Coal mine safety early warning system and method based on edge calculation

Abstract

The invention discloses a coal mine safety early warning system and method based on edge calculation, and relates to the technical field of coal mine safety early warning, a coal mining area is divided into a sub-working area and a plurality of sub-peripheral areas, and whether the sub-working area is abnormal is predicted according to a comparison result of an abnormal score of the working area and an abnormal threshold value; and according to a comparison result of the soil layer risk index and an index threshold value, predicting whether the sub-surrounding area is abnormal or not, generating a corresponding management strategy based on a sub-working area abnormity prediction result and a sub-surrounding area abnormity prediction result, and sending the management strategy to a coal mine management platform. And regularly analyzing the abnormal score of the working area and the abnormal score of the surrounding area through the evaluation model to judge whether the coal mine needs to be managed. The early warning system can carry out multi-area multi-source data fusion monitoring and early warning on coal mining, and regularly combines multi-area monitoring results to assess whether the whole coal mining needs to be managed or not, so that safe mining of a coal mine is greatly guaranteed.

Description

Technical Field

[0001] The present invention relates to the field of coal mine safety early warning technology, and in particular to a coal mine safety early warning system and method based on edge computing. Background Art

[0002] The early warning system is established to improve the level of coal mine safety management and prevent mining accidents. As a high-risk industry, coal mines have many potential dangers such as gas explosions, landslides, and water disasters. There have been many serious mining accidents in history, causing significant casualties and property losses. Therefore, the establishment and improvement of a coal mine safety early warning system is particularly important.

[0003] The prior art has the following deficiencies: Existing early warning systems usually install a series of sensor equipment in the main working area of ​​a coal mine for monitoring and early warning. However, since coal mining will have a collateral impact on the surrounding areas (for example, the vibration generated during coal mining may cause the surrounding areas to collapse), if only the main working area is monitored and warned, when abnormalities occur in the surrounding areas, they will radiate to the main working area of ​​the coal mine (for example, the collapse of the surrounding areas may cause the rock formations in the main working area to move and stress to concentrate, causing the main working area to collapse rapidly). At this time, even if the early warning system issues an early warning, the staff will not be able to move out of the mine in time, thereby failing to ensure the safe mining of the coal mine.

[0004] Based on this, the present invention proposes a coal mine safety early warning system and method based on edge computing, which can perform multi-region and multi-source data fusion monitoring and early warning on coal mining, and regularly combine the monitoring results of multiple regions to evaluate whether the entire coal mining needs to be managed, thereby greatly ensuring the safe mining of coal mines. Summary of the invention

[0005] The purpose of the present invention is to provide a coal mine safety early warning system and method based on edge computing to address the deficiencies in the background technology.

[0006] In order to achieve the above object, the present invention provides the following technical solution: a coal mine safety early warning method based on edge computing, the early warning method comprising the following steps: The early warning system obtains the map information of the coal mining area through the coal mine management platform, divides the coal mining area into a sub-working area and multiple sub-surrounding areas based on the map information, and generates the weight of each sub-surrounding area according to the distance between the multiple sub-surrounding areas and the sub-working area; During the coal mining process, the real-time cumulative risk index and soil layer risk index of the sub-working area are obtained, and the abnormal score of the working area is calculated based on the real-time cumulative risk index and the soil layer risk index. The sub-working area is predicted to have abnormalities based on the comparison result between the abnormal score of the working area and the abnormal threshold. The soil layer risk index of multiple sub-surrounding areas is obtained, and the sub-surrounding areas are predicted to have abnormalities based on the comparison result between the soil layer risk index and the index threshold. Based on the abnormal prediction results of the sub-working area and the abnormal prediction results of the sub-surrounding area, the corresponding management strategy is generated and sent to the coal mine management platform; The average working area anomaly score of the sub-working area and the average soil layer risk index of multiple sub-surrounding areas are obtained regularly, and the average soil layer risk index of multiple sub-surrounding areas is weighted to obtain the surrounding area anomaly score assignment. The evaluation model is used to analyze the average working area anomaly score and the surrounding area anomaly score assignment to determine whether the coal mine needs to be managed, and the judgment result is sent to the coal mine management platform.

[0007] In a preferred embodiment, the coal mining area is divided into a sub-working area and a plurality of sub-surrounding areas based on map information, comprising the following steps: Get the center position of the sub-work area And the radius The first sub-surrounding area is a ring area that spreads outward from the sub-working area. The surrounding area of ​​the sub The sub-peripheral area spreads outward into a ring area, and the width of each sub-peripheral area is are the same. For each sub-surrounding area, the boundaries are divided and set from the inside to the outside. The inner radius of the i-th sub-surrounding area is , the outer radius is ,and .

