A mine landslide prediction and processing system and method

Abstract

The invention discloses a mine landslide prediction and processing system and method, comprising obtaining a three-dimensional mine model, monitoring the mine slope deformation by zoning, establishing a mapping relationship between the position adjustment parameters of a radar monitoring component and a monitoring point, regulating the radar monitoring component to cyclically monitor the slope deformation change of each monitoring point, performing fixed-point cyclic monitoring on each monitoring area, monitoring the geological characteristic indexes of monitoring points at different heights in each monitoring area, obtaining a two-dimensional top-down azimuth map of the mine based on the three-dimensional mine model, determining the azimuth coordinates of each monitoring point; determining the azimuth influence coefficients between the azimuth coordinates of the monitoring point and the progressive change amount of the geological characteristic index, and the azimuth influence coefficients between the azimuth coordinates of the monitoring point and the progressive change amount of the slope deformation, and constructing a landslide prediction model considering the exposure orientation; the invention improves the accuracy of landslide prediction, so as to facilitate the orderly arrangement and processing of mine slopes in different orientations.

Description

Technical Field

[0001] The invention relates to the technical field of landslide prediction, and in particular to a mine landslide prediction processing system and method. Background Art

[0002] The existing monitoring projects of mining engineering monitoring work include video monitoring, manual inspection, surface deformation, surface cracks, surface uplift, groundwater level, groundwater volume, groundwater pressure, slope seepage monitoring, etc., and then the data of the above monitoring projects are integrated to form a landslide prediction model. However, the existing landslide prediction model only considers the geological parameters on the slope surface, and does not consider the impact of different azimuth coordinates of the mine on the landslide.

[0003] As we all know, weathering can change the physical properties and chemical composition of rocks. For example, solar radiation, water erosion and wind erosion can also cause rocks to change, affecting the stability of slope rocks. One of the main reasons for landslides is the change in rock stability on the slope of mines. Since mines are generally large in area and exposed for a long time, the weathering effects received at different locations of mines are naturally different.

[0004] Therefore, based on the different weathering effects on different locations of mines, weathering will have a specific impact on parameters such as surface deformation, surface cracks, surface uplift, groundwater level, groundwater volume, groundwater pressure, and slope seepage monitoring, thereby affecting the landslide process. However, the existing landslide prediction process has not yet taken into account the impact of the orientation of the mine slope on its landslide.

[0005] In addition, in order to monitor the geological parameters of mining projects, radar slope monitors are usually installed on the mine surface at different heights, which leads to an increase in the number of radar slope monitors installed. Due to the geographical conditions of the mine, the installation is difficult, and the phenomenon of landslides will also pose risks to the safe use of radar slope monitors. Landslides impacting radar slope monitors will cause damage to the radar slope monitors. Summary of the invention

[0006] The purpose of the present invention is to provide a mine landslide prediction and processing system and method to solve the technical problems that the existing landslide prediction and processing in the prior art has not taken into account the influence of the orientation of the mine slope on its landslide, and radar slope monitors are installed on the mine surface at different heights, resulting in an increase in the number of radar slope monitors installed and a short service life.

[0007] In order to solve the above technical problems, the present invention specifically provides the following technical solutions:

[0008] A mine landslide prediction and processing method comprises the following steps:

[0009] Step 100: monitor the deformation of the mine slope by zoning, obtain a three-dimensional model of the mine, and perform zoning monitoring on the three-dimensional model of the mine, form multiple contour lines in the three-dimensional model of the mine, and set monitoring points at the same height position in the monitoring areas of multiple zoning monitoring;

[0010] Step 200, performing fixed-point cyclic monitoring on each of the monitoring areas, arranging radar monitoring components at the top of the mine and at the top of the mine opposite to each of the monitoring areas, and regulating the radar monitoring components to cyclically monitor the slope deformation changes of each of the monitoring points by establishing a mapping relationship between the position adjustment parameters of the radar monitoring components and the monitoring points;

[0011] Step 300, obtaining the azimuth coordinates of each of the monitoring points, monitoring the geological characteristic indexes of the monitoring points at different heights in each of the monitoring areas, obtaining a two-dimensional azimuth map of the mine from a bird's-eye view based on the three-dimensional model of the mine, and determining the azimuth coordinates of each of the monitoring points;

[0012] Step 400: Analyze the slope deformation data to determine the azimuth influence coefficient between the azimuth coordinates of the monitoring point and the progressive change of the geological characteristic index, and the azimuth influence coefficient between the azimuth coordinates of the monitoring point and the progressive change of the slope deformation, and take the azimuth influence coefficient as a factor to construct a landslide prediction model that takes exposure azimuth into consideration.

[0013] As a preferred solution of the present invention, in step 100, the monitoring points are selected at different contour line positions of each monitoring area of ​​the three-dimensional model of the mine, wherein the height positions of the monitoring points in different monitoring areas are the same, and the width of each monitoring area of ​​the partition monitoring gradually decreases from the height to the width;

[0014] The number of the monitoring points is set based on the width of each monitoring area so that the distance between two adjacent monitoring points satisfies the monitoring data radiation range of a single monitoring point.

