A method, device and electronic equipment for evaluating the danger of a mining area

Abstract

The present application provides a method, device and electronic equipment for assessing the danger of a mining area. The method includes: for any mining area to be monitored, using leveling survey technology and / or real-time kinematic (RTK) positioning technology, unmanned aerial vehicles and microseismic detectors to conduct settlement monitoring to obtain microseismic settlement data; fitting the foregoing data to obtain target surface observation settlement data, target aerial survey settlement data and target microseismic settlement data and fusing them to obtain fused data; and obtaining a danger assessment result for any mining area to be monitored according to the fused data. The present application solves the technical problem that multiple observation means cannot directly calculate the settlement amount at the same position of any mining area to be monitored. By fitting the data obtained by multiple observation means to obtain fused data, it realizes efficient and reliable assessment of the danger of coal body impact in any mining area to be monitored, and provides guidance for the layout of subsequent underground coal mining operations.

Description

Technical Field

[0001] This application relates to the technical field of coal mining, and in particular, to a method, device, and electronic device for assessing the risk of a mining area. Background Art

[0002] In recent years, the construction of coal mining areas has been gradually developing towards a new sustainable development model of super-large mines, high production, high intensity, and high efficiency. At the same time, a new normal of multi-mine and multi-face mining in the mining area development process has gradually formed. However, in the actual coal mining process, there are often multiple technical difficulties to be overcome. In particular, how to achieve early warning of underground dynamic disasters in coal mining areas through monitoring the large-scale movement characteristics of high-level rock strata is one of the main research directions.

[0003] However, in the related technologies, there is no effective method for assessing the risk of mining areas. Therefore, how to reasonably and accurately obtain the surface movement trend of a large range of mining areas, and thus provide a basis for assessing the risk of underground coal and rock mass impact, has become an urgent problem to be solved. Summary of the Invention

[0004] This application provides a method, device, and electronic device for assessing the risk of a mining area. By fusing and processing microseismic monitoring data, surface leveling and RTK observation data, and low-altitude UAV aerial survey data, the surface movement trend of a large range of mining areas during a certain period can be obtained, providing a basis for assessing the risk of underground coal and rock mass impact and guiding the layout of subsequent underground coal mining operations.

[0005] According to the first aspect of this application, a method for assessing the risk of a mining area is provided, including: for any mining area to be monitored, using leveling survey technology and / or real-time kinematic differential positioning (RTK) technology to perform settlement monitoring to obtain surface observation settlement data, using an unmanned aerial vehicle (UAV) to perform settlement monitoring to obtain aerial survey settlement data, and using a microseismic detector to perform settlement monitoring to obtain microseismic settlement data; fitting the surface observation settlement data, the aerial survey settlement data, and the microseismic settlement data to obtain target surface observation settlement data, target aerial survey settlement data, and target microseismic settlement data, where the target surface observation settlement data, the target aerial survey settlement data, and the target microseismic settlement data are all data for the same location; fusing the target surface observation settlement data, the target aerial survey settlement data, and the target microseismic settlement data to obtain fusion data; and obtaining a risk assessment result for the any mining area to be monitored according to the fusion data.

[0006] In addition, a method for assessing the risk of a mining area according to the above embodiment of this application may further have the following additional technical features:

[0007] According to an embodiment of the present application, the settlement monitoring using the leveling technology and / or the real-time kinematic (RTK) positioning technology to obtain the surface observation settlement data includes: obtaining a first observation interval and the layout strategy for the first observation point within any of the areas to be monitored; according to the first observation interval and the layout strategy for the first observation point, performing at least two settlement monitoring operations on each of the first observation points; obtaining the first settlement monitoring data for any two times for the first observation point, and obtaining the surface observation settlement data according to the first settlement monitoring data, wherein the surface observation settlement data includes the elevation values of each of the first observation points.

[0008] According to an embodiment of the present application, the settlement monitoring using an unmanned aerial vehicle (UAV) to obtain the aerial survey settlement data includes: obtaining a second observation interval; according to the second observation interval, performing at least two settlement monitoring operations on any of the areas to be monitored; obtaining the second settlement monitoring data corresponding to any two times of settlement monitoring, and obtaining the aerial survey settlement data according to the second settlement monitoring data, wherein the aerial survey settlement data includes the second observation points to be monitored and the elevation values of each of the second observation points.

[0009] According to an embodiment of the present application, the settlement monitoring using a microseismic detector to obtain the microseismic settlement data includes: obtaining a third observation interval; according to the third observation interval, performing at least two settlement monitoring operations on any of the areas to be monitored; obtaining the third settlement monitoring data corresponding to any two times of settlement monitoring, and obtaining the microseismic settlement data according to the third settlement monitoring data, wherein the microseismic settlement data includes the settlement monitoring events corresponding to each time of settlement monitoring and the description information of the settlement monitoring events.

[0010] According to an embodiment of the present application, the fitting of the surface observation settlement data, the aerial survey settlement data, and the microseismic settlement data to obtain the target surface observation settlement data, the target aerial survey settlement data, and the target microseismic settlement data includes: obtaining target grid nodes; fitting the surface observation settlement data, the aerial survey settlement data, and the microseismic settlement data to the target grid nodes to obtain the target surface observation settlement data, the target aerial survey settlement data, and the target microseismic settlement data.

[0011] According to an embodiment of the present application, the step of fitting the surface observation settlement data, the aerial survey settlement data, and the microseismic settlement data to the target grid nodes to obtain the target surface observation settlement data, the target aerial survey settlement data, and the target microseismic settlement data includes: determining a target grid spacing between the abscissa and the ordinate according to the target grid nodes; and fitting the surface observation settlement data, the aerial survey settlement data, and the microseismic settlement data to the target grid nodes according to the target grid spacing.

[0012] According to an embodiment of the present application, the step of fusing the target surface observation settlement data, the target aerial survey settlement data, and the target microseismic settlement data to obtain fused data includes: performing a weighting process on the target surface observation settlement data, the target aerial survey settlement data, and the target microseismic settlement data, and using the weighting result as the fused data.

[0013] According to an embodiment of the present application, the step of obtaining a risk assessment result for any of the mines to be monitored according to the fused data includes: dividing any of the mines to be monitored into at least one sub-region according to the fused data; obtaining a risk level corresponding to each sub-region, and coloring the corresponding sub-region according to the risk level to obtain the risk assessment result.

