CO concentration early warning system and method based on air volume correction early warning value

Abstract

The invention discloses a CO concentration early warning system based on an air volume correction early warning value, which comprises a sensor arranged at a mine monitoring point, the sensor is connected with a signal analyzing and processing system, the system collects basic data through the sensor, and the signal analyzing and processing system analyzes and processes the basic data. Independent analysis and correction of the CO early-warning value are realized by operating an analysis and correction operation program of the CO early-warning value customized by a user; the invention further discloses an early warning method adopting the system. The early warning method comprises the following specific steps: step 1, processing historical data acquired by the sensor; 2, CO concentration early warning value analysis is carried out through a signal analysis and processing system, early warning stage division is carried out, and CO concentration early warning values are calculated and corrected; 3, the CO concentration early warning value obtained after the current CO concentration value is corrected is collected through a sensor, the early warning stage is judged, a result is output, and the method provides a theoretical basis for a user to define a CO early warning value analysis and correction operation program.

Description

Technical Field

[0001] The present invention belongs to the technical field of prevention and control of coal spontaneous combustion fires, and specifically relates to a CO concentration early warning system based on air volume corrected early warning values, and also relates to an early warning method using the above-mentioned CO concentration early warning system based on air volume corrected early warning values. Background Art

[0002] The coal spontaneous combustion indicator gases and critical values are the main scientific basis for early warning and accurate prediction of the process of coal spontaneous combustion. The commonly used indicator gases mainly include CO, C2H4, C2H2, etc. CO gas is generated throughout the process of coal spontaneous combustion. Due to its good regularity and detection sensitivity with the change of coal temperature, it is one of the most widely used indicator gases for early warning of coal spontaneous combustion. At present, experimental research, on-site observation and statistical analysis are mainly used to study the change state of CO gas at the natural fire observation site for a period of time, and analyze and determine the CO critical values for early warning at different stages of coal spontaneous combustion.

[0003] However, due to the complex and changeable production environment at the coal mine site, the determined CO critical values will change due to the influence of real-time air volume. The current mainly used data collection methods such as safety monitoring and control, bundle tube monitoring and manual sampling all need to transmit the data to the ground for analysis, which have problems such as many fault points and difficult system maintenance, and cannot correct the early warning values according to the real-time air volume, resulting in difficult accurate monitoring and early warning of coal spontaneous combustion in the early stage. Summary of the Invention

[0004] The first object of the present invention is to provide a CO concentration early warning system based on air volume corrected early warning values, which solves the problem in the prior art that the early warning values cannot be corrected according to the real-time air volume.

[0005] The second object of the present invention is to provide an early warning method using the above-mentioned CO concentration early warning system based on air volume corrected early warning values.

[0006] The first technical solution adopted by the present invention is that a CO concentration early warning system based on air volume corrected early warning values includes sensors arranged at mine monitoring points, and the sensors are connected to a signal analysis and processing system.

[0007] The characteristics of the first technical solution of the present invention also lie in that the sensors include signal sensitive elements, signal processing modules, and data storage modules; the signal sensitive elements are used to convert the original signals into electrical signals, and the signal sensitive elements include temperature sensing elements, air pressure sensing elements, CO sensing elements, and wind speed sensing elements; The signal processing module is used to amplify the electrical signals collected and converted by the signal sensitive element into standard signals. The signal processing module includes an amplification circuit, a filtering circuit, and a digitization module. The filtering circuit uses an integrated circuit composed of an RC network and an integrated operational amplifier, and the digitization module uses an A / D converter; The data storage module is used to process the digital information processed by the signal processing module into original data for storage; the data storage module includes a processor and a memory. The processor is specifically an MCU, and the memory uses a Flash memory.

[0008] The signal analysis and processing system includes a program editing module, which is used to convert the algorithm logic defined by the user into a programming language; An operation module, which uses a microprocessor and is used to run the algorithm logic program defined by the user; An early warning response module, which is used to receive the operation result output by the operation module, then judge the early warning stage according to the operation result, and output the early warning result.

