Landslide disaster monitoring method and system for vegetation-covered area, electronic equipment and medium

Abstract

The invention discloses a landslide disaster monitoring method and system for a vegetation-covered area, electronic equipment and a medium, and can be widely applied to the technical field of disaster monitoring. According to the application, after the landslide disaster data including the geological background information, the landslide point information and the historical monitoring data of the to-be-monitored vegetation coverage area are acquired, the key disaster-causing process information of the to-be-monitored vegetation coverage area is obtained through analysis according to the landslide disaster data; the landslide monitoring index system of the to-be-monitored vegetation coverage area is constructed based on the key disaster-causing process information so as to be suitable for the landslide monitoring process of the high vegetation coverage area, and then the landslide monitoring index system is utilized to carry out real-time landslide monitoring on the to-be-monitored vegetation coverage area, so that systematic and unified index data can be obtained in the monitoring process; therefore, the comparability and timeliness of data are improved, and the landslide disaster monitoring accuracy of the vegetation-covered area is effectively improved.

Description

Technical Field

[0001] The present application relates to the technical field of disaster monitoring, and in particular to a method and system, electronic equipment and medium for monitoring landslide disasters in vegetation-covered areas. Background Art

[0002] In the relevant technology, landslide refers to the geological phenomenon that the slope rock and soil lose balance along the through shear failure surface under the action of external force, resulting in sliding, which can cause significant casualties and property losses. The landslide monitoring method has been replaced by a high-precision, distributed, and automated monitoring method. However, the indicator data monitored by the existing landslide monitoring method is not systematic and unified, so it is impossible to fully reflect the formation process and disaster mechanism of landslide disasters, and the comparability and timeliness of the data are also poor. In addition, the existing monitoring method cannot be applied to the landslide monitoring process in areas with high vegetation coverage.

[0003] In summary, the technical problems existing in the relevant technologies need to be improved. Summary of the invention

[0004] The main purpose of the embodiments of the present application is to provide a landslide disaster monitoring method and system, electronic equipment and medium in a vegetation-covered area, which can obtain systematic and unified indicator data and are suitable for the landslide monitoring process in a high vegetation coverage area.

[0005] To achieve the above object, an embodiment of the present application provides a method for monitoring landslide disasters in a vegetation-covered area, the method comprising the following steps:

[0006] Acquiring landslide hazard data, wherein the landslide hazard data includes geological background information of the vegetation coverage area to be monitored, landslide point information, and historical monitoring data;

[0007] Obtaining key disaster-causing process information of the vegetation coverage area to be monitored according to the landslide disaster data analysis;

[0008] Constructing a landslide monitoring index system for the vegetation coverage area to be monitored according to the key disaster-causing process information;

[0009] According to the landslide monitoring index system, landslide monitoring is carried out on the vegetation coverage area to be monitored through a multi-source three-dimensional monitoring platform.

[0010] In some embodiments, the step of obtaining the key disaster-causing process information of the vegetation coverage area to be monitored according to the landslide disaster data analysis includes:

[0011] Analyzing the geological environment conditions, key disaster factors, surface-ground hydrological characteristics or topographic deformation characteristics of the vegetation coverage area to be monitored according to the landslide disaster data;

[0012] The geological environment conditions, the key disaster-causing factors, the surface-underground hydrological characteristics or the terrain deformation characteristics are combined into the key disaster-causing process information.

[0013] In some embodiments, the step of constructing the landslide monitoring index system for the vegetation coverage area to be monitored according to the key disaster-causing process information includes:

[0014] Obtaining the geological environment conditions in the key disaster-causing process information;

[0015] Analyze the primary influence relationship between geological structure, topography, vegetation information and rock and soil structure and landslide disaster according to the geological environment conditions;

[0016] A landslide geological environment monitoring index system for the vegetation coverage area to be monitored is constructed according to the first influence relationship.

