CN116597616B - An intelligent monitoring and early warning system for geological disasters in mining areas - Google Patents

Abstract

The invention relates to the technical field of geological disaster monitoring in a mining area, and particularly discloses an intelligent monitoring and early warning system for the geological disaster in the mining area.

Description

An intelligent monitoring and early warning system for geological disasters in mining areas

Technical field

The invention relates to the technical field of geological disaster monitoring in mining areas, and specifically to an intelligent monitoring and early warning system for geological disasters in mining areas.

Background technique

The rapid development of various industries in society has put forward higher requirements for the use of energy. In order to meet the growing demand for energy use, the development of minerals is also increasing, which has triggered a series of mine safety issues. , for the mining team of the mine, how to reasonably and efficiently ensure the safety of the mine development environment while scientifically developing mineral resources has always been the focus of attention. Geological disasters have always been one of the important factors causing mine safety accidents. Obviously , it is particularly important to monitor geological disasters in mining areas.

There are still a series of areas that need to be optimized in the existing mine geological disaster monitoring, which can be embodied as follows: (1) When the existing technology monitors geological disasters in mines, it focuses more on the factors that cause geological disasters in mines. Screening and analysis of natural environmental factors, but lack of accurate monitoring and analysis of geological disasters caused by the mining factors of the mine itself, resulting in the inability to fully and effectively ensure the mining safety of the mine, and the mine staff cannot be refined. The discovery of subtle safety hazards caused by mining will not only cause potential safety risks to the work of mining personnel, but will also affect the mining construction progress of the entire mining area.

(2) The existing technology is relatively scarce. It is impossible to provide a scientific and reasonable basis for evaluation in the early stage to conduct a preliminary assessment of the stability of the mine based on the type of mine, and then to subsequently monitor the safety status of the mine during the mining process. The monitoring results have shortcomings such as low accuracy and insufficient extension, which not only cannot fully guarantee the operational safety of the mining project, but also reduces the timeliness of timely treatment of potential safety hazards in the mine, thereby significantly damaging the mine. security warning response efficiency.

Contents of the invention

In order to overcome the shortcomings in the background technology, embodiments of the present invention provide an intelligent monitoring and early warning system for geological disasters in mining areas, which can effectively solve the problems involved in the above-mentioned background technology.

The object of the present invention can be achieved through the following technical solutions: an intelligent monitoring and early warning system for geological disasters in mining areas, including: a basic parameter acquisition and analysis module, used to obtain the basic parameters of a designated mine, and then preliminarily analyze and calculate the geological stability of the designated mine sexual evaluation coefficient.

The adaptive early warning parameter matching module is used to obtain the adaptive early warning parameters of the specified mine based on the geological stability evaluation coefficient of the specified mine.

The mining area real-life image collection and analysis module is used to collect real-life images of the mining area of the designated mine, and build a 3D model of the mining area of the designated mine, segment it to obtain each mining sub-area of the designated mine, and extract the corresponding information parameters. Then analyze and calculate the geological safety index ω _j corresponding to the information parameters of each mining sub-area of the designated mine.

The mining area physical parameter monitoring and analysis module is used to monitor the physical parameters of each mining sub-area of the designated mine, and then analyze and calculate the geological safety index ξ _j corresponding to the physical parameters of each mining sub-area of the designated mine.

The comprehensive early warning center is used to comprehensively calculate the geological disaster early warning demand index of each mining sub-region of the designated mine based on the geological safety index corresponding to the information parameters and physical parameters of each mining sub-region of the designated mine, and then extract the risky mining sub-regions for geological analysis. Disaster warning management tips.

The data cloud platform is used to store the adaptation early warning parameters belonging to various geological stability assessment coefficient intervals.

As a further design, the basic parameters of the designated mine include mine type, predefined mining area and historical safety hazard parameters. The historical safety hazard parameters include the number of hidden danger points, the distribution location of each hidden danger point and the corresponding radiation affected area.

As a further design, the specific calculation process of the geological stability evaluation coefficient of the designated mine is: based on the mine type of the designated mine, and then matching with the preset safety impact factors corresponding to individual hidden danger points of each type of mine, to obtain the designated mine Corresponding to the safety impact factor δ ₁ of a single hidden danger point, in the same way, the safety impact factor δ ₂ of the unit distribution interval of the corresponding hidden danger point in the specified mine is obtained by matching.

According to the number of hidden danger points M ₀ in the designated mine, calculate the geological stability index corresponding to the number of hidden danger points in the designated mine. Among them, e and χ ₁ respectively represent the preset natural constants and the geological stability impact correction value corresponding to the number of hidden danger points.