[0015] As a preferred solution of the present invention, in step 200, a mapping relationship between the position adjustment parameters of the radar monitoring component and the monitoring points is established, and the radar monitoring component is made to cyclically monitor the slope deformation change of each monitoring point according to the mapping relationship. The specific implementation method is:

[0016] Determine the height of the top of the mine in the monitoring area where the radar monitoring component is installed, and the height of the top of the mine in the monitoring area of ​​the radar monitoring component, and calculate the height difference between the monitoring area where the installation position is located and the monitoring area to be monitored relatively;

[0017] Determine the pitch angle of the radar monitoring component at the monitoring height of the monitoring area based on the height difference, and determine the pitch angle of the radar monitoring component corresponding to each monitoring point in the monitoring area;

[0018] Setting a three-dimensional coordinate system between the longitudinal section of each monitoring area and the radar monitoring component, and determining the rotation and swing angle corresponding to the monitoring point of the radar monitoring component at each height position;

[0019] Establishing a mapping relationship table between the pitch angle, the rotation and swing angle of the radar monitoring component and each of the monitoring points, so that when the radar monitoring component works according to the set pitch angle and the rotation and swing angle, the monitoring points at different heights in the monitoring area are monitored in a fixed-point manner;

[0020] The radar monitoring component performs cyclic slope deformation monitoring from top to bottom or from bottom to top on monitoring points at different heights in the monitoring area according to the mapping relationship table.

[0021] As a preferred solution of the present invention, the radar monitoring component performs slope deformation monitoring on monitoring points at different heights in each monitoring area in a loop in accordance with the mapping relationship table, so as to determine the surface deformation of the mine slope, and establish a slope deformation monitoring two-dimensional coordinate system between the slope deformation of each monitoring area and the height of the monitoring point;

[0022] Based on the cyclic monitoring of each monitoring point by the radar monitoring component, the slope deformation change of each control height is determined, and a plurality of monitoring lines are formed in the slope deformation monitoring two-dimensional coordinate system;

[0023] Determine the position of each monitoring point in the two-dimensional azimuth map, and collect in real time the slope deformation changes of multiple monitoring points in different monitoring areas and with the same control height to determine the slope deformation influence coefficient of the azimuth position on the slope deformation change of the monitoring point.

[0024] As a preferred solution of the present invention, in step 300, the directional position of each monitoring point in the top-view two-dimensional azimuth map is determined by:

[0025] Taking the southeast, northwest and north directions as the parameters of the coordinate axes, the overhead two-dimensional orientation map is formed based on the height layer corresponding to each contour line of the three-dimensional mine model, and the mine overhead view of each height layer is divided into four quadrants, wherein the first quadrant is the northeast direction, the second quadrant is the northwest direction, the third quadrant is the southwest direction, and the fourth quadrant is the southeast direction;

[0026] The monitoring area is divided into four quadrants respectively, and the azimuth coordinates of each monitoring point in the monitoring area corresponding to different height layers in the three-dimensional mine model are determined and set in the two-dimensional azimuth map;

[0027] The azimuth coordinates specifically use east, south, west and north as direction indicators, and use coordinate values ​​(x, y) as position indicators.

[0028] As a preferred solution of the present invention, in step 400, a slope deformation monitoring two-dimensional coordinate system between the slope deformation of each monitoring area and the height of the monitoring point, and the azimuth coordinates of each monitoring point in the two-dimensional azimuth map of the top view are combined to select a plurality of monitoring points at the same height and with different azimuth coordinates;

[0029] The geological characteristic indexes of the multiple monitoring points selected above are obtained in real time, the influence coefficient of the azimuth coordinates of the monitoring points on the geological characteristic index of the monitoring points is determined, and a landslide prediction model based on the azimuth coordinates of the reference monitoring points is constructed, thereby dividing the entire mine into slopes with different azimuth coordinates and establishing matching treatment plans for different slopes.

[0030] As a preferred solution of the present invention, the geological characteristic index of each monitoring point includes: stress change parameter, groundwater parameter and rainfall parameter;

[0031] Among them, the overhead two-dimensional azimuth maps of the mine tracks with complete contour lines and closed-loop distribution are selected from all the overhead two-dimensional azimuth maps;

[0032] Performing a secondary screening on the screened overhead two-dimensional orientation map, taking the monitoring area where the monitoring points of the eliminated overhead two-dimensional orientation map are located as the elimination target, eliminating the monitoring points in the same monitoring area as the eliminated overhead two-dimensional orientation map from the remaining overhead two-dimensional orientation map, so as to form the overhead two-dimensional orientation map excluding error factors;

[0033] By monitoring the process change of at least one geological characteristic index of monitoring points at different azimuth coordinates and at the same height in the two-dimensional azimuth map viewed from above with error factors excluded, the influence coefficient of the azimuth coordinates of the monitoring points on the process change of the geological characteristic index is determined to predict the parameters of the geological characteristic index in the next process, and based on the landslide prediction model, the geological characteristic index is predicted to form a slope deformation prediction after the parameters of the next process are aggregated;

[0034] The predicted slope deformation amount is compared with a safety threshold, and when the predicted slope deformation amount exceeds the safety threshold, landslide prevention treatment is performed.

