Method for monitoring working condition of working face of thin coal seam

Abstract

The invention discloses a thin coal seam working face working condition monitoring method, which comprises the following steps of: after a thin coal seam working face starts mining operation, monitoring and acquiring operation parameters of three machines on the working face by utilizing a data acquisition unit; transmitting the acquired operating parameters to a data processing unit by using a data transmission unit; the data processing unit is used for carrying out data validity judgment on the obtained operation parameters, if the operation parameters do not meet the requirements, the operation parameters are obtained again, if the operation parameters meet the requirements, the operation parameters are analyzed and processed, and the analysis and processing modes comprise classification of the operation parameters and generation of processing data; and transmitting the processed data to a monitoring operation terminal, visually displaying the processed data by using the monitoring operation terminal, and making a decision by an operator according to the visually displayed processed data. According to the monitoring method, intelligent monitoring of the mining working face of the thin coal seam can be achieved, the monitoring accuracy and efficiency are high, and the continuity and safety of mining of the thin coal seam are guaranteed.

Description

Technical Field

[0001] The present invention relates to the technical field of coal seam mining, and in particular to a method for monitoring working conditions of a thin coal seam working face. Background Art

[0002] Currently, the proven thin coal seam coal resources account for more than 20% of my country's total recoverable coal reserves. In the existing technology, in order to ensure the safety and continuity of thin coal seam mining, the operating status of the tertiary equipment needs to be monitored in real time during the thin coal seam mining process. Due to the characteristics of thin coal seams such as narrow space, limited equipment installation space and position, and many interference factors, the existing monitoring methods are mostly traditional monitoring methods such as manual visual inspection, which makes the overall monitoring accuracy and efficiency low, which is not conducive to the realization of automation and intelligence of thin coal seam mining, and also makes the mining of thin coal seams have great safety hazards. Summary of the invention

[0003] The present invention aims to solve one of the technical problems in the related art at least to a certain extent.

[0004] To this end, an embodiment of the present invention proposes a thin coal seam working face working condition monitoring method, which can realize intelligent monitoring of thin coal seam mining working faces, and the monitoring accuracy and efficiency are high, fully ensuring the continuity and safety of thin coal seam mining.

[0005] The method for monitoring working conditions of a thin coal seam working face of an embodiment of the present invention is implemented based on a monitoring system, wherein the monitoring system includes a data acquisition unit, a data transmission unit, a data processing unit, and a monitoring operation terminal, wherein the data acquisition unit and the data transmission unit are both arranged at at least one of the three machines of the working face, wherein the three machines of the working face include a coal mining machine, a scraper conveyor, and a hydraulic support; The monitoring method comprises the following steps: After the mining operation starts at the thin coal seam working face, the operating parameters of the three machines at the working face are monitored and collected using the data acquisition unit; Using the data transmission unit to transmit the collected operating parameters to the data processing unit; Using the data processing unit to judge the data validity of the acquired operating parameters, if the operating parameters do not meet the requirements, re-acquire the operating parameters, if the operating parameters meet the requirements, analyze and process the operating parameters, and the analysis and processing method includes classifying the operating parameters and generating processing data; The processed data is transmitted to the monitoring operation terminal, and the processed data is visually displayed using the monitoring operation terminal, and an operator makes a decision based on the visually displayed processed data.

[0006] In some embodiments, the data acquisition unit includes an integrated sensor, a pressure displacement sensor, and a visual measurement device; The integrated sensor is arranged at the lower end of the rocker arm of the coal mining machine, the middle trough side plate of the scraper conveyor and the middle part of the top beam of the hydraulic support; The pressure displacement sensor is loaded in the jack of the scraper conveyor and / or the hydraulic support; The visual measuring device is mounted on the middle part of the top beam of the hydraulic support, above the traction part of the coal mining machine and on the head power part of the scraper conveyor.

