A coal mine double-prevention mechanism early warning method fusing GIS spatial positioning and dynamic management and control

Abstract

This invention relates to the field of mine safety management technology, specifically to a coal mine dual-prevention mechanism early warning method integrating GIS spatial positioning and dynamic control, comprising the following steps: S1, extracting risk point elements, identifying asynchronous hazard points by combining mining plans and geodetic models, and reconstructing a risk hazard fusion map with evolution labels; S2, matching the work trajectory with the fusion map, triggering correction if the path and hazard points are asynchronous or deviate beyond limits, and generating a risk shift zone and a high-sensitivity trigger boundary by combining label windows, trajectory inertia, and boundaries; S3, intersecting the work location with the shift zone, triggering an early warning if the intersection falls within the high-sensitivity boundary, and dynamically adjusting the early warning level, display method, and response responsibility unit according to the hazard level and evolution trend. This invention realizes an integrated upgrade of coal mine dual-prevention early warning from static data recording to dynamic identification, proactive response, and intelligent display.

Description

Technical Field

[0001] This invention relates to the field of mine safety management technology, and in particular to an early warning method for a coal mine dual-prevention mechanism that integrates GIS spatial positioning and dynamic control. Background Technology

[0002] Against the backdrop of the continuous advancement of intelligent coal mine construction, the fusion perception and risk early warning of multi-source information in the working environment has become a key link in ensuring production safety. Currently, coal mining enterprises have generally deployed dynamic management and control systems based on GIS spatial information, work scheduling systems, and sensor monitoring devices, achieving real-time collection and recording of work trajectories, potential hazards, and environmental parameters. Especially in the implementation of the dual-prevention mechanism, how to fully utilize multi-source data to construct hazard early warning models and improve the foresight of risk identification and the intelligence level of response has become an important research direction for mine safety informatization.

[0003] However, existing technologies still have shortcomings in spatiotemporal synchronization matching and dynamic risk evolution processing. On the one hand, risk hazard data suffers from problems such as delayed recording and untimely location updates, leading to potential drift between risk source coordinates and work paths. On the other hand, there is a lack of high-resolution spatiotemporal fusion analysis capabilities between work trajectories and hazard maps, making it difficult to identify the dynamic expansion trend of the risk impact range in a timely manner. In addition, existing early warning mechanisms are mostly based on fixed ranges or static rules, making it difficult to adapt to the characteristics of hazard event label evolution, level adjustment, and spatial extrapolation changes, resulting in frequent false alarms or missed alarms and affecting the efficiency of risk management. Summary of the Invention

[0004] This invention provides a coal mine dual-prevention mechanism early warning method that integrates GIS spatial positioning and dynamic control. By reconstructing a risk and hazard fusion map with evolutionary labels, it achieves spatiotemporal correction of hazard coordinates. Combining the spatial inertia of the operation trajectory and geological boundary information, it dynamically generates risk shifting zones and highly sensitive triggering boundaries, and constructs a multi-dimensional early warning level adjustment mechanism. This improves the ability to identify potential drift risks of hazards in advance and the accuracy of response, effectively supporting the intelligent upgrade of safety management and control at coal mine operation sites.

[0005] A coal mine dual-prevention mechanism early warning method integrating GIS spatial positioning and dynamic control includes the following steps: S1, based on data from hazard investigation records, risk classification ledgers, daily mining operation reports, and online sensor sampling logs, uniformly identifies and aggregates data on geological structure risks, underground gas risks, and groundwater risks involved in coal mine production, extracting key element information for each risk point, including: The geological structural risks include faults, fracture zones, and tectonic deformation zones; The underground gas risks include abnormal gas concentrations, gas outbursts, or changes in gas pressure. The groundwater risks mentioned include the risk of sudden water inrush, abnormal aquifer connectivity, or changes in water pressure. When extracting key information of risk points, risk type labels, spatial coordinate information, occurrence time information and risk level information are obtained simultaneously. Combined with mining plans, geological survey models and sensor sampling frequencies, risk points with delayed or asynchronous coordinate updates are identified. For the identified risk points, the coordinates and time series are corrected and completed by the space-time difference reconstruction method to generate a risk hazard fusion map with risk type labels and time series evolution labels; S2, perform spatial-temporal joint matching between the real-time operation location trajectory in the production dynamic control system and the risk and hidden danger fusion map. If there is a time asynchrony or coordinate offset exceeding the limit between the trajectory path and the hidden danger point in the risk and hidden danger fusion map, the coordinate correction calculation process is triggered. Based on the label time sequence window of the hidden danger point, the historical inertia of the operation path and the spatial limit boundary, the risk shift zone and its high-sensitivity trigger boundary are dynamically generated. S3, perform an intersection calculation on the overlapping area between the risk shifting area and the current work position. If the intersection area is within the high-sensitivity trigger boundary, an early warning prompt will be automatically triggered. Based on the risk level and label evolution trend in the risk hazard fusion map, the early warning level, display method and response responsibility unit will be dynamically adjusted.

