Mine hazardous gas monitoring method and system based on data analysis

Abstract

The invention discloses a mine hazardous gas monitoring method and system based on data analysis, and belongs to the technical field of gas monitoring. Carrying out operation period division on the mine operation time; uniformly dividing the mine into a plurality of sections; the method comprises the following steps: acquiring average hazardous gas concentration data, average temperature data and average humidity data in all sections in a single operation time period, constructing a data matrix of the operation time period, calculating a comprehensive gas risk index value in a single section, calculating a gas risk difference degree between two adjacent sections, and calculating a gas risk index value of the single section; the comprehensive gas risk difference degree of all the sections is calculated; based on the comprehensive gas risk difference degree, calculating a comprehensive gas risk difference degree change value between adjacent operation time periods; and presetting a threshold value, analyzing and outputting an early warning. According to the invention, by introducing a historical data trend analysis and difference degree evaluation mechanism, the risk of potential hazardous gas can be predicted earlier, the mine safety is improved, and a more reliable guarantee is provided for the operation of miners.

Description

Technical Field

[0001] This invention relates to the field of gas monitoring technology, specifically to a method and system for monitoring hazardous gases in mines based on data analysis. Background Technology

[0002] The mining environment is complex, and the concentration changes of hazardous gases such as methane and carbon monoxide are affected by multiple factors, including mining activities, ventilation systems, and temperature and humidity conditions. Failure to monitor and provide timely warnings in real time can lead to serious safety accidents such as explosions and poisoning. Traditional mine gas monitoring methods mainly rely on a combination of fixed sensor deployment and manual inspections, but this approach suffers from uneven sensor distribution, poor real-time performance, and low data utilization. In recent years, with the development of the Internet of Things (IoT), data analytics, and artificial intelligence (AI) technologies, intelligent monitoring systems based on sensor networks have been gradually applied to mine safety. These systems collect environmental data such as gas concentration, temperature, and humidity through multi-parameter sensors and use data processing algorithms to identify anomalies, enabling early warnings of hazardous gases. However, current technologies still have limitations in areas such as analyzing gas concentration change trends, calculating risk differences, and optimizing warning accuracy, affecting the reliability and practicality of mine safety monitoring systems.

[0003] The shortcomings of existing mine gas monitoring technologies are mainly reflected in the following aspects: Firstly, the data analysis methods are simplistic. Existing systems mostly rely on threshold judgment or simple statistical analysis, which cannot accurately depict the changing trends of gas concentration over time and space, making it difficult to capture potential danger signals. Secondly, there is a lack of comprehensive analysis of the differences in gas risk in different sections of the mine, leading to the neglect of potential risks in some sections and the inability to accurately locate high-risk areas. Thirdly, the early warning mechanisms are relatively simple. Most methods are based on analysis of single-point data or short-term windows, failing to fully utilize historical data for trend prediction, which easily leads to false alarms or missed alarms. Summary of the Invention

[0004] The purpose of this invention is to provide a method and system for monitoring hazardous gases in mines based on data analysis, so as to solve the problems mentioned in the background art.

[0005] To solve the above-mentioned technical problems, the present invention provides the following technical solution: A data analysis-based method for monitoring hazardous gases in mines includes the following steps: Step S1: Acquire the mine's production plan and historical production data, and divide the mine's operating time into operating periods; measure the length of the mine and divide it evenly into multiple sections according to the length; deploy hazardous gas concentration sensors and temperature and humidity sensors within the sections; Step S2: Acquire the average hazardous gas concentration data, average temperature data, and average humidity data of a single section within a single operating period; acquire the average hazardous gas concentration data, average temperature data, and average humidity data of all sections within a single operating period, and construct a data matrix for the operating periods; Step S3: Based on the data matrix for the operating periods, calculate the comprehensive gas risk index value within a single section, calculate the gas risk difference between two adjacent sections within a single operating period, and calculate the comprehensive gas risk difference between all sections within a single operating period; Step S4: Based on the comprehensive gas risk difference, calculate the change value of the comprehensive gas risk difference between adjacent operating periods; preset a threshold for the change value of the comprehensive gas risk difference, analyze and output an early warning.

