A three-dimensional modeling method and system for rock slope construction

Abstract

The present invention discloses a three-dimensional modeling method and system for rock slope construction, which relates to the technical field of slope construction risk prediction. The three-dimensional model construction module provides a clear view of the construction area by dividing the slope sub-areas in detail. The visualization effect helps to enhance the risk awareness of construction personnel and improve decision-making efficiency. The first acquisition module integrates various geological data such as rock and soil properties and groundwater levels to establish a slope data set; through the combination of the first geological analysis module and the second dynamic analysis module, the system can evaluate the stability and dynamic risk of the slope in real time; in addition, the comprehensive analysis module comprehensively evaluates various risk factors through risk density values ​​and correlation tests, generates a slope comprehensive risk index Chi, and ensures the safety of the construction process; the construction risk assessment module formulates specific safety measures for different risk levels to further ensure the safety of construction personnel and equipment.

Description

Technical Field

[0001] The invention relates to the technical field of slope construction risk prediction, and in particular to a three-dimensional modeling method and system for rock slope construction. Background Art

[0002] Rock slope construction is an important part of civil engineering, involving underground engineering, transportation infrastructure, natural disaster prevention and control, etc. With the acceleration of urbanization and the increase in demand for infrastructure construction, the safety and stability of rock slopes are becoming increasingly prominent. In view of this problem, scientific and reasonable construction methods and risk assessment technologies are particularly important.

[0003] The limitations of traditional rock slope construction modeling methods in construction risk prediction are also obvious. Many existing systems rely only on historical data for risk assessment and fail to effectively consider real-time environmental changes, such as rainfall and groundwater level fluctuations, which makes it difficult for construction plans to adapt to the dynamic actual situation. Therefore, safety hazards at the construction site may gradually accumulate without being identified in time, posing a potential threat to construction safety. Secondly, traditional methods have certain limitations in construction risk prediction. Many existing systems only conduct risk assessment based on historical data and fail to effectively consider real-time changing environmental factors, such as rainfall and groundwater level changes. This static analysis makes the prediction results lack real-time performance and cannot reflect the actual risk status of the construction site in a timely manner. And there is a lack of comprehensive consideration of multiple factors such as geological data, construction loads and environmental impacts. This single data analysis makes the assessment results of construction prediction risks one-sided and unable to fully reflect the stability of the slope and the safety of construction. Summary of the invention

[0004] In view of the deficiencies of the prior art, the present invention provides a three-dimensional modeling method and system for rock slope construction to solve the problems mentioned in the background technology.

[0005] To achieve the above objectives, the present invention is implemented through the following technical solutions: a three-dimensional modeling method for rock slope construction, comprising the following steps:

[0006] Divide the construction area into several slope sub-areas, and use 3D drawing software to draw a 3D model distribution map of the rock slope in the construction area. At the same time, locate each slope sub-area and mark it with a serial number;

[0007] The geological data of each slope sub-area are collected through different channels. The geological data include rock and soil properties, stratigraphic structure and groundwater level information. The geological data are pre-processed and feature extracted to establish a slope data set.

[0008] Extract the geological features in the slope data set of the slope sub-area and analyze them to obtain the regional rock strength Qdz, friction angle φ, cohesion c and regional rock crack index Yslf; calculate and obtain the stability assessment index Wdx through the trained risk assessment model. If the stability assessment index Wdx is higher than the stability threshold F, generate the first qualified mark;

[0009] Extract the slope data set and combine the geological structure, groundwater flow and rainfall characteristics to construct the slope dynamic risk index Rbz. If the slope dynamic risk index Rbz is lower than the dynamic risk threshold D, a second qualified mark is generated.

[0010] For the slope sub-areas that obtain both the first qualified mark and the second qualified mark, a qualified area set is established, and the predetermined construction data in the qualified area set is collected to construct the construction load factor P, and the vegetation coverage rate fgl and the traffic thermal index Rlzs are associated to obtain the slope risk density value Dr by comprehensive calculation. After the correlation test is performed using the statistical analysis method, the stability assessment index Wdx, the slope dynamic risk index Rbz and the slope risk density value Dr are comprehensively analyzed to obtain the slope comprehensive risk index Chi;

[0011] A first risk threshold Th1 and a second risk threshold Th2 are set and compared with the comprehensive risk index Chi of the slope. According to different comparison results, corresponding construction safety measures are formulated.

[0012] Preferably, the specific process of dividing the construction area into a plurality of slope sub-areas is as follows:

[0013] According to the topography, geological characteristics and construction requirements, GIS is used to conduct spatial analysis and define the boundaries of the slope sub-areas;

[0014] The geological data of each slope sub-area, including rock properties, soil thickness and groundwater level, are collected through sensors, drones and field surveys. The data are pre-processed and imported into the 3D drawing software AutoCAD or SketchUp to obtain a 3D model. The electronic distribution map of the slope is added to the 3D model. The 3D model distribution map of the rock slope in the construction area is generated by fusion. Different colors and textures are used to represent different rock types and soil characteristics. Each slope sub-area is located, and the serial number marking method is used to assign labels to several slope sub-areas: Bp 1 , Bp 2 , ..., Bp n ; n represents the number of slope sub-areas.

[0015] Preferably, the process of analyzing the regional rock fracture index Yslf is as follows:

[0016] S11. Extract rock crack length characteristic data from the slope data set and calculate the average crack length using the following formula ;

[0017] , where represents the length value of the i-th crack in the rock crack length characteristic data, and m is the total number of cracks in the slope sub-area;

[0018] S12, based on the average length of cracks , combined with the rock fracture seepage characteristic data extracted from the slope data set, the fracture permeability coefficient is calculated using the following formula ;

[0019] , where Q represents the water flow through the cracks in the rock fracture seepage characteristic data, represents the total cross-sectional area of ​​the crack, Indicates the pressure difference on both sides of the crack;

[0020] S13. Extract rock crack repair feature data from the slope data set and calculate the crack repair degree coefficient using the following formula ;

[0021] , where Indicates the strength of the repaired crack in the rock crack repair characteristic data, It represents the original strength when the historical cracks were not repaired;

[0022] S14. Obtain the number of rock cracks in the sub-region , average length of cracks , Total cross-sectional area of ​​cracks , fracture permeability coefficient and crack repair degree coefficient , and the regional rock fracture index Yslf is calculated by the following formula:

[0023] , where represents the rock normal stress, Represents the total rock area of ​​the sub-region.