[0006] Optionally, S1 includes: S11, based on multiple heterogeneous data sources such as hidden danger investigation records, risk classification ledgers, daily mining operation reports and online sensor sampling logs, uniformly identifies and aggregates geological structure risks, underground gas risks and groundwater risks involved in the coal mine production process, and extracts key element information related to risk and hidden danger events, including historical reporting time, reporting responsible person identification, spatial coordinate snapshot, risk type label, event type label and data source identification; in: The geological structural risks include faults, fracture zones, and tectonic deformation zones; The underground gas risks include abnormal gas concentrations, gas outbursts, or changes in gas pressure. The groundwater risks mentioned include the risk of sudden water inrush, abnormal aquifer connectivity, or changes in water pressure. After extracting the key element information, the spatiotemporal attributes of each risk event are analyzed in conjunction with the mining operation schedule and the geological survey model. The analysis determines whether there are any abnormalities such as delayed input, inconsistent coordinate update frequency, or geographic label drift in the spatial coordinates and time records. Based on this, risk events with spatiotemporal asynchronous characteristics are identified. S12, For the identified risk events with spatiotemporal asynchronous characteristics, based on their historical reporting sequence and the spatiotemporal location distribution of the same risk type or adjacent risk points, the space-time joint difference reconstruction algorithm is used to dynamically complete the missing or lagging coordinate data, forming a risk evolution path that simultaneously reflects the spatial migration relationship and the temporal change relationship of the risk. After obtaining the reconstructed locations of risk and hazard events, each hazard event is labeled with a time-series tag that includes the risk type, occurrence time, risk level change trajectory, and governance status evolution process. The reconstructed locations and corresponding time-series tags are then mapped to a GIS spatial platform to construct a risk and hazard fusion map with temporal dynamism, spatial consistency, and unified expression of multiple risk types.

[0007] Optionally, S11 includes: S111, constructing multiple heterogeneous datasets from hazard investigation records, risk classification ledgers, daily mining operation reports, and online sensor sampling logs, including: The hazard investigation record is used to record the time of hazard reporting, the reporting personnel, and the initial location; The risk classification ledger provides risk level, governance status, and responsible unit; The daily mining operation report includes the operation area, date, and work team; The online sensor sampling log includes location signal, sampling time, sensing accuracy, and changes in gas concentration, water pressure, or geological structure; This study uses heterogeneous data from multiple sources to uniformly identify geological structural risks, underground gas risks, and groundwater risks involved in coal mine production. It then performs event ID-based alignment and fusion on these heterogeneous datasets to extract key information for each potential hazard event, including historical reporting times. Identification of the person responsible for reporting Spatial coordinate snapshot Risk type tags, event type tags and data source identification; The risk type label is used to identify whether a potential hazard event belongs to one of the following: geological structure risk, underground gas risk, or groundwater risk. Simultaneously, the mining operation schedule and geological survey model are invoked to obtain the planned coordinate trajectory of the corresponding operation area within the same time period. ; S112, for each potential hazard event, calculate the difference between its coordinate update time and the sensor sampling rhythm. If If so, it is determined to be due to delayed data entry or abnormal coordinate updates. This is to account for the time discrepancy between the time the hazard was reported and the time the coordinates were updated. The theoretically expected maximum sampling interval, These are empirical weighting coefficients; S113, Spatial coordinate snapshot of the same potential hazard event Coordinates of the work area in the mining operation plan Calculate spatial offset ,like If so, it is determined that there is geographic label drift, where, This is the spatial offset threshold; S114, if the hidden danger event meets the requirements or If so, the potential hazard event is determined to have spatiotemporal asynchronous characteristics.

[0008] Optionally, S12 includes: S121, for potential incidents that have been identified as having spatiotemporal asynchronous characteristics. Extract time series from its historical reporting records Simultaneously, a snapshot of the current potential hazard's spatial coordinates is taken in the GIS space. Construct a spatial neighborhood centered on the target, and filter within the radius of the spatial neighborhood. With time window Set of adjacent risk points within ; S122, for potential events with missing or lagging coordinates, a weighted spatial-temporal joint difference model is used at the target time. Calculate and reconstruct the spatial coordinates of potential hazards ; S123, based on the reconstructed spatial coordinates of potential hazards Generate a time-series evolution tag set for each potential event. and will and The risk hazard fusion map is jointly mapped to the GIS platform to construct a risk hazard fusion map that simultaneously satisfies the consistency of spatial representation and the characteristics of temporal dynamic evolution. The temporal evolution tag set includes risk type, occurrence time, risk level change trajectory, and governance status evolution information.

[0009] Optionally, S2 includes: S21, based on the real-time work trajectory collected by the production dynamic control system, extracts the work point in time. spatial location Reconstructed spatial coordinates of each hazard event in the risk and hazard fusion map and time of occurrence A point-by-point comparison is performed. If the spatial distance between the work point and any potential hazard exceeds the dynamic spatial offset threshold or time deviation set between the corresponding risk level and the work area, the comparison is made accordingly. If the allowable time window set by the sensor sampling period is exceeded, the work point is determined to have a potential position drift matching anomaly. S22. For work points identified as having potential location drift matching anomalies, a risk migration zone is constructed by combining the label evolution window of the corresponding hidden danger event, the spatial inertial direction of the work trajectory, and the spatial constraint boundary set in the geological measurement model, and a highly sensitive trigger boundary is set at its outer edge.

[0010] Optionally, S21 includes: S211, Obtain the work trajectory flow from the production dynamic control system. Extract the reconstructed spatial coordinates of each hazard event from the risk and hazard fusion map. and time of occurrence ; S212, for any work point and potential incidents Calculate its spatial offset With time deviation ; S213, if the work site and any potential hazard event satisfy... or Then the work point It was determined that there was a potential positional drift matching anomaly, among which, This is the spatial offset threshold. This is the time offset threshold.