[0007] In some embodiments, the operating parameters include: The integrated sensor collects the relative posture parameters of the three machines, the movement state parameters of the three machines, the vibration intensity parameters of the local positions of the three machines, the dust density parameters in the space, and the pushing distance parameters of the three machines; The jack action stroke parameter, emulsion pressure parameter, jack action speed parameter, and jack action acceleration parameter collected by the pressure displacement sensor; The visual measurement device collects the distribution position parameters of the hydraulic support in the working face, the working position parameters of the scraper conveyor, the action posture parameters of the coal mining machine, the coal wall state parameters, the opening and closing angle parameters of the side guard plate, the coal flow movement state parameters, and the gangue and working face smoke and dust parameters.

[0008] In some embodiments, the integrated sensor includes an explosion-proof housing and a height measurement module, an inclination measurement module, a three-axis acceleration measurement module, a dust detection module, a vibration detection module, a temperature measurement module, a UWB module, and a signal acquisition module assembled in the explosion-proof housing; And / or, the visual measurement device includes multiple RGBD cameras and visible light camera modules.

[0009] In some embodiments, the data transmission unit includes a distributed signal transceiver terminal and a mining intrinsically safe switch; The distributed signal transceiver terminal is mounted on the controller end of the hydraulic support, the electrical part of the coal mining machine, and the head or tail of the scraper conveyor; There are multiple intrinsically safe mine switches, and the multiple intrinsically safe mine switches are arranged at intervals along the working surface, and a set number of hydraulic supports are spaced between two adjacent intrinsically safe mine switches.

[0010] In some embodiments, the scraper conveyor and the hydraulic support are both provided with leaky cables, and the leaky cables are equipped with cellular base stations to construct antennas.

[0011] In some embodiments, the data processing unit includes an embedded controller and a memory; The embedded controller is used to determine the validity of the operating parameters, and the embedded controller is also used to analyze and process the operating parameters to generate the processing data; The memory is used to store the operating parameters and the processing data.

[0012] In some embodiments, the data validity determination includes the following steps: Set standard values ​​and historical data; The operating parameter is compared with the standard value and the historical data. If the comparison result of the operating parameter with any one of the standard value and the historical data does not meet the requirements, the operating parameter is re-acquired.

[0013] In some embodiments, the operating parameters are classified according to date, mining area location, and mining shift, and the processed data includes operating condition records and data analysis forms.

[0014] In some embodiments, the monitoring operation terminal includes a visualization interface and an operation console, wherein the visualization interface is used to visualize the processing data, and the operation console is used for the operator to edit the processing data and issue decision instructions.

[0015] Beneficial effects: The thin coal seam working face working condition monitoring method of the embodiment of the present invention can realize the intelligent monitoring of the thin coal seam mining working face, and the monitoring accuracy and efficiency are high, which fully guarantees the continuity and safety of thin coal seam mining. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 It is an operation block diagram of the monitoring system according to an embodiment of the present invention.

[0017] Figure 2 It is a logic block diagram of the monitoring method according to an embodiment of the present invention.

[0018] Figure 3 It is a schematic diagram of the structure of an integrated sensor according to an embodiment of the present invention.

[0019] Reference numerals: 1-Integrated sensor; 2-Explosion-proof housing. DETAILED DESCRIPTION

[0020] Embodiments of the present invention are described in detail below, and examples of the embodiments are shown in the accompanying drawings. The embodiments described below with reference to the accompanying drawings are exemplary and intended to be used to explain the present invention, but should not be understood as limiting the present invention.

[0021] The method for monitoring the working condition of a thin coal seam working face in an embodiment of the present invention is implemented based on a monitoring system, such as Figure 1As shown, the monitoring system includes a data acquisition unit, a data transmission unit, a data processing unit and a monitoring operation terminal, wherein the data acquisition unit includes an integrated sensor 1 (integrated sensor 1), a pressure displacement sensor (cylinder pressure-displacement measurement) and a visual measurement device.

[0022] The data acquisition unit and the data transmission unit are both arranged at at least one of the three machines of the working face, which include a coal mining machine, a scraper conveyor and a hydraulic support. Specifically, the coal mining machine, the scraper conveyor and the hydraulic support can all be equipped with data acquisition units, while the data transmission unit can be only installed on a part of the coal mining machine, the scraper conveyor and the hydraulic support.