[0035] As a preferred solution of the present invention, the slope deformations of all monitoring points in the same monitoring area in the two-dimensional top-view azimuth map excluding error factors are accumulated, the slope deformations generated in all monitoring areas are compared, and at least two monitoring areas with slope deformation difference values ​​exceeding a set value are screened out;

[0036] Determine the position coordinates of the screened monitoring area in the top-view two-dimensional position map;

[0037] The process change amount of each geological characteristic index in the screened monitoring area is determined, and the influence coefficient of the azimuth coordinates of the monitoring point on the process change amount of the geological characteristic index is determined by neural convolution analysis.

[0038] In addition, based on the above-mentioned mine landslide prediction processing method, the present invention also provides a mine landslide prediction processing, including:

[0039] A mine 3D model building module is used to build a 3D model of the current development level of the mine;

[0040] The monitoring area division module is used to divide the mine into multiple monitoring areas based on the three-dimensional model of the current development level of the mine, and select monitoring points at different heights within the monitoring area;

[0041] An engineering monitoring deployment component is used to set up monitoring equipment for monitoring geological characteristic indexes in each of the monitoring areas;

[0042] A slope deformation monitoring component is used to be arranged at the top of the opposite mine in each monitoring area, and to establish a mapping relationship between the position control parameters of the slope deformation monitoring component and the monitoring points it monitors, so that when the slope deformation monitoring component works in a cyclic fixed-point manner according to the position control parameters, the slope deformation of each set monitoring point is obtained in turn;

[0043] A two-dimensional orientation map, wherein the three-dimensional model is divided into a plurality of two-dimensional orientation maps according to different contour lines, each monitoring area is projected into the two-dimensional orientation map, the orientation coordinates corresponding to the monitoring points in each of the two-dimensional orientation maps are determined, and the slope deformation of each of the monitoring points is accumulated in the same two-dimensional orientation map;

[0044] A data analysis module, used to determine the influence coefficient of the azimuth coordinates of the monitoring point on the process change of the geological characteristic index;

[0045] The landslide prediction model building module is used to form a landslide prediction model that integrates geological characteristic index, slope deformation and azimuth coordinates as considerations.

[0046] As a preferred solution of the present invention, the data analysis module is used to analyze the influence relationship between the azimuth coordinates and the slope deformation, as well as the influence relationship between the azimuth coordinates and the geological characteristic index, and the influence of the azimuth coordinates on the geological characteristic index is taken as a fixed parameter, and the influence of the azimuth coordinates on the slope deformation is taken as a fixed parameter, so that the landslide prediction model takes into account the real-time monitoring parameters of the geological characteristic index and slope deformation as well as the above-mentioned fixed parameters.

[0047] Compared with the prior art, the present invention has the following beneficial effects:

[0048] (1) The distribution orientation of the mine slope is taken as an influencing factor of the landslide, and the orientation influence coefficient between the distribution orientation of the mine slope and the progressive change of the geological characteristic index is determined as a consideration parameter, and the orientation influence coefficient between the orientation coordinates of the monitoring point and the progressive change of the slope deformation is determined as a consideration parameter, and a landslide prediction model considering the distribution orientation of the mine slope is generated to predict the future timestamp of the landslide, thereby improving the accuracy of landslide prediction and facilitating the orderly arrangement of mine slopes in different orientations.

[0049] (2) After the present invention divides the mine into different monitoring areas according to the three-dimensional model, each monitoring area only uses one radar monitoring component to perform fixed-point monitoring, thereby reducing the number of radar monitoring components used. Only the same number of radar monitoring components as the number of monitoring areas is used to complete the fixed-point monitoring of the slope deformation cycle of the entire mine. In addition, since the radar monitoring components are installed on the top of the mine, damage to the radar monitoring components caused by landslides can be effectively avoided. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] In order to more clearly illustrate the implementation methods of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for the implementation methods or the description of the prior art. Obviously, the drawings in the following description are only exemplary, and for ordinary technicians in this field, other implementation drawings can be derived from the provided drawings without creative work.

[0051] Figure 1 It is a schematic diagram of the overall structure of an embodiment of the present invention; DETAILED DESCRIPTION

[0052] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only 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.

[0053] like Figure 1 As shown, the present invention provides a mine landslide prediction and processing system, comprising:

[0054] A mine 3D model building module is used to build a 3D model of the current development level of the mine;

[0055] The monitoring area division module is used to divide the mine into multiple monitoring areas based on the three-dimensional model of the current development level of the mine, and select monitoring points at different heights within the monitoring area;

[0056] Engineering monitoring deployment components, used to set up monitoring equipment for monitoring geological characteristic indexes in each monitoring area;

[0057] The slope deformation monitoring component is used to be set at the top of the opposite mine in each monitoring area, and a mapping relationship between the position control parameters of the slope deformation monitoring component and the monitoring points it monitors is established, so that when the slope deformation monitoring component works in a cyclic fixed-point manner according to the position control parameters, the slope deformation of each set monitoring point is obtained in turn;

[0058] Two-dimensional azimuth map: divide the three-dimensional model into multiple two-dimensional azimuth maps according to different contour lines, project each monitoring area into the two-dimensional azimuth map, determine the azimuth coordinates corresponding to the monitoring point in each two-dimensional azimuth map, and accumulate the slope deformation of each monitoring point in the same two-dimensional azimuth map;

[0059] A data analysis module is used to determine the influence coefficient of the azimuth coordinates of the monitoring point on the process change of the geological characteristic index;

[0060] The landslide prediction model building module is used to form a landslide prediction model that integrates geological characteristic index, slope deformation and azimuth coordinates as considerations.

