CN-121982837-A - Coal mine underground methane spontaneous combustion risk early warning method, device, equipment and medium

CN121982837ACN 121982837 ACN121982837 ACN 121982837ACN-121982837-A

Abstract

The invention provides a coal mine underground methane spontaneous combustion risk early warning method, device, equipment and medium, and belongs to the technical field of methane monitoring. The method comprises the steps of obtaining methane concentration data through multiple areas, multiple monitoring points and multiple acquisition modes, evaluating confidence coefficient of each acquisition mode, determining weight of each mode and each monitoring point according to the confidence coefficient, giving weight to the concentration in the acquisition mode based on the weight, and calculating the concentration of each monitoring point. And weighting the concentration of each point by using the weight of the monitoring point to obtain early warning values of each region, weighting and summing the early warning values of the regions, and executing a grading early warning strategy according to the integral early warning values. According to the invention, through a differential weighting and dynamic multistage aggregation method based on data confidence, the early stage grading early warning of more accurate and sensitive spontaneous combustion of coal mine methane is realized.

Inventors

WEI QIMING
ZHANG SHIPENG
WANG JIA
KONG QINGQING
ZHANG GUANGPENG
HU YANCHAO
LI YI
GAO SHOULE

Assignees

国家能源集团宁夏煤业有限责任公司
徐州珂尔玛科技有限公司

Dates

Publication Date: 20260505
Application Date: 20251224

Claims (10)