According to the distribution position of each hidden danger point in the designated mine and the predefined mining area, the center point of the predefined mining area is extracted as the mining reference point, and then the distance between each hidden danger point in the designated mine and the mining reference point is extracted, and recorded as the specified The distribution interval L _m of each hidden danger point in the mine is obtained, and the average distribution interval of the hidden danger point in the specified mine is obtained through mean processing. Then calculate the geological stability index corresponding to the distribution location of hidden danger points in the specified mine. Among them, m represents the number of each hidden danger point, m=1,2,...,u, _{and χ2} represents the geological stability impact correction value corresponding to the preset distribution interval of hidden danger points.

According to the radiation affected area area S _m corresponding to each hidden danger point of the designated mine, and extract the predefined mining area area S″, and then calculate the geological stability index corresponding to the radiation affected area of the designated mine hidden danger point. Among them, χ ₃ represents the geological stability impact correction factor corresponding to the radiation affected area where the preset hidden danger point belongs.

Comprehensive calculation of the geological stability assessment coefficient of a designated mine Among them/> and/> They are respectively expressed as the set number of hidden danger points, the distribution location of hidden danger points and the proportion of geological stability impact weight corresponding to the radiation affected area of hidden danger points.

As a further design, the matching obtains the adaptation early warning parameters of the designated mine. The specific process is: based on the geological stability evaluation coefficient of the designated mine, and then adapting to the various geological stability evaluation coefficient intervals stored in the data cloud platform. The early warning parameters are matched to obtain the adaptive early warning parameters of the specified mine. The adaptive early warning parameters include the early warning height difference, early warning terrain angle, early warning deep displacement and early warning surface displacement of the mining area, and include various depth intervals corresponding to the mining area. early warning stress value.

As a further design, the analysis calculates the geological safety index corresponding to the information parameters of each mining sub-area of the specified mine. The specific analysis process is: based on the 3D model of the mining area of the specified mine, segment the mining sub-areas of the specified mine. 3D model, and extract the information parameters of each mining sub-area of the specified mine. The information parameters include the highest point of the ore body and the lowest point of the ore body.

Extract the height difference between the highest point of the ore body and the lowest point of the ore body in each mining sub-region of the designated mine, record it as the height difference φ _j of the ore body in each mining sub-region of the designated mine, and extract the early warning height difference of the mining area of the designated mine. Δφ ₀ , according to the formula The ore body mining safety index of each mining sub-area of the designated mine is calculated, where λ ₁ represents the ore body mining safety correction value corresponding to the set ore body height difference, j represents the number of each mining sub-area, j=1 ,2,...,n.

According to the highest point of the ore body and the lowest point of the ore body in each mining sub-area of the designated mine, the corresponding straight lines are connected to obtain the connection between the highest point of the ore body and the lowest point of the ore body in each mining sub-area of the designated mine. , recorded as the topographic reference line of each mining sub-area of the designated mine, and extend it to the set reference horizontal plane, extract the angle between the topographic reference line of each mining sub-area of the designated mine and the reference horizontal plane, recorded as Specify the terrain reference angle of each mining sub-area to which the mine belongs, and then extract and extract the corresponding angle θ _j according to the terrain reference angle of each mining sub-region to which the specified mine belongs, and based on the early warning terrain angle Δθ ₀ of the mining area to which the specified mine belongs, according to the formula The terrain safety index of each mining sub-area of the designated mine is calculated, where λ ₂ represents the ore body mining safety correction index corresponding to the set ore body height difference.

Comprehensive calculation of the geological safety index corresponding to the information parameters of each mining sub-area of the designated mine Among them, a ₁ and a ₂ represent the geological safety impact weight values corresponding to the preset ore body height difference and terrain angle respectively.

As a further design, the physical parameters of each mining sub-area of the designated mine include deep displacement, surface displacement and stress.

As a further design, the analysis calculates the geological safety index corresponding to the physical parameters of each mining sub-area of the designated mine. The specific analysis process is: laying out deep monitoring points and surface monitoring points for each mining sub-area of the designated mine, Obtain the deep monitoring points and surface monitoring points of each mining sub-area of the designated mine, and conduct displacement monitoring of the deep monitoring points and surface monitoring points of each mining sub-region of the designated mine at predefined time intervals to obtain the location of the designated mine. The displacements of the corresponding deep monitoring points and surface monitoring points in each mining sub-area are recorded as WY _{depth j} and WY _{ground j} respectively. Then, based on the early warning deep displacement amount ΔWY _deep and early warning surface displacement amount ΔWY _ground of the designated mining area, the band Enter the formula The safety index corresponding to the ore body displacement in each mining sub-area of the designated mine is calculated, where υ ₁ and υ ₂ represent the geological safety weight proportions corresponding to the deep displacement and surface displacement of the preset mining area of the mine, respectively.

