Slope collapse detection and evaluation method, device and equipment based on remote sensing technology and storage medium

Abstract

The invention discloses a slope collapse detection and evaluation method, device and equipment based on a remote sensing technology and a storage medium, and relates to the technical field of remote sensing collapse detection, and the method comprises the steps: obtaining remote sensing slope environment data, slope restoration feature data and a regional slope risk coefficient; based on the remote sensing slope environment data, the slope restoration characteristic data and the regional slope risk coefficient, determining a slope environment typical region; and based on the slope environment typical region, detecting an environment risk region and evaluating the regional slope environment risk. The slope area is fully covered through the remote sensing technology, the remote sensing slope environment data, the slope restoration feature data and the regional slope risk coefficient are obtained, the slope scene model is intelligently processed and established to determine the slope environment typical area, the monitoring accuracy is improved, then the environment risk area is detected, the regional slope environment risk is evaluated, and the slope restoration efficiency is improved. The stability and risk of the slope are evaluated more accurately, potential collapse risks are warned in advance, and slope collapse disasters are effectively prevented.

Description

Technical Field

[0001] The present application relates to the field of remote sensing collapse detection technology, and in particular to a slope collapse detection and evaluation method, device, equipment and storage medium based on remote sensing technology. Background Art

[0002] With the acceleration of urbanization, slope projects are appearing more and more in urban construction. Early detection and prevention of disasters such as collapse has gradually become an important demand in urban planning and management. In order to achieve a breakthrough in slope restoration technology, we can integrate high-tech technologies such as remote sensing + BIM + GIS, and develop remote sensing detection technology that integrates remote sensing data processing and slope modeling, intelligent remote sensing data processing methods and emergency rapid mapping technology.

[0003] At present, the monitoring and assessment of slope collapse mainly rely on ground monitoring equipment and manual inspections, including the use of displacement monitors, stress sensors and other equipment to monitor changes in slope greening, or auxiliary observations through manual inspections.

[0004] However, ground monitoring equipment and manual inspections for slope restoration only focus on slope greening, without performing stability testing on the slope, unable to track and observe the plant growth process, and without sorting out successful slope restoration cases. Intelligent remote sensing data processing methods are not used, and the dynamic monitoring capabilities are limited, making it difficult to detect small changes in the slope in a timely manner, thus missing the best time for prevention. Although drone inspections can provide a wider field of view, they are greatly restricted by weather conditions, and the degree of automation of data processing and analysis is not high. Therefore, how to conduct comprehensive, real-time and automated detection of slope stability has become an urgent problem to be solved.

[0005] The above contents are only used to assist in understanding the technical solution of the present application and do not constitute an admission that the above contents are prior art. Summary of the invention

[0006] The main purpose of this application is to provide a slope collapse detection and assessment based on remote sensing technology, aiming to solve the technical problem of how to conduct comprehensive, real-time and automated detection of slope stability.

[0007] To achieve the above objectives, this application proposes a slope collapse detection and assessment method based on remote sensing technology, the method comprising:

[0008] Obtain remote sensing slope environmental data, slope restoration characteristic data and regional slope risk coefficient;

[0009] Determine a typical area of ​​slope environment based on the remote sensing slope environment data, the slope restoration characteristic data and the regional slope risk coefficient;

[0010] The environmental risk of the regional slope is assessed based on the typical area detection environmental risk area of ​​the slope environment.

[0011] In one embodiment, the step of obtaining remote sensing slope environment data, slope restoration characteristic data and regional slope risk coefficient includes:

[0012] Obtain slope displacement information, anchor stress information, support structure deformation information, slope crack distribution status information, slope deformation evolution process information, slope displacement rate angle information, environmental relationship information, on-site slope screening data, exploration risk hidden danger screening data, UAV exploration screening data, satellite image calibration screening data, typical area slope ground monitoring data and typical area slope test data;

[0013] Determine slope monitoring information based on the slope displacement information, the anchor stress information, the support structure deformation information, the slope crack distribution state information, the slope deformation evolution process information, the slope displacement rate angle information and the environmental relationship information, wherein the slope monitoring information includes deformation monitoring information, stress monitoring information and environmental monitoring information;

[0014] Obtaining remote sensing slope environmental data based on the deformation monitoring information, the stress monitoring information and the environmental monitoring information;

[0015] Determine slope restoration characteristic data based on the on-site slope screening data, the survey risk and hidden danger screening data, the drone survey screening data and the satellite image calibration screening data;

[0016] The regional slope risk coefficient is determined based on the typical regional slope ground monitoring data and the typical regional slope test data.

[0017] In one embodiment, the step of determining a typical area of ​​a slope environment based on the remote sensing slope environment data, the slope restoration characteristic data and the regional slope risk coefficient comprises:

[0018] Acquire a building information model and a plate moisture aggregation model, wherein the plate moisture aggregation model includes a soil moisture change model, a runoff change model, and a water-soil mixing change model;

[0019] Establishing a slope scene model based on the remote sensing slope environmental data, the building information model, the soil moisture change model, the runoff change model and the water-soil mixing change model;

[0020] A typical area of ​​the slope environment is determined based on the slope scene model, the slope restoration feature data and the regional slope risk coefficient.

[0021] In one embodiment, the step of determining the typical area of ​​the slope environment based on the slope scene model, the slope restoration feature data and the regional slope risk coefficient includes:

[0022] Acquire regional block image data based on the slope restoration feature data and the slope scene model;

[0023] A typical area of ​​the slope environment is determined based on the regional slope risk coefficient and the regional block image data.

[0024] In one embodiment, the step of acquiring regional block image data based on the slope restoration feature data and the slope scene model includes:

[0025] Obtain geographic coordinate information, on-site plant collapse and displacement data, and surface runoff hydrological data;

[0026] Based on the slope restoration feature data, the slope scene model, the geographic coordinate information, the on-site plant collapse and displacement data and the surface runoff hydrological data, human-computer interactive interpretation is performed to determine the regional block image data.

[0027] In one embodiment, the step of determining the regional block image data by human-computer interactive interpretation based on the slope restoration feature data, the slope scene model, the geographic coordinate information, the on-site plant collapse displacement data and the surface runoff hydrological data includes:

[0028] Determine the splicing patch image information based on the slope restoration feature data, the on-site plant collapse and displacement data, the surface runoff hydrological data and the slope scene model;

[0029] Determine complete plaque image information based on the geographic coordinate information and the stitched plaque image information;

[0030] The complete plaque image information is interpreted interactively by humans and machines to obtain regional patch image data.

[0031] In one embodiment, before the step of assessing the regional slope environmental risk based on the typical area of ​​the slope environment detecting environmental risk area, the step further includes:

[0032] Obtain troubleshooting condition information and correction coefficients;

[0033] Based on the screening condition information, principal component analysis is performed on the typical area of ​​the slope environment to calculate the slope restoration effectiveness evaluation value;

[0034] The environmental risk of the regional slope is assessed by dividing the environmental risk areas based on the slope restoration effectiveness assessment value and the correction coefficient.

[0035] In addition, to achieve the above purpose, the present application also proposes a slope collapse detection and evaluation device based on remote sensing technology, and the slope collapse detection and evaluation device based on remote sensing technology includes:

[0036] An acquisition module is used to obtain remote sensing slope environment data, slope restoration characteristic data and regional slope risk coefficient;

[0037] A processing module, used for determining a typical area of ​​slope environment based on the remote sensing slope environment data, the slope restoration characteristic data and the regional slope risk coefficient;

[0038] An execution module is used to detect environmental risk areas and assess regional slope environmental risks based on the typical areas of the slope environment.