[0061] The data analysis module is used to analyze the influence relationship between the azimuth coordinates and the slope deformation, as well as the influence relationship between the azimuth coordinates and the geological characteristic index. The influence of the azimuth coordinates on the geological characteristic index is taken as a fixed parameter, and the influence of the azimuth coordinates on the slope deformation is taken as a fixed parameter, so that the landslide prediction model considers the real-time monitoring parameters of the geological characteristic index and slope deformation as well as the above-mentioned fixed parameters.

[0062] This implementation method takes the distribution orientation of the mine slope as an influencing factor of the landslide, determines the orientation influence coefficient between the distribution orientation of the mine slope and the progressive change of the geological characteristic index as a consideration parameter, and the orientation influence coefficient between the orientation coordinates of the monitoring point and the progressive change of the slope deformation as a consideration parameter, generates a landslide prediction model that considers the distribution orientation of the mine slope, predicts the future timestamp of the occurrence of the landslide, improves the accuracy of the landslide prediction, and can orderly arrange treatment plans for mine slopes in different orientations.

[0063] In view of the working method of the above-mentioned mine landslide prediction and processing system, the present invention also provides a mine landslide prediction and processing method, comprising the following steps:

[0064] Step 100, monitor the deformation of the mine slope in different zones, obtain a three-dimensional model of the mine and monitor the three-dimensional model of the mine in different zones, form multiple contour lines in the three-dimensional model of the mine, and set monitoring points at the same height position in the monitoring areas of multiple zone monitoring.

[0065] In step 100, monitoring points are selected at different contour positions of each monitoring area of ​​the three-dimensional model of the mine, wherein the height positions of the monitoring points in different monitoring areas are the same, and the width of the monitoring area of ​​each partition monitoring gradually decreases from top to bottom;

[0066] The number of monitoring points is set based on the width of each monitoring area so that the distance between two adjacent monitoring points satisfies the monitoring data radiation range of a single monitoring point.

[0067] Step 200, perform fixed-point cyclic monitoring on each monitoring area, arrange radar monitoring components at the top of the mine and at the top of the opposite mine in each monitoring area, and establish a mapping relationship between the position adjustment parameters of the radar monitoring components and the monitoring points, and control the radar monitoring components to cyclically monitor the slope deformation changes of each monitoring point.

[0068] Step 300, obtain the azimuth coordinates of each monitoring point, monitor the geological characteristic indexes of the monitoring points at different heights in each monitoring area, obtain a two-dimensional top-down azimuth map of the mine based on the three-dimensional model of the mine, and determine the azimuth coordinates of each monitoring point.

[0069] Step 400: Analyze the slope deformation data to determine the azimuth influence coefficient between the azimuth coordinates of the monitoring point and the progressive change of the geological characteristic index, and the azimuth influence coefficient between the azimuth coordinates of the monitoring point and the progressive change of the slope deformation, and take the azimuth influence coefficient as a factor to construct a landslide prediction model that takes into account the exposure azimuth.

[0070] The existing monitoring projects of mining engineering monitoring work include video monitoring, manual inspection, surface deformation, surface cracks, surface uplift, groundwater level, groundwater volume, groundwater pressure, slope seepage monitoring, etc., and then the data of the above monitoring projects are integrated to form a landslide prediction model. However, the existing landslide prediction model only considers the geological parameters on the slope surface, and does not consider the impact of different azimuth coordinates of the mine on the landslide.

[0071] As we all know, weathering can change the physical properties and chemical composition of rocks. For example, solar radiation, water erosion and wind erosion can also cause rocks to change, affecting the stability of slope rocks. One of the main reasons for landslides is the change in rock stability on the slope of mines. Since mines are generally large in area and exposed for a long time, the weathering effects received at different locations of mines are naturally different.

[0072] Therefore, this implementation is based on the fact that different orientations of the mine are subject to different weathering effects. Since weathering will have a specific impact on parameters such as surface deformation, surface cracks, surface uplift, groundwater level, groundwater volume, groundwater pressure, and slope seepage monitoring, thereby affecting the progress of the landslide, this implementation performs three-dimensional partitioning of the mine and sets monitoring points for the monitoring area of ​​each three-dimensional partition. The azimuth influence coefficient between the azimuth coordinates of the monitoring point and the progressive change in the geological characteristic index, as well as the azimuth influence coefficient between the azimuth coordinates of the monitoring point and the progressive change in the slope deformation, is determined. The azimuth influence coefficient is taken as a factor to construct a landslide prediction model that takes the exposure orientation into consideration.