[0006] As a preferred embodiment of the data analysis-based method for monitoring hazardous gases in mines according to the present invention, the mine's production plan and historical production data are obtained. Based on the production plan and historical production data, the mine's operating time is divided into operating periods on a daily basis and recorded as follows: ,in, Let i represent the i-th work period, and I represent the total number of work periods in a day; The length of the mine shaft is measured, and the mine shaft is evenly divided into N sections according to the length. Hazardous gas concentration sensors and temperature and humidity sensors are installed in each section, with one hazardous gas concentration sensor and one temperature and humidity sensor installed in each section. The hazardous gas concentration data in the nth section is recorded as follows: The temperature data in the nth segment is denoted as The humidity data in the nth segment is denoted as .

[0007] It should be noted that the phrase "measuring the length of the mine and dividing it into N equal sections according to the length" refers to a standardized data acquisition unit division based on the spatial geometric characteristics of the mine, which includes differentiated monitoring strategies for special areas. For example, in historical data, if the comprehensive gas risk index of a certain section (such as a ventilation dead zone or near the coal face) is high... If the gas level remains above the threshold, the system can automatically mark the area as a key monitoring section and optimize monitoring accuracy during subsequent operation periods by: temporarily adding mobile gas sensors within the marked section to increase data acquisition frequency; and calculating the gas risk difference between adjacent sections. At the same time, adjacent combinations containing key monitoring sections are assigned higher weighting factors to enhance the sensitivity to risk fluctuations in high-risk areas.

[0008] As a preferred embodiment of the data analysis-based method for monitoring hazardous gases in mines as described in this invention, the operating time periods are obtained respectively. The average hazardous gas concentration data, average temperature data, and average humidity data for the nth segment are recorded as follows: , and ; Obtaining job time slots Within the area, the average hazardous gas concentration data, average temperature data, and average humidity data are collected for all N sections, and the operation period is constructed. The data matrix is ​​as follows:

[0009] in, , and These represent the work periods. The average hazardous gas concentration data, average temperature data, and average humidity data for the Nth section.

[0010] As a preferred embodiment of the data analysis-based method for monitoring hazardous gases in mines as described in this invention, based on the working period... Given a data matrix, calculate the comprehensive gas risk index value for the nth segment using the following formula:

[0011] in, Indicates work period The comprehensive gas risk index value of the nth segment within the range. This indicates the maximum concentration of hazardous gases in historical records. This represents the maximum temperature recorded in historical data. This represents the maximum humidity value in historical records. , and These represent the weighting factors for the preset average hazardous gas concentration data, average temperature data, and average humidity data, respectively. Based on work period The comprehensive gas risk index value of the nth segment within the range Calculate the work period Within the zone, the difference in gas risk between two adjacent sections is calculated using the following formula:

[0012] in, Indicates work period The difference in gas risk between the nth segment and the (n+1)th segment. Indicates work period The comprehensive gas risk index value of the (n+1)th segment within the range; Based on work period Gas risk difference between the nth segment and the (n+1)th segment Calculate the work period The formula for calculating the overall gas risk difference across all sections is as follows:

[0013] in, Indicates work period The overall gas risk difference across all sections, where N represents the total number of sections.

[0014] As a preferred embodiment of the data analysis-based method for monitoring hazardous gases in mines as described in this invention, based on the working period... Overall gas risk variation across all sections The change in the overall gas risk difference between adjacent operation periods is calculated using the following formula:

[0015] in, Indicates work period With work hours The change in the overall gas risk difference between them Indicates work period The overall gas risk difference across all sections; Preset threshold for changes in overall gas risk variation, if during the work period With work hours Change in the overall gas risk difference between If the value is less than or equal to the threshold value of the change in comprehensive gas risk difference, it is determined that the comprehensive gas risk difference has decreased, the mine environment is stable, and the risk level of hazardous gases is low. If the work period With work hours Change in the overall gas risk difference between If the value exceeds the threshold for the change in the overall gas risk difference, it is determined that the overall gas risk difference has increased, the mine environment is unstable, and the risk level of hazardous gases is high, and an early warning is issued to relevant personnel.

