Early warning system for spontaneous combustion of coal in goaf

Abstract

The invention discloses a goaf coal spontaneous combustion early warning system which comprises a plurality of temperature sensors and a plurality of gas detectors arranged in a goaf, and the gas detectors are used for detecting gas components in the goaf; the data acquisition module is connected with the temperature sensor and is used for acquiring temperature data; meanwhile, the data acquisition module is connected with the gas detector and is used for acquiring gas component data; the data acquisition module comprises a signal conditioning circuit and is used for amplifying and filtering an electric signal output by the temperature sensor; the data acquisition module further comprises an A / D converter used for converting an analog signal into a digital signal; the processing module is connected with the data acquisition module and is used for processing the temperature data and generating an early warning signal; the processing module is also used for processing the gas component data and generating an early warning signal in combination with the temperature data; and the early warning module is connected with the processing module and is used for receiving the early warning signal and sending out early warning information. The method has the effect of timely and accurately carrying out early warning on coal spontaneous combustion in the goaf.

Description

Technical Field

[0001] The invention relates to the field of coal mine safety, and in particular to an early warning system for spontaneous combustion of coal in goaf areas. Background Art

[0002] In the process of coal mining, the prevention and control of spontaneous combustion of coal in goaf is one of the key links to ensure the safe production of coal mines. With the continuous exploitation of coal resources, how to effectively prevent spontaneous combustion of coal seams in goaf has become the focus of the industry. Spontaneous combustion of coal seams in goaf will not only lead to waste of resources, but also seriously threaten the safety of mines and even cause major accidents. Therefore, the research and implementation of an effective early warning system for spontaneous combustion of coal seams in goaf is of great significance to the safe operation of coal mines.

[0003] In related technologies, in order to prevent spontaneous combustion of coal in goafs, the commonly used methods include regular manual detection of environmental parameters in goafs, such as temperature changes and gas composition analysis. In addition, there are also some automated monitoring methods, such as installing temperature sensors to continuously monitor temperature changes in goafs, and cooperating with gas detection equipment to monitor potential dangerous gas components. Through the data collected by manual or automated equipment, staff can preliminarily determine the risk of spontaneous combustion of coal seams.

[0004] Regarding the above-mentioned related technologies, although the environmental parameters of the goaf can be monitored by installing temperature sensors, etc., these methods have certain limitations in practical applications and lack effective data processing mechanisms and timely early warning systems. It is difficult to timely detect and warn of the risk of coal spontaneous combustion in actual application. Summary of the invention

[0005] In order to timely and accurately warn of spontaneous combustion of coal in goaf, the present application provides a spontaneous combustion warning system for coal in goaf.

[0006] This application provides a goaf area coal spontaneous combustion early warning system, which adopts the following technical solutions:

[0007] A goaf area coal spontaneous combustion early warning system, comprising:

[0008] A plurality of temperature sensors and a plurality of gas detectors are arranged in the goaf, and the gas detectors are used to detect the gas composition in the goaf;

[0009] A data acquisition module is connected to the temperature sensor and is used to collect temperature data. The data acquisition module is also connected to the gas detector and is used to collect gas composition data. The data acquisition module includes a signal conditioning circuit for amplifying and filtering the electrical signal output by the temperature sensor. The data acquisition module also includes an A / D converter for converting analog signals into digital signals.

[0010] A processing module, connected to the data acquisition module, for processing the temperature data and generating an early warning signal; the processing module is also used to process the gas composition data and generate an early warning signal in combination with the temperature data;

[0011] The early warning module is connected to the processing module and is used to receive the early warning signal and issue early warning information.

[0012] Optionally, it also includes a wireless communication module, which is connected to the processing module and the remote monitoring center respectively, and is used to transmit the early warning signal to the remote monitoring center.

[0013] Optionally, it also includes a power supply module, which supplies power to the temperature sensor, gas detector, data acquisition module, processing module and early warning module respectively.

[0014] Optionally, the processing module includes a microprocessor and a memory, the microprocessor is used to execute a preset algorithm to process the temperature data, and the memory is used to store the temperature data and a preset threshold.

[0015] Optionally, the gas detector comprises:

[0016] A carbon monoxide detection unit, used to detect the concentration of carbon monoxide gas;

[0017] Ethylene detection unit, used to detect ethylene gas concentration.

[0018] Optionally, the early warning module includes:

[0019] Sound and light alarm, used to send out sound and light alarm signals;

[0020] Display screen, used to display early warning information and real-time monitoring data.

[0021] Optionally, the temperature sensor is a thermocouple temperature sensor.

