Coal seam gas monitoring and early warning device for mine

Abstract

The application discloses a coal seam gas monitoring and early warning device for a mine, and relates to the technical field of coal seam gas monitoring, which 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 perceives gas information in the mine by using a sensor and transmits the information to the data processing and analysis module. The data processing module further processes the transmitted data by using a microprocessor installed on the back wall of the gas monitoring and early warning device. The alarm and display module analyzes and early warns the coal seam gas condition in the mine by using a multi-parameter fusion early warning mode. The application establishes an early warning model of multi-parameter fusion, comprehensively considers multiple factors such as gas concentration, outflow, change trend, temperature, humidity and wind speed, and uses big data analysis and artificial intelligence algorithm technology to improve the accuracy and reliability of early warning.

Description

Technical Field

[0001] This invention relates to the field of coal seam gas monitoring technology, specifically to a coal seam gas monitoring and early warning device for use in mines. Background Technology

[0002] During coal mining, operations such as coal cutting by coal mining machines and transportation by scraper conveyors can cause a large amount of gas to be released. At this time, gas monitoring and early warning devices are needed to dynamically monitor the gas at the coal mining face to ensure that the gas concentration is within a safe range, so as to protect the normal operation of coal mining equipment and the life safety of workers. Existing monitoring and early warning devices are difficult to integrate multiple factors for early warning analysis, thus making it difficult to guarantee the accuracy and reliability of early warning.

[0003] The existing coal seam gas monitoring and early warning devices have the following shortcomings:

[0004] 1. Patent document CN107605536B discloses a real-time early warning device and method for coal and gas outbursts based on multi-source information fusion. It mainly considers the differences in outburst sensitivity indicators and prediction methods for different mines. After diagnosing and evaluating outburst precursors from different information sources and equipment monitoring and manual inspection information, it uses information fusion theory and spatiotemporal coupling mechanism to perform real-time prediction based on multi-source information fusion. However, it does not consider how to comprehensively consider multiple factors for early warning analysis to improve the accuracy and reliability of the early warning.

[0005] 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 of the inability to monitor ground stress in real time during coal and gas outbursts, but does not consider how to eliminate the influence of environmental factors on gas monitoring data.

[0006] 3. Existing coal seam gas monitoring and early warning devices are difficult to effectively isolate vibrations generated by mine blasting and mechanical operations, and the devices have weak impact and seismic resistance.

[0007] 4. When a sensor in the existing coal seam gas monitoring and early warning device malfunctions during data collection, the data acquisition module will be paralyzed, which will affect the reliability of monitoring and early warning. Summary of the Invention

[0008] The purpose of this invention is to provide a coal seam gas monitoring and early warning device for mines, so as to solve the problems mentioned in the background art.

[0009] To achieve the above objectives, the present invention provides the following technical solution: a coal seam gas monitoring and early warning device for mines, 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. The data acquisition and transmission module uses sensors 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 of 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. The power supply module is responsible for providing a stable power supply to the gas monitoring and early warning device.

[0010] 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 uses data fusion technology to fuse processed multi-parameter data to form a comprehensive feature vector and perform correlation analysis. The model analysis submodule selects a model based on the characteristics and needs of gas disaster early warning and trains, updates, and evaluates the model's performance. The alarm submodule includes threshold setting, early warning judgment, and early warning issuance. The threshold setting combines the results of multi-parameter fusion analysis to set a dynamically adjustable threshold. The early warning judgment compares the fused data and analysis results with the set threshold in real time to determine if data anomalies occur. Once an anomaly is detected, the early warning issuance immediately sends detailed early warning information to the display submodule.

[0011] 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 calculations based on the real-time input gas concentration and environmental parameter data to obtain the compensated gas concentration data. The model update unit periodically trains and optimizes the compensation model based on 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 the frequency perspective, respectively.