[0014] According to a second aspect of the present application, there is provided a device for assessing the risk of a mining area, including: a first acquisition module configured to perform settlement monitoring on any mine to be monitored by using a leveling measurement technique and / or a real-time kinematic (RTK) positioning technique to obtain surface observation settlement data, perform settlement monitoring by using an unmanned aerial vehicle to obtain aerial survey settlement data, and perform settlement monitoring by using a microseismic detector to obtain microseismic settlement data; a second acquisition module configured to fit the surface observation settlement data, the aerial survey settlement data, and the microseismic settlement data to obtain target surface observation settlement data, target aerial survey settlement data, and target microseismic settlement data, wherein the target surface observation settlement data, the target aerial survey settlement data, and the target microseismic settlement data are all data for the same location; a fusion module configured to fuse the target surface observation settlement data, the target aerial survey settlement data, and the target microseismic settlement data to obtain fused data; and a third acquisition module configured to obtain a risk assessment result for any of the mines to be monitored according to the fused data.

[0015] In addition, a device for assessing the risk of a mining area according to the above embodiment of the present application may further have the following additional technical features:

[0016] According to an embodiment of the present application, the first acquisition module is further configured to: acquire a first observation interval and a layout strategy for a first observation point within any of the areas to be monitored; perform at least two settlement monitoring operations on each of the first observation points according to the first observation interval and the layout strategy for the first observation point; acquire first settlement monitoring data for any two times of settlement monitoring for the first observation point, and acquire the surface observation settlement data according to the first settlement monitoring data, where the surface observation settlement data includes the elevation values of each of the first observation points.

[0017] According to an embodiment of the present application, the first acquisition module is further configured to: acquire a second observation interval; perform at least two settlement monitoring operations on any of the areas to be monitored according to the second observation interval; acquire second settlement monitoring data corresponding to any two times of settlement monitoring, and acquire the aerial survey settlement data according to the second settlement monitoring data, where the aerial survey settlement data includes the second observation points to be monitored and the elevation values of each of the second observation points.

[0018] According to an embodiment of the present application, the first acquisition module is further configured to: acquire a third observation interval; perform at least two settlement monitoring operations on any of the areas to be monitored according to the third observation interval; acquire third settlement monitoring data corresponding to any two times of settlement monitoring, and acquire the microseismic settlement data according to the third settlement monitoring data, where the microseismic settlement data includes the settlement monitoring events corresponding to each settlement monitoring and the description information of the settlement monitoring events.

[0019] According to an embodiment of the present application, the second acquisition module is further configured to: acquire a target grid node; fit the surface observation settlement data, the aerial survey settlement data, and the microseismic settlement data to the target grid node to acquire target surface observation settlement data, target aerial survey settlement data, and target microseismic settlement data.

[0020] According to an embodiment of the present application, the second acquisition module is further configured to: determine a target grid spacing between the abscissa and the ordinate according to the target grid node; fit the surface observation settlement data, the aerial survey settlement data, and the microseismic settlement data to the target grid node according to the target grid spacing.

[0021] According to an embodiment of the present application, the fusion module is further configured to: perform weighted processing on the target surface observation settlement data, the target aerial survey settlement data, and the target microseismic settlement data, and use the weighted result as the fusion data.

[0022] According to an embodiment of the present application, the third acquisition module is further configured to: divide any mining area to be monitored into at least one sub-area according to the fusion data; obtain the risk level corresponding to each sub-area, and color the corresponding sub-area according to the risk level to obtain the risk assessment result.

[0023] To achieve the above object, an embodiment of the third aspect of the present application provides an electronic device, including a memory, a processor, and a computer program stored on the memory and executable on the processor. When the processor executes the program, the above-mentioned mining area risk assessment method is implemented.

[0024] To achieve the above object, an embodiment of the fourth aspect of the present application provides a non-transitory computer-readable storage medium, on which a computer program is stored. When the program is executed by a processor, the above-mentioned mining area risk assessment method is implemented.

[0025] To achieve the above object, an embodiment of the fifth aspect of the present application provides a computer program product, including a computer program, which when executed by a processor, implements the above-mentioned mining area risk assessment method.

[0026] The technical solution provided by the embodiments of the present application at least includes the following beneficial effects:

[0027] The present application provides a mining area risk assessment method. For any mining area to be monitored, the leveling measurement technology and / or the real-time kinematic differential positioning RTK technology are used to perform settlement monitoring to obtain surface observation settlement data, the unmanned aerial vehicle is used to perform settlement monitoring to obtain aerial survey settlement data, and the microseismic detector is used to perform settlement monitoring to obtain microseismic settlement data; the surface observation settlement data, the aerial survey settlement data, and the microseismic settlement data are fitted to obtain the target surface observation settlement data, the target aerial survey settlement data, and the target microseismic settlement data; the target surface observation settlement data, the target aerial survey settlement data, and the target microseismic settlement data are fused to obtain fusion data; according to the fusion data, the risk assessment result for any mining area to be monitored is obtained. Thus, the present application solves the technical problem that multiple observation means cannot directly calculate the settlement amount at the same position (the same plane coordinates) of any mining area to be monitored. By fitting the data obtained by multiple observation means to obtain fusion data, an efficient and reliable assessment of the coal body impact risk in any mining area to be monitored is realized, providing guidance for the layout of subsequent underground coal mining operations.

[0028] It should be understood that the content described in this part is not intended to identify the key or important features of the embodiments of the present application, nor is it used to limit the scope of the present application. Other features of the present application will become easily understood through the following description. Description of the Drawings

[0029] The accompanying drawings are used to better understand the present solution and do not constitute a limitation to this application. Among them:

[0030] Figure 1 It is a schematic flow diagram of a method for assessing the danger of a mining area provided by an embodiment of this application;

[0031] Figure 2 It is a schematic flow diagram of another method for assessing the danger of a mining area provided by an embodiment of this application;

[0032] Figure 3 It is a schematic diagram of the layout of surface survey lines and survey points in the area to be monitored provided by an embodiment of this application;

[0033] Figure 4 It is a schematic flow diagram of another method for assessing the danger of a mining area provided by an embodiment of this application;

[0034] Figure 5 It is a schematic diagram of aerial survey settlement data provided by an embodiment of this application;

[0035] Figure 6 It is a schematic flow diagram of another method for assessing the danger of a mining area provided by an embodiment of this application;

[0036] Figure 7 It is a schematic diagram of microseismic settlement data provided by an embodiment of this application;

[0037] Figure 8 It is a schematic flow diagram of another method for assessing the danger of a mining area provided by an embodiment of this application;

[0038] Figure 9 It is a schematic flow diagram of another method for assessing the danger of a mining area provided by an embodiment of this application;

[0039] Figure 10 It is a schematic diagram of data fitting provided by an embodiment of this application;

[0040] Figure 11 It is a schematic diagram of data fusion provided by an embodiment of this application;

[0041] Figure 12 It is a schematic flow diagram of another method for assessing the danger of a mining area provided by an embodiment of this application;

[0042] Figure 13 It is a schematic diagram of the assessment of the large-scale impact danger of the surveyed area in the area to be monitored provided by an embodiment of this application;

[0043] Figure 14 It is a schematic flow diagram of another method for assessing the danger of a mining area provided by an embodiment of this application;

[0044] Figure 15Schematic flow chart of another method for assessing the risk of a mining area provided by an embodiment of the present application;

[0045] Figure 16 Schematic structural diagram of a device for assessing the risk of a mining area provided by an embodiment of the present application;

[0046] Figure 17 Schematic structural diagram of an electronic device provided by an embodiment of the present application. Detailed implementation manners

[0047] The following describes exemplary embodiments of the present application with reference to the accompanying drawings. Various details of the embodiments of the present application are included to facilitate understanding, and they should be considered merely exemplary. Therefore, those of ordinary skill in the art should recognize that various changes and modifications can be made to the embodiments described herein without departing from the scope and spirit of the present application. Similarly, for the sake of clarity and conciseness, descriptions of well-known functions and structures are omitted below.

