A GIS map-based safety monitoring and early warning method for a coal mining process

Abstract

The application provides a GIS map-based safety monitoring and early warning method for a coal mining process, comprising the following steps: acquiring the number of over-limit alarms of methane and carbon monoxide, the number of over-limit alarms of mine earthquake detection values, the number of water damage alarms, and the number of abnormal alarms of coal mining personnel of each coal mine in real time, and distinguishing the alarms on a GIS map by different marks; and acquiring the monitoring data of each sensor of each coal mine in real time, and displaying the monitoring data in a preset period by a curve.

Description

Technical Field

[0001] This invention relates to the field of coal mining safety monitoring technology, and in particular to a safety monitoring and early warning method for coal mining processes based on GIS maps. Background Technology

[0002] In recent years, various accidents have occurred frequently in the coal mining industry. Strengthening the safety production capabilities and improving the management level of coal mining enterprises has become a primary issue that must be addressed. In coal mine production, surface workers need to accurately and promptly monitor the safety and production situation underground; relying solely on reports and notifications is insufficient to achieve accurate and timely monitoring.

[0003] In coal mine safety production, achieving gas drainage standards is a crucial aspect of gas control, determining whether gas exceedances or coal and gas outbursts will occur. This requires individual measurement and evaluation of each drainage unit. However, in actual gas drainage evaluation processes, independent measurement and evaluation of the entire evaluation unit are often neglected. In boreholes with poor drainage performance, ineffective measurement is not performed, and drainage blind spots are not identified. This leads to distorted drainage compliance, misleading the authenticity of drainage compliance and posing significant safety hazards to coal mine gas control and outburst prevention efforts. Summary of the Invention

[0004] In order to overcome the above-mentioned technical defects, the purpose of this invention is to provide a safety monitoring and early warning method for coal mining based on GIS maps that can acquire real-time information on various underground safety monitoring conditions during the coal mining process.

[0005] This invention discloses a safety monitoring and early warning method for coal mining processes based on GIS maps, comprising: real-time acquisition of the number of methane and carbon monoxide exceeding limit alarms for each coal mine; obtaining a first risk level for each coal mine based on the number of methane and carbon monoxide exceeding limit alarms; and distinguishing the names of coal mines with different first risk levels on the GIS map using different identifiers; the methane and carbon monoxide exceeding limit alarms include the duration of methane exceeding a preset value for more than a first preset duration within a preset period, and the duration of carbon monoxide concentration exceeding a preset value for more than a first preset duration within a preset period; real-time acquisition of the number of seismic detection value exceeding limit alarms for each coal mine; obtaining a second risk level for each coal mine based on the number of seismic detection value exceeding limit alarms; and distinguishing the names of coal mines with different second risk levels on the GIS map using different identifiers; the seismic detection value exceeding limit alarms include the number of micro-seismic events exceeding a preset micro-seismic number threshold within a preset period, and the micro-seismic energy exceeding a preset micro-seismic energy threshold within a preset period; real-time acquisition of the number of water hazard alarms for each coal mine; obtaining a third risk level for each coal mine based on the number of water hazard alarms; and distinguishing the names of coal mines with different second risk levels on the GIS map using different identifiers; the seismic detection value exceeding limit alarms include the number of micro-seismic events exceeding a preset micro-seismic number threshold within a preset period, and the micro-seismic energy exceeding a preset micro-seismic energy threshold within a preset period; and real-time acquisition of the number of water hazard alarms for each coal mine; obtaining a third risk level for each coal mine based on the number of water hazard alarms; and distinguishing the names of coal mines with different first risk levels on the GIS map using different identifiers. The system identifies coal mines with different third-risk levels. Water hazard alarms include instances where drainage exceeds a preset threshold within a preset period, and instances where water inflow exceeds a preset threshold within a preset period. The system also acquires the number of abnormal alarms from coal miners at each mine in real time, and determines the fourth-risk level of each mine based on these alarms. Different fourth-risk level coal mines are identified on a GIS map using different identifiers. Abnormal alarms from coal miners include instances where the number of miners in different positions exceeds a preset number, handover procedures between miners in different positions do not conform to a preset handover procedure, and miners' movement trajectories do not conform to preset trajectories. Identifiers include color-coded identifiers, graphic identifiers, and symbol identifiers. The system acquires monitoring data from various sensors at each coal mine in real time and displays the monitoring data as a curve within a preset period. Based on the monitoring data, the system acquires abnormal monitoring alarms and abnormal interference alarms from various sensors at each coal mine. Abnormal monitoring alarms include alarm value, alarm time, alarm duration, alarm maximum value, and maximum value time. Abnormal interference alarms include abnormal access location, abnormal data change range, abnormal data non-natural oscillation, and abnormal interruption.

