Coal mine landslide monitoring and early warning system based on multivariate data fusion analysis

Abstract

The invention relates to the field of coal mine landslide monitoring, in particular to a coal mine landslide monitoring and early warning system based on multivariate data fusion analysis, and aims to solve the problems that mine landslide interference factors are many, landslide formation is fast, and sufficient early warning advance is difficult to have through displacement monitoring. According to the method, the rainfall is analyzed in two dimensions of space and time, analysis is carried out in combination with factors of the mountain, comprehensive analysis is carried out on the landslide risk in a weight assignment mode, and the landslide probability of the mountain under the natural condition and rock-soil vibration caused by mining area operation are comprehensively analyzed; therefore, the probability of landslide of the mountain under the interference of rock-soil vibration is analyzed, the susceptibility degree of the landslide is predicted according to the probability of landslide of the mountain, the work of the mining area is guided according to the susceptibility degree prediction, and operators or engineering equipment is prevented from being located at the position where the landslide is likely to occur.

Description

Technical Field

[0001] The present invention relates to the field of coal mine landslide monitoring, and in particular to a coal mine landslide monitoring and early warning system based on multivariate data fusion analysis. Background Art

[0002] Landslides are a major geological disaster characterized by widespread and frequent occurrence, causing enormous direct and indirect economic losses. With the continuous expansion of human activities, especially the scope and scale of human engineering activities, the frequency and likelihood of landslides are increasing, and the harm they bring to society is also gradually increasing. Research on landslide prediction and forecasting has always been a theoretical and technical problem that has attracted great attention from experts and scholars in various disciplines such as engineering geology and rock mechanics at home and abroad. The starting point of these research works is to predict and forecast landslides in order to avoid the various losses caused by landslides.

[0003] At present, the existing landslide monitoring system still has shortcomings. Most landslide monitoring systems generate landslide warnings by collecting mountain displacement and analyzing the collected results. However, in coal mining work areas, due to the large rock and soil vibration interference caused by various tunneling and mining equipment and blasting operations in coal mining operations, landslides in mining areas occur faster and are difficult to predict. Therefore, it is difficult to achieve sufficient advance prediction of landslides through displacement monitoring. At the same time, since most of the mining area’s residential areas are located on flat land, landslide prediction in mining areas is more effective in arranging construction distribution to prevent construction personnel and engineering equipment from being harmed by landslides.

[0004] In response to the above technical problems, this application proposes a solution. Summary of the Invention

[0005] In the present invention, by collecting and analyzing rainfall at multiple points and analyzing continuous rainfall, the analysis of rainfall in two dimensions of space and time is realized, and the possible impact of rainfall on landslides is comprehensively considered in combination with the mountain height. By analyzing the mountain's own factors and combining them with the impact of rainfall, the landslide risk is comprehensively analyzed by weight assignment. By comprehensively analyzing the probability of landslides occurring in the mountain under natural conditions and the rock and soil vibration caused by mining operations, the probability of landslides occurring in the mountain under the interference of rock and soil vibration is analyzed, and the susceptibility of landslides is predicted based on the probability of landslides occurring in the mountain. The work in the mining area is guided according to the susceptibility prediction to avoid workers or engineering equipment being in positions prone to landslides. The problem that there are many interference factors for landslides in mining areas and landslides form quickly, and it is difficult to have sufficient early warning lead time through displacement monitoring, is solved. A coal mine landslide monitoring and early warning system based on multivariate data fusion analysis is proposed.

[0006] The purpose of the present invention can be achieved through the following technical solutions:

[0007] A coal mine landslide monitoring and early warning system based on multivariate data fusion analysis includes a natural environment monitoring unit, a mountain environment monitoring unit, a monitoring and analysis unit, a comprehensive analysis unit, a vibration operation monitoring unit, and an early warning reminder unit. The natural environment monitoring unit can monitor the environmental information of the monitored mountain location, record the monitored environmental information as environmental interference factors, and send the environmental interference factors to the monitoring and analysis unit;

[0008] The mountain environment monitoring unit obtains mountain information of the monitored mountain, and records the mountain information as ontological factors and sends it to the monitoring and analysis unit;

