Visual landslide treatment method and device based on AR technology

Abstract

The invention relates to the technical field of landslide disaster treatment, in particular to a visual landslide treatment method and device based on the AR technology, and the method comprises the steps: obtaining landslide mass data of a target work area, generating a landslide prediction result, and carrying out the AR presentation of the landslide prediction result, so as to receive a treatment strategy obtained based on the AR presentation result, and simulating the treatment strategy to predict a landslide treatment result, performing AR presentation on the landslide treatment result to determine a treatment effect, and implementing the treatment strategy under the condition that the treatment effect meets a preset expected condition, otherwise, receiving a new treatment strategy again. Therefore, the problems of data repeated acquisition and resource waste caused by lack of a unified data management system in related technologies are solved; the visualization technology bureau is limited to pictures and tables and is difficult to reflect actual conditions; governance personnel are limited by conditions and are difficult to investigate on site, so that the understanding of landslide is influenced; and the treatment scheme lacks a visual display means to influence the effect evaluation and optimization.

Description

Technical Field

[0001] The present application relates to the technical field of landslide disaster management, and in particular to a visualized landslide management method and device based on AR technology. Background Art

[0002] In the related technology, soil moisture sensors and monitoring and early warning units are usually used to monitor the moisture content of slope soil. When the moisture content reaches a dangerous level that may cause a landslide, a landslide warning is issued in a timely manner.

[0003] However, there are many problems in related technologies that need to be solved urgently: the lack of a unified data management system leads to repeated data collection and waste of resources; visualization technology is limited to pictures and tables and it is difficult to reflect the actual situation; management personnel are limited by conditions and find it difficult to conduct on-site surveys, which affects their understanding of landslides; and the management plan lacks intuitive display methods, which affects effect evaluation and optimization. Summary of the invention

[0004] The present application provides a method and device for visual landslide control based on AR technology to solve the problems in related technologies, such as the lack of a unified data management system leading to repeated data collection and waste of resources; the limitation of visualization technology to pictures and tables making it difficult to reflect the actual situation; the difficulty of on-site inspection for control personnel due to limited conditions affecting their understanding of landslides; and the lack of intuitive display means for control plans affecting effect evaluation and optimization.

[0005] The first aspect of the present application provides a visual landslide control method based on AR technology, comprising the following steps: acquiring landslide body data of a target work area; generating a landslide prediction result based on the landslide body data, and performing AR presentation of the landslide prediction result to receive a control strategy based on the AR presentation result; simulating the control strategy to predict the landslide control result, and performing AR presentation of the landslide control result to determine the control effect, and implementing the control strategy when the control effect meets the preset expected conditions, otherwise receiving a new control strategy again.

[0006] Through the above technical solution, the embodiment of the present application can present landslide prediction results through AR to assist decision-making, provide a realistic experience to help accurate judgment, and improve decision-making efficiency and quality; use simulation prediction to achieve forward-looking planning, use dynamic evaluation to promote continuous improvement of the plan, enhance the systematicness and coordination of governance work, and improve the overall effectiveness of landslide governance.

[0007] Optionally, in one embodiment of the present application, the landslide body data includes at least one of geology, hydrology, meteorology, rock and soil properties and landslide history.

[0008] Through the above technical solution, the embodiment of the present application can obtain multiple landslide data, integrate multiple types of data, and consider multiple factors to provide a comprehensive decision-making basis for each link of landslide management, avoid single factor analysis deviation, and thus improve the accuracy of subsequent landslide analysis.

[0009] Optionally, in one embodiment of the present application, after acquiring the landslide body data of the target work area, it also includes: performing missing value processing on the landslide body data; performing outlier processing on the landslide body data; performing data deduplication processing on the landslide body data; and performing data format unification processing on the landslide body data.

[0010] Through the above technical scheme, the embodiment of the present application can avoid analysis deviations caused by incomplete data through missing value processing, thereby ensuring the comprehensiveness and accuracy of subsequent research on the landslide body; outlier processing can exclude unreasonable data that may be generated by erroneous measurements or special circumstances, improve data quality, and make the analysis results more reliable; data deduplication processing reduces redundant data, improves data processing efficiency, and saves storage resources; unified data format processing facilitates the integration and analysis of data from different sources, is conducive to building a unified analysis system, and improves the scientificity and efficiency of the entire landslide body data processing process.