[0006] Preferably, the real-time acquisition of monitoring data from various sensors in each coal mine and the display of the monitoring data within a preset period as a curve includes: displaying the monitoring data of a single sensor or the monitoring data of multiple sensors within a preset period as a curve; the multiple sensors belong to the same category of sensor group, and the sensor group includes a setting location group, a function type group, and an association relationship group.

[0007] Preferably, the relationships in the relationship group include control relationships, master / slave relationships, pairing relationships, and power supply relationships.

[0008] Preferably, the step of obtaining abnormal interference alarms from various sensors in each coal mine based on the monitoring data includes:

[0009] Determine whether the fluctuation range of several sensors belonging to the same functional type group within a preset period is greater than or equal to a preset fluctuation threshold, whether the proportion of data that rises / falls simultaneously at the same time for several sensors belonging to the same functional type group exceeds a preset threshold, and whether the frequency of change of values ​​of several sensors belonging to the same functional type group is within a preset frequency threshold; if not, then the access position of the aforementioned several sensors belonging to the same functional type group is abnormal.

[0010] Preferably, the step of obtaining abnormal interference alarms from various sensors in each coal mine based on the monitoring data includes:

[0011] Determine if the maximum values ​​of the monitored values ​​of several sensors belonging to the same functional type group are inconsistent within a preset period, and whether the difference in the frequency of change of the values ​​of several sensors belonging to the same functional type group is less than a preset frequency difference, and whether the difference in the degree of fluctuation of the values ​​of several sensors belonging to the same functional type group is less than a preset fluctuation difference; if not, then the data change range of the several sensors belonging to the same functional type group is abnormal.

[0012] Preferably, the real-time acquisition of monitoring data from each sensor in each coal mine further includes: acquiring changes in the sensor group within a preset period, including the addition, replacement, and deletion of sensors.

[0013] Preferably, the real-time acquisition of monitoring data from various sensors in each coal mine further includes: querying the monitoring data of the sensors according to different sensor query conditions; the sensor query conditions include: alarm time, alarm level, duration, alarm type, sensor type, the coal mine, alarm maximum value range, number or location, and alarm handling type.

[0014] Preferably, the discrepancy between the movement trajectory of the coal miner and the preset trajectory includes: real-time acquisition of the coal miner's location information; if the location information does not belong to the preset location area of ​​the coal miner, or if the location information is located in a preset prohibited area, then the movement trajectory of the coal miner is considered to be inconsistent with the preset trajectory; the alarm level when the location information is located in the preset prohibited area is greater than the alarm level when the location information does not belong to the preset location area of ​​the coal miner.

[0015] Preferably, the acquisition of the number of abnormal alarms of coal miners in each coal mine includes: querying the number of abnormal alarms of coal miners based on different first personnel query conditions, the first personnel query conditions including: number of people going down the mine, number of leaders going down the mine, number of special personnel going down the mine, number of abnormal timeouts, number of people calling for rescue, and number of people in restricted areas; querying the number of abnormal alarms of coal miners based on different second personnel query conditions, the second personnel query conditions including: coal mine area, substation, post, work group, and position.

[0016] Preferably, it also includes: acquiring maintenance alarm information, inspection alarm information, safety sign expiration alarm information, equipment abnormality alarm information, and obsolete equipment alarm information of major equipment; the major equipment includes: main hoist, main ventilation fan, main drainage pump, power supply system, belt conveyor equipment, and methane extraction equipment.

[0017] Compared with existing technologies, the above technical solution has the following advantages:

[0018] 1. Real-time acquisition of monitoring data from underground sensors, including methane, carbon monoxide, seismic activity, hydrology, personnel, and various other parameters, during coal mining operations allows for rapid understanding of the actual mining process. Combined with GIS maps, the data for each coal mine area can be displayed visually on a geographic map, providing a more intuitive overview. Attached Figure Description

[0019] Figure 1 This is a flowchart illustrating the safety monitoring and early warning method for coal mining based on GIS maps provided by the present invention. Detailed Implementation

[0020] The advantages of the present invention will be further illustrated below with reference to the accompanying drawings and specific embodiments.