[0011] Optionally, S22 includes: S221, for work points identified as having potential position drift matching anomalies. Extract the risk label evolution window of its associated potential hazards. ,in, The initial risk level, The current risk level is... To illustrate the hierarchical evolution trend, the spatial inertial direction vector of the work point in the trajectory is calculated based on the continuous work trajectory. ; S222, with work point Center point, spatial inertial direction vector Using the main axis and combining the evolution trend and risk level of potential hazards, an elliptical region modeling method is used to construct the spatial shape of the risk migration zone, generating the risk migration zone. ; S223, in the risk shift zone Extend a layer of dynamic, highly sensitive triggering boundary from the edge. .

[0012] Optionally, S3 includes: S31, based on the current work position or work trajectory segment obtained by the production dynamic control system, perform spatial intersection calculation between the corresponding spatial coverage area and the risk shift zone, identify whether the work position has entered or is about to enter the influence range of the risk shift zone, and determine whether the intersection area is located within the high-sensitivity trigger boundary set at the outer edge of the risk shift zone. When it is detected that the work position and the high-sensitivity trigger boundary have a spatial overlap or proximity relationship, determine that the current work status meets the early warning trigger condition. S32, after the early warning triggering conditions are met, the information of hidden danger events associated with the risk shift area in the risk and hidden danger fusion map is called. The early warning level is dynamically determined by comprehensively considering the current risk level, label evolution trend and governance status, and the early warning display method and response responsibility unit are adjusted. The early warning display method includes GIS layer color change, flashing mark and prompt information push. The response responsibility unit is matched and assigned according to the risk level and the type of work area.

[0013] Optionally, S31 includes: S311, based on the trajectory information collected by the production dynamic control system, select the current time point. Nearby trajectory segments And for each trajectory point, construct a buffer distance with the point as its center and a radius as its radius. The spatial buffers are then combined to form the coverage area of ​​the work trajectory for the current time period. ; S312, covering the work trajectory area The intersection judgment with the constructed risk shift zone and the high-sensitivity trigger boundary execution space is represented as: ; ; in, The intersection of the operation trajectory coverage area and the risk migration area. The intersection of the operation trajectory coverage area and the high-sensitivity trigger boundary; like If there is a non-empty intersection between the operation trajectory coverage area and the high-sensitivity trigger boundary, it is determined that the early warning trigger condition is met. S313, the intersection of the operation trajectory coverage area and the high-sensitivity trigger boundary. The area determination is expressed as follows: ; in, The result is a Boolean value indicating whether an alert is triggered. This is the minimum warning trigger area threshold.

[0014] Optionally, S32 includes: S321, When the warning triggering conditions are met, retrieve the hazard event information associated with the risk migration area from the risk hazard fusion map, and extract the associated hazard tags, including the current risk level. Blue, yellow, orange, red Hierarchical evolution trend and governance status Untreated, under treatment, closed loop The associated hazard labels are quantified into numerical levels to calculate the early warning intensity. and increase the warning intensity Discrete mapping to warning level ,when At that time, the warning level It is a Level 1 warning, when At that time, the warning level It is a level 2 warning, when At that time, the warning level It is a Level 3 warning; S322, based on the determined warning level Dynamically adjust the visualization presentation on the GIS platform, specifically including: The layer color updates from blue, yellow, orange to red according to the risk level, reflecting the upward trend of the risk level in real time; The flashing frequency increases as the warning level increases; the red warning area flashes at a high frequency, while the blue warning area remains constantly lit or flashes at a low frequency. The information notification window will push a description of the current risk point, the warning level, the responsible unit, and response suggestions, covering both duty terminals and mobile devices; S323, based on the current warning level Matching the corresponding response responsibility unit (such as dispatch room, ventilation team, safety supervision department, etc.) with the type of work area (such as fully mechanized mining, tunneling, auxiliary) and automatically generating response tasks, specifically including: Obtain the response matrix table ,in, Indicates the type of work area; Identify the main responsible units ; Generate task units, including response time requirements and processing method suggestions.

[0015] The beneficial effects of this invention are: This invention performs unified element extraction and spatial-temporal consistency analysis on multi-source heterogeneous data such as hidden danger investigation records, risk classification ledgers, daily mining operation reports, and online sensor sampling logs. For hidden danger events with coordinate lag or spatiotemporal asynchronous characteristics, a spatial-temporal joint difference reconstruction mechanism is introduced to construct a risk and hidden danger fusion map with risk level and governance status evolution labels. This realizes the transformation of hidden danger data from static records to spatiotemporal continuous expression, effectively improving the accuracy, completeness, and spatial reliability of coal mine dual-prevention basic data.

[0016] This invention achieves spatial-temporal joint matching of real-time operation trajectories in a dynamic production control system with the risk hazard fusion map, and introduces a risk migration zone modeling method based on trajectory inertia direction, risk label evolution window, and geological spatial constraints to address potential location drift matching anomalies. This breaks through the limitations of traditional early warning triggered by fixed risk points, and realizes dynamic perception of the spatial uncertainty and potential diffusion trend of hazards, thereby significantly improving the proactiveness and coverage of risk identification.

