved arch part is movably clamped into the strip-shaped directional grooves. The pressure rod is hinged near the middle on the cantilever frame. The lower end of the pressure rod is hinged to one end of a short connecting rod. The other end of the short connecting rod is hinged to one end of a driving rod. The other end of the driving rod is hinged to one end of a push rod. One end of an auxiliary connecting rod is hinged near the middle of the driving rod, and the other end of the auxiliary connecting rod is hinged to the hinged part of the pressure rod and the cantilever frame. The other end of the push rod is provided with a push column, and the push column extends into an inclined guide cylinder. The lower end of the guide cylinder is spirally connected with a push screw. The inner end of the push screw abuts against a spherical bead. The outer end of the push screw is provided with an operating handle. The operating handle is provided with a perforation for passing through a rotating rod. The diameter of the spherical bead is slightly smaller than that of the guide cylinder. The spherical bead abuts against the push column. The upper end of the guide cylinder is provided with an anti-detachment nut. The inner hole of the anti-detachment nut is smaller than the diameter of the push column, which can play a better anti-detachment role. The guide cylinder is fixedly connected to the cantilever support frame, and the cantilever support frame is fixedly connected to the column through a hoop two.

[0030] A monitoring method for a mine exploitation monitoring system includes a monitoring method for the aboveground and underground of the mine and a surface displacement monitoring method. The monitoring method for the aboveground and underground of the mine obtains the collected data through the corresponding model based on the monitored corresponding photos, and then the belt running situation, the discharging situation of the discharging hopper, the loading and transporting situation of the ore transport vehicle, the personnel and vehicle situation at the entrance of the mine, the entering and leaving personnel situation at the personnel entrance, the situation of personnel leaving their posts and dozing off in the dispatching room, the running situation of the drum in the hoist room, the situation of personnel entering the bottom shaft yard, and the situation of the cage platform in place; the surface displacement monitoring method collects multiple surface displacements in the covered area of the mine exploitation. When the surface displacement reaches the set early warning threshold, it is correspondingly assigned to the corresponding threshold early warning module for early warning, and the early warning situation is uploaded level by level.

[0031] The beneficial effects of the present invention are as follows:

[0032] (1) The present invention uses a video acquisition module for key points in a mine, focusing on collecting video information of the head of the main conveyor belt, the skip discharge port, the entrance and exit of ore transport vehicles, the boarding point for entering the mine, the entrance and exit of personnel, the dispatching room, the hoist room, the bottom of the shaft yard, and the head gate - cage rocking table. Furthermore, it monitors the belt operation conditions, discharge conditions, vehicle loading and unloading conditions, the personnel and vehicle conditions at the boarding point for entering the mine, the entry and exit personnel conditions at the entrance and exit of personnel, the personnel leaving the post and dozing off conditions in the dispatching room, the drum operation conditions in the hoist room, the entry of personnel in the bottom of the shaft yard, and the in - place conditions of the cage rocking table, to avoid monitoring illegal acts of stopping mining and overloading behavior monitoring of mining and personnel transportation equipment. If such behaviors occur, they will be dealt with in a timely manner to improve mining safety;

[0033] (2) The present invention monitors the surface displacement, collects the surface displacements at different positions in the mining area of the mining area, analyzes and warns the displacement data, and then anticipates in advance the occurrence of geological disasters caused by mining, reducing the influence range of geological disasters and improving the safety of mining;

[0034] (3) The spray holes and water spray holes arranged alternately by the fog and dust removal device can effectively and quickly remove the fog and dust generated by the underground camera. Using an annular sleeve structure, the installation is convenient and fast. The inclined high - pressure jet and water spray can effectively remove the dust and dirt on the mirror surface. Using a gas chamber and a mixed water chamber, it can quickly and simultaneously spray water or jet air through multiple holes. A drain hole is provided at the bottom to timely drain the generated water, reducing the dripping onto the ground or the equipment and affecting the operation of the equipment;

[0035] (4) Using a pitching and swinging mechanism, it is convenient to quickly adjust the orientation of the camera to meet the adjustment requirements. Specifically, symmetric compression springs and a pitching adjustment screw for pushing are used, which can quickly adjust the pitching angle of the camera. Moreover, the symmetric compression springs, on the one hand, can effectively play a role in balanced force, and on the other hand, in cooperation with rubber blocks, can play a better role in shock absorption and anti - vibration, avoiding the problem of unclear imaging caused by the vibration of transportation equipment and improving the stability of video acquisition and video quality; The spherical part with a diameter equal to the width of the groove can play a certain guiding role to avoid the offset of the force at the hinge due to offset; Using a gear to rotate and drive the left - right swinging camera has high precision, can quickly achieve adjustment, and after adjustment, a locking screw is used for locking to improve the stability of the camera;

[0036] (5) For video acquisition at different positions, different acquisition condition requirements are adopted, which can meet the requirements of the quality of the acquired video and improve the monitoring accuracy;

[0037] (6) Using an AI intelligent analysis box to train models such as video classification models, detection models, and hybrid models can greatly improve the modeling efficiency and the accuracy of the models, and then improve the accuracy of monitoring and prediction;

[0038] (7) The surface displacement extraction module is used to specifically extract the X displacement, Y displacement, Z displacement, horizontal resultant displacement, and azimuth angle, which can realize the monitoring of displacements in different directions and the comprehensive displacement, and further realize the comprehensive pre-judgment, avoiding the problem of large warning errors caused by single-factor evaluation.

[0039] (8) When the angle of the photovoltaic panel needs to be adjusted, the push screw is rotated by operation, and then the push rod is pushed outwards or retracted under the action of the tension spring. The push rod presses or releases the back of the photovoltaic panel through the press rod, short connecting rod, auxiliary connecting rod, and drive rod groove connecting rod mechanism. This method can quickly realize the rapid adjustment of the pitching angle of the photovoltaic panel, and the height of the column is relatively low, so that the operator can stand on the ground and operate the push screw, which is convenient and easy to operate. Description of the Drawings

[0040] Figure 1 is a schematic diagram of the principle of the mine exploitation monitoring system;

[0041] Figure 2 is a schematic diagram of the installation structure of the camera;

[0042] Figure 3 is Figure 2 the enlarged structure schematic diagram of part A in

[0043] Figure 4 is a schematic diagram of the installation structure of the deformation monitoring GNSS receiving integrated machine;

[0044] Figure 5 is a schematic diagram of the structure at the low end of the column installation. Detailed Embodiments

[0045] The present invention will be further introduced below in conjunction with the drawings and specific embodiments.