[0023] The data processing unit can be installed underground, specifically at the working face, or in a mining tunnel, a chamber, etc. The monitoring operation terminal can be arranged in a control room, a chamber, etc. on the ground.

[0024] like Figure 1 and Figure 2 As shown, the monitoring method comprises the following steps: After the thin coal seam working face starts mining, the data acquisition unit is used to monitor and collect the operating parameters of the three machines of the working face. For example, after the thin coal seam working face starts mining, the working condition monitoring system of the thin coal seam working face is started, and the monitoring operation terminal of the monitoring system can send control instructions to the integrated sensor 1, the visual measurement device and the pressure displacement sensor of the data acquisition unit, thereby each sensor starts data collection.

[0025] The collected operating parameters are transmitted to the data processing unit by using the data transmission unit. Specifically, the data transmission unit may be a wireless transmission unit, a wired transmission unit, etc., and the operating parameters collected by the data collection unit may be transmitted to the data processing unit via the data transmission unit.

[0026] The data processing unit is used to judge the data validity of the acquired operating parameters. If the operating parameters do not meet the requirements, the operating parameters are acquired again. Specifically, after receiving the above operating parameters, the data processing unit can compare and judge the operating parameters according to the preset condition threshold. If there is a large deviation in the operating parameters, it can be said that there is a large error in the operating parameters. At this time, the data acquisition unit can transmit the received operating parameters to the data processing unit again, so as to avoid the deviation of the operating parameters during the transmission process.

[0027] If the transmitted operating parameters still do not meet the requirements, the operating parameters can be collected again through the data collection unit, and then the latest operating parameters can be transmitted to the data processing unit.

[0028] If the operating parameters meet the requirements, the operating parameters are analyzed and processed, and the analysis and processing method includes classifying the operating parameters and generating processing data. Specifically, the operating parameters can be classified by considering factors such as time and shift, and the classified operating parameters can be analyzed and sorted to generate processing data, which can be presented in the form of tables, text descriptions, etc.

[0029] The processed data is transmitted to the monitoring operation terminal, which is used to visualize the processed data. The operator makes decisions based on the visualized processed data, which facilitates timely correction and guidance of the mining of thin coal seam working faces.

[0030] Compared with the monitoring method using manual means in the prior art, the thin coal seam working face working condition monitoring method of the embodiment of the present invention realizes intelligent monitoring of the thin coal seam mining working face. Before analysis and processing, the validity of the obtained operating parameters will be judged to avoid misjudgment of the operating parameters, thereby ensuring the accuracy and efficiency of monitoring, thereby fully guaranteeing the continuity and safety of thin coal seam mining.

[0031] In some embodiments, there are multiple integrated sensors 1, and the multiple integrated sensors 1 are respectively arranged at the lower end of the rocker arm of the coal mining machine, the middle trough side plate of the scraper conveyor and the middle of the top beam of the hydraulic support, thereby facilitating the simultaneous monitoring of the three machines on the working face.

[0032] There are multiple pressure displacement sensors, which are installed in the jacks of the scraper conveyor and the hydraulic support. Specifically, the pressure displacement sensor can be installed at the bottom of the cylinder jack of the hydraulic support and the push jack of the scraper conveyor. This can monitor the telescopic displacement of the jack and the internal hydraulic pressure.

[0033] The visual measurement device is installed in the middle of the top beam of the hydraulic support, above the traction part of the coal mining machine, and the head power part of the scraper conveyor. Specifically, the visual measurement device can obtain the corresponding image through image acquisition, and then analyze the working environment according to the image and generate the corresponding environmental operating parameters.

[0034] In some embodiments, the above-mentioned operating parameters include the relative posture parameters of the three machines, the moving state parameters of the three machines, the vibration intensity parameters of the local positions of the three machines, the dust density parameters in the space, and the pushing distance parameters collected by the integrated sensor 1.

[0035] The operating parameters also include jack action stroke parameters, emulsion pressure parameters, jack action speed parameters, and jack action acceleration parameters collected by the pressure displacement sensor.