[0009] The monitoring and analysis unit obtains environmental interference factors and ontological factors, analyzes the environmental interference factors and ontological factors, generates natural landslide analysis results based on the analysis results, and sends the natural landslide analysis results to the comprehensive analysis unit;

[0010] The vibration operation monitoring unit can obtain coal mine operation information, and obtain expected rock and soil vibration information based on the coal mine operation information, and send the expected rock and soil vibration information to the comprehensive analysis unit;

[0011] The comprehensive analysis unit obtains the natural landslide analysis results and the expected rock and soil vibration information, performs interference analysis on the natural landslide analysis results using the expected rock and soil vibration information, and determines whether the mountain has a risk of landslide under the expected rock and soil vibration information based on the interference analysis results, generates a landslide risk judgment signal, and sends the landslide risk judgment signal to the early warning reminder unit;

[0012] The early warning reminder unit generates corresponding alarm reminders according to the received landslide risk judgment signal and natural landslide analysis results.

[0013] As a preferred embodiment of the present invention, the environmental interference factors obtained by the natural environment monitoring unit include environmental rainfall and the degree of water flow impact. When obtaining environmental rainfall, the natural environment monitoring unit obtains real-time rainfall through collection points located at multiple points in the monitored mountain, and feeds the actual rainfall back to the natural environment monitoring unit. The natural environment monitoring unit obtains the rainfall at each collection point, averages the rainfall at each collection point, and uses the rainfall obtained by the average calculation as the environmental rainfall in the area. The natural environment monitoring unit monitors the environmental rainfall data once every hour and sends the rainfall data for each hour to the monitoring and analysis unit.

[0014] The natural environment monitoring unit obtains the top and foot heights of the monitored mountain, and records the edge distance from the foot height to the top height as the water flow drop height. The natural environment monitoring unit obtains the water flow impact degree based on the interference product of rainfall and water flow drop height.

[0015] As a preferred embodiment of the present invention, the step of obtaining the water flow impact degree by the natural environment monitoring unit is:

[0016] S1: Create a plane, select a starting point on the plane, and draw two outward straight lines from the starting point, with the angle between the two straight lines being the preset coefficient value;

[0017] S2: Set the length of one of the straight lines to be equal to the numerical value of the rainfall, and set the length of the other straight line to be equal to the length of the height of the water flow;

[0018] S3: Connect the end points of the two straight lines to form a triangle, calculate the area of the triangle, and use the area of the triangle as the impact degree of the water flow.

[0019] As a preferred embodiment of the present invention, the ontological factors acquired by the mountain environment monitoring unit include mountain rock and soil type, mountain slope, and mountain vegetation coverage. After acquiring the mountain rock and soil type, the mountain environment monitoring unit assigns the mountain rock and soil type to loose soil, medium soil, and firm soil, and the assignment method is manual input;

[0020] The mountain environment monitoring unit obtains the mountain slope by manual input;

[0021] The mountain environment monitoring unit obtains the mountain image through remote sensing mapping, marks the locations where vegetation exists in the mountain image, obtains the total area of the mountain image and the vegetation crown area through software, and calculates the mountain vegetation coverage rate by the ratio of the total area to the vegetation crown area.

[0022] As a preferred embodiment of the present invention, the monitoring and analysis unit obtains environmental rainfall from the environmental interference factor, and selects the environmental rainfall for 24 consecutive hours for arithmetic averaging, which is recorded as the continuous rainfall mean. When the continuous rainfall mean is less than a preset continuous rainfall threshold, a rainfall low-risk signal is generated; when the continuous rainfall mean is greater than or equal to the preset continuous rainfall threshold, a rainfall high-risk signal is generated.

[0023] The monitoring and analysis unit compares the water flow impact degree with a preset water flow impact degree threshold. If the water flow impact degree is greater than the preset water flow impact degree threshold, a water flow high-risk signal is generated; if the water flow impact degree is less than or equal to the water flow impact degree threshold, a water flow low-risk signal is generated.

