A safety monitoring method for coal mine tunneling personnel

Abstract

The present invention discloses a safety monitoring method for coal mine tunneling personnel. The present invention divides the underground mine into multiple areas, sets the proportions of the multiple areas, matches the activity behaviors of each person in each divided area with a plurality of preset illegal behavior actions to obtain the illegal behavior actions of each person in the corresponding area, analyzes the head image information of the personnel in each divided area, and matches it with the preset safety helmet wearing image to obtain the personnel safety assessment index of the corresponding area. The facial information of the personnel in each divided area is collected and matched, and the previous facial collection information of the person is retrieved and analyzed to obtain the personnel status assessment index. By comprehensively analyzing the above parameters, the risk degree of the personnel in the corresponding area can be reflected, realizing intelligent monitoring while improving safety.

Description

Technical Field

[0001] This application relates to the field of coal mine safety technology, and particularly to a method for safety monitoring of coal mine tunneling personnel. Background Art

[0002] To avoid the occurrence of coal mine safety accidents, many coal mine enterprises have strengthened their attention to safe production.

[0003] However, the following problems still exist in the actual process of monitoring the safety of personnel during coal mine tunneling operations:

[0004] 1. Generally, only manual use of video cameras can be used to monitor each area in the mine in real time. Real-time monitoring by manual is required, which is prone to errors. It is impossible to analyze each personnel activity segment in each divided area in the mine shaft to determine whether there are any violations by personnel and give corresponding warnings. The degree of safety intelligent monitoring is relatively low.

[0005] 2. When considering the personnel activity behavior, it is impossible to comprehensively analyze it with the environmental factors of the mine where the personnel are located. The considered factors are relatively single, resulting in a still relatively high potential safety hazard.

[0006] Therefore, a method for safety monitoring of coal mine tunneling personnel is introduced. Summary of the Invention

[0007] In order to solve the problem in the prior art that personnel safety monitoring cannot analyze each personnel activity segment in each divided area in the mine shaft to determine whether there are any violations by personnel and give corresponding warnings, this application provides a method for safety monitoring of coal mine tunneling personnel.

[0008] A method for safety monitoring of coal mine tunneling personnel provided by this application adopts the following technical solution: A method for safety monitoring of coal mine tunneling personnel, including:

[0009] S1: Analyze the personnel behavior and working status in each divided area during the mine monitoring time period to obtain the personnel hidden danger assessment index PHj for each divided area. Specifically:

[0010] Monitor the activities of each person in each divided area in the mine using the monitoring cameras installed in each divided area, match the activities of each person with multiple preset illegal action behaviors, so as to obtain the illegal action behaviors of each person in the corresponding area. Set that each illegal action behavior corresponds to an illegal assessment index respectively. Match the illegal action behaviors of each person with the set illegal index to obtain the illegal index of each person. Add up the illegal indexes of each person in the corresponding area to obtain the total illegal index ZKj; collect the head image information of each person in each divided area and match it with the preset safety helmet wearing image, and count the number of people not wearing safety helmets in each divided area to obtain the personnel safety assessment index ZPj;

[0011] Collect the facial information of the personnel in each divided area using the monitoring cameras, and match the facial information of each person to obtain the on-duty information of the employee. When the facial information of the employee is collected each time, compare it with the facial information recorded last time. If the match is successful, update the timestamp of the employee's last entry into the corresponding area until the match fails. Calculate the time difference between the timestamp of the employee's last entry and the current time to obtain the continuous working hours of the corresponding employee. Compare the continuous working hours of each employee with the preset threshold, and count the number of employees exceeding the threshold to obtain the personnel status assessment index ZEj;

[0012] Substitute the total illegal index ZKj, the personnel safety assessment index ZPj, and the personnel status assessment index ZEj of the corresponding area during the mine monitoring time period into the formula Perform calculations to obtain the personnel hidden danger assessment index PHj, where FMj, F Hj, and FDj are the total illegal index threshold, the personnel safety assessment index threshold, and the personnel status assessment index threshold corresponding to each divided area of the mine respectively, ou1, ou2, and ou3 are the influence weight factors of the total illegal index ZKj, the personnel safety assessment index ZPj, and the personnel status assessment index ZEj respectively, and EKj is the preset proportion coefficient corresponding to each divided area of the mine.