[0009] The second technical solution adopted by the present invention is a CO concentration early warning method based on the air volume correction early warning value. The above-mentioned CO concentration early warning system based on the air volume correction early warning value is adopted, and the specific steps are as follows: Step 1: Arrange sensors at the monitoring point for data detection, and process the historical data collected by the sensors; Step 2: Through the signal analysis and processing system, analyze the CO concentration early warning value according to the data processed in Step 1, divide the early warning stage, calculate the CO concentration early warning value of each stage, and correct the CO concentration early warning value; Step 3: Compare the current CO concentration value collected by the sensor at the monitoring point with the CO concentration early warning value corrected in Step 2, judge the early warning stage, and output the result.

[0010] The feature of the second technical solution of the present invention is also that, The historical data in Step 1 is specifically the CO concentration data and wind speed data from the current day to the past 30 days.

[0011] The specific process of processing the historical data collected by the sensor in Step 1 is as follows: Step 1.1: Process the CO concentration data within 30 days, specifically screen the CO concentration data x at the moment of the maximum atmospheric pressure every day and the CO concentration data y at the moment of the minimum atmospheric pressure every day, and calculate the average value respectively. The specific calculation formula is as follows:

[0012]

[0013] Average CO concentration at the moment of maximum atmospheric pressure Average CO concentration at the moment of minimum atmospheric pressure, where n is the number of days of historical data collection Step 1.2: Process the wind speed data of CO within 30 days, specifically by calculating the average wind speed of the wind speed data for 30 days and calculate the average air volume based on the average wind speed The specific calculation formula is as follows

[0014]

[0015] is the average wind speed of the wind speed data for 30 days is the average air volume; n is the number of days of historical data collection

[0016] In step 2, the early warning stage includes the normal stage, the attention stage, and the dangerous stage

[0017] The specific process of calculating the CO concentration early warning value for each stage and correcting the CO concentration early warning value in step 2 is as follows Step 2.1: Calculate the CO concentration early warning values for the normal stage and the attention stage The specific process is as follows Step 2.1.1: Based on the average CO concentration at the moment of maximum atmospheric pressure calculated in step 1 and the average CO concentration at the moment of minimum atmospheric pressure select the minimum value greater than from the dates where is ; Step 2.1.2: Calculate the average value of the CO concentration data within 30 days in step 1, and then select the minimum value between and as the CO concentration early warning value , where the average value of the CO concentration data within 30 days is calculated according to the following specific formula

[0018] is the average value of the CO concentration data within 30 days, and n is the number of days of historical data collection Step 2.2: Calculate the CO concentration early warning values for the attention stage and the dangerous stage The specific process is as follows ​Construct a prediction formula for the CO gas concentration at the monitoring location, and calculate the CO gas concentration value at the monitoring location when the coal body temperature is 70°C as the CO concentration warning value , where the prediction formula for the CO gas concentration is specifically as follows:

[0019] is the correction coefficient, with a value range of 1.0 to 1.2; is the oxidation correction coefficient of the residual coal in the oxidation zone of the goaf, taking 0.05 to 0.15; is the oxidation correction coefficient of the residual coal in the heat dissipation zone of the goaf, taking 0.01 to 0.08; , are the widths of the spontaneous combustion oxidation zone and the heat dissipation zone of the coal on the return air side of the goaf, in units of m; is the length of the coal mining face, in units of m; is the mining height of the coal mining face, in units of m; is the recovery rate of the coal mining face, taking 0.8 to 1.0; is the CO generation rate of the coal body at a temperature of 70°C, in units of mol / (cm 3 ·s); is the molar volume of the ideal gas, in units of L / mol, taking 22.4; is the air leakage coefficient of the coal mining face, taking 0.06 to 0.10; is the average air volume at the test location during the critical value test, in units of m 3 / s; Step 2.3. Correct the CO concentration warning value and the CO concentration warning value obtained in Steps 2.1 and 2.2, and the specific process is as follows: Step 2.3.1. Calculate the current real-time air volume according to the current real-time wind speed at the monitoring point and the cross-sectional area of the roadway, and the specific formula is as follows: is the current real-time air volume at the monitoring point; is the cross-sectional area of the roadway; Step 2.3.2. Calculate the air volume correction coefficient according to the current real-time air volume calculated in Step 2.3.1, and the specific formula is as follows:

[0020] is the current real-time air volume at the monitoring point; Step 2.3.3. According to the air volume correction coefficient in Step 2.3.2, correct the CO concentration warning value and the CO concentration warning value , and the specific formula is as follows:

[0021]

[0022] and is the corrected CO concentration warning value.