[0017] This invention performs spatial intersection determination between the work trajectory coverage area and the risk shift area and its high-sensitivity trigger boundary, and dynamically calculates the early warning level by combining the risk level of hidden dangers, evolution trend and governance status. It also links the GIS layer color change, flashing annotation, information push and automatic matching mechanism of responsibility unit to realize the collaborative closed loop of early warning triggering, hierarchical display and response handling, effectively enhancing the dynamic early warning capability, response efficiency and on-site safety management level of the coal mine dual prevention mechanism. Attached Figure Description

[0018] To more clearly illustrate the technical solutions in this invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only for this invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0019] Figure 1 This is a schematic diagram of the early warning method according to an embodiment of the present invention. Detailed Implementation

[0020] The present invention will now be described in detail with reference to the accompanying drawings and specific embodiments. Those skilled in the art may employ other alternative methods to implement some well-known technologies; moreover, the accompanying drawings are only for more specific description of the embodiments and are not intended to specifically limit the present invention.

[0021] like Figure 1 As shown, a coal mine dual-prevention mechanism early warning method integrating GIS spatial positioning and dynamic control includes the following steps: S1, based on data from hazard investigation records, risk classification ledgers, daily mining operation reports, and online sensor sampling logs, uniformly identifies and aggregates data on geological structure risks, underground gas risks, and groundwater risks involved in coal mine production. It extracts key element information for each risk point, simultaneously acquiring risk type labels, spatial coordinate information, occurrence time information, and risk level information. Combining mining plans, geological measurement models, and sensor sampling frequencies, it identifies risk points with lagging or asynchronous coordinate updates. For identified risk points, it corrects and completes their coordinates and time series using a spatial-temporal difference reconstruction method, generating a risk hazard fusion map with risk type labels and temporal evolution labels. Among these: The geological structural risks include risk information related to geological structures such as faults, fracture zones, and tectonic deformation zones; The underground gas risks include risk information such as abnormal gas concentration, gas outbursts, or changes in gas pressure. The groundwater risks mentioned include risks such as sudden water inrush, abnormal aquifer connectivity, or changes in water pressure.

[0022] S2 performs spatial-temporal joint matching between the real-time operation location trajectory in the production dynamic control system and the risk and hazard fusion map. If there is a time asynchrony or coordinate offset exceeding the limit between the trajectory path and the hazard point in the risk and hazard fusion map, the coordinate correction calculation process is triggered. Based on the label time sequence window of the hazard point, the historical inertia of the operation path and the spatial limit boundary, the risk shift zone and its high-sensitivity trigger boundary are dynamically generated.

[0023] S3 performs an intersection calculation between the risk migration zone and the overlapping area of ​​the current work position. If the intersection area is within the high-sensitivity trigger boundary, an early warning prompt is automatically triggered. Based on the risk hazard level and label evolution trend in the risk hazard fusion map, the early warning level, display method and response responsibility unit are dynamically adjusted to achieve early identification and early warning response of potential hazard drift areas.

[0024] S1 includes: S11, based on multiple heterogeneous data sources including hazard investigation records, risk classification ledgers, daily mining operation reports, and online sensor sampling logs, uniformly identifies and aggregates data on geological structure risks, underground gas risks, and groundwater risks involved in coal mine production. It also extracts key element information related to risk and hazard events, including historical reporting time, reporting responsible person identification, spatial coordinate snapshot, risk type label, event type label, and data source identifier. After extracting the key element information, it combines the mining operation schedule and geological measurement model to perform consistency analysis on the spatiotemporal attributes of each risk and hazard event. This determines whether there are abnormalities such as delayed entry of spatial coordinates and time records, inconsistent coordinate update frequencies, or geographic label drift, and identifies risk and hazard events with spatiotemporal asynchronous characteristics accordingly. S12, For the identified risk events with spatiotemporal asynchronous characteristics, based on their historical reporting sequence and the spatiotemporal location distribution of the same risk type or adjacent risk points, the space-time joint difference reconstruction algorithm is used to dynamically complete the missing or lagging coordinate data, forming a risk evolution path that simultaneously reflects the spatial migration relationship and the temporal change relationship of the risk. After obtaining the reconstructed locations of risk and hazard events, each hazard event is labeled with a time-series tag that includes the risk type, occurrence time, risk level change trajectory, and governance status evolution process. The reconstructed locations and corresponding time-series tags are then mapped to a GIS spatial platform to construct a risk and hazard fusion map with temporal dynamism, spatial consistency, and unified expression of multiple risk types.

[0025] S11 includes: S111, constructing multiple heterogeneous datasets from hazard investigation records, risk classification ledgers, daily mining operation reports, and online sensor sampling logs, including: The hazard investigation record is used to record the time of hazard reporting, the reporting personnel, and the initial location; The risk classification ledger provides risk level, governance status, and responsible unit; The daily mining operation report includes the operation area, date, and work team; The online sensor sampling log includes location signal, sampling time, sensing accuracy, and changes in gas concentration, water pressure, or geological structure; This study uses heterogeneous data from multiple sources to uniformly identify geological structural risks, underground gas risks, and groundwater risks involved in coal mine production. It then performs event ID-based alignment and fusion on these heterogeneous datasets to extract key information for each potential hazard event, including historical reporting times. Identification of the person responsible for reporting Spatial coordinate snapshot Risk type tags, event type tags and data source identification; The risk type label is used to identify whether a potential hazard event belongs to one of the following: geological structure risk, underground gas risk, or groundwater risk. Simultaneously, the mining operation schedule and geological survey model are invoked to obtain the planned coordinate trajectory of the corresponding operation area within the same time period. ; S112, for each potential hazard event, calculate the difference between its coordinate update time and the sensor sampling rhythm. If If so, it is determined to be due to delayed data entry or abnormal coordinate updates. This is to account for the time discrepancy between the time the hazard was reported and the time the coordinates were updated. This represents the last update time for the corresponding coordinates. The theoretically expected maximum sampling interval, Set the sampling frequency for this position sensor. These are empirical weighting coefficients; S113, Spatial coordinate snapshot of the same potential hazard event Coordinates of the work area in the mining operation plan Calculate spatial offset ,like If so, it is determined that there is geographic label drift, where, The spatial offset threshold is expressed as: ; Spatial offset threshold Represented as: ; in, Based on the offset threshold, The risk level adjustment coefficients are: Red: 0.5, Orange: 0.75, Yellow: 1.0, Blue: 1.25. The coefficients for the working face scenarios are: fully mechanized mining: 0.5, tunneling: 1.0, and auxiliary area: 1.5. S114, if the hidden danger event meets the requirements or If so, the potential hazard event is determined to have spatiotemporal asynchronous characteristics.