[0024] Preferably, the slope data set includes: rock strength Qdz, friction angle φ, cohesion c, soil layer thickness tchd, groundwater level H, real-time rainfall Jy, water flow velocity S, slope displacement value wyz, settlement value cjz and vegetation coverage fgl;

[0025] The slope dataset is cleaned, including removing outliers and filling missing data. The cleaned slope dataset is standardized based on dimensionless processing technology.

[0026] Extract regional rock strength Qdz, friction angle φ, cohesion c and regional rock crack index Yslf;

[0027] A convolutional neural network is used to construct a risk assessment model. After training and testing the risk assessment model with the slope dataset in the slope sub-area, the fused risk assessment model is obtained by combining the three-dimensional model distribution map of the rock slope in the construction area. The regional rock strength Qdz, friction angle φ, cohesion c and regional rock crack index Yslf are extracted, and the stability assessment index Wdx is calculated by the following formula:

[0028] In the formula, , , and They represent the weight coefficients of regional rock strength Qdz, friction angle φ, cohesion c and regional rock crack index Yslf, respectively. represents the first correction constant;

[0029] A stability threshold F is preset, and the stability evaluation index Wdx is compared and analyzed with the stability threshold F to determine the stability of the regional slope rock, including:

[0030] If the stability evaluation index Wdx> the stability threshold F, it means that the slope sub-area is stable and suitable for construction, and a first qualified mark is generated;

[0031] If the stability evaluation index Wdx ≤ the stability threshold F, it means that the stability of the slope sub-area is unqualified and not suitable for construction; and the first warning instruction is generated.

[0032] Preferably, after receiving the first qualified mark, the slope displacement value wyz, settlement value cjz, groundwater level H, real-time rainfall Jy, water flow velocity S and soil thickness tchd in the slope data set are extracted, and after dimensionless processing, the slope dynamic risk index Rbz is calculated by the following formula:

[0033] In the formula, The weight coefficient representing the product of the slope displacement value wyz and the settlement value cjz, , , and They represent the weight coefficients of groundwater level H, real-time rainfall Jy, water flow velocity S and soil thickness tchd respectively. represents the second correction constant;

[0034] The dynamic risk threshold D is preset, and the slope dynamic risk index Rbz is compared with the dynamic risk threshold D to determine the dynamic landslide risk of the slope sub-area, including:

[0035] If the slope dynamic risk index Rbz is less than the dynamic risk threshold D, it means that the dynamic landslide risk of the slope sub-area is normal and suitable for construction, and a second qualified mark is generated;

[0036] If the slope dynamic risk index Rbz ≥ dynamic risk threshold D, it means that the dynamic landslide risk of the slope sub-area is abnormal and not suitable for construction, and a second warning instruction is generated.

[0037] Preferably, for the slope sub-areas that simultaneously obtain the first qualified mark and the second qualified mark, a qualified area set is established, and predetermined construction data in the qualified area set is collected to construct a construction load factor P, and the construction load factor P is calculated and obtained by the following formula:

[0038] , where Indicates the total weight of building materials in the scheduled construction data, Indicates the total weight of construction equipment in the scheduled construction data. It represents the total number of construction workers in the scheduled construction data, dr represents the weight of a single construction worker, and AIMJ represents the total area of ​​the load slope sub-area.

[0039] Preferably, the process of analyzing the traffic thermal index Rlzs is as follows: collecting the pedestrian flow Pt and vehicle flow Tr in the slope sub-area, and calculating the traffic thermal index Rlzs by the following formula:

[0040] ;

[0041] in, k, k is the number of sampling frequencies, set to collect once every 10 minutes, represents the flow of people at the jth sampling node, represents the traffic flow at the jth sampling node, is the maximum threshold of the flow of people in the slope sub-area; is the maximum threshold of vehicle flow in the slope sub-area; and is the weight coefficient: , ,and ;

[0042] The construction load factor P is associated with the vegetation coverage rate fgl and the traffic thermal index Rlzs, and the slope risk density value Dr is calculated using the following formula:

[0043] ;

[0044] After the correlation test was carried out by using statistical analysis method, the stability assessment index Wdx, the slope dynamic risk index Rbz and the slope risk density value Dr were comprehensively analyzed, and the slope comprehensive risk index Chi was calculated by the following correlation formula;

[0045] ;

[0046] Among them, α, β, and γ are weight coefficients, and , , , is the correction factor, and .

[0047] Preferably, a first risk threshold Th1 and a second risk threshold Th2 are set, and the slope comprehensive risk index Chi is compared with the first risk threshold Th1 and the second risk threshold Th2 to obtain a comparison result, including:

[0048] If the slope comprehensive risk index Chi < the first risk threshold Th1, it means that the current construction load does not have construction risk for the slope sub-area;

[0049] If the first risk threshold Th1≤slope comprehensive risk index Chi≤second risk threshold Th2, it means that the current construction load has construction risk for the slope sub-area, and a first medium risk level mark is generated;

[0050] If the comprehensive risk index Chi of the slope is greater than the second risk threshold Th2, it means that the current construction load has a construction risk for the slope sub-area, and a second highest risk level mark is generated.

[0051] Preferably, generating corresponding construction safety measures according to the slope sub-areas marked with the first medium risk level and the second high risk level includes:

[0052] Generate the first construction safety measures according to the first medium risk level mark, including limiting the construction load to 80% of the preset construction load, limiting the number of construction workers to 70% of the normal number, adding 1.2 times the original design of support piles or anchor piles near the slope of the slope sub-area, increasing the buried depth of the support piles or anchor piles to 120% of the current depth, adding 20% ​​of the current steel support embedded in the crack area, and increasing the current drainage system by 20% to control the groundwater level;

[0053] Generate the second construction safety measures according to the second highest risk level mark, including limiting the construction load to 50%-60% of the preset construction load, limiting the number of construction personnel to 60% of the normal number, and adding 1.5 times the original design support piles or anchor piles near the slope of the slope sub-area construction, increasing the buried depth of the support piles or anchor piles to 150% of the current depth, adding 30% of the current steel support embedded in the crack area, and increasing the current drainage system by 30% to control the groundwater level;

[0054] For the slope sub-areas of the first and second warning instructions, construction activities are prohibited, and sandbags and anchoring materials are prepared to reinforce the slope sub-areas. After continuous monitoring, construction activities can be resumed only after the first qualified mark and the second qualified mark are obtained.