Lay out stress monitoring points in each mining sub-area of the designated mine according to the set depth intervals, obtain and perform stress monitoring on each stress monitoring point corresponding to each mining sub-area of the designated mine, and obtain the corresponding stress monitoring points in each mining sub-area of the designated mine. The stress value N _jd of the stress monitoring point is extracted, and the depth of each stress monitoring point corresponding to each mining sub-area of the designated mine is extracted, and then matched with the early warning stress values of various depth intervals corresponding to the mining area of the designated mine, and each sub-area of the designated mine is obtained. The early warning stress value corresponding to each stress monitoring point in the mining sub-area is recorded as ΔN _jd0 . Calculate the geological safety index corresponding to the ore body stress in each mining sub-area of the designated mine. Among them, Φ″ represents the geological safety correction value corresponding to the preset ore body stress, d represents the number of each stress monitoring point, d=1, 2,..., f, and f represents the number of stress monitoring points.

Calculate the geological safety index corresponding to the physical parameters of each mining sub-area of the designated mine Among them, b ₁ and b ₂ represent the geological safety impact weight factors corresponding to the preset ore body displacement status and ore body stress respectively.

As a further design, the geological disaster early warning demand index ψ _j for each mining sub-region of the designated mine is calculated as follows: Among them, κ ₁ and κ ₂ represent the weight factors affecting the geological disaster early warning demand corresponding to the preset information parameters and physical parameters respectively.

As a further design, the extraction of risky mining sub-areas is used to provide geological hazard early warning management prompts. The specific process is: comparing the geological hazard early warning demand index of each mining sub-area of the designated mine with the set geological hazard early warning demand index threshold. , when the geological disaster early warning demand index of a mining sub-region to which the designated mine belongs is higher than the geological disaster early warning demand index threshold, the mining sub-region to which the designated mine belongs is recorded as a risky mining sub-region, and the number corresponding to the risky mining sub-region is extracted. Geological disaster early warning management tips.

Compared with the existing technology, embodiments of the present invention at least have the following advantages or beneficial effects: (1) The present invention provides an intelligent monitoring and early warning system for geological disasters in mining areas to realize the geological disasters caused by the mining factors of the mine itself. Precise monitoring and analysis at one level has increased attention to the mining factors of the mine itself. By combining it with existing technology to screen and analyze the natural environmental factors that cause geological disasters in mines, the safety monitoring of mines The analysis results are more comprehensive and rich, which can fully and effectively ensure the mining safety of mines, and can accurately discover subtle safety hazards caused by mining, which not only avoids potential safety risks to the work of mining personnel, but also avoids damage to the work of mining personnel. It has a negative impact on the mining construction progress of the entire mining area.

(2) This invention obtains the basic parameters of the designated mine, and then preliminarily analyzes and calculates the geological stability evaluation coefficient of the designated mine, and obtains the adaptive early warning parameters of the designated mine through matching, which effectively makes up for the lack of existing technology in the early stage based on the type of mine. The deficiencies in the initial stability assessment of the mine can provide a scientific and reasonable basis for subsequent monitoring of the safety status of the mine during the mining process, thus improving the accuracy and extensibility of the final mine monitoring results. Not only It can fully guarantee the operational safety of mining projects, and improve the timeliness of timely processing of mine safety hazards, thus greatly improving the efficiency of mine safety warning response.

Description of the drawings

The present invention is further described using the accompanying drawings, but the embodiments in the accompanying drawings do not constitute any limitation to the present invention. For those of ordinary skill in the art, without exerting creative efforts, other embodiments can be obtained based on the following drawings. Picture attached.

Figure 1 is a schematic diagram of the system structure connection of the present invention.

Detailed ways

The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts fall within the scope of protection of the present invention.

Referring to Figure 1, the present invention provides an intelligent monitoring and early warning system for geological disasters in mining areas, including: a basic parameter acquisition and analysis module, an adaptive early warning parameter matching module, a mining area real-view image acquisition and analysis module, and a mining area physical parameter monitoring and analysis module. module, comprehensive early warning center and data cloud platform.