[0048] Hereinafter, embodiments are used to describe in detail the method, device, and electronic device for assessing the risk of a mining area of the present application.

[0049] Figure 1 Schematic flow chart of a method for assessing the risk of a mining area provided by an embodiment of the present application. It should be noted that the execution subject of the method for assessing the risk of a mining area in this embodiment is a device for assessing the risk of a mining area, and the device for assessing the risk of a mining area can specifically be a hardware device or software in a hardware device, etc. Among them, the hardware device is, for example, a terminal device, a server, etc.

[0050] As Figure 1 shown, the method for assessing the risk of a mining area proposed in this embodiment includes the following steps:

[0051] S101. For any mining area to be monitored, use leveling technology and / or real-time kinematic (RTK) technology for settlement monitoring to obtain surface observed settlement data, use an unmanned aerial vehicle for settlement monitoring to obtain aerial survey settlement data, and use a microseismic geophone for settlement monitoring to obtain microseismic settlement data.

[0052] It should be noted that in the related art, in order to assess the risk of any mining area to be monitored, the commonly used method is to carry out full-space integrated monitoring from underground to low altitude during the mining process of the mining area. Then, underground microseismic monitoring, surface leveling or RTK (Real-Time Kinematic) observation with a relatively large monitoring range, and low-altitude unmanned aerial vehicle aerial survey are selected. However, the foregoing technologies still cannot judge the large-scale movement behavior of the surface, and for the processing of the three types of monitoring data, they are all in an independent state, and the fusion processing of algebraic operations of the three types of data has not been realized.

[0053] Therefore, this application proposes a method for assessing the danger of mining areas, which can effectively fit the surface observation settlement data, aerial survey settlement data, and microseismic settlement data, so as to achieve the direct fusion of multiple data.

[0054] In the embodiments of this application, for any mining area to be monitored, the leveling survey technology and / or the real-time kinematic (RTK) positioning technology can be respectively used for settlement monitoring to obtain surface observation settlement data, an unmanned aerial vehicle can be used for settlement monitoring to obtain aerial survey settlement data, and microseismic geophones can be used for settlement monitoring to obtain microseismic settlement data.

[0055] Among them, the mining area to be monitored refers to any mining area that needs to be monitored; the coverage range of the mining area to be monitored mainly includes: the mining face, the goaf, and the solid coal to be mined, etc.

[0056] It should be noted that in practical applications, for the convenience of observation, any mining area to be monitored can be set as a rectangular or approximately rectangular closed area.

[0057] Among them, the leveling survey technology refers to the technology of using a level and a leveling staff to measure the height difference between two points on the ground.

[0058] Among them, RTK refers to a real-time kinematic measurement technology, which is a real-time kinematic positioning technology based on carrier phase observations.

[0059] Among them, an unmanned aerial vehicle (UAV / drone) refers to an unpiloted aircraft that is controlled by a radio remote control device and a self-contained program control device.

[0060] It should be noted that the leveling survey technology and / or the real-time kinematic (RTK) positioning technology can be used to conduct observations based on the observation points set in any mining area to be monitored and the measuring points of the fixed (permanent leveling point) to obtain surface observation settlement data; an unmanned aerial vehicle can be used to conduct monitoring based on the observation points set in any mining area to be monitored and the measuring points of the fixed (permanent leveling point) to obtain aerial survey settlement data; microseismic geophones can be used to conduct monitoring based on the observation points set in any mining area to be monitored and the measuring points of the fixed (permanent leveling point) to obtain microseismic settlement data.

[0061] S102. Fit the surface observation settlement data, aerial survey settlement data, and microseismic settlement data to obtain the target surface observation settlement data, target aerial survey settlement data, and target microseismic settlement data, where the target surface observation settlement data, target aerial survey settlement data, and target microseismic settlement data are all data for the same location.

[0062] It should be noted that for the leveling survey technology and / or the real-time kinematic differential positioning RTK technology, observation points can be arranged on the ground surface (usually arranged on flat ground rather than mountainous areas for convenient observation), so that the settlement data corresponding to the observation points can be obtained; for unmanned aerial vehicle (UAV) aerial survey, the observation points identified by the UAV are not the same as the observation points arranged by the leveling survey technology and / or the real-time kinematic differential positioning RTK technology, and the positions of the observation points are different; for microseismic detectors, the positions of the observation points are also different from the above two methods. Therefore, multiple observation methods such as well-ground-air cannot directly perform weighted averaging on the settlement data at the same position (with the same planar coordinates) of the mining area to be monitored. Therefore, it is necessary to fit the surface observation settlement data, aerial survey settlement data, and microseismic settlement data.

[0063] In the embodiment of the present application, after obtaining the surface observation settlement data, aerial survey settlement data, and microseismic settlement data, the surface observation settlement data, aerial survey settlement data, and microseismic settlement data can be fitted to obtain the target surface observation settlement data, target aerial survey settlement data, and target microseismic settlement data.

[0064] It should be noted that in the present application, there is no limitation on the specific method of fitting the surface observation settlement data, aerial survey settlement data, and microseismic settlement data to obtain the target surface observation settlement data, target aerial survey settlement data, and target microseismic settlement data, and it can be set according to the actual situation.

[0065] Optionally, the MATLAB software can be used to fit the surface observation settlement data, aerial survey settlement data, and microseismic settlement data to obtain the target surface observation settlement data, target aerial survey settlement data, and target microseismic settlement data.

[0066] Optionally, the surfer software can be used to fit the surface observation settlement data, aerial survey settlement data, and microseismic settlement data to obtain the target surface observation settlement data, target aerial survey settlement data, and target microseismic settlement data.

[0067] It should be noted that the target surface observation settlement data, target aerial survey settlement data, and target microseismic settlement data are all data for the same position. For example, the target surface observation settlement data, target aerial survey settlement data, and target microseismic settlement data are all data at the position x of the goaf; for another example, the target surface observation settlement data, target aerial survey settlement data, and target microseismic settlement data are all data at the position y of the coal mining face.