[0055] A three-dimensional modeling system for rock slope construction, comprising:

[0056] The 3D model building module is used to divide the construction area into several slope sub-areas, and use 3D drawing software to draw the 3D model distribution map of the rock slope in the construction area, and at the same time locate the position of each slope sub-area and mark it with a serial number;

[0057] The first acquisition module is used to collect geological data of each slope sub-area through different channels. The geological data includes rock and soil properties, stratum structure and groundwater level information, and pre-process and extract features of the geological data to establish a slope data set;

[0058] The first geological analysis module is used to extract and analyze the geological features in the slope data set of the slope sub-area to obtain the regional rock strength Qdz, friction angle φ, cohesion c and regional rock crack index Yslf; calculate and obtain the stability evaluation index Wdx through the trained risk assessment model, and generate a first qualified mark if the stability evaluation index Wdx is higher than the stability threshold F;

[0059] The second dynamic analysis module is used to extract the slope data set and combine the geological structure, groundwater flow and rainfall characteristics to construct the slope dynamic risk index Rbz. If the slope dynamic risk index Rbz is lower than the dynamic risk threshold D, a second qualified mark is generated;

[0060] \ Comprehensive analysis module, for the slope sub-areas that obtain the first qualified mark and the second qualified mark at the same time, establish a qualified area set, collect the predetermined construction data in the qualified area set, construct the construction load factor P, and associate the vegetation coverage rate fgl and the traffic thermal index Rlzs, and obtain the slope risk density value Dr by comprehensive calculation. After the correlation test is carried out by using the statistical analysis method, the stability assessment index Wdx, the slope dynamic risk index Rbz and the slope risk density value Dr are comprehensively analyzed to obtain the slope comprehensive risk index Chi;

[0061] The construction risk assessment module is used to set the first risk threshold Th1 and the second risk threshold Th2, and compare them with the slope comprehensive risk index Chi, and formulate corresponding construction safety measures according to different comparison results.

[0062] The present invention provides a three-dimensional modeling method and system for rock slope construction. It has the following beneficial effects:

[0063] (1) This 3D modeling method and system for rock slope construction significantly improves the assessment accuracy and real-time performance of construction prediction risks through scientific division of construction areas and systematic establishment of slope data sets. First, the slope model generated by 3D rendering software can intuitively reflect the geological characteristics of each slope sub-area, allowing the construction team to better identify potential risk sources during the planning stage. By collecting and analyzing geological data in real time, including rock and soil properties, groundwater levels, and rainfall conditions, this method can dynamically monitor changes in the construction environment and adjust the construction plan in a timely manner, thereby effectively avoiding the accumulation of safety hazards.

[0064] (2) The stability assessment index Wdx and the slope dynamic risk index Rbz used in the method, combined with multi-factor analysis, ensure a comprehensive consideration of construction risks. Compared with traditional static analysis, this comprehensive assessment method can timely reflect the stability changes of the slope and improve the scientificity and reliability of construction decisions. In addition, based on the analysis of the slope risk density value Dr, the construction load factor P and the influence of multiple factors such as the associated vegetation coverage rate fgl and the traffic thermal index Rlzs can be quantified, providing strong data support for the formulation of construction safety measures. By setting clear risk thresholds Th1 and Th2, the present invention can provide clear safety standards for the construction process, ensuring that the construction team takes corresponding safety measures at different risk levels, thereby greatly improving construction safety and efficiency and reducing the risk of accidents caused by slope instability.

[0065] (3) The regional rock crack index Yslf provides a quantitative indicator for crack risks under different geological conditions. This comprehensive evaluation system helps construction units make more scientific decisions during construction design and dynamic monitoring, thereby improving construction safety and efficiency. By comprehensively considering factors such as the weight of building materials, the weight of construction equipment, and the number of workers, the construction load factor P can accurately reflect the impact of construction activities on slope stability and provide reliable basic data for subsequent risk assessment. The calculation of the traffic thermal index Rlzs combines real-time data on pedestrian and vehicle flow, making the analysis of traffic conditions in the construction area more comprehensive, thereby effectively identifying the potential impact of traffic on slope stability. BRIEF DESCRIPTION OF THE DRAWINGS

[0066] Figure 1 A schematic diagram of the steps of a three-dimensional modeling method for rock slope construction according to the present invention;

[0067] Figure 2 The present invention is a block diagram process diagram of a three-dimensional modeling system for rock slope construction. DETAILED DESCRIPTION

[0068] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0069] Example 1

[0070] See also Figure 1 The present invention provides a three-dimensional modeling method for rock slope construction, comprising the following steps:

[0071] Divide the construction area into several slope sub-areas, and use 3D drawing software to draw a 3D model distribution map of the rock slope in the construction area. At the same time, locate each slope sub-area and mark it with a serial number;

[0072] The geological data of each slope sub-area are collected through different channels. The geological data include rock and soil properties, stratigraphic structure and groundwater level information. The geological data are pre-processed and feature extracted to establish a slope data set.

[0073] Extract the geological features in the slope data set of the slope sub-area and analyze them to obtain the regional rock strength Qdz, friction angle φ, cohesion c and regional rock crack index Yslf; calculate and obtain the stability assessment index Wdx through the trained risk assessment model. If the stability assessment index Wdx is higher than the stability threshold F, generate the first qualified mark;

[0074] Extract the slope data set and combine the geological structure, groundwater flow and rainfall characteristics to construct the slope dynamic risk index Rbz. If the slope dynamic risk index Rbz is lower than the dynamic risk threshold D, a second qualified mark is generated.

[0075] For the slope sub-areas that obtain both the first qualified mark and the second qualified mark, a qualified area set is established, and the predetermined construction data in the qualified area set is collected to construct the construction load factor P, and the vegetation coverage rate fgl and the traffic thermal index Rlzs are associated to obtain the slope risk density value Dr by comprehensive calculation. After the correlation test is performed using the statistical analysis method, the stability assessment index Wdx, the slope dynamic risk index Rbz and the slope risk density value Dr are comprehensively analyzed to obtain the slope comprehensive risk index Chi;

[0076] A first risk threshold Th1 and a second risk threshold Th2 are set and compared with the comprehensive risk index Chi of the slope. According to different comparison results, corresponding construction safety measures are formulated.