The basic parameter acquisition and analysis module is connected to the adaptive early warning parameter matching module. The adaptive early warning parameter matching module is respectively connected to the data cloud platform, the mining area real-view image acquisition and analysis module and the mining area physical parameter monitoring and analysis module. The comprehensive early warning center It is connected to the mining area real-view image acquisition and analysis module and the mining area physical parameter monitoring and analysis module respectively.

The basic parameter acquisition and analysis module is used to obtain the basic parameters of a designated mine, and then conduct preliminary analysis and calculation of the geological stability evaluation coefficient of the designated mine.

Specifically, the basic parameters of the designated mine include mine type, predefined mining area and historical safety hazard parameters. The historical safety hazard parameters include the number of hidden danger points, the distribution location of each hidden danger point and the corresponding radiation affected area.

It should be noted that the above-mentioned mine types include coal mines, metal mines, non-metallic mines and building materials mines.

Specifically, the specific calculation process of the geological stability evaluation coefficient of the designated mine is as follows: based on the mine type of the designated mine, and then matching with the preset safety impact factors corresponding to individual hidden danger points of each type of mine, to obtain the individual hazard points corresponding to the designated mine. The safety impact factor δ ₁ of the hidden danger point, in the same way, is matched to obtain the safety impact factor δ ₂ of the unit distribution interval of the corresponding hidden danger point in the specified mine.

According to the number of hidden danger points M ₀ in the designated mine, calculate the geological stability index corresponding to the number of hidden danger points in the designated mine. Among them, e and χ ₁ respectively represent the preset natural constants and the geological stability impact correction value corresponding to the number of hidden danger points.

According to the distribution position of each hidden danger point in the designated mine and the predefined mining area, the center point of the predefined mining area is extracted as the mining reference point, and then the distance between each hidden danger point in the designated mine and the mining reference point is extracted, and recorded as the specified The distribution interval L _m of each hidden danger point in the mine is obtained, and the average distribution interval of the hidden danger point in the specified mine is obtained through mean processing. Then calculate the geological stability index corresponding to the distribution location of hidden danger points in the specified mine. Among them, m represents the number of each hidden danger point, m=1,2,...,u, _{and χ2} represents the geological stability impact correction value corresponding to the preset distribution interval of hidden danger points.

According to the radiation affected area area S _m corresponding to each hidden danger point of the designated mine, and extract the predefined mining area area S″, and then calculate the geological stability index corresponding to the radiation affected area of the designated mine hidden danger point. Among them, χ ₃ represents the geological stability impact correction factor corresponding to the radiation affected area where the preset hidden danger point belongs.

Comprehensive calculation of the geological stability assessment coefficient of a designated mine Among them/> and/> They are respectively expressed as the set number of hidden danger points, the distribution location of hidden danger points and the proportion of geological stability impact weight corresponding to the radiation affected area of hidden danger points.

The adaptive early warning parameter matching module is used to obtain the adaptive early warning parameters of the designated mine based on the geological stability evaluation coefficient of the designated mine.

Specifically, the matching obtains the adaptive early warning parameters of the designated mine. The specific process is: based on the geological stability evaluation coefficient of the designated mine, and then matching the adaptive early warning parameters belonging to various geological stability evaluation coefficient intervals stored in the data cloud platform Matching is performed to obtain the adaptive early warning parameters of the specified mine. The adaptive early warning parameters include the early warning height difference, early warning terrain angle, early warning deep displacement and early warning surface displacement of the mining area, and include early warning corresponding to various depth intervals in the mining area. stress value.

In a specific embodiment, the present invention obtains the basic parameters of the designated mine, and then preliminarily analyzes and calculates the geological stability evaluation coefficient of the designated mine, and obtains the adaptive early warning parameters of the designated mine by matching, which effectively makes up for the lack of existing technology in the early stage. The deficiencies in the preliminary assessment of the stability of the mine based on the type of mine can provide a scientific and reasonable basis for subsequent monitoring of the safety status of the mine during the mining process, thereby improving the accuracy and accuracy of the final mine monitoring results. The extensibility can not only fully guarantee the operational safety of mining projects, but also improve the timeliness of timely treatment of potential safety hazards in mines, thus greatly improving the efficiency of mine safety warning response.

The mining area real-scene image collection and analysis module is used to collect real-scene images of the mining area of the designated mine, and construct a 3D model of the mining area of the designated mine, segment it to obtain each mining sub-area of the designated mine, and extract the corresponding information parameters , and then analyze and calculate the geological safety index ω _j corresponding to the information parameters of each mining sub-area of the designated mine.