[0068] S103. Integrate the target surface observation settlement data, target aerial survey settlement data, and target microseismic settlement data to obtain integrated data.

[0069] In the embodiment of the present application, after obtaining the target surface observation settlement data, the target aerial survey settlement data, and the target microseismic settlement data, the target surface observation settlement data, the target aerial survey settlement data, and the target microseismic settlement data can be directly fused to obtain the fused data.

[0070] It should be noted that in the present application, there is no limitation on the specific method of fusing the target surface observation settlement data, the target aerial survey settlement data, and the target microseismic settlement data to obtain the fused data, which can be set according to the actual situation.

[0071] Optionally, after obtaining the target surface observation settlement data, the target aerial survey settlement data, and the target microseismic settlement data, the target surface observation settlement data, the target aerial survey settlement data, and the target microseismic settlement data can be weighted, and the weighted result can be used as the fused data.

[0072] S104. Obtain the risk assessment result for any mining area to be monitored according to the fused data.

[0073] In the embodiment of the present application, after obtaining the fused data, the risk assessment result for any mining area to be monitored can be obtained according to the fused data.

[0074] Among them, the risk assessment result refers to the risk assessment result for the overall area of any mining area to be monitored.

[0075] In this case, there is no limitation on the specific method of obtaining the risk assessment result for any mining area to be monitored according to the fused data in the present application, which can be set according to the actual situation.

[0076] Optionally, any mining area to be monitored can be divided into at least one sub-area, and the corresponding risk level of each sub-area can be obtained respectively. Further, according to the risk levels corresponding to all the sub-areas, the risk assessment result for any mining area to be monitored can be obtained.

[0077] The mining area risk assessment method provided by this application, for any mining area to be monitored, uses leveling measurement technology and / or real-time kinematic differential positioning RTK technology to conduct settlement monitoring to obtain surface observation settlement data, uses unmanned aerial vehicles to conduct settlement monitoring to obtain aerial survey settlement data, and uses microseismic detectors to conduct settlement monitoring to obtain microseismic settlement data. Secondly, the surface observation settlement data, aerial survey settlement data, and microseismic settlement data are fitted to obtain target surface observation settlement data, target aerial survey settlement data, and target microseismic settlement data. Then, the target surface observation settlement data, target aerial survey settlement data, and target microseismic settlement data are fused to obtain fused data. Finally, based on the fused data, the risk assessment result for any mining area to be monitored is obtained. Thus, this application solves the technical problem that multiple observation means cannot directly calculate the settlement amount at the same position (with the same planar coordinates) in any mining area to be monitored. By fitting the data obtained by multiple observation means to obtain fused data, it realizes efficient and reliable assessment of the risk of coal body impact in any mining area to be monitored, and provides guidance for the layout of subsequent underground coal mining operations.

[0078] The processes for obtaining surface observation settlement data, aerial survey settlement data, and microseismic settlement data are explained separately below.

[0079] Regarding the surface observation settlement data, as a possible implementation method, as Figure 2 shown, based on the above embodiment, the specific process of using leveling measurement technology and / or real-time kinematic differential positioning RTK technology to conduct settlement monitoring to obtain surface observation settlement data in the above steps includes the following steps:

[0080] S201. Obtain the first observation interval and the layout strategy for the first observation point in any area to be monitored.

[0081] Among them, the first observation interval is the time interval between two observations of the first observation point using leveling measurement technology and / or real-time kinematic differential positioning RTK technology.

[0082] It should be noted that the first observation interval can be determined according to the actual situation. For example, the first observation interval is set to 1 month; or for another example, the first observation interval is set to 2 months.

[0083] It should be noted that the layout strategy for the first observation point can be set according to the actual surface conditions of the area to be monitored.

[0084] For example, as Figure 3 shown, in order to avoid local concentration of survey lines and survey points and enable the survey lines and survey points to basically cover the observation area, multiple observation lines can be arranged in the area to be monitored, and several survey points can be arranged on the observation lines.

[0085] S202. Perform at least two settlement monitoring operations on each first observation point according to the first observation interval and the layout strategy for the first observation point.

[0086] In an embodiment of the present application, after obtaining the first observation interval and the layout strategy for the first observation point, use leveling survey technology and / or real-time kinematic (RTK) positioning technology to perform at least two settlement monitoring operations on each first observation point.

[0087] Among them, the layout strategy for the first observation point at least includes the layout position of the first observation point.

[0088] S203. Obtain the first settlement monitoring data for any two times for the first observation point, and based on the first settlement monitoring data, obtain the surface observation settlement data, where the surface observation settlement data includes the elevation value of each first observation point.

[0089] In an embodiment of the present application, after performing at least two settlement monitoring operations on each first observation point according to the first observation interval and the layout strategy for the first observation point, the first settlement monitoring data for any two times for the first observation point can be obtained. Further, the surface observation settlement data can be obtained based on the first settlement monitoring data.

[0090] Among them, the elevation value refers to the distance from the observation point along the plumb line direction to the absolute reference plane.

[0091] Regarding the aerial survey settlement data, as a possible implementation method, as Figure 4 shown, based on the above embodiment, the specific process of using an unmanned aerial vehicle (UAV) to perform settlement monitoring to obtain aerial survey settlement data in the above steps includes the following steps:

[0092] S401. Obtain the second observation interval.

[0093] Among them, the second observation interval is the time interval between two observations of the second observation point using a UAV.

[0094] It should be noted that the second observation time interval can be the same as the first observation time interval or different from the second observation time interval. For example, the second observation interval is set to 1 month; or for another example, the second observation interval is set to 3 months.

[0095] S402. According to the second observation interval, perform at least two settlement monitoring operations on any area to be monitored.

[0096] In an embodiment of the present application, after obtaining the second observation interval, use a UAV to perform settlement monitoring on any mining area to be monitored and perform at least two settlement monitoring operations on each second observation point.

[0097] S403. Obtain the second settlement monitoring data corresponding to any two settlement monitoring operations, and based on the second settlement monitoring data, obtain aerial survey settlement data, where the aerial survey settlement data includes the second observation points to be monitored and the elevation values of each second observation point.

[0098] In an embodiment of the present application, after performing at least two settlement monitoring operations on any area to be monitored according to the second observation interval, the second settlement monitoring data corresponding to the settlement monitoring can be obtained. Further, based on the second settlement monitoring data, the aerial survey settlement data can be obtained.

[0099] For example, as Figure 5 shown, the aerial survey settlement data includes the second observation points to be monitored and the elevation values of each second observation point.

[0100] Regarding the microseismic settlement data, as a possible implementation manner, as Figure 6 shown, based on the above embodiment, the specific process of using a microseismic detector to perform settlement monitoring to obtain microseismic settlement data in the above steps includes the following steps:

[0101] S601. Obtain the third observation interval.

