High-position dangerous rock structure identification and stability evaluation method

Abstract

The invention relates to a high-position dangerous rock structure identification and stability evaluation method, and belongs to the technical field of geological disaster prevention and control. The method comprises the following steps: carrying out rough mode orthoimage data acquisition on a measurement area by adopting an unmanned aerial vehicle orthographic method to obtain structural information of a shot target, and generating an initial terrain of the measurement area; planning a route of the unmanned aerial vehicle close to the initial terrain of the measurement area; the unmanned aerial vehicle executes a corresponding route task to collect image data and positioning parameters of a measurement area, and then a high-precision three-dimensional model of the measurement area is constructed; characteristic parameters of the high-position dangerous rock mass are obtained; the structural plane occurrence of the high-position dangerous rock mass is calculated through a space three-point method; according to the high-position dangerous rock stability grading standard, the stability of the high-position dangerous rock body is evaluated; and carrying out superposition processing by utilizing ARCGIS software to generate a stability partition map of the measurement area. According to the method, the problems of high investigation difficulty, low stability evaluation efficiency, small application scale and the like of the high-position dangerous rock in the prior art are solved, and detailed basic data support is provided for disaster fortification for geological disaster control.

Description

Technical Field

[0001] The present invention belongs to the technical field of geological disaster prevention and control, and particularly relates to a method for identifying the structure of high-position dangerous rocks and evaluating their stability. Background Art

[0002] High-position dangerous rocks generally exist in high-steep slope areas, and have the characteristics of extremely sudden outbursts, diverse disaster-forming modes, great harmfulness, and great difficulty in disaster prevention and mitigation. Dangerous rock masses are generally strongly weathered, with developed structural planes and tectonic joints. Under adverse factors such as rainfall and earthquakes, local or overall collapses occur, which is a common geological disaster. In the southwestern mountainous areas of China, there are a large number of high-position dangerous rocks. The disasters produce a large number of falling rocks, whose movement trajectories are complex, speeds are extremely fast, impact forces are large, and impact energies are large, posing great potential hazards to people's living and production and engineering facilities.

[0003] The identification and analysis of dangerous rocks mostly adopt the method of on-site manual investigation. However, the location of high-position dangerous rocks is extremely high and steep, and the on-site manual investigation operation is extremely difficult and dangerous. Conventional exploration methods are difficult to implement, and it is difficult to master the structural characteristics, geometric characteristics, and spatial characteristics of high-position dangerous rocks, and it is difficult to judge their stable states. With the popularization and application of small unmanned aerial vehicles (UAVs), fast, effective, and safe mapping and identification means have been enriched. Currently, the UAV oblique photography technology adopted conducts the stability analysis of dangerous rock masses through data acquisition and establishing a digital surface three-dimensional model. For the stability of single or a few dangerous rock masses, a relatively accurate evaluation can be obtained. However, for high-position dangerous rocks with a large distribution range and a large number, it is difficult to quickly and relatively accurately judge their stability, making the problem of disaster prevention and mitigation of high-position dangerous rocks increasingly prominent.

[0004] Therefore, how to overcome the deficiencies of the existing technology is an urgent problem to be solved in the current technical field of geological disaster prevention and control. Summary of the Invention

[0005] The purpose of the present invention is to solve the deficiencies of the existing technology and provide a method for identifying the structure of high-position dangerous rocks and evaluating their stability.

[0006] To achieve the above purpose, the technical solution adopted by the present invention is as follows: A method for identifying the structure of high-position dangerous rocks and evaluating their stability includes the following steps: S1. Determine the measurement area, and use the UAV orthophoto method to collect rough orthophoto image data of the measurement area to obtain the structural information of the photographed target, thereby generating the initial terrain of the measurement area; S2. According to the initial point cloud data of the initial terrain of the measurement area obtained in S1, plan the flight path of the UAV close to the initial terrain of the measurement area; S3. According to the flight path close to the initial terrain of the measurement area obtained in S2, the UAV executes the corresponding flight path task to collect image data and the positioning parameters of the measurement area; S4. Using the image data collected in S3 and the positioning parameters of the measurement area, a high-precision three-dimensional model of the measurement area is constructed using 3D modeling software. S5. Based on the high-precision real-scene three-dimensional model of the measurement area constructed in S4, characteristic parameters of the high-position dangerous rock mass are obtained. S6. Based on the characteristic parameters of the high-position dangerous rock mass obtained in S5, the attitude of the structural plane of the high-position dangerous rock mass is calculated using the spatial three-point method. S7. Using the stereographic projection method, the dip α and dip angle β of the main control structural plane are obtained. S8. Based on the high-precision three-dimensional model of the measurement area constructed in S4, a high-precision digital elevation model (DEM) is extracted, and using ARCGIS software for overlay processing, a stability zoning map of the measurement area is generated.