[0023] The beneficial effects of the present invention are as follows: The CO concentration warning system based on air volume correction warning value of the present invention collects and stores basic data such as temperature, air pressure, CO concentration, wind speed, etc. through sensors, and uses the microprocessor in the operation module to perform data analysis and processing. By running the analysis program of the user-defined CO warning value and the operation program based on the air volume correction warning value, the autonomous analysis and correction of the CO warning value are realized, and the problem that the warning value cannot be corrected according to the real-time air volume in the prior art is solved.

[0024] The CO concentration warning method based on air volume correction warning value of the present invention can calculate the CO concentration warning value and correct the CO concentration warning value, providing a theoretical basis for the analysis program of the user-defined CO warning value and the operation program based on the air volume correction warning value. Description of the Drawings

[0025] Figure 1 is the structural diagram of the sensor in the CO concentration warning system based on air volume correction warning value of the present invention; Figure 2 is the flow chart of the CO concentration warning method based on air volume correction warning value of the present invention. Detailed Embodiments

[0026] The present invention will be described in detail below with reference to the drawings and specific embodiments.

[0027] The first technical solution provided by the present invention is a CO concentration warning system based on air volume correction warning value, including sensors arranged at the mine monitoring points. The sensors are connected to the signal analysis and processing system. By collecting and storing basic data such as temperature, air pressure, CO concentration, wind speed, etc. through the sensors, and using the signal analysis and processing system to perform data analysis and processing, the autonomous analysis and correction of the CO warning value are realized by running the analysis program of the user-defined CO warning value and the operation program based on the air volume correction warning value.

[0028] The sensors, such as Figure 1As shown, the sensor includes a signal sensing element, a signal processing module, and a data storage module.

[0029] The signal sensing element is used to convert raw signals such as temperature, air pressure, CO concentration, and wind speed into electrical signals; the signal sensing element includes a temperature sensing element, an air pressure sensing element, a CO sensing element, and a wind speed sensing element. Among them, the temperature sensing element can convert the temperature signal into an electrical signal, and the core element of the temperature sensing element is a thermal resistor (RTD) with an accuracy range within 0.1°C and good stability; the air pressure sensing element can convert the air pressure signal into an electrical signal, specifically a vacuum cavity and a Wheatstone bridge processed on a single crystal silicon wafer using microelectromechanical system technology (MEMS); the CO sensing element can convert the CO oxidation reaction signal into an electrical signal, and the CO sensing element is specifically an induction electrode made of metal; the wind speed sensing element can convert the wind speed signal into an electrical signal, and the wind speed sensing element is specifically a hot wire anemometer, and its core sensing element is a metal wire that can be heated by an electric current.

[0030] The signal processing module is used to amplify the electrical signals collected and converted by the signal sensing element into digital information and transmit it. The signal processing module includes an amplification circuit, a filtering circuit, and a digitization module. The filtering circuit uses an integrated circuit composed of an RC network and an integrated operational amplifier to suppress electromagnetic interference. The digitization module uses an A / D converter to convert the electrical signal into digital information; The data storage module is used to process the digital information processed by the signal processing module into raw data and store it; the data storage module includes a processor and a memory. The processor uses a microcontroller unit (MCU) that can compile and convert digital information into relevant data; the memory uses a Flash memory, which is a storage device for storing the raw data output by the processor.

[0031] The signal analysis and processing system includes a program editing module. The program editing module is used to convert the algorithm logic defined by the user into a program language. Specifically, the algorithm logic defined by the user is edited into a source program through a text editor or an integrated development environment (IDE), and then the source program is converted into a machine-readable target program through program compilation. Finally, multiple target files and library files are integrated into a single executable program through a linker, realizing the programmed operation of the algorithm logic defined by the user.