[0102] The third observation interval is the time interval between two observations of the third observation point using a microseismic detector.

[0103] It should be noted that the third observation time interval can be the same as the first observation time interval and the second observation time interval, or can be different from the first observation time interval and the second observation time interval. For example, the second observation interval is set to 2 months; or for another example, the second observation interval is set to 3 months.

[0104] S602. According to the third observation interval, perform at least two settlement monitoring operations on any area to be monitored.

[0105] In an embodiment of the present application, after obtaining the third observation interval, use a microseismic detector to perform settlement monitoring on any mining area to be monitored, and perform at least two settlement monitoring operations on each third observation point.

[0106] S603. Obtain the third settlement monitoring data corresponding to any two settlement monitoring operations, and based on the third settlement monitoring data, obtain microseismic settlement data, where the microseismic settlement data includes the settlement monitoring events corresponding to each settlement monitoring operation and the description information of the settlement monitoring events.

[0107] In an embodiment of the present application, after performing at least two settlement monitoring operations on any area to be monitored according to the third observation interval, the third settlement monitoring data corresponding to the settlement monitoring can be obtained. Further, based on the third settlement monitoring data, the microseismic settlement data can be obtained.

[0108] Among them, the description information of the settlement monitoring event may include the date, time, spatial coordinates (X, Y, Z), and energy (E) of the settlement monitoring event, etc.

[0109] For example, as Figure 7 shown, the microseismic settlement data includes the settlement monitoring event corresponding to each settlement monitoring and the description information of the settlement monitoring event.

[0110] The acquisition methods of the surface observation settlement data, aerial survey settlement data, and microseismic settlement data provided in this application ensure the accuracy and reliability of obtaining the target surface observation settlement data, target aerial survey settlement data, and target microseismic settlement data, laying a foundation for accurately obtaining the risk assessment results of any mining area to be monitored.

[0111] Furthermore, in this application, after obtaining the surface observation settlement data, aerial survey settlement data, and the microseismic settlement data, the surface observation settlement data, aerial survey settlement data, and microseismic settlement data can be fitted to obtain the target surface observation settlement data, target aerial survey settlement data, and target microseismic settlement data.

[0112] As a possible implementation method, as Figure 8 shown, on the basis of the above embodiment, the specific process of fitting the surface observation settlement data, aerial survey settlement data, and microseismic settlement data in the above steps to obtain the target surface observation settlement data, target aerial survey settlement data, and target microseismic settlement data includes the following steps:

[0113] S801. Obtain the target grid nodes.

[0114] It should be noted that in this application, there is no limitation on the specific method for obtaining the target grid nodes, which can be set according to the actual situation.

[0115] For example, the surfer software can be used to generate the target grid file, and then the target grid nodes can be obtained.

[0116] S802. Fit the surface observation settlement data, aerial survey settlement data, and microseismic settlement data to the target grid nodes to obtain the target surface observation settlement data, target aerial survey settlement data, and target microseismic settlement data.

[0117] As a possible implementation method, as Figure 9 shown, on the basis of the above embodiment, the specific process of fitting the surface observation settlement data, aerial survey settlement data, and microseismic settlement data to the target grid nodes in the above step S802 to obtain the target surface observation settlement data, target aerial survey settlement data, and target microseismic settlement data includes the following steps:

[0118] S901. Determine the target grid spacing between the abscissa and the ordinate according to the target grid node.

[0119] In the embodiment of the present application, after obtaining the target grid node, the target grid spacing between the abscissa and the ordinate can be determined.

[0120] It should be noted that in the present application, the specific method for determining the target grid spacing between the abscissa and the ordinate is not limited and can be set according to the actual situation. For example, the target grid spacing between the abscissa and the ordinate can be preset to 1 centimeter.

[0121] S902. Fit the surface observation settlement data, aerial survey settlement data, and microseismic settlement data to the target grid node according to the target grid spacing.

[0122] In the embodiment of the present application, after obtaining the target grid spacing, the surface observation settlement data, aerial survey settlement data, and microseismic settlement data can be fitted to the target grid node.

[0123] For example, as Figure 10 shown, taking the X and Y axes as an example, the surface observation settlement data, aerial survey settlement data, and microseismic settlement data are fitted to the target grid node according to the target grid spacing.

[0124] Further, after fitting the surface observation settlement data to the target grid node according to the target grid spacing, the elevation point coordinate data of the first observation point after two fittings can be obtained, and then the elevation point coordinate data of the first observation point is divided into three columns of x, y, and z. Then, the difference is taken between the z-column elevation point coordinate data of the first observation point in the later measurement and the previous measurement to generate a data column "z surface observation settlement", while the x and y column data remain unchanged; finally, the three columns of data of x, y, and "z surface observation settlement" are saved. Among them, the three columns of data of x, y, and "z surface observation settlement" are the target surface observation settlement data.

[0125] Further, after fitting the aerial survey settlement data to the target grid node according to the target grid spacing, the elevation point coordinate data of the second observation point after two fittings can be obtained, and then the elevation point coordinate data of the second observation point is divided into three columns of a, b, and c. Then, the difference is taken between the c-column elevation point coordinate data of the second observation point in the later measurement and the previous measurement to generate a data column "c aerial survey observation settlement", while the a and b column data remain unchanged; finally, the three columns of data of a, b, and "c aerial survey observation settlement" are saved. Among them, the three columns of data of a, b, and "c aerial survey observation settlement" are the target aerial survey settlement data.

[0126] Furthermore, after fitting the microseismic settlement data to the target grid nodes according to the target grid spacing, the date, time, X, Y, and Z of the microseismic settlement data can be retained, and all settlement monitoring events can be sorted in the order of date and time, and the date and time columns can be deleted, leaving only X, Y, and Z, a total of three columns, and then the next settlement monitoring event (X 2 , Y 2 and Z 2 ) and the previous settlement monitoring event (X 1、 Y 1 and Z 1 ) is processed as follows: Calculate the X coordinates (X 1 and X 2 ), denoted as X 均 , where X 均 =(X 1 +X 2 ) / 2; Calculate the Y coordinates of the two settlement monitoring events (Y 1 and Y 2 ), denoted as Y 均 , where Y 均 =(Y 1 +Y 2 ) / 2; Calculate the Z coordinates of the two settlement monitoring events (Z 1 and Z 2 ), denoted as Z 差 , where Z 差 =Z 2 -Z 1 . Save the data after operation into three columns: X 均 , Y 均 and Z 差 .

[0127] At the same time, calculate the maximum value of the "z surface observation settlement" data column max 1 and minimum value min 1 and the maximum value of the "c aerial observation settlement" data column max 2 and minimum value min 2 and "Z 差 "Maximum value of data column max 3 and minimum value min 3 , and select max 1 and max 2 The maximum value max' and min in 1 and min 2 The minimum value min' in "Z 差 The data in the column is processed as follows:

[0128] , where X 均, Y 均 and Z 差新 are the target microseismic settlement data.