[0039] In addition, to achieve the above-mentioned objectives, the present application also proposes a slope collapse detection and evaluation device based on remote sensing technology, the device comprising: a memory, a processor, and a computer program stored on the memory and executable on the processor, the computer program being configured to implement the steps of the slope collapse detection and evaluation method based on remote sensing technology as described above.

[0040] In addition, to achieve the above-mentioned purpose, the present application also proposes a storage medium, which is a computer-readable storage medium, and a computer program is stored on the storage medium. When the computer program is executed by the processor, the steps of the slope collapse detection and evaluation method based on remote sensing technology as described above are implemented.

[0041] One or more technical solutions proposed in this application have at least the following technical effects:

[0042] The present application proposes a slope collapse detection and assessment method based on remote sensing technology, which obtains remote sensing slope environment data, slope restoration feature data and regional slope risk coefficient; determines the typical slope environment area based on the remote sensing slope environment data, the slope restoration feature data and the regional slope risk coefficient; detects the environmental risk area based on the typical slope environment area and assesses the regional slope environmental risk. The present application comprehensively covers the slope area through remote sensing technology, realizes large-scale and efficient data acquisition, obtains remote sensing slope environment data, slope restoration feature data and regional slope risk coefficient, intelligently processes and analyzes data to establish a slope scene model and determine the typical slope environment area, improves the real-time and accuracy of monitoring, then detects the environmental risk area and assesses the regional slope environmental risk, combines BIM and GIS technology to more accurately simulate and assess the stability and risk of the slope, provides a scientific basis for slope management and disaster prevention, timely discovers small changes in the slope, warns of potential collapse risks in advance, and effectively prevents slope collapse disasters. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the present application.

[0044] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0045] Figure 1 A schematic diagram of a flow chart provided for the first embodiment of the slope collapse detection and assessment method based on remote sensing technology of the present application;

[0046] Figure 2 This is a schematic diagram of slope monitoring of a slope collapse detection and assessment method based on remote sensing technology in this application;

[0047] Figure 3 This is a schematic diagram of the module of the slope collapse detection and assessment method based on remote sensing technology in this application;

[0048] Figure 4 A schematic diagram of a flow chart provided for Embodiment 2 of the slope collapse detection and assessment method based on remote sensing technology of the present application;

[0049] Figure 5 This is a schematic diagram of the module structure of a slope collapse detection and evaluation device based on remote sensing technology according to an embodiment of the present application;

[0050] Figure 6 Schematic diagram of the equipment structure of the hardware operating environment involved in the slope collapse detection and evaluation method based on remote sensing technology in the embodiment of the present application.

[0051] The purpose, features and advantages of this application will be further described in conjunction with the embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0052] It should be understood that the specific embodiments described herein are only used to explain the technical solutions of the present application and are not used to limit the present application.

[0053] In order to better understand the technical solution of the present application, a detailed description will be given below in conjunction with the accompanying drawings and specific implementation methods.

[0054] The main solution of the embodiment of the present application is: to obtain remote sensing slope environment data, slope restoration characteristic data and regional slope risk coefficient; to determine the typical area of ​​slope environment based on the remote sensing slope environment data, the slope restoration characteristic data and the regional slope risk coefficient; to detect the environmental risk area based on the typical area of ​​slope environment and evaluate the regional slope environmental risk.

[0055] In this embodiment, for ease of description, the following description is made by taking the identification of slope collapse detection and assessment equipment based on remote sensing technology as the execution subject.

[0056] In the existing technology, ground monitoring equipment and manual inspections for slope restoration only focus on slope greening, without performing stability testing on the slope, unable to track and observe the plant growth process, and without sorting out successful slope restoration cases. Intelligent remote sensing data processing methods are not used, and the dynamic monitoring capabilities are limited. It is difficult to detect small changes in the slope in time, thus missing the best time for prevention. Although drone inspections can provide a wider field of view, they are greatly restricted by weather conditions, and the degree of automation of data processing and analysis is not high.

[0057] The present application provides a solution to obtain remote sensing slope environment data, slope restoration characteristic data and regional slope risk coefficient; determine typical slope environment areas based on the remote sensing slope environment data, the slope restoration characteristic data and the regional slope risk coefficient; and detect environmental risk areas based on the typical slope environment areas to assess regional slope environmental risks.

[0058] It can be seen from the above embodiments that the present application comprehensively covers the slope area through remote sensing technology, realizes large-scale and efficient data acquisition, obtains remote sensing slope environmental data, slope restoration characteristic data and regional slope risk coefficient, intelligently processes and analyzes data to establish a slope scene model and determine typical areas of the slope environment, thereby improving the real-time and accuracy of monitoring, and then detects environmental risk areas and evaluates regional slope environmental risks. Combined with BIM and GIS technology, it can more accurately simulate and evaluate the stability and risk of slopes, provide a scientific basis for slope management and disaster prevention, timely discover minor changes in slopes, and warn of potential collapse risks in advance, effectively preventing slope collapse disasters.

[0059] Based on this, the present application embodiment provides a slope collapse detection and evaluation method based on remote sensing technology, referring to Figure 1 , Figure 1 This is a flow chart of the first embodiment of the slope collapse detection and assessment method based on remote sensing technology of the present application.

[0060] In this embodiment, the slope collapse detection and assessment method based on remote sensing technology includes steps S10 to S30:

[0061] Step S10, obtaining remote sensing slope environment data, slope restoration characteristic data and regional slope risk coefficient;

[0062] It should be noted that the remote sensing slope environmental data reflects the characteristics of the current state of the slope and the state of environmental changes, the slope repair data reflects the characteristics of the screened data that meet the requirements of the slope repair process, and the regional risk coefficient reflects the characteristics of the risk of disasters such as slope collapse in a specific area.

[0063] It can be understood that the remote sensing image of the monitored slope area can be obtained based on satellite remote sensing technology; the remote sensing image obtained is input into a pre-trained image recognition network, and the image recognition network recognizes the remote sensing image, extracts the slope environment data in the remote sensing image, and after post-processing the slope environment data, the corresponding monitoring results are obtained according to the post-processed slope environment data. By detecting the slope displacement information, anchor stress information, support structure deformation information, slope crack distribution state information, slope deformation evolution process information, slope displacement rate angle information and environmental relationship information, the slope monitoring information is summarized, such as Figure 2 As shown, Figure 2 This is a schematic diagram of slope monitoring of the slope collapse detection and evaluation method based on remote sensing technology in this application. The slope monitoring information includes deformation monitoring information, stress monitoring information and environmental monitoring information. With the help of intelligent remote sensing data processing methods, the detection test and analysis results can be fed back in real time, and the dynamics of slope deformation and instability can be fed back in time.

[0064] In addition, it should be noted that if Figure 3 As shown, Figure 3 This is a schematic diagram of the module of the slope collapse detection and assessment method based on remote sensing technology in this application, which includes a data acquisition unit, a data information receiving unit and a data analysis and processing unit. By integrating remote sensing slope environmental data, slope restoration feature data and regional slope risk coefficient, the data is transmitted to the wireless communication module to analyze whether the data reaches the threshold, and then storage, video viewing, intelligent expert evaluation and early warning are performed, so as to more accurately assess the stability and potential risks of the slope, timely discover minor changes in the slope, give early warning of potential collapse risks, and effectively prevent slope collapse disasters.