[0032] An operation module, the operation module uses a microprocessor, mainly a microcontroller unit (MCU), which is used to run the algorithm logic program defined by the user, collect and store basic data such as temperature, air pressure, CO concentration, and wind speed through the sensor, and use the microprocessor in the operation module to perform data analysis and processing. By running the analysis program of the user-defined CO warning value and the operation program based on the air volume correction warning value, the autonomous analysis and correction of the CO warning value are realized, effectively solving the problem in the existing technology that the warning value cannot be corrected according to the real-time air volume.

[0033] An early warning response module, which is used to receive the operation result output by the operation module, then judge the early warning stage according to the operation result, and output the early warning result. Specifically, an electronic component that outputs the early warning result as an acoustic-optical signal and digital information can be adopted.

[0034] The second technical solution provided by the present invention is a CO concentration early warning method based on the air volume correction early warning value. The above-mentioned CO concentration early warning system based on the air volume correction early warning value is adopted, as Figure 2 shown, and the specific steps are as follows: Step 1: Arrange sensors at the monitoring point for data detection, and process the historical data collected by the sensors; The historical data in Step 1 is specifically the CO concentration data and wind speed data from the current day to the past 30 days.

[0035] The specific process of processing the historical data collected by the sensors in Step 1 is as follows: Step 1.1: Process the CO concentration data within 30 days. Specifically, screen the CO concentration data x at the moment of the maximum atmospheric pressure every day and the CO concentration data y at the moment of the minimum atmospheric pressure every day, and calculate the average value respectively. The specific calculation formula is as follows: (1) (2) The average CO concentration at the moment of the maximum atmospheric pressure, The average CO concentration at the moment of the minimum atmospheric pressure, and n is the number of days of historical data collection; Step 1.2: Process the CO wind speed data within 30 days. Specifically, calculate the average wind speed of the wind speed data for 30 days, and calculate the average air volume according to the average wind speed . The specific calculation formula is as follows: (3) (4) is the average wind speed of the wind speed data for 30 days; is the average air volume; and n is the number of days of historical data collection.

[0036] Step 2: Through the signal analysis and processing system, analyze the CO concentration early warning value according to the data processed in Step 1, divide the early warning stage, calculate the CO concentration early warning value of each stage, and correct the CO concentration early warning value; In step 2, the early warning stage includes the normal stage (25 - 50 °C), the attention stage (50 °C - 70 °C), and the dangerous stage (above 70 °C). The definition of the normal stage is the state where the heat generation and heat dissipation of the coal body maintain balance under normal production conditions. At this time, the concentration of CO generated by the oxidation of the coal body basically stabilizes. The definition of the attention stage is the state where the coal body enters a slow temperature rise due to the incomplete dissipation of the heat generated by the oxidation of the coal body. At this time, the concentration of CO generated by the oxidation of the coal body exceeds the normal state and slowly increases. The definition of the dangerous stage is the state where the coal body enters a rapid temperature rise due to the further intensification of the heat generated by the oxidation of the coal body. At this time, the temperature of the coal body usually exceeds 70 °C and will further develop into a combustion state in a short time.