[0077] In this embodiment, the scientific division of the construction area and the systematic establishment of the slope data set significantly improve the assessment accuracy and real-time performance of the construction prediction risk. First, the slope model generated by the three-dimensional rendering software can intuitively reflect the geological characteristics of each slope sub-area, so that the construction team can better identify potential risk sources in the planning stage. By collecting and analyzing geological data in real time, including rock and soil properties, groundwater level and rainfall conditions, this method can dynamically monitor changes in the construction environment and adjust the construction plan in a timely manner, thereby effectively avoiding the accumulation of safety hazards.

[0078] The stability assessment index Wdx and slope dynamic risk index Rbz used in the method, combined with multi-factor analysis, ensure a comprehensive consideration of construction risks; compared with traditional static analysis, this comprehensive assessment method can timely reflect the stability changes of the slope, and improve the scientificity and reliability of construction decisions; in addition, based on the analysis of the slope risk density value Dr, the construction load factor P and the influence of multiple factors such as the associated vegetation coverage rate fgl and the traffic thermal index Rlzs can be quantified, providing strong data support for the formulation of construction safety measures; by setting clear risk thresholds Th1 and Th2, the present invention can provide clear safety standards for the construction process, ensure that the construction team takes corresponding safety measures at different risk levels, thereby greatly improving construction safety and efficiency, and reducing the risk of accidents caused by slope instability.

[0079] Example 2

[0080] This embodiment is explained in Example 1. Specifically, the specific process of dividing the construction area into a plurality of slope sub-areas is as follows:

[0081] According to the topography, geological characteristics and construction requirements, GIS is used to conduct spatial analysis and define the boundaries of the slope sub-areas;

[0082] The geological data of each slope sub-area, including rock properties, soil thickness and groundwater level, are collected through sensors, drones and field surveys. The data are pre-processed and imported into the 3D drawing software AutoCAD or SketchUp to obtain a 3D model. The electronic distribution map of the slope is added to the 3D model. The 3D model distribution map of the rock slope in the construction area is generated by fusion. Different colors and textures are used to represent different rock types and soil characteristics. Each slope sub-area is located, and the serial number marking method is used to assign labels to several slope sub-areas: Bp 1 , Bp 2 , ..., Bp n ; n represents the number of slope sub-areas.

[0083] In this embodiment, the GIS geographic information system is used to perform spatial analysis on the construction area, effectively dividing multiple slope sub-areas, ensuring the pertinence and accuracy of the construction plan; the electronic distribution map of the model provides a clear positioning of the slope sub-areas, and the serial number marking method is used to facilitate construction management and information exchange; this visualization effect helps to enhance the risk awareness of construction personnel and improve decision-making efficiency; in short, the establishment of a three-dimensional model provides a scientific basis for the construction process, which not only optimizes the construction design, but also enhances construction safety, laying the foundation for subsequent dynamic monitoring and risk assessment.

[0084] Example 3

[0085] This embodiment is an explanation of the embodiment 1. Specifically, the process of analyzing the regional rock fracture index Yslf is as follows:

[0086] S11. Extract rock crack length characteristic data from the slope data set and calculate the average crack length using the following formula ;

[0087] , where represents the length value of the i-th crack in the rock crack length characteristic data, and m is the total number of cracks in the slope sub-area;

[0088] S12, based on the average length of cracks , combined with the rock fracture seepage characteristic data extracted from the slope data set, the fracture permeability coefficient is calculated using the following formula ;

[0089] , where Q represents the water flow through the cracks in the rock fracture seepage characteristic data, represents the total cross-sectional area of ​​the crack, Indicates the pressure difference on both sides of the crack;

[0090] S13. Extract rock crack repair feature data from the slope data set and calculate the crack repair degree coefficient using the following formula ;

[0091] , where Indicates the strength of the repaired crack in the rock crack repair characteristic data, Indicates the original strength of historical cracks before they are repaired; if the crack repair degree coefficient If the crack depth is below the repair threshold, the crack needs to be repaired with enhanced measures, including embedded steel bars and concrete filling repairs.

[0092] S14. Obtain the number of rock cracks in the sub-region , average length of cracks , Total cross-sectional area of ​​cracks , fracture permeability coefficient and crack repair degree coefficient , and the regional rock fracture index Yslf is calculated by the following formula:

[0093] , where represents the rock normal stress, Represents the total rock area of ​​the sub-region.

[0094] The lower-level parameters in steps S11-S14 are acquired through the crack displacement sensor, water level sensor, stress sensor and image sensor. High-resolution images of the cracks are acquired using drones or fixed cameras, and the crack characteristics are analyzed through image processing.

[0095] In this embodiment, by systematically extracting and analyzing rock crack characteristic data, this method can comprehensively evaluate the crack condition of the slope and its impact on the slope stability; first, by calculating the average length of the cracks, the construction team can intuitively understand the distribution characteristics of the cracks and then identify potential weak areas; combined with the crack permeability coefficient The calculation of can evaluate the impact of water flow on cracks, provide an important basis for groundwater management, and help prevent water hazards. In addition, the analysis of the crack repair degree coefficient can reflect the effectiveness of existing repair measures and ensure that the threat of cracks to slope safety is minimized. Finally, the regional rock crack index Yslf calculated after dimensionless processing provides a quantitative indicator for crack risks under different geological conditions. This comprehensive evaluation system helps construction units make more scientific decisions during construction design and dynamic monitoring, thereby improving construction safety and efficiency.

[0096] Example 4

[0097] This embodiment is an explanation of the embodiment 1. Specifically, the slope data set includes: rock strength Qdz, friction angle φ, cohesion c, soil layer thickness tchd, groundwater level H, real-time rainfall Jy, water flow velocity S, slope displacement value wyz, settlement value cjz and vegetation coverage fgl; it is collected and acquired through rock strength sensors, soil friction angle measuring instruments, soil shear strength measuring instruments, underground radars, water level sensors, rain gauges, flow meters, displacement sensors, settlement sensors and spectral sensors.

[0098] The slope dataset is cleaned, including removing outliers and filling missing data. The cleaned slope dataset is standardized based on dimensionless processing technology.

