Visual monitoring and early warning system for coal mine safety behaviors

Abstract

The invention relates to the technical field of coal mine early warning, in particular to a coal mine safety behavior visual monitoring and early warning system which comprises an information acquisition unit, a monitoring display unit, an image recognition unit, a data analysis unit, a central processing unit and a safety early warning unit. The information acquisition unit is used for monitoring equipment parameters in real time and acquiring images in a mine; the monitoring display unit is used for displaying equipment parameters and fault properties and places; the image recognition unit is used for carrying out recognition processing on the image; the data analysis unit is used for calculating the deviation degree of the working face, judging the running state of the scraper conveyor, calculating the uniformity of coal briquettes and performing risk assessment on the coal piling condition; the central processing unit is used for automatically controlling the equipment; and the safety early warning unit is used for carrying out voice broadcast on the transfer point and the equipment and sending out an early warning signal. According to the invention, by detecting various operation parameters of the equipment in the mining transportation process, visual monitoring and early warning are carried out on the safety state of the equipment.

Description

Technical Field

[0001] The present invention relates to the technical field of coal mine early warning, and in particular to a visual monitoring and early warning system for coal mine safety behavior. Background Art

[0002] Coal mine safety monitoring is an important technical means to uniformly improve coal mine production safety and realize real-time monitoring and supervision of coal mine production safety conditions by coal industry management departments and coal mine production safety supervision departments. The implementation of unified coal mine safety monitoring is also of great significance to the long-term stability of coal mine production safety. Traditional mine video surveillance systems are inefficient, with massive monitoring video data, difficult personnel supervision, lack of intelligent prompts and real-time supervision, and inability to respond in time to emergencies, resulting in the development of the situation and increased safety losses.

[0003] Chinese Patent Publication No.: CN111911233A discloses a visual monitoring and early warning system for safety behavior of non-coal mine personnel, including a non-coal mine track, which is arranged around the coal mine, and the top of which is fixedly connected with a mounting plate, and a sliding cavity is provided inside the non-coal mine track, and the inner walls on both sides of the sliding cavity are fixedly connected with a plurality of equally spaced limit plates, and the inner side wall of the sliding cavity is slidably connected with a moving plate, and a transmission mechanism and an adjustment mechanism are provided on the moving plate, and the top of the adjustment mechanism is connected with a connecting plate by a plurality of bolts, and the connecting plate is located between the two mounting plates, and the two ends of the connecting plate are in sliding contact with the inner side walls of the two limit plates at the corresponding positions; it can be seen that the visual monitoring and early warning system for safety behavior of non-coal mine personnel has the following problems: Only personnel who linger around the mine for a long time are inspected, ignoring the safety status of equipment inside the mine that is affected by safety hazards during the coal mining process. Summary of the invention

[0004] To this end, the present invention provides a visual monitoring and early warning system for coal mine safety behavior, which is used to overcome the problem that the prior art only detects personnel who wander around the mine for a long time, while ignoring the safety status of equipment inside the coal mine that is affected by safety hazards during the coal mining process.

[0005] To achieve the above object, the present invention provides a coal mine safety behavior visual monitoring and early warning system, comprising: An information collection unit, which is connected to the data analysis unit and the image recognition unit, includes a front-end camera module and a number of pressure and current sensors, and is used to monitor the motor winding parameters of the belt conveyor, transfer machine, and scraper conveyor in real time and obtain images inside the mine; A monitoring and display unit, which is connected to the image recognition unit and includes a plurality of displays for displaying motor winding parameters of belt conveyors, transfer machines, and scraper conveyors, as well as the nature and location of faults during transportation in the form of Chinese characters and dynamic graphics; An image recognition unit, connected to the central processing unit, is used to recognize and process the image acquired by the information acquisition unit, and transmit the processed image to the monitoring display unit; A data analysis unit connected to the central processing unit is used to calculate the deviation of the working surface according to the curvature of the scraper conveyor, determine the operating status of the scraper conveyor and the volume of the transported coal blocks, calculate the uniformity of the coal blocks of the scraper conveyor and conduct risk assessment on the coal pile situation at the transfer point, and adjust the evaluation criteria for the coal pile at the transfer point; The central processing unit is used to push the scraper conveyor through the support control system, and to perform single-machine control, multi-machine linkage control and automatic control of the scraper conveyor, transfer machine and belt conveyor. The control functions mainly include the start and stop of each single-machine equipment, the joint start and stop of multiple machines, and the automatic sequential start and stop functions; The safety warning unit is used to receive the signal transmitted by the data analysis unit, and according to the signal, voice broadcast the transfer point at the risk level and send out a warning signal.