1. The coal mine underground methane spontaneous combustion risk early warning method is characterized by comprising the following steps of: acquiring methane concentrations of a plurality of monitoring points of a plurality of areas under a coal mine in a plurality of acquisition modes; for each acquisition mode of each monitoring point of each area underground in the coal mine: determining the confidence coefficient of the current monitoring point in the current acquisition mode; Determining the weight of the current monitoring point in each acquisition mode and the weight of the current monitoring point based on the confidence degrees of the current monitoring point in all the acquisition modes; Weighting the current monitoring point under each acquisition mode according to the weight of the current monitoring point, and determining the methane concentration of the current monitoring point according to the weighting result; Weighting the methane concentration of each monitoring point of the current area according to the weights of all monitoring points of the current area, and determining a methane concentration early warning value of the current area according to a weighting result; weighting and summing the methane concentration early-warning values of a plurality of areas in the coal mine to obtain the methane concentration early-warning value in the coal mine; And executing a grading early warning strategy based on the methane concentration early warning value under the coal mine.
2. The method for pre-warning the spontaneous combustion risk of methane in a coal mine according to claim 1, wherein determining the confidence level of the current monitoring point in the current acquisition mode comprises: acquiring an environmental interference coefficient and a historical data reliability coefficient of a current monitoring point in a current acquisition mode; and obtaining the confidence coefficient of the current monitoring point in the current acquisition mode based on the environmental interference coefficient, the historical data reliability coefficient, the first preset weight adjustment coefficient, the second preset weight adjustment coefficient, the third preset weight adjustment coefficient, the preset nominal precision, the preset calibration parameter and the preset sensitivity parameter of the current monitoring point in the current acquisition mode.
3. The method of claim 2, wherein obtaining the confidence level of the current monitoring point in the current acquisition mode based on the environmental interference coefficient, the historical data reliability coefficient, the first preset weight adjustment coefficient, the second preset weight adjustment coefficient, the third preset weight adjustment coefficient, the preset nominal precision, the preset calibration parameter and the preset sensitivity parameter of the current monitoring point in the current acquisition mode comprises: based on an environmental interference coefficient, a historical data reliability coefficient, a first preset weight adjustment coefficient, a second preset weight adjustment coefficient, a third preset weight adjustment coefficient, a preset nominal precision, a preset calibration parameter and a preset sensitivity parameter of the current monitoring point in the current acquisition mode, determining the confidence coefficient of the current monitoring point in the current acquisition mode through the following formula; Wherein, the method comprises the steps of, Represents the confidence of the current monitoring point in the current acquisition mode, A first preset weight adjustment coefficient of the current monitoring point in the current acquisition mode is represented, Representing the preset sensitivity parameter of the current monitoring point in the current acquisition mode, Representing the preset nominal precision of the current monitoring point in the current acquisition mode, Representing the preset calibration parameters of the current monitoring point in the current acquisition mode, Representing a second preset weight adjustment coefficient of the current monitoring point in the current acquisition mode, The environmental interference coefficient of the current monitoring point in the current acquisition mode is represented, A third preset weight adjustment coefficient of the current monitoring point in the current acquisition mode is represented, And the historical data reliability coefficient of the current monitoring point in the current acquisition mode is represented.
4. The method of claim 1, wherein determining the weight of the current monitoring point in each acquisition mode and the weight of the current monitoring point based on the confidence level of the current monitoring point in all the acquisition modes comprises: Carrying out normalization processing on the confidence coefficient of the current monitoring point in all the acquisition modes to obtain the weight of the current monitoring point in each acquisition mode; Calculating the average value of the confidence coefficient of the current monitoring point in all the acquisition modes to obtain the comprehensive confidence coefficient of the current monitoring point; calculating the product of the preset risk level of the current area and the comprehensive confidence coefficient of the current monitoring point to obtain the weight calculation base number of the current monitoring point of the current area; And carrying out normalization processing on the weight calculation base numbers of all the monitoring points in the current area to obtain the weight of each monitoring point in the current area.
5. The method for pre-warning the spontaneous combustion risk of methane in a coal mine according to claim 1, wherein the plurality of areas in the coal mine comprise an air inlet channel area, an air return channel area, a goaf area, a tunneling working face area and an electromechanical chamber area; Based on the methane concentration early warning value in the underground coal mine, executing a grading early warning strategy, comprising: Acquiring the carbon monoxide concentration of a coal mine underground return airway area and the distance between the return airway area and a goaf area; The methane diffusion rate is obtained through concentration gradient calculation based on the methane concentration early warning value of the air return tunnel area, the methane concentration early warning value of the goaf area and the distance between the air return tunnel area and the goaf area under the coal mine; Determining the spontaneous combustion risk level of the underground coal mine based on the methane diffusion rate, the carbon monoxide concentration of the underground coal mine return airway area and the methane concentration early warning value of the underground coal mine; based on the spontaneous combustion risk level of the coal mine underground, executing a corresponding early warning strategy.
6. The method of claim 5, wherein determining the spontaneous combustion risk level in the coal mine based on the methane diffusion rate, the carbon monoxide concentration in the coal mine underground return air channel area, and the methane concentration warning value in the coal mine comprises: If the methane diffusion rate is greater than the preset methane diffusion rate, the carbon monoxide concentration in the coal mine underground return airway area is greater than the preset carbon monoxide concentration, the methane concentration early warning value in the coal mine underground is greater than the first preset methane concentration and less than the second preset methane concentration, the spontaneous combustion risk level in the coal mine underground is determined to be low spontaneous combustion risk, or If the methane diffusion rate is greater than the preset methane diffusion rate, the carbon monoxide concentration in the coal mine underground return airway area is greater than the preset carbon monoxide concentration, the coal mine underground methane concentration early warning value is greater than the second preset methane concentration and less than the third preset methane concentration, and the coal mine underground spontaneous combustion risk level is determined to be the medium spontaneous combustion risk, or If the methane diffusion rate is greater than the preset methane diffusion rate, the carbon monoxide concentration in the coal mine underground return airway area is greater than the preset carbon monoxide concentration, and the methane concentration early warning value in the coal mine underground is greater than the third preset methane concentration and less than the fourth preset methane concentration, then determining that the spontaneous combustion risk level in the coal mine underground is high spontaneous combustion risk.
7. The method of claim 6, wherein executing the corresponding pre-warning strategy based on the spontaneous combustion risk level of methane in the coal mine comprises: If the spontaneous combustion risk level of the underground coal mine is low, returning to the step of acquiring the methane concentration of a plurality of monitoring points of a plurality of areas of the underground coal mine in a plurality of acquisition modes, or If the spontaneous combustion risk level of the underground coal mine is the medium spontaneous combustion risk, generating an underground coal mine inspection list, and issuing the underground coal mine inspection list to an inspection staff so that the inspection staff can inspect the underground coal mine according to the underground coal mine inspection list, or And if the spontaneous combustion risk level of the underground coal mine is high, sending out alarm information to inform workers of withdrawing from the site.
8. Colliery methane spontaneous combustion risk early warning device in pit, its characterized in that includes: The data acquisition module is used for acquiring methane concentrations of a plurality of monitoring points in a plurality of areas under the coal mine in a plurality of acquisition modes; The credibility determining module is used for determining the confidence level of the current monitoring point in the current acquisition mode for each acquisition mode of each monitoring point of each area underground in the coal mine; The weight calculation module is used for determining the weight of the current monitoring point in each acquisition mode and the weight of the current monitoring point based on the confidence degrees of the current monitoring point in all the acquisition modes; The first weighting module is used for weighting the methane concentration of the current monitoring point in each acquisition mode according to the weight of the current monitoring point in each acquisition mode, and determining the methane concentration of the current monitoring point according to the weighting result; the second weighting module is used for weighting the methane concentration of each monitoring point of the current area according to the weights of all monitoring points of the current area, and determining a methane concentration early warning value of the current area according to a weighting result; The third weighting module is used for carrying out weighted summation on the methane concentration early-warning values of a plurality of areas in the coal mine to obtain the methane concentration early-warning values in the coal mine; And the early warning executing module is used for executing a grading early warning strategy based on the methane concentration early warning value under the coal mine.
9. An electronic device comprising a processor and a memory storing machine-readable instructions executable by the processor, the machine-readable instructions when executed by the processor performing the coal mine downhole methane spontaneous combustion risk warning method of any of claims 1-7.
10. A computer readable storage medium storing computer instructions which, when run on a computer, cause the computer to perform the coal mine downhole methane spontaneous combustion risk pre-warning method of any of claims 1 to 7.