[0016] A mine hazardous gas monitoring system based on data analysis, comprising: a data acquisition and segment division module, a matrix construction module, a risk index and difference calculation module, and a difference change value calculation and analysis module; The data acquisition and segmentation module acquires the mine's production plan and historical production data, and divides the mine's operating time into operating periods; measures the length of the mine and divides the mine into multiple segments according to the length; and installs hazardous gas concentration sensors and temperature and humidity sensors in the segments. The matrix construction module: acquires the average hazardous gas concentration data, average temperature data, and average humidity data of a single section within a single work period; acquires the average hazardous gas concentration data, average temperature data, and average humidity data of all sections within a single work period, and constructs a data matrix for the work period; The risk index and difference calculation module calculates the comprehensive gas risk index value within a single segment based on the data matrix of the operation period, calculates the gas risk difference between two adjacent segments within a single operation period, and calculates the comprehensive gas risk difference of all segments within a single operation period. The difference change value calculation and analysis module calculates the difference value of comprehensive gas risk between adjacent operation periods based on the comprehensive gas risk difference value; presets the threshold value of the comprehensive gas risk difference change value, analyzes and outputs early warning.

[0017] Furthermore, the data acquisition and segmentation module includes a data acquisition unit and a segmentation unit; The data acquisition unit acquires the mine's production plan and historical production data, and divides the mine's operating time into operating periods on a daily basis based on the production plan and historical production data. The segment division unit: measures the length of the mine shaft and divides the mine shaft into N segments evenly according to the length; hazardous gas concentration sensors and temperature and humidity sensors are installed in the segments, and one hazardous gas concentration sensor and one temperature and humidity sensor are installed in each segment.

[0018] Furthermore, the matrix construction module includes a matrix construction unit; The matrix construction unit: acquires the average hazardous gas concentration data, average temperature data, and average humidity data of the nth segment during the operation period; acquires the average hazardous gas concentration data, average temperature data, and average humidity data of all N segments during the operation period, and constructs a data matrix for the operation period.

[0019] Furthermore, the risk index and difference calculation module includes a risk index calculation unit and a difference calculation unit; The risk index calculation unit calculates the comprehensive gas risk index value in the nth segment based on the data matrix of the working period. The difference calculation unit: based on the comprehensive gas risk index value of the nth segment during the operation period, calculates the gas risk difference between two adjacent segments during the operation period; based on the gas risk difference between the nth segment and the (n+1)th segment during the operation period, calculates the comprehensive gas risk difference of all segments during the operation period.

[0020] Furthermore, the difference change value calculation and analysis module includes a difference change value calculation unit and an analysis unit; The difference change value calculation unit calculates the difference value of comprehensive gas risk between adjacent operation periods based on the comprehensive gas risk difference of all sections within the operation period. The analysis unit presets a threshold value for the change in comprehensive gas risk. If the change in comprehensive gas risk between adjacent work periods is less than or equal to the threshold value, it determines that the comprehensive gas risk difference has decreased, the mine environment is stable, and the hazardous gas risk level is low. If the change in comprehensive gas risk difference between adjacent work periods is greater than the threshold value, it determines that the comprehensive gas risk difference has increased, the mine environment is unstable, and the hazardous gas risk level is high, and an early warning is issued to relevant personnel.