[0099] Extract regional rock strength Qdz, friction angle φ, cohesion c and regional rock crack index Yslf;

[0100] A convolutional neural network is used to construct a risk assessment model. After training and testing the risk assessment model with the slope dataset in the slope sub-area, the fused risk assessment model is obtained by combining the three-dimensional model distribution map of the rock slope in the construction area. The regional rock strength Qdz, friction angle φ, cohesion c and regional rock crack index Yslf are extracted, and the stability assessment index Wdx is calculated by the following formula:

[0101] In the formula, , , and They represent the weight coefficients of regional rock strength Qdz, friction angle φ, cohesion c and regional rock crack index Yslf, which are adjusted and set by the user. , , , ,and . represents the first correction constant;

[0102] A stability threshold F is preset, and the stability evaluation index Wdx is compared and analyzed with the stability threshold F to determine the stability of the regional slope rock, including:

[0103] If the stability evaluation index Wdx> the stability threshold F, it means that the slope sub-area is stable and suitable for construction, and a first qualified mark is generated;

[0104] If the stability evaluation index Wdx ≤ the stability threshold F, it means that the stability of the slope sub-area is unqualified and not suitable for construction; and the first warning instruction is generated.

[0105] In this embodiment, the comprehensive processing and analysis of the slope data set significantly improves the accuracy and real-time performance of the rock slope stability assessment. The data set covers a variety of key parameters, such as rock strength, friction angle, cohesion, etc., and the reliability and consistency of the data are ensured through cleaning and standardization. In addition, the risk assessment model constructed using a convolutional neural network makes the analysis of slope stability not only based on historical data, but also combined with real-time monitoring information, thereby enhancing the accuracy of the prediction.

[0106] By calculating the stability assessment index Wdx, the safety status of the slope can be quickly determined, so that a qualified mark or early warning instruction can be generated in a timely manner; this method effectively reduces the safety risks during the construction process, ensures the safety of construction personnel and equipment, provides a scientific basis and decision-making support for slope construction, and helps to achieve safer and smarter construction management.

[0107] Example 5

[0108] This embodiment is an explanation of the embodiment 4. Specifically, after receiving the first qualified mark, the slope displacement value wyz, settlement value cjz, groundwater level H, real-time rainfall Jy, water flow velocity S and soil thickness tchd in the slope data set are extracted, and after dimensionless processing, the slope dynamic risk index Rbz is calculated by the following formula:

[0109] In the formula, The weight coefficient representing the product of the slope displacement value wyz and the settlement value cjz, , , and They represent the weight coefficients of groundwater level H, real-time rainfall Jy, water flow velocity S and soil thickness tchd, respectively, and are adjusted and set by the user. , , , , ,and . represents the second correction constant;

[0110] The dynamic risk threshold D is preset, and the slope dynamic risk index Rbz is compared with the dynamic risk threshold D to determine the dynamic landslide risk of the slope sub-area, including:

[0111] If the slope dynamic risk index Rbz is less than the dynamic risk threshold D, it means that the dynamic landslide risk of the slope sub-area is normal and suitable for construction, and a second qualified mark is generated;

[0112] If the slope dynamic risk index Rbz ≥ dynamic risk threshold D, it means that the dynamic landslide risk of the slope sub-area is abnormal and not suitable for construction, and a second warning instruction is generated.

[0113] In this embodiment, by real-time monitoring of rainfall and groundwater level changes, potential landslide risks can be quickly identified; this timely data update allows the construction team to respond quickly, adjust the construction plan, and avoid continuing operations under high-risk conditions; by setting a dynamic risk threshold, the system can issue an early warning instruction when the risk is about to reach a warning level, helping the construction unit to take preventive measures in advance, thereby effectively reducing the possibility of landslides; this dynamic risk assessment method can reflect the safety status of the construction area in real time, identify potential risk factors in a timely manner, ensure the safety of personnel and equipment during the construction process, reduce the accident rate, and reduce economic losses.

[0114] Example 6

[0115] This embodiment is an explanation of the embodiment 1. Specifically, for the slope sub-area that obtains the first qualified mark and the second qualified mark at the same time, a qualified area set is established, and predetermined construction data in the qualified area set is collected to construct a construction load factor P. The construction load factor P is calculated and obtained by the following formula:

[0116] , where Indicates the total weight of building materials in the scheduled construction data, Indicates the total weight of construction equipment in the scheduled construction data. It represents the total number of construction workers in the scheduled construction data, dr represents the weight of a single construction worker, and AIMJ represents the total area of ​​the load slope sub-area. By comprehensively considering factors such as the weight of building materials, the weight of construction equipment, and the number of workers, the construction load factor P can accurately reflect the impact of construction activities on slope stability and provide reliable basic data for subsequent risk assessment.

[0117] The process of analyzing the traffic thermal index Rlzs is as follows: collect the pedestrian flow Pt and vehicle flow Tr in the slope sub-area, and calculate the traffic thermal index Rlzs by the following formula:

[0118] ;

[0119] in, k, k is the number of sampling frequencies, set to collect once every 10 minutes, represents the flow of people at the jth sampling node, represents the traffic flow at the jth sampling node, is the maximum threshold of the flow of people in the slope sub-area; is the maximum threshold of vehicle flow in the slope sub-area; and is the weight coefficient: , ,and The calculation of the traffic thermal index Rlzs combines the real-time data of pedestrian and vehicle flows, making the analysis of traffic conditions in the construction area more comprehensive, thereby effectively identifying the potential impact of traffic on slope stability.

[0120] The construction load factor P is associated with the vegetation coverage rate fgl and the traffic thermal index Rlzs, and the slope risk density value Dr is calculated using the following formula:

[0121] ;

[0122] By associating the construction load factor P, vegetation coverage fgl and traffic thermal index, the calculation of the slope risk density value Dr achieves a more in-depth analysis of slope stability and can more accurately evaluate the impact of external factors on slope safety.

[0123] After the correlation test was carried out by using statistical analysis method, the stability assessment index Wdx, the slope dynamic risk index Rbz and the slope risk density value Dr were comprehensively analyzed, and the slope comprehensive risk index Chi was calculated by the following correlation formula;

[0124] ;

[0125] Among them, α, β, and γ are weight coefficients, and , , , is the correction factor, and .

[0126] In this embodiment, the comprehensive risk index Chi of the slope is obtained by comprehensively analyzing the stability assessment index Wdx, the dynamic risk index Rbz and the risk density value Dr; this comprehensive indicator can provide a comprehensive assessment of the safety status of the slope and provide a scientific basis for decision-making; the analysis results can help the construction team better plan and adjust the construction time and method, especially in high-risk situations, to take corresponding protective measures to ensure smooth construction.