[0022] Optionally, the temperature sensor is connected to the data acquisition module via a wire or wirelessly.

[0023] In summary, the present application includes at least one of the following beneficial technical effects:

[0024] 1. By setting up temperature sensors, gas detectors and data acquisition modules in the goaf, the temperature changes and gas composition in the goaf can be monitored in real time, and the signal conditioning circuit amplifies and filters the electrical signal output by the temperature sensor, effectively improving the quality and stability of the signal, reducing noise interference, and ensuring that the subsequent processing module can accurately obtain temperature data; the A / D converter converts the analog signal into a digital signal, so that the data acquisition module can process and transmit temperature data and gas composition data more quickly and accurately, thereby accurately identifying the early signs of coal seam spontaneous combustion, and timely and accurately warning of coal spontaneous combustion in the goaf;

[0025] 2. The processing module and early warning module can quickly process the collected temperature data and gas composition data and generate early warning signals, so that relevant personnel can take timely measures to avoid major safety accidents caused by spontaneous combustion of coal seams;

[0026] 3. Through integrated data processing and early warning functions, this early warning system has significantly improved the efficiency and reliability of coal mine safety management, reduced the risk of misjudgment caused by human factors, and ensured the safe operation of mines. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] Figure 1 The present invention is a schematic diagram of the overall structure of a coal spontaneous combustion early warning system in goaf areas.

[0028] Figure 2 It is a system diagram of a gas detector.

[0029] Figure 3 It is a system diagram of the data acquisition module.

[0030] Figure 4 It is a system diagram of the processing module.

[0031] Explanation of the accompanying drawings: 1. Temperature sensor; 2. Gas detector; 21. Carbon monoxide detection unit; 22. Ethylene detection unit; 3. Data acquisition module; 31. Signal conditioning circuit; 32. A / D converter; 4. Processing module; 41. Microprocessor; 42. Memory; 5. Early warning module; 51. Sound and light alarm; 52. Display screen; 6. Wireless communication module; 7. Remote monitoring center. DETAILED DESCRIPTION

[0032] The present application is further described in detail below in conjunction with all the accompanying drawings.

[0033] The embodiment of the present application discloses a goaf area coal spontaneous combustion early warning system.

[0034] Example

[0035] Reference Figures 1 to 4A goaf coal spontaneous combustion early warning system includes at least one temperature sensor 1, a data acquisition module 3, a processing module 4 and an early warning module 5, wherein the temperature sensor 1 is arranged in the goaf, the data acquisition module 3 is connected to the temperature sensor 1 for collecting temperature data, the processing module 4 is connected to the data acquisition module 3 for processing the temperature data and generating an early warning signal, and the early warning module 5 is connected to the processing module 4 for receiving the early warning signal and issuing early warning information, so as to monitor the temperature changes in the goaf in real time, and timely discover and warn the risk of coal seam spontaneous combustion.

[0036] The temperature sensor 1 is connected to the data acquisition module 3 through a wire or wirelessly. The temperature sensor 1 adopts a thermocouple temperature sensor 1. The thermocouple temperature sensor 1 has the characteristics of fast response speed, high precision, high temperature resistance, etc., and is suitable for the harsh environment of high temperature and high humidity such as the goaf. The thermal resistance temperature sensor 1 has the advantages of good stability and high repeatability, and is suitable for long-term continuous monitoring.

[0037] The data acquisition module 3 includes a signal conditioning circuit 31 and an A / D converter 32. The signal conditioning circuit 31 is used to amplify and filter the electrical signal output by the temperature sensor 1, eliminate noise interference, and improve the quality of the signal. The signal conditioning circuit 31 can select components such as integrated operational amplifiers and low-pass filters. The A / D converter 32 converts analog signals into digital signals to facilitate rapid data processing by the subsequent processing module 4. The A / D converter 32 can select high-performance analog-to-digital conversion chips, such as AD7705, ADS1256, etc.

[0038] The processing module 4 includes a microprocessor 41 and a memory 42. The microprocessor 41 is used to execute a preset algorithm to process temperature data. The microprocessor 41 can select a high-performance processor such as ARM, MIPS or DSP; the memory 42 is used to store temperature data and preset thresholds. The memory 42 can select a storage medium such as Flash, SRAM or SD card. The microprocessor 41 reads the temperature data and compares it with the preset threshold. When the temperature exceeds the set critical value, an early warning signal is generated.