[0021] Compared with existing technologies, the beneficial effects achieved by this invention are as follows: The data analysis-based method and system for monitoring hazardous gases in mines provided by this invention rationally divides mine operation time by acquiring production plans and historical data, and evenly deploys hazardous gas concentration sensors and temperature and humidity sensors in different sections of the mine to ensure the comprehensiveness and accuracy of data collection. Subsequently, a data matrix for each operation period is constructed, recording environmental parameters in different sections. This not only improves the systematic nature of data analysis but also provides complete characterization information for subsequent risk assessment. Based on this, a comprehensive gas risk index is calculated, and the gas risk difference between adjacent sections and the overall section is further calculated, achieving quantitative analysis of the internal environmental risk of the mine and accurately identifying local and global environmental changes. Finally, by monitoring the risk change trend between adjacent operation periods and combining it with preset thresholds for early warning judgment, the dynamic monitoring capability of the mine environment can be effectively improved, ensuring the accuracy of early warning and preventing safety accidents caused by a sharp increase in hazardous gas concentration. Compared to traditional static monitoring and single-indicator over-limit alarm modes, this invention introduces historical data trend analysis and difference assessment mechanisms to predict potential risks earlier, improve mine safety, and provide more reliable protection for mining operations. Attached Figure Description

[0022] The accompanying drawings are provided to further illustrate the invention and form part of the specification. They are used together with the embodiments of the invention to explain the invention and do not constitute a limitation thereof.

[0023] Figure 1 This is a schematic diagram illustrating the steps of a data analysis-based method for monitoring hazardous gases in mines according to the present invention. Figure 2 This is a schematic diagram of the structure of a mine hazardous gas monitoring system based on data analysis according to the present invention. Detailed Implementation

[0024] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0025] Please see Figure 1 In this first embodiment: a method for monitoring hazardous gases in mines based on data analysis is provided, the method comprising the following steps: Step S1: Obtain the mine's production plan and historical production data, and divide the mine's operation time into operation periods; measure the length of the mine, and divide the mine into multiple sections evenly according to the length; install hazardous gas concentration sensors and temperature and humidity sensors in the sections.

[0026] Specifically, the production plan and historical production data of the mine are obtained. Based on the production plan and historical production data, the mine's operating time is divided into working periods on a daily basis and recorded as follows: ,in, Let i represent the i-th work period, and I represent the total number of work periods in a day; Furthermore, the length of the mine is measured, and the mine is evenly divided into N sections according to the length; hazardous gas concentration sensors and temperature and humidity sensors are installed in each section, with one hazardous gas concentration sensor and one temperature and humidity sensor installed in each section; the hazardous gas concentration data in the nth section is recorded as follows. The temperature data in the nth segment is denoted as The humidity data in the nth segment is denoted as .

[0027] It should be noted that dividing the work into time periods allows the monitoring data to match the actual production situation of the mine, thereby improving the timeliness and relevance of the monitoring. Evenly dividing the area and installing sensors enables the systematic collection of gas concentration, temperature, and humidity data throughout the mine, avoiding missed or false alarms due to monitoring blind spots. This step ensures the comprehensiveness of data collection, providing high-quality input data for subsequent data matrix construction and risk analysis.

[0028] Step S2: Obtain the average hazardous gas concentration data, average temperature data, and average humidity data for a single section within a single work period; obtain the average hazardous gas concentration data, average temperature data, and average humidity data for all sections within a single work period, and construct a data matrix for the work period.

[0029] Specifically, obtain the work time periods separately. The average hazardous gas concentration data, average temperature data, and average humidity data for the nth segment are recorded as follows: , and ; Furthermore, obtain the work period. Within the area, the average hazardous gas concentration data, average temperature data, and average humidity data are collected for all N sections, and the operation period is constructed. The data matrix is ​​as follows:

[0030] in, , and These represent the work periods. The average hazardous gas concentration data, average temperature data, and average humidity data for the Nth section.

[0031] It should be noted that this matrix not only records environmental data from different sections but also displays the gas distribution characteristics of different sections within the mine, enhancing the systematic nature of data processing. By constructing this data matrix, it is possible not only to analyze gas concentrations in individual sections but also to achieve spatiotemporal variation analysis across the entire mine, improving data utilization efficiency. This matrix can serve as the basis for subsequent calculations of risk indices and assessments of risk change trends, enabling monitoring to move beyond static instantaneous value judgments to trend analysis based on historical data.

[0032] Step S3: Based on the data matrix of the operation period, calculate the comprehensive gas risk index value in a single segment, calculate the gas risk difference between two adjacent segments in a single operation period, and calculate the comprehensive gas risk difference of all segments in a single operation period.