[0017] In some embodiments, the step of constructing a landslide monitoring index system for vegetation-covered areas based on the key disaster-causing process information includes:

[0018] Acquiring the key disaster-causing factors in the key disaster-causing process information;

[0019] Analyze the secondary impact relationship between meteorology, earthquakes and human activities and landslide disasters based on the key hazard factors;

[0020] A monitoring index system of key landslide disaster factors in the vegetation coverage area to be monitored is constructed based on the second impact relationship.

[0021] In some embodiments, the step of constructing a landslide monitoring index system in a vegetation-covered area based on the key disaster-causing process information includes:

[0022] Obtaining the surface-underground hydrological characteristics in the key disaster-causing process information;

[0023] Analyzing the third impact relationship between surface hydrological characteristics and groundwater hydrological characteristics and landslide hazards according to the surface-groundwater hydrological characteristics;

[0024] A landslide surface-groundwater hydrological characteristic monitoring index system for the vegetation coverage area to be monitored is constructed based on the third influence relationship.

[0025] In some embodiments, the step of constructing a landslide monitoring index system in a vegetation-covered area based on the key disaster-causing process information includes:

[0026] Acquiring the terrain deformation characteristics in the key disaster-causing process information;

[0027] Analyzing the fourth influence relationship between the deformation and displacement of the ground surface and rock and soil depth and the landslide disaster according to the terrain deformation characteristics;

[0028] A landslide deformation characteristic monitoring index system for the vegetation coverage area to be monitored is constructed according to the fourth influence relationship.

[0029] In some embodiments, the landslide monitoring of the vegetation coverage area to be monitored is performed through a multi-source three-dimensional monitoring platform according to the landslide monitoring indicator system, including:

[0030] According to the landslide monitoring indicator system, first multi-source real-time monitoring data is obtained through a multi-source three-dimensional monitoring platform;

[0031] Preprocessing the first multi-source real-time monitoring data to obtain second multi-source real-time monitoring data;

[0032] The landslide warning information of the vegetation coverage area to be monitored is generated according to the second multi-source real-time monitoring data.

[0033] To achieve the above purpose, another aspect of the embodiment of the present application provides a landslide disaster monitoring system for a vegetation covered area, the system comprising:

[0034] The first module is used to obtain landslide disaster data, which includes geological background information of the vegetation coverage area to be monitored, landslide point information and historical monitoring data;

[0035] The second module is used to obtain the key disaster-causing process information of the vegetation coverage area to be monitored according to the landslide disaster data analysis;

[0036] The third module is used to construct a landslide monitoring index system for the vegetation coverage area to be monitored based on the key disaster-causing process information;

[0037] The fourth module is used to carry out landslide monitoring on the vegetation coverage area to be monitored through a multi-source three-dimensional monitoring platform according to the landslide monitoring indicator system.

[0038] To achieve the above object, another aspect of an embodiment of the present application provides an electronic device, including:

[0039] at least one processor;

[0040] at least one memory for storing at least one program;

[0041] When the at least one program is executed by the at least one processor, the at least one processor implements the above method.

[0042] To achieve the above objective, another aspect of an embodiment of the present application provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and the computer program implements the above method when executed by a processor.

[0043] The embodiments of the present application include at least the following beneficial effects: the present application provides a method and system, electronic device and medium for monitoring landslide disasters in vegetation-covered areas. The scheme obtains landslide disaster data including geological background information, landslide point information and historical monitoring data of the vegetation-covered area to be monitored, and then obtains key disaster-causing process information of the vegetation-covered area to be monitored according to the landslide disaster data analysis. Based on the key disaster-causing process information, a landslide monitoring index system for the vegetation-covered area to be monitored is constructed to be suitable for the landslide monitoring process in high vegetation coverage areas. Then, the landslide monitoring index system is used to perform real-time landslide monitoring on the vegetation-covered area to be monitored, so that systematic and unified index data can be obtained during the monitoring process, thereby improving the comparability and timeliness of the data, and effectively improving the accuracy of landslide disaster monitoring in vegetation-covered areas. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] Figure 1 is a flow chart of a method for monitoring landslide disasters in a vegetation-covered area provided in an embodiment of the present application;