[0046] Embodiment 1: As Figures 1-5 , a mine exploitation monitoring system includes:

[0047] A mine key point video acquisition module for acquiring video information, where the video information includes the video information of the main transportation belt head, skip discharge port, ore transport vehicle entrance and exit, underground riding point, personnel entrance and exit, dispatching room, hoisting machine room, bottom shaft yard, and head gate - cage rocking table;

[0048] An early warning analysis module for performing early warning analysis on the acquired video information of each category;

[0049] A service platform for receiving the alarm data of the early warning analysis module;

[0050] A supervision platform for receiving the alarm data of each mining area processed by the service platform.

[0051] To achieve the safety of mine exploitation, a mine exploitation monitoring system further includes a surface displacement extraction module for extracting multiple surface displacements in the covered area of mine exploitation. After receiving the displacement data from the surface displacement extraction module, the business platform conducts early warning classification analysis to obtain the early warning level, analyzes using the surface displacement to obtain different early warning levels, and then makes timely reminder predictions to improve the exploitation safety.

[0052] Build an AI video intelligent auxiliary supervision and monitoring system, install high-definition cameras and image intelligent analysis equipment at key points on the ground and underground in coal mines and key non-coal mines, monitor the production status and safety status of coal mines and key non-coal mines in real time, analyze and judge whether there are illegal production operation behaviors such as overt shutdown and covert operation, overstaffing, etc. in coal mines and key non-coal mines, improve the operation safety, and monitor geological disasters (such as surface displacement) after mine exploitation, so as to facilitate early warning and reminder.

[0053] To improve safety and reduce costs, the mine key point video acquisition module uses dome cameras, bullet cameras or PTZ cameras for the dispatching room, hoist room, personnel entrance, skip discharge opening, ore transport vehicle entrance areas above the well, and uses mine explosion-proof cameras for the main haulage belt head, underground boarding point, and shaft bottom area underground.

[0054] To improve the quality of the acquired video, the mine explosion-proof camera is provided with a defogging and dust-removing device. The defogging and dust-removing device includes air spray holes 101 and water spray holes 102 arranged inside the annular sleeve 10. The annular sleeve 10 is sleeved on the end of the camera lens of the mine explosion-proof camera 103. The air spray holes 101 and water spray holes 102 are staggered and arranged around the camera lens of the camera 103 with the spraying directions facing the camera lens surface. The air spray holes 101 and water spray holes 102 are respectively communicated with the gas chamber 104 and the mixed water chamber 105. The gas chamber 104 and the mixed water chamber 105 are respectively connected to an air pump 106 and a water pump 107 through pipelines. The camera lens of the camera 103, the gas chamber 104 and the mixed water chamber 105 are arranged inside the annular sleeve 10. The bottom of the annular sleeve 10 is provided with a drain hole 108, and the drain hole 108 is connected to the drainage channel through a thin pipe; by using the staggered air spray holes and water spray holes of the defogging and dust-removing device, the fog and dust generated by the underground camera can be effectively removed quickly. By adopting the annular sleeve structure, the installation is convenient and fast. The inclined high-pressure air spraying and water spraying can effectively remove the dust and dirt on the mirror surface. By using the gas chamber and the mixed water chamber, multiple holes can be quickly and simultaneously sprayed with water or air. The drain hole is arranged at the bottom, which can timely drain the generated water, reduce the dripping onto the ground or the equipment and affect the operation of the equipment.

[0055] In order to achieve rapid adjustment of the orientation of the mine flameproof camera, the mine flameproof camera 103 is installed on the pitching swing mechanism 20. The pitching swing mechanism 20 includes a double-ear slot plate 2001 and a swing fixed seat 2002. The upper part of the double-ear slot plate 2001 is provided with double-ear parts 2003 for hinging the mine flameproof camera 103. On both sides of the front end of the double-ear slot plate 2001, there are two compression springs 2004. The two ends of the two compression springs 2004 are respectively fixedly connected to two convex plates 2005 arranged on both sides of the front end of the double-ear slot plate 2001 and two spring connecting plates 2006 arranged on both sides of the mine flameproof camera 103. Vertically and spirally connected to the bottom plate at the rear end of the double-ear slot plate 2001 is a pitching adjustment screw 2007. The upper end of the pitching adjustment screw 2007 is set as a spherical part, and the spherical part abuts against the groove of a rubber block 2008 arranged at the bottom of the mine flameproof camera 103 and the diameter of the spherical part is the same as the width of the groove. After a section of the lower end of the pitching adjustment screw 2007 extends out of the bottom plate of the double-ear slot plate 2001, there is a rotating ring one 2009 arranged. In the middle of the outer bottom side of the double-ear slot plate 2001, there is a lower convex platform 2010. The lower convex platform 2010 is rotationally connected to the upper port of a groove 2012 arranged on the swing fixed seat 2002 through a bearing one 2011. At the lower end of the lower convex platform 2010, there is a driven gear 2013. A driving gear 2014 meshing with the driven gear 2013 is rotationally connected to the swing fixed seat 2002 through a bearing two 2022 and a driving shaft 2015, and the lower end extends a certain distance out of the swing fixed seat 2002 and is fixedly connected to a rotating ring two 2016. Vertically and spirally connected to the middle of the bottom side of the swing fixed seat 2002 is a locking screw 2017. The upper end of the locking screw 2017 is a spherical part two, and the spherical part two abuts against the spherical groove 2019 arranged at the bottom of a metal plate 2018. Above the metal plate 2018, there is a rubber plate 2020 adhesively connected, and the rubber plate 2020 is fixedly connected to the lower end face of the driven gear 2013. The lower end of the locking screw 2017 extends a certain distance out of the swing fixed seat 2002 and is fixedly connected to a rotating ring three 2021; during operation, each rotating ring is connected by hanging and rotating with an operating rod with a hook at the top. By adopting the pitching swing mechanism, it is convenient to quickly adjust the orientation of the camera, meeting the adjustment requirements. Specifically, symmetric compression springs and a top-pushing pitching adjustment screw are adopted, which can quickly adjust the pitching angle of the camera. Moreover, the symmetric compression springs can, on the one hand, effectively play a role in balanced force, and on the other hand, cooperate with the rubber block to play a better role in shock absorption and anti-shake, avoiding the problem of unclear imaging caused by the vibration of transportation equipment and improving the stability of video acquisition and video quality; the spherical part with a diameter the same as the width of the groove can play a certain guiding role, avoiding force offset at the hinge due to offset; the camera is driven to swing left and right by gear rotation, with high precision, and can be quickly adjusted. After adjustment, the locking screw is used for locking to improve the stability of the camera.