[0006] The information acquisition unit measures the curvature of the scraper conveyor through the inertial navigation installed on the coal mining machine, and transmits the data to the data analysis unit. The data analysis unit compares the curvature of the scraper conveyor with the path planning generated by the central processing unit, and calculates the deviation of the working face. The central processing unit pushes the scraper conveyor through the support control system to achieve automatic straightening of the working face, thereby ensuring that the path of the scraper conveyor to transport coal blocks is correct and the working face is continuously advanced.

[0007] Furthermore, the information acquisition unit detects the shaft speed of the scraper conveyor in real time and transmits the data to the data analysis unit, which has a preset standard transport speed. The data analysis unit calculates the actual transport speed of the scraper conveyor based on the shaft speed, and calculates the speed difference between the actual transport speed and the standard transport speed.

[0008] Further, if the transport speed of the scraper conveyor is lower than the standard transport speed but the difference is small, the data analysis unit determines that the transport load of the scraper conveyor is large, and the data analysis unit transmits a signal to the central processing unit, and the central processing unit reduces the operating power of the coal mining machine; If the transport speed of the scraper conveyor is lower than the standard transport speed but the difference is large, the data analysis unit determines that the scraper conveyor has a fault or is shut down. The data analysis unit transmits a signal to the safety warning unit to issue a scraper conveyor fault warning signal, and displays the nature and location of the fault through the monitoring display unit.

[0009] Furthermore, the information acquisition unit performs real-time video monitoring of the coal blocks transported by the scraper conveyor and transmits the data to the image processing unit. The image processing unit detects the actual volume of the coal blocks. The data analysis unit has a preset critical volume of the coal blocks. The data analysis unit compares the actual volume of the coal blocks with the critical volume. If the actual volume is not greater than the critical volume, the data analysis unit determines that the volume of the coal block is within the critical volume range of the coal block; If the actual volume is larger than the critical volume, the data analysis unit determines that the volume of the coal block exceeds the critical volume range of the coal block, transmits a signal to the image processing unit to select and identify the large coal block, and displays it in the monitoring display unit.

[0010] Furthermore, the information acquisition unit acquires images of the scraper conveyor during the process of conveying coal blocks, the image processing unit detects the number of coal blocks in the image, and the data analysis unit calculates the uniformity of the coal blocks of the scraper conveyor according to the number of coal blocks per unit area.

[0011] Furthermore, the data analysis unit draws a uniformity curve according to the change of the uniformity of the coal block at any transfer point over time, and compares the uniformity of the coal block with the standard uniformity of the coal block. If the coal block uniformity is not greater than the standard coal block uniformity, the data analysis unit determines that the coal block uniformity at the transfer point is moderate and there is no coal pile; If the coal block uniformity is greater than the coal block standard uniformity, the data analysis unit determines that the coal block uniformity at the transfer point is too large, and performs a risk assessment on the coal pile situation at the transfer point according to the rising trend of the curve.

[0012] Furthermore, the data analysis unit obtains the derivative function of the uniformity curve and performs risk assessment on the coal pile situation at the transfer point. When the coal uniformity at the transfer point is moderate, if the derivative value of the curve is greater than zero, the data analysis unit determines that the coal uniformity at the transfer point is increasing, the coal uniformity is gradually approaching the standard coal uniformity, and the transfer point is at the first risk level of coal stacking; When the data analysis unit determines that the uniformity of the coal blocks at the transfer point is too large, if the derivative value of the curve is less than zero, the data analysis unit determines that the uniformity of the coal blocks at the transfer point is decreasing, the uniformity of the coal blocks is gradually approaching the standard uniformity of the coal blocks, and the transfer point is at the second risk level of coal stacking; if the derivative value of the curve is equal to zero, the data analysis unit determines that the uniformity of the coal blocks at the transfer point remains unchanged, and the transfer point is at the third risk level of coal stacking; if the derivative value of the curve is greater than zero, the data analysis unit determines that the uniformity of the coal blocks at the transfer point continues to rise, and the degree of coal stacking at the transfer point is serious.

