Coal seam gas monitoring and early warning device for mine

Abstract

The invention discloses a coal seam gas monitoring and early warning device for a mine, which relates to the technical field of coal seam gas monitoring and comprises a gas monitoring and early warning device, a data acquisition and transmission module, a data processing module, an alarm and display module, a data storage and management module and a power supply module, the data acquisition and transmission module senses gas information in a mine through a sensor and transmits the gas information to the data processing and analysis module, and the data processing module further processes the transmitted data through a microprocessor installed on the back wall of the gas monitoring and early warning device. The alarm and display module carries out analysis and early warning on the mine coal seam gas condition in a multi-parameter fusion early warning mode. According to the method, a multi-parameter fusion early warning model is established, multiple factors such as the gas concentration, the emission amount, the change trend, the temperature, the humidity and the wind speed are comprehensively considered, and technologies such as big data analysis and an artificial intelligence algorithm are applied, so that the early warning accuracy and reliability are improved.

Description

Technical Field

[0001] The invention relates to the technical field of coal seam gas monitoring, and in particular to a coal seam gas monitoring and early warning device used in a mine. Background Art

[0002] During the coal mining process, operations such as coal cutting by coal mining machines and transportation by scraper conveyors will cause a large amount of gas to gush out. At this time, a gas monitoring and early warning device is needed to dynamically monitor the gas in the coal mining face to ensure that the gas concentration is within a safe range, to ensure the normal operation of the coal mining equipment and the life safety of the operators. The existing monitoring and early warning devices are difficult to integrate multiple factors for early warning analysis, and thus it is difficult to ensure the accuracy and reliability of the early warning.

[0003] The defects of the existing coal seam gas monitoring and early warning device are: 1. Patent document CN107605536B discloses a real-time early warning device and method for coal and gas outburst based on multi-source information fusion. It mainly considers the differences in outburst sensitivity indicators and the different characteristics of prediction methods for different mine outburst hazards. After conducting diagnostic evaluation based on outburst precursors and equipment monitoring and manual patrol detection information from different information sources, it uses information fusion theory and time-space coupling mechanism to conduct real-time prediction of multi-source information fusion, but does not consider how to comprehensively consider multiple factors for early warning analysis to improve the accuracy and reliability of early warning. 2. Patent document CN101718212B discloses a device for real-time tracking and early warning of coal and gas outburst hazards in mines. It mainly considers how to solve the problem that ground stress in coal and gas outburst cannot be monitored in real time, but does not consider how to eliminate the impact of environmental factors on gas monitoring data; 3. The existing coal seam gas monitoring and early warning devices are difficult to effectively isolate the vibrations generated by mine blasting and mechanical operations, and the devices have weak shock and earthquake resistance capabilities; 4. When the existing coal seam gas monitoring and early warning device is collecting data, if a sensor fails, it will cause the collection module to be paralyzed, thereby affecting the reliability of monitoring and early warning. Summary of the invention

[0004] The purpose of the present invention is to provide a coal seam gas monitoring and early warning device for use in a mine to solve the problems raised in the above-mentioned background technology.

[0005] To achieve the above-mentioned purpose, the present invention provides the following technical solutions: a coal seam gas monitoring and early warning device for a mine, comprising a gas monitoring and early warning device, a data acquisition and transmission module, a data processing module, an alarm and display module, a data storage and management module and a power supply module, wherein the data acquisition and transmission module uses a sensor to sense gas information in the mine and transmits it to the data processing and analysis module, the data processing module uses a microprocessor installed on the back wall of the gas monitoring and early warning device to further process the transmitted data, the alarm and display module uses a multi-parameter fusion early warning method to analyze and warn the coal seam gas situation in the mine, the data storage and management module is responsible for storing and managing all data in the entire data processing and analysis process, and recording the alarm information of the alarm and display module, and the power supply module is responsible for providing a stable power supply for the gas monitoring and early warning device; The alarm and display module includes a multi-parameter fusion analysis submodule, a model analysis submodule, an alarm submodule and a display submodule. The multi-parameter fusion analysis submodule adopts data fusion technology to fuse the processed multi-parameter data to form a comprehensive feature vector and perform correlation analysis. The model analysis submodule selects a model according to the characteristics and needs of gas disaster warning, and trains, updates and evaluates the performance of the model. The alarm submodule includes threshold setting, warning judgment and warning release. The threshold setting sets a dynamically adjustable threshold in combination with the results of multi-parameter fusion analysis. The warning judgment compares the fused data and analysis results with the set threshold in real time to determine whether data abnormalities occur. Once it is determined that the data is abnormal, the warning release immediately sends the detailed information of the warning to the display submodule.