[0036] The operating parameters also include the distribution position parameters of the hydraulic support in the working face collected by the visual measurement device, the working position parameters of the scraper conveyor, the action posture parameters of the coal mining machine, the coal wall state parameters, the opening and closing angle parameters of the side guard plates, the coal flow movement state parameters, and the smoke and dust parameters of the gangue and working face.

[0037] In some embodiments, Figure 3 As shown, the integrated sensor 1 includes an explosion-proof housing 2 and a plurality of monitoring modules assembled in the explosion-proof housing 2, wherein the plurality of monitoring modules may be a height measurement module, an inclination measurement module, a triaxial acceleration measurement module, a dust detection module, a vibration detection module, a temperature measurement module, a UWB module, a signal acquisition module, etc. Thus, the integrated arrangement of the plurality of monitoring modules is realized, which is conducive to simplifying the installation arrangement.

[0038] In some embodiments, the visual measurement device includes multiple RGBD cameras and visible light camera modules, thereby meeting the use needs of visual monitoring.

[0039] In some embodiments, the data transmission unit includes a distributed signal transceiver terminal and a mine intrinsically safe switch, and the distributed signal transceiver terminal is mounted on the controller end of the hydraulic support, the electrical part of the coal mining machine, and the head or tail of the scraper conveyor. When in use, the distributed signal transceiver terminal can realize the transmission and reception of the collected operating parameters, etc., thereby meeting the use needs of the transmission.

[0040] There are multiple mine intrinsically safe switches, which are arranged at intervals along the working surface, and a set number of hydraulic supports are spaced between two adjacent mine intrinsically safe switches. The mine intrinsically safe switches meet the use needs of providing electrical signal paths for local areas. Specifically, the mine intrinsically safe switches can be evenly distributed and installed at a distance of 5 hydraulic supports each, thereby meeting the use needs of electrical signal paths within the distance range of 5 hydraulic supports.

[0041] In some embodiments, the scraper conveyor and the hydraulic support are both laid with leaky cables, and the leaky cables are equipped with cellular base stations to construct antennas. For example, a leaky cable is laid in the cable trough of the scraper conveyor and in the hose harness of the hydraulic support, and a micro-sized cellular base station is configured respectively, thereby overcoming the problem of difficulty in wireless signal transmission caused by uneven working surface of thin coal seams, large ups and downs, and many obstructions through uniform coverage of small signal multi-point antennas.

[0042] In some embodiments, the data processing unit includes an embedded controller and a memory, wherein the embedded controller is used to determine the validity of the operating parameters, and the embedded controller is also used to analyze and process the operating parameters to generate processing data. The memory is used to store the operating parameters and the processing data.

[0043] In some embodiments, data validity determination includes the following steps: A1: Set standard values ​​and historical data. For example, standard values ​​can be obtained through mathematical models, laboratory verification and other means, while historical data can be previous mining data.

[0044] A2: Compare the operating parameters with the standard values ​​and historical data. If the comparison result between the operating parameters and any of the standard values ​​and historical data does not meet the requirements, re-acquire the operating parameters.

[0045] For example, the operating parameters can be compared with historical data, and the historical data can be the operating parameters of the last monitoring, or the average value of the operating parameters monitored in the most recent time, etc. If the difference between the operating parameters and the historical data is within a reasonable range, it means that the obtained operating parameters are valid, and at this time, the next step of analysis and processing can be performed based on the operating parameters.

[0046] In some embodiments, the operating parameters are classified according to date, mining area location, and mining shift, and the processed data includes operating condition records and data analysis forms.

[0047] In some embodiments, the monitoring operation terminal includes a visualization interface and an operation console. The visualization interface is used to visualize the processing data. The visualization interface can specifically be a display screen, etc. The operation console is used for operators to edit the processing data and issue decision instructions.

[0048] A specific example of the method for monitoring working conditions of a thin coal seam working face according to an embodiment of the present invention is described below.

[0049] The monitoring method of the embodiment of the present invention is implemented based on a monitoring system, which includes a data acquisition unit, a data transmission unit, a data processing unit and a monitoring operation terminal.