[0024] The monitoring and analysis unit performs a weighted quantitative analysis on the mountain rock and soil type, mountain slope and mountain vegetation coverage in the mountain environment monitoring unit, assigns a weight A to the mountain rock and soil type, records the mountain rock and soil type as X, when the mountain rock and soil type is loose soil, X=2, when the mountain rock and soil type is medium soil, X=1, when the mountain rock and soil type is solid soil, X=0.5, assigns a weight B to the mountain slope, and records the mountain slope as Y, assigns a weight C to the mountain vegetation coverage, and records the mountain vegetation coverage as Z, and calculates the landslide susceptibility M through the formula, M=AX+BY+CZ;

[0025] If the landslide susceptibility M is greater than or equal to the preset landslide susceptibility M, a high-risk mountain signal is generated; if the landslide susceptibility M is less than the preset landslide susceptibility M, a low-risk mountain signal is generated.

[0026] As a preferred embodiment of the present invention, the monitoring and analysis unit records the rainfall low-risk signal, the mountain low-risk signal, and the water flow low-risk signal as a low-risk signal, and records the mountain high-risk signal, the rainfall high-risk signal, and the water flow high-risk signal as a high-risk signal;

[0027] If the monitoring and analysis unit generates three sets of high-risk signals simultaneously, a landslide high-risk signal is generated;

[0028] When the monitoring and analysis unit generates one or two sets of high-risk signals simultaneously, a low-risk landslide signal is generated;

[0029] When the monitoring and analysis unit generates three sets of low-risk signals simultaneously, a landslide safety signal is generated.

[0030] As a preferred embodiment of the present invention, the vibration operation monitoring unit collects vibration information of historical coal mine operation types and operation levels to establish an information database, which records the rock and soil vibration information caused by different coal mine operation types and each operation level, and estimates the expected rock and soil vibration information caused by coal mine operations based on the information database.

[0031] As a preferred embodiment of the present invention, after the comprehensive analysis unit obtains the expected rock and soil vibration information, it performs a threshold analysis on the expected rock and soil vibration information. If the rock and soil vibration information is less than a first threshold, a non-interference signal is generated; if the rock and soil vibration information is greater than the first threshold and less than a second threshold, a low-interference signal is generated; if the rock and soil vibration information is greater than the second threshold, a high-interference signal is generated.

[0032] When the comprehensive analysis unit generates a non-interference signal, the landslide risk judgment signal is equal to the natural landslide analysis result;

[0033] When the comprehensive analysis unit generates a low-interference signal, the landslide risk judgment signal is equal to the natural landslide analysis result with a high-risk signal added;

[0034] When the comprehensive analysis unit generates a high interference signal, the landslide risk judgment signal is equal to adding two high-risk signals to the natural landslide analysis result.

[0035] Compared with the prior art, the present invention has the following beneficial effects:

[0036] 1. In the present invention, by comprehensively analyzing the probability of landslides occurring in the mountain under natural conditions and the rock and soil vibrations caused by mining operations, the probability of landslides occurring in the mountain under the interference of rock and soil vibrations is analyzed, and the susceptibility of landslides is predicted based on the probability of landslides occurring in the mountain. The mining operations are guided based on the predicted susceptibility, so as to avoid workers or engineering equipment being in positions prone to landslides, thereby avoiding property losses and personal injuries in the project.

[0037] 2. In the present invention, when analyzing the probability of landslides in a natural environment, since rainfall is one of the most important factors causing landslides, by collecting and analyzing rainfall at multiple points and analyzing continuous rainfall, the analysis of rainfall in both spatial and temporal dimensions is achieved, and the possible impact of rainfall on landslides is comprehensively considered in combination with the mountain height, thereby ensuring the accuracy of landslide hazard prediction.

[0038] 3. In the present invention, by analyzing the factors of the mountain itself and combining them with the influence of rainfall, a comprehensive analysis of the landslide risk is carried out by weight assignment. This can not only ensure the accuracy of the landslide analysis in the natural state, but also provide accurate pre-parameters for the subsequent landslide analysis under the interference conditions of coal mine operations, thereby ensuring the effectiveness of landslide warning. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] To facilitate understanding by those skilled in the art, the present invention is further described below with reference to the accompanying drawings.