[0011] Optionally, in one embodiment of the present application, generating a landslide prediction result based on the landslide body data includes: performing numerical simulation based on the landslide body data to obtain at least one of information of landslide occurrence probability, occurrence event, and occurrence unit in the prediction result.

[0012] Through the above technical scheme, the embodiment of the present application can conduct risk assessment through the probability of landslide occurrence, prepare preventive measures for the potentially affected areas in advance, quantify the risk level, and provide a basis for resource allocation; determine the relevant information of the event, such as but not limited to the type and sliding direction of the landslide, so that the managers and relevant departments can formulate targeted response strategies, such as but not limited to planning evacuation routes, determining the key locations of protective projects, etc.; clarifying the relevant information of the occurrence unit is conducive to accurately defining the affected scope, facilitating the accurate arrangement of rescue, protection and reconstruction work, thereby improving efficiency, reducing losses and enhancing the scientific nature of decision-making in many aspects such as landslide control, prevention and response.

[0013] The second aspect of the present application provides a visual landslide control device based on AR technology, including: an acquisition module, used to acquire landslide body data of a target work area; a display module, used to generate a landslide prediction result based on the landslide body data, and perform AR presentation of the landslide prediction result to receive a control strategy obtained based on the AR presentation result; a control module, used to simulate the control strategy to predict the landslide control result, and perform AR presentation of the landslide control result to determine the control effect, and implement the control strategy when the control effect meets the preset expected conditions, otherwise receive a new control strategy again.

[0014] Through the above technical solution, the embodiment of the present application can present landslide prediction results through AR to assist decision-making, provide a realistic experience to help accurate judgment, and improve decision-making efficiency and quality; use simulation prediction to achieve forward-looking planning, use dynamic evaluation to promote continuous improvement of the plan, enhance the systematicness and coordination of governance work, and improve the overall effectiveness of landslide governance.

[0015] Optionally, in one embodiment of the present application, the landslide body data includes at least one of geology, hydrology, meteorology, rock and soil properties and landslide history.

[0016] Through the above technical solution, the embodiment of the present application can obtain multiple landslide data, integrate multiple types of data, and consider multiple factors to provide a comprehensive decision-making basis for each link of landslide management, avoid single factor analysis deviation, and thus improve the accuracy of subsequent landslide analysis.

[0017] Optionally, in one embodiment of the present application, the display module includes: a first processing unit for performing missing value processing on the landslide body data; a second processing unit for performing outlier processing on the landslide body data; a third processing unit for performing data deduplication processing on the landslide body data; and a fourth processing unit for performing data format unification processing on the landslide body data.

[0018] Through the above technical scheme, the embodiment of the present application can avoid analysis deviations caused by incomplete data through missing value processing, thereby ensuring the comprehensiveness and accuracy of subsequent research on the landslide body; outlier processing can exclude unreasonable data that may be generated by erroneous measurements or special circumstances, improve data quality, and make the analysis results more reliable; data deduplication processing reduces redundant data, improves data processing efficiency, and saves storage resources; unified data format processing facilitates the integration and analysis of data from different sources, is conducive to building a unified analysis system, and improves the scientificity and efficiency of the entire landslide body data processing process.

[0019] Optionally, in one embodiment of the present application, the display module includes: a numerical simulation unit, which is used to perform numerical simulation based on the landslide body data to obtain at least one of the information of landslide occurrence probability, occurrence event, and occurrence unit in the prediction result.

[0020] Through the above technical scheme, the embodiment of the present application can conduct risk assessment through the probability of landslide occurrence, prepare preventive measures for the potentially affected areas in advance, quantify the risk level, and provide a basis for resource allocation; determine the relevant information of the event, such as but not limited to the type and sliding direction of the landslide, so that the managers and relevant departments can formulate targeted response strategies, such as but not limited to planning evacuation routes, determining the key locations of protective projects, etc.; clarifying the relevant information of the occurrence unit is conducive to accurately defining the affected scope, facilitating the accurate arrangement of rescue, protection and reconstruction work, thereby improving efficiency, reducing losses and enhancing the scientific nature of decision-making in many aspects such as landslide control, prevention and response.

