Intelligent monitoring system for spontaneous combustion of coal in goaf

Abstract

The goaf coal spontaneous combustion intelligent monitoring system comprises a plurality of temperature sensors and a plurality of gas sensors which are arranged in a goaf, and the gas sensors comprise an oxygen sensor and a carbon monoxide sensor; the data acquisition module is connected with the temperature sensor and the gas sensor; the data processing module is connected with the data acquisition module, and the data processing module comprises a data storage unit and a data analysis unit; the data analysis unit comprises a temperature change rate calculation module and a gas concentration change rate calculation module, the temperature change rate calculation module can timely find temperature abnormity phenomena, and the gas concentration change rate calculation module can effectively monitor abnormal change conditions of oxygen and carbon monoxide concentration; and the alarm module is connected with the data processing module. The sensitivity and reliability of goaf coal spontaneous combustion monitoring data can be guaranteed, and the goaf coal spontaneous combustion monitoring condition can be accurately reflected.

Description

Technical Field

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

[0002] During coal mining, the safety of goaf areas is one of the important challenges facing the coal industry. With the continuous increase in the depth of coal mining, coal spontaneous combustion occurs frequently, posing a serious threat to mine safety. In order to effectively prevent and control the occurrence of coal spontaneous combustion accidents in goaf areas and improve the safety and economic benefits of coal mine production, it is particularly important to research and develop efficient intelligent monitoring technologies for coal spontaneous combustion in goaf areas. These technologies can not only detect potential fire hazards in a timely manner, but also guide the optimization and adjustment of mine ventilation systems, thereby ensuring the safety of miners and the normal operation of mines.

[0003] At present, the commonly used monitoring methods in the industry for the problem of spontaneous combustion of coal in goafs mainly include manual inspections, fixed-point monitoring and automatic monitoring systems. Manual inspections mainly rely on workers to regularly enter the goaf to check changes in temperature and gas composition, but this method has problems such as low efficiency, high risk, and difficulty in comprehensive coverage. Fixed-point monitoring is to install a single type of sensor (such as a temperature sensor or a gas sensor) at a fixed position in the goaf to monitor the environmental parameters of the local area in real time, but due to the complex environment in the goaf, single-point monitoring is difficult to accurately reflect the situation in the entire area. The automatic monitoring system uses a variety of sensors and data processing equipment to achieve continuous monitoring of the goaf environment.

[0004] In the existing technology, although there are some monitoring systems that can realize monitoring and early warning of spontaneous combustion of coal in goafs to a certain extent, due to the complex and changeable environment in the goafs, there are abnormal monitoring data, and the monitoring system cannot identify abnormal changes in a timely and accurate manner, resulting in poor data representativeness and reliability. These problems still pose great safety hazards in actual applications and cannot accurately reflect the overall situation of the goafs. Summary of the invention

[0005] In order to ensure the reliability of goaf coal spontaneous combustion monitoring data and accurately reflect the monitoring situation of goaf coal spontaneous combustion, the present application provides a goaf coal spontaneous combustion intelligent monitoring system.

[0006] The present application provides an intelligent monitoring system for spontaneous combustion of coal in goaf areas, which adopts the following technical solutions:

[0007] An intelligent monitoring system for spontaneous combustion of coal in goaf, comprising:

[0008] A plurality of temperature sensors and a plurality of gas sensors are arranged in the goaf, wherein the gas sensors include an oxygen sensor for detecting oxygen concentration and a carbon monoxide sensor for detecting carbon monoxide concentration;

[0009] A data acquisition module, the data acquisition module is connected with the temperature sensor and the gas sensor;

[0010] A data processing module, the data processing module is connected to the data acquisition module, the data processing module includes a data storage unit and a data analysis unit, the data storage unit is used to store the collected data, and the data analysis unit is used to analyze the stored data;

[0011] The data analysis unit includes a temperature change rate calculation module and a gas concentration change rate calculation module. The temperature change rate calculation module can detect temperature anomalies in a timely manner, and the gas concentration change rate calculation module can effectively monitor abnormal changes in oxygen and carbon monoxide concentrations.

[0012] An alarm module is connected with the data processing module.

[0013] Optionally, the data acquisition module includes multiple data acquisition sub-modules, each of which is connected to a temperature sensor and a group of gas sensors respectively, and is responsible for collecting corresponding temperature data and gas data.