[0073] That is, the azimuth influence coefficient between the azimuth coordinates of the monitoring point and the progressive change of the geological characteristic index, and the azimuth influence coefficient between the azimuth coordinates of the monitoring point and the progressive change of the slope deformation are taken as fixed parameters. The landslide prediction model is divided into two parts consisting of fixed parameters and real-time monitoring model data, which work together to predict whether a landslide will occur and the future timestamp of the landslide.

[0074] As another innovative point of this embodiment, after dividing the mine into different monitoring areas according to the three-dimensional model, each monitoring area only uses one radar monitoring component to perform fixed-point monitoring, thereby reducing the number of radar monitoring components used. Only using the same number of radar monitoring components as the number of monitoring areas, the slope deformation monitoring of the entire mine is completed.

[0075] The specific implementation method is: when a radar monitoring component is used to monitor the slope deformation of monitoring points at different heights, since a single monitoring point is monitored in a cyclic manner, in order to ensure the accuracy of the slope deformation work, fixed-point monitoring is required each time the slope deformation monitoring is performed on a certain monitoring point, that is, to ensure that each monitoring of the monitoring point is at a fixed point in the monitoring area, thereby increasing the credibility of the cyclic slope deformation monitoring of the monitoring point.

[0076] In order to realize the above-mentioned fixed-point monitoring, in step 200, this embodiment establishes a mapping relationship between the position adjustment parameters of the radar monitoring component and the monitoring point, and enables the radar monitoring component to cyclically monitor the slope deformation change of each monitoring point according to the mapping relationship. The specific implementation method is as follows:

[0077] Step 201, determine the height of the top of the mine in the monitoring area where the radar monitoring component is installed, and the height of the top of the mine in the monitoring area of ​​the radar monitoring component, and calculate the height difference between the monitoring area where the installation position is located and the monitoring area to be monitored relatively;

[0078] Step 202: determine the pitch angle of the radar monitoring component at the monitoring height of the monitoring area based on the height difference, and determine the pitch angle of the radar monitoring component corresponding to each monitoring point in the monitoring area;

[0079] Step 203: Set a three-dimensional coordinate system between the longitudinal section of each monitoring area and the radar monitoring component, and determine the rotation and swing angle corresponding to the monitoring point position of the radar monitoring component at each height position;

[0080] Step 204: Establish a mapping relationship table between the pitch angle, rotation angle and each monitoring point of the radar monitoring component, so that when the radar monitoring component works according to the set pitch angle and rotation angle, it can perform fixed-point monitoring on monitoring points at different heights in a monitoring area;

[0081] Step 205: The radar monitoring component performs cyclic slope deformation monitoring from top to bottom or from bottom to top on monitoring points at different heights in the monitoring area according to the mapping relationship table.

[0082] The radar monitoring component monitors the slope deformation of monitoring points at different heights in each monitoring area in a loop according to the mapping relationship table to determine the surface deformation of the mine slope and establish a two-dimensional coordinate system for slope deformation monitoring between the slope deformation of each monitoring area and the height of the monitoring point.

[0083] Based on the cyclic monitoring of each monitoring point by the radar monitoring component, the slope deformation change at each controlled height is determined, and multiple monitoring lines are formed in the slope deformation monitoring two-dimensional coordinate system.

[0084] Determine the position of each monitoring point in the two-dimensional azimuth map from above, collect the slope deformation changes of multiple monitoring points in different monitoring areas with the same control height in real time, and determine the slope deformation influence coefficient of the azimuth position on the slope deformation changes of the monitoring points.

[0085] That is to say, in actual applications, the radar monitoring component works in a cyclic manner according to the mapping relationship table between the position allocation parameters and the monitoring points. Based on the pitch angle and rotation angle of a single point of the radar monitoring component, the position of the monitoring point of the monitoring area corresponding to the radar monitoring component can be determined. By repeatedly monitoring the slope deformation of the monitoring point, the specific deformation value can be determined.

[0086] Therefore, the present application can ensure that the monitoring points of the radar monitoring components are relatively fixed-point each time by setting the scheduling position parameters of the radar monitoring components. Therefore, as long as the radar monitoring components are ensured to monitor the slope deformation of different monitoring points in a fixed order (such as cyclic sequence monitoring from the top of the mine to the bottom, or cyclic sequence monitoring from the bottom of the mine to the top), fewer radar monitoring components can be used to complete the fixed-point cyclic monitoring of multiple monitoring points in the entire mine.

[0087] In step 300, the directional position of each monitoring point in the top-view two-dimensional azimuth map is determined by:

[0088] Taking the southeast, northwest and north directions as the parameters of the coordinate axes, a two-dimensional bird's-eye view map is formed based on the height layer corresponding to each contour line of the three-dimensional model of the mine. The bird's-eye view of the mine at each height layer is divided into four quadrants, with the first quadrant being the northeast direction, the second quadrant being the northwest direction, the third quadrant being the southwest direction, and the fourth quadrant being the southeast direction.

[0089] The monitoring area is divided into four quadrants respectively, and the coordinates (x, y) of the monitoring points in the monitoring area corresponding to different height layers in the three-dimensional model of the mine are determined to set the azimuth coordinates of each monitoring point in the two-dimensional azimuth map when looking down.