[0008] In a preferred embodiment, generating a weight of each sub-peripheral area according to the distance between the plurality of sub-peripheral areas and the sub-working area comprises the following steps: Get the distance between each sub-surrounding area and the sub-working area. The expression is: , where is the distance between the boundary of the ith sub-surrounding area and the boundary of the sub-working area, represents the outer radius of the ith sub-surrounding area, represents the radius of the ith sub-surrounding area, then the weight of the ith sub-surrounding area is:

[0009] In the formula, is the weight of the ith sub-surrounding area, represents the number of sub-surrounding areas, is the distance between the boundary of the ith sub-peripheral area and the boundary of the sub-working area.

[0010] In a preferred embodiment, during the coal mining process, obtaining the real-time cumulative risk index and soil layer risk index of the sub-working area includes the following steps: The function expression of the cumulative risk index is: , is the cumulative risk index, For time The gas concentration growth rate at time For time The coal dust concentration growth rate at the time, is the time range; The logic for obtaining the soil risk index is as follows: the vibration amplitude and displacement of the soil layer in the sub-working area are obtained in real time through sensing equipment, the vibration amplitude and displacement are normalized, the value range of the vibration amplitude and displacement is mapped to [0,1], the normalized value of the vibration amplitude and the normalized value of the displacement are obtained, and the normalized value of the vibration amplitude and the normalized value of the displacement are summed to obtain the soil risk index.

[0011] In a preferred embodiment, the abnormal score of the working area is calculated based on the real-time cumulative risk index and the soil layer risk index, and the abnormality of the sub-working area is predicted based on the comparison result between the abnormal score of the working area and the abnormal threshold, including the following steps: After the early warning system obtains the cumulative risk index and the soil layer risk index, it calculates and obtains the abnormal score of the working area. The function expression is: , where Score the work area for anomalies, is the cumulative risk index, is the soil risk index, , are the proportional coefficients of the cumulative risk index and the soil layer risk index, respectively, and , All are greater than 0; The obtained working area anomaly score is compared with the preset anomaly threshold. The anomaly threshold is used to predict whether anomalies will occur in the sub-working area during coal mining. If the working area anomaly score is less than or equal to the anomaly threshold, it is predicted that no anomalies will occur in the sub-working area during coal mining. If the working area anomaly score is greater than the anomaly threshold, it is predicted that anomalies will occur in the sub-working area during coal mining.

[0012] In a preferred embodiment, soil layer risk indexes of multiple sub-surrounding areas are obtained, and whether anomalies will occur in the sub-surrounding areas is predicted based on the comparison result between the soil layer risk index and the index threshold, including the following steps: The soil layer risk index obtained for the sub-peripheral area is compared with the preset index threshold. The index threshold is used to predict whether anomalies will occur in the sub-peripheral area during coal mining. If the soil layer risk index is less than or equal to the index threshold, it is predicted that no anomalies will occur in the sub-peripheral area during coal mining. If the soil layer risk index is greater than the index threshold, it is predicted that anomalies will occur in the sub-peripheral area during coal mining.

[0013] In a preferred embodiment, the evaluation model is used to analyze the mean abnormal score of the working area and the abnormal score assignment of the surrounding area to determine whether the coal mine needs to be managed, including the following steps: During multiple mining processes in a coal mine, if there are no abnormalities in the predictions for the sub-working area and the sub-surrounding area, the early warning system obtains the abnormal scores of the working area multiple times at regular intervals to calculate the average abnormal score of the working area, and obtains the soil layer risk index of the sub-surrounding area multiple times to calculate the average soil layer risk index for each sub-surrounding area; The soil layer risk index average of multiple sub-surrounding areas is weighted and calculated to obtain the surrounding area abnormality score assignment, and the expression is:

[0014] In the formula, Assign anomaly scores to the surrounding areas, is the weight of the ith sub-surrounding area, represents the number of sub-surrounding areas, represents the mean value of soil risk index of the ith sub-surrounding area; The evaluation model is used to analyze the mean abnormal score of the working area and the abnormal score assignment of the surrounding area to determine whether the coal mine needs to be managed. The function expression of the evaluation model is:

[0015] In the formula, is the management value, is the mean abnormal score of the working area, Assign anomaly scores to surrounding areas; If the management value is greater than the management threshold, it is determined that the coal mine needs to be managed. If the management value is less than or equal to the management threshold, it is determined that the coal mine does not need to be managed.