[0006] Preferably, the data processing module includes a data preprocessing submodule, an environmental parameter compensation submodule and a feature extraction submodule. The data preprocessing submodule is used to clean, standardize and filter the input multi-parameter data. The environmental parameter compensation submodule includes a compensation model library unit, a real-time calculation unit and a model update unit. The compensation model library unit is used to store environmental parameter compensation models established based on theoretical analysis and actual data. The real-time calculation unit selects a suitable compensation model and performs real-time calculation according to the real-time input gas concentration and environmental parameter data to obtain compensated gas concentration data. The model update unit regularly trains and optimizes the compensation model according to the newly accumulated data and changes in the actual situation of the mine. The feature extraction submodule calculates statistical features based on the compensated gas concentration data, and extracts features from the time series perspective and frequency perspective respectively.

[0007] Preferably, a shock absorbing assembly is installed on the back of the gas monitoring and early warning device, and the shock absorbing assembly includes a bearing platform on the back of the gas monitoring and early warning device, and air springs and spring shock absorbers are evenly arranged on the front of the bearing platform. The spring shock absorber is located on the inner side of the air spring, and the front of the air spring is in contact with the back of the gas monitoring and early warning device. A rubber shock absorbing pad is installed on the front of the spring shock absorber, and the front of the rubber shock absorbing pad is in contact with the back of the gas monitoring and early warning device.

[0008] Preferably, the sensors include a gas desorption sensor, an acoustic emission sensor, an electromagnetic radiation sensor, and a temperature sensor, a gas sensor, a humidity sensor, a wind speed sensor and a pressure sensor embedded in the inner walls on both sides of the gas monitoring and early warning device. The pressure sensor is located below the wind speed sensor, the wind speed sensor is located below the humidity sensor, the humidity sensor is located below the gas sensor, and the gas sensor is located below the temperature sensor.

[0009] Preferably, a box door is movably installed on the front of the gas monitoring and early warning device, and rubber sealing rings are installed at the gap between the box door and the gas monitoring and early warning device and at the gap between the sensor and the gas monitoring and early warning device.

[0010] Preferably, the power supply module includes a main power supply and a backup power supply. The main power supply is connected to the power supply system of the mine to provide a stable power supply for the gas monitoring and early warning device. When the main power supply fails or there is a power outage, the backup power supply is powered by a battery installed on the bottom wall of the gas monitoring and early warning device.

[0011] Preferably, an alarm device is installed on the top wall of the gas monitoring and early warning device, and the alarm device is used to emit sound and light alarm signals. A power interface is installed on one side outer wall of the gas monitoring and early warning device, and the power interface is used to connect to the power supply system. The power interface is located on the lower side of the pressure sensor.

[0012] Preferably, mounting blocks are installed on both sides of the bearing platform, and limiting holes are provided inside the mounting blocks. Fixing holes are provided at the four corners of the bearing platform, and the fixing holes are located on the periphery of the air spring.

[0013] Preferably, the data acquisition and transmission module includes data acquisition and data transmission. The data acquisition is responsible for collecting real-time data detected by the sensor, and performing preliminary processing and conversion of the data into a digital signal form that can be transmitted and processed. The data transmission includes wired transmission and wireless transmission. The wireless transmission includes a wireless transmission device installed on the top wall of the gas monitoring and early warning device.

[0014] Preferably, the display submodule includes an alarm device, a mobile phone, a monitoring system interface and a display screen installed on the front side of the box door.

[0015] Compared with the prior art, the present invention has the following beneficial effects: 1. The present invention establishes a multi-parameter fusion early warning model, comprehensively considers multiple factors such as gas concentration, outflow volume, change trend, temperature, humidity, wind speed, etc., and uses big data analysis, artificial intelligence algorithm and other technologies to improve the accuracy and reliability of early warning.