[0013] Furthermore, when the transfer point is at the first risk level of coal accumulation, the data analysis unit transmits a signal to the safety warning unit to issue a first warning signal; when the transfer point is at the second risk level of coal accumulation, the safety warning unit issues a second warning signal and makes a voice broadcast to the transfer point at the risk level; when the transfer point is at the third risk level of coal accumulation, the safety warning unit issues a third warning signal and makes a voice broadcast to the transfer point at the risk level; when the degree of coal accumulation at the transfer point is serious, the central processing unit stops the operation of the coal mining machine and the scraper conveyor, and controls the safety warning unit to issue a shutdown alarm, and displays the coal-pile transfer point in the monitoring display unit.

[0014] Furthermore, the data analysis unit adjusts the standard uniformity of the coal blocks according to the transport speed of the scraper conveyor and the size of the coal blocks. The standard uniformity of the coal blocks is negatively correlated with the ratio of the transport speed to the standard transport speed and the ratio of the coal block volume to the critical volume.

[0015] Compared with the prior art, the beneficial effect of the present invention is that if the scraper conveyor is bent or tilted, the coal will accumulate or fall off during transportation, affecting the transportation efficiency; by real-time monitoring of the motion trajectory of the coal mining machine, the position of the scraper conveyor can be adjusted in time to ensure that it maintains straightness, thereby improving the efficiency of coal transportation; by combining the motion trajectory data of the coal mining machine with the straightness monitoring system of the scraper conveyor, the intelligent management of the coal mine transportation system can be realized, thereby improving the production efficiency and safety of the entire coal mine.

[0016] Furthermore, by calculating the actual transport speed of the scraper conveyor and comparing it with the preset standard transport speed, the load-bearing degree of the scraper conveyor and whether the scraper conveyor is faulty are judged according to the speed difference, thereby improving the accuracy of risk warning.

[0017] Furthermore, when the scraper conveyor of the working face transports coal, there will often be coal piles when passing through the transfer point. During the coal stacking process, heat will be generated due to oxidation. If the stacking method is improper, the ventilation is poor, and the heat cannot be dissipated in time, the coal temperature may rise and eventually cause spontaneous combustion. The spontaneous combustion of coal will not only cause the loss of coal resources, but also cause fires, posing a threat to the surrounding environment and personnel safety; at the same time, a large amount of dust will be generated during the coal stacking process, which will not only pollute the air and affect the health of the respiratory system, but also cause explosions. Especially in a dry environment, when the dust concentration reaches a certain level, an explosion may occur when encountering a fire source or static sparks; as the friction of coal blocks on the conveyor belt increases, the wear on the conveyor belt increases, and in severe cases, the conveyor belt will tear, causing the belt conveyor to stop, affecting the efficiency of coal mining and transportation, affecting production efficiency, and increasing safety risks; the system uses the video screen at the transfer point, and adopts a combination of visual area calculation and contour scanning to achieve accurate statistics of transported materials and identify the uniformity of materials and coal stacking conditions, so as to detect and warn in advance, reducing the risks in the coal mining and transportation process.

[0018] Furthermore, during the transportation of coal blocks, the greater the transportation speed of the coal blocks and the larger the volume of the coal blocks, the greater the harm to the transportation process when the transfer point is in a coal pile state. The system reduces the standard uniformity of the coal blocks according to the ratio of the transportation speed and volume of the coal blocks to the standard value, thereby improving the risk warning sensitivity of coal piles at the transfer point and improving the accuracy of monitoring and early warning during coal mining and transportation. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Figure 1 It is a unit connection diagram of the visual monitoring and early warning system for coal mine safety behavior in an embodiment of the present invention; Figure 2 It is a schematic diagram of a flow chart of judging the working state of a scraper conveyor according to the transport speed in an embodiment of the present invention; Figure 3 It is a schematic diagram of a process for evaluating the risk of coal pile at a transfer point according to the uniformity of coal blocks in an embodiment of the present invention; Figure 4 The figure is a schematic diagram of the process of selecting and identifying large coal blocks during coal mining and transportation in an embodiment of the present invention. DETAILED DESCRIPTION

[0020] In order to make the objects and advantages of the present invention more clearly understood, the present invention is further described below in conjunction with embodiments; it should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0021] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only used to explain the technical principles of the present invention and are not intended to limit the protection scope of the present invention.