[0090] The azimuth coordinates specifically use east, south, west and north as direction indicators, and the abbreviated values ​​of the coordinate values ​​(x, y) as position indicators.

[0091] In this embodiment, through fixed-point cyclic monitoring by the radar monitoring component, the geological characteristic index and slope deformation index of each monitoring point can be integrated in the three-dimensional model of the mine. By cutting along the Z-axis direction of the three-dimensional model of the mine, the three-dimensional model of the mine can be cut into multi-level two-dimensional orientation maps of the top view, and each two-dimensional orientation map of the top view corresponds to a contour layer.

[0092] This embodiment uses the overhead two-dimensional azimuth map corresponding to each layer of contour lines to determine the azimuth coordinates of each monitoring point, and determines the influence of the orientation on the slope deformation and geological parameter index by comparing the slope deformation and geological parameter index of the monitoring points in different orientations in each overhead two-dimensional azimuth map.

[0093] In step 400, a slope deformation monitoring two-dimensional coordinate system between the slope deformation of each monitoring area and the height of the monitoring point, and the azimuth coordinates of each monitoring point in the two-dimensional azimuth map are combined to select multiple monitoring points of the same height and different azimuth coordinates;

[0094] The geological characteristic indexes of the multiple monitoring points selected above are obtained in real time, the influence coefficient of the azimuth coordinates of the monitoring points on the geological characteristic index of the monitoring points is determined, and a landslide prediction model based on the azimuth coordinates of the reference monitoring points is constructed, thereby dividing the entire mine into slopes with different azimuth coordinates and establishing matching treatment plans for different slopes.

[0095] The geological characteristic index of each monitoring point includes: stress change parameters, groundwater parameters and rainfall parameters;

[0096] Among them, by monitoring the process change of at least one geological characteristic index of monitoring points with different azimuth coordinates and at the same height, the influence coefficient of the azimuth coordinates of the monitoring point on the process change of the geological characteristic index is determined to predict the parameters of the geological characteristic index in the next process, and the geological characteristic index is predicted based on the landslide prediction model to form a slope deformation prediction after the aggregation of the parameters in the next process;

[0097] The predicted slope deformation is compared with the safety threshold. When the predicted slope deformation exceeds the safety threshold, landslide prevention measures are taken.

[0098] Furthermore, in order to improve the accuracy of the influence of orientation on slope deformation and geological parameter index, as a preferred embodiment of the present embodiment, a two-dimensional overhead orientation map of mine trajectories with complete contour lines and closed-loop distribution is selected from all the two-dimensional overhead orientation maps to eliminate the influence of slope deformation caused by the height of mines at different heights.

[0099] The selected overhead two-dimensional azimuth map is screened twice, and the monitoring area where the monitoring points of the eliminated overhead two-dimensional azimuth map are located is used as the elimination target. The monitoring points in the same monitoring area as the eliminated overhead two-dimensional azimuth map are eliminated from the overhead two-dimensional azimuth map to form an overhead two-dimensional azimuth map that eliminates error factors. Similarly, since there are monitoring points in the overhead two-dimensional azimuth map that are in the same monitoring area as the eliminated overhead two-dimensional azimuth map, according to the above steps, the overhead two-dimensional azimuth map that cannot form a circular contour line has been eliminated (that is, it means that the overhead two-dimensional azimuth map with obvious height difference has been eliminated). If the above-mentioned eliminated overhead two-dimensional azimuth map divides the monitoring area, the monitoring points with lower height in the monitoring area are still in other overhead two-dimensional azimuth maps. The monitoring points in this part are affected by height pressure, and it is impossible to accurately judge the influence of the orientation on the slope deformation of the monitoring points. By eliminating these monitoring points, the accuracy of judging the influence of the orientation on the slope deformation of the monitoring points can be improved.

[0100] The slope deformations of all monitoring points in the same monitoring area in the overhead two-dimensional azimuth map excluding the monitoring points are accumulated, the slope deformations generated in all monitoring areas are compared, and at least two monitoring areas with slope deformation difference values ​​exceeding the set value are screened out.

[0101] Determine the azimuth coordinates of the selected monitoring area in the overhead two-dimensional azimuth map.

[0102] Determine the process change of each geological characteristic index in the screened monitoring area, and determine the influence coefficient of the azimuth coordinates of the monitoring point on the process change of the geological characteristic index through neural convolution analysis.

[0103] The above specifically compares the slope deformation and geological parameter index of the monitoring points at different orientations in each two-dimensional top-down orientation map to determine the influence of orientation on the slope deformation and the geological parameter index, which has certain specificity and deviation.

[0104] In order to eliminate this deviation, the present embodiment accumulates the slope deformations of the monitoring points in the same monitoring area, thereby improving the accuracy of determining the influence coefficient of the azimuth coordinates of the monitoring points on the process variation of the geological characteristic index.