[0040] Figure 1 This is a system block diagram of the present invention. DETAILED DESCRIPTION

[0041] The technical solutions of the present invention will be clearly and completely described below with reference to the embodiments. Obviously, the embodiments described are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making any creative efforts shall fall within the scope of protection of the present invention.

[0042] Example 1:

[0043] See also Figure 1As shown, a coal mine landslide monitoring and early warning system based on multivariate data fusion analysis includes a natural environment monitoring unit, a mountain environment monitoring unit, a monitoring and analysis unit, a comprehensive analysis unit, a vibration operation monitoring unit and an early warning reminder unit. The natural environment monitoring unit can monitor the environmental information of the location of the monitored mountain and record the monitored environmental information as an environmental interference factor. The environmental interference factors obtained by the natural environment monitoring unit include environmental rainfall and the degree of water flow impact. When obtaining environmental rainfall, the natural environment monitoring unit obtains real-time rainfall through collection points located at multiple points in the monitored mountain, and feeds the real-time rainfall back to the natural environment monitoring unit. The natural environment monitoring unit obtains the rainfall at each collection point, averages the rainfall at each collection point, and uses the rainfall obtained by the average calculation as the environmental rainfall in the area. The natural environment monitoring unit monitors the environmental rainfall data once every hour and sends the rainfall data for each hour to the monitoring and analysis unit.

[0044] The natural environment monitoring unit obtains the height of the top and foot of the monitored mountain, and records the edge distance from the foot to the top as the water flow drop height. The natural environment monitoring unit obtains the water flow impact degree based on the interference product of rainfall and water flow drop height. The steps for the natural environment monitoring unit to obtain the water flow impact degree are as follows:

[0045] S1: Create a plane, select a starting point on the plane, and draw two outward straight lines from the starting point, with the angle between the two straight lines being the preset coefficient value;

[0046] S2: Set the length of one of the straight lines to be equal to the numerical value of the rainfall, and set the length of the other straight line to be equal to the length of the height of the water flow;

[0047] S3: Connect the end points of the two straight lines to form a triangle, calculate the area of the triangle, and use the area of the triangle as the water flow impact degree. The natural environment monitoring unit sends the water flow impact degree to the monitoring and analysis unit.

[0048] The mountain environment monitoring unit obtains mountain information of the monitored mountain. The ontological factors obtained by the mountain environment monitoring unit include mountain rock and soil type, mountain slope, and mountain vegetation coverage. After obtaining the mountain rock and soil type, the mountain environment monitoring unit classifies the mountain rock and soil type into loose soil, medium soil, and firm soil. The classification method is manual input;

[0049] The mountain environment monitoring unit obtains the mountain slope by manual input;

[0050] The mountain environment monitoring unit obtains the mountain image through remote sensing mapping, marks the locations where vegetation exists in the mountain image, obtains the total area of the mountain image and the vegetation crown area through software, and calculates the mountain vegetation coverage by the ratio of the total area and the vegetation crown area. The mountain environment monitoring unit records the mountain information as the main body factor and sends it to the monitoring and analysis unit.

[0051] The monitoring and analysis unit obtains environmental interference factors and ontological factors, and analyzes the environmental interference factors and ontological factors. The monitoring and analysis unit obtains environmental rainfall from the environmental interference factors, and selects the environmental rainfall for 24 consecutive hours for arithmetic averaging, which is recorded as the continuous rainfall mean. When the continuous rainfall mean is less than a preset continuous rainfall threshold, a rainfall low-risk signal is generated. When the continuous rainfall mean is greater than or equal to the preset continuous rainfall threshold, a rainfall high-risk signal is generated.

[0052] The monitoring and analysis unit compares the water flow impact degree with a preset water flow impact degree threshold. If the water flow impact degree is greater than the preset water flow impact degree threshold, a water flow high-risk signal is generated; if the water flow impact degree is less than or equal to the water flow impact degree threshold, a water flow low-risk signal is generated.