[0007] Furthermore, preferably, in step S1, the orthophoto method of an unmanned aerial vehicle is used to collect the orthophoto image data of the rough model of the measurement area, and then the initial point cloud data of the measurement area is generated using aerial triangulation processing software, thereby generating the initial terrain of the measurement area.

[0008] Furthermore, preferably, in step S2, the parameters of the flight line include flight altitude, overlap degree, and shooting angle.

[0009] Furthermore, preferably, in step S4, the image data and the RTK positioning parameter file are imported into the 3D modeling software, and then the 3D model is constructed, thereby obtaining the high-precision real-scene three-dimensional model of the measurement area; the 3D modeling software is CC or DJI Terra.

[0010] Furthermore, preferably, step S5 is specifically: Based on the high-precision real-scene three-dimensional model of the measurement area constructed in S4, the scale and distribution range of the high-position dangerous rock mass are identified, and the characteristic parameters of the high-position dangerous rock mass are obtained. The characteristic parameters of the high-position dangerous rock mass include lithology, geometric characteristics, the combined relationship of free faces, and structural planes; the geometric characteristics include length, width, shape, and internal friction angle. .

[0011] Furthermore, preferably, in step S7, the stereographic projection method is used to obtain the dip and dip angle of the intersection line of the structural planes, make the equal-density map of the poles of the main control structural plane of the high-position dangerous rock mass and the dip rose diagram, analyze the attitude of the main control structural plane affecting the stability of the dangerous rock mass, and obtain the dip α and dip angle β of the main control structural plane.

[0012] Furthermore, preferably, the specific method of step S8 is: Through ARCGIS software, the slope aspect n and slope angle m are accurately statistically analyzed, the stability grading standard of the high-position dangerous rock is overlaid, and stability grading and zoning are carried out to generate the stability zoning map of the measurement area. The stability classification standard for high - level dangerous rocks overlaid by ARCGIS is as follows: Based on the slope aspect n and slope angle m of the high - level dangerous rock mass, the dip direction α and dip angle β of the main control structural plane, and the internal friction angle of the rock and soil mass The relationship between them is used to judge the stability of the high - level dangerous rock mass, and it is judged into four stability states: stable, basically stable, sub - stable and unstable; If α≤n - 60° or α≥n + 60°, the high - level dangerous rock mass is judged as a stable state partition; If n - 60°<α<n + 60° and m≤β≤ The high - level dangerous rock mass is judged as a basically stable state partition; If n - 60°<α<n + 60° and <m≤β, or if n - 60°<α<n + 60° and β<m, β≤ The high - level dangerous rock mass is judged as a sub - stable state partition; If n - 60°<α<n + 60° and <β<m, the high - level dangerous rock mass is judged as an unstable state partition.

[0013] Furthermore, preferably, for the generated stability partition map of the surveyed area, different stability partitions are displayed in different colors. Stable is green, sub - stable is yellow, basically stable is orange, and unstable is red.

[0014] The present invention provides a method for identifying the structure of high - level dangerous rocks and evaluating their stability, which uses a variety of technical means such as close - range photogrammetry, spatial three - point coordinates, stereographic projection, and the ARCGIS platform, mainly solving the problems in the prior art such as the high difficulty, low efficiency, and small scale of identifying high - level dangerous rocks and evaluating their stability.

[0015] Based on the auxiliary investigation of the unmanned aerial vehicle (UAV) close - range photogrammetry technology, spatial three - point coordinates, stereographic projection technology methods, combined with a variety of technical means such as the ARCGIS overlay technology, the present invention improves the identification efficiency of large - scale high - level dangerous rock masses, realizes the rapid identification of the scale and distribution range of high - level dangerous rocks, can quickly and accurately master the characteristic information of high - level dangerous rocks in the entire surveyed area, comprehensively considers information such as the structural characteristics, mechanical properties of high - level dangerous rock masses, etc., realizes the stability evaluation of high - level dangerous rock masses in the surveyed area, and provides a stability partition map, which intuitively shows the stable state of high - level dangerous rocks in the surveyed area. The present invention makes up for the problems in the prior art such as the high difficulty of investigating high - level dangerous rocks, low efficiency of stability evaluation, and small applicable scale, and provides detailed basic data support for "preventing disasters according to disasters" in geological disaster control. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 It is a schematic flow chart of the method for identifying the structure of high - level dangerous rocks and evaluating their stability of the present invention; Figure 2 Schematic diagram of the stability evaluation process for the application example of the present invention; Figure 3 Partition map of the stability of the surveyed area for the application example of the present invention. Specific implementation manners

[0017] The present invention will be further described in detail below in conjunction with the embodiments.