[0105] This implementation method takes the distribution orientation of the mine slope as an influencing factor of the landslide, determines the orientation influence coefficient between the distribution orientation of the mine slope and the progressive change of the geological characteristic index as a consideration parameter, and the orientation influence coefficient between the orientation coordinates of the monitoring point and the progressive change of the slope deformation as a consideration parameter, generates a landslide prediction model that considers the distribution orientation of the mine slope, predicts the future timestamp of the occurrence of the landslide, improves the accuracy of the landslide prediction, and can orderly arrange treatment plans for mine slopes in different orientations.

[0106] The above embodiments are only exemplary embodiments of the present application and are not intended to limit the present application. The protection scope of the present application is defined by the claims. Those skilled in the art may make various modifications or equivalent substitutions to the present application within the essence and protection scope of the present application, and such modifications or equivalent substitutions shall also be deemed to fall within the protection scope of the present application.

Claims

1. A method for predicting and processing mine landslides, characterized in that: The following steps are involved: Step 100: monitor the deformation of the mine slope by zoning, obtain a three-dimensional model of the mine, and perform zoning monitoring on the three-dimensional model of the mine, form multiple contour lines in the three-dimensional model of the mine, and set monitoring points at the same height position in the monitoring areas of multiple zoning monitoring; Step 200: performing fixed-point cyclic monitoring on each of the monitoring areas, arranging a radar monitoring component on the top of the mine opposite to each of the monitoring areas, and regulating the radar monitoring component to cyclically monitor the slope deformation change of each of the monitoring points by establishing a mapping relationship between the position adjustment parameters of the radar monitoring component and the monitoring points; In step 200, a mapping relationship between the position adjustment parameters of the radar monitoring component and the monitoring points is established, and the radar monitoring component is made to cyclically monitor the slope deformation change of each monitoring point according to the mapping relationship. The specific implementation method is: Determine the height of the top of the mine in the monitoring area where the radar monitoring component is installed, and the height of the top of the mine in the monitoring area of ​​the radar monitoring component, and calculate the height difference between the monitoring area where the installation position is located and the monitoring area to be monitored relatively; Determine the pitch angle of the radar monitoring component at the monitoring height of the monitoring area based on the height difference, and determine the pitch angle of the radar monitoring component corresponding to each monitoring point in the monitoring area; Setting a three-dimensional coordinate system between the longitudinal section of each monitoring area and the radar monitoring component, and determining the rotation and swing angle corresponding to the monitoring point of the radar monitoring component at each height position; Establishing a mapping relationship table between the pitch angle, the rotation and swing angle of the radar monitoring component and each of the monitoring points, so that when the radar monitoring component works according to the set pitch angle and the rotation and swing angle, the monitoring points at different heights in the monitoring area are monitored in a fixed-point manner; The radar monitoring component performs cyclic slope deformation monitoring from top to bottom or from bottom to top on monitoring points at different heights in the monitoring area according to the mapping relationship table; Step 300, obtaining the azimuth coordinates of each of the monitoring points, monitoring the geological characteristic indexes of the monitoring points at different heights in each of the monitoring areas, obtaining a two-dimensional azimuth map of the mine from a bird's-eye view based on the three-dimensional model of the mine, and determining the azimuth coordinates of each of the monitoring points; Step 400: Analyze the slope deformation data to determine the azimuth influence coefficient between the azimuth coordinates of the monitoring point and the progressive change of the geological characteristic index, and the azimuth influence coefficient between the azimuth coordinates of the monitoring point and the progressive change of the slope deformation, and take the azimuth influence coefficient as a factor to construct a landslide prediction model that takes exposure azimuth into consideration.

2. A mine landslide prediction and processing method according to claim 1, characterized in that: In the step 100, the monitoring points are selected at different contour line positions of each monitoring area of ​​the three-dimensional model of the mine, wherein the height positions of the monitoring points in different monitoring areas are the same, and the width of each monitoring area of ​​the partition monitoring gradually decreases from top to bottom; The number of the monitoring points is set based on the width of each monitoring area so that the distance between two adjacent monitoring points satisfies the monitoring data radiation range of a single monitoring point.

3. A mine landslide prediction and processing method according to claim 1, characterized in that: The radar monitoring component performs slope deformation monitoring on monitoring points at different heights in each monitoring area in a loop in accordance with the mapping relationship table, so as to determine the surface deformation of the mine slope, and establish a slope deformation monitoring two-dimensional coordinate system between the slope deformation of each monitoring area and the height of the monitoring point; Based on the cyclic monitoring of each monitoring point by the radar monitoring component, the slope deformation change at each control height is determined, and a plurality of monitoring lines are formed in the slope deformation monitoring two-dimensional coordinate system; Determine the position of each monitoring point in the two-dimensional azimuth map, and collect in real time the slope deformation changes of multiple monitoring points in different monitoring areas and with the same control height to determine the slope deformation influence coefficient of the azimuth position on the slope deformation change of the monitoring point.