[0065] For ease of understanding, the acquisition of remote sensing slope environment data, slope restoration characteristic data and regional slope risk coefficient is taken as an example for explanation, wherein the information acquisition device is an information acquisition module and the storage device is a memory.

[0066] The information acquisition module obtains slope displacement information, anchor stress information, support structure deformation information, slope crack distribution status information, slope deformation evolution process information, slope displacement rate angle information, environmental relationship information, on-site slope screening data, exploration risk hidden danger investigation screening data, drone exploration screening data, satellite image calibration screening data, typical area slope ground monitoring data and typical area slope test data, and determines slope monitoring information based on the slope displacement information, anchor stress information, support structure deformation information, slope crack distribution status information, slope deformation evolution process information, slope displacement rate angle information and environmental relationship information, wherein the slope monitoring information includes deformation monitoring information, stress monitoring information and environmental monitoring information, obtain remote sensing slope environmental data based on the deformation monitoring information, the stress monitoring information and the environmental monitoring information, determine slope restoration feature data based on the on-site slope screening data, the exploration risk hidden danger investigation screening data, the UAV exploration screening data and the satellite image calibration screening data, determine the regional slope risk coefficient based on the typical regional slope ground monitoring data and the typical regional slope test data, store the remote sensing slope environmental data, slope restoration feature data and regional slope risk coefficient in a memory, and perform subsequent processing based on the remote sensing slope environmental data, slope restoration feature data and regional slope risk coefficient.

[0067] In a feasible implementation, step S10 may include steps A11 to A15:

[0068] Step A11, obtaining slope displacement information, anchor stress information, support structure deformation information, slope crack distribution state information, slope deformation evolution process information, slope displacement rate angle information, environmental relationship information, on-site slope screening data, exploration risk hidden danger investigation screening data, drone exploration screening data, satellite image calibration screening data, typical area slope ground monitoring data and typical area slope test data;

[0069] It should be noted that the slope displacement information reflects the characteristics of the displacement changes of the slope structure in the horizontal and vertical directions, including the horizontal displacement information of the slope, the vertical displacement information of the slope and the displacement information of the top of the slope. The anchor stress information reflects the characteristics of the stress state of the anchor used for slope reinforcement. The support structure deformation information reflects the characteristics of the deformation state of the slope support structure after being subjected to force. The slope crack distribution state information reflects the characteristics of the distribution and development trend of the slope cracks. The slope deformation evolution process information reflects the characteristics of the change process of the slope deformation over time. The slope displacement rate angle information reflects the characteristics of the slope displacement speed and direction. The environmental relationship information reflects the environmental factors that affect the stability of the slope. The characteristics of environmental factors include rainfall influencing factors and groundwater level influencing factors. The on-site slope screening data reflects the characteristics of the classified data obtained by the on-site investigation. The investigation risk and hidden danger investigation screening data reflects the characteristics of the investigation of potential risks and hidden dangers of the slope. The UAV investigation screening data reflects the characteristics of the slope images and terrain data obtained by using UAV technology. The satellite image calibration screening data reflects the characteristics of the data calibrated using satellite remote sensing images. The typical area slope ground monitoring data reflects the characteristics of the ground monitoring data of the typical area obtained by monitoring. The typical area slope test data reflects the characteristics of the data obtained through field tests.

[0070] It can be understood that a slope scene model can be established using remote sensing data, building information models and plate moisture aggregation models. The plate moisture aggregation model includes a soil moisture change model, a runoff change model and a water-soil mixing change model. The design parameter data of each part is obtained, and a three-dimensional slope model is constructed based on the design parameter data of each part. The three-dimensional slope model can be displayed through an intelligent remote sensing information system platform, so as to more accurately evaluate the stability and potential risks of the slope, timely discover small changes and potential risks of the slope, provide a scientific basis for preventive measures and repair work, and perform data processing automatically and intelligently.

[0071] Step A12, determining slope monitoring information based on the slope displacement information, the anchor stress information, the support structure deformation information, the slope crack distribution state information, the slope deformation evolution process information, the slope displacement rate angle information and the environmental relationship information, wherein the slope monitoring information includes deformation monitoring information, stress monitoring information and environmental monitoring information;

[0072] It should be noted that the deformation monitoring information reflects the characteristics of the deformation degree of the slope in time and space, the stress monitoring information reflects the characteristics of the stress state of the anchoring structure of the monitored slope, and the environmental monitoring information reflects the characteristics of the change state of the monitored surrounding environment.

[0073] Step A13, obtaining remote sensing slope environmental data based on the deformation monitoring information, the stress monitoring information and the environmental monitoring information;

[0074] It can be understood that based on the deformation monitoring information, stress monitoring information and environmental monitoring information, a comprehensive assessment of the stability of the slope can be carried out, thereby enabling early prevention, dynamic monitoring of deformation, stress and environmental factors, and improving the reliability and accuracy of the monitoring results.

[0075] In addition, it should be noted that through automated data processing, the need for on-site measurements is reduced, the efficiency of monitoring work is improved, and remote sensing technology can cover a wider area and obtain more comprehensive data, thereby improving data accuracy.

[0076] Step A14, determining slope restoration characteristic data based on the on-site slope screening data, the survey risk and hidden danger screening data, the UAV survey screening data and the satellite image calibration screening data;

[0077] It can be understood that based on the slope repair characteristic data, the effects and existing problems of the slope repair project can be comprehensively evaluated, wherein the on-site slope screening data and the survey risk hidden danger investigation screening data are used to accurately identify and manage risks in the slope repair project, and the UAV survey screening data and the satellite image calibration screening data are used to accurately locate key areas in slope repair, thereby ensuring project safety, improving the quality of slope repair projects, and extending the service life of slopes.

[0078] Step A15, determining the regional slope risk coefficient based on the typical regional slope ground monitoring data and the typical regional slope test data.

[0079] It can be understood that the ground monitoring data of slopes in typical areas provide the actual stability of the slopes in the natural environment and use conditions in the area, while the test data of slopes in typical areas are derived from actual experiments, providing information on the response of slope materials and structures under controlled conditions, so that the risk level of the slope can be quantified for easy comparison and evaluation, and areas with higher risks can be identified, so that preventive measures can be taken as a priority to avoid or reduce accidents.

[0080] Step S20, determining a typical area of ​​the slope environment based on the remote sensing slope environment data, the slope restoration characteristic data and the regional slope risk coefficient;

[0081] It should be noted that the typical area of ​​the slope environment reflects the characteristics of the area that needs attention in the slope environment.

[0082] It is understandable that by identifying typical areas of slope environment, more refined management of slopes can be carried out, differentiated monitoring and maintenance strategies can be formulated for different areas, limited resources can be allocated preferentially to those areas with higher risks or more representativeness, the efficiency of resource use can be improved, and typical areas that may have safety hazards can be discovered and focused on in a timely manner, which helps prevent the occurrence of disasters.

[0083] In addition, it should be noted that interpretation is a professional means of ecological remote sensing mapping. Human-computer interactive interpretation refers to the process of interpreting remote sensing images by using software such as ENVI to train computer modules to identify areas of interest, and by using manual visual remote sensing image interpretation by professionals to process remote sensing images. The two means are combined and the modes are complementary to achieve high-precision ecological interpretation. When calibrating satellite images, manual ground survey correction is used followed by multi-source and multi-dimensional image correction.