[0012] Preferably, a shock-absorbing component is installed on the back of the gas monitoring and early warning device. The shock-absorbing component includes a support platform on the back of the gas monitoring and early warning device. Air springs and spring shock absorbers are evenly arranged on the front of the support platform. The spring shock absorbers are located inside the air springs. The front of the air springs 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. The front of the rubber shock-absorbing pad is in contact with the back of the gas monitoring and early warning device.

[0013] 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.

[0014] Preferably, the gas monitoring and early warning device has a door movably installed on its front, and rubber sealing rings are installed at the gaps between the door and the gas monitoring and early warning device, as well as at the gaps between the sensor and the gas monitoring and early warning device.

[0015] Preferably, the power supply module includes a main power supply and a backup power supply. The main power supply is connected to the mine's power supply system to provide a stable power supply for the gas monitoring and early warning device. When the main power supply fails or is interrupted, the backup power supply is powered by a battery installed on the bottom wall of the gas monitoring and early warning device.

[0016] Preferably, an alarm device is installed on the top wall of the gas monitoring and early warning device, which is used to emit audible and visual alarm signals. A power interface is installed on one side of the outer wall of the gas monitoring and early warning device, which is used to connect to the power supply system. The power interface is located below the pressure sensor.

[0017] Preferably, mounting blocks are installed on both sides of the support platform, and limit holes are opened inside the mounting blocks. Fixing holes are opened at the four corners of the support platform, and the fixing holes are located on the periphery of the air spring.

[0018] Preferably, the data acquisition and transmission module includes data acquisition and data transmission. The data acquisition module is responsible for collecting real-time data detected by the sensor and performing preliminary processing and conversion on 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.

[0019] Preferably, the display submodule includes an alarm device, a mobile phone, a monitoring system interface, and a display screen installed on the front of the box door.

[0020] Compared with the prior art, the beneficial effects of the present invention are:

[0021] 1. This invention establishes a multi-parameter fusion early warning model, comprehensively considering multiple factors such as gas concentration, outflow, change trend, temperature, humidity, and wind speed, and uses big data analysis, artificial intelligence algorithms, and other technologies to improve the accuracy and reliability of early warning.

[0022] 2. Based on the physicochemical properties of gas under different environmental conditions and a large amount of actual monitoring data, this invention comprehensively utilizes theoretical analysis and data mining techniques to establish a relationship model between gas concentration and environmental parameters such as temperature, humidity, and pressure. Multiple environmental parameter compensation models based on theoretical analysis and actual data are stored in a compensation model library. A suitable compensation model is first selected, and then the gas concentration data and environmental parameter data transmitted from the real-time data acquisition module are input into the compensation model for calculation, resulting in gas concentration data after environmental parameter compensation. This automatically compensates and corrects the device's measurement data to eliminate or reduce the impact of environmental factors on gas monitoring data.

[0023] 3. By installing the gas monitoring and early warning device on the shock absorption component, the present invention can effectively isolate the vibration generated by mine blasting, mechanical operation, etc., reduce the vibration transmitted to the device, and improve the impact and shock resistance of the gas monitoring and early warning device.

[0024] 4. This invention uses a redundant design to place these sensors in different locations to comprehensively acquire environmental information from different areas within the mine. When a sensor fails, other redundant sensors can continue to work, ensuring 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. Furthermore, by increasing the number of sensors, the possibility of system failure due to sensor failure can be effectively reduced, improving the overall reliability of the system and preventing electromagnetic interference from affecting the sensors. Attached Figure Description

[0025] Figure 1 This is a three-dimensional structural diagram of the present invention;

[0026] Figure 2 This is a three-dimensional structural diagram of the shock absorption component of the present invention;

[0027] Figure 3 This is a cross-sectional structural diagram of the gas monitoring and early warning device of the present invention;

[0028] Figure 4 This is a side view cross-sectional structural diagram of the gas monitoring and early warning device of the present invention;

[0029] Figure 5 This is a system diagram of the present invention;

[0030] Figure 6 This is a structural diagram of the data processing module of the present invention;

[0031] Figure 7 This is a structural diagram of the data acquisition and transmission module of the present invention.