[0021] Exemplary embodiments will now be described in detail, examples of which are illustrated in the accompanying drawings. When the following description relates to the drawings, unless otherwise indicated, the same numerals in different drawings denote the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with this disclosure. Rather, they are merely examples of apparatuses and methods consistent with some aspects of this disclosure as detailed in the appended claims.

[0022] The terminology used in this disclosure is for the purpose of describing particular embodiments only and is not intended to be limiting of the disclosure. The singular forms “a,” “the,” and “the” as used in this disclosure and the appended claims are also intended to include the plural forms unless the context clearly indicates otherwise. It should also be understood that the term “and / or” as used herein refers to and includes any and all possible combinations of one or more of the associated listed items.

[0023] It should be understood that although the terms first, second, third, etc., may be used in this disclosure to describe various information, such information should not be limited to these terms. These terms are used only to distinguish information of the same type from one another. For example, without departing from the scope of this disclosure, first information may also be referred to as second information, and similarly, second information may also be referred to as first information. Depending on the context, the word "if" as used herein may be interpreted as "when," "when," or "in response to determination."

[0024] In the description of this invention, it should be understood that the terms "longitudinal", "lateral", "up", "down", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are only for the convenience of describing this invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on this invention.

[0025] In the description of this invention, unless otherwise specified and limited, it should be noted that the terms "installation", "connection" and "linking" should be interpreted broadly. For example, they can refer to mechanical or electrical connections, or internal connections between two components. They can be direct connections or indirect connections through an intermediate medium. Those skilled in the art can understand the specific meaning of the above terms according to the specific circumstances.

[0026] In the following description, suffixes such as "module," "part," or "unit" used to denote elements are used only for the convenience of the description of the invention and have no specific meaning in themselves. Therefore, "module" and "part" can be used interchangeably.

[0027] See appendix Figure 1 This invention discloses a safety monitoring and early warning method for coal mining processes based on GIS maps. This method allows for timely monitoring of methane, carbon monoxide, mine vibration, hydrology, coal miners, and the status of various types of sensors, enabling rapid understanding of the actual operation of coal mining. Combined with GIS maps, coal mines in various regions can be visually displayed on a geographic map. For the same coal mine, alarm information can be viewed at its actual location.

[0028] For the monitoring and querying of methane and carbon monoxide, the number of methane and carbon monoxide exceedance alarms for each coal mine can be obtained in real time. Based on the number of methane and carbon monoxide exceedance alarms, the first risk level of each coal mine is determined, and the names of coal mines with different first risk levels are distinguished on the GIS map using different identifiers. Methane and carbon monoxide exceedance alarms include those indicating that the duration of methane concentration exceeding a preset value within a preset period is greater than a first preset duration, and those indicating that the duration of carbon monoxide concentration exceeding a preset value within a preset period is greater than a first preset duration.

[0029] For example, statistics can be compiled on a daily or weekly basis, including the number of times methane levels exceeded the limit by more than 3 minutes, the number of main ventilation fan start / stop alarms, the number of carbon monoxide alarms ≥24 ppm, and the number of carbon monoxide alarms ≥100 ppm. This allows for the acquisition of statistical trends in methane, carbon monoxide, and main ventilation fan alarms over the past 7 days, as well as historical rankings of methane and carbon monoxide alarm frequencies.

[0030] For example, the total number of methane alarms (≥1.0), the total number of carbon monoxide alarms, the total number of methane and carbon monoxide alarms dealt with, the total number of classified and untreated alarms, and the regional ranking and coal mine ranking of the number of methane alarms, carbon monoxide alarms, suspected alarms and actual alarms, based on daily, weekly and monthly dimensions.

[0031] For monitoring and querying seismic activity in mines, the number of alarms triggered by exceeding seismic detection limits for each coal mine can be obtained in real time. Based on the number of alarms, the secondary risk level of each coal mine is determined, and different identifiers are used to distinguish the names of coal mines with different secondary risk levels on a GIS map. Alarms triggered by exceeding seismic detection limits include situations where the number of micro-seismic events within a preset period exceeds a preset threshold, or where the energy of micro-seismic events within a preset period exceeds a preset threshold.