[0084] For ease of understanding, the following is explained by taking the determination of a typical area of ​​a slope environment as an example, wherein the information acquisition device is an information acquisition module, the storage device is a memory, and the processing device is a processing module.

[0085] The information acquisition module acquires multi-source and multi-dimensional data, acquires remote sensing slope environment data, slope restoration feature data and regional slope risk coefficient and stores them in a memory, determines a typical slope environment area based on the remote sensing slope environment data, the slope restoration feature data and the regional slope risk coefficient, acquires a building information model and a plate moisture aggregation model, the plate moisture aggregation model includes a soil moisture change model, a runoff change model and a water-soil mixing change model, and establishes a slope scene model based on the remote sensing slope environment data, the building information model, the soil moisture change model, the runoff change model and the water-soil mixing change model.

[0086] Formulate an accurate monitoring plan to obtain geographic coordinate information, on-site plant collapse and displacement data, and surface runoff hydrological data. Use drones to obtain images and then stitch the images. The drones are equipped with high-definition and high-resolution cameras. During the flight scanning of the ground, the software remotely controls to obtain a patch image with built-in geographic coordinate information. It is necessary to stitch the images with built-in geographic coordinate information into a complete image, covering all patch images in the target area, and then perform multi-source and multi-dimensional image correction. Associate satellite remote sensing images with patch images obtained by drone flight and other information, perform ArcGIS geographic information system geo-registration and orthophoto calibration, and realize the correction or calibration of multi-source and multi-dimensional images. Based on the slope restoration feature data, the slope scene model, the geographic coordinate information, the on-site plant collapse and displacement data, and the surface runoff hydrological data, human-computer interactive interpretation is performed to determine the regional patch image data. The human-computer interactive interpretation method is used to obtain the regional patch image data. The typical area of ​​the slope environment is determined based on the regional slope risk coefficient and the regional patch image data, and subsequent processing is performed based on the typical area of ​​the slope environment.

[0087] Step S30, detecting environmental risk areas in the typical slope environment areas and assessing regional slope environmental risks.

[0088] It should be noted that the environmental risk areas reflect the characteristics of slope areas that have collapse risks or require special attention.

[0089] In addition, it should be noted that after the investigation and preliminary assessment of the environmental risks of the slope, a detailed investigation and quantitative assessment of the environmental risks of the slope can be carried out through cumulative environmental investigations of the slope and its surrounding impact areas and quantitative assessment of the environmental risks of the slope environment and its surrounding impact areas. Inspection conditions can be set, such as proposing key targets, technical means and inspection contents for the inspection of slope environmental risk hazards.

[0090] It is understandable that by identifying environmental risk areas, targeted preventive measures can be taken to reduce the occurrence of disasters such as slope collapse, and monitoring and maintenance resources can be allocated more reasonably to improve the efficiency and effectiveness of resource use.

[0091] For ease of understanding, an example of obtaining a typical area of ​​a slope environment is used for explanation, wherein the information acquisition device is an information acquisition module, the storage device is a memory, and the execution device is an execution module.

[0092] The information acquisition module obtains the screening condition information and the correction coefficient and stores them in the memory, establishes a slope scene model, such as establishing a multi-source and multi-dimensional patch image data coupled pollution feature data model, calculates the slope restoration effectiveness by performing principal component analysis, performs principal component analysis on the typical area of ​​the slope environment based on the screening condition information to calculate the slope restoration effectiveness evaluation value, determines the correction coefficient with the ground monitoring and test data obtained from the slopes in the typical area, calibrates the interactive interpretation model results, conducts typical area slope simulation tests, obtains regional slope risk coefficients, divides the environmental risk areas based on the slope restoration effectiveness evaluation value and the correction coefficients, and evaluates the regional slope environmental risks, thereby completing the regional slope environmental risk assessment.

[0093] In a feasible implementation, step S30 may include steps B11 to B13:

[0094] Step B11, obtaining troubleshooting condition information and correction coefficient;

[0095] It should be noted that the screening condition information reflects the characteristics of various conditions and parameters for assessing potential risks in typical areas of the slope environment, including hydrological screening conditions, geological screening conditions and environmental risk screening conditions, and the correction coefficient reflects the characteristics of accurately assessing the actual test status to adjust the output of the assessment model or algorithm.

[0096] It can be understood that the screening condition information is used to more accurately assess the slope environmental risks, and the correction coefficient is used to improve applicability and adapt to slope environments in different regions and types, so as to conduct accurate risk assessments, timely identify high-risk areas and take effective preventive measures to reduce the possibility of disasters, clarify risk areas and risk levels, optimize the allocation of monitoring and maintenance resources, and improve the efficiency of resource utilization.

[0097] Step B12, performing principal component analysis on the typical area of ​​the slope environment based on the screening condition information to calculate the slope restoration effectiveness evaluation value;

[0098] It should be noted that the slope repair effectiveness evaluation value reflects the effect of the slope repair work and the current stability characteristics of the slope.

[0099] It can be understood that using the principal component analysis statistical method, it is possible to extract important features from a large number of variables and reduce the dimensionality of the data while retaining the most important data features.

[0100] In addition, it should be noted that the principal component analysis simplifies the complex data set, making the evaluation process more efficient and easier to manage, and the calculated slope restoration effectiveness evaluation value can accurately evaluate the current status of the slope, thereby understanding the potential risks of the slope and taking appropriate preventive measures.

[0101] Step B13, dividing the environmental risk area based on the slope restoration effectiveness evaluation value and the correction coefficient to evaluate the regional slope environmental risk.

[0102] It can be understood that based on the slope restoration effectiveness evaluation value and the correction coefficient, high-risk areas can be identified more accurately, potential problems can be discovered and dealt with in a timely manner, and preventive measures can be taken in advance to reduce the possibility of disasters.

[0103] The slope collapse detection and assessment method based on remote sensing technology proposed in this embodiment obtains remote sensing slope environmental data, slope repair characteristic data and regional slope risk coefficient; determines the typical slope environment area based on the remote sensing slope environmental data, the slope repair characteristic data and the regional slope risk coefficient; and assesses the regional slope environmental risk based on the environmental risk area detected in the typical slope environment area. The technical problem of how to conduct comprehensive, real-time and automatic detection of slope stability is solved. Compared with the prior art, the present application comprehensively covers the slope area through remote sensing technology, realizes large-scale and efficient data acquisition, obtains remote sensing slope environmental data, slope repair characteristic data and regional slope risk coefficient, intelligently processes and analyzes data to establish a slope scene model and determine the typical slope environment area, improves the real-time and accuracy of monitoring, then detects the environmental risk area and assesses the regional slope environmental risk, combines BIM and GIS technology, more accurately simulates and assesses the stability and risk of the slope, provides a scientific basis for slope management and disaster prevention, timely discovers small changes in the slope, warns of potential collapse risks in advance, and effectively prevents slope collapse disasters.

[0104] Based on the first embodiment of the present application, in the second embodiment of the present application, the same or similar contents as those in the above-mentioned embodiment 1 can be referred to the above introduction and will not be repeated later.

[0105] In this embodiment, refer to Figure 4 , Figure 4 This is a flow chart of Embodiment 2 of the slope collapse detection and assessment method based on remote sensing technology provided by the present application. Step S20 specifically includes steps S21 to S23:

[0106] Step S21, obtaining a building information model and a plate moisture aggregation model, wherein the plate moisture aggregation model includes a soil moisture change model, a runoff change model, and a water-soil mixing change model;

[0107] It should be noted that the building information model reflects the characteristics of the detailed information of the slope structure, and the plate moisture accumulation model reflects the characteristics of the moisture dynamic state and flow path state of the slope area.