[0016] In a preferred embodiment, the coal mine safety early warning system based on edge computing includes a regional division module, a regional anomaly prediction module, and a comprehensive evaluation module; Area division module: obtain the coal mining area map information through the coal mine management platform, divide the coal mining area into a sub-working area and multiple sub-surrounding areas based on the map information, and generate the weight of each sub-surrounding area according to the distance between the multiple sub-surrounding areas and the sub-working area; Regional anomaly prediction module: During the coal mining process, the real-time cumulative risk index and soil layer risk index of the sub-working area are obtained, and the working area anomaly score is calculated based on the real-time cumulative risk index and the soil layer risk index. The sub-working area is predicted to have an anomaly based on the comparison result between the working area anomaly score and the anomaly threshold. The soil layer risk index of multiple sub-surrounding areas is obtained, and the sub-surrounding area is predicted to have an anomaly based on the comparison result between the soil layer risk index and the index threshold. Based on the sub-working area anomaly prediction results and the sub-surrounding area anomaly prediction results, the corresponding management strategy is generated and sent to the coal mine management platform; Comprehensive evaluation module: Regularly obtain the average working area anomaly score of the sub-working area and the average soil layer risk index of multiple sub-surrounding areas, weightedly calculate the average soil layer risk index of multiple sub-surrounding areas to obtain the surrounding area anomaly score assignment, and use the evaluation model to analyze the average working area anomaly score and the surrounding area anomaly score assignment to determine whether the coal mine needs to be managed, and send the judgment result to the coal mine management platform.

[0017] In the above technical solution, the technical effects and advantages provided by the present invention are: 1. The present invention divides the coal mining area into a sub-working area and multiple sub-peripheral areas, obtains the real-time cumulative risk index and soil layer risk index of the sub-working area, and calculates the abnormal score of the working area based on the real-time cumulative risk index and the soil layer risk index. It predicts whether the sub-working area will be abnormal based on the comparison result of the working area abnormal score and the abnormal threshold, and predicts whether the sub-peripheral area will be abnormal based on the comparison result of the soil layer risk index and the index threshold. Based on the abnormal prediction results of the sub-working area and the abnormal prediction results of the sub-peripheral area, a corresponding management strategy is generated and sent to the coal mine management platform, and the abnormal score of the working area and the abnormal score of the peripheral area are regularly analyzed through the evaluation model to determine whether the coal mine needs to be managed. The early warning system can perform multi-region and multi-source data fusion monitoring and early warning on coal mining, and regularly combines the monitoring results of multiple regions to evaluate whether the entire coal mining needs to be managed, which greatly ensures the safe mining of coal mines; 2. In the process of multiple mining in the coal mine, if the sub-working area and the sub-peripheral area are predicted to be normal, the early warning system obtains the abnormal scores of the working area multiple times at intervals to calculate the average of the abnormal scores of the working area, obtains the soil layer risk index of multiple sub-peripheral areas to calculate the average of the soil layer risk index for each sub-peripheral area, and weights the average of the soil layer risk index of multiple sub-peripheral areas to obtain the abnormal score assignment of the peripheral area, and analyzes the average of the abnormal score of the working area and the abnormal score assignment of the peripheral area through the evaluation model to determine whether the coal mine needs to be managed in advance. The early warning system can regularly combine the conditions of the sub-working area and the sub-peripheral area to determine whether the coal mine needs to be managed in advance, so that a safety assessment can be performed before coal mining, further improving the safety early warning effect of coal mining. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in the present invention. For ordinary technicians in this field, other drawings can also be obtained based on these drawings.

[0019] Figure 1 The figure is a flow chart of the method of the present invention. DETAILED DESCRIPTION

[0020] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0021] Example 1: Please refer to Figure 1 As shown, the coal mine safety early warning method based on edge computing described in this embodiment includes the following steps: The early warning system obtains the map information of the coal mining area through the coal mine management platform, divides the coal mining area into a sub-working area and multiple sub-peripheral areas based on the map information, generates the weight of each sub-peripheral area according to the distance between the multiple sub-peripheral areas and the sub-working area, the closer the sub-peripheral area is to the sub-working area, the greater the weight of the sub-peripheral area. In the process of coal mining, the real-time cumulative risk index and soil layer risk index of the sub-working area are obtained, and the abnormal score of the working area is calculated based on the real-time cumulative risk index and the soil layer risk index. The comparison result of the abnormal score of the working area and the abnormal threshold is used to predict whether the sub-working area will be abnormal. The soil layer risk index of the surrounding area is used to predict whether an abnormality will occur in the sub-surrounding area based on the comparison result between the soil layer risk index and the index threshold. The corresponding management strategy is generated based on the sub-working area abnormality prediction result and the sub-surrounding area abnormality prediction result and sent to the coal mine management platform. The mean working area abnormality score of the sub-working area and the mean soil layer risk index of multiple sub-surrounding areas are obtained regularly. The mean soil layer risk index of multiple sub-surrounding areas is weighted and calculated to obtain the surrounding area abnormality score assignment. The evaluation model is used to analyze the mean working area abnormality score and the surrounding area abnormality score assignment to determine whether the coal mine needs to be managed, and the judgment result is sent to the coal mine management platform.