[0013] Optionally, S2: Analyze the number of personnel in each divided area during the mine monitoring time period to obtain the personnel number assessment index PUj of each divided area. Perform normalization processing between the personnel hidden danger assessment index PHj and the personnel number assessment index PUj of each divided area during the mine monitoring time period to obtain the personnel risk assessment index HTj. Specifically:

[0014] The number of people in each divided area during the mine monitoring period is obtained by using a surveillance camera, and the total number of people in each divided area during the monitoring period is obtained; the environmental hazard assessment index of each divided area during the monitoring period is matched within a preset value range, and a corresponding allowable number of people is set for each value range, so as to obtain the allowable number of people in the corresponding area during the monitoring period. The total number of people is compared with the allowable number of people, and further analysis is carried out according to the comparison result to obtain the personnel quantity assessment index HPj of the mine corresponding to the monitoring period, specifically as follows:

[0015] Substitute into the formula Calculate to obtain the personnel hazard assessment index PUj of each divided area in the mine corresponding to this monitoring period, where ey1 is the influence weight factor of the difference between the total number of people XP and the allowable number of people XQ in the mine;

[0016] Substitute the personnel hazard assessment index PHj and the personnel quantity assessment index PUj of each divided area during the mine monitoring period into the formula HTj = (PHj×eg1 + PUj×eg2)×α for calculation to obtain the personnel risk assessment index HTj of each divided area, where eg1 and eg2 are the influence weight factors of the personnel hazard assessment index PHj and the personnel quantity assessment index PUj in each divided area respectively, and α is a preset correction factor.

[0017] Optionally, S3: Analyze the temperature, coal dust concentration, and gas concentration of each divided area during the mine monitoring period to obtain the regional environment assessment index QYj of each divided area, specifically as follows:

[0018] Use a temperature sensor to detect the temperature values of each divided area during the mine monitoring period, obtain the temperature values of each time point in the mine corresponding to this monitoring period, substitute the temperature values of each time point in each divided area into a line graph for representation, plot the numerical points corresponding to the temperature values in the line graph, connect adjacent two numerical points to obtain a numerical diagonal line, calculate the angle between each numerical diagonal line and the horizontal line. When the angle between the numerical diagonal line and the horizontal line is an acute angle, mark this numerical diagonal line as the first diagonal line. When the angle between the numerical diagonal line and the horizontal line is an obtuse angle, mark this numerical diagonal line as the second diagonal line. Respectively use the first diagonal line and the second diagonal line as the diagonals of a rectangle to construct a rectangle, and calculate the area of each rectangle respectively. Add up the areas of the rectangles constructed by all the first diagonal lines to obtain the first variation value DAj, add up the areas of the rectangles constructed by all the second diagonal lines to obtain the second variation value DBj, and obtain the temperature change ratio KFj of each divided area in the mine corresponding to this monitoring period through the ratio of the second variation value DBj to the first variation value DAj;

[0019] Use a coal dust detection instrument to monitor the coal dust concentration in each divided area during the mine monitoring period, obtain the coal dust concentration at each time point in the mine corresponding to the monitoring period, substitute the coal dust concentration at each time point in each divided area into the curve graph for representation, draw a threshold line corresponding to the coal dust concentration threshold in the curve graph. When the coal dust concentration curve is higher than the threshold line, calculate the shaded area formed between the coal dust concentration curve and the threshold line. At the same time, count the number CBj of the formed shaded areas, add up the formed shaded areas to obtain the total shaded area CAj. Substitute the total shaded area CAj and the number CBj of shaded areas in each divided area into the formula YAj = CAj × s1 + CBj × s2 for calculation to obtain the coal dust over-limit value YAj, where s1 and s2 are the influence weight factors of the total shaded area CAj and the number CBj of shaded areas in each divided area respectively. At the same time, obtain the duration corresponding to each shaded area and add them up to get the over-limit duration YBj. Substitute the coal dust over-limit value YAj, the over-limit duration YBj, and the highest concentration value YCj in each divided area into the formula for calculation to obtain the coal dust change value KLJ, where a1, a2, and a3 are the influence weight factors of the coal dust over-limit value YAj, the over-limit duration YBj, and the highest concentration value YCj in each divided area respectively;