[0032] In the diagram: 1. Gas monitoring and early warning device; 2. Box door; 3. Display screen; 4. Support platform; 5. Mounting block; 6. Limiting hole; 7. Fixing hole; 8. Air spring; 9. Spring shock absorber; 10. Rubber shock absorber 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 Implementation

[0033] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of the present invention.

[0034] In the description of this invention, it should be noted that the terms "upper," "lower," "inner," "outer," "front end," "rear end," "both ends," "one end," and "the other end," etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are used only for the convenience of describing this invention and for simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on this invention. Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance.

[0035] In the description of this invention, it should be noted that, unless otherwise explicitly specified and limited, the terms "installed," "equipped with," "connected," etc., should be interpreted broadly. For example, "connection" 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 an indirect connection through an intermediate medium; it can be a connection within two components. Those skilled in the art can understand the specific meaning of the above terms in this invention based on the specific circumstances. Example

[0036] Please see Figure 1 and Figure 5The present invention provides an embodiment of a coal seam gas monitoring and early warning device for mines, 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 sensors 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 of 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. The power supply module is responsible for providing a stable power supply to the gas monitoring and early warning device 1.

[0037] 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 uses data fusion technology to fuse processed multi-parameter data to form a comprehensive feature vector and perform correlation analysis. The model analysis submodule selects a model based on the characteristics and needs of gas disaster early warning and trains, updates, and evaluates the model's performance. The alarm submodule includes threshold setting, early warning judgment, and early warning issuance. The threshold setting combines the results of multi-parameter fusion analysis to set a dynamically adjustable threshold. The early warning judgment compares the fused data and analysis results with the set threshold in real time to determine if there is any data anomaly. Once an anomaly is detected, the early warning issuance submodule immediately sends the detailed information of the early warning to the display submodule.

[0038] The display submodule includes 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.

[0039] Furthermore, sensors are first deployed in different locations within the mine, such as key areas like coal faces, tunnels, and return airways, to collect real-time data on gas concentration, emission rate, temperature, humidity, and wind speed. The collected data is then transmitted to a data processing module for processing. A multi-parameter fusion-based early warning system is then used to issue warnings, comprehensively considering multiple factors such as gas concentration, emission rate, trends, temperature, humidity, and wind speed. Big data analysis and artificial intelligence algorithms are employed to improve the accuracy and reliability of the warnings. Additionally, the data collection process incorporates research and monitoring of early signs of gas disasters, such as monitoring gas desorption, desorption rate, coal seam acoustic emission, and electromagnetic radiation, enabling early warning. To capture early signs of gas disasters and provide early warnings, the display screen 3 in the display submodule is mainly used to display real-time monitoring data such as gas concentration, temperature, humidity, and pressure, as well as information on the working status of the equipment, for easy on-site viewing by staff. When abnormal changes in gas data are detected, an audible and visual alarm will be issued through the alarm device 11, and a text message will be sent to the mobile phones of relevant personnel. A pop-up window will also be displayed on the monitoring system interface. Warning information will be released through multiple channels to ensure that coal mine staff can receive the warning signal in a timely manner. The warning information should include detailed warning content, such as the warning level, abnormal gas parameters, location of occurrence, and possible dangers, so that staff can accurately understand the situation and make decisions.