[0045] Figure 2 It is a functional schematic diagram of a landslide "sky-air-ground-depth" three-dimensional monitoring system platform provided in an embodiment of the present application;

[0046] Figure 3 It is a schematic diagram of landslide disaster monitoring and analysis in a vegetation-covered area provided in an embodiment of the present application;

[0047] Figure 4 It is a schematic diagram of the arrangement of the three-dimensional landslide monitoring equipment of "sky-air-ground-depth" provided in the embodiment of the present application;

[0048] Figure 5 It is a structural schematic diagram of a landslide disaster monitoring system for a vegetation-covered area provided in an embodiment of the present application;

[0049] Figure 6 It is a schematic diagram of the hardware structure of the electronic device provided in the embodiment of the present application. DETAILED DESCRIPTION

[0050] In order to make the purpose, technical solutions and advantages of the present application clearer, the present application is further described in detail below in conjunction with the accompanying drawings and examples. It should be understood that the specific embodiments described herein are only used to explain the present application and are not intended to limit the present application. When the following description refers to the drawings, unless otherwise indicated, the same numbers in different drawings represent the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the embodiments of the present application, they are only examples of devices and methods consistent with some aspects of the embodiments of the present application.

[0051] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those commonly understood by those skilled in the art to which this application belongs. The terms used herein are only for the purpose of describing the embodiments of this application and are not intended to limit this application.

[0052] Before describing the embodiments of the present application in detail, some nouns and terms involved in the embodiments of the present application are first described. The nouns and terms involved in the embodiments of the present application are subject to the following interpretations:

[0053] Vegetation is the general term for plant communities covering the surface of the earth. It is a term in botany, ecology, agronomy or earth science. Vegetation coverage area refers to the area covered by vegetation. Vegetation coverage refers to the percentage of the vertical projection area of ​​vegetation (including leaves, stems and branches) on the ground to the total area of ​​the statistical area. High vegetation coverage area refers to the vegetation coverage area with a vegetation coverage greater than the preset threshold.

[0054] Landslide: refers to the deformation phenomenon in which, under certain topographic and geological conditions, due to the influence of various natural or man-made factors that destroy the mechanical balance, the unstable soil (rock) on the hillside slides as a whole, slowly and intermittently along a weak surface (zone) inside the hillside under the action of gravity.

[0055] Among the related technologies, landslide monitoring technology has developed from traditional point-type, manual monitoring to high-precision, distributed, and automated monitoring, which basically covers the "air-space-ground" space monitoring range; the landslide monitoring content mainly includes displacement field (surface displacement, deep displacement), water environment field (pore water pressure, surface water, groundwater) and external inducement information (meteorology, earthquake, and human activities). However, the current landslide monitoring still has the following problems: ① The existing landslide monitoring indicators are not systematic and unified, and the monitoring indicators cannot fully reflect the formation process and disaster mechanism of landslide disasters; ② The observation methods lack unified specifications and standards, and different instruments and personnel use different observation methods, resulting in poor comparability and timeliness of data; ③ The current landslide monitoring has few vegetation-related monitoring indicators such as rainfall infiltration, water-rock interaction, vegetation root system, and forest age in high vegetation coverage areas, which cannot reflect the surface-groundwater hydrological process and landslide formation mechanism of landslides in vegetation coverage areas, so it cannot be applied in landslide monitoring in high vegetation coverage areas.