[0022] It should be noted that, in the description of the present invention, terms such as "up", "down", "left", "right", "inside" and "outside" indicating directions or positional relationships are based on the directions or positional relationships shown in the drawings. This is merely for the convenience of description and does not indicate or imply that the device or element must have a specific orientation, be constructed and operated in a specific orientation. Therefore, it cannot be understood as a limitation on the present invention.

[0023] In addition, it should be noted that in the description of the present invention, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For those skilled in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0024] See also Figure 1-Figure 4 As shown, Figure 1 It is a unit connection diagram of the visual monitoring and early warning system for coal mine safety behavior in an embodiment of the present invention; Figure 2 It is a schematic diagram of a flow chart of judging the working state of a scraper conveyor according to the transport speed in an embodiment of the present invention; Figure 3 It is a schematic diagram of a process for evaluating the risk of coal pile at a transfer point according to the uniformity of coal blocks in an embodiment of the present invention; Figure 4 The figure is a schematic diagram of the process of selecting and identifying large coal blocks during coal mining and transportation in an embodiment of the present invention.

[0025] The present invention provides a coal mine safety behavior visual monitoring and early warning system, comprising: An information collection unit, which is connected to the data analysis unit and the image recognition unit, includes a front-end camera module and a number of pressure and current sensors, and is used to monitor the motor winding parameters of the belt conveyor, transfer machine, and scraper conveyor in real time and obtain images inside the mine; One intrinsically safe mining camera for monitoring the support is installed on every 4 supports. It is installed on the top beam of the support, and the irradiation direction is parallel to the working surface, so that the remote operator can observe the support movement. One intrinsically safe mining camera for monitoring the coal wall video is installed on every 3 supports. It is installed on the top beam of the support, and the irradiation direction is perpendicular to the working surface, providing the remote operator with a coal-rock discrimination video interface in real time. The front-end camera module has image transmission function, rotation function, the rotation angle is not less than 300°, self-cleaning function, infrared fill light, and color picture function. A monitoring display unit, which is connected to the image recognition unit, and is used to display the motor winding parameters of the belt conveyor, the transfer machine, and the scraper conveyor, as well as the nature and location of the faults during the transportation process in the form of Chinese characters and dynamic graphics; the display of the monitoring display unit can simultaneously display the images taken by the monitoring bracket using the mining intrinsically safe camera, and can follow the coal mining machine to display the videos taken by the mining intrinsically safe camera for monitoring the coal wall; An image recognition unit, connected to the central processing unit, is used to recognize and process the image acquired by the information acquisition unit, and transmit the processed image to the monitoring display unit; A data analysis unit connected to the central processing unit is used to calculate the deviation of the working surface according to the curvature of the scraper conveyor, determine the operating status of the scraper conveyor and the volume of the transported coal blocks, calculate the uniformity of the coal blocks of the scraper conveyor and conduct risk assessment on the coal pile situation at the transfer point, and adjust the evaluation criteria for the coal pile at the transfer point; The central processing unit is used to push the scraper conveyor through the support control system, and to perform single-machine control, multi-machine linkage control and automatic control of the scraper conveyor, transfer machine and belt conveyor. The control functions mainly include the start and stop of each single-machine equipment, the joint start and stop of multiple machines, and the automatic sequential start and stop functions; The safety warning unit is used to receive the signal transmitted by the data analysis unit, and according to the signal, voice broadcast the transfer point at the risk level and send out a warning signal.

[0026] In the coal mine production of this embodiment, the scraper conveyor and the belt conveyor are used in conjunction with the transfer machine. The coal is transported out from the working face by the scraper conveyor, and then transferred to the belt conveyor through the transfer machine, and then the belt conveyor transports the coal to the ground or other processing locations.

[0027] The information acquisition unit measures the curvature of the scraper conveyor through the inertial navigation installed on the coal mining machine, and transmits the data to the data analysis unit. The data analysis unit compares the curvature of the scraper conveyor with the path planning generated by the central processing unit, and calculates the deviation of the working face. The central processing unit pushes the scraper conveyor through the support control system to achieve automatic straightening of the working face, thereby ensuring that the path of the scraper conveyor to transport coal blocks is correct and the working face is continuously advanced.