[0127] Example 7

[0128] This embodiment is an explanation of the embodiment 6. Specifically, a first risk threshold Th1 and a second risk threshold Th2 are set, and the slope comprehensive risk index Chi is compared with the first risk threshold Th1 and the second risk threshold Th2 to obtain a comparison result, including:

[0129] If the slope comprehensive risk index Chi < the first risk threshold Th1, it means that the current construction load does not have construction risk for the slope sub-area;

[0130] If the first risk threshold Th1≤slope comprehensive risk index Chi≤second risk threshold Th2, it means that the current construction load has construction risk for the slope sub-area, and a first medium risk level mark is generated;

[0131] If the comprehensive risk index Chi of the slope is greater than the second risk threshold Th2, it means that the current construction load has a construction risk for the slope sub-area, and a second highest risk level mark is generated.

[0132] Specifically, according to the slope sub-areas marked with the first medium risk level and the second high risk level, corresponding construction safety measures are generated, including:

[0133] Generate the first construction safety measures according to the first medium risk level mark, including limiting the construction load to 80% of the preset construction load, limiting the number of construction workers to 70% of the normal number, adding 1.2 times the original design of support piles or anchor piles near the slope of the slope sub-area, increasing the buried depth of the support piles or anchor piles to 120% of the current depth, adding 20% ​​of the current steel support embedded in the crack area, and increasing the current drainage system by 20% to control the groundwater level;

[0134] Generate the second construction safety measures according to the second highest risk level mark, including limiting the construction load to 50%-60% of the preset construction load, limiting the number of construction personnel to 60% of the normal number, and adding 1.5 times the original design support piles or anchor piles near the slope of the slope sub-area construction, increasing the buried depth of the support piles or anchor piles to 150% of the current depth, adding 30% of the current steel support embedded in the crack area, and increasing the current drainage system by 30% to control the groundwater level;

[0135] For the slope sub-areas of the first and second warning instructions, construction activities are prohibited, and sandbags and anchoring materials are prepared to reinforce the slope sub-areas. After continuous monitoring, construction activities can be resumed only after the first qualified mark and the second qualified mark are obtained.

[0136] In this embodiment, by comparing the set first risk threshold Th1 and second risk threshold Th2 with the comprehensive risk index Chi of the slope, the construction risk of the slope sub-area can be identified in time, thereby realizing dynamic monitoring and management of the slope and ensuring construction safety; corresponding construction safety measures are generated according to different risk levels, so that the construction team can take targeted measures, optimize resource allocation, and effectively reduce risks; in medium and high risk situations, adjusting construction loads and personnel allocation can effectively reduce the instability of the slope and ensure construction safety; by adding support piles, anchor piles and drainage systems, the bearing capacity and stability of the slope can be significantly enhanced, and the potential landslide risk can be effectively controlled; timely response to the first warning instruction and the second warning instruction can immediately stop construction when the risk is high, reducing the possibility of accidents; during slope reinforcement and continuous monitoring, by continuously collecting data and evaluating risk indexes, it is ensured that construction activities are resumed under safe conditions, further improving the overall construction safety management level.

[0137] Example 8

[0138] Please refer to Figure 2 , a three-dimensional modeling system for rock slope construction, comprising:

[0139] The 3D model building module is used to divide the construction area into several slope sub-areas, and use 3D drawing software to draw the 3D model distribution map of the rock slope in the construction area, and at the same time locate the position of each slope sub-area and mark it with a serial number;

[0140] The first acquisition module is used to collect geological data of each slope sub-area through different channels. The geological data includes rock and soil properties, stratum structure and groundwater level information, and pre-process and extract features of the geological data to establish a slope data set;

[0141] The first geological analysis module is used to extract and analyze the geological features in the slope data set of the slope sub-area to obtain the regional rock strength Qdz, friction angle φ, cohesion c and regional rock crack index Yslf; calculate and obtain the stability evaluation index Wdx through the trained risk assessment model, and generate a first qualified mark if the stability evaluation index Wdx is higher than the stability threshold F;

[0142] The second dynamic analysis module is used to extract the slope data set and combine the geological structure, groundwater flow and rainfall characteristics to construct the slope dynamic risk index Rbz. If the slope dynamic risk index Rbz is lower than the dynamic risk threshold D, a second qualified mark is generated;

[0143] A comprehensive analysis module is used to establish a qualified area set for the slope sub-areas that simultaneously obtain the first qualified mark and the second qualified mark, collect predetermined construction data in the qualified area set, construct a construction load factor P, and associate the vegetation coverage rate fgl and the traffic thermal index Rlzs, and comprehensively calculate and obtain the slope risk density value Dr. After using the statistical analysis method to perform a correlation test, a comprehensive analysis is performed on the stability assessment index Wdx, the slope dynamic risk index Rbz and the slope risk density value Dr to obtain the slope comprehensive risk index Chi;

[0144] The construction risk assessment module is used to set the first risk threshold Th1 and the second risk threshold Th2, and compare them with the slope comprehensive risk index Chi, and formulate corresponding construction safety measures according to different comparison results.

[0145] In this embodiment, the design of the rock slope construction three-dimensional modeling system significantly improves the scientificity and accuracy of construction safety management; first, the three-dimensional model construction module provides a clear view of the construction area by dividing the slope sub-areas in detail, making various geological features more intuitive and easy to understand; the first acquisition module efficiently integrates various geological data such as rock and soil properties and groundwater levels, and establishes a comprehensive slope data set, laying a solid foundation for subsequent analysis; through the combination of the first geological analysis module and the second dynamic analysis module, the system can evaluate the stability and dynamic risks of the slope in real time, providing an accurate basis for construction decisions; in addition, the comprehensive analysis module comprehensively and comprehensively evaluates various risk factors through risk density values ​​and correlation tests, generates a slope comprehensive risk index Chi, and ensures the safety of the construction process; the construction risk assessment module formulates specific safety measures for different risk levels to further ensure the safety of construction personnel and equipment; this system not only improves construction efficiency, but also optimizes risk management strategies through data-driven decision-making, reduces potential safety hazards, and ensures the smooth progress of construction activities;

[0146] The threshold is set to facilitate comparison. The size of the threshold depends on the amount of sample data and the number of bases set by technicians in this field for each group of sample data; as long as it does not affect the proportional relationship between the parameter and the quantized value.