[0056] In view of this, a method and system, electronic device and medium for monitoring landslide disasters in vegetation-covered areas are provided in an embodiment of the present application. After acquiring landslide disaster data including geological background information of the vegetation-covered area to be monitored, landslide point information and historical monitoring data, the present application obtains key disaster-causing process information of the vegetation-covered area to be monitored according to the landslide disaster data analysis, and constructs a landslide monitoring index system for the vegetation-covered area to be monitored based on the key disaster-causing process information, which is suitable for the landslide monitoring process in high vegetation coverage areas. Then, the landslide monitoring index system is used to perform real-time landslide monitoring on the vegetation-covered area to be monitored, so that systematic and unified index data can be obtained during the monitoring process, thereby improving the comparability and timeliness of the data, and effectively improving the accuracy of landslide disaster monitoring in vegetation-covered areas.

[0057] The landslide disaster monitoring method for vegetation-covered areas provided in the embodiments of the present application relates to the field of disaster monitoring technology. The landslide disaster monitoring method for vegetation-covered areas provided in the embodiments of the present application can be applied to a terminal, can also be applied to a server, and can also be software running in a terminal or a server. In some embodiments, the terminal can be a smart phone, a tablet computer, a laptop computer, a desktop computer, a smart speaker, a smart watch, and a car terminal, etc., but is not limited to this; the server side can be configured as an independent physical server, or it can be configured as a server cluster or a distributed system composed of multiple physical servers, and can also be configured as a cloud server that provides basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communications, middleware services, domain name services, security services, CDN, and big data and artificial intelligence platforms. The server can also be a node server in a blockchain network; the software can be an application that implements the landslide disaster monitoring method for vegetation-covered areas, etc., but is not limited to the above forms.

[0058] The present application can be used in many general or special computer system environments or configurations. For example: personal computers, server computers, handheld or portable devices, tablet devices, multiprocessor systems, microprocessor-based systems, set-top boxes, programmable consumer electronics, network PCs, minicomputers, mainframe computers, distributed computing environments including any of the above systems or devices, etc. The present application can be described in the general context of computer-executable instructions executed by a computer, such as program modules. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform specific tasks or implement specific abstract data types. The present application can also be practiced in distributed computing environments, in which tasks are performed by remote processing devices connected through a communication network. In a distributed computing environment, program modules can be located in local and remote computer storage media including storage devices.

[0059] Figure 1is an optional flow chart of the landslide disaster monitoring method for vegetation-covered areas provided in the embodiment of the present application. Figure 1 The method may include but is not limited to steps S110 to S140:

[0060] Step S110, acquiring landslide disaster data, wherein the landslide disaster data includes geological background information of the vegetation coverage area to be monitored, landslide point information and historical monitoring data;

[0061] Step S120, obtaining key disaster-causing process information of the vegetation coverage area to be monitored according to the landslide disaster data analysis;

[0062] Step S130, constructing a landslide monitoring index system for the vegetation coverage area to be monitored according to the key disaster-causing process information;

[0063] Step S140: According to the landslide monitoring index system, landslide monitoring is performed on the vegetation coverage area to be monitored through a multi-source three-dimensional monitoring platform.

[0064] In the embodiment of the present application, when the key disaster-causing process information of the vegetation coverage area to be monitored is obtained according to the landslide disaster data analysis, the geological environment conditions, key disaster-causing factors, surface-underground hydrological characteristics or terrain deformation characteristics of the vegetation coverage area to be monitored can be analyzed according to the landslide disaster data, and the geological environment conditions, key disaster-causing factors, surface-underground hydrological characteristics or terrain deformation characteristics are combined into key disaster-causing process information, and the characteristics of the landslide in the vegetation coverage area to be monitored and the key disaster-causing process information are analyzed according to local conditions, so as to provide a theoretical basis for the establishment of a landslide monitoring indicator system for the monitoring area. It can be understood that the geological environment conditions include but are not limited to information such as geological structure, topography, geomorphology, rock and soil structure properties and vegetation characteristics; key disaster-causing factors may include but are not limited to information such as meteorology, earthquakes, and human activities; surface-underground hydrological characteristics include but are not limited to information such as rainfall infiltration, surface runoff, groundwater, soil moisture content, pore water pressure, water-rock interaction, etc.; terrain deformation characteristics may include but are not limited to information such as surface and deep deformation and displacement, and disaster processes.