[0021] The third aspect of the present application provides an electronic device, including: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement a visualized landslide control method based on AR technology as described in the above embodiment.

[0022] The fourth aspect of the present application provides a computer-readable storage medium, which stores a computer program. When the program is executed by a processor, it implements the above-mentioned visualized landslide control method based on AR technology.

[0023] The fifth aspect of the present application provides a computer program product, including a computer program, which, when executed, is used to implement the above-mentioned visualized landslide control method based on AR technology.

[0024] The embodiments of the present application can present landslide prediction results through AR to assist decision-making, provide a realistic experience to improve decision-making efficiency and quality, and can also use simulation prediction, forward-looking planning, and dynamic evaluation to improve plans, enhance the systematic and coordinated nature of governance and improve overall efficiency; obtain multiple landslide data, comprehensively consider multiple factors, avoid single factor deviation and improve analysis accuracy; perform missing value, outlier, de-duplication and unified format processing on landslide body data to avoid analysis deviation, improve data quality, improve efficiency, save resources and build a unified analysis system; conduct risk assessment through landslide probability, formulate response strategies based on event information, and accurately arrange work based on the information of the occurrence unit, so as to improve efficiency, reduce losses and enhance scientific decision-making in all aspects of landslide management.

[0025] Additional aspects and advantages of the present application will be given in part in the description below, and in part will become apparent from the description below, or will be learned through the practice of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] The above and / or additional aspects and advantages of the present application will become apparent and easily understood from the following description of the embodiments in conjunction with the accompanying drawings, in which:

[0027] Figure 1 A schematic diagram of the structure of a visualized landslide control system based on AR technology according to an embodiment of the present application;

[0028] Figure 2 A flowchart of a method for visualizing landslide control based on AR technology provided according to an embodiment of the present application;

[0029] Figure 3 A schematic diagram of visualized landslide management data flow based on AR technology according to a specific embodiment of the present application;

[0030] Figure 4 A schematic diagram of the structure of a visual landslide control device based on AR technology according to an embodiment of the present application;

[0031] Figure 5 The figure is a structural example diagram of an electronic device provided according to an embodiment of the present application. DETAILED DESCRIPTION

[0032] Embodiments of the present application are described in detail below, and examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present application, and should not be construed as limiting the present application.

[0033] The following describes the visualization landslide treatment method and device based on AR technology of the embodiment of the present application with reference to the accompanying drawings. In view of the problems that the lack of a unified data management system in the related technologies mentioned in the background technology center above leads to repeated data collection and resource waste; the visualization technology is limited to pictures and tables and it is difficult to reflect the actual situation; the management personnel are limited by conditions and it is difficult to conduct field surveys, which affects the understanding of landslides; the lack of intuitive display means in the management scheme affects the effect evaluation and optimization, the present application provides a visualization landslide treatment method based on AR technology, in which multiple landslide data can be obtained, and the landslide prediction results are presented by AR to assist decision-making, provide a realistic experience to help accurate judgment, improve decision-making efficiency and quality, use simulation prediction to achieve forward-looking planning, and promote continuous improvement of the scheme with the help of dynamic evaluation, thereby promoting the optimization and adjustment of the scheme and the timely evaluation of the management effect, improving the efficiency and accuracy of landslide treatment, and providing strong technical support for landslide prevention and control work. Thus, the problems that the lack of a unified data management system in the related technologies leads to repeated data collection and resource waste; the visualization technology is limited to pictures and tables and it is difficult to reflect the actual situation; the management personnel are limited by conditions and it is difficult to conduct field surveys, which affects the understanding of landslides; the lack of intuitive display means in the management scheme affects the effect evaluation and optimization are solved.

[0034] In view of the fact that the visualized landslide control method based on AR technology in the embodiment of the present application is based on a visualized landslide control system based on AR technology, the system is first introduced here to help understand the principle of the method.

[0035] like Figure 1 As shown, Figure 1 The visualized landslide control system 1 based on AR technology of the embodiment of the present application includes: a data acquisition system 2, a data processing system 3 and a data presentation system 4. The data acquisition system 2 includes a field survey 5, a geological exploration 6, a remote sensing technology 7, a three-dimensional laser scanning technology 8 and a monitoring system 9; the data processing system 3 includes a data cleaning system 10, a data processing system 11, a numerical simulation system 12 and a data output system 13; the data presentation system 4 includes a field presentation system 14, a prediction presentation system 15 and a control presentation system 16.