[0018] Those skilled in the art will understand that the following embodiments are only used to illustrate the present invention and should not be construed as limiting the scope of the present invention. For those not specified in the embodiments regarding specific technologies or conditions, they shall be carried out according to the technologies or conditions described in the literature in this field or according to the product specifications. For those materials or equipment without indicating the manufacturer, they are all conventional products that can be obtained by purchase. Embodiment 1

[0019] As Figure 1 shown, a method for identifying the structure of high-position dangerous rocks and evaluating their stability includes the following steps: S1. Determine the measurement area, and use the orthophoto method of an unmanned aerial vehicle (UAV) to collect coarse-mode orthophoto image data of the measurement area to obtain the structural information of the photographed target, thereby generating the initial terrain of the surveyed area; S2. According to the initial point cloud data of the initial terrain of the surveyed area obtained in S1, plan the flight path of the UAV close to the initial terrain of the surveyed area; S3. According to the flight path close to the initial terrain of the surveyed area obtained in S2, the UAV executes the corresponding flight path task to collect image data and the positioning parameters of the measurement area; S4. Utilize the image data collected in S3 and the positioning parameters of the measurement area, and use 3D modeling software to construct a high-precision 3D model of the measurement area; S5. Based on the high-precision real-scene 3D model of the measurement area constructed in S4, obtain the characteristic parameters of the high-position dangerous rock mass; S6. Based on the characteristic parameters of the high-position dangerous rock mass obtained in S5, use the spatial three-point method to calculate the attitude of the structural plane of the high-position dangerous rock mass; S7. Adopt the stereographic projection method to obtain the dip direction α and dip angle β of the main control structural plane; S8. Based on the high-precision 3D model of the measurement area constructed in S4, extract the high-precision digital elevation model, and use ARCGIS software for overlay processing to generate the partition map of the stability of the surveyed area. Embodiment 2

[0020] As Figure 1 shown, a method for identifying the structure of high-position dangerous rocks and evaluating their stability includes the following steps: S1. Determine the measurement area, and use the orthophoto method of unmanned aerial vehicle (UAV) to collect rough orthophoto image data of the measurement area to obtain the structural information of the photographed target, so as to generate the initial terrain of the measurement area. S2. According to the initial point cloud data of the initial terrain of the measurement area obtained in S1, plan the flight path of the UAV close to the initial terrain of the measurement area. S3. According to the flight path close to the initial terrain of the measurement area obtained in S2, the UAV executes the corresponding flight path tasks to collect image data and the positioning parameters of the measurement area. S4. Use the image data collected in S3 and the positioning parameters of the measurement area, and adopt 3D modeling software to construct a high-precision 3D model of the measurement area. S5. Based on the high-precision real-scene 3D model of the measurement area constructed in S4, obtain the characteristic parameters of the high-position dangerous rock mass. S6. Based on the characteristic parameters of the high-position dangerous rock mass obtained in S5, use the spatial three-point method to calculate the attitude of the structural plane of the high-position dangerous rock mass. S7. Adopt the stereographic projection method to obtain the dip α and dip angle β of the main control structural plane. S8. Based on the high-precision 3D model of the measurement area constructed in S4, extract the high-precision digital elevation model, and use ARCGIS software for overlay processing to generate the stability zoning map of the measurement area.

[0021] In step S1, use the orthophoto method of UAV to collect rough orthophoto image data of the measurement area, and then use aerial triangulation processing software to generate the initial point cloud data of the measurement area, so as to generate the initial terrain of the measurement area.

[0022] In step S2, the parameters of the flight path include flight altitude, overlap degree and shooting angle.

[0023] In step S4, import the image data and RTK positioning parameter file into the 3D modeling software, and then perform 3D model construction to obtain a high-precision real-scene 3D model of the measurement area; the 3D modeling software is CC or DJI Zhitu.