[0108] It can be understood that based on the building information model and the plate moisture accumulation model, the state of the slope in the actual environment can be simulated more realistically, so as to more accurately assess the potential risks of the slope, perform slope maintenance and reinforcement, and by predicting the instability and collapse of the slope, preventive measures can be taken in time to reduce the possibility of disasters.

[0109] In addition, it should be noted that when the slope collapses, the slope plants will die or shift, and the regional block image data will change, which will directly cause changes in surface runoff and lead to large fluctuations in the regional block image data. According to the plate moisture accumulation model, the slope soil will collapse.

[0110] For ease of understanding, the acquisition of a building information model and a plate moisture accumulation model is taken as an example for explanation, wherein the information acquisition device is an information acquisition module, the storage device is a memory, and the processing device is a processing module.

[0111] The information acquisition module obtains a building information model, a soil moisture change model, a runoff change model, and a water-soil mixing change model, determines a plate moisture aggregation model based on the soil moisture change model, the runoff change model, and the water-soil mixing change model, and performs subsequent processing based on the building information model and the plate moisture aggregation model.

[0112] Step S22, establishing a slope scene model based on the remote sensing slope environment data, the building information model, the soil moisture change model, the runoff change model and the water-soil mixing change model;

[0113] It should be noted that the soil moisture change model reflects the characteristics of the dynamic process of the water content in the soil changing over time, including water infiltration, evaporation and plant absorption; the runoff change model reflects the characteristics of the simulated surface water flow path and rate, including the distribution and movement of water flow; the water-soil mixing change model reflects the characteristics of the changing state of the soil and water mixing layer, including mudslides, landslides and natural collapse phenomena.

[0114] It can be understood that the soil moisture change model provides dynamic information on moisture in the soil, so that the runoff change model can calculate the water flow path and rate. At the same time, runoff changes will affect the water-soil mixing change model. The scouring effect of water flow will cause changes in soil structure, and water-soil mixing changes will also affect the distribution of soil moisture and runoff patterns.

[0115] In addition, it should be noted that by comprehensively considering the changes in soil moisture, runoff, and water-soil mixing, the stability of slopes under different hydrological conditions can be predicted more accurately, and environmental factors that may lead to slope instability can be identified, so that preventive measures can be taken to reduce the occurrence of natural disasters.

[0116] For ease of understanding, the remote sensing slope environment data, the building information model, the soil moisture change model, the runoff change model and the water-soil mixing change model are taken as an example for explanation, wherein the information collection device is an information collection module, the storage device is a memory, and the processing device is a processing module.

[0117] The information acquisition module acquires remote sensing slope environmental data, a building information model, a soil moisture change model, a runoff change model, and a water-soil mixing change model and stores them in a memory, establishes a slope scene model based on the remote sensing slope environmental data, the building information model, the soil moisture change model, the runoff change model, and the water-soil mixing change model, and performs subsequent processing based on the slope scene model.

[0118] The soil moisture change model is a pair of partial differential equations about soil moisture content W and vegetation biomass B on a two-dimensional plane:

[0119]

[0120] Among them, P is the precipitation rate in the soil moisture change rate; the soil evaporation rate is simplified to a linear relationship with the soil moisture content, so the soil moisture evaporation rate is simplified to c1W, and the plant transpiration rate is approximately linearly related to the quadratic biomass B, so the vegetation transpiration rate is simplified to c2WB 2 , v is the diffusion rate of water in the soil. The parameter c3 in the rate of change of vegetation biomass is the biomass corresponding to the unit amount of transpiration, c4 is the mortality rate of the organism, and D is the diffusion coefficient of the organism. t is the time variable, and XY is the spatial variable.

[0121] In arid and semi-arid areas, vegetation is sparse, and a landscape with patches of shrubs and bare land (or grassland) is often formed in space. Bare land patches are equivalent to catchment areas, which are local runoff formation areas, while shrub patches are equivalent to water collection areas, which can intercept and preserve rainwater runoff. The litter under the shrub patches and the large pores of the root system are conducive to water infiltration, so that the runoff from the bare land patches can penetrate the shrub patches and become a "sink" for the water in the vegetation patches.

[0122] The runoff variation model is:

[0123]

[0124] Among them, the ratio of the shrub patch area, that is, the ratio of the shrub patch area to the total area, is expressed as A. v The ratio of bare land area to total area is represented by A b Indicates that A v +A b =1. Where W v is the soil water content of the shrub patch, Wb Q is the soil moisture content of the bare land patch, and P is the precipitation. i is the runoff rate into the shrub patch, Q0 is the runoff rate out of the shrub patch. For the change of biomass of the shrub patch, the influence of vegetation diffusion is not considered, and the meaning of parameters c1c2c3c4 is the same as that in the soil moisture change model.

[0125] Then the steady state is calculated to obtain the stable runoff variation model. When the values ​​of the three relations in the runoff variation model are equal, the system is in a steady state.

[0126] At this point, we can get:

[0127]

[0128] Among them, B v It can be composed of P, A v Expressed as:

[0129]

[0130] in:

[0131]

[0132] The optimal shrub patch area ratio is obtained so that the biomass of the shrub patch reaches the maximum value corresponding to different annual precipitation.

[0133] If you take:

[0134]

[0135]

[0136] Can get When the minimum value is reached, B v Take the maximum value:

[0137]

[0138] That is, when:

[0139]

[0140] B v is the maximum value.

[0141] If you take:

[0142]

[0143] At this time B v is a monotonically increasing function. Since 4ac≤b2, B v When it reaches the maximum value, it is in a stable state.

[0144] In the process of water accumulation in the shrub patches, there is a mixing process between rainwater and soil water in the shrub patches and a mixing process between runoff flowing into the shrub patches from the outside and soil water in the shrub patches.

[0145] As for the entropy generation and entropy flow of water accumulation in shrub patches, the precipitation, evaporation and transpiration processes on the shrubs are mainly considered. In the water-soil mixing change model, the chemical potential μ of water in the air is set a is 0, μ b is the chemical potential of rain, and the chemical potential of soil water and soil moisture content are simplified to a linear relationship:

[0146] μ=c μ W

[0147] The entropy generation and entropy flow of water accumulation in shrub patches can be expressed as:

[0148]

[0149] Get a stable water-soil mixing change model:

[0150]

[0151] t≥0, so e-t≤1. In the process of water accumulation in the shrub patch, the soil moisture content of the bare patch can be approximated as a constant, and the entropy generation d can be obtained. i S and soil water content W in shrub patches v In the previous steady-state analysis, we know that the biomass of the shrub patch B v Soil water content W v is inversely proportional to the entropy generated. i S and the biomass of shrub patches B v Therefore, the optimal area ratio A of shrub patches under corresponding precipitation can be simulated by the water-soil mixing change model. v , so that the biomass of the shrub patch B v and entropy generation d i S is the maximum value, which conforms to the principle of maximum entropy production, that is, it is in a stable state.

[0152] Step S23, determining a typical area of ​​the slope environment based on the slope scene model, the slope restoration feature data and the regional slope risk coefficient.

[0153] It should be noted that the slope scene model reflects the characteristics of the three-dimensional structure of the slope, including the geometric form, attributes and relationships of the slope.