[0036] Specifically, Figure 2 A flow chart of a visualized landslide control method based on AR technology provided in an embodiment of the present application.

[0037] like Figure 2 As shown, the visual landslide control method based on AR technology includes the following steps:

[0038] In step S201, the landslide body data of the target work area is obtained.

[0039] It can be understood that the target work area usually refers to those areas where there is a risk of landslide due to factors such as geological structure, climatic conditions or human activities. Landslide volume data refers to various information and measurement results related to landslide phenomena. The purpose of obtaining landslide volume data in the target work area is to evaluate the stability of the area, predict possible landslide events, and provide a scientific basis for disaster prevention and mitigation.

[0040] Optionally, in one embodiment of the present application, the landslide body data includes at least one of geological, hydrological, meteorological, geotechnical properties and landslide history data.

[0041] In the actual implementation process, the embodiment of the present application obtains landslide data through technical means such as field investigation, geological exploration, remote sensing technology and three-dimensional laser scanning. Among them, field investigation includes but is not limited to visual observation, instrument measurement, communication with local residents and other means to understand the key information such as the shape, scale, geological structure, soil and rock properties, and historical situation of the landslide; geological exploration includes but is not limited to geological drilling, geological pit exploration and geological geophysical exploration. Geological drilling can use certain drilling equipment to obtain underground cores and find out the geological conditions of the landslide. Geological pit exploration can directly observe the natural state of the rock and soil layers of the landslide by digging pits, grooves, wells, and holes, revealing the geological structure of each layer, and geological geophysical exploration can detect geological conditions such as stratum lithology and geological structure by observing and studying the changes of various geophysical fields; remote sensing technology can use aerial or satellite remote sensing images to obtain information about the landslide area and analyze the shape and movement characteristics of the landslide; three-dimensional laser scanning technology can use a laser scanner to emit a laser beam and receive the reflected signal to calculate and obtain the three-dimensional coordinate data of the landslide surface, so as to achieve high-precision three-dimensional modeling of the landslide.

[0042] Furthermore, the change of the landslide body data is monitored by the monitoring system in the data acquisition system, and the monitoring system includes a level, a strain gauge, an inclinometer, a displacement meter, a groundwater level sensor, and an acceleration sensor. The embodiment of the present application uses a level to monitor the settlement of the landslide body and measure the elevation change of the ground; uses a strain gauge to measure the strain change of the landslide body; uses an inclinometer to monitor the inclination angle and direction change of the landslide body; uses a displacement meter to measure the displacement of the landslide body in different directions; uses a groundwater level sensor to monitor the groundwater level change in the landslide area; and uses an acceleration sensor to detect the acceleration change of the landslide body.

[0043] The embodiments of the present application can obtain data through a variety of technical means, field investigations can obtain multiple key information, different geological exploration methods have different detection effects, and remote sensing technology and three-dimensional laser scanning technology can obtain different characteristic information. Furthermore, a monitoring system containing multiple sensors is used to monitor data changes, and different sensors perform their respective functions to monitor changes in different aspects of the landslide body. Through multi-means and all-round data acquisition and monitoring, the ability to recognize and respond to the landslide body is improved.

[0044] In step S202, a prediction result of the landslide is generated according to the landslide body data, and the prediction result of the landslide is presented in an AR manner to receive a control strategy obtained based on the AR presentation result.

[0045] It is understood that the prediction results of landslides are based on the acquired landslide body data, and are obtained through specific algorithms, models or analysis methods to obtain estimated information on aspects including but not limited to the possibility of landslide occurrence, landslide scale, landslide time, and landslide direction. AR presentation refers to displaying the prediction results of landslides in an augmented reality manner, and by combining virtual landslide prediction information with the real target work area scene, a more intuitive and immersive experience is provided to better understand the landslide prediction results and formulate governance strategies.

[0046] Optionally, in one embodiment of the present application, after acquiring the landslide body data of the target work area, it also includes: performing missing value processing on the landslide body data; performing outlier processing on the landslide body data; performing data deduplication processing on the landslide body data; and performing data format unification processing on the landslide body data.