[0024] Step S5 is specifically as follows: Based on the high-precision real-scene 3D model of the measurement area constructed in S4, identify the scale and distribution range of the high-position dangerous rock mass, and obtain the characteristic parameters of the high-position dangerous rock mass The characteristic parameters of the high-position dangerous rock mass include lithology, geometric characteristics, combination relationship of free faces and structural planes; the geometric characteristics include length, width, shape and internal friction angle 。

[0025] In step S7, adopt the stereographic projection method to obtain the dip and dip angle of the intersection line of the structural planes, make the equal-density map of the poles of the main control structural planes of the high-position dangerous rock mass and the dip rose diagram, analyze the attitude of the main control structural planes affecting the stability of the dangerous rock mass, and obtain the dip α and dip angle β of the main control structural plane.

[0026] The specific method of step S8 is as follows: Accurately statistically analyze the slope aspect n and slope angle m through ARCGIS software, overlay the stability classification standard of high-position dangerous rocks, conduct stability classification and zoning, and generate the stability zoning map of the surveyed area; The ARCGIS overlay of the stability classification standard of high-position dangerous rocks is as follows: Based on the slope aspect n and slope angle m of the slope where the high-position dangerous rock mass is located, the dip α and dip angle β of the main control structural plane, and the internal friction angle of the rock and soil mass of the mutual relationship, judge the stability of the high-position dangerous rock mass, and judge it as four stable states: stable, basically stable, sub-stable and unstable; If α ≤ n - 60°, or α ≥ n + 60°, judge the high-position dangerous rock mass as a stable state zoning; If n - 60° < α < n + 60°, and m ≤ β ≤ , judge the high-position dangerous rock mass as a basically stable state zoning; If n - 60° < α < n + 60°, and < m ≤ β, or if n - 60° < α < n + 60°, and β < m, β ≤ ; judge the high-position dangerous rock mass as a sub-stable state zoning; If n - 60° < α < n + 60°, and < β < m; judge the high-position dangerous rock mass as an unstable state zoning.

[0027] For the generated stability zoning map of the surveyed area, different stability zones are displayed in different colors, green for stable, yellow for sub-stable, orange for basically stable, and red for unstable.

[0028] Application example

[0029] Referring to Figure 1 , taking the high-position dangerous rock mass on the right bank of Yizhong River in Deqin County, Diqing Prefecture as an example, a method for identifying the structure and evaluating the stability of high-position dangerous rocks includes the following steps: S1. Determine the measurement area, use the orthophoto method of UAV to collect the rough orthophoto image data of the measurement area to obtain the structural information of the photographed target, and use aerial triangulation processing software such as DPone for the collected data to generate the initial point cloud (Las) data of the surveyed area and generate the initial terrain of the surveyed area; among them, the initial terrain coordinate system of the surveyed area in this example is WGS84 UTM 47N; S2. According to the initial point cloud data of the initial terrain of the surveyed area, plan the flight route of the UAV close to the initial terrain of the surveyed area; Specifically, introduce the Las data into the DPGO software (computer side), and use the DPGO software to plan the flight route of the drone close to the initial terrain of the survey area, including: according to the initial point cloud data of the initial terrain of the survey area, divide the regular surface, and set parameters such as its flight altitude, overlap degree, and shooting angle, plan the flight range, and generate a flight route Kml file.

[0030] Specifically, the shooting angles include: front view, left and right cross-direction, and up and down cross-direction.

[0031] In this example, the safety of the flight route is continuously improved by automatically detecting the distance of the nearest collision point through a three-dimensional view and a threshold, and checking the flight route coverage operation range close to the initial terrain of the survey area.

[0032] S3. According to the flight route close to the initial terrain of the survey area obtained in S2, the drone executes the corresponding flight route task; Specifically, import the flight route (kml file) into the DPGO software (mobile phone side), execute the flight task, and collect image data and positioning parameters of the measurement area. The positioning parameter is the RTK positioning parameter.

[0033] S4. Utilize the image data and positioning parameters of the measurement area collected in S3, and use 3D modeling software to construct a high-precision real-scene 3D model of the measurement area; Specifically, through 3D modeling software such as CC and DJI Zhitu, import the image data and RTK positioning parameter file into the 3D modeling software, and then perform 3D model construction, so as to obtain a high-precision 3D model of the measurement area, and further truly restore the terrain and landform of the high-position dangerous rock disaster point; In this example, the GSD of the high-precision 3D model is better than 1 cm.