It should be noted that the above-mentioned real-life image collection of the mining area of the designated mine and the construction of a 3D model of the mining area of the designated mine are as follows: using intelligent inspection drones to monitor the designated mine at set monitoring time points. Real-time image collection of the mining area of the designated mine is performed. Based on the obtained real-life image of the mining area of the designated mine, a 3D model of the mining area of the designated mine is constructed to obtain a 3D model of the mining area of the designated mine.

Specifically, the analysis calculates the geological safety index corresponding to the information parameters of each mining sub-area of the specified mine. The specific analysis process is: based on the 3D model of the mining area of the specified mine, segment the 3D of each mining sub-area of the specified mine. model, and extract the information parameters of each mining sub-area to which the specified mine belongs. The information parameters include the highest point of the ore body and the lowest point of the ore body.

Extract the height difference between the highest point of the ore body and the lowest point of the ore body in each mining sub-region of the designated mine, record it as the height difference φ _j of the ore body in each mining sub-region of the designated mine, and extract the early warning height difference of the mining area of the designated mine. Δφ ₀ , according to the formula The ore body mining safety index of each mining sub-area of the designated mine is calculated, where λ ₁ represents the ore body mining safety correction value corresponding to the set ore body height difference, j represents the number of each mining sub-area, j=1 ,2,...,n.

According to the highest point of the ore body and the lowest point of the ore body in each mining sub-area of the designated mine, the corresponding straight lines are connected to obtain the connection between the highest point of the ore body and the lowest point of the ore body in each mining sub-area of the designated mine. , recorded as the topographic reference line of each mining sub-area of the designated mine, and extend it to the set reference horizontal plane, extract the angle between the topographic reference line of each mining sub-area of the designated mine and the reference horizontal plane, recorded as Specify the terrain reference angle of each mining sub-area to which the mine belongs, and then extract and extract the corresponding angle θ _j according to the terrain reference angle of each mining sub-region to which the specified mine belongs, and based on the early warning terrain angle Δθ ₀ of the mining area to which the specified mine belongs, according to the formula The terrain safety index of each mining sub-area of the designated mine is calculated, where λ ₂ represents the ore body mining safety correction index corresponding to the set ore body height difference.

It should be noted that the reference level set above is: based on the lowest point of the ore body in each mining sub-region of the specified mine, then extract the depth of the lowest point of the ore body in each mining sub-region of the specified mine, and filter to obtain the maximum depth value The lowest point of the ore body in the mining sub-area of the corresponding designated mine is recorded as the reference point for horizontal plane construction, and extends vertically downward at a set interval to obtain the corresponding connection point, and then uses the connection point as a reference to construct the reference horizontal plane.

Comprehensive calculation of the geological safety index corresponding to the information parameters of each mining sub-area of the designated mine Among them, a ₁ and a ₂ represent the geological safety impact weight values corresponding to the preset ore body height difference and terrain angle respectively.

The mining area physical parameter monitoring and analysis module is used to monitor the physical parameters of each mining sub-area of the designated mine, and then analyze and calculate the geological safety index ξ _j corresponding to the physical parameters of each mining sub-area of the designated mine.

Specifically, the physical parameters of each mining sub-area to which the designated mine belongs include deep displacement, surface displacement and stress.

Specifically, the analysis calculates the geological safety index corresponding to the physical parameters of each mining sub-area of the designated mine. The specific analysis process is: carrying out deep monitoring points and surface monitoring points for each mining sub-area of the designated mine, and obtaining the designated The deep monitoring points and surface monitoring points of each mining sub-area of the mine are monitored, and the displacements of the deep monitoring points and surface monitoring points of each mining sub-area of the designated mine are monitored at predefined time intervals to obtain the results of each mining sub-area of the designated mine. The displacements of the sub-regions corresponding to deep monitoring points and surface monitoring points are recorded as WY _{deep j} and WY _{ground j} respectively, and then based on the early warning deep displacement amount ΔWY _deep and early warning surface displacement amount ΔWY _ground of the designated mining area, they are brought into the formula The safety index corresponding to the ore body displacement in each mining sub-area of the designated mine is calculated, where υ ₁ and υ ₂ represent the geological safety weight proportions corresponding to the deep displacement and surface displacement of the preset mining area of the mine, respectively.