[0032] For example, users can view daily monitoring values ​​(number of mines with microseismic frequency exceeding 500 times / day, number of mines with microseismic energy exceeding 10^6 J / day, number of mines with ground stress alarms), statistics on rockburst mines, network statistics, online stress monitoring, mine pressure monitoring, and statistical analysis of microseismic energy. Simultaneously, the location of subordinate institutions within the region can be displayed on a GIS map, with different colors distinguishing whether a mine has rockburst potential. Clicking on a location allows users to drill down to the next institution's seismic map, up to the mine's specific data.

[0033] For hydrological monitoring and querying, the number of water hazard alarms for each coal mine can be obtained in real time. Based on the number of water hazard alarms, the third risk level of each coal mine can be determined, and the names of coal mines with different third risk levels can be distinguished on the GIS map with different identifiers. Water hazard alarms include drainage exceeding a preset drainage threshold within a preset period and water inflow exceeding a preset water inflow threshold within a preset period.

[0034] For example, users can view real-time statistics on drainage volume, water inflow, alarm counts for long-term observation holes, network statistics, historical alarm counts for drainage volume, water inflow, and long-term observation holes, historical alarm trends (e.g., weekly and monthly statistics), and historical alarm statistics for water inflow and long-term observation holes. Simultaneously, the location of subordinate institutions within the region can be displayed on a GIS map, with different colors distinguishing whether a coal mine has extremely complex, complex, moderate, or simple hydrogeological types. Clicking allows users to drill down to the next institution's water hazard map, up to the coal mine's map.

[0035] For monitoring and querying coal mining personnel, the number of abnormal alarms for each coal mine can be obtained in real time. Based on the number of abnormal alarms, the fourth risk level of each coal mine can be determined, and the names of coal mines with different fourth risk levels can be distinguished on the GIS map with different icons. Abnormal alarms for coal mining personnel include: the number of coal mining personnel in different positions exceeding the preset number; the handover process between coal mining personnel in different positions not conforming to the preset handover process; and the movement trajectory of coal mining personnel not conforming to the preset trajectory.

[0036] For example, users can view real-time data on the number of people underground, the number of underground leaders, the number of mines without leaders on duty, the number of mines with overcrowding, the number of mines with over 800 people, statistics on mines with leaders on duty today, and real-time online statistical information; they can also view statistics on leaders' trajectories and the number of shift handover anomalies on a weekly and monthly basis, analyze weekly and monthly trends of the number of people underground and the leaders on duty, and analyze trends of mines without leaders on duty and mines with overcrowding.

[0037] On GIS maps, the aforementioned markings include color-coded markings, graphic markings, and symbol markings. Different colors, symbols, and graphics represent different risk levels.

[0038] In addition to monitoring the specific indicators mentioned above, it is also necessary to monitor various sensors in the coal mine. Real-time acquisition of monitoring data from each sensor in each coal mine is crucial for obtaining accurate monitoring results, ideally displayed as curves within a preset period.

[0039] The system can display the monitoring data of a single sensor within a preset period as a curve, or it can display the monitoring data of multiple sensors within a preset period as a curve. When displaying the monitoring data of multiple sensors, the multiple sensors should belong to the same sensor group. The same sensor group means that the multiple sensors are installed in the same location, have the same function, or have a certain relationship.

[0040] This relationship includes, but is not limited to, control relationships, master / slave relationships, pairing relationships, and power supply relationships. It can typically support the simultaneous display of 10 curves.

[0041] Furthermore, based on the monitoring data, abnormal monitoring alarms and abnormal interference alarms of various sensors in each coal mine can be obtained. Abnormal monitoring alarms refer to alarms that occur when the sensor is set up normally and there are no other abnormal interferences during routine monitoring. These alarms include, but are not limited to, alarm values, alarm times, alarm durations, alarm maximum values, and the time of the maximum value. Abnormal interference alarms refer to alarms that occur when the sensor has other interference factors that prevent it from performing the monitoring task normally. These alarms include, but are not limited to, abnormal access locations, abnormal data change ranges, abnormal non-natural data oscillations, and abnormal interruptions.