[0016] 2. The present invention uses theoretical analysis and data mining technology to establish a relationship model between gas concentration and environmental parameters such as temperature, humidity, and pressure based on the physical and chemical properties of gas under different environmental conditions and a large amount of actual monitoring data, and stores a variety of environmental parameter compensation models based on theoretical analysis and actual data in a compensation model library. First, a suitable compensation model is selected, and then the gas concentration data and environmental parameter data transmitted by the real-time data acquisition module are input into the compensation model for calculation to obtain the gas concentration data after environmental parameter compensation. The measurement data of the device is automatically compensated and corrected to eliminate or reduce the impact of environmental factors on the gas monitoring data.

[0017] 3. The present invention can effectively isolate the vibrations generated by mine blasting, mechanical operations, etc. by installing the gas monitoring and early warning device on the shock absorbing assembly, reduce the vibrations transmitted to the device, and improve the impact and earthquake resistance of the gas monitoring and early warning device.

[0018] 4. The present invention arranges these sensors in different positions through redundant design to comprehensively obtain environmental information of different areas in the mine. When a sensor fails, other redundant sensors can continue to work to ensure that the system can continuously acquire data and operate normally. The acquisition module will not be paralyzed due to the failure of a single sensor. By increasing the number of sensors, the possibility of system failure due to sensor failure can be effectively reduced, the overall reliability of the system can be improved, and the influence of electromagnetic interference on the sensor can be prevented. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Figure 1 It is a schematic diagram of the three-dimensional structure of the present invention; Figure 2 It is a three-dimensional structural schematic diagram of the shock absorbing assembly of the present invention; Figure 3 It is a schematic cross-sectional structure diagram of the gas monitoring and early warning device of the present invention; Figure 4 It is a schematic diagram of the side cross-sectional structure of the gas monitoring and early warning device of the present invention; Figure 5 is a system diagram of the present invention; Figure 6 It is a structural diagram of the data processing module of the present invention; Figure 7 It is a structural diagram of the data acquisition and transmission module of the present invention.

[0020] In the figure: 1. Gas monitoring and early warning device; 2. Box door; 3. Display screen; 4. Carrying platform; 5. Mounting block; 6. Limiting hole; 7. Fixing hole; 8. Air spring; 9. Spring shock absorber; 10. Rubber shock pad; 11. Alarm device; 12. Temperature sensor; 13. Gas sensor; 14. Humidity sensor; 15. Wind speed sensor; 16. Pressure sensor; 17. Battery; 18. Microprocessor; 19. Wireless transmission device; 20. Rubber sealing ring; 21. Power interface. DETAILED DESCRIPTION

[0021] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0022] In the description of the present invention, it should be noted that the terms "upper", "lower", "inner", "outer", "front end", "rear end", "two ends", "one end", "the other end" and the like indicate positions or positional relationships based on the positions or positional relationships shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as limiting the present invention. In addition, the terms "first" and "second" are used for descriptive purposes only and cannot be understood as indicating or implying relative importance.

[0023] In the description of the present invention, it should be noted that, unless otherwise clearly specified and limited, the terms "installed", "provided with", "connected", etc. should be understood in a broad sense. For example, "connected" 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 ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances. Example

[0024] See also Figure 1 and Figure 5, an embodiment provided by the present invention: a coal seam gas monitoring and early warning device for a mine, comprising a gas monitoring and early warning device 1, a data acquisition and transmission module, a data processing module, an alarm and display module, a data storage and management module and a power supply module, the data acquisition and transmission module uses a sensor to sense gas information in the mine and transmits it to the data processing and analysis module, the data processing module uses a microprocessor 18 installed on the back wall of the gas monitoring and early warning device 1 to further process the transmitted data, the alarm and display module uses a multi-parameter fusion early warning method to analyze and warn the coal seam gas situation in the mine, the data storage and management module is responsible for storing and managing all data in the entire data processing and analysis process, and recording the alarm information of the alarm and display module, and the power supply module is responsible for providing a stable power supply for the gas monitoring and early warning device 1; The alarm and display module includes a multi-parameter fusion analysis submodule, a model analysis submodule, an alarm submodule and a display submodule. The multi-parameter fusion analysis submodule adopts data fusion technology to fuse the processed multi-parameter data to form a comprehensive feature vector and perform correlation analysis. The model analysis submodule selects a model according to the characteristics and needs of gas disaster warning, and trains, updates and evaluates the performance of the model. The alarm submodule includes threshold setting, warning judgment and warning release. The threshold setting sets a dynamically adjustable threshold in combination with the results of multi-parameter fusion analysis. The warning judgment compares the fusion data and analysis results with the set threshold in real time to determine whether data anomalies occur. Once the data is judged to be abnormal, the warning release immediately sends the detailed information of the warning to the display submodule; The display submodule includes an alarm device 11 , a mobile phone, a monitoring system interface, and a display screen 3 installed on the front side of the box door 2 .