[0154] It can be understood that by combining the slope scenario model, restoration feature data and regional risk coefficient, the stability and potential risks of the slope can be assessed more accurately. After identifying the high-risk area, the area can be monitored and maintained as a priority to improve the efficiency of resource use.

[0155] For ease of understanding, the following is explained by taking the determination of a typical area of ​​a slope environment as an example, wherein the information acquisition device is an information acquisition module, the storage device is a memory, and the processing device is a processing module.

[0156] The information acquisition module obtains the slope scene model, slope restoration characteristic data and regional slope risk coefficient and stores them in the memory, determines the typical area of ​​the slope environment based on the slope scene model, the slope restoration characteristic data and the regional slope risk coefficient, calculates the slope restoration effectiveness by performing principal component analysis, calculates the slope restoration effectiveness evaluation value based on the screening condition information, determines the correction coefficient with the ground monitoring and test data obtained from the typical regional slope, calibrates the interactive interpretation model results, conducts typical regional slope simulation tests, obtains the regional slope risk coefficient, divides the environmental risk area based on the slope restoration effectiveness evaluation value and the correction coefficient to evaluate the regional slope environmental risk, thereby completing the regional slope environmental risk assessment.

[0157] In a feasible implementation, step S23 may include steps C11 to C12:

[0158] Step C11, acquiring regional block image data based on the slope restoration feature data and the slope scene model;

[0159] It should be noted that the regional block image data reflects the characteristics of surface coverage and terrain changes.

[0160] It is understandable that the potential risks of the slope can be discovered in time by combining regional block image data, and the automated and intelligent data processing reduces the need for manual inspections and improves the efficiency of monitoring and assessment.

[0161] In a feasible implementation, step C11 may include steps D11 to D12:

[0162] Step D11, obtaining geographic coordinate information, on-site plant collapse and displacement data, and surface runoff hydrological data;

[0163] It should be noted that the geographic coordinate information reflects the precise geographic location and terrain characteristics of the slope and its surrounding areas; the on-site plant collapse and displacement data reflects the characteristics of ecological stability and slope health, and records the displacement and damage of vegetation in the slope area due to collapse or other factors; the surface runoff hydrological data reflects the hydrological characteristics of the slope area, such as water flow path, flow velocity and flow.

[0164] It can be understood that the geographic coordinate information is used to accurately monitor small changes in the slope, so as to timely discover potential slope collapse problems, the on-site plant collapse and displacement data is used to assess the ecological status and possible ecological risks of the slope, and the surface runoff hydrological data is used to analyze the hydrological condition information of the slope.

[0165] Step D12, based on the slope restoration feature data, the slope scene model, the geographic coordinate information, the on-site plant collapse and displacement data and the surface runoff hydrological data, human-computer interactive interpretation is performed to determine the regional block image data.

[0166] It is understandable that through human-computer interactive interpretation, slope restoration, plant displacement and hydrological characteristics can be more accurately identified and evaluated, thereby improving the quality of data interpretation, formulating more effective slope monitoring and maintenance strategies, ensuring that resources are rationally allocated to key areas, and more accurately predicting and evaluating the risks of disasters such as slope collapse, and evaluating the health of slope ecosystems to provide support for ecological protection and restoration efforts.

[0167] In a feasible implementation, step D12 may include steps E11 to E13:

[0168] Step E11, determining the splicing patch image information based on the slope restoration feature data, the on-site plant collapse and displacement data, the surface runoff hydrological data and the slope scene model;

[0169] It should be noted that the stitched patch image information reflects the characteristics of the collected single patch image with built-in geographic coordinate information.

[0170] As can be appreciated, stitching patch image information provides a comprehensive view that integrates multiple slope features, allowing for a comprehensive understanding of surface conditions and changes.

[0171] Step E12, determining complete plaque image information based on the geographic coordinate information and the stitched plaque image information;

[0172] It should be noted that the complete patch image information reflects the characteristics of complete image information obtained by splicing multiple adjacent remote sensing images.

[0173] It is understandable that through the stitching of images, the displacement, deformation and vegetation changes of the slope can be monitored more accurately, and the slope collapse condition can be understood more accurately, so as to formulate more effective monitoring and repair strategies. In addition, the potential risks of the slope can be discovered in time, and potential collapse risks can be warned in advance, effectively preventing slope collapse disasters.

[0174] Step E13, performing human-computer interactive interpretation on the complete plaque image information to obtain regional plaque image data.

[0175] It can be understood that through human-computer interactive interpretation, the characteristics and potential risks of the slope can be more accurately identified and evaluated, the quality of data interpretation can be improved, and the potential risks of the slope can be discovered in time, thereby achieving emergency response to slope collapse.

[0176] Step C12, determining a typical area of ​​the slope environment based on the regional slope risk coefficient and the regional block image data.

[0177] It can be understood that by combining the regional slope risk coefficient and the regional block image data, the stability and potential risks of the slope can be assessed more accurately, the risk areas can be identified, and preventive measures can be taken in advance.

[0178] The slope collapse detection and assessment method based on remote sensing technology proposed in this embodiment obtains a building information model and a plate moisture aggregation model, wherein the plate moisture aggregation model includes a soil moisture change model, a runoff change model, and a water-soil mixing change model; a slope scene model is established based on the remote sensing slope environment data, the building information model, the soil moisture change model, the runoff change model, and the water-soil mixing change model; and a typical slope environment area is determined based on the slope scene model, the slope restoration feature data, and the regional slope risk coefficient. The technical problem of how to obtain a slope scene model for slope collapse detection is solved. Compared with the prior art, the present application integrates the building information model and the plate moisture aggregation model, combines the remote sensing slope environment data, and constructs a comprehensive slope scene model, thereby determining the typical slope environment area, which not only significantly improves the monitoring and assessment accuracy of slope stability, but also optimizes resource allocation, strengthens disaster prevention and emergency response capabilities, and provides strong technical support for slope management and ecological protection, thereby effectively improving the long-term stability of urban infrastructure and the sustainable development capabilities of the city.

[0179] It should be noted that the above examples are only used to understand the present application and do not constitute a limitation on the slope collapse detection and assessment method based on remote sensing technology of the present application. More simple transformations based on this technical concept are all within the scope of protection of the present application.

[0180] This application also provides a slope collapse detection and evaluation device based on remote sensing technology, please refer to Figure 5, the slope collapse detection and evaluation device based on remote sensing technology includes:

[0181] An acquisition module 10 is used to acquire remote sensing slope environment data, slope restoration characteristic data and regional slope risk coefficient;

[0182] A processing module 20, for determining a typical area of ​​a slope environment based on the remote sensing slope environment data, the slope restoration characteristic data and the regional slope risk coefficient;

[0183] The execution module 30 is used to detect the environmental risk area and assess the regional slope environmental risk based on the typical area of ​​the slope environment.