[0028] The inertial navigation system adopts LASC inertial navigation technology, which mainly uses a customized positioning and navigation algorithm of a high-precision fiber optic gyroscope to record the motion trajectory of the coal mining machine during the coal mining process, and judges whether the bracket and scraper conveyor are aligned through the motion trajectory.

[0029] Specifically, if the scraper conveyor is bent or tilted, the coal will pile up or fall off during transportation, affecting transportation efficiency; by real-time monitoring of the motion trajectory of the coal mining machine, the position of the scraper conveyor can be adjusted in time to ensure that it maintains straightness, thereby improving the efficiency of coal transportation; by combining the motion trajectory data of the coal mining machine with the straightness monitoring system of the scraper conveyor, the intelligent management of the coal mine transportation system can be realized, improving the production efficiency and safety of the entire coal mine.

[0030] The information acquisition unit detects the rotation speed of the scraper conveyor shaft in real time and transmits the data to the data analysis unit. The data analysis unit has a preset standard transport speed. The data analysis unit calculates the actual transport speed of the scraper conveyor according to the rotation speed of the shaft, and calculates the speed difference between the actual transport speed and the standard transport speed. The data analysis unit determines that the transport load of the scraper conveyor is large according to the fact that the transport speed of the scraper conveyor is lower than the standard transport speed but the difference is small, and transmits a signal to the central processing unit, and the central processing unit reduces the operating power of the coal mining machine; The data analysis unit determines that the scraper conveyor has a fault or stops according to the fact that the conveying speed of the scraper conveyor is lower than the standard conveying speed but the difference is large. The data analysis unit transmits a signal to the safety warning unit to issue a scraper conveyor fault warning signal, and displays the nature and location of the fault through the monitoring display unit; The size of the difference is determined by comparing the speed difference with a preset speed difference evaluation value. If the speed difference is greater than the speed difference evaluation value, the difference is determined to be large.

[0031] Specifically, by calculating the actual transport speed of the scraper conveyor and comparing it with the preset standard transport speed, the load-bearing degree of the scraper conveyor and whether the scraper conveyor is faulty are judged based on the speed difference, thereby improving the accuracy of risk warning.

[0032] The information acquisition unit performs real-time video monitoring of the coal blocks transported by the scraper conveyor and transmits the data to the image processing unit. The image processing unit detects the actual volume of the coal blocks. The data analysis unit has a preset critical volume of the coal blocks. The data analysis unit compares the actual volume of the coal blocks with the critical volume. The data analysis unit determines that the volume of the coal block is within the critical volume range of the coal block according to the actual volume being not greater than the critical volume; The data analysis unit determines that the volume of the coal block exceeds the critical volume range of the coal block based on the actual volume being greater than the critical volume, transmits a signal to the image processing unit to select and identify the large coal block, and displays it on the monitoring display unit.

[0033] It can be understood that the present invention is applicable to the prior art by physically calculating the transport speed of the scraper conveyor and by using images to calculate the volume of the coal blocks.