[0022] This application divides the coal mining area into a sub-working area and multiple sub-peripheral areas, obtains the real-time cumulative risk index and soil risk index of the sub-working area, and calculates the abnormal score of the working area based on the real-time cumulative risk index and the soil risk index. It predicts whether the sub-working area will be abnormal based on the comparison result of the abnormal score of the working area and the abnormal threshold, and predicts whether the sub-peripheral area will be abnormal based on the comparison result of the soil risk index and the index threshold. Based on the abnormal prediction results of the sub-working area and the abnormal prediction results of the sub-peripheral area, a corresponding management strategy is generated and sent to the coal mine management platform, and the abnormal score of the working area and the abnormal score of the peripheral area are regularly analyzed through the evaluation model to determine whether the coal mine needs to be managed. The early warning system can perform multi-region and multi-source data fusion monitoring and early warning on coal mining, and regularly combine the monitoring results of multiple regions to evaluate whether the entire coal mining needs to be managed, which greatly ensures the safe mining of coal mines.

[0023] Embodiment 2: The early warning system obtains the coal mining area map information through the coal mine management platform, and divides the coal mining area into a sub-working area and a plurality of sub-surrounding areas based on the map information, including the following steps: Get the center position of the sub-work area , the center position Usually the center point of the mine or the center point of the mining area, get the radius of the sub-working area ,radius It is set according to the scope and mining conditions of the actual mine, and is not limited here. The first sub-peripheral area spreads outward from the sub-working area to form a ring area, and the second sub-peripheral area spreads outward from the first sub-peripheral area to form a ring area. And so on to obtain several sub-peripheral areas. The width of each sub-peripheral area are the same. For each sub-surrounding area, the boundaries are divided and set from the inside to the outside. The inner radius of the i-th sub-surrounding area is , the outer radius is ,in, , the boundary of the first sub-surrounding area is .

[0024] Generating a weight of each sub-peripheral area according to the distances between the plurality of sub-peripheral areas and the sub-working area, wherein the closer the distance between the sub-peripheral area and the sub-working area is, the greater the weight of the sub-peripheral area is, comprises the following steps: Get the distance between each sub-surrounding area and the sub-working area. The expression is: , where is the distance between the boundary of the ith sub-surrounding area and the boundary of the sub-working area, represents the outer radius of the ith sub-surrounding area, represents the radius of the ith sub-surrounding area, then the weight of the ith sub-surrounding area is:

[0025] In the formula, is the weight of the ith sub-surrounding area, represents the number of sub-surrounding areas, is the distance between the boundary of the ith sub-peripheral area and the boundary of the sub-working area.

[0026] Assume that the radius of the sub-working area is 100m, the width of the sub-peripheral area is 50m, and there are 3 sub-peripheral areas: First sub-surrounding area: inner radius , outer radius ; Second sub-surrounding area: inner radius , outer radius ; The third sub-surrounding area: inner radius , outer radius ; The distance between the first sub-surrounding area boundary and the sub-working area boundary is 125m, the distance between the second sub-surrounding area boundary and the sub-working area boundary is 175m, and the distance between the third sub-surrounding area boundary and the sub-working area boundary is 225m. Then:

[0027]

[0028]

[0029] In the formula, , , are the weights of the first sub-surrounding area, the second sub-surrounding area, and the third sub-surrounding area, respectively. is the distance between the first sub-peripheral area boundary and the sub-working area boundary, is the distance between the boundary of the second sub-peripheral area and the boundary of the sub-working area, is the distance between the boundary of the third sub-peripheral area and the boundary of the sub-working area.

[0030] During coal mining, obtaining the real-time cumulative risk index and soil layer risk index of the sub-working area includes the following steps: The function expression of the cumulative risk index is: , is the cumulative risk index, For time The gas concentration growth rate at time For time The coal dust concentration growth rate at the time, For the time range, when the cumulative risk index is larger, the safety risks in coal mining are manifested in the following impacts: Increased safety hazards: The increase in the cumulative risk value means that the gas concentration and coal dust concentration are at a high level for a period of time, or exceed the standard frequently. This may be caused by factors such as gas accumulation inside the mine and poor ventilation, posing a major safety hazard.

[0031] Increased risk of explosion and fire: High gas concentration and coal dust concentration are one of the main factors for explosion and fire in coal mines. The increase in the cumulative risk value may lead to an increase in the risk of these hazards, thereby increasing the likelihood of explosion and fire in mines.