[0147] The above formulas are obtained by collecting a large amount of data for software simulation and selecting a formula that is close to the actual value. The coefficients in the formula are set by technical personnel in this field according to actual conditions. The above is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited to this. Any technical personnel familiar with the technical field within the technical scope disclosed by the present invention, according to the technical solution and the inventive concept of the present invention, make equivalent replacement or change, which should be covered within the protection scope of the present invention.

Claims

1. A three-dimensional modeling method for rock slope construction, characterized in that: The following steps are involved: Divide the construction area into several slope sub-areas, and use 3D drawing software to draw a 3D model distribution map of the rock slope in the construction area. At the same time, locate each slope sub-area and mark it with a serial number; The geological data of each slope sub-area are collected through different channels. The geological data include rock and soil properties, stratigraphic structure and groundwater level information. The geological data are pre-processed and feature extracted to establish a slope data set. Extract the geological characteristics of the slope data set in the slope sub-area and analyze them to obtain the regional rock strength Qdz, friction angle Cohesion c and regional rock crack index Yslf; calculate and obtain the stability assessment index Wdx through the trained risk assessment model, and if the stability assessment index Wdx is higher than the stability threshold F, generate the first qualified mark; Extract the slope data set and combine the geological structure, groundwater flow and rainfall characteristics to construct the slope dynamic risk index Rbz. If the slope dynamic risk index Rbz is lower than the dynamic risk threshold D, a second qualified mark is generated. For the slope sub-areas that obtain both the first qualified mark and the second qualified mark, a qualified area set is established, and the predetermined construction data in the qualified area set is collected to construct the construction load factor P, and the vegetation coverage rate fgl and the traffic thermal index Rlzs are associated to obtain the slope risk density value Dr by comprehensive calculation. After the correlation test is performed using the statistical analysis method, the stability assessment index Wdx, the slope dynamic risk index Rbz and the slope risk density value Dr are comprehensively analyzed to obtain the slope comprehensive risk index Chi; Set the first risk threshold Th1 and the second risk threshold Th2, and compare them with the slope comprehensive risk index Chi, and formulate corresponding construction safety measures according to different comparison results; The slope data set includes: rock strength Qdz, friction angle Cohesion c, soil thickness tchd, groundwater level H, real-time rainfall Jy, water flow velocity S, slope displacement value wyz, settlement value cjz and vegetation coverage rate fgl; The slope dataset is cleaned, including removing outliers and filling missing data. The cleaned slope dataset is standardized based on dimensionless processing technology. Extract regional rock strength Qdz and friction angle Cohesion c and regional rock crack index Yslf; A convolutional neural network is used to build a risk assessment model. After training and testing the risk assessment model with the slope dataset in the slope sub-area, the fused risk assessment model is obtained by combining the three-dimensional model distribution map of the rock slope in the construction area, and the regional rock strength Qdz and friction angle are extracted. The cohesion c and the regional rock crack index Yslf are used to calculate the stability evaluation index Wdx using the following formula: Where a1, a2, a3 and a4 represent the regional rock strength Qdz, friction angle The weight coefficient of cohesion c and regional rock crack index Yslf, V1 represents the first correction constant; A stability threshold F is preset, and the stability evaluation index Wdx is compared and analyzed with the stability threshold F to determine the stability of the regional slope rock, including: If the stability evaluation index Wdx> the stability threshold F, it means that the slope sub-area is stable and suitable for construction, and a first qualified mark is generated; If the stability evaluation index Wdx ≤ the stability threshold F, it means that the stability of the slope sub-area is unqualified and not suitable for construction; and the first warning instruction is generated.

2. The three-dimensional modeling method for rock slope construction according to claim 1, characterized in that: The specific process of dividing the construction area into several slope sub-areas is as follows: According to the topography, geological characteristics and construction requirements, GIS is used to conduct spatial analysis and define the boundaries of the slope sub-areas; The geological data of each slope sub-area, including rock properties, soil thickness and groundwater level, are collected through sensors, drones and field surveys. The data are pre-processed and imported into the 3D drawing software AutoCAD or SketchUp to obtain a 3D model. The electronic distribution map of the slope is added to the 3D model. The 3D model distribution map of the rock slope in the construction area is generated by fusion. Different colors and textures are used to represent different rock types and soil characteristics. Each slope sub-area is located, and the serial number marking method is used to assign labels to several slope sub-areas: Bp1, Bp2, ..., Bp n ; n represents the number of slope sub-areas.

3. The three-dimensional modeling method for rock slope construction according to claim 1 is characterized in that: The process of analyzing the regional rock fracture index Yslf is as follows: S11. Extract rock crack length characteristic data from the slope data set and calculate the average crack length L using the following formula f ; Where, L i represents the length value of the i-th crack in the rock crack length characteristic data, and m is the total number of cracks in the slope sub-area; S12, based on the average length of the crack L f , combined with the rock fracture seepage characteristic data extracted from the slope data set, the fracture permeability coefficient D is calculated by the following formula f ; In the formula, Q represents the water flow through the cracks in the rock fracture seepage characteristic data, A f represents the total cross-sectional area of ​​the crack, and ΔP represents the pressure difference on both sides of the crack; S13. Extract rock crack repair feature data from the slope data set and calculate the crack repair degree coefficient R using the following formula f ; In the formula, C r Indicates the strength of the repaired crack in the rock crack repair characteristic data, C original It represents the original strength when the historical cracks were not repaired; S14. Obtain the number of rock cracks in the sub-region C f , average crack length L f , total cross-sectional area of ​​cracks A f , fracture permeability coefficient D f and crack repair coefficient R f , and the regional rock fracture index Yslf is calculated by the following formula: In the formula, σ n represents the rock normal stress, A t Represents the total rock area of ​​the sub-region.

4. The three-dimensional modeling method for rock slope construction according to claim 3 is characterized in that: After receiving the first qualified mark, the slope displacement value wyz, settlement value cjz, groundwater level H, real-time rainfall Jy, water flow velocity S and soil thickness tchd in the slope data set are extracted. After dimensionless processing, the slope dynamic risk index Rbz is calculated by the following formula: Where a5 represents the weight coefficient of the product of slope displacement value wyz and settlement value cjz, a6, a7, a8 and a9 represent the weight coefficients of groundwater level H, real-time rainfall Jy, water flow velocity S and soil thickness tchd respectively, and V2 represents the second correction constant; The dynamic risk threshold D is preset, and the slope dynamic risk index Rbz is compared with the dynamic risk threshold D to determine the dynamic landslide risk of the slope sub-area, including: If the slope dynamic risk index Rbz is less than the dynamic risk threshold D, it means that the dynamic landslide risk of the slope sub-area is normal and suitable for construction, and a second qualified mark is generated; If the slope dynamic risk index Rbz ≥ dynamic risk threshold D, it means that the dynamic landslide risk of the slope sub-area is abnormal and not suitable for construction, and a second warning instruction is generated.