[0184] The acquisition module 10 is also used to obtain slope displacement information, anchor stress information, support structure deformation information, slope crack distribution state information, slope deformation evolution process information, slope displacement rate angle information, environmental relationship information, on-site slope screening data, exploration risk hidden danger investigation screening data, drone exploration screening data, satellite image calibration screening data, typical area slope ground monitoring data and typical area slope test data;

[0185] Determine slope monitoring information based on the slope displacement information, the anchor stress information, the support structure deformation information, the slope crack distribution state information, the slope deformation evolution process information, the slope displacement rate angle information and the environmental relationship information, wherein the slope monitoring information includes deformation monitoring information, stress monitoring information and environmental monitoring information;

[0186] Obtaining remote sensing slope environmental data based on the deformation monitoring information, the stress monitoring information and the environmental monitoring information;

[0187] Determine slope restoration characteristic data based on the on-site slope screening data, the survey risk and hidden danger screening data, the drone survey screening data and the satellite image calibration screening data;

[0188] The regional slope risk coefficient is determined based on the typical regional slope ground monitoring data and the typical regional slope test data.

[0189] The processing module 20 is further used to obtain a building information model and a plate moisture aggregation model, wherein the plate moisture aggregation model includes a soil moisture change model, a runoff change model, and a water-soil mixing change model;

[0190] Establishing a slope scene model based on the remote sensing slope environmental data, the building information model, the soil moisture change model, the runoff change model and the water-soil mixing change model;

[0191] A typical area of ​​the slope environment is determined based on the slope scene model, the slope restoration feature data and the regional slope risk coefficient.

[0192] The processing module 20 is further used to obtain regional block image data based on the slope restoration feature data and the slope scene model;

[0193] A typical area of ​​the slope environment is determined based on the regional slope risk coefficient and the regional block image data.

[0194] The processing module 20 is also used to obtain geographic coordinate information, on-site plant collapse and displacement data, and surface runoff hydrological data;

[0195] Based on the slope restoration feature data, the slope scene model, the geographic coordinate information, the on-site plant collapse and displacement data and the surface runoff hydrological data, human-computer interactive interpretation is performed to determine the regional block image data.

[0196] The processing module 20 is further used to determine the splicing patch image information based on the slope restoration feature data, the on-site plant collapse and displacement data, the surface runoff hydrological data and the slope scene model;

[0197] Determine complete plaque image information based on the geographic coordinate information and the stitched plaque image information;

[0198] The complete plaque image information is interpreted interactively by humans and machines to obtain regional patch image data.

[0199] The execution module 30 is also used to obtain the troubleshooting condition information and the correction coefficient;

[0200] Based on the screening condition information, principal component analysis is performed on the typical area of ​​the slope environment to calculate the slope restoration effectiveness evaluation value;

[0201] The environmental risk of the regional slope is assessed by dividing the environmental risk areas based on the slope restoration effectiveness assessment value and the correction coefficient.

[0202] The slope collapse detection and evaluation device based on remote sensing technology provided by the present application adopts the slope collapse detection and evaluation method based on remote sensing technology in the above-mentioned embodiment, which can solve the technical problem of how to conduct comprehensive, real-time and automatic detection of slope stability. Compared with the prior art, the beneficial effects of the slope collapse detection and evaluation device based on remote sensing technology provided by the present application are the same as the beneficial effects of the slope collapse detection and evaluation method based on remote sensing technology provided by the above-mentioned embodiment, and the other technical features of the slope collapse detection and evaluation device based on remote sensing technology are the same as the features disclosed in the above-mentioned embodiment method, which will not be repeated here.

[0203] The present application provides a slope collapse detection and assessment device based on remote sensing technology, and the slope collapse detection and assessment device based on remote sensing technology includes: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the slope collapse detection and assessment method based on remote sensing technology in the above-mentioned embodiment one.

[0204] Reference below Figure 6 , which shows a schematic diagram of the structure of a slope collapse detection and evaluation device based on remote sensing technology suitable for implementing the embodiment of the present application. The slope collapse detection and evaluation device based on remote sensing technology in the embodiment of the present application may include but is not limited to mobile terminals such as mobile phones, laptop computers, digital broadcast receivers, PDAs (Personal Digital Assistants), PADs (Portable Application Descriptions), PMPs (Portable Media Players), vehicle-mounted terminals (such as vehicle-mounted navigation terminals), etc., and fixed terminals such as digital TVs, desktop computers, etc. Figure 6 The slope collapse detection and assessment equipment based on remote sensing technology shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present application.

[0205] like Figure 6As shown, the slope collapse detection and evaluation equipment based on remote sensing technology may include a processing device 1001 (such as a central processing unit, a graphics processing unit, etc.), which can perform various appropriate actions and processes according to the program stored in a read-only memory (ROM: Read Only Memory) 1002 or the program loaded from a storage device 1003 to a random access memory (RAM: Random Access Memory) 1004. In RAM1004, various programs and data required for the operation of the slope collapse detection and evaluation equipment based on remote sensing technology are also stored. The processing device 1001, ROM1002 and RAM1004 are connected to each other through a bus 1005. An input / output (I / O) interface 1006 is also connected to the bus. Typically, the following systems can be connected to the I / O interface 1006: input devices 1007 including, for example, a touch screen, a touchpad, a keyboard, a mouse, an image sensor, a microphone, an accelerometer, a gyroscope, etc.; output devices 1008 including, for example, a liquid crystal display (LCD), a speaker, a vibrator, etc.; storage devices 1003 including, for example, a magnetic tape, a hard disk, etc.; and communication devices 1009. The communication device 1009 can allow the slope collapse detection and evaluation device based on remote sensing technology to communicate with other devices wirelessly or by wire to exchange data. Although the slope collapse detection and evaluation device based on remote sensing technology with various systems is shown in the figure, it should be understood that it is not required to implement or have all the systems shown. More or fewer systems may be implemented or have alternatively.

[0206] In particular, according to the embodiments disclosed in the present application, the process described above with reference to the flowchart can be implemented as a computer software program. For example, the embodiments disclosed in the present application include a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program includes a program code for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from a network through a communication device, or installed from a storage device 1003, or installed from a ROM 1002. When the computer program is executed by the processing device 1001, the above-mentioned functions defined in the method of the embodiment disclosed in the present application are executed.

[0207] The slope collapse detection and evaluation equipment based on remote sensing technology provided by the present application adopts the slope collapse detection and evaluation method based on remote sensing technology in the above-mentioned embodiment, which can solve the technical problem of how to conduct comprehensive, real-time and automatic detection of slope stability. Compared with the prior art, the beneficial effects of the slope collapse detection and evaluation equipment based on remote sensing technology provided by the present application are the same as the beneficial effects of the slope collapse detection and evaluation method based on remote sensing technology provided by the above-mentioned embodiment, and the other technical features of the slope collapse detection and evaluation equipment based on remote sensing technology are the same as the features disclosed in the method of the previous embodiment, which will not be repeated here.

[0208] It should be understood that the various parts disclosed in this application can be implemented by hardware, software, firmware or a combination thereof. In the description of the above embodiments, specific features, structures, materials or characteristics can be combined in any one or more embodiments or examples in a suitable manner.

[0209] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

[0210] The present application provides a computer-readable storage medium having computer-readable program instructions (ie, computer programs) stored thereon, and the computer-readable program instructions are used to execute the slope collapse detection and assessment method based on remote sensing technology in the above-mentioned embodiment.

[0211] The computer-readable storage medium provided in the present application may be, for example, a USB flash drive, but is not limited to electrical, magnetic, optical, electromagnetic, infrared, or semiconductor systems, systems or devices, or any combination of the above. More specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In this embodiment, the computer-readable storage medium may be any tangible medium containing or storing a program that can be used by or in combination with an instruction execution system, system or device. The program code contained on the computer-readable storage medium may be transmitted using any appropriate medium, including but not limited to: wires, optical cables, RF (Radio Frequency), etc., or any suitable combination of the above.