[0042] If the access location is abnormal, it can be determined whether the fluctuation range of several sensors belonging to the same functional type group within a preset period is greater than or equal to a preset fluctuation threshold, whether the proportion of data that rises / falls simultaneously at the same time of several sensors belonging to the same functional type group exceeds a preset threshold, and whether the frequency of change of values ​​of several sensors belonging to the same functional type group is within a preset frequency threshold. If not, then the access location of the aforementioned several sensors belonging to the same functional type group is abnormal.

[0043] For example, in a typical U-shaped ventilation fully mechanized mining face, methane sensors should be installed at the return air corner, the working face, and the return air roadway, referred to as TO, T1, and T2. If the actual installation location of the sensors does not conform to the above-mentioned specified locations, it will lead to inaccurate monitoring of gas concentration; or if the sensors are intentionally moved or accidentally moved during underground operations, resulting in the sensor suspension position not conforming to regulations, these are all suspected abnormal situations regarding sensor connection locations. When the TO and T1 sensors in the coal mining face are correctly connected, the gas data during coal mining will have the following three characteristics:

[0044] 1) Within a single day, the fluctuation ranges of TO, T1, and T2 are all drastic;

[0045] 2) Within a day, the percentage of data where TO, T1, and T2 rise / fall simultaneously at the same time exceeds a set threshold;

[0046] 3) Do the frequency of changes in the values ​​of TO, T1, and T2 within a day satisfy the condition that TO > n%T2 and T1 > n%T2, where n% is the tolerance rate determined based on the frequency of change?

[0047] Based on the above characteristics, by analyzing the curves of TO, T1, and T2 at the coal mining face, sensors suspected of having abnormal positions can be identified.

[0048] If the data change range is abnormal, it can be determined that: the maximum values ​​of the monitored values ​​of several sensors belonging to the same functional type group are inconsistent within the preset period, and whether the difference in the frequency of change of the values ​​of several sensors belonging to the same functional type group is less than the preset frequency difference, and whether the difference in the degree of fluctuation of the values ​​of several sensors belonging to the same functional type group is less than the preset fluctuation difference; if not, then the data change range of the aforementioned several sensors belonging to the same functional type group is abnormal.

[0049] For example, it is generally stipulated that methane sensors should be suspended vertically, no more than 300mm from the roof (roof beam, roof) and no less than 200mm from the sidewall of the roadway (wall). When sensors are intentionally moved or accidentally moved during underground operations, resulting in improper suspension positions and inaccurate gas concentration monitoring; or when sensor readings are artificially lowered (e.g., by reducing accuracy, reducing range, or by obstructing the sensor), causing a large discrepancy between the monitored value and the actual gas concentration, these are all considered suspected abnormalities in the data variation range (e.g., a gas sensor reading of 0.12% in the return air flow of a coal mining face, while the actual measured value is 0.22%, exceeding the specified error and requiring verification and correction). When the monitoring data variation range of the TO, T1, and T2 sensors in a coal mining face is normal, it exhibits the following two characteristics:

[0050] 1) Within a day, the frequency and degree of fluctuation of the values ​​of T0, T1, and T2 are similar;

[0051] 2) The maximum value of methane monitoring values ​​varied over eight consecutive days.

[0052] Based on the above characteristics, by analyzing the curves of T0, T1, and T2 at the coal mining face, sensors with suspected abnormal data variation ranges can be identified.

[0053] Ideally, it can also acquire information on changes in the sensor group within a preset period, including the addition, replacement, and deletion of sensors.

[0054] Ideally, sensor monitoring data can also be queried based on different sensor query conditions. Sensor query conditions include, but are not limited to: alarm time, alarm level, duration, alarm type, sensor type, coal mine, alarm maximum value range, number or location, alarm handling type, etc.

[0055] For personnel information, you can view real-time data statistics of personnel positioning systems at each management level and in the coal mine, including but not limited to: staffing quota, number of people underground, underground leaders, underground special personnel, transmission status, number of people exceeding capacity, number of people in restricted areas, timeouts, and distress calls, and the last update time of the data is displayed.