[0037] The specific process of calculating the CO concentration early warning value for each stage and correcting the CO concentration early warning value in step 2 is as follows: Step 2.1. Calculate the CO concentration early warning values for the normal stage and the attention stage , the specific process is as follows: Step 2.1.1. According to the average CO concentration at the moment of the maximum atmospheric pressure calculated in step 1 , the average CO concentration at the moment of the minimum atmospheric pressure , select the minimum value among the dates greater than ; ; Step 2.1.2. Calculate the average value of the CO concentration data within 30 days in step 1 , and then select the minimum value between as the CO concentration early warning value , where the average value of the CO concentration data within 30 days has the following specific formula: (5) is the average value of the CO concentration data within 30 days, and n is the number of days of historical data collection; Step 2.2. Calculate the CO concentration early warning values for the attention stage and the dangerous stage , the specific process is as follows: Construct a prediction formula for the CO gas concentration at the monitoring location, and calculate the CO gas concentration value at the monitoring location when the coal body temperature is 70 °C as the CO concentration early warning value , where the prediction formula for the CO gas concentration is specifically: (6) is the correction coefficient, and the value range is 1.0 - 1.2; is the oxidation correction coefficient of the residual coal in the oxidation zone of the goaf, taking values from 0.05 to 0.15; is the oxidation correction coefficient of the residual coal in the heat dissipation zone of the goaf, taking values from 0.01 to 0.08; 、 is the width of the spontaneous combustion oxidation zone and heat dissipation zone of the coal on the return air side of the goaf, with the unit of m; is the length of the coal mining face, with the unit of m; is the mining height of the coal mining face, with the unit of m; is the recovery rate of the coal mining face, taking values from 0.8 to 1.0; is the CO generation rate of the coal body at a temperature of 70 °C, with the unit of mol / (cm 3 ·s); is the molar volume of the ideal gas, with the unit of L / mol, taking the value of 22.4; is the air leakage coefficient of the coal mining face, taking values from 0.06 to 0.10; is the average air volume at the test location during the critical value test, with the unit of m 3 / s; Step 2.3. Correct the CO concentration warning values and the CO concentration warning value obtained in Steps 2.1 and 2.2. The specific process is as follows: Step 2.3.1. Calculate the current real-time air volume according to the current real-time wind speed at the monitoring point and the cross-sectional area of the roadway. The specific formula is as follows: (7) is the current real-time air volume at the monitoring point; is the cross-sectional area of the roadway; Step 2.3.2. Calculate the air volume correction coefficient according to the current real-time air volume calculated in Step 2.3.1. The specific formula is as follows: (8) is the average air volume at the test location during the critical value test; is the current real-time air volume at the monitoring point; Step 2.3.3. Correct the CO concentration warning value and the CO concentration warning value according to the air volume correction coefficient in Step 2.3.2. The specific formula is as follows: (9) (10) and is the corrected CO concentration warning value. The CO concentration warning value can be achieved through the above method and the CO concentration warning value are calculated, and the CO concentration warning value and the CO concentration warning value are corrected, providing a theoretical basis for the analysis program of user-defined CO warning values and the operation program for warning value correction based on air volume.

[0038] Step 3: Compare the current CO concentration value collected by the sensor at the monitoring point with the corrected CO concentration warning value in Step 2, judge the warning stage, and output the result, enabling real-time monitoring of the CO concentration value at the monitoring point.

[0039] The CO concentration warning system based on air volume correction warning value of the present invention is specifically implemented as follows: Embodiment 1 The CO concentration warning system based on air volume correction warning value includes sensors arranged at mine monitoring points, and the sensors are connected to a signal analysis and processing system.

[0040] Embodiment 2 The CO concentration warning system based on air volume correction warning value includes sensors arranged at mine monitoring points, and the sensors are connected to a signal analysis and processing system.

[0041] The sensor includes a signal sensitive element, a signal processing module, and a data storage module.

[0042] Embodiment 3 The CO concentration warning system based on air volume correction warning value includes sensors arranged at mine monitoring points, and the sensors are connected to a signal analysis and processing system.

[0043] The sensor includes a signal sensitive element, a signal processing module, and a data storage module; The signal sensitive element is used to convert the original signal into an electrical signal. The signal sensitive element includes a temperature sensing element, a barometric pressure sensing element, a CO sensing element, and a wind speed sensing element.

[0044] Embodiment 4 The CO concentration warning system based on air volume correction warning value includes sensors arranged at mine monitoring points, and the sensors are connected to a signal analysis and processing system.

[0045] The sensor includes a signal sensitive element, a signal processing module, and a data storage module; The signal sensitive element is used to convert the original signal into an electrical signal. The signal sensitive element includes a temperature sensing element, a barometric pressure sensing element, a CO sensing element, and a wind speed sensing element; The signal processing module is used to amplify the electrical signals collected and converted by the signal sensitive elements into standard signals. The signal processing module includes an amplification circuit, a filtering circuit, and a digitization module. The filtering circuit uses an integrated circuit composed of an RC network and an integrated operational amplifier, and the digitization module uses an A / D converter.

[0046] Embodiment 5 A CO concentration warning system based on the air volume corrected warning value includes sensors arranged at mine monitoring points, and the sensors are connected to a signal analysis and processing system.