[0040] Data fusion techniques, such as weighted average fusion and Kalman filter fusion, are employed to fuse multi-parameter data after feature engineering to form a comprehensive feature vector. The interrelationships and coupling effects between different parameters are then analyzed. For example, the correlation between gas concentration and parameters such as temperature, humidity, and wind speed is studied to uncover potential gas hazard patterns. Based on the characteristics and needs of gas hazard early 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). The selected models are then trained using historical data, and model parameters are adjusted to achieve optimal performance. As new data accumulates, the models are periodically updated to adapt to constantly changing gas hazard conditions. Finally, the trained models are evaluated using test data, employing metrics such as accuracy, precision, recall, and F1 score to measure model performance. Yes, it ensures the accuracy and reliability of the model. Based on coal mine safety production standards and practical experience, and combined with the results of multi-parameter fusion analysis, it sets reasonable thresholds for various parameters such as gas concentration, emission rate, and trend, as well as comprehensive early warning indicators. Considering the differences in geological conditions and mining processes of different coal mines, and the dynamic changes in gas conditions during coal mining, it can dynamically adjust the thresholds to improve the accuracy and adaptability of the early warning. It also acquires the fusion data and analysis results output by the multi-parameter fusion analysis submodule in real time and compares them with the thresholds set by the threshold setting unit. When the monitored data exceeds the corresponding threshold or shows an abnormal trend, the early warning mechanism is triggered, and an early warning signal is generated. By establishing a multi-parameter fusion early warning model, it comprehensively considers multiple factors such as gas concentration, emission rate, trend, temperature, humidity, and wind speed, and uses big data analysis, artificial intelligence algorithms, and other technologies to improve the accuracy and reliability of the early warning. Example

[0041] Please see Figure 6 This invention provides an embodiment of a coal seam gas monitoring and early warning device for mines. The data processing module includes a data preprocessing submodule, an environmental parameter compensation submodule, and a feature extraction submodule. The data preprocessing submodule cleans, standardizes, and filters 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 stores 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 calculations based on the input gas concentration and environmental parameter data to obtain compensated gas concentration data. The model update unit periodically trains and optimizes the compensation model based on newly accumulated data and changes in the actual mine conditions. The feature extraction submodule calculates statistical features based on the compensated gas concentration data and extracts features from both time series and frequency perspectives.

[0042] Furthermore, the received multi-parameter data is first cleaned to remove noise, outliers, and duplicate data, ensuring accuracy and completeness. Then, multi-parameter data of different types and dimensions, such as gas concentration, emission rate, temperature, humidity, and wind speed, are standardized to make them comparable and facilitate subsequent analysis. Next, digital filtering is used to smooth the data, eliminating noise and high-frequency interference, making the data more reflective of actual physical changes. Then, based on 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 applied to establish relationship models between gas concentration and environmental parameters such as temperature, humidity, and pressure. These models include multiple linear regression models, artificial neural network models, nonlinear fitting models, and neural network models. Various environmental parameter compensation models based on theoretical analysis and actual data are stored in a compensation model library. A suitable compensation model is selected first, and then the data acquired from the real-time data acquisition module is processed. The gas concentration data and environmental parameter data are input into the compensation model for calculation, resulting in 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 gas monitoring data. As the mine environment changes and monitoring data accumulates, new data is collected regularly to train and adjust the compensation model, continuously optimizing the model parameters and structure so that the compensation model can better adapt to the actual situation and improve the accuracy and reliability of compensation. In addition, a performance evaluation module can be added during use to evaluate the accuracy, stability, real-time performance, adaptability and reliability of the compensated data. Then, 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 trend of the data. Feature extraction is performed from the time series and frequency domain perspectives 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

[0043] Please see Figure 1 and Figure 2 An embodiment of the present invention provides: a coal seam gas monitoring and early warning device for mines, wherein a shock-absorbing component is installed on the back of the gas monitoring and early warning device 1, the shock-absorbing component includes a support 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 support platform 4, the spring shock absorbers 9 are located inside the air springs 8, the front of the air springs 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, the front of the rubber shock-absorbing pad 10 is in contact with the back of the gas monitoring and early warning device 1;

[0044] Mounting blocks 5 are installed on both sides of the bearing platform 4. Limiting holes 6 are opened inside the mounting blocks 5. Fixing holes 7 are opened at the four corners of the bearing platform 4. The fixing holes 7 are located on the periphery of the air spring 8.