[0026] S12 includes: S121, for potential incidents that have been identified as having spatiotemporal asynchronous characteristics. Extract time series from its historical reporting records Simultaneously, a snapshot of the current potential hazard's spatial coordinates is taken in the GIS space. Centered on a single point, a spatial neighborhood is constructed, and risk points with the same risk type or spatial proximity as the potential hazard event are selected within this spatial neighborhood. The selection is then performed within the radius of the spatial neighborhood. With time window Set of adjacent risk points within , represented as: ; ; in, For the first The time for reporting the potential hazard , In order to deal with potential incidents The number of related historical reports These are the corresponding spatial coordinates; S122, for potential events with missing or lagging coordinates, a weighted spatial-temporal joint difference model is used at the target time. Calculate and reconstruct the spatial coordinates of potential hazards , represented as: ; ; in, For the neighboring region Coordinates of each risk point The spatial attenuation coefficient, The time decay coefficient, For the first The overall contribution weight of each neighboring point to the current hidden danger; S123, based on the reconstructed spatial coordinates of potential hazards Generate a time-series evolution tag set for each potential event. and will and These are jointly mapped onto a GIS platform to construct a risk and hazard fusion map that simultaneously satisfies spatial representation consistency and temporal dynamic evolution characteristics, represented as: ; in, The time when the hazard occurs or is identified. This shows the trajectory of risk level changes over time. The governance status evolution identifiers include ungoverned, under governance, and eliminated; the time-series evolution tag set includes risk type, occurrence time, risk level change trajectory, and governance status evolution information.

[0027] The risk levels are shown in Table 1: Table 1 Risk Levels

[0028] S2 includes: S21, based on the real-time work trajectory collected by the production dynamic control system, extracts the work point in time. spatial location Reconstructed spatial coordinates of each hazard event in the risk and hazard fusion map and time of occurrence A point-by-point comparison is performed. If the spatial distance between the work point and any potential hazard exceeds the dynamic spatial offset threshold or time deviation set between the corresponding risk level and the work area, the comparison is made accordingly. If the allowable time window set by the sensor sampling period is exceeded, the work point is determined to have a potential position drift matching anomaly. S22. For work points identified as having potential location drift matching anomalies, a risk migration zone is constructed by combining the label evolution window of the corresponding hidden danger event, the spatial inertial direction of the work trajectory, and the spatial constraint boundary set in the geological measurement model, and a highly sensitive trigger boundary is set at its outer edge.

[0029] S21 includes: S211, Obtain the work trajectory flow from the production dynamic control system. Extract the reconstructed spatial coordinates of each hazard event from the risk and hazard fusion map. and time of occurrence ; S212, for any work point and potential incidents Calculate its spatial offset With time deviation , represented as: ; ; S213, if the work site and any potential hazard event satisfy... or Then the work point It was determined that there was a potential positional drift matching anomaly, among which, This is the spatial offset threshold. This is the time offset threshold; ; ; in, For trajectory offset relaxation factor, This represents the trajectory offset time tolerance factor.

[0030] S22 includes: S221, for work points identified as having potential position drift matching anomalies. Extract the risk label evolution window of its associated potential hazards. ,in, The initial risk level, The current risk level is... To illustrate the hierarchical evolution trend, the spatial inertial direction vector of the work point in the trajectory is calculated based on the continuous work trajectory. , represented as: ; in, , These are the spatial coordinates and timestamp of the previous moment, respectively. S222, with work point Center point, spatial inertial direction vector Using the main axis and combining the evolution trend and risk level of potential hazards, an elliptical region modeling method is used to construct the spatial shape of the risk migration zone, generating the risk migration zone. , represented as: ; in, Let be the semi-axial length of the displacement region along the inertial direction. The lateral expansion length of the embankment. It is a direction vector perpendicular to the direction of inertia; S223, in the risk shift zone Extend a layer of dynamic, highly sensitive triggering boundary from the edge. This is used to detect in advance the trend of an operation trajectory entering a high-risk area, and is represented as: ; in, , These represent the outward expansion length of the high-sensitivity boundary. These are the boundary layer thickness control parameters.