[0025] Furthermore, sensors are first deployed at different locations in the mine, such as coal mining faces, heading tunnels, return air tunnels and other key areas, to collect data such as gas concentration, outflow, temperature, humidity, wind speed and other data in real time, and the collected data is transmitted to the data processing module for processing. After that, an early warning is issued through a multi-parameter fusion early warning method, which comprehensively considers multiple factors such as gas concentration, outflow, change trend, temperature, humidity, wind speed, etc., and uses big data analysis, artificial intelligence algorithms and other technologies to improve the accuracy and reliability of early warnings. In addition, when collecting data, research and monitoring of early signs of gas disasters are added, such as monitoring of gas desorption amount, desorption rate, coal body acoustic emission, and electromagnetic radiation, which can provide early warnings. Capture early signs of gas disasters and realize early warning. The display screen 3 in the display submodule is mainly used to display monitoring data such as gas concentration, temperature, humidity, pressure, and the working status of the device in real time, so as to facilitate on-site inspection by staff. When abnormal changes in gas data are detected, an audible and visual alarm will be issued through the alarm device 11, and text messages will be sent to the mobile phones of relevant personnel at the same time, and a pop-up window will be displayed on the monitoring system interface. Early warning information will be issued through multiple channels to ensure that coal mine staff can receive early warning signals in time. The early warning information should contain detailed early warning content, such as early warning level, gas abnormality parameters, location of occurrence, possible dangerous situations, etc., so that staff can accurately understand the situation and make decisions; Data fusion techniques, such as weighted average fusion and Kalman filter fusion, are used to fuse multi-parameter data after feature engineering processing to form a comprehensive feature vector. Then, the relationship and coupling between different parameters are analyzed. For example, the correlation between gas concentration and parameters such as temperature, humidity, and wind speed is studied to explore the potential laws of gas disasters. According to the characteristics and needs of gas disaster warning, appropriate big data analysis and artificial intelligence algorithm models are selected, such as random forests, support vector machines, recurrent neural networks (RNNs) and their variants, long short-term memory networks (LSTMs). Then, the selected model is trained using historical data, and the model parameters are adjusted to achieve optimal performance. As new data continues to accumulate, the model is regularly updated to adapt to the ever-changing gas disaster situation. The trained model is evaluated using test data, and the performance of the model is measured using indicators such as accuracy, precision, recall, and F1 value. To ensure the accuracy and reliability of the model, according to the coal mine safety production standards and actual experience, combined with the results of multi-parameter fusion analysis, reasonable thresholds are set for various parameters such as gas concentration, outflow, change trend and comprehensive early warning indicators. Taking into account the differences in geological conditions, mining processes and other factors of different coal mines, as well as the dynamic changes in gas conditions during coal mining, the thresholds can be dynamically adjusted to improve the accuracy and adaptability of the early warning, and the fusion data and analysis results output by the multi-parameter fusion analysis submodule are obtained in real time, and compared with the threshold set by the threshold setting unit. When the monitoring data exceeds the corresponding threshold or an abnormal change trend occurs, the early warning mechanism is triggered and an early warning signal is generated. By establishing a multi-parameter fusion early warning model, comprehensive consideration of multiple factors such as gas concentration, outflow, change trend, temperature, humidity, wind speed, etc., the accuracy and reliability of the early warning are improved by using technologies such as big data analysis and artificial intelligence algorithms. Example

[0026] See also Figure 6 An embodiment of the present invention is as follows: a coal seam gas monitoring and early warning device for a mine, wherein a data processing module comprises a data preprocessing submodule, an environmental parameter compensation submodule and a feature extraction submodule, wherein the data preprocessing submodule is used to clean, standardize and filter the input multi-parameter data, and the environmental parameter compensation submodule comprises a compensation model library unit, a real-time calculation unit and a model updating unit, wherein the compensation model library unit is used to store environmental parameter compensation models established based on theoretical analysis and actual data, the real-time calculation unit selects a suitable compensation model and performs real-time calculation according to the real-time input gas concentration and environmental parameter data to obtain compensated gas concentration data, the model updating unit regularly trains and optimizes the compensation model according to the newly accumulated data and the changes in the actual situation of the mine, and the feature extraction submodule calculates statistical features according to the compensated gas concentration data, and extracts features from the perspective of time series and frequency respectively.