[0056] In order to improve the quality of surveillance video, different locations have different requirements, as follows:

[0057] For the main conveyor belt head, bucket unloading port or mining vehicle entrance and exit, the mining explosion-proof camera has a depression angle of 40-70 degrees; the mining explosion-proof camera can shoot the transportation equipment without obstruction and can see the material transmission situation; the camera screen is horizontal, the belt is in the vertical center of the whole screen and the left and right sides of the belt are symmetrical; the camera resolution is at least 1280*720; the mining vehicle entrance and exit pictures shot by the mining explosion-proof camera must ensure the complete image information of the mining vehicle, and ensure that the image proportion of the mining vehicle is within the range of [1 / 128, 1 / 32];

[0058] For the boarding point, the mine explosion-proof camera identifies the number of vehicles and people entering and leaving the mine; the mine explosion-proof camera is hung on the top plate near the monkey car boarding point, and the direction of the mine explosion-proof camera is consistent with the direction of the monkey car; the mine explosion-proof camera needs to shoot at least 8m along the direction of the monkey car, and avoid obstacles other than the monkey car and its track blocking the camera's field of view; the mine explosion-proof camera is set with a set depression angle to ensure that the lens fully covers the full-body image of the person who is about to board the monkey car; the camera resolution is at least 1280*720;

[0059] For personnel entrances and exits, the mine explosion-proof camera identifies the number of people entering and exiting the well. The mine explosion-proof camera shoots the passageway entrances and exits without obstruction, and covers the entire wellhead area, so that people can see the wellhead and exits. The mine explosion-proof camera has a depression angle of 40-70 degrees, ensuring that the mine explosion-proof camera covers the heads and shoulders of people in front and behind without obstruction, and the head and shoulder features are complete. The mine explosion-proof camera is located above the oblique side of the passageway entrance and exit. When a person stands 1 meter in front of or behind the edge of the entrance and exit, the mine explosion-proof camera screen can still fully see the head and shoulders of the person. The resolution of the mine explosion-proof camera is at least 1280*720.

[0060] For the dispatching room, the mine flameproof camera can identify vacant posts and sleeping staff in the dispatching room; there is no obstruction between the mine flameproof camera and the dispatching room workstation, covering the entire dispatching room area, and the status of the on-duty staff can be seen; the resolution of the mine flameproof camera is at least 1280*720; the mine flameproof camera is equipped with a voice call module;

[0061] For the hoist room, the mine flameproof camera identifies the operating status of the hoist. There is no obstruction between the mine flameproof camera and the hoist, and the roller rotation covering the entire hoist area can see the operation status of the hoist; the camera resolution is at least 1280*720;

[0062] For the shaft bottom yard, the mine flameproof camera identifies the entry of personnel into the shaft bottom yard. There is no obstruction between the mine flameproof camera and the shaft bottom yard, covering the entire shaft bottom yard area, and being able to see the passing of personnel; the camera resolution reaches at least 1280*720;

[0063] For the head gate - cage stage, the mine flameproof camera identifies whether the cage stage is in place. There is no obstruction between the mine flameproof camera and the cage stage, covering the entire cage stage area, and being able to see the situation of the duty personnel; the camera resolution reaches at least 1280*720.

[0064] Table 1 Monitoring methods for each monitoring point

[0065]

[0066]

[0067] The AI intelligent analysis box performs real - time analysis on 32 video streams, supports access to 128 cameras, and has 8 built - in GPUs (physical engines).

[0068] The business platform adopts the 1.4.6 Safety Production Risk Prevention and Control System all - in - one machine, and its hardware specifications are as follows:

[0069] 1. CPU: Configure 1 Intel Xeon 4210R processor, with the number of cores ≥ 10 cores and the main frequency ≥ 2.4GHz

[0070] 2. Memory: Configure 64G DDR4, with 16 memory slots, and the maximum support for expansion is up to 2TB of memory

[0071] 3. Hard disk: Configure 2 1.2T 10K 2.5 - inch SAS hard disks;

[0072] 4. Array card: Configure SAS + HBA card, supporting RAID 0 / 1 / 10;

[0073] 5. PCIE expansion: Support 6 PCIE expansion slots

[0074] 6. Network interface: On - board 2 gigabit electrical interfaces; support optional configuration of multiple network interfaces such as 10GbE and 25GbE SFP+;

[0075] Software capabilities:

[0076] 1. Have the functions of monitoring and alarm, alarm handling, realizing the reception of alarm information from intelligent terminals, realizing the query and presentation functions of alarm records, and being able to customize alarm rules.

[0077] 2. Can be connected to the existing video management platform and devices, and can realize functions such as video playback, retrieval, and split - screen.

[0078] 3. It can register and manage intelligent terminals, view the system operation status, and configure video point information.

[0079] 4. Provide data upload services to ensure that the data upload specifications meet the requirements of the government platform, including the upload of analysis results such as basic information, personnel entering the mine, operation status of transportation equipment, freight vehicles leaving the mine, camera occlusion, moving angle, empty posts in the dispatching room, etc., as well as the upload of data such as camera online and offline.