[0031] S3 includes: S31, based on the current work position or work trajectory segment obtained by the production dynamic control system, perform spatial intersection calculation between its corresponding spatial coverage area and the risk shift zone, identify whether the work position has entered or is about to enter the influence range of the risk shift zone, and determine whether the intersection area is located within the high-sensitivity trigger boundary set at the outer edge of the risk shift zone. When it is detected that the work position and the high-sensitivity trigger boundary have a spatial overlap or proximity relationship, it is determined that the current work status meets the early warning trigger condition. S32, after the early warning triggering conditions are met, calls up the information on hidden danger events associated with the risk migration zone in the risk and hidden danger fusion map, and dynamically determines the early warning level by comprehensively considering its current risk level, label evolution trend and governance status, and adjusts the early warning display method and response responsibility unit. The early warning display method includes GIS layer color change, flashing mark and prompt information push. The response responsibility unit is matched and assigned according to the risk level and the type of work area, so as to realize the early identification, graded early warning and collaborative response of potential drifting areas of hidden dangers.

[0032] S31 includes: S311, based on the trajectory information collected by the production dynamic control system, select the current time point. Nearby trajectory segments And for each trajectory point, construct a buffer distance with the point as its center and a radius as its radius. The spatial buffers are then combined to form the coverage area of ​​the work trajectory for the current time period. , represented as: ; S312, covering the work trajectory area The intersection judgment with the constructed risk shift zone and the high-sensitivity trigger boundary execution space is represented as: ; ; in, The intersection of the operation trajectory coverage area and the risk migration area. The intersection of the operation trajectory coverage area and the high-sensitivity trigger boundary; like If there is a non-empty intersection between the operation trajectory coverage area and the high-sensitivity trigger boundary, it is determined that the early warning trigger condition is met. S313, the intersection of the operation trajectory coverage area and the high-sensitivity trigger boundary. The area determination is expressed as follows: ; in, The result is a Boolean value indicating whether an alert is triggered. This is the minimum warning trigger area threshold.

[0033] S32 includes: S321, When the warning triggering conditions are met, retrieve the hazard event information associated with the risk migration area from the risk hazard fusion map, and extract the associated hazard tags, including the current risk level. Blue, yellow, orange, red Hierarchical evolution trend and governance status Untreated, under treatment, closed loop The associated hazard labels are quantified into numerical levels to calculate the early warning intensity. and increase the warning intensity Discrete mapping to warning level ,when At that time, the warning level It is a Level 1 warning, when At that time, the warning level It is a level 2 warning, when At that time, the warning level It is a Level III warning, with a warning intensity of [missing information]. Represented as: ; in, This is a risk level rating function, where blue = 1, yellow = 2, orange = 3, and red = 4. The trend scoring function is as follows: rising = 1, stable = 0.5, falling = 0. The state function is defined as follows: untreated = 1, under treatment = 0.5, closed loop = 0. , , These are the corresponding weight coefficients; S322, based on the determined warning level Dynamically adjust the visualization presentation on the GIS platform, specifically including: The layer color updates from blue, yellow, orange to red according to the risk level, reflecting the upward trend of the risk level in real time; The flashing frequency increases as the warning level increases; the red warning area flashes at a high frequency, while the blue warning area remains constantly lit or flashes at a low frequency. The information notification window will push a description of the current risk point, the warning level, the responsible unit, and response suggestions, covering both duty terminals and mobile devices; S323, based on the current warning level Matching the corresponding response responsibility unit (such as dispatch room, ventilation team, safety supervision department, etc.) with the type of work area (such as fully mechanized mining, tunneling, auxiliary) and automatically generating response tasks, specifically including: Obtain the response matrix table ,in, Indicates the type of work area; Identify the main responsible units ; Generate task units, including response time requirements and processing method suggestions.

[0034] This invention encompasses any substitutions, modifications, equivalent methods, and solutions made within the spirit and scope of this invention. To provide the public with a thorough understanding of this invention, specific details are described in detail in the following preferred embodiments; however, those skilled in the art will fully understand the invention even without these details. Furthermore, to avoid unnecessary misunderstanding of the essence of this invention, well-known methods, processes, procedures, components, and circuits are not described in detail.

[0035] The above description is only a preferred embodiment of the present invention. It should be noted that for those skilled in the art, several improvements and modifications can be made without departing from the principle of the present invention, and these improvements and modifications should also be considered within the scope of protection of the present invention.

Claims

1. A coal mine dual-prevention mechanism early warning method that fuses GIS spatial positioning and dynamic management and control, characterized in that, Includes the following steps: S1, based on data from hazard investigation records, risk classification ledgers, daily mining operation reports, and online sensor sampling logs, uniformly identifies and aggregates data on geological structure risks, underground gas risks, and groundwater risks involved in coal mine production, extracting key element information for each risk point. When extracting key information of risk points, risk type labels, spatial coordinate information, occurrence time information and risk level information are obtained simultaneously. Combined with mining plans, geological survey models and sensor sampling frequencies, risk points with delayed or asynchronous coordinate updates are identified. For the identified risk points, the coordinates and time series are corrected and completed by the space-time difference reconstruction method to generate a risk hazard fusion map with risk type labels and time series evolution labels; S2, perform spatial-temporal joint matching between the real-time operation location trajectory in the production dynamic control system and the risk and hidden danger fusion map. If there is a time asynchrony or coordinate offset exceeding the limit between the trajectory path and the hidden danger point in the risk and hidden danger fusion map, the coordinate correction calculation process is triggered. Based on the label time sequence window of the hidden danger point, the historical inertia of the operation path and the spatial limit boundary, the risk shift zone and its high-sensitivity trigger boundary are dynamically generated. S3, perform an intersection calculation on the overlapping area between the risk shifting area and the current work position. If the intersection area is within the high-sensitivity trigger boundary, an early warning prompt will be automatically triggered. Based on the risk level and label evolution trend in the risk hazard fusion map, the early warning level, display method and response responsibility unit will be dynamically adjusted.