[0034] The information acquisition unit acquires images of the scraper conveyor during the process of conveying coal blocks, the image processing unit detects the number of coal blocks in the image, the data analysis unit calculates the uniformity of the coal blocks of the scraper conveyor according to the number of coal blocks per unit area, the data analysis unit is provided with a standard uniformity of the coal blocks, the data analysis unit draws a uniformity curve according to the change of the uniformity of the coal blocks at any transfer point over time, obtains the derivative function of the uniformity curve, and performs risk assessment on the coal pile situation at the transfer point according to the size and change trend of the uniformity curve of the coal blocks, The data analysis unit determines that the uniformity of the coal blocks at the transfer point is moderate and there is no coal pile according to the uniformity curve at any time when the uniformity of the coal blocks is not greater than the standard uniformity of the coal blocks. If the derivative value of the uniformity curve at any time is not greater than zero, the data analysis unit determines that the uniformity of the coal blocks at the transfer point remains unchanged or is decreasing, and there is no risk of coal accumulation at the transfer point; If the derivative value of the uniformity curve at any time is greater than zero, the data analysis unit determines that the uniformity of the coal blocks at the transfer point is increasing, and the uniformity of the coal blocks is gradually approaching the standard uniformity of the coal blocks. The transfer point is at the first risk level of the coal pile, and the data analysis unit transmits a signal to the safety warning unit to issue a first warning signal, and voice broadcasts the transfer point at the risk level; The data analysis unit determines that the uniformity of the coal at the transfer point is too large according to the uniformity curve at any time when the uniformity of the coal is greater than the standard uniformity of the coal, and further determines the risk level of the coal pile at the transfer point according to the rising trend of the curve. If the derivative value of the uniformity curve at any time is less than zero, the data analysis unit determines that the uniformity of the coal blocks at the transfer point is decreasing, and the uniformity of the coal blocks is gradually approaching the standard uniformity of the coal blocks. The transfer point is at the second risk level of coal pile, and the data analysis unit transmits a signal to the safety warning unit to issue a second warning signal, and voice broadcasts the transfer point at the risk level; If the derivative value of the uniformity curve at any time is equal to zero, the data analysis unit determines that the uniformity of the coal block at the transfer point remains unchanged, and the transfer point is at the third risk level of coal pile. The data analysis unit transmits a signal to the safety warning unit to issue a third warning signal, and voice broadcasts the transfer point at the risk level; If the derivative value of the uniformity curve at any moment is greater than zero, the data analysis unit determines that the uniformity of the coal blocks at the transfer point continues to rise and the degree of coal accumulation at the transfer point is serious. The central processing unit stops the operation of the coal mining machine and the scraper conveyor, and controls the safety warning unit to issue a shutdown alarm and make voice broadcasts for the transfer points at the risk level.

[0035] Specifically, when the scraper conveyor on the working face transports coal, there will often be coal piles when passing through the transfer point. During the coal stacking process, heat will be generated due to oxidation. If the stacking method is improper, the ventilation is poor, and the heat cannot be dissipated in time, the coal temperature may rise and eventually cause spontaneous combustion. The spontaneous combustion of coal will not only cause the loss of coal resources, but also cause fires, posing a threat to the surrounding environment and personnel safety. At the same time, a large amount of dust will be generated during the coal stacking process. This dust will not only pollute the air and affect the health of the respiratory system, but may also cause explosions. Especially in a dry environment, when the dust concentration reaches a certain level, an explosion may occur when encountering a fire source or static sparks. As the friction of coal blocks on the conveyor belt increases, the wear on the conveyor belt increases. In severe cases, the conveyor belt will tear, causing the belt conveyor to stop, affecting the efficiency of coal mining and transportation, affecting production efficiency, and increasing safety risks. The system uses the video screen at the transfer point, and adopts a combination of visual area calculation and contour scanning to achieve accurate statistics of transported materials and identify the uniformity of materials and coal stacking conditions, so as to detect and warn in advance, reducing the risks in the coal mining and transportation process.

[0036] The data analysis unit adjusts the standard uniformity of the coal block according to the transport speed of the scraper conveyor and the size of the coal block. The standard uniformity of the coal block is negatively correlated with the ratio of the transport speed to the standard transport speed and the ratio of the coal block volume to the critical volume.

[0037] Specifically, during the transportation of coal blocks, the greater the transportation speed of the coal blocks and the larger the volume of the coal blocks, the greater the harm to the transportation process when the transfer point is in a coal pile state. The system reduces the standard uniformity of the coal blocks according to the ratio of the transportation speed and volume of the coal blocks to the standard value, thereby improving the risk warning sensitivity of coal piles at the transfer point and improving the accuracy of monitoring and early warning during coal mining and transportation.

[0038] The system of the present invention monitors the working conditions of scraper conveyors, transfer machines and belt conveyors and performs centralized automatic control. With the main screen of the electro-hydraulic control computer and the video screen of the working surface as auxiliary means, the system realizes single-machine control, multi-machine linkage control and automatic control of scraper conveyors, transfer machines and belt conveyors through the central processing unit. The remote control functions mainly include the start and stop of each single-machine equipment, the joint start and stop of multiple machines and the automatic sequential start and stop functions, and realizes the remote emergency stop locking function. The control delay does not exceed 300 ms.