[0080] Among them, the early warning analysis module uses an AI intelligent analysis box to select and train models for different categories of video information, obtaining corresponding video information detection models; for the head of the main haulage belt and the skip discharge opening, the AI intelligent analysis box uses a video classification model for training to obtain a model, that is, the video classification model for the head of the main haulage belt / skip discharge opening point. By directly uploading the corresponding video clips of the head of the main haulage belt / skip discharge opening point to the classification folder, and uploading the corresponding video clips according to the four classifications designed in the early stage in the AI intelligent analysis box: static without ore, belt static, moving without ore, and moving with ore. After uploading, directly input them into the video classification model for training, and obtain the trained video classification model for the head of the main haulage belt / skip discharge opening point; for the entrance and exit of ore transport vehicles, the AI intelligent analysis box uses a hybrid model for training to obtain a hybrid judgment model for the entrance and exit of ore transport vehicles, that is, calibrate the trucks in the picture. When calibrating, calibrate along the edge contour of the entire truck, and classify the trucks as empty trucks and loaded trucks according to whether they are loaded. By inputting the calibrated truck video clips into the hybrid model for training, obtain the hybrid judgment model for the entrance and exit of ore transport vehicles; for the boarding point into the mine, the AI intelligent analysis box uses a detection model for training to obtain a detection model for the boarding point into the mine, that is, design two labels, label one is head and shoulders and label two is mine car. When calibrating the personnel entering the mine, calibrate all the personnel appearing in the picture. When calibrating the personnel, calibrate along the head and shoulders part of the personnel, that is, the area from the top of the head to the shoulders is used as the calibration target object. When calibrating the mine cars entering the mine, calibrate all the mine cars appearing in the picture. When calibrating the mine cars, calibrate along the edge contour of each mine car. By inputting the two labels into the detection model for training, obtain the detection model for the boarding point into the mine; for the personnel entrance and exit, the AI intelligent analysis box uses a detection model for training to obtain a personnel entrance and exit detection model, that is, design the label as head and shoulders. When calibrating the personnel entering the mine, calibrate all the personnel appearing in the picture. When calibrating the personnel, calibrate along the head and shoulders part of the personnel, that is, the area from the top of the head to the shoulders is used as the calibration target object. By inputting the video clips of the personnel entrance and exit with labels to train the detection model, obtain the personnel entrance and exit detection model; for the dispatching room detection, the AI intelligent analysis box uses two detection models for training to obtain a personnel off-duty detection model and a personnel sleeping-on-duty detection model, that is, the internal requirements of the dispatching room include two models (two detection models) of personnel off-duty and sleeping-on-duty. Among them, for the personnel sleeping-on-duty detection model, design the label as sleeping-on-duty. When calibrating, select the state of personnel lying on the table and sleeping as sleeping-on-duty, and calibrate along the upper body area of the personnel. Input the calibrated video clips of sleeping-on-duty into the detection model for training to obtain the personnel sleeping-on-duty detection model;The personnel off-duty detection model has a design label of head and shoulders. During calibration, all personnel appearing in the picture in the duty room are calibrated. When calibrating personnel, calibration is carried out along the head and shoulders of the personnel, that is, the area from the top of the head to the shoulders is used as the calibration target object. The calibrated target object is input into the detection model for training to obtain the personnel off-duty detection model; for the hoisting machine room, after the AI intelligent analysis box is trained using the video classification model, the hoisting machine room belt movement state video classification model is obtained, that is, the corresponding video clips of the belt movement state are directly uploaded to the classification folder, and the corresponding video clips are uploaded according to the two pre-designed classifications of belt stationary and belt moving. After uploading, it is directly input into the video classification model for training to obtain the hoisting machine room belt movement state video classification model; for the shaft bottom yard, after the AI intelligent analysis box is trained using the detection model, the shaft bottom yard personnel entry detection model is obtained, that is, the design label is head and shoulders. When calibrating personnel, all personnel appearing in the picture are calibrated. When calibrating personnel, calibration is carried out along the head and shoulders of the personnel, that is, the area from the top of the head to the shoulders is used as the calibration target object. The calibrated target object is input into the detection model for training to obtain the shaft bottom yard personnel entry detection model; for the head gate - cage rocking platform, after the AI intelligent analysis box is trained using the hybrid model, the hybrid judgment model for the cage rocking platform in-place situation is obtained, that is, the detection label is the cage rocking platform, and corresponding classification is carried out according to whether the cage rocking platform is in place. During calibration, calibration is carried out along the edge contour of the key parts of the cage rocking platform. The video clips of the calibrated cage rocking platform are input into the hybrid model for training to obtain the hybrid judgment model for the cage rocking platform in-place situation; for video acquisition at different positions, different acquisition condition requirements are adopted, which can meet the requirements of the acquired video quality and improve the monitoring accuracy. Using the AI intelligent analysis box for training models such as the video classification model, detection model, and hybrid model can greatly improve the modeling efficiency and the accuracy of the model, and thus improve the accuracy of monitoring and prediction.;

[0081] The ground displacement extracted by the ground displacement extraction module is the relative movement distance of multiple monitoring points arranged in the field and mine exploitation area relative to the reference monitoring point. The specific information of this ground displacement includes:

[0082] Horizontal resultant displacement: The relative displacement of the monitoring station relative to the reference station in the three-dimensional coordinates;

[0083] X displacement: The displacement of the monitoring station relative to the reference station in the east-west direction of the X-axis in the three-dimensional coordinates;

[0084] Y displacement: The displacement of the monitoring station relative to the reference station in the north-south direction of the Y-axis in the three-dimensional coordinates;

[0085] Z displacement: The displacement of the monitoring station relative to the reference station in the up-down direction of the Z-axis in the three-dimensional coordinates;

[0086] Azimuth angle: Starting from the north end of the standard direction, the horizontal angle in the clockwise direction to the straight line is called the azimuth angle of the straight line.