[0212] The computer-readable storage medium may be included in the slope collapse detection and evaluation device based on remote sensing technology; or may exist independently without being assembled into the slope collapse detection and evaluation device based on remote sensing technology.

[0213] The above-mentioned computer-readable storage medium carries one or more programs. When the above-mentioned one or more programs are executed by the slope collapse detection and assessment equipment based on remote sensing technology, the slope collapse detection and assessment equipment based on remote sensing technology: obtains remote sensing slope environmental data, slope restoration characteristic data and regional slope risk coefficient; determines the typical area of ​​slope environment based on the remote sensing slope environmental data, the slope restoration characteristic data and the regional slope risk coefficient; detects the environmental risk area based on the typical area of ​​slope environment and assesses the regional slope environmental risk.

[0214] Computer program code for performing the operations of the present application may be written in one or more programming languages ​​or a combination thereof, including object-oriented programming languages ​​such as Java, Smalltalk, C++, and conventional procedural programming languages ​​such as "C" or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, as a separate software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0215] The flow chart and block diagram in the accompanying drawings illustrate the possible architecture, function and operation of the system, method and computer program product according to various embodiments of the present application. In this regard, each square box in the flow chart or block diagram can represent a module, a program segment or a part of a code, and the module, the program segment or a part of the code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the square box can also occur in a sequence different from that marked in the accompanying drawings. For example, two square boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each square box in the block diagram and / or flow chart, and the combination of the square boxes in the block diagram and / or flow chart can be implemented with a dedicated hardware-based system that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0216] The modules involved in the embodiments described in this application may be implemented by software or hardware, wherein the name of the module does not constitute a limitation on the unit itself in some cases.

[0217] The readable storage medium provided in this application is a computer-readable storage medium, which stores computer-readable program instructions (i.e., computer programs) for executing the above-mentioned slope collapse detection and evaluation method based on remote sensing technology, and can solve the technical problem of how to perform comprehensive, real-time and automated detection of slope stability. Compared with the prior art, the beneficial effects of the computer-readable storage medium provided in this application are the same as the beneficial effects of the slope collapse detection and evaluation method based on remote sensing technology provided in the above-mentioned embodiment, and will not be repeated here.

[0218] The above descriptions are only some embodiments of the present application, and are not intended to limit the patent scope of the present application. All equivalent structural changes made using the contents of the present application specification and drawings under the technical concept of the present application, or direct / indirect applications in other related technical fields are included in the patent protection scope of the present application.

Claims

1. A slope collapse detection and assessment method based on remote sensing technology, characterized in that: The method includes: Obtain remote sensing slope environmental data, slope restoration characteristic data and regional slope risk coefficient; Determine a typical area of ​​slope environment based on the remote sensing slope environment data, the slope restoration characteristic data and the regional slope risk coefficient; The environmental risk of the regional slope is assessed based on the typical area detection environmental risk area of ​​the slope environment.

2. The method according to claim 1, characterized in that The steps of obtaining remote sensing slope environment data, slope restoration characteristic data and regional slope risk coefficient include: Obtain slope displacement information, anchor stress information, support structure deformation information, slope crack distribution status information, slope deformation evolution process information, slope displacement rate angle information, environmental relationship information, on-site slope screening data, exploration risk hidden danger screening data, UAV exploration screening data, satellite image calibration screening data, typical area slope ground monitoring data and typical area slope test data; Determine slope monitoring information based on the slope displacement information, the anchor stress information, the support structure deformation information, the slope crack distribution state information, the slope deformation evolution process information, the slope displacement rate angle information and the environmental relationship information, wherein the slope monitoring information includes deformation monitoring information, stress monitoring information and environmental monitoring information; Obtaining remote sensing slope environmental data based on the deformation monitoring information, the stress monitoring information and the environmental monitoring information; Determine slope restoration characteristic data based on the on-site slope screening data, the survey risk and hidden danger screening data, the drone survey screening data and the satellite image calibration screening data; The regional slope risk coefficient is determined based on the typical regional slope ground monitoring data and the typical regional slope test data.

3. The method according to claim 1, characterized in that The step of determining a typical area of ​​the slope environment based on the remote sensing slope environment data, the slope restoration characteristic data and the regional slope risk coefficient comprises: Acquire a building information model and a plate moisture aggregation model, wherein the plate moisture aggregation model includes a soil moisture change model, a runoff change model, and a water-soil mixing change model; Establishing a slope scene model based on the remote sensing slope environmental data, the building information model, the soil moisture change model, the runoff change model and the water-soil mixing change model; A typical area of ​​the slope environment is determined based on the slope scene model, the slope restoration feature data and the regional slope risk coefficient.

4. The method according to claim 3, characterized in that The step of determining the typical area of ​​the slope environment based on the slope scene model, the slope restoration feature data and the regional slope risk coefficient comprises: Acquire regional block image data based on the slope restoration feature data and the slope scene model; A typical area of ​​the slope environment is determined based on the regional slope risk coefficient and the regional block image data.

5. The method according to claim 4, characterized in that The step of acquiring regional block image data based on the slope restoration feature data and the slope scene model comprises: Obtain geographic coordinate information, on-site plant collapse and displacement data, and surface runoff hydrological data; Based on the slope restoration feature data, the slope scene model, the geographic coordinate information, the on-site plant collapse and displacement data and the surface runoff hydrological data, human-computer interactive interpretation is performed to determine the regional block image data.

6. The method according to claim 5, characterized in that The step of performing human-computer interactive interpretation to determine regional block image data based on the slope restoration feature data, the slope scene model, the geographic coordinate information, the on-site plant collapse and displacement data, and the surface runoff hydrological data comprises: Determine the splicing patch image information based on the slope restoration feature data, the on-site plant collapse and displacement data, the surface runoff hydrological data and the slope scene model; Determine complete plaque image information based on the geographic coordinate information and the stitched plaque image information; The complete plaque image information is interpreted interactively by humans and machines to obtain regional plaque image data.

7. The method according to claim 1, characterized in that Before the step of assessing the regional slope environmental risk based on the typical area of ​​the slope environment detecting environmental risk area, the step further includes: Obtain troubleshooting condition information and correction coefficients; Based on the screening condition information, principal component analysis is performed on the typical area of ​​the slope environment to calculate the slope restoration effectiveness evaluation value; The environmental risk of the slope in the assessment area is assessed by dividing the environmental risk area based on the slope restoration effectiveness assessment value and the correction coefficient.

8. A slope collapse detection and evaluation device based on remote sensing technology, characterized in that: The device comprises: An acquisition module is used to obtain remote sensing slope environment data, slope restoration characteristic data and regional slope risk coefficient; A processing module, used for determining a typical area of ​​slope environment based on the remote sensing slope environment data, the slope restoration characteristic data and the regional slope risk coefficient; An execution module is used to detect environmental risk areas and assess regional slope environmental risks based on the typical areas of the slope environment.

9. A slope collapse detection and assessment device based on remote sensing technology, characterized in that: The device comprises: a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the computer program is configured to implement the steps of the slope collapse detection and assessment method based on remote sensing technology as described in any one of claims 1 to 7.

10. A storage medium, characterized in that: The storage medium is a computer-readable storage medium, and a computer program is stored on the storage medium. When the computer program is executed by a processor, the steps of the slope collapse detection and evaluation method based on remote sensing technology as described in any one of claims 1 to 7 are implemented.

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