[0033] Specifically, based on the work period Given a data matrix, calculate the comprehensive gas risk index value for the nth segment using the following formula:

[0034] in, Indicates work period The comprehensive gas risk index value of the nth segment within the range. This indicates the maximum concentration of hazardous gases in historical records. This represents the maximum temperature recorded in historical data. This represents the maximum humidity value in historical records. , and These represent the weighting factors for the preset average hazardous gas concentration data, average temperature data, and average humidity data, respectively. Furthermore, based on the work period The comprehensive gas risk index value of the nth segment within the range Calculate the work period Within the zone, the difference in gas risk between two adjacent sections is calculated using the following formula:

[0035] in, Indicates work period The difference in gas risk between the nth segment and the (n+1)th segment. Indicates work period The comprehensive gas risk index value of the (n+1)th segment within the range; Based on work period Gas risk difference between the nth segment and the (n+1)th segment Calculate the work period The formula for calculating the overall gas risk difference across all sections is as follows:

[0036] in, Indicates work period The overall gas risk difference across all sections, where N represents the total number of sections.

[0037] It should be noted that the comprehensive gas risk index, by considering multiple factors such as hazardous gas concentration, temperature, and humidity, can more accurately reflect the safety status of the mine environment, rather than relying solely on a single gas concentration value. Calculating the gas risk difference between adjacent sections helps to detect abrupt changes in the local environment within the mine, such as an abnormal increase in hazardous gas concentration in a local section, allowing for early warning of local risks. By calculating the comprehensive gas risk difference across all sections, the overall safety situation of the mine can be assessed, avoiding focusing solely on local areas while ignoring global changes.

[0038] Step S4: Based on the comprehensive gas risk difference, calculate the change value of the comprehensive gas risk difference between adjacent operation periods; preset the threshold of the comprehensive gas risk difference change value, analyze and output the early warning.

[0039] Specifically, based on the work period Overall gas risk variation across all sections The change in the overall gas risk difference between adjacent operation periods is calculated using the following formula:

[0040] in, Indicates work period With work hours The change in the overall gas risk difference between them Indicates work period The overall gas risk difference across all sections; Furthermore, a threshold value for the change in the overall gas risk difference is preset, if the operation period... With work hours Change in the overall gas risk difference between If the value is less than or equal to the threshold value of the change in comprehensive gas risk difference, it is determined that the comprehensive gas risk difference has decreased, the mine environment is stable, and the risk level of hazardous gases is low. If the work period With work hours Change in the overall gas risk difference between If the value exceeds the threshold for the change in the overall gas risk difference, it is determined that the overall gas risk difference has increased, the mine environment is unstable, and the risk level of hazardous gases is high, and an early warning is issued to relevant personnel.

[0041] It should be noted that, compared to traditional instantaneous concentration monitoring, this method can analyze risk change trends during continuous operation, thus detecting deteriorating mine environments in advance, rather than issuing alarms only when hazardous gas levels exceed limits. By setting a threshold for risk variation, false alarms caused by random fluctuations can be effectively filtered out, ensuring the reliability of early warning information and preventing excessive alarms from affecting normal production. When a continuous deterioration trend in the mine environment is detected, timely measures such as ventilation and personnel evacuation can be taken to prevent a sharp increase in hazardous gas concentrations from causing safety accidents, thereby significantly improving mine operation safety.

[0042] Please see Figure 2 In this second embodiment: a mine hazardous gas monitoring system based on data analysis is provided. The system includes: a data acquisition and segment division module, a matrix construction module, a risk index and difference calculation module, and a difference change value calculation and analysis module. The data acquisition and segmentation module acquires the mine's production plan and historical production data, and divides the mine's operating time into operating periods; measures the length of the mine and divides the mine into multiple segments according to the length; and installs hazardous gas concentration sensors and temperature and humidity sensors in the segments. The matrix construction module: acquires the average hazardous gas concentration data, average temperature data, and average humidity data of a single section within a single work period; acquires the average hazardous gas concentration data, average temperature data, and average humidity data of all sections within a single work period, and constructs a data matrix for the work period; The risk index and difference calculation module calculates the comprehensive gas risk index value within a single segment based on the data matrix of the operation period, calculates the gas risk difference between two adjacent segments within a single operation period, and calculates the comprehensive gas risk difference of all segments within a single operation period. The difference change value calculation and analysis module calculates the difference value of comprehensive gas risk between adjacent operation periods based on the comprehensive gas risk difference value; presets the threshold value of the comprehensive gas risk difference change value, analyzes and outputs early warning.