[0047] The sensor includes a signal sensitive element, a signal processing module, and a data storage module; The signal sensitive element is used to convert the original signal into an electrical signal. The signal sensitive element includes a temperature sensing element, a pressure sensing element, a CO sensing element, and a wind speed sensing element; The signal processing module is used to amplify the electrical signals collected and converted by the signal sensitive elements into standard signals. The signal processing module includes an amplification circuit, a filtering circuit, and a digitization module. The filtering circuit uses an integrated circuit composed of an RC network and an integrated operational amplifier, and the digitization module uses an A / D converter; The data storage module is used to process the digital information processed by the signal processing module into original data for storage; the data storage module includes a processor and a memory. The processor is specifically an MCU, and the memory uses a Flash memory.

[0048] Embodiment 6 A CO concentration warning system based on the air volume corrected warning value includes sensors arranged at mine monitoring points, and the sensors are connected to a signal analysis and processing system.

[0049] The sensor includes a signal sensitive element, a signal processing module, and a data storage module; The signal sensitive element is used to convert the original signal into an electrical signal. The signal sensitive element includes a temperature sensing element, a pressure sensing element, a CO sensing element, and a wind speed sensing element; The signal processing module is used to amplify the electrical signals collected and converted by the signal sensitive elements into standard signals. The signal processing module includes an amplification circuit, a filtering circuit, and a digitization module. The filtering circuit uses an integrated circuit composed of an RC network and an integrated operational amplifier, and the digitization module uses an A / D converter; The data storage module is used to process the digital information processed by the signal processing module into original data for storage; the data storage module includes a processor and a memory. The processor is specifically an MCU, and the memory uses a Flash memory.

[0050] The signal analysis and processing system includes a program editing module, and the program editing module is used to convert the algorithm logic defined by the user into a program language; An operation module, which uses a microprocessor and is used to run an algorithm logic program defined by the user; An early warning response module, which is used to receive the operation result output by the operation module, then judge the early warning stage according to the operation result, and output the early warning result.

Claims

1. A CO concentration warning system based on an air volume corrected warning value, characterized in that, It includes sensors arranged at mine monitoring points, and the sensors are connected to a signal analysis and processing system.

2. The CO concentration warning system based on the air volume corrected warning value according to claim 1, characterized in that, The sensors include signal sensitive elements, signal processing modules, and data storage modules; The signal sensitive elements are used to convert the original signals into electrical signals, and the signal sensitive elements include temperature sensing elements, barometric pressure sensing elements, CO sensing elements, and wind speed sensing elements; The signal processing modules are used to amplify the electrical signals collected and converted by the signal sensitive elements into standard signals. The signal processing modules include amplifier circuits, filter circuits, and digitization modules. The filter circuits adopt integrated circuits composed of RC networks and operational amplifiers, and the digitization modules adopt A / D converters; The data storage modules are used to process the digital information processed by the signal processing modules into original data for storage; the data storage modules include processors and memories. The processors are specifically MCUs, and the memories adopt Flash memories.

3. The CO concentration warning system based on the air volume corrected warning value according to claim 2, wherein The signal analysis and processing system includes a program editing module, and the program editing module is used to convert the algorithm logic defined by the user into a programming language; An operation module, which adopts a microprocessor and is used to run the algorithm logic program defined by the user; An early warning response module, which is used to receive the operation results output by the operation module, then judge the early warning stage according to the operation results, and output early warning results.

4. A CO concentration warning method based on the warning value corrected by the air volume, characterized in that, Using the CO concentration early warning system based on air volume correction of early warning values described in claim 3 above, the specific steps are as follows: Step 1: Arrange sensors at the monitoring points to detect data, and process the historical data collected by the sensors; Step 2: Through the signal analysis and processing system, analyze the CO concentration early warning values according to the data processed in Step 1, divide the early warning stages, calculate the CO concentration early warning values of each stage, and correct the CO concentration early warning values; Step 3: Compare the current CO concentration value collected by the sensor at the monitoring point with the CO concentration early warning value corrected in Step 2, judge the early warning stage, and output the result.

5. The CO concentration warning method based on the air volume corrected warning value according to claim 4, characterized in that, The historical data in Step 1 is specifically the CO concentration data and wind speed data from the current day to the past 30 days.