[0027] Furthermore, the received multi-parameter data is first cleaned to remove noise, outliers and duplicate data in the collected data to ensure the accuracy and completeness of the data. Then, multi-parameter data of different types and dimensions, such as gas concentration, outflow, temperature, humidity, wind speed, etc., are standardized to make them comparable and convenient for subsequent analysis. Then, the digital filtering method is used to smooth the data to eliminate noise and high-frequency interference in the data, so that the data can better reflect the real physical changes. Then, according to the physicochemical properties of gas under different environmental conditions and a large amount of actual monitoring data, theoretical analysis and data mining techniques are comprehensively used to establish a relationship model between gas concentration and environmental parameters such as temperature, humidity, and pressure, such as multivariate linear regression model, artificial neural network model, nonlinear fitting model, neural network model, etc., and a variety of environmental parameter compensation models based on theoretical analysis and actual data are stored in the compensation model library. First, a suitable compensation model is selected, and then the real-time acquisition data transmitted by the data acquisition module is transmitted. The gas concentration data and environmental parameter data are input into the compensation model for calculation to obtain the gas concentration data after environmental parameter compensation. The measurement data of the device is automatically compensated and corrected to eliminate or reduce the impact of environmental factors on the gas monitoring data. As the mine environment changes and the monitoring data accumulates, new data is collected regularly to train and adjust the compensation model, and the model parameters and structure are continuously optimized so that the compensation model can better adapt to the actual situation and improve the accuracy and reliability of the compensation. In addition, a performance evaluation module can be added during use to evaluate the accuracy, stability, real-time, adaptability and reliability of the compensated data. After that, various statistical characteristics of the compensated gas concentration and environmental parameters are calculated, including mean, variance, standard deviation, and rate of change to reflect the overall characteristics and changing trends of the data. Feature extraction is performed from the perspective of time series and frequency domain to analyze the changes in gas concentration at different times and identify periodic and potential abnormal frequency components in the changes in gas concentration. Example

[0028] See also Figure 1 and Figure 2 , an embodiment provided by the present invention: a coal seam gas monitoring and early warning device for a mine, a shock absorbing assembly is installed on the back of the gas monitoring and early warning device 1, the shock absorbing assembly includes a bearing platform 4 on the back of the gas monitoring and early warning device 1, air springs 8 and spring shock absorbers 9 are evenly arranged on the front of the bearing platform 4, the spring shock absorber 9 is located on the inner side of the air spring 8, the front of the air spring 8 is in contact with the back of the gas monitoring and early warning device 1, a rubber shock absorbing pad 10 is installed on the front of the spring shock absorber 9, and the front of the rubber shock absorbing pad 10 is in contact with the back of the gas monitoring and early warning device 1; Mounting blocks 5 are installed on both sides of the bearing platform 4 , and limiting holes 6 are provided inside the mounting blocks 5 . Fixing holes 7 are provided at the four corners of the bearing platform 4 , and the fixing holes 7 are located on the periphery of the air spring 8 .

[0029] Furthermore, by installing the gas monitoring and early warning device 1 on the shock absorbing assembly, the vibrations generated by mine blasting, mechanical operations, etc. can be effectively isolated, the vibrations transmitted to the device can be reduced, and the impact and earthquake resistance of the gas monitoring and early warning device 1 can be improved. The upper end of the spring shock absorber 9 between the gas monitoring and early warning device 1 and the bearing platform 4 is connected to the gas monitoring and early warning device 1, and the lower end is connected to the bearing platform 4. It is mainly used to undertake vertical vibration buffering and utilize the expansion and contraction of the spring to absorb vibration energy. The rubber shock absorbing pad 10 is installed between the spring shock absorber 9 and the gas monitoring and early warning device 1 to make up for the shortcomings of the spring shock absorber 9 in high-frequency vibration absorption. At the same time, it plays a role in auxiliary fixation and increasing sealing, reducing dust and water vapor from entering the spring shock absorber 9, and working with the spring shock absorber 9 to enhance the overall shock absorbing effect. The spring shock absorber 9 is installed in parallel with the air spring 8, and the air spring 8 is installed at the edge of the bearing platform 4 to provide uniform support and shock absorbing effect. Example