Description

Coal mine underground methane spontaneous combustion risk early warning method, device, equipment and medium Technical Field The invention relates to the technical field of methane monitoring, in particular to a coal mine underground methane spontaneous combustion risk early warning method, a coal mine underground methane spontaneous combustion risk early warning device, electronic equipment and a computer readable storage medium. Background With the increasing depth and intensity of coal mining, downhole methane (gas) disaster control faces serious challenges. Methane is used as main associated gas in the coal mine production process, and abnormal accumulation and spontaneous combustion of the methane are one of key factors for inducing the explosion accident of heavy extra-large gas, so that the life safety of underground personnel and normal production of mines are seriously threatened. Traditional methane monitoring early warning system relies on single regional or single type sensor to carry out concentration monitoring more, however, the underground environment is complicated changeable, and the sensor is easily disturbed by multiple factors such as dust, humidity, air current, leads to data reliability not high, local risk identification ability is limited, is difficult to carry out accurate, comprehensive early warning to methane spontaneous combustion risk to leave the potential safety hazard. At present, a multi-sensor data fusion and regional monitoring strategy is mainly adopted. For example, multi-dimensional methane concentration information is obtained by arranging a plurality of monitoring points in different areas of the well and using sensors (such as infrared, catalytic combustion and the like) of different types or different acquisition modes. Furthermore, a statistical model or a simple weighted average algorithm is introduced into a part of the method, data from different monitoring points are integrated preliminarily, errors of a single data source are reduced, so that a more reliable regional methane concentration evaluation value is obtained, and support is provided for risk early warning. However, the prior art still has the following problems that (1) in the process of multi-data source fusion, the confidence level difference caused by the differences of equipment performance, installation position and environmental adaptability of different monitoring points and different acquisition modes is often not fully considered, and the quality of each data source is difficult to truly reflect only by simple data average or fixed weight distribution. (2) In the existing method, in the process of aggregating the data of the monitoring points to the overall risk of the area and integrating the area risk to the overall risk of the mine, a systematic multilevel weighting mechanism is lacking, and dynamic and quantitative weight distribution is not carried out on the risk contribution degree of each area and each area to the overall mine according to each monitoring point, so that the final early warning value is not strong in representativeness, and the early warning precision and sensitivity are limited. Disclosure of Invention The embodiment of the invention aims to provide a coal mine underground methane spontaneous combustion risk early warning method, device, equipment and medium, so as to solve the problems. In order to achieve the above purpose, the embodiment of the invention provides a coal mine underground methane spontaneous combustion risk early warning method, which comprises the following steps: acquiring methane concentrations of a plurality of monitoring points of a plurality of areas under a coal mine in a plurality of acquisition modes; for each acquisition mode of each monitoring point of each area underground in the coal mine: determining the confidence coefficient of the current monitoring point in the current acquisition mode; Determining the weight of the current monitoring point in each acquisition mode and the weight of the current monitoring point based on the confidence degrees of the current monitoring point in all the acquisition modes; Weighting the current monitoring point under each acquisition mode according to the weight of the current monitoring point, and determining the methane concentration of the current monitoring point according to the weighting result; Weighting the methane concentration of each monitoring point of the current area according to the weights of all monitoring points of the current area, and determining a methane concentration early warning value of the current area according to a weighting result; weighting and summing the methane concentration early-warning values of a plurality of areas in the coal mine to obtain the methane concentration early-warning value in the coal mine; And executing a grading early warning strategy based on the methane concentration early warning value under the coal mine. Optionally, determining the confidence