[0032] Increased pressure on production safety: Coal mine management departments and staff need to increase safety monitoring efforts, strengthen production safety management, and adopt stricter safety measures to reduce the occurrence of accidents and protect the lives and property of workers.

[0033] Production restrictions or shutdowns: To reduce safety risks, it may be necessary to reduce or stop coal mining activities, which will affect production plans and the economic benefits of the mine.

[0034] Increased environmental pollution: High coal dust concentrations may lead to increased pollution in the environment around coal mines, affecting the environment and people's health in the surrounding areas.

[0035] The logic of obtaining the soil layer risk index is as follows: the vibration amplitude and displacement of the soil layer in the sub-working area are obtained in real time through the sensing equipment, the vibration amplitude and displacement are normalized, the value range of the vibration amplitude and displacement is mapped to [0,1], the normalized value of the vibration amplitude and the normalized value of the displacement are obtained, and the normalized value of the vibration amplitude and the normalized value of the displacement are summed to obtain the soil layer risk index, wherein the normalization of the vibration amplitude and the displacement belongs to the prior art and will not be elaborated here; The calculation expressions of vibration amplitude and displacement are:

[0036] In the formula, is the vibration amplitude, is the initial value of the vibration amplitude, is the angular frequency, For time, is the initial phase, is the displacement, is the initial displacement of the soil layer monitoring point, is the initial velocity of the soil layer monitoring point, is the acceleration of the soil layer monitoring point; The larger the soil risk index is, the greater the soil vibration amplitude or displacement in the coal mining area is, which may indicate that there are safety risks in coal mining. The specific impacts include: Increased risk of geological disasters: Increased vibration amplitude and displacement of soil layers may lead to increased risk of geological disasters, such as ground subsidence, landslides, collapses, etc., posing a threat to the safety of areas surrounding the mine.

[0037] Damage to mining facilities: Soil vibration may cause damage or rupture of mining facilities (such as tunnels, pillars, etc.), increase safety hazards inside the mine, and even lead to accidents.

[0038] Equipment damage: Soil vibration will affect the equipment in the mine, aggravating the wear and damage of the equipment, reducing the service life of the equipment and increasing maintenance costs.

[0039] Workers' safety is threatened: Soil vibration poses a direct threat to workers' safety and may lead to serious consequences such as collapse, casualties, etc.

[0040] Increased environmental pollution: Soil vibration may cause soil loosening, resulting in the release of environmental pollutants such as coal dust and wastewater into the surrounding environment, affecting the surrounding ecological environment and people's lives.

[0041] The abnormal score of the working area is calculated based on the real-time cumulative risk index and the soil layer risk index. The abnormal score of the working area is compared with the abnormal threshold to predict whether the sub-working area will be abnormal, including the following steps: After the early warning system obtains the cumulative risk index and the soil layer risk index, it calculates and obtains the abnormal score of the working area. The function expression is: , where Score the work area anomaly, is the cumulative risk index, is the soil risk index, , are the proportional coefficients of the cumulative risk index and the soil layer risk index, respectively, and , All are greater than 0; The larger the working area anomaly score, the more likely it is that an anomaly will occur in the sub-working area. The obtained working area anomaly score is compared with the preset anomaly threshold. The anomaly threshold is used to predict whether an anomaly will occur in the sub-working area during coal mining. If the working area anomaly score is less than or equal to the anomaly threshold, it is predicted that no anomaly will occur in the sub-working area during coal mining. If the working area anomaly score is greater than the anomaly threshold, it is predicted that an anomaly will occur in the sub-working area during coal mining.

[0042] Obtain soil layer risk indexes of multiple sub-surrounding areas, and predict whether anomalies will occur in the sub-surrounding areas based on the comparison results of the soil layer risk indexes and the index thresholds, including the following steps: The logic of obtaining the soil layer risk index is as follows: the vibration amplitude and displacement of the soil layer in the sub-surrounding area are obtained in real time through the sensing equipment, the vibration amplitude and displacement are normalized, the value range of the vibration amplitude and displacement is mapped to [0,1], the normalized value of the vibration amplitude and the normalized value of the displacement are obtained, and the normalized value of the vibration amplitude and the normalized value of the displacement are summed to obtain the soil layer risk index, wherein the normalization of the vibration amplitude and the displacement belongs to the prior art and will not be elaborated here; The larger the soil risk index is, the more likely it is that an abnormality will occur in the sub-peripheral area. The soil risk index obtained for the sub-peripheral area is compared with the preset index threshold. The index threshold is used to predict whether an abnormality will occur in the sub-peripheral area during coal mining. If the soil risk index is less than or equal to the index threshold, it is predicted that no abnormality will occur in the sub-peripheral area during coal mining. If the soil risk index is greater than the index threshold, it is predicted that an abnormality will occur in the sub-peripheral area during coal mining.