[0020] Use a gas concentration sensor to monitor the gas concentration in each divided area during the mine monitoring period, and obtain the highest gas concentration value KTj in each divided area corresponding to the monitoring period;

[0021] Substitute the temperature change ratio KFj, the coal dust change value KLJ, and the highest gas concentration value KTj in each divided area of the mine during the monitoring period into the formula for calculation to obtain the regional environment assessment index QYj of the corresponding area;

[0022] where KAj, KBj, and KCj are the allowable threshold values of the temperature change ratio, the allowable threshold value of the coal dust change value, and the highest gas concentration threshold in the corresponding divided areas respectively, d1, d2, and d3 are the influence weight factors of the temperature change ratio KFj, the coal dust change value KLJ, and the highest gas concentration value KTj in each divided area respectively, and μ is a preset correction factor.

[0023] Optionally, S4: Analyze the usage situation of each operating device during the mine monitoring period to obtain the device usage assessment index SBi of each operating device. Obtain the divided area to which each operating device in the mine belongs, and perform normalization processing between the device usage assessment index SBi in the corresponding area and the regional environment assessment index QYj to obtain the environmental hazard assessment index HVY of each divided area during the mine monitoring period. Specifically:

[0024] Obtain the operation duration of each operation of each operating device from the historical record log of each operating device underground in the mine. Add up the operation durations of each corresponding device each time and calculate the average value to obtain the average operation duration PAi. Obtain the last maintenance date of each operating device underground in the mine, and calculate the time difference between the last maintenance date of the corresponding device and the current time to obtain the maintenance duration PBi. At the same time, obtain the service life PCi and the number of repairs PDi of each operating device underground in the mine.

[0025] Substitute the average operation duration PAi, maintenance duration PBi, service life PCi, and number of repairs PDi of each operating device underground in the mine into the formula SBi = PAi×e1 + PBi×e2 + PCi×e3 + PDi×e4 for calculation to obtain the device usage evaluation index SBi, where e1, e2, e3, and e4 are the influence weight factors of the average operation duration PAi, maintenance duration PBi, service life PCi, and number of repairs PDi of each operating device respectively.

[0026] Obtain the division areas where each operating device underground in the mine is located, and substitute the device usage evaluation index SBi in the corresponding area and the regional environment evaluation index QYj into the formula for calculation to obtain the environmental hazard evaluation index HVj of each division area during the mine monitoring time period, where k is the total number of operating devices in each division area, and df1 and df2 are the influence weight factors of the device usage evaluation index SBi and the regional environment evaluation index QYj in each division area respectively.

[0027] Optionally, S5: Conduct a comprehensive analysis of the personnel risk assessment index HTj and the environmental hazard evaluation index of each division area during the mine monitoring time period to obtain the risk level evaluation index of the division area where the personnel are located, and substitute the obtained risk level evaluation index into the preset value range to obtain the warning level of the corresponding division area of the mine during this monitoring time period. Generate a corresponding instruction according to the obtained warning level and execute the corresponding operation. Specifically:

[0028] Normalize the personnel risk assessment index HTj and the environmental hazard evaluation index HVj of each division area during the mine monitoring time period and substitute them into the formula for calculation to obtain the risk level evaluation index WXj of each division area during the corresponding monitoring time period of the mine, where LAj and LBj are the allowable thresholds of the personnel risk assessment index and the environmental hazard evaluation index in each division area respectively, and vc1 and vc2 are the influence weight factors of the personnel risk assessment index HTj and the environmental hazard evaluation index HVj in each division area respectively.