[0056] You can also view the real-time location information of personnel in various coal mines, such as entry time, current area, entry time into the current area, entry time into the current substation, and whether there were any abnormal exits. You can search by coal mine, name, card number, position, team / work group, job title, entry time, shift, area, and current substation. Clicking on the coal mine name displays basic mine information, and clicking on a personnel's name displays detailed personnel information. Clicking on trajectory replay allows you to view the personnel's trajectory records underground, including a trajectory list or dynamic trajectory map.

[0057] View real-time alarm data from the personnel positioning system (exceeding time limit in the mine, distress call, personnel in restricted area), including the time of entry into the mine, alarm start time, current location, current substation, substation location, alarm type, and duration. Search by coal mine affiliation, name, card number, alarm type, position, team / work group, job title, entry time, shift, location, and current substation.

[0058] In addition, the location information of coal miners can be obtained in real time. If the location information does not belong to the preset location area of ​​the coal miner, or if the location information is located in the preset prohibited area, then the movement trajectory of the coal miner is considered to be inconsistent with the preset trajectory. The alarm level when the location information is located in the preset prohibited area is higher than the alarm level when the location information is not in the preset location area of ​​the coal miner. That is, if the coal miner enters the prohibited area, the warning level is higher than if the coal miner leaves the predetermined work area.

[0059] The number of abnormal alarms triggered by coal mining personnel can be queried based on different primary personnel query criteria. These criteria include, but are not limited to, the number of personnel underground, the number of leaders underground, the number of special personnel underground, the number of abnormal timeouts, the number of people requesting rescue, and the number of people in restricted areas. The number of abnormal alarms triggered by coal mining personnel can also be queried based on different secondary personnel query criteria. These criteria include, but are not limited to, the coal mine area, substation, position, work team, and job title.

[0060] To ensure safe production, it is also necessary to monitor key equipment individually, including: acquiring maintenance alarm information, inspection alarm information, expired safety sign alarm information, equipment malfunction alarm information, and obsolete equipment alarm information. Key equipment includes, but is not limited to: main hoist, main ventilation fan, main drainage pump, power supply system, belt conveyor equipment, and methane extraction equipment.

[0061] It should be noted that the embodiments of the present invention have better implementability and are not intended to limit the present invention in any way. Any person skilled in the art may use the above-disclosed technical content to change or modify it into equivalent effective embodiments. However, any modifications or equivalent changes and modifications made to the above embodiments based on the technical essence of the present invention without departing from the content of the technical solution of the present invention shall still fall within the scope of the technical solution of the present invention.

Claims

1. A safety monitoring and early warning method for coal mining processes based on GIS maps, characterized in that, include: The system acquires the number of methane and carbon monoxide exceedance alarms for each coal mine in real time. Based on the number of methane and carbon monoxide exceedance alarms, the system determines the first risk level of each coal mine. The names of coal mines with different first risk levels are distinguished on the GIS map using different identifiers. The methane and carbon monoxide exceedance alarms include the duration of methane concentration exceeding a preset value within a preset period that is greater than a first preset duration, and the duration of carbon monoxide concentration exceeding a preset value within a preset period that is greater than a first preset duration. The number of alarms triggered by exceeding the limits of the seismic detection values ​​for each coal mine is obtained in real time. The second risk level of each coal mine is determined based on the number of alarms triggered by exceeding the limits of the seismic detection values. The names of coal mines with different second risk levels are distinguished on the GIS map by different identifiers. The alarms triggered by exceeding the limits of the seismic detection values ​​include the number of micro-seismic events within a preset period being greater than a preset micro-seismic number threshold and the energy of micro-seismic events within a preset period being greater than a preset micro-seismic energy threshold. The number of water hazard alarms for each coal mine is obtained in real time. The third risk level of each coal mine is obtained based on the number of water hazard alarms. The names of coal mines with different third risk levels are distinguished by different labels on the GIS map. The water hazard alarms include the drainage volume exceeding the preset drainage volume threshold within a preset period and the water inflow volume exceeding the preset water inflow threshold within a preset period. The system acquires the number of abnormal alarms from coal miners in each coal mine in real time. Based on the number of abnormal alarms, the system determines the fourth risk level of each coal mine and distinguishes the names of coal mines with different fourth risk levels on the GIS map using different identifiers. The abnormal alarms from coal miners include: the number of coal miners in different positions exceeding the preset number; the handover process between coal miners in different positions not conforming to the preset handover process; and the movement trajectory of coal miners not conforming to the preset trajectory. The identification includes color identification, graphic identification, and symbol identification; The system acquires real-time monitoring data from various sensors in each coal mine and displays the monitoring data within a preset period as a curve. Based on the monitoring data, it acquires abnormal monitoring alarms and abnormal interference alarms from various sensors in each coal mine. The abnormal monitoring alarms include alarm value, alarm time, alarm duration, alarm maximum value, and maximum value time. The abnormal interference alarms include abnormal access location, abnormal data change range, abnormal data non-natural oscillation, and abnormal interruption. The process of obtaining abnormal interference alarms from various sensors in each coal mine based on the monitoring data includes: judge: Whether the fluctuation range of several sensors belonging to the same functional type group within a preset period is greater than or equal to a preset fluctuation threshold, whether the proportion of data that rise / fall simultaneously at the same time of several sensors belonging to the same functional type group exceeds a preset threshold, and whether the frequency of change of values ​​of several sensors belonging to the same functional type group is within a preset frequency threshold. If not, then the access locations of several sensors in the same functional group mentioned above are abnormal; The process of obtaining abnormal interference alarms from various sensors in each coal mine based on the monitoring data includes: judge: The maximum values ​​of several sensors belonging to the same functional type group are inconsistent within a preset period, and the difference between the frequency of change of the values ​​of several sensors belonging to the same functional type group is less than the preset frequency difference, and the difference between the degree of fluctuation of the values ​​of several sensors belonging to the same functional type group is less than the preset fluctuation difference. If not, then the data variation range of several sensors in the same functional group mentioned above is abnormal.