[0014] Optionally, the temperature sensor and the gas sensor are installed at the upper part, the middle part and the lower part of the goaf, and at least one temperature sensor and one gas sensor are arranged at each position.

[0015] Optionally, the data processing module further includes a fault diagnosis unit, which detects the working status of the temperature sensor and the gas sensor through a voltage detection circuit and a signal strength detection circuit.

[0016] Optionally, the alarm module includes an audible and visual alarm and a remote alarm terminal, and the remote alarm terminal is connected to the data processing module via a wireless communication module.

[0017] Optionally, the wireless communication module supports Wi-Fi, Bluetooth and GPRS communication protocols.

[0018] Optionally, it also includes a power module, which is connected to the data acquisition module and is used to supply power to the data acquisition module.

[0019] In summary, the present application includes at least one of the following beneficial technical effects:

[0020] 1. The data acquisition module is connected with the temperature sensor and the gas sensor to efficiently collect monitoring data from various points. The data processing module processes and analyzes the received data to detect abnormal conditions in a timely manner. The temperature change rate calculation module can detect abnormal temperature increases or decreases in a timely manner. The gas concentration change rate calculation module can effectively monitor abnormal changes in oxygen and carbon monoxide concentrations (abnormal concentration increases or decreases). The combination of the two can ensure the sensitivity and reliability of goaf coal spontaneous combustion monitoring data. The alarm module can issue an alarm when an abnormal signal is detected, improve the timeliness of the early warning, accurately reflect the monitoring of goaf coal spontaneous combustion, ensure that potential coal spontaneous combustion risks can be discovered at an early stage, and then accurately determine whether there is a risk of coal spontaneous combustion in the goaf;

[0021] 2. The fault diagnosis unit can detect the working status of the temperature sensor and gas sensor in real time. The voltage detection circuit can monitor the power supply of the sensor to ensure its normal operation. The signal strength detection circuit can evaluate the signal quality sent by the sensor and detect possible faults or abnormalities in time, thus reducing false alarms or missed alarms caused by sensor failures and improving the reliability and stability of the system.

[0022] 3. Temperature sensors and gas sensors are installed at different locations in the goaf, which can fully cover the spatial range of the goaf and avoid omissions or misjudgments caused by local monitoring. The multi-point distribution design not only improves the monitoring density, but also ensures the fault tolerance of the system. Even if a sensor fails, other sensors can continue to work to ensure the stable operation of the system. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] Figure 1 The present invention is a schematic diagram of the overall structure of an intelligent monitoring system for spontaneous combustion of coal in goaf areas.

[0024] Figure 2 It is a system diagram of the gas sensor.

[0025] Figure 3 It is a system diagram of the data processing module.

[0026] Figure 4 It is a system schematic diagram of the fault diagnosis unit.

[0027] Explanation of the accompanying drawings: 1. Temperature sensor; 2. Gas sensor; 21. Oxygen sensor; 22. Carbon monoxide sensor; 3. Data acquisition module; 31. Data acquisition sub-module; 4. Data processing module; 41. Data storage unit; 42. Data analysis unit; 421. Temperature change rate calculation module; 422. Gas concentration change rate calculation module; 43. Fault diagnosis unit; 431. Voltage detection circuit; 432. Signal strength detection circuit; 5. Alarm module; 51. Sound and light alarm; 52. Remote alarm terminal; 6. Wireless communication module; 7. Power supply module. DETAILED DESCRIPTION

[0028] The present application is further described in detail below in conjunction with all the accompanying drawings.

[0029] The embodiment of the present application discloses an intelligent monitoring system for spontaneous combustion of coal in goaf areas.

[0030] Example

[0031] Reference Figures 1 to 4 , an intelligent monitoring system for spontaneous combustion of coal in goaf area, comprising:

[0032] A plurality of temperature sensors 1 and a plurality of gas sensors 2 are arranged in the goaf, and the temperature sensor 1 may be a thermocouple temperature sensor 1 or a thermal resistor temperature sensor 1. The thermocouple temperature sensor 1 has the characteristics of fast response speed, high measurement accuracy and high temperature resistance, and is suitable for a rapidly changing environment; the thermal resistor has the advantage of high stability and is suitable for long-term stable monitoring.