[0053] The monitoring and analysis unit conducts a weighted quantitative analysis on the mountain rock and soil types, mountain slopes, and mountain vegetation coverage in the mountain environment monitoring unit. It assigns a weight A to the mountain rock and soil types and records the mountain rock and soil types as X. When the mountain rock and soil types are loose soil, X=2; when the mountain rock and soil types are medium soil, X=1; when the mountain rock and soil types are solid soil, X=0.5. It assigns a weight B to the mountain slope and records the mountain slope as Y. It assigns a weight C to the mountain vegetation coverage and records the mountain vegetation coverage as Z. It then calculates the landslide susceptibility M using the formula: M=AX+BY+CZ.

[0054] If the landslide susceptibility M is greater than or equal to the preset landslide susceptibility M, a high-risk mountain signal is generated; if the landslide susceptibility M is less than the preset landslide susceptibility M, a low-risk mountain signal is generated.

[0055] The monitoring and analysis unit records low-risk rainfall signals, low-risk mountain signals, and low-risk water flow signals as low-risk signals, and records high-risk mountain signals, high-risk rainfall signals, and high-risk water flow signals as high-risk signals;

[0056] If the monitoring and analysis unit generates three sets of high-risk signals simultaneously, a landslide high-risk signal is generated;

[0057] When the monitoring and analysis unit generates one or two sets of high-risk signals simultaneously, a low-risk landslide signal is generated;

[0058] When the monitoring and analysis unit generates three sets of low-risk signals at the same time, a landslide safety signal is generated, among which the landslide high-risk signal, the landslide low-risk signal and the landslide safety signal are the natural landslide analysis results, and the monitoring and analysis unit sends the natural landslide analysis results to the comprehensive analysis unit.

[0059] Example 2:

[0060] See also Figure 1 As shown, the vibration operation monitoring unit collects vibration information of historical coal mine operation types and operation levels, establishes an information database, which records the rock and soil vibration information caused by different coal mine operation types and each operation level, and estimates the expected rock and soil vibration information caused by coal mine operations based on the information database, obtains the expected rock and soil vibration information based on the coal mine operation information, and sends the expected rock and soil vibration information to the comprehensive analysis unit;

[0061] The comprehensive analysis unit obtains the natural landslide analysis results and the expected rock and soil vibration information. After obtaining the expected rock and soil vibration information, the comprehensive analysis unit performs a threshold analysis on the expected rock and soil vibration information. If the rock and soil vibration information is less than a first threshold, a non-interference signal is generated. If the rock and soil vibration information is greater than the first threshold and less than a second threshold, a low-interference signal is generated. If the rock and soil vibration information is greater than the second threshold, a high-interference signal is generated.

[0062] When the comprehensive analysis unit generates a non-interference signal, the landslide risk judgment signal is equal to the natural landslide analysis result;

[0063] When the comprehensive analysis unit generates a low-interference signal, the landslide risk judgment signal is equal to adding a high-risk signal to the natural landslide analysis result;

[0064] When the comprehensive analysis unit generates a high interference signal, the landslide risk judgment signal is equal to the natural landslide analysis result plus two high-risk signals, and the comprehensive analysis unit sends the landslide risk judgment signal to the early warning unit;

[0065] The early warning reminder unit generates corresponding alarm reminders based on the received landslide risk judgment signals and natural landslide analysis results, thereby reminding the staff in the mining area and playing an auxiliary role in project safety.

[0066] In the present invention, by collecting and analyzing rainfall at multiple points and analyzing continuous rainfall, the analysis of rainfall in two dimensions of space and time is realized, and the impact of rainfall on landslides is comprehensively considered in combination with the mountain height to ensure the accuracy of landslide hazard prediction. By analyzing the mountain's own factors and combining them with the impact of rainfall, the landslide risk is comprehensively analyzed by weight assignment to ensure the accuracy of landslide analysis in natural states. By comprehensively analyzing the probability of landslides occurring in the mountain under natural conditions and the rock and soil vibrations caused by mining operations, the probability of landslides occurring in the mountain under the interference of rock and soil vibrations is analyzed, and the susceptibility of landslides is predicted based on the probability of landslides occurring in the mountain. The mining work is guided based on the susceptibility prediction to avoid workers or engineering equipment being in positions prone to landslides.