[0043] Furthermore, the data acquisition and segmentation module includes a data acquisition unit and a segmentation unit; The data acquisition unit acquires the mine's production plan and historical production data, and divides the mine's operating time into operating periods on a daily basis based on the production plan and historical production data. The segment division unit: measures the length of the mine shaft and divides the mine shaft into N segments evenly according to the length; hazardous gas concentration sensors and temperature and humidity sensors are installed in the segments, and one hazardous gas concentration sensor and one temperature and humidity sensor are installed in each segment.

[0044] Furthermore, the matrix construction module includes a matrix construction unit; The matrix construction unit: acquires the average hazardous gas concentration data, average temperature data, and average humidity data of the nth segment during the operation period; acquires the average hazardous gas concentration data, average temperature data, and average humidity data of all N segments during the operation period, and constructs a data matrix for the operation period.

[0045] Furthermore, the risk index and difference calculation module includes a risk index calculation unit and a difference calculation unit; The risk index calculation unit calculates the comprehensive gas risk index value in the nth segment based on the data matrix of the working period. The difference calculation unit: based on the comprehensive gas risk index value of the nth segment during the operation period, calculates the gas risk difference between two adjacent segments during the operation period; based on the gas risk difference between the nth segment and the (n+1)th segment during the operation period, calculates the comprehensive gas risk difference of all segments during the operation period.

[0046] Furthermore, the difference change value calculation and analysis module includes a difference change value calculation unit and an analysis unit; The difference change value calculation unit calculates the difference value of comprehensive gas risk between adjacent operation periods based on the comprehensive gas risk difference of all sections within the operation period. The analysis unit presets a threshold value for the change in comprehensive gas risk. If the change in comprehensive gas risk between adjacent work periods is less than or equal to the threshold value, it determines that the comprehensive gas risk difference has decreased, the mine environment is stable, and the hazardous gas risk level is low. If the change in comprehensive gas risk difference between adjacent work periods is greater than the threshold value, it determines that the comprehensive gas risk difference has increased, the mine environment is unstable, and the hazardous gas risk level is high, and an early warning is issued to relevant personnel.

[0047] Please refer to Table 1. In this third embodiment, a method for monitoring hazardous gases in mines based on data analysis is provided. To verify the beneficial effects of the present invention, a simulation experiment is conducted for scientific demonstration.

[0048] Seven key measuring points were selected as the mine section (N=7), corresponding to the "uniform division" in this application. The measuring points include: No. 1 (intake air corner), No. 2, No. 3, No. 4, No. 5, No. 6, and No. 7 (return air corner). Two consecutive days were selected as the working period. and Using CH4 concentration as... (Due to its high risk of explosion), and CO is added as a reference; Preset It is 0.6. It is 0.2. The value is 0.2, the highest historical value for hazardous gas concentration. It is 40.35%, the highest temperature recorded in history. The temperature was 26.8℃, the highest recorded humidity level in history. It is 79.9%.

[0049] Table 1 Data Table

[0050] Substituting this into the formula for calculating the comprehensive gas risk index, we can see that... , , , , , , ; , , , , , , ; , , , , , ; , ; ; Assuming the threshold for the change in the overall gas risk variability is 0.025 (based on historical data and expert calculations), then... If the value exceeds the threshold for the change in the overall gas risk difference, it is determined that the overall gas risk difference has increased, the mine environment is unstable, and the risk level of hazardous gases is high, and an early warning is issued to relevant personnel.