[0065] In the embodiments of the present application, the landslide monitoring index system includes, but is not limited to, a geological environment monitoring index system, a disaster factor monitoring index system, a surface-underground hydrological characteristic monitoring index system, or a terrain deformation characteristic monitoring index system.

[0066] In the embodiment of the present application, for the construction of the geological environment monitoring index system, after obtaining the geological environment conditions in the key disaster-causing process information, the geological structure, topography, vegetation information and rock-soil structure and the first influence relationship of landslide disasters are analyzed according to the geological environment conditions, and the geological environment monitoring index system in the landslide monitoring index system of the vegetation coverage area to be monitored is constructed according to the first influence relationship. Specifically, this embodiment mainly monitors the geological conditions of landslide disasters, and is used to monitor the landslide disaster-pregnant environmental change process, the spatiotemporal distribution characteristics of disaster-causing factors, etc. In general, the construction process of the geological environment monitoring index system includes several aspects such as geological structure, topography, vegetation and underground rock-soil structure. The development of landslides is closely related to the geological structure of the area to a large extent. For example, the geological structure with weak interlayers or rock-soil interfaces or fault zones is more prone to landslide disasters, which are generally monitored by geological radar. Topography is closely related to landslides. Landslides generally occur in terrains with steep slopes, sunny slopes, concave slopes, etc., and three-dimensional modeling of the topography of the monitoring area needs to be performed by drones. Vegetation is closely related to landslides. Generally speaking, vegetation has a reinforcing effect and a hydrological effect on landslides. However, in areas with heavy rainfall, the large pores of the vegetation root system have a permeability-enhancing effect, which leads to an increase in the moisture content and weight of the landslide body. Shallow landslide disasters are prone to occur at the root-soil interface. The vegetation density, forest age, root diameter, depth and other characteristics can affect the properties of the root-soil complex, and thus affect the formation of landslides. Therefore, it is necessary to use vegetation plots + drones to monitor the vegetation conditions in the monitoring area to comprehensively analyze the mechanism of vegetation on landslides. The underground rock and soil structure is also an important factor affecting the formation of landslides. The weathering degree, pore structure characteristics, and rock and soil stratification of the rock and soil body affect the formation of landslides. It is necessary to monitor the underground rock and soil structure in the monitoring area through geological radar detection technology. This embodiment establishes a geological environment monitoring index system by analyzing the influence relationship between geological structure, topography, vegetation, and underground rock and soil structure and landslide disasters, thereby improving the systematicness and accuracy of data in the actual monitoring process.

[0067] In the embodiment of the present application, for the construction of the disaster factor monitoring index system, after obtaining the key disaster factors in the key disaster process information, the second influence relationship between meteorology, earthquakes and human activities and landslide disasters can be analyzed according to the key disaster factors, and then the disaster factor monitoring index system in the landslide monitoring index system of the vegetation coverage area to be monitored is constructed according to the second influence relationship. Specifically, this embodiment mainly monitors the disaster factors of landslides, and is used to monitor the change process of landslide disaster factors and the analysis of disaster processes. In general, the key disaster factors mainly include factors such as meteorology, earthquakes and human activities. Meteorological conditions are the main inducing conditions for landslides, including rainfall, temperature, humidity, wind speed, etc., which are currently important monitoring contents of landslides, and are currently mainly monitored through small meteorological stations. The effect of earthquakes on landslides is to trigger the sliding or flow of landslides and promote the formation of landslide disasters; in landslide areas with intensity above VI I, it is necessary to monitor the earthquake situation through professional monitoring instruments. Human activities mainly involve cutting slopes to build houses. Cutting slopes changes the original geological conditions and destroys the stability of the mountain. Because the slope is too steep, the distance between the foot of the slope and the house is too small, and the slope protection is improper, the stability is insufficient. The slope is prone to landslides under its own gravity. Satellite remote sensing + drones are used to monitor human activities. This embodiment establishes a geological environment monitoring indicator system by analyzing the influence relationship between meteorology, earthquakes, human activities and landslide disasters, thereby improving the systematicness and accuracy of data in the actual monitoring process.