4. A mine landslide prediction and processing method according to claim 3, characterized in that: In step 300, the directional position of each monitoring point in the top-view two-dimensional azimuth map is determined by: Taking the southeast, northwest and north directions as the parameters of the coordinate axes, the overhead two-dimensional orientation map is formed based on the height layer corresponding to each contour line of the three-dimensional mine model, and the mine overhead view of each height layer is divided into four quadrants, wherein the first quadrant is the northeast direction, the second quadrant is the northwest direction, the third quadrant is the southwest direction, and the fourth quadrant is the southeast direction; The monitoring area is divided into four quadrants respectively, and the azimuth coordinates of each monitoring point in the monitoring area corresponding to different height layers in the three-dimensional mine model are determined and set in the two-dimensional azimuth map; The azimuth coordinates specifically use east, south, west and north as direction indicators, and use coordinate values ​​(x, y) as position indicators.

5. A mine landslide prediction and processing method according to claim 4, characterized in that: In step 400, a plurality of monitoring points of the same height and different azimuth coordinates are selected based on the slope deformation monitoring two-dimensional coordinate system between the slope deformation of each monitoring area and the height of the monitoring point, and the azimuth coordinates of each monitoring point in the two-dimensional azimuth map. The geological characteristic indexes of the multiple monitoring points selected above are obtained in real time, the influence coefficient of the azimuth coordinates of the monitoring points on the geological characteristic index of the monitoring points is determined, and a landslide prediction model based on the azimuth coordinates of the reference monitoring points is constructed, thereby dividing the entire mine into slopes with different azimuth coordinates and establishing matching treatment plans for different slopes.

6. A mine landslide prediction and processing method according to claim 5, characterized in that: The geological characteristic index of each monitoring point includes: stress change parameter, groundwater parameter and rainfall parameter; Among them, the overhead two-dimensional azimuth maps of the mine tracks with complete contour lines and closed-loop distribution are selected from all the overhead two-dimensional azimuth maps; Performing a secondary screening on the screened overhead two-dimensional orientation map, taking the monitoring area where the monitoring points of the eliminated overhead two-dimensional orientation map are located as the elimination target, eliminating the monitoring points in the same monitoring area as the eliminated overhead two-dimensional orientation map from the remaining overhead two-dimensional orientation map, so as to form the overhead two-dimensional orientation map excluding error factors; By monitoring the process change of at least one geological characteristic index of monitoring points at different azimuth coordinates and at the same height in the two-dimensional azimuth map viewed from above with error factors excluded, the influence coefficient of the azimuth coordinates of the monitoring points on the process change of the geological characteristic index is determined to predict the parameters of the geological characteristic index in the next process, and based on the landslide prediction model, the geological characteristic index is predicted to form a slope deformation prediction after the parameters of the next process are aggregated; The predicted slope deformation amount is compared with a safety threshold, and when the predicted slope deformation amount exceeds the safety threshold, landslide prevention treatment is performed.

7. A mine landslide prediction and processing method according to claim 6, characterized in that: Accumulating the slope deformations of all monitoring points in the same monitoring area in the two-dimensional top-view azimuth map excluding error factors, comparing the slope deformations generated in all monitoring areas, and screening out the monitoring areas where at least two slope deformation difference values ​​exceed a set value; Determine the position coordinates of the screened monitoring area in the top-view two-dimensional position map; The process change amount of each geological characteristic index in the screened monitoring area is determined, and the influence coefficient of the azimuth coordinates of the monitoring point on the process change amount of the geological characteristic index is determined by neural convolution analysis.

8. A prediction and processing system based on the mine landslide prediction and processing method according to any one of claims 1 to 7, characterized in that: include: A mine 3D model building module is used to build a 3D model of the current development level of the mine; The monitoring area division module is used to divide the mine into multiple monitoring areas based on the three-dimensional model of the current development level of the mine, and select monitoring points at different heights within the monitoring area; An engineering monitoring deployment component is used to set up monitoring equipment for monitoring geological characteristic indexes in each of the monitoring areas; A slope deformation monitoring component is used to be arranged at the top of the opposite mine in each monitoring area, and to establish a mapping relationship between the position control parameters of the slope deformation monitoring component and the monitoring points it monitors, so that when the slope deformation monitoring component works in a cyclic fixed-point manner according to the position control parameters, the slope deformation of each set monitoring point is obtained in turn; A two-dimensional orientation map, wherein the three-dimensional model is divided into a plurality of two-dimensional orientation maps according to different contour lines, each monitoring area is projected into the two-dimensional orientation map, the orientation coordinates corresponding to the monitoring points in each of the two-dimensional orientation maps are determined, and the slope deformation of each of the monitoring points is accumulated in the same two-dimensional orientation map; A data analysis module, used to determine the influence coefficient of the azimuth coordinates of the monitoring point on the process change of the geological characteristic index; The landslide prediction model building module is used to form a landslide prediction model that integrates geological characteristic index, slope deformation and azimuth coordinates as considerations.

9. A prediction processing system according to claim 8, characterized in that: The data analysis module is used to analyze the influence relationship between the azimuth coordinates and the slope deformation, and the influence relationship between the azimuth coordinates and the geological characteristic index, and takes the influence of the azimuth coordinates on the geological characteristic index as a fixed parameter, and takes the influence of the azimuth coordinates on the slope deformation as a fixed parameter, so that the landslide prediction model takes into account the real-time monitoring parameters of the geological characteristic index and slope deformation as well as the above-mentioned fixed parameters.

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