6. The CO concentration warning method based on the air volume corrected warning value according to claim 5, characterized in that, The specific process of processing the historical data collected by the sensors in Step 1 is as follows: Step 1.1: Process the CO concentration data within 30 days, specifically by screening the CO concentration data x at the moment of the maximum atmospheric pressure every day and the CO concentration data y at the moment of the minimum atmospheric pressure every day, and calculating the average values respectively. The specific calculation formula is as follows: （1） （2） Average CO concentration at the moment of maximum atmospheric pressure, Average CO concentration at the moment of minimum atmospheric pressure, where n is the number of days of historical data collection; Step 1.

2. Process the wind speed data of CO within 30 days, specifically calculate the average wind speed of the wind speed data for 30 days , and based on the average wind speed calculate the average air volume . The specific calculation formula is as follows: （3） （4） is the average wind speed of the wind speed data for 30 days; is the average air volume; n is the number of days of historical data collection.

7. The CO concentration warning method based on the air volume corrected warning value according to claim 6, characterized in that, The early warning stages in Step 2 include a normal stage, a concerned stage, and a dangerous stage.

8. The CO concentration warning method based on the air volume corrected warning value according to claim 7, characterized in that, The specific process of calculating the CO concentration early warning values of each stage and correcting the CO concentration early warning values in Step 2 is as follows: Step 2.

1. Calculate the CO concentration warning values in the normal stage and the concerned stage , and the specific process is as follows: Step 2.1.1: According to the average CO concentration at the moment of the maximum atmospheric pressure calculated in Step 1 and the average CO concentration at the moment of the minimum atmospheric pressure , select the minimum value among the dates greater than ; ; Step 2.1.2: Calculate the average value of the CO concentration data within 30 days in Step 1 , and then select the minimum value between as the CO concentration warning value , where the specific formula for the average value of the CO concentration data within 30 days is as follows: （5） is the average value of the CO concentration data within 30 days, and n is the number of days of historical data collection; Step 2.

2. Calculate the CO concentration warning values in the attention stage and the danger stage , and the specific process is as follows: Construct a prediction formula for the CO gas concentration at the monitoring site, and calculate the CO gas concentration value at the monitoring site when the coal body temperature is 70°C as the CO concentration warning value , where the prediction formula for the CO gas concentration is specifically as follows: （6） is the correction coefficient, with a value range of 1.0 to 1.2; is the correction coefficient for the oxidation of residual coal in the oxidation zone of the goaf, taking values from 0.05 to 0.15; is the correction coefficient for the oxidation of residual coal in the heat dissipation zone of the goaf, taking values from 0.01 to 0.08; , are the widths of the spontaneous combustion oxidation zone and the heat dissipation zone of the coal on the return air side of the goaf, in units of m; is the length of the coal mining face, in units of m; is the mining height of the coal mining face, in units of m; is the recovery rate of the coal mining face, taking values from 0.8 to 1.0; is the CO generation rate of the coal body at a temperature of 70 °C, in units of mol / (cm 3 ·s); is the molar volume of the ideal gas, in units of L / mol, taking the value of 22.4; is the air leakage coefficient of the coal mining face, taking values from 0.06 to 0.10; is the average air volume at the test location during the critical value test, in units of m 3 / s; Step 2.

3. Correct the CO concentration warning values obtained in Steps 2.1 and 2.2 and the CO concentration warning value The specific process is as follows: Step 2.3.

1. Calculate the current real-time air volume based on the current real-time wind speed at the monitoring point and the cross-sectional area of the roadway The specific formula is as follows: to calculate the current real-time air volume (7) is the current real-time air volume of the monitoring point; is the cross-sectional area of the roadway; Step 2.3.

2. Calculate the current real-time air volume of the monitoring point according to the calculation in Step 2.3.1 Calculate the air volume correction coefficient , and the specific formula is as follows: （8） is the average air volume at the test location during the critical value test; is the current real-time air volume at the monitoring point; Step 2.3.

3. Correct the CO concentration warning value according to the air volume correction factor in Step 2.3.2 and the CO concentration warning value , and the specific formula is as follows: （9） （10） Among them, and are the corrected CO concentration warning values.

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