[0039] The information acquisition unit monitors the motor winding temperature, current and other parameters of the belt conveyor, transfer machine and scraper conveyor in real time, and uploads the data to the monitoring display unit. The monitoring display unit displays the temperature, current and other parameters in the form of Chinese characters and dynamic graphics. The system detects the circuit breakage of the input line and the fault location of the cable, controls the safety warning unit to issue voice alarms for equipment start and stop, equipment status, line locks, various faults, etc., and displays the nature and location of the fault on the monitoring display unit.

[0040] In order to realize the data upload of working face production equipment, the design introduces a network adapter with multiple standardized interfaces and protocols, so that the coal mine safety data can be easily connected to the network through the adapter, thereby achieving the data integration of each subsystem by the working face system, and then performing information detection, control, display, alarm and upload of the data.

[0041] By uploading data from each subsystem through the intelligent working face data center, the remote function of the mobile phone APP can be used to have intelligent analysis functions such as shutdown of hydraulic supports and scraper conveyors, equipment power consumption and real-time video monitoring, intelligently predict abnormal conditions of the working face, and send early warnings in time. The relevant person in charge will receive a mobile phone prompt for timely processing, thereby ensuring safe and efficient production of the coal mine.

[0042] So far, the technical solutions of the present invention have been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it is easy for those skilled in the art to understand that the protection scope of the present invention is obviously not limited to these specific embodiments. Without departing from the principle of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will fall within the protection scope of the present invention.

[0043] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A visual monitoring and early warning system for coal mine safety behavior, characterized in that: include: An information collection unit, which is connected to the data analysis unit and the image recognition unit, includes a front-end camera module and a number of pressure sensors and current sensors, and is used to monitor the motor winding parameters of the belt conveyor, transfer machine, and scraper conveyor in real time and obtain images inside the mine; A monitoring and display unit, which is connected to the image recognition unit and includes a plurality of displays for displaying motor winding parameters of belt conveyors, transfer machines, and scraper conveyors, as well as the nature and location of faults during transportation in the form of Chinese characters and dynamic graphics; An image recognition unit, which is connected to the central processing unit and is used to recognize and process the image acquired by the information acquisition unit, and transmit the processed image to the monitoring display unit; A data analysis unit connected to the central processing unit is used to calculate the deviation of the working surface according to the curvature of the scraper conveyor, determine the operating status of the scraper conveyor and the volume of the transported coal blocks, calculate the uniformity of the coal blocks of the scraper conveyor and conduct risk assessment on the coal pile situation at the transfer point, and adjust the evaluation criteria for the coal pile at the transfer point; The central processing unit is used to push the scraper conveyor through the support control system, and to perform single-machine control, multi-machine linkage control and automatic control of the scraper conveyor, transfer machine and belt conveyor. The control functions mainly include the start and stop of each single-machine equipment, the joint start and stop of multiple machines, and the automatic sequential start and stop functions; The safety warning unit is used to receive the signal transmitted by the data analysis unit, and according to the signal, voice broadcast the transfer point at the risk level and send out a warning signal.

2. A visual monitoring and early warning system for coal mine safety behavior according to claim 1, characterized in that: The information acquisition unit measures the curvature of the scraper conveyor through the inertial navigation installed on the coal mining machine, and transmits the data to the data analysis unit. The data analysis unit compares the curvature of the scraper conveyor with the path planning generated by the central processing unit, and calculates the deviation of the working face. The central processing unit pushes the scraper conveyor through the support control system to achieve automatic straightening of the working face, thereby ensuring that the path of the scraper conveyor to transport coal blocks is correct and the working face is continuously advanced.

3. A visual monitoring and early warning system for coal mine safety behavior according to claim 1, characterized in that: The information acquisition unit detects the shaft speed of the scraper conveyor in real time and transmits the data to the data analysis unit. The data analysis unit calculates the actual transport speed of the scraper conveyor according to the shaft speed, and calculates the speed difference between the actual transport speed and the standard transport speed according to the standard transport speed preset in the data analysis unit.

4. A visual monitoring and early warning system for coal mine safety behavior according to claim 3, characterized in that: If the conveying speed of the scraper conveyor is lower than the standard conveying speed but the difference is small, the data analysis unit determines that the conveying load of the scraper conveyor is large, and the data analysis unit transmits a signal to the central processing unit, and the central processing unit reduces the operating power of the coal mining machine; If the transport speed of the scraper conveyor is lower than the standard transport speed but the difference is large, the data analysis unit determines that the scraper conveyor has a fault or is shut down. The data analysis unit transmits a signal to the safety warning unit to issue a scraper conveyor fault warning signal, and displays the nature and location of the fault through the monitoring display unit.