[0129] Furthermore, in this application, after obtaining the target surface observation settlement data, the target aerial survey settlement data, and the target microseismic settlement data, the target surface observation settlement data, the target aerial survey settlement data, and the target microseismic settlement data can be fused to obtain fused data.

[0130] It should be noted that the target surface observation settlement data, the target aerial survey settlement data, and the target microseismic settlement data can be placed in a file. Since the X and Y in the target surface observation settlement data, the target aerial survey settlement data, and the target microseismic settlement data are the same, the data can be named "X, Y, Z 融合 ", and then the Z 融合 data is weighted, where the weight coefficient can be determined according to the actual situation. For example, Z 融合 = 0.5 × target surface observation settlement data + 0.3 × target aerial survey settlement data + 0.2 × target microseismic settlement data. As Figure 11 shown, "X, Y, Z 融合 " is the fused data.

[0131] Furthermore, in this application, after obtaining the fused data, a risk assessment result for any mining area to be monitored can be obtained according to the fused data.

[0132] As a possible implementation method, as Figure 12 shown, on the basis of the above embodiment, the specific process of obtaining the risk assessment result for any mining area to be monitored according to the fused data in step S104 includes the following steps:

[0133] S1201. Divide any mining area to be monitored into at least one sub-region according to the fused data.

[0134] In the embodiment of this application, after obtaining the fused data, any mining area to be monitored can be divided into at least one sub-region.

[0135] For example, after obtaining the fused data, the surfer software can be used to obtain the settlement isogram of the surveyed area, and the area of the mining area to be monitored with a settlement value greater than 0 in the settlement isogram is divided into the surface uplift area.

[0136] S1202. Obtain the risk level corresponding to each sub-region, and color the corresponding sub-region according to the risk level to obtain the risk assessment result.

[0137] In the embodiments of the present application, the risk level corresponding to each sub-region can be obtained, and the corresponding sub-region can be colored according to the risk level to obtain the risk assessment result.

[0138] For example, as Figure 13 shown, if there is unmined solid coal below the surface uplift area, the corresponding unmined coal seam is considered the rockburst risk area of the mining area to be monitored. If there is a mined goaf below the surface uplift area, this area is not the rockburst risk area of the mining area to be monitored.

[0139] The mining area risk assessment method provided by the present application has simple and reasonable steps, clear and reliable results, can assess the rockburst risk of the coal body in a certain period of the mining area, and provides guidance for the layout of subsequent underground coal mining operations.

[0140] Figure 14 It is a schematic flow diagram of a mining area risk assessment for another embodiment disclosed in the present application.

[0141] As Figure 14 shown, the bridge surrounding environment evaluation method proposed in the embodiments of the present application specifically includes the following steps:

[0142] S1401. Obtain the first observation interval and the layout strategy for any first observation point within any area to be monitored.

[0143] S1402. Perform at least two settlement monitoring operations on each first observation point according to the first observation interval and the layout strategy for the first observation point.

[0144] S1403. Obtain the first settlement monitoring data for any two times for the first observation point, and obtain the surface observation settlement data according to the first settlement monitoring data, where the surface observation settlement data includes the elevation value of each first observation point.

[0145] S1404. Obtain the second observation interval.

[0146] S1405. Perform at least two settlement monitoring operations on any area to be monitored according to the second observation interval.

[0147] S1406. Obtain the second settlement monitoring data corresponding to any two settlement monitoring operations, and obtain the aerial survey settlement data according to the second settlement monitoring data, where the aerial survey settlement data includes the second observation points to be monitored and the elevation value of each second observation point.

[0148] S1407. Obtain the third observation interval.

[0149] S1408. Perform at least two settlement monitoring operations on any area to be monitored according to the third observation interval.

[0150] S1409. Obtain the third settlement monitoring data corresponding to any two settlement monitoring operations, and obtain microseismic settlement data based on the third settlement monitoring data. The microseismic settlement data includes the settlement monitoring events corresponding to each settlement monitoring operation and the description information of the settlement monitoring events.

[0151] S1410. Obtain the target grid nodes.

[0152] S1411. Determine the target grid spacing between the abscissa and the ordinate according to the target grid nodes.

[0153] S1412. Fit the surface observation settlement data, aerial survey settlement data, and microseismic settlement data to the target grid nodes to obtain the target surface observation settlement data, target aerial survey settlement data, and target microseismic settlement data.

[0154] S1413. Perform weighted processing on the target surface observation settlement data, target aerial survey settlement data, and target microseismic settlement data, and use the weighted result as the fusion data.

[0155] S1414. Divide any mining area to be monitored into at least one sub-region according to the fusion data.

[0156] S1415. Obtain the risk level corresponding to each sub-region, and color the corresponding sub-region according to the risk level to obtain the risk assessment result.

[0157] It should be noted that the surface observation settlement data, aerial survey settlement data, and microseismic settlement data can be processed using a variety of software, such as Excel, Matlab, etc. Taking Excel as an example, as Figure 15 shown, first obtain the single aerial survey CAD data of the unmanned aerial vehicle and the microseismic EXCEL data during the observation period. Secondly, perform subtraction operation on the surface leveling or RTK single observation EXCEL data, the single aerial survey EXCEL data of the unmanned aerial vehicle, and the microseismic raw data and import them into the Surfer software to generate a grid file. Obtain the elevation difference coordinate file of the two surface observations according to the single fitted surface observation elevation point coordinate file, and obtain the elevation difference coordinate file of the two unmanned aerial vehicle aerial surveys according to the single fitted aerial survey elevation point coordinate file, and obtain the microseismic height difference coordinate file during the observation period. Then perform weighted operation on the well-ground-air observation data and import it into Surfer to generate a grid file, generate a settlement isoline cloud map based on the grid file, and finally evaluate the impact hazard area.

[0158] Thus, this application realizes the fusion processing of the surface observation settlement data, aerial survey settlement data, and microseismic settlement data to obtain the surface movement trend of a large area of the mining area during a certain period and a clear and intuitive risk assessment result, which can provide guidance for the layout of subsequent underground coal mining operations.

[0159] To implement the above embodiments, this embodiment provides a device for assessing the danger of a mining area. Figure 16 It is a schematic structural diagram of a device for assessing the danger of a mining area provided by an embodiment of the present application.