[0050] The data acquisition unit is used to collect the operating status data of the three equipments on the working face and the surrounding environment data. The data transmission unit includes a distributed signal transceiver terminal, wireless communication cables and equipment on the working face, and a mine-used intrinsically safe switch, which together form an anti-disturbance communication system for the working face. The data processing unit includes an embedded controller and a memory, which is responsible for data processing and analysis; the monitoring operation terminal includes a visual interface and an operation console, which realizes the intuitive display and operation of the working face working condition data.

[0051] The data acquisition unit is composed of an integrated sensor 1, a visual measurement device and a pressure displacement sensor. The integrated sensor 1 and the pressure displacement sensor are used to collect the operating status data of the three machines on the working face, monitor the relative motion state of the hydraulic support, the coal mining machine and the scraper conveyor during mining and their relative position to the working face, and the visual measurement device is used to detect the mining conditions of the coal mining machine, the movement state of the coal flow and collect the working face environment data.

[0052] The integrated sensor 1 is composed of a height measurement module, an inclination measurement module, a three-axis acceleration measurement module, a dust detection module, a vibration detection module, a temperature measurement module, a UWB module, a signal acquisition module and an explosion-proof casing 2. It can integrate the data monitoring functions required for monitoring the operating status of three machines on the working face into the same device body. The specific functions include: height measurement, inclination measurement, three-axis acceleration measurement, dust measurement, vibration measurement, temperature measurement and UWB ranging substation function.

[0053] The integrated sensor 1 is respectively mounted on the middle part of the top beam of the hydraulic support, the middle trough side plate of the scraper conveyor and the lower end of the rocker arm of the coal mining machine, so as to realize real-time measurement of the relative posture, moving state, local vibration intensity, spatial dust density and advancement distance of the hydraulic support, scraper conveyor and coal mining machine during the mining process of the thin coal seam working face.

[0054] The pressure displacement sensor is mounted on the bottom of the cylinder jack of the hydraulic support and the push jack of the scraper conveyor, and measures data such as the jack's action stroke, emulsion pressure, jack's action speed and acceleration without occupying additional space. The obtained data is used to analyze the posture relationship and load status of the hydraulic support, scraper conveyor and coal mining machine.

[0055] The visual measurement device is composed of multiple RGBD cameras and visible light camera modules, which are installed in the middle of the top beam of the hydraulic support, above the traction part of the coal mining machine and the power part of the head of the scraper conveyor. The visual measurement device is used to detect the distribution position of the hydraulic support in the working face, the working position of the scraper conveyor, the action posture of the coal mining machine, the state of the coal wall, the opening and closing angle of the side guard plate, the movement state of the coal flow, the smoke and dust conditions of the gangue and the working face. The collected visual data is transmitted to the data processing unit for analysis and processing via the data transmission unit.

[0056] The data transmission unit is composed of a distributed signal transceiver terminal, wireless communication cables and equipment for the working face, and a mine intrinsically safe switch. The distributed signal transceiver terminal is installed at the hydraulic support controller end, the electrical part of the coal mining machine, and the head and tail of the scraper conveyor. The mine intrinsically safe switch is evenly distributed and installed at intervals of 5 hydraulic supports. A leaky cable is laid in the cable trough of the scraper conveyor and the hose harness of the hydraulic support, and a micro-small cellular base station is configured respectively. The small signal multi-point antenna is used to evenly cover the thin coal seam working face. The difficulty of wireless signal transmission caused by the unevenness, large ups and downs, and many obstructions.

[0057] The data processing unit is composed of an embedded controller and a memory. After receiving the data collected and sent by the data transmission unit, the embedded controller calculates the relative posture, movement status, straightness of the scraper conveyor, coal flow transportation status and coal cutting advancement distance of the hydraulic support, scraper conveyor and coal mining machine, and outputs the operation status results of the three machines; analyzes and judges the coal wall status, spalling degree and spatial dust density of the working face, and outputs the working face working condition analysis results.

[0058] At the same time, the output results are automatically classified and stored according to categories such as date, mining area location, mining shift, etc. to generate working condition records. Specifically, the classified working condition record data types include key information such as the working face mining date, mining shift (coal cutting / maintenance), comprehensive mining team personnel information, and the mining area location of the working face. The working condition records are in CSV format and electronic text format, and the data analysis form is in CSV format and electronic image format.