[0029] Substitute the obtained risk level assessment index WXH into the preset value range to generate the corresponding warning level, and display the generated warning level.

[0030] In summary, the present application includes at least one of the following beneficial technical effects:

[0031] In the present invention, the underground mine is divided into multiple regions, and the proportions of the multiple regions are set. The activity behaviors of each person in each divided region are matched with a plurality of preset violation action behaviors to obtain the violation action behaviors of each person in the corresponding region. The head image information of the personnel in each divided region is analyzed and matched with the preset safety helmet wearing image to obtain the personnel safety assessment index of the corresponding region. The facial information of the personnel in each divided region is collected and matched, and the previous facial collection information of the person is retrieved and analyzed to obtain the personnel status assessment index. By comprehensively analyzing the above parameters, the risk degree of the personnel in the corresponding region can be reflected, realizing intelligent monitoring while improving safety.

[0032] Based on the analysis of the personnel risk program, the present invention synthesizes various factors of the environment where the personnel are located to obtain the risk level assessment index of the divided region where the personnel are located. According to the obtained risk level assessment index, the risk degree of the personnel in the corresponding region can be reflected, so as to issue a corresponding warning display according to the risk level assessment index, avoid risks in a timely manner, and reduce the occurrence of safety accidents. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] In the following description of the exemplary embodiments in conjunction with the drawings, more details, features and advantages of the present application are disclosed. In the drawings:

[0034] Figure 1 is a flowchart of the present invention;

[0035] Figure 2 is a broken line graph of temperature change in the present invention;

[0036] Figure 3 is a curve graph of coal dust concentration change in the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0037] The following will describe several embodiments of the present application in more detail with reference to the drawings so that those skilled in the art can implement the present application. The present application can be embodied in many different forms and purposes and should not be limited to the embodiments described herein. These embodiments are provided to make the present application comprehensive and complete, and to fully convey the scope of the present application to those skilled in the art. The embodiments do not limit the present application.

[0038] Unless otherwise defined, all terms used herein (including technical and scientific terms) have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. It will be further understood that terms such as those defined in commonly used dictionaries should be interpreted as having a meaning consistent with their meaning in the relevant art and / or the context of this specification, and will not be interpreted in an idealized or overly formal sense unless expressly so defined herein.

[0039] Embodiment

[0040] Please refer to Figure 1 - Figure 3 As shown, a safety monitoring method for coal mine tunneling personnel includes:

[0041] S1: Analyze the behavior and working status of personnel in each divided area during the mine monitoring time period to obtain the personnel hidden danger assessment index PHj of each divided area, specifically:

[0042] Use the monitoring cameras installed in each divided area of the mine to monitor the activity behaviors of each person in each divided area, match each person's activity behaviors with a plurality of preset illegal behavior actions, so as to obtain the illegal behavior actions of each person in the corresponding area. Set that each illegal behavior action corresponds to an illegal assessment index respectively, match the illegal behavior actions of each person with the set illegal index to obtain the illegal index of each person, and add up the illegal indexes of each person in the corresponding area to obtain the total illegal index ZKj; Collect the head image information of each person in each divided area, and match it with the preset helmet-wearing image, and count the number of people not wearing helmets in each divided area to obtain the personnel safety assessment index ZPj;

[0043] It should be noted that the illegal behavior work of personnel includes but is not limited to smoking, moving along an unauthorized route, and crossing the safety fence.