[0068] In the embodiment of the present application, for the construction of the surface-underground hydrological characteristic monitoring index system, after obtaining the surface-underground hydrological characteristics in the key disaster-causing process information, the third influence relationship between the surface hydrological characteristics and the underground hydrological characteristics and the landslide disaster is analyzed according to the surface-underground hydrological characteristics, and then the surface-underground hydrological characteristic monitoring index system of the vegetation coverage area to be monitored is constructed according to the third influence relationship. This embodiment mainly monitors the surface-underground hydrological process and water-rock interaction of the landslide, analyzes the response law of the vegetation slope rock and soil body to rainfall and the change of the seepage field and the landslide water-rock interaction process, mainly in terms of surface hydrological process and underground hydrological process. The surface hydrological process is mainly the rainfall infiltration-runoff-sand production process, which is mainly monitored by runoff plots, flow measuring weirs, water level meters, etc. The underground hydrological process is mainly the groundwater level, soil moisture content and pore water pressure, and the chemical properties of groundwater, which are monitored by groundwater level meters, moisture content and pore water pressure meters and water quality sensors. This embodiment establishes a geological environment monitoring index system by monitoring and analyzing the influence relationship between surface hydrological processes, underground hydrological processes and landslide hazards, thereby improving the systematicness and accuracy of data in the actual monitoring process.

[0069] In the embodiment of the present application, for the construction of the terrain deformation characteristic monitoring index system, after obtaining the terrain deformation characteristics in the key disaster-causing process information, the fourth influence relationship between the deformation and displacement of the surface and rock and soil depth and the landslide disaster is analyzed according to the terrain deformation characteristics, and then the terrain deformation characteristic monitoring index system in the landslide monitoring index system of the vegetation coverage area to be monitored is constructed according to the fourth influence relationship. This embodiment mainly monitors the surface, deep deformation and displacement, ground fissures, instantaneous displacement, acceleration, inclination and disaster process of the landslide, and is mainly used for the study of rock and soil movement parameters, disaster morphology and mode in the landslide disaster process. Surface deformation is generally monitored by SAR satellites, surface displacement is monitored by GNSS and wire displacement meters, instantaneous displacement, inclination, and acceleration are generally monitored by intelligent deformable piles, deep displacement is finely monitored by deep displacement meters and borehole inclinometers, disaster processes are monitored by infrared cameras, and cracks are monitored by monitoring crack meters. This embodiment establishes a geological environment monitoring index system by monitoring and analyzing the influence relationship between the deformation and displacement of the ground surface and rock and soil depth and the landslide disaster, thereby improving the systematicness and accuracy of the data in the actual monitoring process.

[0070] Specifically, the landslide monitoring index system in high vegetation coverage areas constructed by the above method is shown in Table 1:

[0071] Table 1

[0072]

[0073] In an embodiment of the present application, after completing the construction of the landslide monitoring index system for high vegetation coverage areas, real-time landslide monitoring and analysis of the vegetation coverage area to be monitored can be performed based on the index system through a multi-source three-dimensional monitoring platform. It can be understood that the multi-source three-dimensional monitoring platform can be a "sky-air-ground-deep" three-dimensional monitoring system platform for landslides. Based on the landslide monitoring index system, this embodiment obtains the first multi-source real-time monitoring data of the vegetation coverage area to be monitored through a multi-source three-dimensional monitoring platform, pre-processes the first multi-source real-time monitoring data to obtain the second multi-source real-time monitoring data, and then generates landslide warning information for the vegetation coverage area to be monitored based on the second multi-source real-time monitoring data. Specifically, the "sky-air-ground-deep" three-dimensional monitoring system platform for landslides in this embodiment has the functions of collecting, processing, and managing multi-source and heterogeneous monitoring data. Figure 2As shown, when using this platform for landslide monitoring applications, the following points need to be noted: First, the collection method, equipment and data need to be standardized and unified, and unified geographic coordinates and time synchronization are required; Second, the data needs to be processed, such as data assimilation and synchronization, calculation of early warning models and early warning judgment, early warning release, and calculation of monitoring information formulas as needed; Third, the original data, processed data and early warning data need to be managed, and the response files and images need to be generated; Fourth, the platform needs to be managed, such as multi-user management, multi-site management, multi-terminal management, etc., to facilitate application in multiple scenarios of landslide monitoring and early warning.