[0030] See also Figure 1 , Figure 3 , Figure 4 and Figure 7 , an embodiment of the present invention: a coal seam gas monitoring and early warning device for a mine, the sensor includes a gas desorption sensor, an acoustic emission sensor, an electromagnetic radiation sensor, and a temperature sensor 12, a gas sensor 13, a humidity sensor 14, a wind speed sensor 15 and a pressure sensor 16 embedded in the inner walls of both sides of the gas monitoring and early warning device 1, the pressure sensor 16 is located below the wind speed sensor 15, the wind speed sensor 15 is located below the humidity sensor 14, the humidity sensor 14 is located below the gas sensor 13, and the gas sensor 13 is located below the temperature sensor 12; A box door 2 is movably installed on the front of the gas monitoring and early warning device 1, and a rubber sealing ring 20 is installed at the gap between the box door 2 and the gas monitoring and early warning device 1 and at the gap between the sensor and the gas monitoring and early warning device 1; The data acquisition and transmission module includes data acquisition and data transmission. Data acquisition is responsible for collecting real-time data detected by the sensor, and preliminarily processes and converts the data into a digital signal form that can be transmitted and processed. Data transmission includes wired transmission and wireless transmission. Wireless transmission includes a wireless transmission device 19 installed on the top wall of the gas monitoring and early warning device 1.

[0031] Furthermore, various sensors are deployed at different locations in the mine, such as coal mining faces, tunneling tunnels, return air tunnels and other key areas, including gas desorption sensors, acoustic emission sensors, electromagnetic radiation sensors, temperature sensors 12, gas sensors 13, humidity sensors 14, wind speed sensors 15 and pressure sensors 16, to collect real-time multi-parameter data related to gas, such as coal seam gas content, coal seam stability, gas disaster risk, gas concentration, humidity, wind speed, pressure, etc. These sensors are arranged in different locations through redundant design to comprehensively obtain environmental information of different areas in the mine. When a sensor fails, other redundant sensors can continue to work to ensure that the system can continuously obtain data and correctly The system can operate normally, and the acquisition module will not be paralyzed due to the failure of a single sensor. Increasing the number of sensors can effectively reduce the possibility of system failure due to sensor failure, improve the overall reliability of the system, and prevent the influence of electromagnetic interference on the sensor. The collected real-time data is preliminarily processed and converted into a digital signal form that can be transmitted and processed, and then the data is transmitted to the data processing module for further processing and analysis. Data transmission includes wired transmission and wireless transmission. Wired transmission often uses optical fiber, cable, etc., which has the characteristics of stable transmission and strong anti-interference ability. Wireless transmission has ZigBee, WiFi, 4G / 5G and other technologies, which can achieve more flexible layout; Gas desorption sensors are fixed in coal seam boreholes or on tunnel walls to monitor the dynamic changes of gas desorption in coal seams in real time. Acoustic emission sensors are arranged in key areas such as coal mining faces and tunneling tunnels to form a sensor network to ensure that the acoustic emission signals generated inside the coal body can be fully received to identify the stress state and damage degree of the coal body. Electromagnetic radiation sensors are installed near coal mining machines, tunneling machines and other equipment and in coal seam tunnels, as close to the coal body as possible to effectively receive electromagnetic radiation signals from the coal body. Combined with the mechanical properties of the coal body and the gas occurrence, the relationship between electromagnetic radiation and gas disasters is established. A joint model is used to judge the potential risk of gas disasters. The temperature sensor 12, gas sensor 13, humidity sensor 14, wind speed sensor 15 and pressure sensor 16 installed in the gas monitoring and early warning device 1 need to extend the detection head out of the gas monitoring and early warning device 1 to directly contact the external environment. Therefore, there will be a joint between the gas monitoring and early warning device 1 and the sensor. A rubber sealing ring 20 is used to seal the joint. At the same time, the joint between the gas monitoring and early warning device 1 and the box door 2 is sealed to ensure that dust and water vapor cannot enter the gas monitoring and early warning device 1. Example

[0032] See also Figure 1 , Figure 3 , Figure 4 and Figure 5, an embodiment provided by the present invention: a coal seam gas monitoring and early warning device for a mine, the power supply module includes a main power supply and a backup power supply, the main power supply is connected to the power supply system of the mine to provide a stable power supply for the gas monitoring and early warning device 1, when the main power supply fails or the power is cut off, the backup power supply is powered by a battery 17 installed on the bottom wall of the gas monitoring and early warning device 1; An alarm device 11 is installed on the top wall of the gas monitoring and early warning device 1, and the alarm device 11 is used to emit sound and light alarm signals. A power interface 21 is installed on one side outer wall of the gas monitoring and early warning device 1, and the power interface 21 is used to connect to the power supply system. The power interface 21 is located on the lower side of the pressure sensor 16.