[0044] Use the monitoring camera to collect the facial information of the personnel in each divided area, and match the facial information of each person to obtain the on-the-job information of the employee. When the facial information of the employee is collected each time, compare it with the previously recorded facial information. If the match is successful, update the time stamp of the employee's last entry into the corresponding area until the match fails. Calculate the time difference between the time stamp of the employee's last entry and the current time to obtain the continuous working duration of the corresponding employee, compare the continuous working duration of each employee with the preset threshold, and count the number of employees exceeding the threshold to obtain the personnel status assessment index ZEj;

[0045] Substitute the total illegal index ZKj, personnel safety assessment index ZPj, and personnel status assessment index ZEj of the corresponding area during the mine monitoring time period into the formula Calculate to obtain the personnel hidden danger assessment index PHj, where FMj, F Hj, and F Dj are the total violation index thresholds, personnel safety assessment index thresholds, and personnel status assessment index thresholds corresponding to each divided area of the mine respectively, ou1, ou2, and ou3 are the influence weight factors of the total violation index ZKj, personnel safety assessment index ZPj, and personnel status assessment index ZEj respectively, and EKj is the preset proportion coefficient corresponding to each divided area of the mine.

[0046] S2: Analyze the number of personnel in each divided area during the mine monitoring period to obtain the personnel quantity assessment index PUj of each divided area. Normalize the personnel hidden danger assessment index PHj and the personnel quantity assessment index PUj of each divided area during the mine monitoring period to obtain the personnel risk assessment index HTj. Specifically:

[0047] Use surveillance cameras to obtain the number of personnel in each divided area during the mine monitoring period to get the total number of people in each divided area during the monitoring period; match the environmental hidden danger assessment index of each divided area during the monitoring period within a preset value range, and set that each value range corresponds to an allowable number of people respectively to obtain the allowable number of people in the corresponding area during this monitoring period. Compare the total number of people with the allowable number of people, and conduct further analysis based on the comparison result to obtain the personnel quantity assessment index HPj of the mine during the corresponding monitoring period. Specifically:

[0048] Substitute into the formula Calculate to obtain the personnel hidden danger assessment index PUj of each divided area in the mine during this monitoring period, where ey1 is the influence weight factor of the difference between the total number of people XP in the mine and the allowable number of people XQ;

[0049] Substitute the personnel hidden danger assessment index PHj and the personnel quantity assessment index PUj of each divided area during the mine monitoring period into the formula HTj = (PHj × eg1 + PUj × eg2) × α, and calculate to obtain the personnel risk assessment index HTj of each divided area, where eg1 and eg2 are the influence weight factors of the personnel hidden danger assessment index PHj and the personnel quantity assessment index PUj in each divided area respectively, and α is the preset correction factor.

[0050] S3: Analyze the temperature, coal dust concentration, and gas concentration in each divided area during the mine monitoring period to obtain the regional environment assessment index QYj of each divided area. Specifically:

[0051] The temperature values of each divided area during the mine monitoring period are detected by using a temperature sensor, and the temperature values of the mine at each time point corresponding to the monitoring period are obtained. The temperature values of each time point in each divided area are represented in a line graph, and the numerical points corresponding to the temperature values are plotted in the line graph. The adjacent numerical points are connected to obtain a numerical slope line. The angle between each section of the numerical slope line and the horizontal line is calculated. When the angle between the numerical slope line and the horizontal line is an acute angle, the numerical slope line is marked as the first slope line. When the angle between the numerical slope line and the horizontal line is an obtuse angle, the numerical slope line is marked as the second slope line. Rectangles are constructed with the first slope line and the second slope line as the diagonals of the rectangle respectively, and the areas of each rectangle are calculated respectively. The areas of the rectangles constructed by all the first slope lines are added together to obtain the first variation value DAj, and the areas of the rectangles constructed by all the second slope lines are added together to obtain the second variation value DBj. The temperature change ratio KFj of each divided area of the mine corresponding to the monitoring period is obtained through the ratio between the second variation value DBj and the first variation value DAj;