[0047] In the actual implementation process, the embodiment of the present application performs missing value processing, outlier processing, data deduplication processing and data format unification processing through the data cleaning system. Missing value processing processes the missing values ​​of the collected data by deletion, interpolation or statistical substitution; outlier processing processes the outliers of the collected data by deletion, replacement and modification; data deduplication processing can use specific algorithms to detect and delete duplicate data; data format unification processing can convert and correct inconsistent data accordingly.

[0048] Furthermore, after various data processing operations, the processed data are analyzed by a data analysis system, which uses statistics, geology, geographic information system and other methods to analyze the cleaned data, calculate the displacement, analyze the shape and size of the landslide blocks, and evaluate the potential danger of the landslide.

[0049] Optionally, in one embodiment of the present application, generating a landslide prediction result based on landslide body data includes: performing numerical simulation based on the landslide body data to obtain at least one of information of landslide occurrence probability, occurrence event, and occurrence unit in the prediction result.

[0050] On the one hand, numerical simulation is based on the data processed by data analysis to establish a landslide prediction model. The establishment of a landslide prediction model is not the application of a single method, but can adopt a variety of numerical simulation methods, such as but not limited to the finite element method, discrete element method, finite difference method and other methods. These methods have their own advantages. For example, the finite element method can discretize the complex landslide structure into multiple finite elements, and simulate the state of the entire landslide by analyzing the mechanical behavior of each unit; the discrete element method focuses on the simulation of discrete particle systems, which is suitable for studying the movement and interaction of rock and soil particles in the landslide body; the finite difference method solves the physical process of the landslide body by differential approximation of partial differential equations. In order to achieve the efficient application of these numerical simulation methods, software including but not limited to FLAC, RAMMS, GeoStudio and other software can be used for simulation. These software can accurately simulate the landslide phenomenon according to the data input by the user and the selected numerical simulation method, and then predict multiple key information of the landslide, including but not limited to the probability of landslide, the time when the landslide may occur and the scope of the landslide. Through these prediction information, a scientific and powerful basis can be provided for the prevention, control and related decision-making of landslides.

[0051] On the other hand, the embodiment of the present application can generate a landslide body model based on the acquired field data through the field presentation system and display it through AR technology, and can also generate a landslide body prediction model based on the prediction results of numerical simulation through the prediction presentation system and display it through AR technology. Subsequently, the staff formulates a corresponding treatment plan based on the presented results and transmits the plan to the data processing system.

[0052] The embodiment of the present application can process missing values, abnormal values, data deduplication and format unification through the data cleaning system after obtaining the landslide body data, ensure data quality, and lay a good foundation for subsequent analysis. Then, the data analysis system is used to analyze the processed data using a multidisciplinary method to comprehensively evaluate the potential danger of landslides. In terms of landslide prediction, a landslide prediction model is established based on the processed data, and a variety of numerical simulation methods are used, each with its own advantages. Professional software can also be used to accurately simulate landslide phenomena and predict a variety of key information, providing a scientific basis for decision-making. Furthermore, the landslide prediction results and field data are presented separately through AR technology, and the field model and prediction model of the landslide body are intuitively displayed, which is convenient for staff to understand, so as to formulate corresponding governance plans. By combining data processing, multi-method prediction and augmented reality presentation, the scientificity and accuracy of landslide prevention and governance decisions are effectively improved.

[0053] In step S203, the control strategy is simulated to predict the landslide control result, and the landslide control result is presented in AR to determine the control effect, and the control strategy is implemented if the control effect meets the preset expected conditions, otherwise a new control strategy is received again.

[0054] It is understandable that the expected conditions are standards or goals set in advance before simulating the governance strategy and evaluating the governance effect. These conditions may be based on, but are not limited to, relevant safety standards, work requirements, or environmental protection requirements.