[0039] A plurality of gas detectors 2 are also provided in the goaf for detecting the gas composition in the goaf. The gas detector 2 includes a carbon monoxide detection unit 21 and an ethylene detection unit 22, which are respectively used to detect the concentration of the characteristic gas carbon monoxide and the concentration of the ethylene. The data acquisition module 3 is not only connected to the temperature sensor 1, but also connected to the gas detector 2 for collecting gas composition data. The processing module 4 not only processes the temperature data, but also processes the gas composition data, and generates an early warning signal in combination with the temperature data.

[0040] Gas detector 2 can be selected from three types: electrochemical sensor, infrared sensor or semiconductor sensor. Electrochemical sensor has the characteristics of high sensitivity and fast response time, and is suitable for detecting low concentration gas. Infrared sensor has the advantages of strong selectivity and strong anti-interference ability, and is suitable for gas detection in complex environments. Semiconductor sensor has low cost and is suitable for large-scale application. Data acquisition module 3 needs to add corresponding interfaces and circuits to connect with gas detector 2. For example, ADC channel can be added to collect the electrical signal output by gas detector 2.

[0041] When processing the gas composition data, the processing module 4 can use a variety of algorithms, such as the least square method. The algorithm can effectively remove noise interference and improve the accuracy of the data. The processing module 4 can also combine the temperature data and the gas composition data to comprehensively judge the risk of spontaneous combustion of the coal seam. For example, when the temperature rises and the carbon monoxide concentration increases, the processing module 4 will generate an early warning signal.

[0042] The early warning module 5 includes an audible and visual alarm 51 and a display screen 52. The audible and visual alarm 51 is used to send out audible and visual alarm signals to remind on-site personnel to take measures. The audible and visual alarm 51 can select components such as buzzers and LED lights. The display screen 52 is used to display early warning information and real-time monitoring data for the convenience of staff to view. The display screen 52 can select LCD, OLED and other displays. When the processing module 4 generates an early warning signal, the audible and visual alarm 51 will start immediately, and the display screen 52 will display specific early warning information and real-time monitoring data.

[0043] The temperature sensor 1 monitors the temperature changes in the goaf in real time and transmits the temperature data to the data acquisition module 3. The data acquisition module 3 amplifies and filters the temperature data through the signal conditioning circuit 31, and then converts it into a digital signal through the A / D converter 32. The processing module 4 reads the digital signal, processes the temperature data using a preset algorithm, and compares it with a preset threshold. If the temperature exceeds the critical value, the processing module 4 generates an early warning signal. After the early warning module 5 receives the early warning signal, the sound and light alarm 51 is activated, and an sound and light alarm signal is issued. The display screen 52 displays the early warning information and real-time monitoring data to remind the on-site personnel to take measures.

[0044] By real-time monitoring of temperature changes in the goaf, the risk of spontaneous combustion of coal seams can be discovered and warned in a timely and accurate manner, thereby improving the safety of coal mines. Especially in high-temperature and high-humidity goafs, the effective combination of the thermocouple temperature sensor 1 and the signal conditioning circuit 31 ensures the accuracy and reliability of the data, and the coordinated work of the microprocessor 41 and the memory 42 enables the system to respond quickly in a short time and issue warning signals in a timely manner, thereby effectively reducing the risk of spontaneous combustion of coal seams.

[0045] The goaf coal spontaneous combustion warning system also includes a wireless communication module 6, which is connected to the processing module 4 and the remote monitoring center 7 respectively. The wireless communication module 6 is used to transmit the warning signal to the remote monitoring center 7. The selection of the wireless communication module 6 depends on the needs of the actual application scenario, and a variety of wireless communication technologies can be used, such as Wi-Fi, LoRa or NB-IoT. The Wi-Fi module is suitable for short-distance, high-speed data transmission. The LoRa module is suitable for long-distance, low-power application scenarios and is suitable for large-area mining areas. The NB-IoT module is suitable for wide-area coverage, low-power application scenarios and is suitable for mining areas in remote areas.

[0046] After generating the warning signal, the processing module 4 sends the warning signal to the remote monitoring center 7 through the wireless communication module 6. The remote monitoring center 7 can be a central server or a mobile terminal, which can be located above or below the well. After receiving the warning signal, the remote monitoring center 7 can automatically record the warning information and generate an alarm log. The remote monitoring center 7 can also display the temperature and gas composition data of the goaf in real time, which is convenient for management personnel to conduct remote monitoring and management.