[0087] The displacement monitoring of the monitoring station is carried out by using the deformation monitoring GNSS receiving integrated machine 301. The general-purpose deformation monitoring GNSS receiving integrated machine (general-purpose type) uses GR2 of Qianxun Location Network (Zhejiang) Co., Ltd. GR2 is a Beidou / GNSS monitoring receiver independently developed by Qianxun Location, which is suitable for safety monitoring application scenarios such as geological disasters, reservoirs, mines, and slopes. The device adopts advanced technologies such as satellite tracking, anti-interference, multipath suppression, and MEMS sensors, and is designed based on the concepts of high integration, low power consumption, intelligence, easy deployment, and easy operation and maintenance, with better environmental adaptability and data stability. The device is equipped with Qianxun Location's spatio-temporal intelligent algorithm and can be connected to the Beidou ground-based augmentation system in real time, and can perceive the three-dimensional deformation information of the monitoring object all-weather, automatically, and with high precision. The general-purpose deformation monitoring GNSS receiving integrated machine has the following functions:

[0088] 1. Automatic online remote configuration

[0089] The receiver has the function of automatically connecting to the Qianxun cloud service when powered on and supports remote configuration. Just provide power on-site, which greatly reduces the on-site work intensity, ensures construction safety, and modifies the upload frequency, remotely upgrades the firmware, obtains the power supply status, and sets the terminal device status when necessary.

[0090] 2. Support for sleep mode

[0091] The receiver should have a timing sleep function; during sleep, GNSS, communication, etc. are turned off to save energy and extend the battery life. The receiver has a MEMS trigger wake-up function in the sleep mode.

[0092] 3. Cloud-integrated status monitoring

[0093] It powers on and starts automatically, connects to the platform automatically, without any on-site configuration work, has the capabilities of remote control, batch upgrade, and online operation and maintenance, regularly reports information such as the device operation status, solar power supply status, and signal strength, and the platform monitors the overall operation status of the monitoring points in real time to improve the operation and maintenance efficiency.

[0094] 4. Multi-source data fusion

[0095] It is built with MEMS acceleration and inclination sensors, which fuse the perception data of GNSS and sensors to realize intelligent switching among normal, emergency, and energy-saving modes, meeting the monitoring requirements under different working conditions. In addition, it also has RS232, RS485, and digital input / output interfaces, and can be externally connected to other sensors such as rain gauges.

[0096] Such as Figures 4-5As shown, the deformation monitoring GNSS receiving integrated machine 301 is installed on the top of the column 302. The lower end of the column 302 is connected to the pile foundation 304 through the rotating part 303. The deformation monitoring GNSS receiving integrated machine 301 is connected to the control box. The charging module of the control box is connected with a photovoltaic panel 305. The photovoltaic panel 305 is hinged near the lower side at the end of the cantilever frame 306. The cantilever frame 306 is fixedly connected to the column 302 through the first hoop 318. The upper end of the photovoltaic panel 305 is symmetrically connected to the cross beam 308 fixed on the column 302 through two tension springs 307. Between the two tension springs 307, the back of the photovoltaic panel 305 abuts against a pressure rod 309. The back of the photovoltaic panel 305 is provided with strip-shaped directional grooves along its inclined direction. The end of the pressure rod 309 is provided with a curved arch part 310. The curved arch part 310 is movably clamped into the strip-shaped directional grooves. The pressure rod 309 is hinged near the middle on the cantilever frame 306. The lower end of the pressure rod 309 is hinged to a short connecting rod 311. The other end of the short connecting rod 311 is hinged to one end of a driving rod 312. The other end of the driving rod 312 is hinged to one end of a push rod 313. One end of an auxiliary connecting rod 314 is hinged near the middle of the driving rod 312. The other end of the auxiliary connecting rod 314 is hinged to the hinged part of the pressure rod 309 and the cantilever frame 306. The other end of the push rod 313 is provided with a push column 315. The push column 315 extends into the inclined guide cylinder 316. The lower end of the guide cylinder 316 is screwed with a pushing screw rod 320. The inner end of the pushing screw rod 320 abuts against a spherical bead 321. The outer end of the pushing screw rod 320 is provided with an operating handle 323. The operating handle 323 is provided with a perforation 324 passing through a rotating rod. The diameter of the spherical bead 321 is slightly smaller than that of the guide cylinder 316. The spherical bead 321 abuts against the push column 315. The upper end of the guide cylinder 316 is provided with an anti-detachment nut 322. The inner hole of the anti-detachment nut 322 is smaller than the diameter of the push column 315, which can play a better anti-detachment role. The guide cylinder 316 is fixedly connected to the cantilever support frame 317. The cantilever support frame 317 is fixedly connected to the column 302 through the second hoop 319. When the angle needs to be adjusted, by operating the pushing screw rod to rotate, the push rod is pushed outwards or retracted under the action of the tension spring, and the pressure rod is pressed against the back of the photovoltaic panel or the contact with the back of the photovoltaic panel is released through the pressure rod, short connecting rod, auxiliary connecting rod and driving rod type groove connecting rod mechanism. This method can quickly realize the rapid adjustment of the pitching angle of the photovoltaic panel. Moreover, the height of the column is relatively low, and the operator can stand on the ground to operate the pushing screw rod, which is convenient and easy to operate. The rotating part 303 includes an anti-detachment ring 325 arranged at the lower end of the column 302 and an iron fixed seat fixedly connected to the pile foundation 304. The iron fixed seat is provided with an anti-detachment T-shaped groove 326 with one end closed. The anti-detachment ring 325 is movably clamped into the anti-detachment T-shaped groove 326 and locked by a locking mechanism. The locking mechanism includes a locking screw rod 327 and a locking fixing plate 328. The locking fixing plate 328 is fixedly connected to the opening side of the anti-detachment T-shaped groove 326. The locking screw rod 327 is screwed on the locking fixing plate 328 and the inner end is inserted into the limit hole 329 arranged on the column 302.The limiting holes 329 are aligned with the inner top plate of the anti - detachment T - shaped groove 326. There are at least 3 limiting holes, which are circumferentially spaced at 15 - degree intervals. With this structure, rapid rotation adjustment can be achieved. After the locking screw rotates, its inner end inserts into the limiting hole, and then by rotation, the column is tightly abutted against the anti - detachment T - shaped groove. When the rotation angle needs to be adjusted, loosen the locking screw, rotate the column to the set angle, then rotate the locking screw again and its inner end snaps into another limiting hole to continue rotating and locking the column.