Lay out stress monitoring points in each mining sub-area of the designated mine according to the set depth intervals, obtain and perform stress monitoring on each stress monitoring point corresponding to each mining sub-area of the designated mine, and obtain the corresponding stress monitoring points in each mining sub-area of the designated mine. The stress value N _jd of the stress monitoring point is extracted, and the depth of each stress monitoring point corresponding to each mining sub-area of the designated mine is extracted, and then matched with the early warning stress values of various depth intervals corresponding to the mining area of the designated mine, and each sub-area of the designated mine is obtained. The early warning stress value corresponding to each stress monitoring point in the mining sub-area is recorded as ΔN _jd0 . Calculate the geological safety index corresponding to the ore body stress in each mining sub-area of the designated mine. Among them, Φ″ represents the geological safety correction value corresponding to the preset ore body stress, d represents the number of each stress monitoring point, d=1, 2,..., f, and f represents the number of stress monitoring points.

Calculate the geological safety index corresponding to the physical parameters of each mining sub-area of the designated mine Among them, b ₁ and b ₂ represent the geological safety impact weight factors corresponding to the preset ore body displacement status and ore body stress respectively.

It should be noted that the above-mentioned equipment for monitoring the physical parameters of each mining sub-area of the designated mine is a displacement sensor and a stress sensor.

The comprehensive early warning center is used to comprehensively calculate the geological disaster early warning demand index of each mining sub-region of the designated mine based on the geological safety index corresponding to the information parameters and physical parameters of each mining sub-region to which the designated mine belongs, and then extract the risky mining sub-regions for Geological disaster early warning management tips.

Specifically, the geological disaster early warning demand index ψ _j for each mining sub-region of the designated mine is calculated as: Among them, κ ₁ and κ ₂ represent the weight factors affecting the geological disaster early warning demand corresponding to the preset information parameters and physical parameters respectively.

Specifically, the specific process of extracting risky mining sub-regions for geological disaster early warning management prompts is: comparing the geological hazard early warning demand index of each mining sub-region to which the designated mine belongs and the set geological hazard early warning demand index threshold. If the geological disaster early warning demand index of a mining sub-region to which a designated mine belongs is higher than the geological disaster early warning demand index threshold, the mining sub-region to which the designated mine belongs will be recorded as a risky mining sub-region, and the number corresponding to the risky mining sub-region will be extracted for geological disaster analysis. Early warning management tips.

The data cloud platform is used to store adaptation early warning parameters belonging to various geological stability assessment coefficient intervals.

In a specific embodiment, the present invention provides an intelligent monitoring and early warning system for geological disasters in mining areas to achieve accurate monitoring and analysis of geological disasters caused by the mining factors of the mine itself, thereby improving the level of geological disasters caused by the mining itself. The attention paid to factors, combined with the existing technology to screen and analyze the natural environmental factors that cause mine geological disasters, makes the mine safety monitoring and analysis results more comprehensive and rich, and can fully and effectively guarantee Mining safety of mines, and the ability to accurately discover subtle safety hazards caused by mining, not only to avoid potential safety risks to the work of mining personnel, but also to avoid negative impacts on the mining construction progress of the entire mining area.

The above contents are only examples and descriptions of the structure of the present invention. Those skilled in the art may make various modifications or supplements to the described specific embodiments or substitute them in similar ways, as long as they do not deviate from the structure of the invention or Anything beyond the scope defined by the present invention shall belong to the protection scope of the present invention.

Claims (9)

1. An intelligent monitoring and early warning system for geological disasters in mining areas, which is characterized by comprising:

the basic parameter acquisition and analysis module is used for acquiring basic parameters of the appointed mine, and further performing preliminary analysis and calculation on the geological stability evaluation coefficient of the appointed mine;

the adaptation early warning parameter matching module is used for matching and obtaining adaptation early warning parameters of the appointed mine according to the geological stability evaluation coefficient of the appointed mine;

the mining area live-action image acquisition and analysis module is used for acquiring live-action images of mining areas of the specified mine, constructing a 3D model of the mining areas of the specified mine, dividing the 3D model to obtain mining subareas of the specified mine, extracting corresponding information parameters, and further analyzing and calculating geological security index omega corresponding to the information parameters of the mining subareas of the specified mine _j ；

The mining area physical parameter monitoring and analyzing module is used for monitoring physical parameters of each mining subarea of the appointed mine, and further analyzing and calculating a geological security index xi corresponding to the physical parameters of each mining subarea of the appointed mine _j ；

The comprehensive early warning center is used for comprehensively calculating the geological disaster early warning requirement index of each mining subarea of the appointed mine according to the information parameter and the geological security index corresponding to the physical parameter of each mining subarea of the appointed mine, and further extracting the risk mining subarea to carry out geological disaster early warning management prompt;

the data cloud platform is used for storing the adaptation early warning parameters of various geological stability evaluation coefficient intervals.