[0051] It should be noted that, in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article, or apparatus.

[0052] Finally, it should be noted that the above descriptions are merely preferred embodiments of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art can still modify the technical solutions described in the foregoing embodiments or make equivalent substitutions for some of the technical features. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A method for monitoring hazardous gases in mines based on data analysis, characterized in that, The method includes the following steps: Step S1: Obtain the mine's production plan and historical production data, and divide the mine's operation time into operation periods; measure the length of the mine, and divide the mine into multiple sections evenly according to the length; install hazardous gas concentration sensors and temperature and humidity sensors in the sections; Step S2: Obtain the average hazardous gas concentration data, average temperature data, and average humidity data for a single section within a single work period; obtain the average hazardous gas concentration data, average temperature data, and average humidity data for all sections within a single work period, and construct a data matrix for the work period. Step S3: Based on the data matrix of the operation period, calculate the comprehensive gas risk index value in a single segment, calculate the gas risk difference between two adjacent segments in a single operation period, and calculate the comprehensive gas risk difference of all segments in a single operation period. Step S4: Based on the comprehensive gas risk difference, calculate the change value of the comprehensive gas risk difference between adjacent operation periods; preset the threshold for the change value of the comprehensive gas risk difference, analyze and output the early warning; The specific implementation process of step S1 includes: Obtain the mine's production plan and historical production data. Based on the production plan and historical production data, divide the mine's operating time into work periods on a daily basis, and record them as follows: ,in, Let i represent the i-th work period, and I represent the total number of work periods in a day; The length of the mine shaft is measured, and the mine shaft is evenly divided into N sections according to the length. Hazardous gas concentration sensors and temperature and humidity sensors are installed in each section, with one hazardous gas concentration sensor and one temperature and humidity sensor installed in each section. The hazardous gas concentration data in the nth section is recorded as follows: The temperature data in the nth segment is denoted as The humidity data in the nth segment is denoted as ; The specific implementation process of step S2 includes: Obtain the work period separately The average hazardous gas concentration data, average temperature data, and average humidity data for the nth segment are recorded as follows: , and ; Get job time slot Within the area, the average hazardous gas concentration data, average temperature data, and average humidity data are collected for all N sections, and the operation period is constructed. The data matrix is ​​as follows: in, , and These represent the work periods. The average hazardous gas concentration data, average temperature data, and average humidity data for the Nth section.

2. The method for monitoring hazardous gases in mines based on data analysis according to claim 1, characterized in that, The specific implementation process of step S3 includes: Based on work period Given a data matrix, calculate the comprehensive gas risk index value for the nth segment using the following formula: in, Indicates work period The comprehensive gas risk index value of the nth segment within the range. This indicates the maximum concentration of hazardous gases in historical records. This represents the maximum temperature recorded in historical data. This represents the maximum humidity value in historical records. , and These represent the weighting factors for the preset average hazardous gas concentration data, average temperature data, and average humidity data, respectively. Based on work period The comprehensive gas risk index value of the nth segment within the range Calculate the work period Within the zone, the difference in gas risk between two adjacent sections is calculated using the following formula: in, Indicates work period The difference in gas risk between the nth segment and the (n+1)th segment. Indicates work period The comprehensive gas risk index value of the (n+1)th segment within the range; Based on work period Gas risk difference between the nth segment and the (n+1)th segment Calculate the work period The formula for calculating the overall gas risk difference across all sections is as follows: in, Indicates work period The overall gas risk difference across all sections, where N represents the total number of sections.

3. The method for monitoring hazardous gases in mines based on data analysis according to claim 2, characterized in that, The specific implementation process of step S4 includes: Based on work period Overall gas risk variation across all sections The change in the overall gas risk difference between adjacent operation periods is calculated using the following formula: in, Indicates work period With work hours The change in the overall gas risk difference between them Indicates work period The overall gas risk difference across all sections; Preset threshold for changes in overall gas risk variation, if during the work period With work hours Change in the overall gas risk difference between If the value is less than or equal to the threshold value of the change in comprehensive gas risk difference, it is determined that the comprehensive gas risk difference has decreased, the mine environment is stable, and the risk level of hazardous gases is low. If the work period With work hours Change in the overall gas risk difference between If the value exceeds the threshold for the change in the overall gas risk difference, it is determined that the overall gas risk difference has increased, the mine environment is unstable, and the risk level of hazardous gases is high, and an early warning is issued to relevant personnel.