[0097] Furthermore, the above - mentioned service platform is provided with an interaction module. In the interaction module, there are a curve display module and an early - warning module. The curve display module includes curves of X - displacement, Y - displacement, Z - displacement, horizontal resultant displacement, and azimuth angle of each monitoring point. The early - warning module is divided into four early - warning levels according to the early - warning threshold, and the four early - warnings are correspondingly displayed in four colors: red, orange, yellow, and blue. By using the surface displacement extraction module to specifically extract X - displacement, Y - displacement, Z - displacement, horizontal resultant displacement, and azimuth angle, the monitoring of displacements in different directions and comprehensive displacements can be realized. Furthermore, comprehensive pre - judgment can be achieved, avoiding the problem of large early - warning errors caused by single - factor judgment.

[0098] Embodiment 2: A monitoring method of a mine - mining monitoring system includes a monitoring method for above - ground and underground mines and a surface - displacement monitoring method. The monitoring method for above - ground and underground mines obtains the collected data through the corresponding model based on the monitored corresponding photos, and then the belt operation situation, the discharging situation of the discharging hopper, the loading and transporting situation of ore - transporting vehicles, the situation of personnel and vehicles at the entrance of the mine for taking the vehicle, the situation of entering and leaving personnel at the personnel entrance, the situation of personnel leaving their posts and dozing off in the dispatching room, the running situation of the drum in the hoisting machine room, the situation of personnel entering the bottom shaft yard, and the situation of the cage platform in place. The surface - displacement monitoring method collects multiple surface displacements in the mining - covered area of the mine. When the surface displacement reaches the set early - warning threshold, it is correspondingly allocated to the corresponding threshold early - warning module for early - warning, and the early - warning situation is uploaded level by level.

[0099] As described above, the above is only the specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art within the technical scope disclosed by the present invention can easily think of changes or substitutions, which should all be covered within the protection scope of the present invention. Therefore, the protection scope of the present invention should be subject to the protection scope of the claimed rights.

Claims

1. A mining monitoring system, characterized in that: include: The video acquisition module of key points in the mine is used to collect video information, including the main conveyor belt head, bucket unloading port, mining vehicle entrance and exit, entry point, personnel entrance and exit, dispatching room, hoisting room, pit bottom parking lot, horse head door-cage rocking platform video information; The early warning analysis module is used to perform early warning analysis on the collected video information of each category; Business platform, used to receive alarm data from the early warning analysis module; The supervision platform is used to receive the alarm data of each mining area after being processed by the business platform.

2. A mining monitoring system according to claim 1, characterized in that: It also includes a surface displacement extraction module for extracting multiple surface displacements in the mining coverage area. After receiving the displacement data from the surface displacement extraction module, the business platform performs early warning classification analysis to obtain the early warning level.

3. A mining monitoring system according to claim 1, characterized in that: The video acquisition module for key points in the mine uses hemispherical cameras, gun cameras or ball cameras for the dispatching room, hoisting room, personnel entrances and exits, skip unloading ports, and entrances and exits for mining vehicles above the mine, and mine explosion-proof cameras for the main transport belt head, entry point, and bottom parking lot area underground.

4. A mining monitoring system according to claim 1, characterized in that: The mine flameproof camera is provided with a demisting and dust removing device, which comprises an air jet hole (101) and a water jet hole (102) arranged inside an annular sleeve (10). The annular sleeve (10) is sleeved on the end of the camera lens of the mine flameproof camera (103). The air jet hole (101) and the water jet hole (102) are staggeredly arranged around the camera lens of the camera (103) and the spray direction is toward the camera lens surface. 02) are connected to the gas chamber (104) and the water mixing chamber (105), respectively, the gas chamber (104) and the water mixing chamber (105) are connected to the air pump (106) and the water pump (107) respectively through pipelines, the camera lens of the camera (103), the gas chamber (104) and the water mixing chamber (105) are arranged in the annular sleeve (10), and the bottom of the annular sleeve (10) is provided with a drainage hole (108), and the drainage hole (108) is connected to the drainage channel through a thin tube.

5. A mining monitoring system according to claim 1, characterized in that: The mining explosion-proof camera (103) is installed on the pitching and swinging mechanism (20), and the pitching and swinging mechanism (20) comprises a double-ear slot plate (2001) and a swinging fixed seat (2002). The upper part of the double-ear slot plate (2001) is provided with double ears (2003) for hingedly connecting the mining explosion-proof camera (103). Two compression springs (2004) are arranged on both sides of the front end of the double-ear slot plate (2001), and the two ends of the two compression springs (2004) are respectively fixedly connected to two convex plates (2005) arranged on both sides of the front end of the double-ear slot plate (2001) and the mining explosion-proof camera. On two spring connection plates (2006) arranged on both sides of the camera (103), the double-ear groove plate (2001) is vertically spirally connected to a pitch adjustment screw rod (2007) by the rear end bottom plate, the upper end of the pitch adjustment screw rod (2007) is arranged as a spherical part, the spherical part abuts against the groove of a rubber block (2008) arranged at the bottom of the mining explosion-proof camera (103), and the diameter of the spherical part is the same as the width of the groove, the lower end of the pitch adjustment screw rod (2007) extends out of the bottom plate of the double-ear groove plate (2001) and is provided with a rotating ring (2009), the outer end of the double-ear groove plate (2001) is provided with a rotating ring (2009), and the outer end of the double-ear groove plate (2001) is provided with a rotating ring (2009). A lower boss (2010) is provided in the middle of the bottom side, and the lower boss (2010) is rotatably connected to the upper port of the groove (2012) provided on the swing fixing seat (2002) through a bearing 1 (2011). A driven gear (2013) is provided at the lower end of the lower boss (2010), and a driving gear (2014) meshing with the driven gear (2013) is rotatably connected to the swing fixing seat (2002) through a rotating driving shaft (2015) via a bearing 2 (2022), and the lower end thereof extends out of the swing fixing seat (2002) for a certain distance and then is fixedly connected to a rotating ring 2. (2016), a locking screw (2017) is vertically spirally connected to the middle part of the bottom side of the swing fixing seat (2002), the upper end of the locking screw (2017) is a spherical part two, the spherical part two is against the spherical groove (219) set at the bottom of the metal plate (2018), a rubber plate (2020) is bonded above the metal plate (2018), and the rubber plate (2020) is fixedly connected to the lower end surface of the driven gear (2013), and the lower end of the locking screw (2017) extends out of the swing fixing seat (2002) for a distance and is fixedly connected to the rotating ring three (221).