[0043] Based on the abnormal prediction results of the sub-working area and the abnormal prediction results of the sub-surrounding area, a corresponding management strategy is generated and sent to the coal mine management platform, including the following steps: When it is predicted that there will be no abnormality in the sub-working area or the sub-surrounding area during the coal mining process, the early warning system does not generate a management strategy. When it is predicted that there will be abnormality in the sub-working area or the sub-surrounding area during the coal mining process, the early warning system generates a management strategy, and when it is predicted that there will be abnormality in the sub-working area during the coal mining process, a management strategy requiring emergency management is generated. When it is predicted that there will be abnormality in the sub-surrounding area during the coal mining process, a management strategy requiring management is generated.

[0044] The average abnormal score of the working area of ​​the sub-working area and the average soil layer risk index of multiple sub-surrounding areas are obtained regularly, and the average soil layer risk index of multiple sub-surrounding areas is weighted to obtain the abnormal score assignment of the surrounding area. The average abnormal score of the working area and the abnormal score assignment of the surrounding area are analyzed by the evaluation model to determine whether the coal mine needs to be managed, and the judgment result is sent to the coal mine management platform, including the following steps: During multiple mining processes in a coal mine, if there are no abnormalities in the predictions for the sub-working area and the sub-surrounding area, the early warning system obtains the abnormal scores of the working area multiple times at regular intervals to calculate the average abnormal score of the working area, and obtains the soil layer risk index of the sub-surrounding area multiple times to calculate the average soil layer risk index for each sub-surrounding area; The soil layer risk index average of multiple sub-surrounding areas is weighted and calculated to obtain the surrounding area abnormality score assignment, and the expression is:

[0045] In the formula, Assign anomaly scores to the surrounding areas, is the weight of the ith sub-surrounding area, represents the number of sub-surrounding areas, represents the mean value of soil risk index of the ith sub-surrounding area; The evaluation model is used to analyze the mean abnormal score of the working area and the abnormal score assignment of the surrounding area to determine whether the coal mine needs to be managed. The function expression of the evaluation model is:

[0046] In the formula, is the management value, is the mean abnormal score of the working area, Assign anomaly scores to surrounding areas; If the management value is greater than the management threshold, it is determined that the coal mine needs to be managed; if the management value is less than or equal to the management threshold, it is determined that the coal mine does not need to be managed; In the process of multiple mining in the coal mine, if the predictions of the sub-working area and the sub-surrounding area are all normal, the early warning system obtains the abnormal scores of the working area multiple times at intervals to calculate the average of the abnormal scores of the working area, obtains the soil layer risk index of multiple sub-surrounding areas to calculate the average of the soil layer risk index for each sub-surrounding area, and weights the average of the soil layer risk index of multiple sub-surrounding areas to obtain the abnormal score assignment of the surrounding area, and analyzes the average of the abnormal score of the working area and the abnormal score assignment of the surrounding area through the evaluation model to determine whether the coal mine needs to be managed in advance. The early warning system can regularly combine the conditions of the sub-working area and the sub-surrounding area to determine whether the coal mine needs to be managed in advance, so that a safety assessment can be performed before coal mining, further improving the safety early warning effect of coal mining.

[0047] Embodiment 3: The coal mine safety early warning system based on edge computing described in this embodiment includes a regional division module, a regional anomaly prediction module, and a comprehensive evaluation module; Area division module: obtains coal mining area map information through the coal mine management platform, divides the coal mining area into a sub-working area and multiple sub-peripheral areas based on the map information, generates the weight of each sub-peripheral area according to the distance between the multiple sub-peripheral areas and the sub-working area, the closer the sub-peripheral area is to the sub-working area, the greater the weight of the sub-peripheral area, and the division results of the sub-working area and multiple sub-peripheral areas are sent to the regional anomaly prediction module, and the weight of each sub-peripheral area is sent to the comprehensive evaluation module; Regional anomaly prediction module: During the coal mining process, the real-time cumulative risk index and soil layer risk index of the sub-working area are obtained, and the working area anomaly score is calculated based on the real-time cumulative risk index and the soil layer risk index. The sub-working area is predicted to have an anomaly based on the comparison result between the working area anomaly score and the anomaly threshold. The soil layer risk index of multiple sub-surrounding areas is obtained, and the sub-surrounding area is predicted to have an anomaly based on the comparison result between the soil layer risk index and the index threshold. Based on the sub-working area anomaly prediction results and the sub-surrounding area anomaly prediction results, the corresponding management strategy is generated and sent to the coal mine management platform, and the working area anomaly score and soil layer risk index are sent to the comprehensive evaluation module; Comprehensive evaluation module: Regularly obtain the average working area anomaly score of the sub-working area and the average soil layer risk index of multiple sub-surrounding areas, weightedly calculate the average soil layer risk index of multiple sub-surrounding areas to obtain the surrounding area anomaly score assignment, and use the evaluation model to analyze the average working area anomaly score and the surrounding area anomaly score assignment to determine whether the coal mine needs to be managed, and send the judgment result to the coal mine management platform.