[0160] As Figure 16 shown, the device 1000 for assessing the danger of a mining area includes: a first acquisition module 110, a second acquisition module 120, a fusion module 130, and a third acquisition module 140. Among them,

[0161] The first acquisition module 110 is used to perform settlement monitoring on any mining area to be monitored by using leveling measurement technology and / or real-time kinematic differential positioning RTK technology to obtain surface observation settlement data, using an unmanned aerial vehicle for settlement monitoring to obtain aerial survey settlement data, and using a microseismic detector for settlement monitoring to obtain microseismic settlement data;

[0162] The second acquisition module 120 is used to fit the surface observation settlement data, the aerial survey settlement data, and the microseismic settlement data to obtain target surface observation settlement data, target aerial survey settlement data, and target microseismic settlement data, where the target surface observation settlement data, the target aerial survey settlement data, and the target microseismic settlement data are all data for the same location;

[0163] The fusion module 130 is used to fuse the target surface observation settlement data, the target aerial survey settlement data, and the target microseismic settlement data to obtain fusion data;

[0164] The third acquisition module 140 is used to obtain a danger assessment result for any mining area to be monitored according to the fusion data.

[0165] According to an embodiment of the present application, the first acquisition module 110 is further used to: obtain a first observation interval and a layout strategy for a first observation point within any mining area to be monitored; according to the first observation interval and the layout strategy for the first observation point, perform at least two settlement monitoring operations on each first observation point; obtain first settlement monitoring data for any two times for the first observation point, and according to the first settlement monitoring data, obtain the surface observation settlement data, where the surface observation settlement data includes the elevation value of each first observation point.

[0166] According to an embodiment of the present application, the first acquisition module 110 is further configured to: acquire a second observation interval; perform at least two settlement monitoring operations on any of the to-be-monitored areas according to the second observation interval; acquire second settlement monitoring data corresponding to any two settlement monitoring operations, and acquire the aerial survey settlement data according to the second settlement monitoring data, where the aerial survey settlement data includes the second observation points to be monitored and the elevation values of each of the second observation points.

[0167] According to an embodiment of the present application, the first acquisition module 110 is further configured to: acquire a third observation interval; perform at least two settlement monitoring operations on any of the to-be-monitored areas according to the third observation interval; acquire third settlement monitoring data corresponding to any two settlement monitoring operations, and acquire the microseismic settlement data according to the third settlement monitoring data, where the microseismic settlement data includes the settlement monitoring events corresponding to each settlement monitoring operation and the description information of the settlement monitoring events.

[0168] According to an embodiment of the present application, the second acquisition module 120 is further configured to: acquire target grid nodes; fit the surface observation settlement data, the aerial survey settlement data, and the microseismic settlement data to the target grid nodes to acquire target surface observation settlement data, target aerial survey settlement data, and target microseismic settlement data.

[0169] According to an embodiment of the present application, the second acquisition module 120 is further configured to: determine a target grid spacing between the abscissa and the ordinate according to the target grid nodes; and fit the surface observation settlement data, the aerial survey settlement data, and the microseismic settlement data to the target grid nodes according to the target grid spacing.

[0170] According to an embodiment of the present application, the fusion module 130 is further configured to: perform weighted processing on the target surface observation settlement data, the target aerial survey settlement data, and the target microseismic settlement data, and use the weighted result as the fusion data.

[0171] According to an embodiment of the present application, the third acquisition module 140 is further configured to: divide any of the to-be-monitored mining areas into at least one sub-area according to the fusion data; acquire the risk level corresponding to each sub-area, and color the corresponding sub-area according to the risk level to obtain the risk assessment result.

[0172] According to the mine area hazard assessment device provided by the present application, for any mine area to be monitored, the leveling measurement technology and / or the real-time kinematic differential positioning RTK technology are used for settlement monitoring to obtain surface observation settlement data, an unmanned aerial vehicle is used for settlement monitoring to obtain aerial survey settlement data, and a microseismic detector is used for settlement monitoring to obtain microseismic settlement data. Secondly, the surface observation settlement data, the aerial survey settlement data, and the microseismic settlement data are fitted to obtain target surface observation settlement data, target aerial survey settlement data, and target microseismic settlement data. Then, the target surface observation settlement data, the target aerial survey settlement data, and the target microseismic settlement data are fused to obtain fused data. Finally, according to the fused data, a hazard assessment result for any mine area to be monitored is obtained. Thus, the present application solves the technical problem that multiple observation means cannot directly calculate the settlement amount at the same position (with the same planar coordinates) of any mine area to be monitored. By fitting the data obtained by multiple observation means to obtain fused data, the hazard assessment of coal body impact in any mine area to be monitored is realized efficiently and reliably, providing guidance for the layout of subsequent underground coal mining operations.

[0173] To implement the above embodiments, the present application also proposes an electronic device 3000, as Figure 17 shown, including a memory 310, a processor 320, and a computer program stored on the memory 310 and executable on the processor 320. When the processor executes the program, the foregoing mine area hazard assessment method is implemented.

[0174] To implement the above embodiments, the present application also proposes a non-transitory computer-readable storage medium, on which a computer program is stored. When the program is executed by a processor, the foregoing mine area hazard assessment method is implemented.

[0175] To implement the above embodiments, the present application also proposes a computer program product, including a computer program, which when executed by a processor, implements the mine area hazard assessment method as described above.

[0176] It should be understood that various forms of the processes shown above can be used, steps can be reordered, added, or deleted. For example, the steps described in the present application can be executed in parallel, sequentially, or in a different order, as long as the desired results of the technical solutions disclosed in the present application can be achieved. No limitations are imposed herein.

[0177] The above specific embodiments do not constitute a limitation on the protection scope of the present application. Those skilled in the art should understand that various modifications, combinations, sub-combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles disclosed in the present application shall be included within the protection scope of the present application.