6. A mining monitoring system according to claim 1, characterized in that: For the main conveyor belt head, bucket unloading port or mining vehicle entrance and exit, the mining explosion-proof camera has a depression angle of 40-70 degrees; the mining explosion-proof camera can shoot the transportation equipment without obstruction and can see the material transmission situation; the camera screen is horizontal, the belt is in the vertical center of the whole screen and the left and right sides of the belt are symmetrical; the camera resolution is at least 1280*720; the mining vehicle entrance and exit pictures shot by the mining explosion-proof camera must ensure the complete image information of the mining vehicle, and ensure that the image proportion of the mining vehicle is within the range of [1 / 128, 1 / 32]; For the boarding point, the mine explosion-proof camera identifies the number of vehicles and people entering and leaving the mine; the mine explosion-proof camera is hung on the top plate near the monkey car boarding point, and the direction of the mine explosion-proof camera is consistent with the direction of the monkey car; the mine explosion-proof camera needs to shoot at least 8m along the direction of the monkey car, and avoid obstacles other than the monkey car and its track blocking the camera's field of view; the mine explosion-proof camera is set with a set depression angle to ensure that the lens fully covers the full-body image of the person who is about to board the monkey car; the camera resolution is at least 1280*720; For personnel entrances and exits, the mine explosion-proof camera identifies the number of people entering and exiting the well. The mine explosion-proof camera shoots the passageway entrances and exits without obstruction, and covers the entire wellhead area, so that people can see the wellhead and exits. The mine explosion-proof camera has a depression angle of 40-70 degrees, ensuring that the mine explosion-proof camera covers the heads and shoulders of people in front and behind without obstruction, and the head and shoulder features are complete. The mine explosion-proof camera is located above the oblique side of the passageway entrance and exit. When a person stands 1 meter in front of or behind the edge of the entrance and exit, the mine explosion-proof camera screen can still fully see the head and shoulders of the person. The resolution of the mine explosion-proof camera is at least 1280*720. For the dispatching room, the mine flameproof camera can identify vacant posts and sleeping staff in the dispatching room; there is no obstruction between the mine flameproof camera and the dispatching room workstation, covering the entire dispatching room area, and the status of the on-duty staff can be seen; the resolution of the mine flameproof camera is at least 1280*720; the mine flameproof camera is equipped with a voice call module; For the hoist room, the mine flameproof camera identifies the operating status of the hoist. There is no obstruction between the mine flameproof camera and the hoist, and the roller rotation covering the entire hoist area can see the operation status of the hoist; the camera resolution is at least 1280*720; For the pit parking lot, the mine explosion-proof camera identifies the people entering the pit parking lot. There is no obstruction between the mine explosion-proof camera and the pit parking lot, covering the entire pit parking lot area, and people passing by can be seen; the camera resolution is at least 1280*720; For the horse head door-cage cradle, the mine flameproof camera identifies whether the cage cradle is in place. There is no obstruction between the mine flameproof camera and the cage cradle, covering the entire cage cradle area, and the situation of the on-duty personnel can be seen; the camera resolution is at least 1280*720.