[0048] The above formulas are all dimensionless and numerical calculations. The formula is a formula for the most recent real situation obtained by collecting a large amount of data and performing software simulation. The preset parameters in the formula are set by technicians in this field according to actual conditions.

[0049] It should be understood that the term "and / or" in this article is only a description of the association relationship of associated objects, indicating that there can be three relationships. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. A and B can be singular or plural. In addition, the character " / " in this article generally indicates that the associated objects before and after are in an "or" relationship, but it may also indicate an "and / or" relationship. Please refer to the context for specific understanding.

[0050] It should be understood that in the various embodiments of the present application, the size of the serial numbers of the above-mentioned processes does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0051] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application. Those skilled in the art can clearly understand that for the convenience and simplicity of description, the specific working process of the above-described system, device and unit can refer to the corresponding process in the aforementioned method embodiment, and will not be repeated here.

[0052] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

1. A coal mine safety early warning method based on edge computing, characterized by: The early warning method comprises the following steps: The early warning system obtains the map information of the coal mining area through the coal mine management platform, divides the coal mining area into a sub-working area and multiple sub-surrounding areas based on the map information, and generates the weight of each sub-surrounding area according to the distance between the multiple sub-surrounding areas and the sub-working area; During the coal mining process, the real-time cumulative risk index and soil layer risk index of the sub-working area are obtained, and the abnormal score of the working area is calculated based on the real-time cumulative risk index and the soil layer risk index. The sub-working area is predicted to have abnormalities based on the comparison result between the abnormal score of the working area and the abnormal threshold. The soil layer risk index of multiple sub-surrounding areas is obtained, and the sub-surrounding areas are predicted to have abnormalities based on the comparison result between the soil layer risk index and the index threshold. Based on the abnormal prediction results of the sub-working area and the abnormal prediction results of the sub-surrounding area, the corresponding management strategy is generated and sent to the coal mine management platform; The average working area anomaly score of the sub-working area and the average soil layer risk index of multiple sub-surrounding areas are obtained regularly, and the average soil layer risk index of multiple sub-surrounding areas is weighted to obtain the surrounding area anomaly score assignment. The evaluation model is used to analyze the average working area anomaly score and the surrounding area anomaly score assignment to determine whether the coal mine needs to be managed, and the judgment result is sent to the coal mine management platform.

2. The coal mine safety early warning method based on edge computing according to claim 1 is characterized in that: Dividing the coal mining area into a sub-working area and a plurality of sub-surrounding areas based on map information includes the following steps: Get the center position of the sub-work area And the radius The first sub-surrounding area is a ring area that spreads outward from the sub-working area. The surrounding area of ​​the sub The sub-peripheral area spreads outward into a ring area, and the width of each sub-peripheral area is are the same. For each sub-surrounding area, the boundaries are divided and set from the inside to the outside. The inner radius of the i-th sub-surrounding area is , the outer radius is ,and .

3. The coal mine safety early warning method based on edge computing according to claim 2 is characterized in that: Generating a weight of each sub-peripheral area according to the distances between the plurality of sub-peripheral areas and the sub-working area comprises the following steps: Get the distance between each sub-surrounding area and the sub-working area. The expression is: , where is the distance between the boundary of the ith sub-surrounding area and the boundary of the sub-working area, represents the outer radius of the ith sub-surrounding area, represents the radius of the ith sub-surrounding area, then the weight of the ith sub-surrounding area is: In the formula, is the weight of the ith sub-surrounding area, represents the number of sub-surrounding areas, is the distance between the boundary of the ith sub-peripheral area and the boundary of the sub-working area.

4. The coal mine safety early warning method based on edge computing according to claim 3 is characterized in that: During coal mining, obtaining the real-time cumulative risk index and soil layer risk index of the sub-working area includes the following steps: The function expression of the cumulative risk index is: , is the cumulative risk index, For time The gas concentration growth rate at time For time The coal dust concentration growth rate at the time, is the time range; The logic for obtaining the soil risk index is as follows: the vibration amplitude and displacement of the soil layer in the sub-working area are obtained in real time through sensing equipment, the vibration amplitude and displacement are normalized, the value range of the vibration amplitude and displacement is mapped to [0,1], the normalized value of the vibration amplitude and the normalized value of the displacement are obtained, and the normalized value of the vibration amplitude and the normalized value of the displacement are summed to obtain the soil risk index.