[0045] Furthermore, by installing the gas monitoring and early warning device 1 on the shock absorption assembly, vibrations generated by mine blasting, mechanical operations, etc., can be effectively isolated, reducing the transmission of vibrations to the device and improving the impact and shock resistance of the gas monitoring and early warning device 1. 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 bear the vertical vibration buffer, using the extension and contraction of the spring to absorb vibration energy. The rubber shock absorber 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 moisture from entering the interior of the spring shock absorber 9. It works in conjunction with the spring shock absorber 9 to enhance the overall shock absorption effect. The spring shock absorber 9 and the air spring 8 are installed side by side. The air spring 8 is installed at the edge of the bearing platform 4 to provide uniform support and shock absorption effect. Example

[0046] Please see Figure 1 , Figure 3 , Figure 4 and Figure 7 The present invention provides an embodiment of a coal seam gas monitoring and early warning device for mines. 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.

[0047] A door 2 is installed on the front of the gas monitoring and early warning device 1. Rubber sealing rings 20 are installed at the gap between the door 2 and the gas monitoring and early warning device 1, as well as at the gap between the sensor and the gas monitoring and early warning device 1.

[0048] The data acquisition and transmission module includes data acquisition and data transmission. The data acquisition module is responsible for collecting real-time data detected by the sensors and performing preliminary processing and conversion of the data into a digital signal form that can be transmitted and processed. The data transmission module includes wired transmission and wireless transmission. The wireless transmission module includes a wireless transmission device 19 installed on the top wall of the gas monitoring and early warning device 1.

[0049] Furthermore, various sensors are deployed at different locations within the mine, such as key areas like coal faces, tunneling roadways, and return airways. These include 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). These sensors collect real-time data on multiple gas-related parameters, such as coal seam gas content, coal seam stability, gas hazard risk, gas concentration, humidity, wind speed, and pressure. Through redundant design, these sensors are arranged in different locations to comprehensively acquire environmental information from different areas within the mine. When one sensor fails, other redundant sensors can continue to operate, ensuring the system can continuously acquire data and perform corrective actions. It operates continuously and will not cause the acquisition module to fail 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 electromagnetic interference from affecting the sensors. It performs preliminary processing and conversion on the acquired real-time data, making it into a digital signal form that can be transmitted and processed. Then, the data is transmitted to the data processing module for further processing and analysis. Data transmission includes both wired and wireless transmission. Wired transmission often uses optical fiber and cable, which has the characteristics of stable transmission and strong anti-interference ability. Wireless transmission has technologies such as ZigBee, WiFi, 4G / 5G, etc., which can achieve more flexible layout.

[0050] Gas desorption sensors are fixed inside coal seam boreholes or on roadway walls to monitor the dynamic changes in gas desorption in the coal seam in real time. Acoustic emission sensors are deployed in key areas such as the coal face and tunneling roadways to form a sensor network, ensuring comprehensive reception of acoustic emission signals generated within the coal body to identify the stress state and degree of damage to the coal. Electromagnetic radiation sensors are installed near equipment such as coal mining machines and tunneling machines, as well as in coal seam roadways, as close to the coal body as possible to effectively receive electromagnetic radiation signals from the coal. Combined with the mechanical properties of the coal and the gas occurrence, a correlation between electromagnetic radiation and gas hazards is established. The model is used to assess 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 are installed with the detection head extending out of the gas monitoring and early warning device 1 and in direct contact with the external environment. Therefore, there will be a seam between the gas monitoring and early warning device 1 and the sensor. The seam is sealed with a rubber sealing ring 20. At the same time, the seam 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 interior of the gas monitoring and early warning device 1. Example

[0051] Please see Figure 1 , Figure 3 , Figure 4 and Figure 5The present invention provides an embodiment of a coal seam gas monitoring and early warning device for mines. The power supply module includes a main power supply and a backup power supply. The main power supply is connected to the mine's power supply system to provide a stable power supply to the gas monitoring and early warning device 1. When the main power supply fails or is interrupted, the backup power supply is powered by a battery 17 installed on the bottom wall of the gas monitoring and early warning device 1.

[0052] An alarm device 11 is installed on the top wall of the gas monitoring and early warning device 1. The alarm device 11 is used to emit audible and visual alarm signals. A power interface 21 is installed on one side of the outer wall of the gas monitoring and early warning device 1. The power interface 21 is used to connect to the power supply system. The power interface 21 is located below the side of the pressure sensor 16.