[0033] The gas sensor 2 includes an oxygen sensor 21 for detecting oxygen concentration and a carbon monoxide sensor 22 for detecting carbon monoxide concentration. The oxygen sensor 21 is mainly used to detect oxygen concentration. Common ones include electrochemical oxygen sensors 21 and infrared oxygen sensors 21. The electrochemical oxygen sensor 21 has a quick response and low cost, while the infrared oxygen sensor 21 has higher accuracy and stability. The carbon monoxide sensor 22 is used to detect carbon monoxide concentration. Common ones include electrochemical carbon monoxide sensors and infrared carbon monoxide sensors 22.

[0034] The data acquisition module 3 is connected to the temperature sensor 1 and the gas sensor 2, and the power module 7 is connected to the data acquisition module 3. The power module 7 is used to power the data acquisition module 3. The power module 7 can be an intrinsically safe power supply to adapt to the special environment of the goaf. The data acquisition module 3 includes a plurality of data acquisition submodules 31, each of which is respectively connected to a temperature sensor 1 and a group of gas sensors 2, and is responsible for collecting corresponding temperature data and gas data. The data acquisition submodule 31 can be connected to the temperature sensor 1 and the gas sensor 2 through a serial communication interface (such as RS-485).

[0035] The data processing module 4 is connected to the data acquisition module 3 and includes a data storage unit 41 and a data analysis unit 42. The data storage unit 41 is used to store the collected data and can be a flash memory or a hard disk with the characteristics of large capacity and high-speed reading and writing.

[0036] The data analysis unit 42 is used to analyze the stored data. The data analysis unit 42 includes a temperature change rate calculation module 421 and a gas concentration change rate calculation module 422. The temperature change rate calculation module 421 calculates the temperature change trend over time through an algorithm, and can use a smoothing filter method to reduce noise impact, improve signal quality, and promptly detect temperature anomalies.

[0037] The gas concentration change rate calculation module 422 also calculates the change trend of the gas concentration through an algorithm, and can use the Kalman filter algorithm to effectively monitor the abnormal changes in the oxygen and carbon monoxide concentrations. The combination of the two can ensure the sensitivity and reliability of the goaf coal spontaneous combustion monitoring data, accurately reflect the monitoring of the goaf coal spontaneous combustion, ensure that the potential coal spontaneous combustion risk can be discovered at an early stage, and then accurately determine whether there is a risk of coal spontaneous combustion in the goaf.

[0038] The data processing module 4 is connected to the alarm module 5. The alarm module 5 can sound an alarm when an abnormal signal is detected, thereby improving the timeliness of the early warning. The alarm module 5 includes an audible and visual alarm 51 and a remote alarm terminal 52. The audible and visual alarm 51 can immediately sound an alarm on site to remind the staff to take measures. The remote alarm terminal 52 is connected to the data processing module 4 through the wireless communication module 6, and can send the alarm information to the mine ground control center or other designated locations to achieve remote monitoring.

[0039] The wireless communication module 6 supports Wi-Fi, Bluetooth and GPRS communication protocols. Wi-Fi is suitable for short-distance high-speed transmission, Bluetooth is suitable for low-power devices, and GPRS is suitable for long-distance low-speed transmission. According to the actual application scenario, a suitable communication protocol can be selected. For example, inside the mine, Wi-Fi or Bluetooth can be selected for data transmission, while outside the mine, GPRS can be selected for remote monitoring.

[0040] The data processing module 4 also includes a fault diagnosis unit 43, which detects the working status of the temperature sensor 1 and the gas sensor 2 through a voltage detection circuit 431 and a signal strength detection circuit 432. The voltage detection circuit 431 can monitor the power supply voltage of the sensor to ensure its normal operation; the voltage detection circuit 431 can use a precision resistor voltage division method, and if the voltage is lower than a preset threshold, it is considered that the sensor may have a fault.

[0041] The signal strength detection circuit 432 can evaluate the signal quality sent by the sensor and detect possible faults or abnormalities in time. The signal strength detection circuit 432 can use a signal amplifier to detect the signal strength. If the signal strength is lower than a preset threshold, it is considered that the sensor may be faulty. The voltage detection circuit 431 and the signal strength detection circuit 432 reduce false alarms or missed alarms caused by sensor failures and improve the reliability and stability of the system.