[0034] S5. Based on the high-precision real-scene 3D model of the measurement area constructed in S4, obtain the characteristic parameters of the high-position dangerous rock mass; Specifically, according to the high-precision 3D model of the measurement area constructed in S4, quickly identify the scale and distribution range of the high-position dangerous rock mass, and obtain the characteristic parameters of the high-position dangerous rock mass such as lithology, geometric characteristics, combination relationship of free faces, and structural planes; among them, the geometric characteristics include length, width, shape, and internal friction angle ; S6. Based on the characteristic parameters of the high-position dangerous rock mass obtained in S5, use the spatial three-point method to calculate the attitude of the structural plane of the high-position dangerous rock mass; Specifically, according to the structural plane of the high-position dangerous rock mass, select three points in the space of the structural plane of the high-position dangerous rock mass according to the conventional method, and calculate the attitude information of the structural plane through the spatial three-point method.

[0035] S7. Adopt the stereographic projection method to obtain the dip α and dip angle β of the main control structural plane; Specifically, the stereographic projection method is used to obtain the dip direction and dip angle of the intersection line of structural planes, and to produce the equal-density diagram of the poles of the main control structural planes of the high-position dangerous rock mass and the dip rose diagram, so as to analyze the occurrence of the main control structural planes affecting the stability of the dangerous rock mass, and obtain the dip direction α and dip angle β of the main control structural planes.

[0036] S8. Use ARCGIS software for overlay processing, conduct stability discrimination, and generate the stability zoning map of the surveyed area; Refer to Figure 2 , the specific steps of using the ARCGIS overlay technology to discriminate the stability zoning in this example are as follows: S81. Based on the high-precision three-dimensional model of the measurement area constructed in S4, extract the high-precision digital elevation model (DEM), extract the high-precision digital elevation model (DEM) from the solid three-dimensional model, import it into the ARCGIS software, and conduct raster processing; S82. Through the ARCGIS slope and aspect tool, identify the slope aspect n and slope angle m of the high-position dangerous rock mass. In this example, the slope aspect n ranges from 113° to 293°, and the slope angle ranges from 40° to 68°.

[0037] S83. Through the spatial analysis tool, discriminate four stable states, including: overlaying the occurrence of the main control structural planes (dip direction α, dip angle β), the internal friction angle and the stability classification standard of the high-position dangerous rock mass to discriminate the stability of the high-position dangerous rock mass, and discriminate it into four stable states: stable, basically stable, sub-stable and unstable. In this example, there are three groups of main control structural planes, and the occurrences are α1 = 35°, β1 = 81°, α2 = 167°, β2 = 72°, α3 = 249°, β3 = 67°, and the internal friction angle is 60°.

[0038] Specifically, the four stable states are as follows: If α ≤ n - 60°, or α ≥ n + 60°, the high-position dangerous rock mass is discriminated as a stable state zoning; If n - 60° < α < n + 60°, and m ≤ β ≤ , the high-position dangerous rock mass is discriminated as a basically stable state zoning; If n - 60° < α < n + 60°, and < m ≤ β, or if n - 60° < α < n + 60°, and β < m, β ≤ ; the high-position dangerous rock mass is discriminated as a sub-stable state zoning; If n - 60° < α < n + 60°, and < β < m; the high-position dangerous rock mass is discriminated as an unstable state zoning.

[0039] S84. For the generated stability zoning map of the surveyed area, refer to Figure 3, different stability zones are shown in different colors, with stable being green, less stable being yellow, basically stable being orange, and unstable being red. In this example, the stability of the high-position dangerous rock mass is mainly unstable and less stable, with a small range being basically stable and stable.

[0040] The above has shown and described the basic principles, main features and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited by the above embodiments. What is described in the above embodiments and the specification only illustrates the principles of the present invention. Without departing from the spirit and scope of the present invention, the present invention will have various changes and improvements, and these changes and improvements all fall within the scope of the present invention claimed. The scope of protection claimed by the present invention is defined by the appended claims and their equivalents.