[0067] The preferred embodiments of the present invention disclosed above are intended only to help illustrate the present invention. These preferred embodiments do not exhaustively describe all details, nor do they limit the present invention to specific embodiments. Obviously, many modifications and variations are possible based on the contents of this specification. These embodiments are selected and described in detail in this specification to better explain the principles and practical applications of the present invention, thereby enabling those skilled in the art to better understand and utilize the present invention. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. A coal mine landslide monitoring and early warning system based on multivariate data fusion analysis, characterized in that: It includes a natural environment monitoring unit, a mountain environment monitoring unit, a monitoring and analysis unit, a comprehensive analysis unit, a vibration operation monitoring unit and an early warning reminder unit. The natural environment monitoring unit can monitor the environmental information of the location of the monitored mountain, record the monitored environmental information as environmental interference factors, and send the environmental interference factors to the monitoring and analysis unit; The mountain environment monitoring unit obtains mountain information of the monitored mountain, and records the mountain information as ontological factors and sends it to the monitoring and analysis unit; The monitoring and analysis unit obtains environmental interference factors and ontological factors, analyzes the environmental interference factors and ontological factors, generates natural landslide analysis results based on the analysis results, and sends the natural landslide analysis results to the comprehensive analysis unit; The vibration operation monitoring unit can obtain coal mine operation information, and obtain expected rock and soil vibration information based on the coal mine operation information, and send the expected rock and soil vibration information to the comprehensive analysis unit; The comprehensive analysis unit obtains the natural landslide analysis results and the expected rock and soil vibration information, performs interference analysis on the natural landslide analysis results using the expected rock and soil vibration information, and determines whether the mountain has a risk of landslide under the expected rock and soil vibration information based on the interference analysis results, generates a landslide risk judgment signal, and sends the landslide risk judgment signal to the early warning reminder unit; The early warning reminder unit generates corresponding alarm reminders according to the received landslide risk judgment signal and natural landslide analysis results.

2. A coal mine landslide monitoring and early warning system based on multivariate data fusion analysis according to claim 1, characterized in that: The environmental interference factors obtained by the natural environment monitoring unit include environmental rainfall and the degree of water flow impact. When obtaining environmental rainfall, the natural environment monitoring unit obtains real-time rainfall through collection points located at multiple points in the monitored mountain, and feeds the real-time rainfall back to the natural environment monitoring unit. The natural environment monitoring unit obtains the rainfall at each collection point, averages the rainfall at each collection point, and uses the rainfall obtained by the average calculation as the environmental rainfall in the area. The natural environment monitoring unit monitors the environmental rainfall data once every hour and sends the rainfall data for each hour to the monitoring and analysis unit; The natural environment monitoring unit obtains the top and foot heights of the monitored mountain, and records the edge distance from the foot height to the top height as the water flow drop height. The natural environment monitoring unit obtains the water flow impact degree based on the interference product of rainfall and water flow drop height.

3. A coal mine landslide monitoring and early warning system based on multivariate data fusion analysis according to claim 2, characterized in that: The steps of obtaining the water flow impact degree by the natural environment monitoring unit are as follows: S1: Create a plane, select a starting point on the plane, and draw two outward straight lines from the starting point, with the angle between the two straight lines being the preset coefficient value; S2: Set the length of one of the straight lines to be equal to the numerical value of the rainfall, and set the length of the other straight line to be equal to the length of the height of the water flow; S3: Connect the end points of the two straight lines to form a triangle, calculate the area of the triangle, and use the area of the triangle as the impact degree of the water flow.