[0033] Furthermore, the mine's power supply system is connected to the power interface 21 to provide a stable power supply for the gas monitoring and early warning device 1 to ensure its normal operation. However, when the main power supply fails or a power outage occurs, it automatically switches to the backup power supply to provide temporary power support to ensure that the device can continue to work for a period of time, to ensure that data is not lost and the continuity of monitoring is maintained, to ensure that the device can continue to work, and to avoid interruptions in monitoring and early warning. When monitoring data such as gas concentration exceeds a set threshold or a device fails, the alarm device 11 will send out an audible and visual alarm signal to attract the attention of the staff.

[0034] Working principle: First, the sensors are deployed at different locations in the mine, such as coal mining face, heading tunnel, return air tunnel and other key areas, to collect data such as gas concentration, outflow, temperature, humidity, wind speed and so on in real time, and transmit the collected data to the data processing module for processing. By inputting the gas concentration data and environmental parameter data transmitted by the real-time data acquisition module into the compensation model for calculation, the gas concentration data after environmental parameter compensation is obtained, and the measurement data of the device is automatically compensated and corrected to eliminate or reduce the impact of environmental factors on gas monitoring data; Then, an early warning is issued through a multi-parameter fusion early warning method to improve the accuracy and reliability of the early warning. When abnormal changes in gas data are monitored, an audible and visual alarm will be issued through the alarm device 11, and text messages will be sent to the mobile phones of relevant personnel. A pop-up window will appear on the monitoring system interface, and early warning information will be released through multiple channels to ensure that coal mine workers can receive early warning signals in a timely manner.

[0035] It will be apparent to those skilled in the art that the invention is not limited to the details of the exemplary embodiments described above and that the invention can be implemented in other specific forms without departing from the spirit or essential features of the invention. Therefore, the embodiments should be considered exemplary and non-limiting in all respects, and the scope of the invention is defined by the appended claims rather than the foregoing description, and it is intended that all variations falling within the meaning and scope of the equivalent elements of the claims be included in the invention. Any reference numeral in a claim should not be considered as limiting the claim to which it relates.

Claims

1. A coal seam gas monitoring and early warning device for a mine, characterized in that: The invention comprises a gas monitoring and early warning device (1), a data acquisition and transmission module, a data processing module, an alarm and display module, a data storage and management module and a power supply module. The data acquisition and transmission module uses a sensor to sense gas information in the mine and transmits it to the data processing and analysis module. The data processing module uses a microprocessor (18) installed on the back wall of the gas monitoring and early warning device (1) to further process the transmitted data. The alarm and display module uses a multi-parameter fusion early warning method to analyze and warn the gas situation in the coal seam of the mine. The data storage and management module is responsible for storing and managing all data in the entire data processing and analysis process and recording the alarm information of the alarm and display module. The power supply module is responsible for providing a stable power supply for the gas monitoring and early warning device (1); The alarm and display module includes a multi-parameter fusion analysis submodule, a model analysis submodule, an alarm submodule and a display submodule. The multi-parameter fusion analysis submodule adopts data fusion technology to fuse the processed multi-parameter data to form a comprehensive feature vector and perform correlation analysis. The model analysis submodule selects a model according to the characteristics and needs of gas disaster warning, and trains, updates and evaluates the performance of the model. The alarm submodule includes threshold setting, warning judgment and warning release. The threshold setting sets a dynamically adjustable threshold in combination with the results of multi-parameter fusion analysis. The warning judgment compares the fused data and analysis results with the set threshold in real time to determine whether data abnormalities occur. Once it is determined that the data is abnormal, the warning release immediately sends the detailed information of the warning to the display submodule.