[0055] In some embodiments, the governance strategy is a set of carefully planned solutions designed to deal with the complex geological disaster of landslide. It includes a variety of measures, such as engineering governance measures for the landslide body itself, such as reinforcement measures for the landslide body (such as but not limited to the use of anchor cables, anti-slide piles, etc. to enhance the stability of the landslide body), and measures to transform the surrounding environment (such as but not limited to setting up a reasonable drainage system to avoid the adverse effects of groundwater or surface water on the landslide body), and protection measures for people and property in areas that may be affected by landslides (such as but not limited to setting up early warning areas, formulating evacuation routes, etc.). By converting various measures in the governance strategy into parameter inputs in the model, such as inputting parameters such as the number, length, and diameter of anti-slide piles into the model, the drainage capacity of the drainage system, pipeline layout, and other information are integrated into the model. Based on the model and parameter input, the landslide governance results are predicted. This result is multifaceted. From the perspective of the stability of the landslide body itself, it is predicted whether the anti-slide force of the landslide body is effectively enhanced after governance, such as calculating whether the safety factor of the landslide body is increased to a safe range. In terms of the impact on the surrounding environment, it will be predicted whether the control measures will have a positive or negative impact on the surrounding ecological environment (such as but not limited to vegetation coverage, soil erosion, etc.), for example, it will be predicted whether the drainage system will cause the surrounding soil moisture content to decrease excessively, thereby affecting vegetation growth. In terms of the protection of personnel and property, it will be predicted whether personnel can be warned in time and evacuated safely, and whether property can be effectively protected at different landslide risk levels (such as high risk, medium risk, and low risk) after control.

[0056] Furthermore, by presenting the treatment effect through AR, relevant personnel (such as but not limited to experts, decision makers, etc.) can intuitively determine the treatment effect, such as checking the overall stability improvement of the entire landslide body from a macro perspective, checking the impact of the treatment measures on the local landslide body from a micro perspective, and judging whether the treatment effect meets the requirements according to various pre-set standards (such as but not limited to engineering standards, environmental standards, safety standards, etc.). For example, check whether the deformation of the landslide body after treatment is controlled within the allowable range, check whether the drainage system effectively reduces the water content of the landslide body, etc.

[0057] In some cases, if the governance effect meets the expected conditions after being determined through AR presentation, the governance strategy can be implemented. On the contrary, if the governance effect does not meet the expected conditions, a new governance strategy needs to be received again. In this case, relevant personnel (such as but not limited to the design team, experts, etc.) need to re-evaluate the situation of the landslide, re-formulate the governance strategy, and then conduct a series of processes such as simulation, AR presentation and governance effect evaluation again until a governance strategy that meets the expected conditions is found.

[0058] The following is a specific example to illustrate the visualization landslide management data flow process based on AR technology in the embodiment of the present application. Figure 3 As shown, the data collected by the data acquisition system can be passed to the data processing system, and the data processed by the data processing system can be passed to the data presentation system, thereby realizing one-time data collection and repeated use, improving data utilization efficiency, and enhancing data continuity.

[0059] The embodiments of the present application can simulate the governance strategy and predict various landslide governance results, which is helpful to formulate scientific and reasonable governance strategies. By presenting the governance effect through AR, relevant personnel can intuitively determine whether the governance meets the standards from macro and micro perspectives. If the governance effect does not meet the conditions, it can be re-planned until it meets the standards, thereby ensuring the effectiveness of the governance. In addition, the data can be collected once and reused during the data flow process, which improves the efficiency and continuity of data utilization.

[0060] According to the visualized landslide control method based on AR technology proposed in the embodiment of the present application, multiple landslide data can be obtained, and the landslide prediction results can be presented through AR to assist decision-making, provide a realistic experience to help accurate judgment, improve decision-making efficiency and quality, use simulation prediction to achieve forward-looking planning, and promote continuous improvement of the plan with the help of dynamic evaluation, thereby promoting the optimization and adjustment of the plan and the timely evaluation of the control effect, improving the efficiency and accuracy of landslide control, and providing strong technical support for landslide prevention and control work.

[0061] Next, the visualized landslide control device based on AR technology proposed in the embodiment of the present application is described with reference to the accompanying drawings.

[0062] Figure 4 It is a block diagram of a visualized landslide control device based on AR technology according to an embodiment of the present application.

[0063] like Figure 4 As shown, the visualized landslide control device 10 based on AR technology includes: an acquisition module 100 , a display module 200 and a control module 300 .

[0064] Specifically, the acquisition module 100 is used to acquire the landslide body data of the target work area.

[0065] The display module 200 is used to generate a landslide prediction result according to the landslide body data, and to perform AR presentation on the landslide prediction result, so as to receive a control strategy obtained based on the AR presentation result.