[0052] The dust concentration of each divided area during the mine monitoring period is monitored by using a dust detection instrument, and the dust concentration of the mine at each time point corresponding to the monitoring period is obtained. The dust concentrations of each time point in each divided area are represented in a curve graph, and the threshold line corresponding to the dust concentration threshold of each divided area is plotted in the curve graph. When the dust concentration curve is higher than the threshold line, the shaded area formed between the dust concentration curve and the threshold line is calculated. At the same time, the number of shaded areas formed CBj is counted. The shaded areas formed are added together to obtain the total shaded area CAj. The total shaded area CAj and the number of shaded areas CBj of each divided area are substituted into the formula YAj = CAj × s1 + CBj × s2 for calculation to obtain the dust over-limit YAj, where s1 and s2 are the influence weight factors of the total shaded area CAj and the number of shaded areas CBj of each divided area respectively. At the same time, the duration corresponding to each shaded area is obtained and added together to obtain the over-time duration YBj. The dust over-limit YAj, the over-time duration YBj, and the highest concentration value YCj of each divided area are substituted into the formula for calculation to obtain the dust variation value KLj, where a1, a2, and a3 are the influence weight factors of the dust over-limit YAj, the over-time duration YBj, and the highest concentration value YCj of each divided area respectively;

[0053] The gas concentration of each divided area during the mine monitoring period is monitored by using a gas concentration sensor, and the highest gas concentration value KTj of each divided area during the corresponding monitoring period is obtained;

[0054] The temperature change ratio KFj, the dust variation value KLj, and the highest gas concentration value KTj of each divided area in the mine during the monitoring period are substituted into the formula Perform calculations to obtain the regional environmental assessment index QYj of the corresponding area;

[0055] Wherein KAj, KBj, and KCj are respectively the allowable threshold values of temperature change ratio, the allowable threshold values of coal dust change value, and the maximum gas concentration threshold value in each corresponding divided area, d1, d2, and d3 are respectively the influence weight factors of temperature change ratio KFj, coal dust change value KLj, and maximum gas concentration value KTj in each divided area, and μ is a preset correction factor.

[0056] S4: Analyze the usage conditions of each operating device during the mine monitoring period to obtain the device usage assessment index SBi of each operating device, obtain the divided areas to which each operating device in the mine belongs, and perform normalization processing between the device usage assessment index SBi in the corresponding area and the regional environmental assessment index QYj to obtain the environmental hazard assessment index HVY of each divided area during the mine monitoring period, specifically:

[0057] Obtain the operating duration of each operation of each operating device from the historical record logs of each operating device in the mine, add up the operating durations of each corresponding device each time and take the average value to obtain the average operation duration PAi; obtain the last maintenance date of each operating device in the mine, calculate the time difference between the last maintenance date of the corresponding device and the current moment to obtain the maintenance duration PBi; at the same time, obtain the used years PCi and the number of repairs PDi of each operating device in the mine;

[0058] Substitute the average operation duration PAi, maintenance duration PBi, used years PCi, and number of repairs PDi of each operating device in the mine into the formula SBi = PAi×e1 + PBi×e2 + PCi×e3 + PDi×e4 for calculation to obtain the device usage assessment index SBi, where e1, e2, e3, and e4 are respectively the influence weight factors of the average operation duration PAi, maintenance duration PBi, used years PCi, and number of repairs PDi of each operating device;

[0059] Obtain the divided areas to which each operating device in the mine belongs, and substitute the device usage assessment index SBi in the corresponding area and the regional environmental assessment index QYj into the formula Perform calculations to obtain the environmental hazard assessment index HVj of each divided area during the mine monitoring period, where k is the total number of operating devices in each divided area, and df1 and df2 are respectively the influence weight factors of the device usage assessment index SBi and the regional environmental assessment index QYj in each divided area.

[0060] S5: Conduct a comprehensive analysis between the personnel risk assessment index HTj and the environmental hazard assessment index for each divided area during the mine monitoring period to obtain the risk level assessment index of the divided area where the personnel are located. Substitute the obtained risk level assessment index into the preset value range to obtain the warning level of the corresponding divided area of the mine during this monitoring period. Generate corresponding instructions based on the obtained warning level and execute corresponding operations. Specifically:

[0061] Normalize the personnel risk assessment index HTj and the environmental hazard assessment index HVj for each divided area during the mine monitoring period and then substitute them into the formula Calculate to obtain the risk level assessment index WXj of each divided area of the mine during the corresponding monitoring period, where LAj and LBj are respectively the allowable threshold values of the personnel risk assessment index and the environmental hazard assessment index for each divided area, and vc1 and vc2 are respectively the influence weight factors of the personnel risk assessment index HTj and the environmental hazard assessment index HVj for each divided area;

[0062] Substitute the obtained risk level assessment index WXH into the preset value range to generate the corresponding warning level, and display the generated warning level.