Claims

1. A method for assessing the risk of a mining area, characterized in that, it includes: For any mining area to be monitored, the leveling measurement technology and / or the real-time kinematic differential positioning RTK technology are used for settlement monitoring to obtain surface observation settlement data, an unmanned aerial vehicle is used for settlement monitoring to obtain aerial survey settlement data, and a microseismic detector is used for settlement monitoring to obtain microseismic settlement data; Use the Surfer software to obtain the target grid nodes, determine the target grid spacing between the abscissa and the ordinate according to the target grid nodes, and fit the surface observation settlement data, the aerial survey settlement data, and the microseismic settlement data to the target grid nodes according to the target grid spacing, so as to obtain the target surface observation settlement data, the target aerial survey settlement data, and the target microseismic settlement data of the data at the same location. Among them, after fitting the surface observation settlement data to the target grid nodes, obtain the elevation point coordinate data of the first observation point after two fittings, divide the elevation point coordinate data of the first observation point into three columns of x, y, and z, and then subtract the elevation point coordinate data of the z-column first observation point of the latter measurement from the former measurement to generate a data column of "z surface observation settlement", and the x and y column data remain unchanged. Take the three columns of data of x, y, and "z surface observation settlement" as the target surface observation settlement data; after fitting the aerial survey settlement data to the target grid nodes, obtain the elevation point coordinate data of the second observation point after two fittings, and finally divide the elevation point coordinate data of the second observation point into three columns of a, b, and c, and then subtract the elevation point coordinate data of the c-column second observation point of the latter measurement from the former measurement to generate a data column of "c aerial survey observation settlement", and finally take the three columns of data of a, b, and "c aerial survey observation settlement" as the target aerial survey settlement data; after fitting the microseismic settlement data to the target grid nodes, retain the date, time, X, Y, and Z of the microseismic settlement data, sort all settlement monitoring events in the order of the date and time, delete the date and time columns, then average the X and Y of the latter settlement monitoring event and the former settlement monitoring event, and subtract the Z of the latter settlement monitoring event from the former settlement monitoring event. Denote the calculated data as X 均 , Y 均 and Z 差 , and at the same time, calculate the maximum value max 1 and the minimum value min 1 of the "z surface observation settlement" data column and the maximum value max 2 and the minimum value min 2 of the "c aerial survey observation settlement" data column, as well as the maximum value max 3 and the minimum value min 3 of the "Z difference" data column, and select the maximum value max' of max 1 and max 2 and the minimum value min' of min 1 and min 2 , and perform the following processing on the data column of "Z 差 ": , and take X 均 , Y 均 and Z 差新 As the target microseismic settlement data; Fuse the target surface observation settlement data, the target aerial survey settlement data, and the target microseismic settlement data to obtain fusion data, wherein, the third column of the target surface observation settlement data, the target aerial survey settlement data, and the target microseismic settlement data is weighted, and the weighted result is used as the fusion data; According to the fusion data, obtain the risk assessment result for any mining area to be monitored.

2. The method for assessing the risk of a mining area according to claim 1, characterized in that, The use of the leveling measurement technology and / or the real-time kinematic differential positioning RTK technology for settlement monitoring to obtain surface observation settlement data includes: Obtain the first observation interval and the layout strategy for the first observation point within any mining area to be monitored; According to the first observation interval and the layout strategy for the first observation point, perform at least two settlement monitoring on each of the first observation points; Obtain the first settlement monitoring data for any two times for the first observation point, and according to the first settlement monitoring data, obtain the surface observation settlement data, wherein the surface observation settlement data includes the elevation value of each of the first observation points.

3. The method for assessing the risk of a mining area according to claim 1, characterized in that, The use of an unmanned aerial vehicle for settlement monitoring to obtain aerial survey settlement data includes: Obtain the second observation interval; According to the second observation interval, perform at least two settlement monitoring on any mining area to be monitored; Obtain the second settlement monitoring data corresponding to any two settlement monitoring, and according to the second settlement monitoring data, obtain the aerial survey settlement data, wherein the aerial survey settlement data includes the second observation points to be monitored and the elevation value of each of the second observation points.

4. The method for assessing the risk of a mining area according to claim 1, characterized in that, The use of a microseismic detector for settlement monitoring to obtain microseismic settlement data includes: Obtain the third observation interval; According to the third observation interval, perform at least two settlement monitoring on any mining area to be monitored; Obtain the third settlement monitoring data corresponding to any two settlement monitoring, and according to the third settlement monitoring data, obtain the microseismic settlement data, wherein the microseismic settlement data includes the settlement monitoring events corresponding to each settlement monitoring and the description information of the settlement monitoring events.

5. The method for assessing the risk of a mining area according to claim 1, characterized in that, The obtaining of the risk assessment result for any mining area to be monitored according to the fusion data includes: According to the fusion data, divide any mining area to be monitored into at least one sub-region; Obtain the risk level corresponding to each of the sub-regions, and color the corresponding sub-regions according to the risk level to obtain the risk assessment result.

6. A device for risk assessment of a mining area, comprising: A first acquisition module, configured to perform settlement monitoring on any mining area to be monitored by using a leveling measurement technique and / or a real-time kinematic differential positioning RTK technique to obtain surface observation settlement data, using an unmanned aerial vehicle for settlement monitoring to obtain aerial survey settlement data, and using a microseismic detector for settlement monitoring to obtain microseismic settlement data; The second acquisition module is used to acquire the target grid node using the Surfer software, determine the target grid spacing between the horizontal coordinate and the vertical coordinate according to the target grid node, and fit the surface observation settlement data, the aerial survey settlement data and the microseismic settlement data to the target grid node according to the target grid spacing to acquire the target surface observation settlement data, the target aerial survey settlement data and the target microseismic settlement data of the data at the same position, wherein, after fitting the surface observation settlement data to the target grid node, the elevation point coordinate data of the first observation point after two fittings is acquired, the elevation point coordinate data of the first observation point is divided into three columns of x, y and z, and then the elevation point coordinate data of the first observation point in the z column of the latter measurement is subtracted from the elevation point coordinate data of the first observation point in the previous measurement to generate a data column as "z surface observation settlement", the data in the x and y columns remain unchanged, and the three columns of x, y and "z surface observation settlement" are used as the target surface Observe settlement data; after fitting the aerial survey settlement data to the target grid node, obtain the elevation point coordinate data of the second observation point after two fittings, and finally divide the elevation point coordinate data of the second observation point into three columns of a, b, and c, and then make a difference between the elevation point coordinate data of the second observation point in the c column of the latter measurement and the former measurement, generate a data column as "c aerial survey observation settlement", and finally use the three columns of data a, b and "c aerial survey observation settlement" as the target aerial survey settlement data; after fitting the microseismic settlement data to the target grid node, retain the date, time, X, Y, and Z of the microseismic settlement data, sort all settlement monitoring events according to the order of the date and the time, delete the date and time columns, and then average the X and Y of the latter settlement monitoring event and the former settlement monitoring event, and make a difference between the latter settlement monitoring event and the former settlement monitoring event Z, and record the data after the operation as X 均 , Y 均 and Z 差 At the same time, calculate the maximum value of the "z surface observation settlement" data column max 1 and minimum value min 1 and the maximum value of the "c aerial observation settlement" data column max 2 and minimum value min 2 And the maximum value of the "Z difference" data column max 3 and minimum value min 3 , and select max 1 and max 2 The maximum value max' and min in 1 and min 2 The minimum value min' in the "Z difference" column is processed as follows: , X 均 , Y 均 and Z 差新 as the target microseismic settlement data; A fusion module, configured to fuse the target surface observation settlement data, the target aerial survey settlement data, and the target microseismic settlement data to obtain fusion data, wherein, perform weighted processing on the third columns of the target surface observation settlement data, the target aerial survey settlement data, and the target microseismic settlement data, and use the weighted result as the fusion data; A third acquisition module, configured to obtain a risk assessment result for any mining area to be monitored according to the fusion data.

7. An electronic device, characterized in that it comprises: A memory, a processor, and a computer program stored on the memory and executable on the processor, and when the processor executes the program, it implements the mining area risk assessment method according to any one of claims 1-5.

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