[0066] The governance module 300 is used to simulate the governance strategy to predict the landslide governance results, and to present the landslide governance results in AR to determine the governance effect, and to implement the governance strategy if the governance effect meets the preset expected conditions, otherwise to receive a new governance strategy again.

[0067] Optionally, in one embodiment of the present application, the landslide body data includes at least one of geology, hydrology, meteorology, rock and soil properties and landslide history.

[0068] Optionally, in one embodiment of the present application, the display module 200 includes: a first processing unit, a second processing unit, a third processing unit and a fourth processing unit.

[0069] Wherein, the first processing unit is used to process missing values ​​of landslide body data.

[0070] The second processing unit is used for performing outlier processing on the landslide body data.

[0071] The third processing unit is used to perform data deduplication processing on the landslide body data.

[0072] The fourth processing unit is used for processing the landslide body data in a unified data format.

[0073] Optionally, in one embodiment of the present application, the display module 200 includes: a numerical simulation unit for performing numerical simulation based on landslide body data to obtain at least one of information of landslide occurrence probability, occurrence event, and occurrence unit in the prediction result.

[0074] It should be noted that the aforementioned explanation of the embodiment of the visualized landslide control method based on AR technology is also applicable to the visualized landslide control device based on AR technology in this embodiment, and will not be repeated here.

[0075] According to the AR technology-based visualization landslide control device proposed in the embodiment of the present application, multiple landslide data can be obtained, and landslide prediction results can be presented through AR to assist decision-making, provide a realistic experience to help accurate judgment, improve decision-making efficiency and quality, use simulation prediction to achieve forward-looking planning, and promote continuous improvement of the plan with the help of dynamic evaluation, thereby promoting the optimization and adjustment of the plan and the timely evaluation of the control effect, improving the efficiency and accuracy of landslide control, and providing strong technical support for landslide prevention and control work.

[0076] Figure 5 A schematic diagram of the structure of an electronic device provided in an embodiment of the present application. The electronic device may include:

[0077] A memory 501 , a processor 502 , and a computer program stored in the memory 501 and executable on the processor 502 .

[0078] When the processor 502 executes the program, the visualized landslide control method based on AR technology provided in the above embodiment is implemented.

[0079] Furthermore, the electronic device further comprises:

[0080] The communication interface 503 is used for communication between the memory 501 and the processor 502 .

[0081] The memory 501 is used to store computer programs that can be executed on the processor 502 .

[0082] The memory 501 may include a high-speed RAM memory, and may also include a non-volatile memory (non-volatile memory), such as at least one disk memory.

[0083] If the memory 501, the processor 502 and the communication interface 503 are implemented independently, the communication interface 503, the memory 501 and the processor 502 can be connected to each other through a bus and communicate with each other. The bus can be an Industry Standard Architecture (ISA) bus, a Peripheral Component (PCI) bus or an Extended Industry Standard Architecture (EISA) bus. The bus can be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 5 Only one thick line is used in the diagram, but this does not mean that there is only one bus or only one type of bus.

[0084] Optionally, in a specific implementation, if the memory 501, the processor 502 and the communication interface 503 are integrated on a chip, the memory 501, the processor 502 and the communication interface 503 can communicate with each other through an internal interface.

[0085] The processor 502 may be a central processing unit (CPU), or an application specific integrated circuit (ASIC), or one or more integrated circuits configured to implement the embodiments of the present application.

[0086] The embodiment of the present application also provides a computer-readable storage medium on which a computer program is stored. When the program is executed by a processor, the above-mentioned visualized landslide control method based on AR technology is implemented.

[0087] The embodiment of the present application also provides a computer program product, including a computer program, which, when executed, is used to implement the above-mentioned visualized landslide control method based on AR technology.

[0088] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present application. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or N embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples, without contradiction.

[0089] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Therefore, a feature defined as "first" or "second" may explicitly or implicitly include at least one of the features. In the description of this application, "N" means at least two, such as two, three, etc., unless otherwise clearly and specifically defined.

[0090] Any process or method description in a flowchart or otherwise described herein may be understood to represent a module, fragment or portion of code comprising one or N executable instructions for implementing the steps of a custom logical function or process, and the scope of the preferred embodiments of the present application includes alternative implementations in which functions may not be performed in the order shown or discussed, including performing functions in a substantially simultaneous manner or in reverse order depending on the functions involved, which should be understood by technicians in the technical field to which the embodiments of the present application belong.