4. The coal mine landslide monitoring and early warning system based on multivariate data fusion analysis according to claim 1 is characterized in that: The ontological factors acquired by the mountain environment monitoring unit include mountain rock and soil type, mountain slope and mountain vegetation coverage. After acquiring the mountain rock and soil type, the mountain environment monitoring unit assigns the mountain rock and soil type to loose soil, medium soil and firm soil, and the assignment method is manual input; The mountain environment monitoring unit obtains the mountain slope by manual input; The mountain environment monitoring unit obtains the mountain image through remote sensing mapping, marks the locations where vegetation exists in the mountain image, obtains the total area of the mountain image and the vegetation crown area through software, and calculates the mountain vegetation coverage rate by the ratio of the total area to the vegetation crown area.

5. The coal mine landslide monitoring and early warning system based on multivariate data fusion analysis according to claim 4 is characterized in that: The monitoring and analysis unit obtains environmental rainfall from environmental interference factors, and selects the environmental rainfall for 24 consecutive hours for arithmetic averaging, which is recorded as the continuous rainfall mean. When the continuous rainfall mean is less than a preset continuous rainfall threshold, a rainfall low-risk signal is generated; when the continuous rainfall mean is greater than or equal to the preset continuous rainfall threshold, a rainfall high-risk signal is generated. The monitoring and analysis unit compares the water flow impact degree with a preset water flow impact degree threshold. If the water flow impact degree is greater than the preset water flow impact degree threshold, a water flow high-risk signal is generated; if the water flow impact degree is less than or equal to the water flow impact degree threshold, a water flow low-risk signal is generated. The monitoring and analysis unit performs a weighted quantitative analysis on the mountain rock and soil type, mountain slope and mountain vegetation coverage in the mountain environment monitoring unit, assigns a weight A to the mountain rock and soil type, records the mountain rock and soil type as X, when the mountain rock and soil type is loose soil, X=2, when the mountain rock and soil type is medium soil, X=1, when the mountain rock and soil type is solid soil, X=0.5; assigns a weight B to the mountain slope, and records the mountain slope as Y; assigns a weight C to the mountain vegetation coverage, and records the mountain vegetation coverage as Z, and calculates the landslide susceptibility M through the formula, M=AX+BY+CZ; If the landslide susceptibility M is greater than or equal to the preset landslide susceptibility M, a high-risk mountain signal is generated; if the landslide susceptibility M is less than the preset landslide susceptibility M, a low-risk mountain signal is generated.

6. A coal mine landslide monitoring and early warning system based on multivariate data fusion analysis according to claim 5, characterized in that: The monitoring and analysis unit records the rainfall low-risk signal, the mountain low-risk signal, and the water flow low-risk signal as a low-risk signal, and records the mountain high-risk signal, the rainfall high-risk signal, and the water flow high-risk signal as a high-risk signal; If the monitoring and analysis unit generates three sets of high-risk signals simultaneously, a landslide high-risk signal is generated; When the monitoring and analysis unit generates one or two sets of high-risk signals simultaneously, a low-risk landslide signal is generated; When the monitoring and analysis unit generates three sets of low-risk signals simultaneously, a landslide safety signal is generated.

7. The coal mine landslide monitoring and early warning system based on multivariate data fusion analysis according to claim 1 is characterized in that: The vibration operation monitoring unit collects vibration information of historical coal mine operation types and operation levels to establish an information database, which records the rock and soil vibration information caused by different coal mine operation types and each operation level, and estimates the expected rock and soil vibration information caused by coal mine operations based on the information database.

8. The coal mine landslide monitoring and early warning system based on multivariate data fusion analysis according to claim 7 is characterized in that: After the comprehensive analysis unit obtains the expected rock and soil vibration information, it performs a threshold analysis on the expected rock and soil vibration information. If the rock and soil vibration information is less than a first threshold, a non-interference signal is generated; if the rock and soil vibration information is greater than the first threshold and less than a second threshold, a low-interference signal is generated; if the rock and soil vibration information is greater than the second threshold, a high-interference signal is generated; When the comprehensive analysis unit generates a non-interference signal, the landslide risk judgment signal is equal to the natural landslide analysis result; When the comprehensive analysis unit generates a low-interference signal, the landslide risk judgment signal is equal to the natural landslide analysis result with a high-risk signal added; When the comprehensive analysis unit generates a high interference signal, the landslide risk judgment signal is equal to adding two high-risk signals to the natural landslide analysis result.

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