[0053] 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, ensuring its normal operation. However, when the main power supply fails or is interrupted, it automatically switches to the backup power supply to provide temporary power support, ensuring that the device can continue to work for a period of time, ensuring that data is not lost and monitoring is continuous, and ensuring that the device can continue to work, avoiding interruption of monitoring and early warning. When the monitoring data such as gas concentration exceeds the set threshold or the device malfunctions, the alarm device 11 will issue an audible and visual alarm signal to attract the attention of the staff.

[0054] Working principle: First, sensors are deployed in different locations within the mine, such as key areas like coal mining faces, tunnels, and return airways, to collect data on gas concentration, emission rate, temperature, humidity, and wind speed in real time. The collected data is then transmitted to the data processing module for processing. By inputting the real-time gas concentration data and environmental parameter data from the data acquisition module into the compensation model for calculation, gas concentration data after environmental parameter compensation is obtained. The device's measurement data is automatically compensated and corrected to eliminate or reduce the impact of environmental factors on gas monitoring data.

[0055] Then, a multi-parameter fusion early warning method is used to improve the accuracy and reliability of the early warning. When abnormal changes in gas data are detected, an audible and visual alarm will be issued through the alarm device 11, and a text message will be sent to the mobile phones of relevant personnel. A pop-up window will also be displayed on the monitoring system interface. Early warning information is released through multiple channels to ensure that coal mine workers can receive the early warning signal in a timely manner.

[0056] It will be apparent to those skilled in the art that the present 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 its spirit or essential characteristics. Therefore, the embodiments should be considered in all respects as exemplary and non-limiting, and the scope of the invention is defined by the appended claims rather than the foregoing description. Thus, all variations falling within the meaning and scope of equivalents of the claims are intended to be included within the present invention. No reference numerals in the claims should be construed as limiting the scope of the claims.

Claims

1. A coal seam gas monitoring and early warning device for use in mines, characterized in that: The system includes 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 sensors 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 of 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 to 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 uses data fusion technology to fuse processed multi-parameter data to form a comprehensive feature vector and perform correlation analysis. The model analysis submodule selects a model based on the characteristics and needs of gas disaster early warning and trains, updates, and evaluates the model's performance. The alarm submodule includes threshold setting, early warning judgment, and early warning issuance. The threshold setting combines the results of multi-parameter fusion analysis to set a dynamically adjustable threshold. The early warning judgment compares the fused data and analysis results with the set threshold in real time to determine if data anomalies occur. Once an anomaly is detected, the early warning issuance immediately sends detailed early warning information to the display submodule.

2. The coal seam gas monitoring and early warning device for mines 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 calculations based on the real-time input gas concentration and environmental parameter data to obtain the compensated gas concentration data. The model update unit periodically trains and optimizes the compensation model based on 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 both time series and frequency perspectives.

3. The coal seam gas monitoring and early warning device for mines according to claim 1, characterized in that: The gas monitoring and early warning device (1) is equipped with a shock-absorbing component on its back. The shock-absorbing component includes a support 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 support platform (4). The spring shock absorbers (9) are located inside the air springs (8). The front of the air springs (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 absorbers (9). 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. A coal seam gas monitoring and early warning device for mines 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. A coal seam gas monitoring and early warning device for mines according to claim 1, characterized in that: The gas monitoring and early warning device (1) has a movable door (2) installed on its front side. Rubber sealing rings (20) are installed at the gap between the door (2) and the gas monitoring and early warning device (1) as well as at the gap between the sensor and the gas monitoring and early warning device (1).

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

7. A coal seam gas monitoring and early warning device for mines 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). The alarm device (11) is used to emit an audible and visual alarm signal. A power interface (21) is installed on one side of the outer wall of the gas monitoring and early warning device (1). The power interface (21) is used to connect to the power supply system. The power interface (21) is located below the pressure sensor (16).

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

9. A coal seam gas monitoring and early warning device for mines 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. A coal seam gas monitoring and early warning device for mines according to claim 5, characterized in that: The display submodule includes 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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