2. The early warning method for a coal mine dual-prevention mechanism integrating GIS spatial positioning and dynamic control as described in claim 1, characterized in that, S1 includes: S11, based on multiple heterogeneous data sources such as hidden danger investigation records, risk classification ledgers, daily mining operation reports and online sensor sampling logs, uniformly identifies and aggregates geological structure risks, underground gas risks and groundwater risks involved in the coal mine production process, and extracts key element information related to risk and hidden danger events, including historical reporting time, reporting responsible person identification, spatial coordinate snapshot, risk type label, event type label and data source identification; in: The geological structural risks include faults, fracture zones, and tectonic deformation zones; The underground gas risks include abnormal gas concentrations, gas outbursts, or changes in gas pressure. The groundwater risks mentioned include the risk of sudden water inrush, abnormal aquifer connectivity, or changes in water pressure. After extracting the key element information, the spatiotemporal attributes of each risk event are analyzed in conjunction with the mining operation schedule and the geological survey model. The analysis determines whether there are any abnormalities such as delayed input, inconsistent coordinate update frequency, or geographic label drift in the spatial coordinates and time records. Based on this, risk events with spatiotemporal asynchronous characteristics are identified. S12, For the identified risk events with spatiotemporal asynchronous characteristics, based on their historical reporting sequence and the spatiotemporal location distribution of the same risk type or adjacent risk points, the space-time joint difference reconstruction algorithm is used to dynamically complete the missing or lagging coordinate data, forming a risk evolution path that simultaneously reflects the spatial migration relationship and the temporal change relationship of the risk. After obtaining the reconstructed locations of risk and hazard events, each hazard event is labeled with a time-series tag that includes the risk type, occurrence time, risk level change trajectory, and governance status evolution process. The reconstructed locations and corresponding time-series tags are then mapped to a GIS spatial platform to construct a risk and hazard fusion map with temporal dynamism, spatial consistency, and unified expression of multiple risk types.

3. The early warning method for a coal mine dual-prevention mechanism integrating GIS spatial positioning and dynamic control as described in claim 2, characterized in that, S11 includes: S111, constructing multiple heterogeneous datasets from hazard investigation records, risk classification ledgers, daily mining operation reports, and online sensor sampling logs, including: The hazard investigation record is used to record the time of hazard reporting, the reporting personnel, and the initial location; The risk classification ledger provides risk level, governance status, and responsible unit; The daily mining operation report includes the operation area, date, and work team; The online sensor sampling log includes location signal, sampling time, sensing accuracy, and changes in gas concentration, water pressure, or geological structure; This study uses heterogeneous data from multiple sources to uniformly identify geological structural risks, underground gas risks, and groundwater risks involved in coal mine production. It then performs event ID-based alignment and fusion on these heterogeneous datasets to extract key information for each potential hazard event, including historical reporting times. Identification of the person responsible for reporting Spatial coordinate snapshot Risk type tags, event type tags and data source identification; The risk type label is used to identify whether a potential hazard event belongs to one of the following: geological structure risk, underground gas risk, or groundwater risk. Simultaneously, the mining operation schedule and geological survey model are invoked to obtain the planned coordinate trajectory of the corresponding operation area within the same time period. ; S112, for each potential hazard event, calculate the difference between its coordinate update time and the sensor sampling rhythm. If If so, it is determined to be due to delayed data entry or abnormal coordinate updates. This is to account for the time discrepancy between the time the hazard was reported and the time the coordinates were updated. The theoretically expected maximum sampling interval, These are empirical weighting coefficients; S113, Spatial coordinate snapshot of the same potential hazard event Coordinates of the work area in the mining operation plan Calculate spatial offset ,like If so, it is determined that there is geographic label drift, where, Spatial offset threshold; S114, if the hidden danger event meets the requirements or If so, the potential hazard event is determined to have spatiotemporal asynchronous characteristics.

4. The early warning method for a coal mine dual-prevention mechanism integrating GIS spatial positioning and dynamic control as described in claim 3, characterized in that, S12 includes: S121, for potential incidents that have been identified as having spatiotemporal asynchronous characteristics. Extract time series from its historical reporting records Simultaneously, a snapshot of the current potential hazard's spatial coordinates is taken in the GIS space. Centered on a central point, a spatial neighborhood is constructed, and within this neighborhood, risk points with the same risk type as or spatially adjacent to the potential hazard event are selected, forming a risk zone within the radius of the spatial neighborhood. With time window Set of adjacent risk points within ; S122, for potential events with missing or lagging coordinates, a weighted spatial-temporal joint difference model is used at the target time. Calculate and reconstruct the spatial coordinates of potential hazards ; S123, based on the reconstructed spatial coordinates of potential hazards Generate a time-series evolution tag set for each potential event. and will and The risk hazard fusion map is jointly mapped to the GIS platform to construct a risk hazard fusion map that simultaneously satisfies the consistency of spatial representation and the characteristics of temporal dynamic evolution. The temporal evolution tag set includes risk type, occurrence time, risk level change trajectory, and governance status evolution information.