5. A visual monitoring and early warning system for coal mine safety behavior according to claim 1, characterized in that: The information acquisition unit performs real-time video monitoring of the coal blocks transported by the scraper conveyor and transmits the data to the image processing unit. The image processing unit detects the actual volume of the coal blocks. The data analysis unit has a preset critical volume of the coal blocks. The data analysis unit compares the actual volume of the coal blocks with the critical volume. If the actual volume is not greater than the critical volume, the data analysis unit determines that the volume of the coal block is within the critical volume range of the coal block; If the actual volume is larger than the critical volume, the data analysis unit determines that the volume of the coal block exceeds the critical volume range of the coal block, transmits a signal to the image processing unit to select and identify the large coal block, and displays it in the monitoring display unit.

6. A visual monitoring and early warning system for coal mine safety behavior according to claim 1, characterized in that: The information acquisition unit acquires images of the scraper conveyor during the process of conveying coal blocks, the image processing unit detects the number of coal blocks in the image, and the data analysis unit calculates the coal block uniformity of the scraper conveyor according to the number of coal blocks per unit area.

7. A visual monitoring and early warning system for coal mine safety behavior according to claim 6, characterized in that: The data analysis unit draws a uniformity curve according to the change of the uniformity of the coal block at any transfer point over time, and compares the uniformity of the coal block with the standard uniformity of the coal block. If the coal block uniformity is not greater than the standard coal block uniformity, the data analysis unit determines that the coal block uniformity at the transfer point is moderate and there is no coal pile; If the coal block uniformity is greater than the coal block standard uniformity, the data analysis unit determines that the coal block uniformity at the transfer point is too large, and performs a risk assessment on the coal pile situation at the transfer point according to the rising trend of the curve.

8. A visual monitoring and early warning system for coal mine safety behavior according to claim 7, characterized in that: The data analysis unit obtains the derivative function of the uniformity curve and performs risk assessment on the coal pile situation at the transfer point. When the coal uniformity at the transfer point is moderate, if the derivative value of the curve is greater than zero, the data analysis unit determines that the coal uniformity at the transfer point is increasing, the coal uniformity is gradually approaching the standard coal uniformity, and the transfer point is at the first risk level of coal stacking; When the data analysis unit determines that the uniformity of the coal block at the transfer point is too large, if the derivative value of the curve is less than zero, the data analysis unit determines that the uniformity of the coal block at the transfer point is decreasing, the uniformity of the coal block is gradually approaching the standard uniformity of the coal block, and the transfer point is at the second risk level of coal stacking; If the derivative value of the curve is equal to zero, the data analysis unit determines that the uniformity of the coal blocks at the transfer point remains unchanged, and the transfer point is at the third risk level of coal pile; If the derivative value of the curve is greater than zero, the data analysis unit determines that the uniformity of the coal blocks at the transfer point continues to increase and the degree of coal accumulation at the transfer point is serious.

9. A visual monitoring and early warning system for coal mine safety behavior according to claim 8, characterized in that: When the transfer point is at the first risk level of coal stacking, the data analysis unit transmits a signal to the safety warning unit to issue a first warning signal; When the transfer point is at the second risk level of coal stacking, the safety warning unit sends out the second warning signal and makes a voice broadcast to the transfer point at the risk level; When the transfer point is at the third risk level of coal stacking, the safety warning unit sends out the third warning signal and makes a voice announcement to the transfer point at the risk level; When the coal pile at the transfer point is serious, the central processing unit stops the operation of the coal mining machine and the scraper conveyor, and controls the safety warning unit to issue a shutdown alarm, and displays the coal pile transfer point in the monitoring display unit.

10. A visual monitoring and early warning system for coal mine safety behavior according to claim 7, characterized in that: The data analysis unit adjusts the standard uniformity of the coal block according to the transport speed of the scraper conveyor and the volume of the coal block. The standard uniformity of the coal block is negatively correlated with the ratio of the transport speed to the standard transport speed and the ratio of the coal block volume to the critical volume.

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