[0047] The goaf coal spontaneous combustion warning system also includes a power module, which is used to power the temperature sensor 1, the gas detector 2, the data acquisition module 3, the processing module 4 and the warning module 5 respectively. The selection of the power module depends on the requirements of the actual application scenario, such as battery life, charging convenience, cost and other factors. The power module can be of various types, such as lithium batteries, intrinsically safe power supplies, etc. Lithium batteries are suitable for portable devices and have the characteristics of long battery life, small size and light weight; intrinsically safe power supplies are widely used in underground operations due to their explosion-proof characteristics.

[0048] The implementation principle of the coal spontaneous combustion early warning system in the goaf of the present application embodiment is as follows: the temperature sensor 1 and the gas detector 2 respectively monitor the temperature change and gas composition in the goaf in real time, and transmit the data to the data acquisition module 3. The data acquisition module 3 amplifies and filters the temperature data and the gas composition data through the signal conditioning circuit 31, and then converts them into digital signals through the A / D converter 32. The processing module 4 reads the digital signal, processes the temperature data and the gas composition data using a preset algorithm, and compares them with the preset threshold. If the temperature exceeds the critical value or the concentration of the gas component is abnormal, the processing module 4 generates an early warning signal. After the early warning module 5 receives the early warning signal, the sound and light alarm 51 is started, and an sound and light alarm signal is issued, and the display screen 52 displays the early warning information and real-time monitoring data to remind the on-site personnel to take measures. By real-time monitoring of the temperature changes and gas composition in the goaf, the risk of coal seam spontaneous combustion can be discovered and warned in a timely and accurate manner, thereby improving the safety of coal mines. Especially in high-temperature and high-humidity goaf areas, the effective combination of the thermocouple temperature sensor 1 and the signal conditioning circuit 31 ensures the accuracy and reliability of the data. The coordinated work of the microprocessor 41 and the memory 42 enables the system to respond quickly in a short time and issue early warning signals in time, effectively reducing the risk of spontaneous combustion of coal seams.

[0049] The above are all preferred embodiments of the present application, and the protection scope of the present application is not limited thereto. Therefore, any equivalent changes made according to the structure, shape, and principle of the present application should be included in the protection scope of the present application.

Claims

1. A coal spontaneous combustion early warning system in goaf, characterized in that: include: A plurality of temperature sensors (1) and a plurality of gas detectors (2) are arranged in the goaf, wherein the gas detectors (2) are used to detect gas components in the goaf; A data acquisition module (3) is connected to the temperature sensor (1) and is used to collect temperature data; the data acquisition module (3) is also connected to the gas detector (2) and is used to collect gas composition data; the data acquisition module (3) includes a signal conditioning circuit (31) for amplifying and filtering the electrical signal output by the temperature sensor (1); the data acquisition module (3) also includes an A / D converter (32) for converting an analog signal into a digital signal; A processing module (4) is connected to the data acquisition module (3) and is used to process the temperature data and generate a warning signal; the processing module (4) is also used to process the gas composition data and generate a warning signal in combination with the temperature data; The early warning module (5) is connected to the processing module (4) and is used to receive the early warning signal and issue early warning information.

2. The goaf coal spontaneous combustion early warning system according to claim 1 is characterized in that: It also comprises a wireless communication module (6), which is connected to the processing module (4) and the remote monitoring center (7) respectively, and is used to transmit the warning signal to the remote monitoring center (7).

3. The goaf coal spontaneous combustion early warning system according to claim 1 is characterized in that: It also comprises a power supply module, which supplies power to the temperature sensor (1), the gas detector (2), the data acquisition module (3), the processing module (4) and the early warning module (5).

4. The goaf coal spontaneous combustion early warning system according to claim 1 is characterized by: The processing module (4) comprises a microprocessor (41) and a memory (42); the microprocessor (41) is used to execute a preset algorithm to process the temperature data; and the memory (42) is used to store the temperature data and a preset threshold value.

5. The goaf coal spontaneous combustion early warning system according to claim 1 is characterized by: The gas detector (2) comprises: A carbon monoxide detection unit (21), used for detecting the concentration of carbon monoxide gas; The ethylene detection unit (22) is used to detect the ethylene gas concentration.

6. The goaf coal spontaneous combustion early warning system according to claim 1 is characterized by: The early warning module (5) comprises: An audible and visual alarm (51), used for sending out audible and visual alarm signals; The display screen (52) is used to display early warning information and real-time monitoring data.

7. The goaf coal spontaneous combustion early warning system according to claim 1 is characterized by: The temperature sensor (1) is a thermocouple temperature sensor.

8. The goaf coal spontaneous combustion early warning system according to claim 1 is characterized by: The temperature sensor (1) is connected to the data acquisition module (3) via a wire or wirelessly.

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