5. The early warning method for a coal mine dual-prevention mechanism integrating GIS spatial positioning and dynamic control as described in claim 4, characterized in that, S2 includes: S21, based on the real-time work trajectory collected by the production dynamic control system, extracts the work point in time. spatial location Reconstructed spatial coordinates of each hazard event in the risk and hazard fusion map and time of occurrence A point-by-point comparison is performed. If the spatial distance between the work point and any potential hazard exceeds the dynamic spatial offset threshold or time deviation set between the corresponding risk level and the work area, the comparison is made accordingly. If the allowable time window set by the sensor sampling period is exceeded, the work point is determined to have a potential position drift matching anomaly. S22. For work points identified as having potential location drift matching anomalies, a risk migration zone is constructed by combining the label evolution window of the corresponding hidden danger event, the spatial inertial direction of the work trajectory, and the spatial constraint boundary set in the geological measurement model, and a highly sensitive trigger boundary is set at its outer edge.

6. The early warning method for a coal mine dual-prevention mechanism integrating GIS spatial positioning and dynamic control as described in claim 5, characterized in that, S21 includes: S211, Obtain the work trajectory flow from the production dynamic control system. Extract the reconstructed spatial coordinates of each hazard event from the risk and hazard fusion map. and time of occurrence ; S212, for any work point and potential incidents Calculate its spatial offset With time deviation ; S213, if the work site and any potential hazard event satisfy... or Then the work point It was determined that there was a potential positional drift matching anomaly, among which, This is the spatial offset threshold. This is the time offset threshold.

7. The early warning method for a coal mine dual-prevention mechanism integrating GIS spatial positioning and dynamic control as described in claim 6, characterized in that, S22 includes: S221, for work points identified as having potential position drift matching anomalies. Extract the risk label evolution window of its associated potential hazards. ,in, The initial risk level, The current risk level is... To illustrate the hierarchical evolution trend, the spatial inertial direction vector of the work point in the trajectory is calculated based on the continuous work trajectory. ; S222, with work point Center point, spatial inertial direction vector Using the main axis and combining the evolution trend and risk level of potential hazards, an elliptical region modeling method is used to construct the spatial shape of the risk migration zone, generating the risk migration zone. ; S223, in the risk shift zone Extend a layer of dynamic, highly sensitive triggering boundary from the edge. .

8. The early warning method for a coal mine dual-prevention mechanism integrating GIS spatial positioning and dynamic control as described in claim 7, characterized in that, S3 includes: S31, based on the current work position or work trajectory segment obtained by the production dynamic control system, perform spatial intersection calculation between the corresponding spatial coverage area and the risk shift zone, identify whether the work position has entered or is about to enter the influence range of the risk shift zone, and determine whether the intersection area is located within the high-sensitivity trigger boundary set at the outer edge of the risk shift zone. When it is detected that the work position and the high-sensitivity trigger boundary have a spatial overlap or proximity relationship, determine that the current work status meets the early warning trigger condition. S32, after the early warning triggering conditions are met, the information of hidden danger events associated with the risk shift area in the risk and hidden danger fusion map is called. The early warning level is dynamically determined by comprehensively considering the current risk level, label evolution trend and governance status, and the early warning display method and response responsibility unit are adjusted. The early warning display method includes GIS layer color change, flashing mark and prompt information push. The response responsibility unit is matched and assigned according to the risk level and the type of work area.

9. The early warning method for a coal mine dual-prevention mechanism integrating GIS spatial positioning and dynamic control as described in claim 8, characterized in that, S31 includes: S311, based on the trajectory information collected by the production dynamic control system, select the current time point. Nearby trajectory segments And for each trajectory point, construct a buffer distance with the point as its center and a radius as its radius. The spatial buffers are then combined to form the coverage area of ​​the work trajectory for the current time period. ; S312, covering the work trajectory area The intersection judgment with the constructed risk shift zone and the high-sensitivity trigger boundary execution space is represented as: ； ； in, The intersection of the operation trajectory coverage area and the risk migration area. The intersection of the operation trajectory coverage area and the high-sensitivity trigger boundary; like If there is a non-empty intersection between the operation trajectory coverage area and the high-sensitivity trigger boundary, it is determined that the early warning trigger condition is met. S313, the intersection of the operation trajectory coverage area and the high-sensitivity trigger boundary. The area determination is expressed as follows: ； in, The result is a Boolean value indicating whether an alert is triggered. This is the minimum warning trigger area threshold.

10. The early warning method for a coal mine dual-prevention mechanism integrating GIS spatial positioning and dynamic control as described in claim 9, characterized in that, S32 includes: S321, When the warning triggering conditions are met, retrieve the hazard event information associated with the risk migration area from the risk hazard fusion map, and extract the associated hazard tags, including the current risk level. Blue, yellow, orange, red Hierarchical evolution trend and governance status Untreated, under treatment, closed loop The associated hazard labels are quantified into numerical levels to calculate the early warning intensity. and increase the warning intensity Discrete mapping to warning level ,when At that time, the warning level It is a Level 1 warning, when At that time, the warning level It is a level 2 warning, when At that time, the warning level It is a Level 3 warning; S322, based on the determined warning level Dynamically adjust the visualization presentation on the GIS platform, specifically including: The layer color updates from blue, yellow, orange to red according to the risk level, reflecting the upward trend of the risk level in real time; The flashing frequency increases as the warning level increases; the red warning area flashes at a high frequency, while the blue warning area remains constantly lit or flashes at a low frequency. The information notification window will push a description of the current risk point, the warning level, the responsible unit, and response suggestions, covering both duty terminals and mobile devices; S323, based on the current warning level Match the corresponding response responsibility unit with the work area type and automatically generate response tasks, specifically including: Obtain the response matrix table ,in, Indicates the type of work area; Identify the main responsible units ; Generate task units, including response time requirements and processing method suggestions.

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