2. The intelligent monitoring and early warning system for geological disasters in mining areas according to claim 1, wherein the intelligent monitoring and early warning system is characterized in that: the basic parameters of the appointed mine comprise mine types, predefined mining areas and historical potential safety hazard parameters, wherein the historical potential safety hazard parameters comprise the number of potential hazard points, the distribution positions of the potential hazard points and the corresponding radiation influence area.

3. The intelligent monitoring and early warning system for geological disasters in mining areas according to claim 2, wherein the intelligent monitoring and early warning system is characterized in that: the geological stability evaluation coefficient of the specified mine comprises the following specific calculation processes:

according to the mine type of the appointed mine, the safety influence factors corresponding to the single hidden trouble points of the preset various types of mines are matched, and the safety influence factor delta corresponding to the single hidden trouble points of the appointed mine is obtained ₁ Similarly, the safety influence factor delta of the unit distribution interval of the corresponding hidden danger point of the appointed mine is obtained by matching ₂ ；

According to the number M of hidden trouble points of the appointed mine ₀ Calculating geological stability indexes corresponding to the number of hidden danger points of a specified mineWherein e and χ ₁ Respectively representing the geological stability influence correction values corresponding to the number of the preset natural constants and hidden danger points;

according to the distribution position of each hidden danger point of the appointed mine and the predefined mining area, extracting the central point of the predefined mining area as a mining datum point, and further extracting and obtaining the distance mining base of each hidden danger point of the appointed mineThe interval of quasi points is recorded as the distribution interval L of each hidden trouble point of the appointed mine _m And obtaining the average distribution interval of hidden trouble points of the appointed mine through average value processingFurther calculating the geological stability index corresponding to the distribution position of the hidden trouble points of the appointed mineWhere m is the number of each hidden trouble point, m=1, 2,.. ₂ The geological stability influence correction value corresponding to the preset hidden danger point distribution interval is represented;

according to the radiation influence area S corresponding to each hidden trouble point of the appointed mine _m And extracting the area S' of the predefined mining area, and further calculating the geological stability index corresponding to the radiation influence area to which the hidden trouble point of the specified mine belongsWherein χ is ₃ The geological stability influence correction factors are represented as geological stability influence correction factors corresponding to the radiation influence areas to which the preset hidden danger points belong;

comprehensively calculating geological stability evaluation coefficient of specified mineWherein->And->The set number of hidden danger points, the distribution positions of the hidden danger points and the geological stability influence weight occupation ratio corresponding to the radiation influence areas of the hidden danger points are respectively expressed.

4. The intelligent monitoring and early warning system for geological disasters in mining areas according to claim 1, wherein the intelligent monitoring and early warning system is characterized in that: the matching obtains the adaptation early warning parameters of the appointed mine, and the specific process is as follows:

according to the geological stability evaluation coefficient of the appointed mine, matching with the adaptive early warning parameters of various geological stability evaluation coefficient intervals stored in the data cloud platform to obtain the adaptive early warning parameters of the appointed mine, wherein the adaptive early warning parameters comprise early warning height differences, early warning relief angles, early warning deep displacement and early warning earth surface displacement of the exploitation region, and early warning stress values of the exploitation region corresponding to various depth intervals.

5. The intelligent monitoring and early warning system for geological disasters in mining areas according to claim 4 is characterized in that: the analysis and calculation of the geological safety index corresponding to the information parameters of each mining subarea of the appointed mine comprises the following specific analysis processes:

dividing to obtain a 3D model of each mining subarea of the appointed mine according to the 3D model of the mining area of the appointed mine, and extracting information parameters of each mining subarea of the appointed mine from the 3D model, wherein the information parameters comprise the highest point of the ore body and the lowest point of the ore body;

extracting the height difference between the highest point and the lowest point of the ore body of each mining subarea of the appointed mine, and recording the height difference as the ore body height difference phi of each mining subarea of the appointed mine _j And extracting the early warning height difference delta phi of the mining area of the specified mine ₀ According to the formulaCalculating the ore body mining safety index of each mining subarea of the appointed mine, wherein lambda ₁ The mining safety correction value corresponding to the set mining height difference is represented by j, wherein j is represented by the number of each mining subarea, j=1, 2, & gt, n;