4. A mine hazardous gas monitoring system based on data analysis, executing the mine hazardous gas monitoring method based on data analysis as described in any one of claims 1-3, characterized in that, The system includes: a data acquisition and segmentation module, a matrix construction module, a risk index and difference calculation module, and a difference change value calculation and analysis module; The data acquisition and segmentation module acquires the mine's production plan and historical production data, and divides the mine's operating time into operating periods; measures the length of the mine and divides the mine into multiple segments according to the length; and installs hazardous gas concentration sensors and temperature and humidity sensors in the segments. The matrix construction module: acquires the average hazardous gas concentration data, average temperature data, and average humidity data of a single section within a single work period; acquires the average hazardous gas concentration data, average temperature data, and average humidity data of all sections within a single work period, and constructs a data matrix for the work period; The risk index and difference calculation module calculates the comprehensive gas risk index value within a single segment based on the data matrix of the operation period, calculates the gas risk difference between two adjacent segments within a single operation period, and calculates the comprehensive gas risk difference of all segments within a single operation period. The difference change value calculation and analysis module calculates the difference value of comprehensive gas risk between adjacent operation periods based on the comprehensive gas risk difference value; presets the threshold value of the comprehensive gas risk difference change value, analyzes and outputs early warning.

5. A mine hazardous gas monitoring system based on data analysis according to claim 4, characterized in that: The data acquisition and segmentation module includes a data acquisition unit and a segmentation unit; The data acquisition unit acquires the mine's production plan and historical production data, and divides the mine's operating time into operating periods on a daily basis based on the production plan and historical production data. The segment division unit: measures the length of the mine shaft and divides the mine shaft into N segments evenly according to the length; hazardous gas concentration sensors and temperature and humidity sensors are installed in the segments, and one hazardous gas concentration sensor and one temperature and humidity sensor are installed in each segment.

6. A mine hazardous gas monitoring system based on data analysis according to claim 5, characterized in that: The matrix construction module includes a matrix construction unit; The matrix construction unit: acquires the average hazardous gas concentration data, average temperature data, and average humidity data of the nth segment during the operation period; acquires the average hazardous gas concentration data, average temperature data, and average humidity data of all N segments during the operation period, and constructs a data matrix for the operation period.

7. A mine hazardous gas monitoring system based on data analysis according to claim 6, characterized in that: The risk index and difference calculation module includes a risk index calculation unit and a difference calculation unit; The risk index calculation unit calculates the comprehensive gas risk index value in the nth segment based on the data matrix of the working period. The difference calculation unit calculates the gas risk difference between two adjacent sections during the operation period based on the comprehensive gas risk index value of the nth section within the operation period. Based on the gas risk difference between the nth and (n+1)th sections during the operation period, the comprehensive gas risk difference of all sections during the operation period is calculated.

8. A mine hazardous gas monitoring system based on data analysis according to claim 7, characterized in that: The difference change value calculation and analysis module includes a difference change value calculation unit and an analysis unit; The difference change value calculation unit calculates the difference value of comprehensive gas risk between adjacent operation periods based on the comprehensive gas risk difference of all sections within the operation period. The analysis unit: presets a threshold value for the change in comprehensive gas risk difference. If the change value for the change in comprehensive gas risk difference between adjacent working periods is less than or equal to the threshold value, it is determined that the comprehensive gas risk difference has decreased, the mine environment is stable, and the hazardous gas risk level is low. If the change in the overall gas risk difference between adjacent work periods exceeds the threshold for the change in overall gas risk difference, it is determined that the overall gas risk difference has increased, the mine environment is unstable, and the risk level of hazardous gases is high, and an early warning is issued to relevant personnel.

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