[0063] It should be noted in this embodiment that each divided area is a normal activity area, a working area, and a remaining area underground in the mine. In the above embodiment, j = 1, 2, or 3, respectively representing three divided areas.

[0064] The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not elaborate on all details and do not limit the present invention to only the specific implementation manners. Obviously, according to the content of this specification, many modifications and variations can be made. This specification selects and specifically describes these embodiments to better explain the principle and practical application of the present invention, so that those skilled in the art in the relevant technical field can well understand and utilize the present invention. The present invention is only limited by the claims and their full scope and equivalents.

Claims

1. A safety monitoring method for coal mine tunneling personnel, characterized in that, it includes: S1: Analyze the behavior and working status of personnel in each divided area during the mine monitoring time period to obtain the personnel hidden danger assessment index of each divided area; S2: Analyze the number of personnel in each divided area during the mine monitoring time period to obtain the personnel quantity assessment index of each divided area, and perform normalization processing between the personnel hidden danger assessment index and the personnel quantity assessment index of each divided area during the mine monitoring time period to obtain the personnel risk assessment index; S3: Analyze the temperature, coal dust concentration and gas concentration in each divided area during the mine monitoring time period. The specific process is as follows: Use a temperature sensor to detect the temperature values in each divided area during the mine monitoring time period to obtain the temperature values of each time point in the mine corresponding to the monitoring time period. Substitute the temperature values of each time point in each divided area into a line graph for representation, plot the numerical points corresponding to the temperature values in the line graph, connect adjacent two numerical points to obtain a numerical diagonal line, calculate the angle between each section of the numerical diagonal line and the horizontal line. When the angle between the numerical diagonal line and the horizontal line is an acute angle, mark this numerical diagonal line as the first diagonal line. When the angle between the numerical diagonal line and the horizontal line is an obtuse angle, mark this numerical diagonal line as the second diagonal line. Respectively use the first diagonal line and the second diagonal line as the diagonals of a rectangle to construct a rectangle, and calculate the area of each rectangle respectively. Add up the areas of the rectangles constructed by all the first diagonal lines to obtain the first variable value. Add up the areas of the rectangles constructed by all the second diagonal lines to obtain the second variable value. Obtain the temperature change ratio of each divided area in the mine corresponding to the monitoring time period through the ratio between the second variable value and the first variable value; Use a coal dust detection instrument to monitor the coal dust concentration in each divided area during the mine monitoring time period to obtain the coal dust concentration of each time point in the mine corresponding to the monitoring time period. Substitute the coal dust concentration of each time point in each divided area into a curve graph for representation, draw a threshold line corresponding to the coal dust concentration threshold in the curve graph. When the coal dust concentration curve is higher than the threshold line, calculate the shaded area formed between the coal dust concentration curve and the threshold line, and at the same time count the number of shaded areas formed. Add up the shaded areas formed to obtain the total shaded area. Perform normalization processing between the total shaded area and the number of shaded areas of each divided area to obtain the coal dust over - value. At the same time, obtain the duration corresponding to each shaded area and add them up to obtain the over - duration. Perform normalization processing among the coal dust over - value, over - duration and the highest concentration value of each divided area to obtain the coal dust change value; Use a gas concentration sensor to monitor the gas concentration in each divided area during the mine monitoring time period to obtain the highest gas concentration value in each divided area during the corresponding monitoring time period; Perform normalization processing among the temperature change ratio, coal dust change value and the highest gas concentration value in each divided area of the mine during the monitoring time period to obtain the regional environment assessment index of the corresponding area; S4: Analyze the usage of each operating device during the mine monitoring period to obtain the device usage evaluation index of each operating device. Obtain the operating duration of each operation of each operating device from the historical record log of each operating device in the mine. Add up the operating durations of the corresponding device each time and calculate the average to obtain the average operation duration. Obtain the last maintenance date of each operating device in the mine. Calculate the time difference between the last maintenance date of the corresponding device and the current time to obtain the maintenance duration. At the same time, obtain the used years and the number of repairs of each operating device in the mine. Perform normalization processing on the average operation duration, maintenance duration, used years, and number of repairs of each operating device in the mine to obtain the device usage evaluation index. Obtain the division areas where each operating device in the mine is located. Perform normalization processing between the device usage evaluation index of the devices in the corresponding area and the regional environment evaluation index to obtain the environmental hazard evaluation index of each division area during the mine monitoring period. S5: Conduct a comprehensive analysis between the personnel risk assessment index and the environmental hazard evaluation index of each division area during the mine monitoring period to obtain the hazard level assessment index of the division areas where the personnel are located. Substitute the obtained hazard level assessment index into the preset value range to obtain the warning level of the corresponding division area of the mine during this monitoring period. Generate a corresponding instruction according to the obtained warning level and display it.