[0059] The monitoring operation terminal is composed of a visual interface and an operation console. The monitoring operation terminal visualizes the three-machine equipment status data and the working surface condition data output by the data processing unit, realizes the intuitive display of the working surface condition data, and facilitates the operator to perform remote remote operation monitoring and emergency response.

[0060] The specific steps in use include: a. After the mining operation starts, the thin coal seam working face working condition monitoring system starts and sends control instructions to the integrated sensor 1, visual measurement device and pressure displacement sensor of the data acquisition unit, and each sensor starts data acquisition; b. The sensor transmits the collected data to the data processing unit through the data transmission unit, and the data processing unit performs subsequent analysis and processing; c. The data processing unit calculates the operating status of the hydraulic support, scraper conveyor and coal mining machine, including the relative posture, movement status, scraper conveyor straightness, coal flow transportation status and coal cutting advancement distance, and analyzes and judges the mining conditions such as the coal wall status, spalling degree, and dust density in the working face; d. The data processing unit makes analogical judgments on the acquired operating status of the three equipment and the working surface condition analysis results, compares the standard value with the historical data, and determines whether the data is abnormal. If the data is invalid, the data is re-obtained for calculation and analysis. If the data is valid, the results are output; e. The monitoring operation terminal receives the data output by the data processing unit for visual display, which is convenient for operators to conduct remote monitoring and emergency response; f. Operators make operational decisions and remote operations based on the content displayed on the monitoring operation terminal.

[0061] The embodiment of the present invention provides a system and method for monitoring the working condition of a thin coal seam working face. By using automated monitoring and signal transmission technology instead of on-site visual monitoring, intelligent monitoring of the working condition of the thin coal seam working face is realized. The system includes: a data acquisition unit, a data transmission unit, a data processing unit and a monitoring operation terminal. The data acquisition unit is used to collect the operating status data of the three equipments on the working face and the surrounding environment data; the data transmission unit realizes the stable transmission of the data of each module in the harsh environment of the thin coal seam working face; the data processing unit performs data processing and analysis, and outputs the operating status results of the three equipments and the working face working condition analysis results; the monitoring operation terminal realizes the intuitive display of the working face working condition data. The four components work together to form a thin coal seam working face working condition monitoring system. The system can adapt to the environmental characteristics and working condition monitoring requirements of the thin coal seam working face, and can effectively improve the accuracy and efficiency of the working condition monitoring of the thin coal seam working face.

[0062] Compared with the prior art, the present invention has the following specific advantages: 1) This method realizes the real-time monitoring of the operating status of the three equipment and the working conditions of the thin coal seam working face in the coal mine, and solves the signal transmission problem caused by the harsh environment of the thin coal seam working face by distributing the data transmission units; 2) An integrated design and layout method for condition monitoring sensors is proposed, which reduces the space occupied by the sensors while ensuring that the sensors can stably obtain the data required for monitoring; 3) This method enables the thin coal seam working face to have the ability of automated working condition monitoring, which solves the practical problem that the thin coal seam working face has a small space that is difficult to observe manually and cannot be operated on site, and provides technical support for the development of unmanned working faces.

[0063] Although the above embodiments have been shown and described, it is to be understood that the above embodiments are exemplary and are not to be construed as limitations on the present invention. Changes, modifications, substitutions and variations of the above embodiments by those of ordinary skill in the art are all within the scope of protection of the present invention.