5. The three-dimensional modeling method for rock slope construction according to claim 1 is characterized in that: For the slope sub-areas that obtain both the first qualified mark and the second qualified mark, a qualified area set is established, and predetermined construction data in the qualified area set is collected to construct a construction load factor P. The construction load factor P is calculated and obtained by the following formula: Wherein, jzcl represents the total weight of building materials in the scheduled construction data, sb represents the total weight of construction equipment in the scheduled construction data, grsl represents the total number of construction workers in the scheduled construction data, dr represents the weight of a single construction worker, and AIMJ represents the total area of ​​the load slope sub-area.

6. The three-dimensional modeling method for rock slope construction according to claim 1, characterized in that: The process of analyzing the traffic thermal index Rlzs is as follows: collect the pedestrian flow Pt and vehicle flow Tr in the slope sub-area, and calculate the traffic thermal index Rlzs by the following formula: where j = 1, 2, …, k, k is the number of sampling frequencies, set to collect once every 10 minutes, Pt j represents the pedestrian flow at the j-th sampling node, Tr j represents the vehicle flow at the j-th sampling node, is the maximum tolerance threshold of pedestrian flow in the slope sub-region; is the maximum tolerance threshold of vehicle flow in the slope sub-region; F1 and F2 are weight coefficients: 0 < F1 < 1, 0 < F2 < 1, and F1 + F2 = 1; The construction load factor P is associated with the vegetation coverage rate fgl and the traffic thermal index Rlzs, and the slope risk density value Dr is calculated using the following formula: After the correlation test was carried out by using statistical analysis method, the stability assessment index Wdx, the slope dynamic risk index Rbz and the slope risk density value Dr were comprehensively analyzed, and the slope comprehensive risk index Chi was calculated by the following correlation formula; Among them, α, β, γ are weight coefficients, θ is the correction coefficient, and 0<θ<1.

7. The three-dimensional modeling method for rock slope construction according to claim 1, characterized in that: A first risk threshold Th1 and a second risk threshold Th2 are set, and the slope comprehensive risk index Chi is compared with the first risk threshold Th1 and the second risk threshold Th2 to obtain a comparison result, including: If the slope comprehensive risk index Chi < the first risk threshold Th1, it means that the current construction load does not have construction risk for the slope sub-area; If the first risk threshold Th1≤slope comprehensive risk index Chi≤second risk threshold Th2, it means that the current construction load has construction risk for the slope sub-area, and a first medium risk level mark is generated; If the comprehensive risk index Chi of the slope is greater than the second risk threshold Th2, it means that the current construction load has a construction risk for the slope sub-area, and a second highest risk level mark is generated.

8. The three-dimensional modeling method for rock slope construction according to claim 7, characterized in that: According to the slope sub-areas marked with the first medium risk level and the second high risk level, the corresponding construction safety measures are generated, including: Generate the first construction safety measures according to the first medium risk level mark, including limiting the construction load to 80% of the preset construction load, limiting the number of construction workers to 70% of the normal number, adding 1.2 times the original design support piles or anchor piles near the slope constructed in the slope sub-area, increasing the buried depth of the support piles or anchor piles to 120% of the current depth, adding 20% ​​of the current steel support embedded in the crack area, and increasing the current drainage system by 20% to control the groundwater level; Generate the second construction safety measures according to the second highest risk level mark, including limiting the construction load to 50%-60% of the preset construction load, limiting the number of construction personnel to 60% of the normal number, and adding 1.5 times the original design support piles or anchor piles near the slope of the slope sub-area construction, increasing the buried depth of the support piles or anchor piles to 150% of the current depth, adding 30% of the current steel support embedded in the crack area, and increasing the current drainage system by 30% to control the groundwater level; For the slope sub-areas of the first and second warning instructions, construction activities are prohibited, and sandbags and anchoring materials are prepared to reinforce the slope sub-areas. After continuous monitoring, construction activities can be resumed only after the first qualified mark and the second qualified mark are obtained.

9. A three-dimensional modeling system for rock slope construction, used to implement the three-dimensional modeling method for rock slope construction according to any one of claims 1 to 8, characterized in that: include: The 3D model building module is used to divide the construction area into several slope sub-areas, and use 3D drawing software to draw the 3D model distribution map of the rock slope in the construction area, and at the same time locate the position of each slope sub-area and mark it with a serial number; The first acquisition module is used to collect geological data of each slope sub-area through different channels. The geological data includes rock and soil properties, stratum structure and groundwater level information, and pre-process and extract features of the geological data to establish a slope data set; The first geological analysis module is used to extract and analyze the geological features in the slope data set of the slope sub-area to obtain the regional rock strength Qdz, friction angle φ, cohesion c and regional rock crack index Yslf; calculate and obtain the stability evaluation index Wdx through the trained risk assessment model, and generate a first qualified mark if the stability evaluation index Wdx is higher than the stability threshold F; The second dynamic analysis module is used to extract the slope data set and combine the geological structure, groundwater flow and rainfall characteristics to construct the slope dynamic risk index Rbz. If the slope dynamic risk index Rbz is lower than the dynamic risk threshold D, a second qualified mark is generated; A comprehensive analysis module is used to establish a qualified area set for the slope sub-areas that simultaneously obtain the first qualified mark and the second qualified mark, collect the predetermined construction data in the qualified area set, construct the construction load factor P, and associate the vegetation coverage rate fgl and the traffic thermal index Rlzs, and obtain the slope risk density value Dr by comprehensive calculation. After the correlation test is performed using the statistical analysis method, the comprehensive analysis is performed to obtain the slope comprehensive risk index Chi; The construction risk assessment module is used to set the first risk threshold Th1 and the second risk threshold Th2, and compare them with the slope comprehensive risk index Chi, and formulate corresponding construction safety measures according to different comparison results.

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