[0091] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute instructions), or in combination with these instruction execution systems, devices or apparatuses. For the purpose of this specification, "computer-readable medium" can be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in combination with these instruction execution systems, devices or apparatuses. More specific examples of computer-readable media (a non-exhaustive list) include the following: an electrical connection with one or N wirings (electronic devices), a portable computer disk box (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), a fiber optic device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be paper or other suitable medium on which the program is printed, since the program may be obtained electronically by optically scanning the paper or other medium and then editing, interpreting or processing in other suitable ways as necessary and then storing it in a computer memory.

[0092] It should be understood that the various parts of the present application can be implemented by hardware, software, firmware or a combination thereof. In the above embodiment, the N steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. If implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0093] A person skilled in the art may understand that all or part of the steps in the method for implementing the above-mentioned embodiment may be completed by instructing related hardware through a program, and the program may be stored in a computer-readable storage medium, which, when executed, includes one or a combination of the steps of the method embodiment.

[0094] In addition, each functional unit in each embodiment of the present application may be integrated into a processing module, or each unit may exist physically separately, or two or more units may be integrated into one module. The above-mentioned integrated module may be implemented in the form of hardware or in the form of a software functional module. If the integrated module is implemented in the form of a software functional module and sold or used as an independent product, it may also be stored in a computer-readable storage medium.

[0095] The storage medium mentioned above may be a read-only memory, a magnetic disk or an optical disk, etc. Although the embodiments of the present application have been shown and described above, it can be understood that the above embodiments are exemplary and cannot be understood as limiting the present application. A person of ordinary skill in the art may change, modify, replace and modify the above embodiments within the scope of the present application.

Claims

1. A visual landslide control method based on AR technology, characterized in that: The following steps are involved: Obtain landslide data in the target work area; Generate a landslide prediction result according to the landslide body data, and present the landslide prediction result in an AR format to receive a governance strategy based on the AR presentation result; The control strategy is simulated to predict the landslide control result, and the landslide control result is presented in AR to determine the control effect, and the control strategy is implemented when the control effect meets the preset expected conditions, otherwise a new control strategy is received again.

2. The method according to claim 1, characterized in that The landslide body data includes at least one of geological, hydrological, meteorological, rock and soil properties and landslide history data.

3. The method according to claim 1, characterized in that After obtaining the landslide body data of the target work area, the method further includes: Performing missing value processing on the landslide body data; Performing outlier processing on the landslide body data; Performing data deduplication processing on the landslide body data; The landslide body data is processed in a unified data format.

4. The method according to claim 1, characterized in that: The generating of the landslide prediction result according to the landslide body data comprises: Numerical simulation is performed based on the landslide body data to obtain at least one of the information of landslide occurrence probability, occurrence event, and occurrence unit in the prediction result.

5. A visual landslide control device based on AR technology, characterized in that: include: An acquisition module is used to obtain the landslide body data of the target work area; A display module, used for generating a landslide prediction result according to the landslide body data, and performing AR presentation on the landslide prediction result, so as to receive a governance strategy obtained based on the AR presentation result; The governance module is used to simulate the governance strategy to predict the landslide governance results, and to present the landslide governance results in AR to determine the governance effect, and to implement the governance strategy if the governance effect meets the preset expected conditions, otherwise to receive a new governance strategy again.

6. The device according to claim 5, characterized in that The landslide body data includes at least one of geological, hydrological, meteorological, rock and soil properties and landslide history data.

7. The device according to claim 5, characterized in that The display module comprises: A first processing unit is used to process missing values ​​of the landslide body data; A second processing unit is used to perform outlier processing on the landslide body data; A third processing unit is used for performing data deduplication processing on the landslide body data; The fourth processing unit is used to perform unified data format processing on the landslide body data.

8. An electronic device, characterized in that: include: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the visualized landslide control method based on AR technology as described in any one of claims 1 to 4.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: The program is executed by a processor to implement the visualized landslide control method based on AR technology as described in any one of claims 1 to 4.

10. A computer program product, characterized in that The computer program is executed to implement the visualized landslide control method based on AR technology as described in any one of claims 1 to 4.

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