7. A mining monitoring system according to claim 1, characterized in that: The early warning analysis module uses the AI ​​intelligent analysis box to select and train models for different video information categories to obtain the corresponding video information detection model; for the main transport belt conveyor head and skip unloading port, the AI ​​intelligent analysis box uses the video classification model to train a model, that is, the video classification model of the main transport belt conveyor head / skip unloading port point, by directly uploading the corresponding video clips of the main transport belt conveyor head / skip unloading port point to the classification folder, and uploading the corresponding video clips according to the four classifications of static no ore, static belt, moving no ore, and moving with ore designed in the early stage of the AI ​​intelligent analysis box. After uploading, it is directly input into the video classification model training, and the trained main transport belt conveyor head / skip unloading port point is obtained after training. The AI ​​​​smart analysis box uses a hybrid model to train a hybrid judgment model for the entrance and exit of mining vehicles, that is, the trucks in the picture are calibrated along the edge contour of the entire truck, and the trucks are divided into empty and loaded trucks according to whether they are loaded. The hybrid judgment model for the entrance and exit of mining vehicles is obtained by inputting the calibrated truck video clips into the hybrid model for training; for the entry point, the AI ​​​​smart analysis box uses the detection model to train a detection model for the entry point, that is, it is designed with two labels, namely, label one is the head and shoulders and label two is the mine car. When calibrating the personnel entering the mine, all personnel appearing in the picture are calibrated, and the personnel are calibrated along the head and shoulders of the personnel. The AI ​​​​intelligent analysis box uses the detection model to train the detection model to obtain a personnel entrance and exit detection model, that is, the design label is head and shoulders. When calibrating the personnel entering the mine, all the personnel appearing in the picture are calibrated. When calibrating the personnel, calibration is performed along the head and shoulders of the personnel, that is, the area from the top of the head to the shoulders is used as the calibration target object. The personnel entrance and exit detection model is obtained by training the detection model through inputting labeled personnel entrance and exit video clips. ; For the dispatch room detection, the AI ​​intelligent analysis box uses two detection models for training to obtain a personnel leaving their posts detection model and a personnel sleeping on the post detection model. The personnel sleeping on the post detection model is designed with the label "sleeping on the post". During calibration, the personnel sleeping on the table are selected as sleeping on the post. During calibration, the calibration is performed along the upper body area of ​​the personnel. The calibrated sleeping on the post video clip is input into the detection model for training to obtain the personnel sleeping on the post detection model; the personnel leaving their posts detection model is designed with the label "head and shoulders". During calibration, all personnel appearing in the screen in the duty room are calibrated. When calibrating personnel, the calibration is performed along the head and shoulders of the personnel, that is, the area from the top of the head to the shoulders is used as the calibration target object. The calibration target object is input into the detection model for training to obtain the personnel leaving their posts detection model;For the elevator room, the AI ​​intelligent analysis box uses the video classification model to train and obtain the video classification model of the elevator room belt movement status, that is, directly upload the corresponding video clips of the belt movement status to the classification folder, and upload the corresponding video clips according to the two classifications of belt stillness and belt movement designed in the early stage. After uploading, directly input it into the video classification model training to obtain the video classification model of the elevator room belt movement status; for the pit bottom parking lot, the AI ​​intelligent analysis box uses the detection model to train and obtain the pit bottom parking lot personnel entry detection model, that is, the design label is head and shoulder, and all personnel appearing in the picture are calibrated when calibrating personnel. When calibrating personnel, the calibration is performed along the head and shoulders of the personnel, that is, the area from the top of the head to the shoulders is used as the calibration target object, and the calibration target object is input into the detection model training to obtain the pit bottom parking lot personnel entry detection model; for the horse head door-cage cradle, the AI ​​intelligent analysis box uses a hybrid model training to obtain a hybrid judgment model for the cage cradle in place, that is, the detection label is the cage cradle, and the corresponding classification is performed according to whether the cage cradle is in place. During calibration, the calibration is performed along the edge contour of the key parts of the cage cradle, and the calibrated cage cradle video clip is input into the hybrid model training to obtain a hybrid judgment model for the cage cradle in place. ; 8. A mining monitoring system according to claim 2, characterized in that: The surface displacement extracted by the surface displacement extraction module is the relative movement distance of multiple monitoring points arranged in the mining area relative to the reference monitoring point. The specific information of the surface displacement includes: Horizontal displacement: the relative displacement of the monitoring station relative to the reference station in three-dimensional coordinates; X displacement: the displacement of the monitoring station relative to the base station in the east-west direction of the X axis in three-dimensional coordinates; Y displacement: the displacement of the monitoring station relative to the base station in the north-south direction of the Y axis in the three-dimensional coordinates; Z displacement: the displacement of the monitoring station relative to the base station in the vertical direction of the Z axis in the three-dimensional coordinate system; Azimuth: The horizontal angle from the north end of the standard direction to a straight line in a clockwise direction is called the azimuth of the straight line; The monitoring station displacement monitoring adopts a deformation monitoring GNSS receiver (301) for monitoring. The deformation monitoring GNSS receiver (301) is installed on the top of the column (302). The lower end of the column (302) is connected to the pile foundation (304) through a rotating part (303). The deformation monitoring GNSS receiver (301) is connected to a control box. The charging module of the control box is connected to a photovoltaic panel (305). The photovoltaic panel (305) is hinged to the end of the cantilever frame (306) near the lower side. The cantilever frame (306) is fixedly connected to the column (302) through a clamp (318). The upper end of the photovoltaic panel (305) is symmetrically connected to a beam (308) fixed to the column (302) through two tension springs (307), and a pressure rod (309) is pressed against the back of the photovoltaic panel (305) between the two tension springs (307). The back of the photovoltaic panel (305) is provided with a strip-shaped directional groove in the same direction of its inclination. The end of the pressure rod (309) is provided with a curved arch (310), and the curved arch (310) is movably inserted into the strip-shaped directional groove. The pressure rod (309) is hinged to the cantilever frame (306) near the middle, and the lower end of the pressure rod (309) is hinged to a short connecting rod (311). The short connecting rod (311) is hinged to the cantilever frame (306). 11) The other end is hinged to one end of the driving rod (312), the other end of the driving rod (312) is hinged to one end of the push rod (313), one end of the auxiliary connecting rod (314) is hinged near the middle of the driving rod 312, the other end of the auxiliary connecting rod (314) is hinged to the hinge between the pressure rod 309 and the cantilever frame 306, a push column (315) is arranged at the other end of the push rod (313), the push column (315) extends into the inclined guide cylinder (316), the lower end of the guide cylinder (316) is spirally connected with a push screw (320), the inner end of the push screw (320) is against the spherical ball (321), and the push screw (320) An operating handle (323) is provided at the outer end, and a through hole (324) is provided on the operating handle (323) which crosses the rotating rod. The diameter of the spherical bead (321) is slightly smaller than that of the guide cylinder (316). The spherical bead (321) abuts against the push column (315). An anti-slip nut (322) is provided at the upper end of the guide cylinder (316). The inner hole of the anti-slip nut (322) is smaller than the diameter of the push column (315), which can play a better anti-slip effect. The guide cylinder (316) is fixedly connected to the cantilever support frame (317), and the cantilever support frame (317) is fixedly connected to the column (302) through the second clamp (319).

9. A mining monitoring system according to claim 8, characterized in that: The business platform is equipped with an interactive module, which includes a curve display module and an early warning module. The curve display module includes curves of X displacement, Y displacement, Z displacement, horizontal displacement and azimuth of each monitoring point. The early warning module is divided into four warning levels according to the warning threshold. The four warnings are displayed in red, orange, yellow and blue.

10. The monitoring method of a mining monitoring system according to claim 2, characterized in that: The method includes an above-ground and underground monitoring method for a mine and a surface displacement monitoring method. The above-ground and underground monitoring method for a mine obtains collected data through a corresponding model based on the corresponding monitored photos, and then the belt operation status, the unloading status of the unloading hopper, the loading status of the ore transport vehicle, the personnel and vehicle status of the boarding point for entering the mine, the personnel entering and leaving the personnel entrance, the personnel leaving and sleeping on the dispatching room, the drum operation status of the hoisting room, the personnel entering the pit bottom parking lot and the cage rocking platform in place; the surface displacement monitoring method collects multiple surface displacements of the mining coverage area of ​​the mine. When the surface displacement reaches the set warning threshold, it is allocated to the corresponding threshold warning module for warning, and the warning situation is uploaded step by step.

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