according to the highest point and lowest point of ore bodies in each mining subarea of the appointed mine, corresponding straight line connection is carried out to obtain a connecting line between the highest point and the lowest point of the ore bodies in each mining subarea of the appointed mine, and the connecting line is recorded as the appointedThe method comprises the steps of extracting the included angle between the reference line of the ground pattern of each mining subarea belonging to the appointed mine and the reference horizontal plane, recording the included angle as the reference angle of the ground pattern of each mining subarea belonging to the appointed mine, and further extracting and corresponding the angle theta according to the reference angle of the ground pattern of each mining subarea belonging to the appointed mine _j And based on the early warning relief angle delta theta of the exploitation area of the appointed mine ₀ According to the formulaCalculating to obtain the relief safety index of each mining subarea of the appointed mine, wherein lambda ₂ The ore body exploitation safety correction index is expressed as an ore body exploitation safety correction index corresponding to the set ore body height difference;

comprehensively calculating geological safety indexes corresponding to information parameters of mining subareas of specified mineWherein a is ₁ And a ₂ Respectively representing the geological safety influence weight values corresponding to the preset ore body height difference and the relief angle.

6. The intelligent monitoring and early warning system for geological disasters in mining areas according to claim 1, wherein the intelligent monitoring and early warning system is characterized in that: the physical parameters of each mining subarea of the appointed mine comprise deep displacement, earth surface displacement and stress.

7. The intelligent monitoring and early warning system for geological disasters in mining areas according to claim 4 is characterized in that: the analysis and calculation of the geological safety index corresponding to the physical parameters of each mining subarea of the appointed mine comprises the following specific analysis processes:

respectively arranging deep monitoring points and ground monitoring points of each mining subarea of the appointed mine to obtain the deep monitoring points and the ground monitoring points of each mining subarea of the appointed mine, and carrying out the operation on the appointed mine at a predefined time intervalThe mining subareas are respectively subjected to displacement monitoring of deep monitoring points and ground surface monitoring points to obtain displacement of the deep monitoring points and the ground surface monitoring points corresponding to the mining subareas of the appointed mine, and the displacement is respectively recorded as WY _{Deep j} And WY _{Ground j} Further, the early warning deep displacement delta WY of the mining area of the appointed mine is used _{Deep depth} And early warning of the earth displacement delta WY _{Ground (floor)} Carry-over formulaCalculating to obtain a safety index corresponding to the ore body displacement condition of each mining subarea of the appointed mine, wherein v ₁ And v ₂ Respectively representing the geological safety weight ratio corresponding to the deep displacement and the earth surface displacement of a mining area of a preset mine;

arranging stress monitoring points on each mining subarea of the appointed mine according to the set depth interval to obtain and monitor stress of each stress monitoring point corresponding to each mining subarea of the appointed mine, and obtaining a stress value N of each stress monitoring point corresponding to each mining subarea of the appointed mine _jd The depth of each mining subarea corresponding to each stress monitoring point of the specified mine is extracted, and then the depth is matched with the early warning stress values of the mining subareas corresponding to various depth intervals of the specified mine, so that the early warning stress value of each mining subarea corresponding to each stress monitoring point of the specified mine is obtained and recorded as delta N _jd0 Calculating geological safety indexes corresponding to ore body stress of each mining subarea of specified mineWherein Φ "represents a geological safety correction value corresponding to preset ore body stress, d represents the number of each stress monitoring point, d=1, 2.

Calculating the geological safety index corresponding to the physical parameters of each mining subarea of the appointed mineWherein the method comprises the steps ofb ₁ And b ₂ Respectively representing the geological safety influence weight factors corresponding to the preset ore body displacement conditions and the ore body stress.

8. The intelligent monitoring and early warning system for geological disasters in mining areas according to claim 1, wherein the intelligent monitoring and early warning system is characterized in that: geological disaster early warning requirement index psi of each mining subarea of specified mine _j The specific calculation formula is as follows:wherein kappa is ₁ And kappa (kappa) ₂ The geological disaster early warning requirement influence weight factors are respectively represented as the geological disaster early warning requirement influence weight factors corresponding to the preset information parameters and the physical parameters.

9. The intelligent monitoring and early warning system for geological disasters in mining areas according to claim 1, wherein the intelligent monitoring and early warning system is characterized in that: the risk exploitation subarea is extracted to carry out geological disaster early warning management prompt, and the concrete process is as follows: comparing the geological disaster early warning requirement index of each mining subarea of the appointed mine with a set geological disaster early warning requirement index threshold, and when the geological disaster early warning requirement index of a certain mining subarea of the appointed mine is higher than the geological disaster early warning requirement index threshold, marking the mining subarea of the appointed mine as a risk mining subarea, and extracting the number corresponding to the risk mining subarea to carry out geological disaster early warning management prompt.