5. The coal mine safety early warning method based on edge computing according to claim 4 is characterized in that: The abnormal score of the working area is calculated based on the real-time cumulative risk index and the soil layer risk index. The abnormal score of the working area is compared with the abnormal threshold to predict whether the sub-working area will be abnormal, including the following steps: After the early warning system obtains the cumulative risk index and the soil layer risk index, it calculates and obtains the abnormal score of the working area. The function expression is: , where Score the work area for anomalies, is the cumulative risk index, is the soil risk index, , are the proportional coefficients of the cumulative risk index and the soil layer risk index, respectively, and , All are greater than 0; The obtained working area anomaly score is compared with the preset anomaly threshold. The anomaly threshold is used to predict whether anomalies will occur in the sub-working area during coal mining. If the working area anomaly score is less than or equal to the anomaly threshold, it is predicted that no anomalies will occur in the sub-working area during coal mining. If the working area anomaly score is greater than the anomaly threshold, it is predicted that anomalies will occur in the sub-working area during coal mining.

6. The coal mine safety early warning method based on edge computing according to claim 5 is characterized in that: Obtain soil layer risk indexes of multiple sub-surrounding areas, and predict whether anomalies will occur in the sub-surrounding areas based on the comparison results of the soil layer risk indexes and the index thresholds, including the following steps: The soil layer risk index obtained for the sub-peripheral area is compared with the preset index threshold. The index threshold is used to predict whether anomalies will occur in the sub-peripheral area during coal mining. If the soil layer risk index is less than or equal to the index threshold, it is predicted that no anomalies will occur in the sub-peripheral area during coal mining. If the soil layer risk index is greater than the index threshold, it is predicted that anomalies will occur in the sub-peripheral area during coal mining.

7. The coal mine safety early warning method based on edge computing according to claim 6 is characterized in that: The evaluation model is used to analyze the mean abnormal score of the working area and the abnormal score assignment of the surrounding area to determine whether the coal mine needs to be managed, including the following steps: During multiple mining processes in a coal mine, if there are no abnormalities in the predictions for the sub-working area and the sub-surrounding area, the early warning system obtains the abnormal scores of the working area multiple times at regular intervals to calculate the average abnormal score of the working area, and obtains the soil layer risk index of the sub-surrounding area multiple times to calculate the average soil layer risk index for each sub-surrounding area; The soil layer risk index average of multiple sub-surrounding areas is weighted and calculated to obtain the surrounding area abnormality score assignment, and the expression is: In the formula, Assign anomaly scores to the surrounding areas, is the weight of the ith sub-surrounding area, represents the number of sub-surrounding areas, represents the mean value of soil risk index of the ith sub-surrounding area; The evaluation model is used to analyze the mean abnormal score of the working area and the abnormal score assignment of the surrounding area to determine whether the coal mine needs to be managed. The function expression of the evaluation model is: In the formula, is the management value, is the mean abnormal score of the working area, Assign anomaly scores to surrounding areas; If the management value is greater than the management threshold, it is determined that the coal mine needs to be managed. If the management value is less than or equal to the management threshold, it is determined that the coal mine does not need to be managed.

8. A coal mine safety early warning system based on edge computing, used to implement the early warning method according to any one of claims 1 to 7, characterized in that: It includes regional division module, regional anomaly prediction module and comprehensive evaluation module; Area division module: obtain the coal mining area map information through the coal mine management platform, divide the coal mining area into a sub-working area and multiple sub-surrounding areas based on the map information, and generate the weight of each sub-surrounding area according to the distance between the multiple sub-surrounding areas and the sub-working area; Regional anomaly prediction module: During the coal mining process, the real-time cumulative risk index and soil layer risk index of the sub-working area are obtained, and the working area anomaly score is calculated based on the real-time cumulative risk index and the soil layer risk index. The sub-working area is predicted to have an anomaly based on the comparison result between the working area anomaly score and the anomaly threshold. The soil layer risk index of multiple sub-surrounding areas is obtained, and the sub-surrounding area is predicted to have an anomaly based on the comparison result between the soil layer risk index and the index threshold. Based on the sub-working area anomaly prediction results and the sub-surrounding area anomaly prediction results, the corresponding management strategy is generated and sent to the coal mine management platform; Comprehensive evaluation module: Regularly obtain the average working area anomaly score of the sub-working area and the average soil layer risk index of multiple sub-surrounding areas, weightedly calculate the average soil layer risk index of multiple sub-surrounding areas to obtain the surrounding area anomaly score assignment, and use the evaluation model to analyze the average working area anomaly score and the surrounding area anomaly score assignment to determine whether the coal mine needs to be managed, and send the judgment result to the coal mine management platform.

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