Claims

1. A method for identifying the structure of high-position dangerous rocks and evaluating their stability, characterized in that It includes the following steps: S1. Determine the measurement area, and use the orthophoto method of drones to collect rough orthophoto image data of the measurement area to obtain the structural information of the photographed target, so as to generate the initial terrain of the measurement area; S2. According to the initial point cloud data of the initial terrain of the measurement area obtained in S1, plan the flight path of the drone close to the initial terrain of the measurement area; S3. According to the flight path close to the initial terrain of the measurement area obtained in S2, the drone executes the corresponding flight path tasks to collect image data and the positioning parameters of the measurement area; S4. Use the image data and the positioning parameters of the measurement area collected in S3, and adopt 3D modeling software to construct a high-precision 3D model of the measurement area; S5. Based on the high-precision real-scene 3D model of the measurement area constructed in S4, obtain the characteristic parameters of the high-position dangerous rock mass; S6. Based on the characteristic parameters of the high-position dangerous rock mass obtained in S5, use the spatial three-point method to calculate the attitude of the structural plane of the high-position dangerous rock mass; S7. Adopt the stereographic projection method to obtain the dip α and dip angle β of the main control structural plane; S8. Based on the high-precision 3D model of the measurement area constructed in S4, extract the high-precision digital elevation model, and use the ARCGIS software for overlay processing to generate the stability zoning map of the measurement area.

2. The method for identifying high-position dangerous rock structures and evaluating their stability according to claim 1, characterized in that In step S1, use the orthophoto method of drones to collect rough orthophoto image data of the measurement area, and then use the aerial triangulation processing software to generate the initial point cloud data of the measurement area, so as to generate the initial terrain of the measurement area.

3. The method for identifying high-position dangerous rock structures and evaluating their stability according to claim 1, characterized in that, In step S2, the parameters of the flight path include flight height, overlap degree and shooting angle.

4. The method for identifying high-position dangerous rock structures and evaluating their stability according to claim 1, characterized in that In step S4, import the image data and the RTK positioning parameter file into the 3D modeling software, and then perform 3D model construction to obtain a high-precision real-scene 3D model of the measurement area; the 3D modeling software is CC or DJI Terra.

5. The method for identifying high-position dangerous rock structures and evaluating their stability according to claim 1, characterized in that, Step S5 is specifically: Based on the high-precision real-scene 3D model of the measurement area constructed in S4, identify the scale and distribution range of the high-position dangerous rock mass, and obtain the characteristic parameters of the high-position dangerous rock mass The characteristic parameters of high-position dangerous rock masses include lithology, geometric features, the combined relationship of free faces, and structural planes; the geometric features include length, width, shape, and internal friction angle .

6. The method for identifying high-position dangerous rock structures and evaluating their stability according to claim 1, characterized in that, In step S7, adopt the stereographic projection method to obtain the dip and dip angle of the intersection line of the structural plane, make the equal-density map of the poles of the main control structural plane of the high-position dangerous rock mass and the dip rose diagram, analyze the attitude of the main control structural plane affecting the stability of the dangerous rock mass, and obtain the dip α and dip angle β of the main control structural plane.

7. The method for identifying high-position dangerous rock structures and evaluating their stability according to claim 1, characterized in that, The specific method of step S8 is: Accurately statistically analyze the slope aspect n and slope angle m through the ARCGIS software, overlay the stability grading standard of the high-position dangerous rock, perform stability grading and zoning, and generate the stability zoning map of the measurement area; The ARCGIS overlay of the stability grading standard of the high-position dangerous rock is: According to the slope aspect n, slope angle m of the high-position dangerous rock mass, the dip direction α, dip angle β of the main control structural plane, and the internal friction angle of the rock and soil mass to judge the stability of the high-position dangerous rock mass, which is judged as four stability states: stable, basically stable, sub-stable and unstable; If α ≤ n - 60°, or α ≥ n + 60°, it is judged that the high-position dangerous rock mass is in the stable state zoning; If \(n - 60^{\circ}<\alpha <n + 60^{\circ}\), and \(m\leqslant\beta\leqslant\) , it is determined that the high - level dangerous rock mass is in the basically stable state area; If \(n - 60^{\circ}<\alpha <n + 60^{\circ}\), and \(<m\leqslant\beta\), or if \(n - 60^{\circ}<\alpha <n + 60^{\circ}\), and \(\beta <m\), \(\beta\leqslant\) ; Determine that the high - level dangerous rock mass is in the sub - area of unstable state; If \(n - 60^{\circ}<\alpha <n + 60^{\circ}\), and \(<\beta <m\); determine that the high-position dangerous rock mass is in the unstable state partition.

8. The method for identifying the high-position dangerous rock structure and evaluating its stability according to claim 7, characterized in that, For the generated stability zoning map of the measurement area, different stability zones are displayed in different colors, green for stable, yellow for sub-stable, orange for basically stable, and red for unstable.

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