2. A coal seam gas monitoring and early warning device for a mine according to claim 1, characterized in that: The data processing module includes a data preprocessing submodule, an environmental parameter compensation submodule and a feature extraction submodule. The data preprocessing submodule is used to clean, standardize and filter the input multi-parameter data. The environmental parameter compensation submodule includes a compensation model library unit, a real-time calculation unit and a model update unit. The compensation model library unit is used to store environmental parameter compensation models established based on theoretical analysis and actual data. The real-time calculation unit selects a suitable compensation model and performs real-time calculation according to the real-time input gas concentration and environmental parameter data to obtain compensated gas concentration data. The model update unit regularly trains and optimizes the compensation model according to the newly accumulated data and changes in the actual situation of the mine. The feature extraction submodule calculates statistical features based on the compensated gas concentration data, and extracts features from the time series perspective and frequency perspective respectively.

3. The coal seam gas monitoring and early warning device for a mine according to claim 1, characterized in that: A shock absorbing assembly is installed on the back of the gas monitoring and early warning device (1), and the shock absorbing assembly includes a bearing platform (4) on the back of the gas monitoring and early warning device (1), and air springs (8) and spring shock absorbers (9) are evenly arranged on the front of the bearing platform (4), and the spring shock absorber (9) is located on the inner side of the air spring (8), and the front of the air spring (8) is in contact with the back of the gas monitoring and early warning device (1), and a rubber shock absorbing pad (10) is installed on the front of the spring shock absorber (9), and the front of the rubber shock absorbing pad (10) is in contact with the back of the gas monitoring and early warning device (1).

4. The coal seam gas monitoring and early warning device for a mine according to claim 1, characterized in that: The sensors include a gas desorption sensor, an acoustic emission sensor, an electromagnetic radiation sensor, and a temperature sensor (12), a gas sensor (13), a humidity sensor (14), a wind speed sensor (15), and a pressure sensor (16) embedded in the inner walls of both sides of the gas monitoring and early warning device (1). The pressure sensor (16) is located below the wind speed sensor (15), the wind speed sensor (15) is located below the humidity sensor (14), the humidity sensor (14) is located below the gas sensor (13), and the gas sensor (13) is located below the temperature sensor (12).

5. The coal seam gas monitoring and early warning device for a mine according to claim 1 is characterized in that: A box door (2) is movably mounted on the front of the gas monitoring and early warning device (1), and a rubber sealing ring (20) is mounted at the gap between the box door (2) and the gas monitoring and early warning device (1) and at the gap between the sensor and the gas monitoring and early warning device (1).

6. The coal seam gas monitoring and early warning device for a mine according to claim 1, characterized in that: The power supply module comprises a main power supply and a backup power supply. The main power supply is connected to the power supply system of the mine to provide a stable power supply for the gas monitoring and early warning device (1). When the main power supply fails or a power outage occurs, the backup power supply is powered by a storage battery (17) installed on the bottom wall of the gas monitoring and early warning device (1).

7. The coal seam gas monitoring and early warning device for a mine according to claim 4, characterized in that: An alarm device (11) is installed on the top wall of the gas monitoring and early warning device (1), and the alarm device (11) is used to emit an audible and visual alarm signal. A power supply interface (21) is installed on one side of the outer wall of the gas monitoring and early warning device (1), and the power supply interface (21) is used to connect to a power supply system. The power supply interface (21) is located below the side of the pressure sensor (16).

8. The coal seam gas monitoring and early warning device for a mine according to claim 3 is characterized in that: Mounting blocks (5) are installed on both sides of the bearing platform (4), and limiting holes (6) are provided inside the mounting blocks (5). Fixing holes (7) are provided at the four corners of the bearing platform (4), and the fixing holes (7) are located on the periphery of the air spring (8).

9. The coal seam gas monitoring and early warning device for a mine according to claim 1, characterized in that: The data acquisition and transmission module includes data acquisition and data transmission. The data acquisition is responsible for collecting real-time data detected by the sensor, and performing preliminary processing and conversion of the data into a digital signal form that can be transmitted and processed. The data transmission includes wired transmission and wireless transmission. The wireless transmission includes a wireless transmission device (19) installed on the top wall of the gas monitoring and early warning device (1).

10. The coal seam gas monitoring and early warning device for a mine according to claim 1, characterized in that: The display submodule comprises an alarm device (11), a mobile phone, a monitoring system interface and a display screen (3) installed on the front of the box door (2).

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