[0042] Temperature sensor 1 and gas sensor 2 are installed at different positions in the goaf, specifically in the upper, middle and lower parts of the goaf. At least one temperature sensor 1 and one gas sensor 2 are installed at each position, which can fully cover the spatial range of the goaf, avoid omissions or misjudgments caused by local monitoring, and improve the representativeness and accuracy of monitoring data. The multi-point distribution design not only improves the density of monitoring, but also ensures the fault tolerance of the system. Even if a sensor fails, other sensors can continue to work to ensure the stable operation of the system.

[0043] The implementation principle of an intelligent monitoring system for spontaneous combustion of coal in goafs in an embodiment of the present application is as follows: the data acquisition module 3 efficiently collects monitoring data from various points, the data processing module 4 processes and analyzes the received data to detect abnormal situations in a timely manner, the temperature change rate calculation module 421 can detect the trend of abnormal temperature increase or decrease in a timely manner, and the gas concentration change rate calculation module 422 can effectively monitor the abnormal changes in oxygen and carbon monoxide concentrations. The combination of the two can ensure the sensitivity and reliability of the spontaneous combustion of coal in goaf monitoring data, and the alarm module 5 can issue an alarm when an abnormal signal is detected, thereby improving the timeliness of the early warning, accurately reflecting the monitoring situation of spontaneous combustion of coal in goafs, and ensuring that potential risks of spontaneous combustion of coal can be discovered at an early stage, thereby accurately judging whether there is a risk of spontaneous combustion of coal in goafs.

[0044] 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. An intelligent monitoring system for spontaneous combustion of coal in goaf, characterized by: include: A plurality of temperature sensors (1) and a plurality of gas sensors (2) are arranged in the goaf, wherein the gas sensors (2) include an oxygen sensor (21) for detecting oxygen concentration and a carbon monoxide sensor (22) for detecting carbon monoxide concentration; A data acquisition module (3), the data acquisition module (3) is connected to the temperature sensor (1) and the gas sensor (2); A data processing module (4), the data processing module (4) is connected to the data acquisition module (3), the data processing module (4) comprises a data storage unit (41) and a data analysis unit (42), the data storage unit (41) is used to store the acquired data, and the data analysis unit (42) is used to analyze the stored data; The data analysis unit (42) comprises a temperature change rate calculation module (421) and a gas concentration change rate calculation module (422). The temperature change rate calculation module (421) can timely detect temperature anomalies, and the gas concentration change rate calculation module (422) can effectively monitor abnormal changes in oxygen and carbon monoxide concentrations. An alarm module (5), the alarm module (5) is connected to the data processing module (4).

2. The intelligent monitoring system for spontaneous combustion of coal in goaf according to claim 1 is characterized by: The data acquisition module (3) comprises a plurality of data acquisition submodules (31), each of which is connected to a temperature sensor (1) and a group of gas sensors (2) and is responsible for collecting corresponding temperature data and gas data.

3. The intelligent monitoring system for spontaneous combustion of coal in goaf according to claim 1 is characterized by: The temperature sensor (1) and the gas sensor (2) are installed at the upper part, the middle part and the lower part of the goaf, and at least one temperature sensor (1) and one gas sensor (2) are arranged at each position.

4. The intelligent monitoring system for spontaneous combustion of coal in goaf according to claim 1 is characterized by: The data processing module (4) further comprises a fault diagnosis unit (43), wherein the fault diagnosis unit (43) detects the working states of the temperature sensor (1) and the gas sensor (2) through a voltage detection circuit (431) and a signal strength detection circuit (432).

5. The intelligent monitoring system for spontaneous combustion of coal in goaf according to claim 1 is characterized by: The alarm module (5) comprises an audible and visual alarm (51) and a remote alarm terminal (52), and the remote alarm terminal (52) is connected to the data processing module (4) via a wireless communication module (6).

6. The intelligent monitoring system for spontaneous combustion of coal in goaf according to claim 5 is characterized by: The wireless communication module (6) supports Wi-Fi, Bluetooth and GPRS communication protocols.

7. The intelligent monitoring system for spontaneous combustion of coal in goaf according to claim 1 is characterized by: It also comprises a power supply module (7), which is connected to the data acquisition module (3) and is used to supply power to the data acquisition module (3).

Images