Claims

1. A method for monitoring working conditions of a thin coal seam working face, characterized in that: Based on the monitoring system, the monitoring system includes a data acquisition unit, a data transmission unit, a data processing unit and a monitoring operation terminal. The data acquisition unit and the data transmission unit are both arranged at at least one of the three machines of the working face, and the three machines of the working face include a coal mining machine, a scraper conveyor and a hydraulic support; The monitoring method comprises the following steps: After the mining operation starts at the thin coal seam working face, the operating parameters of the three machines at the working face are monitored and collected using the data acquisition unit; Using the data transmission unit to transmit the collected operating parameters to the data processing unit; Using the data processing unit to judge the data validity of the acquired operating parameters, if the operating parameters do not meet the requirements, re-acquire the operating parameters, if the operating parameters meet the requirements, analyze and process the operating parameters, and the analysis and processing method includes classifying the operating parameters and generating processing data; The processed data is transmitted to the monitoring operation terminal, and the processed data is visually displayed by the monitoring operation terminal, and the operator makes a decision based on the visually displayed processed data; The data acquisition unit includes an integrated sensor, a pressure displacement sensor and a visual measurement device; The integrated sensor is arranged at the lower end of the rocker arm of the coal mining machine, the middle trough side plate of the scraper conveyor and the middle part of the top beam of the hydraulic support; The pressure displacement sensor is loaded in the jack of the scraper conveyor and / or the hydraulic support; The visual measuring device is mounted on the middle part of the top beam of the hydraulic support, above the traction part of the coal mining machine and on the head power part of the scraper conveyor.

2. The method for monitoring working conditions of a thin coal seam working face according to claim 1, characterized in that: The operating parameters include: The integrated sensor collects the relative posture parameters of the three machines, the movement state parameters of the three machines, the vibration intensity parameters of the local positions of the three machines, the dust density parameters in the space, and the pushing distance parameters of the three machines; The jack action stroke parameter, emulsion pressure parameter, jack action speed parameter, and jack action acceleration parameter collected by the pressure displacement sensor; The visual measurement device collects the distribution position parameters of the hydraulic support in the working face, the working position parameters of the scraper conveyor, the action posture parameters of the coal mining machine, the coal wall state parameters, the opening and closing angle parameters of the side guard plate, the coal flow movement state parameters, and the gangue and working face smoke and dust parameters.

3. The method for monitoring working conditions of a thin coal seam working face according to claim 1, characterized in that: The integrated sensor includes an explosion-proof housing and a height measurement module, an inclination measurement module, a three-axis acceleration measurement module, a dust detection module, a vibration detection module, a temperature measurement module, a UWB module, and a signal acquisition module assembled in the explosion-proof housing; And / or, the visual measurement device includes multiple RGBD cameras and visible light camera modules.

4. The method for monitoring working conditions of a thin coal seam working face according to claim 1, characterized in that: The data transmission unit includes a distributed signal transceiver terminal and a mine-used intrinsically safe switch; The distributed signal transceiver terminal is mounted on the controller end of the hydraulic support, the electrical part of the coal mining machine, and the head or tail of the scraper conveyor; There are multiple intrinsically safe mine switches, and the multiple intrinsically safe mine switches are arranged at intervals along the working surface, and a set number of hydraulic supports are spaced between two adjacent intrinsically safe mine switches.

5. The method for monitoring working conditions of a thin coal seam working face according to claim 4, characterized in that: The scraper conveyor and the hydraulic support are both paved with leaky cables, and the leaky cables are equipped with cellular base stations to construct antennas.

6. The method for monitoring working conditions of a thin coal seam working face according to claim 1, characterized in that: The data processing unit includes an embedded controller and a memory; The embedded controller is used to determine the validity of the operating parameters, and the embedded controller is also used to analyze and process the operating parameters to generate the processing data; The memory is used to store the operating parameters and the processing data.

7. The method for monitoring working conditions of a thin coal seam working face according to claim 1, characterized in that: The data validity judgment comprises the following steps: Set standard values ​​and historical data; The operating parameter is compared with the standard value and the historical data. If the comparison result of the operating parameter with any one of the standard value and the historical data does not meet the requirements, the operating parameter is re-acquired.

8. The method for monitoring working conditions of a thin coal seam working face according to claim 1, characterized in that: The operating parameters are classified according to date, mining area location, and mining shift, and the processed data includes operating condition records and data analysis forms.

9. The method for monitoring working conditions of a thin coal seam working face according to any one of claims 1 to 8, characterized in that: The monitoring operation terminal includes a visualization interface and an operation console, wherein the visualization interface is used to visualize the processing data, and the operation console is used for the operator to edit the processing data and issue decision instructions.

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