2. A safety monitoring method for coal mine tunneling personnel according to claim 1, characterized in that analyze the personnel behavior and working status of each division area during the mine monitoring period to obtain the personnel hazard assessment index of each division area, specifically: Use the monitoring cameras installed in each division area of the mine to monitor the activity behaviors of each person in each division area. Match each person's activity behavior with a plurality of preset illegal behavior actions to obtain the illegal behavior actions of each person in the corresponding area. Set that each illegal behavior action corresponds to an illegal evaluation index respectively. Match the illegal behavior actions of each person with the set illegal index to obtain the illegal index of each person. Add up the illegal indexes of each person in the corresponding area to obtain the total illegal index. Collect the head image information of each person in each division area and match it with the preset safety helmet wearing image. Count the number of people not wearing safety helmets in each division area to obtain the personnel safety assessment index. Use the monitoring camera to collect the facial information of each person in each division area, and match the facial information of each person to obtain the on-duty information of the employee. When the facial information of the employee is collected each time, compare it with the facial information recorded last time. If the match is successful, update the timestamp of the last time the employee entered the corresponding area until the match fails. Calculate the time difference between the timestamp of the last time the employee entered and the current time to obtain the continuous working duration of the corresponding employee. Compare the continuous working duration of each employee with the preset threshold, and count the number of employees exceeding the threshold to obtain the personnel status assessment index. Normalize the total violation index, personnel safety assessment index, and personnel status assessment index for the corresponding area during the mine monitoring period to obtain the personnel hidden danger assessment index.

3. A method for safety monitoring of coal mine tunneling personnel according to claim 2, characterized in that analyze the number of personnel in each divided area during the mine monitoring period to obtain the personnel number assessment index for each divided area, specifically: Use surveillance cameras to obtain the number of personnel in each divided area during the mine monitoring period to get the total number of people in each divided area during the monitoring period; match the environmental hidden danger assessment index of each divided area during the monitoring period with the preset value range, set that each value range corresponds to an allowable number of people respectively, obtain the allowable number of people in the corresponding area during this monitoring period, compare the total number of people with the allowable number of people, and conduct further analysis based on the comparison result to obtain the personnel number assessment index for the corresponding monitoring period of the mine; Normalize the personnel hidden danger assessment index and the personnel number assessment index of each divided area during the mine monitoring period to obtain the personnel risk assessment index.

4. A method for safety monitoring of coal mine tunneling personnel according to claim 3, characterized in that receive the corresponding instructions generated during the corresponding monitoring period of the mine and execute the corresponding operations, specifically: Normalize the personnel risk assessment index and the environmental hidden danger assessment index of each divided area during the mine monitoring period to obtain the danger level assessment index of each divided area during the corresponding monitoring period of the mine, substitute the obtained danger level assessment index into the preset value range, generate the corresponding warning level, and display the generated warning level.

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