2. The safety monitoring and early warning method for the coal mining process according to claim 1, characterized in that, The real-time acquisition of monitoring data from various sensors in each coal mine, and the display of the monitoring data within a preset period as a curve, includes: The monitoring data of a single sensor or multiple sensors can be displayed as a curve within a preset period. The multiple sensors belong to the same sensor group, which includes a location group, a function type group, and an association group.

3. The safety monitoring and early warning method for the coal mining process according to claim 2, characterized in that, The relationships in the relationship group include control relationships, primary / backup relationships, pairing relationships, and power supply relationships.

4. The safety monitoring and early warning method for the coal mining process according to claim 1, characterized in that, The real-time acquisition of monitoring data from various sensors in each coal mine also includes: The changes in the sensor group within a preset period are obtained, including the addition, replacement, and deletion of sensors.

5. The safety monitoring and early warning method for the coal mining process according to claim 1, characterized in that, The real-time acquisition of monitoring data from various sensors in each coal mine also includes: The monitoring data of the sensor can be queried according to different sensor query conditions; the sensor query conditions include: alarm time, alarm level, duration, alarm type, sensor type, the coal mine, alarm maximum value range, number or location, and alarm handling type.

6. The safety monitoring and early warning method for the coal mining process according to claim 1, characterized in that, The discrepancy between the movement trajectory of the coal miners and the preset trajectory includes: The location information of the coal miner is obtained in real time. If the location information does not belong to the preset location area of ​​the coal miner, or if the location information is located in the preset prohibited area, then the movement trajectory of the coal miner is considered to be inconsistent with the preset trajectory. The alarm level when the location information is located in a preset prohibited area is higher than the alarm level when the location information does not belong to the preset location area of ​​the coal miner.

7. The safety monitoring and early warning method for the coal mining process according to claim 1, characterized in that, The number of abnormal alarms from coal miners at each coal mine is obtained, including: The number of abnormal alarms from coal mining personnel can be queried based on different first-person query conditions. The first-person query conditions include: number of people going down the mine, number of leaders going down the mine, number of special personnel going down the mine, number of abnormal timeouts, number of people calling for rescue, and number of people in restricted areas. The number of abnormal alarms of coal mining personnel can be queried based on different second personnel query conditions. The second personnel query conditions include: coal mine area, substation, post, work group, and position.

8. The safety monitoring and early warning method for the coal mining process according to claim 1, characterized in that, Also includes: Acquire alarm information for maintenance, inspection, expired safety signs, equipment malfunctions, and obsolete equipment from major equipment; The main equipment includes: main hoist, main ventilation fan, main drainage pump, power supply system, belt conveyor equipment, and methane extraction equipment.

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