[0074] In the embodiments of the present application, Figure 3 As shown, during the application of the method provided in the embodiment of the present application, the characteristics and key disaster-causing processes of landslides in high vegetation coverage areas are first analyzed, the geological environmental conditions, key disaster-causing factors, surface-ground hydrological characteristics and special conditions of surface deformation for landslide development are clarified, and key indicators of geological environment, key disaster-causing factor indicators, key indicators of surface-ground hydrological characteristics and key indicators of terrain deformation characteristics are generated; secondly, an indicator system for landslide monitoring in vegetation coverage areas is established based on the above indicators, and three-dimensional real-time monitoring and data collection of landslides in the "sky-air-ground-depth" mode are carried out; finally, a landslide monitoring platform is established to realize the unified collection, management and display of multi-source data, providing a basis for early warning of landslides.

[0075] Take a landslide group in a certain area as an example. The landslide is located in a low mountain to hilly area with large terrain fluctuations, spanning two different geomorphic units and gullies. The exposed strata are the Jurassic Zhangping Formation and the Quaternary System, and the rock type is Cretaceous biotite monzogranite. The rock structure is complex and the accumulation layer is thick. The main components of the landslide body are slope-accumulated silty clay and residual sandy clay. The hydrogeological conditions of the slope are complex. Under the combined effects of human activities and rainwater, the landslide soil can slide, seriously threatening the lives and property of local villagers. This landslide group is monitored and early warnings are issued in a timely manner to provide data support for the study of the disaster mechanism of landslide group disasters and disaster prevention and mitigation.

[0076] The geological environment conditions, key disaster-causing factors, surface-underground hydrological characteristics and surface deformation characteristics of the landslide group are monitored. The monitoring contents during the application of the method of the embodiment of the present application are as follows:

[0077] The first is to carry out geological environment monitoring. Satellite remote sensing technology, low-altitude drone remote sensing technology, ground sample observation, geological radar detection technology and other means are used to observe the geological structure, topography, surface vegetation, underground rock and soil structure and other elements of the monitoring area.

[0078] The second is to carry out disaster-causing factor observation. Automatic weather stations, rain gauges, barometers, anemometers, hygrometers and other equipment are deployed to obtain basic data such as temperature, precipitation, humidity, and wind speed. At the same time, human activities are observed. Dynamic observations are carried out on artificial slope cutting, artificial reclamation, population, economy, and building facilities through satellite remote sensing technology and low-altitude drone remote sensing technology.

[0079] The third is to carry out observation of the surface and underground hydrological process on the slope. By constructing runoff plots, flow weirs, soil moisture meters, pore water pressure meters, water level meters, water quality meters and other sensors, we can observe the response of the slope to rainfall, changes in the seepage field, groundwater levels, water-rock interactions, chemical elements, and slope weathering and erosion processes.

[0080] Fourth, establish landslide deformation monitoring. Through SAR satellites, displacement meters, inclinometers, strain gauges, crack detectors, infrared video and other equipment, precise dynamic monitoring of landslide deformation and disaster processes can be achieved.

[0081] The fifth is to build Figure 4 The landslide "sky-air-ground-depth" three-dimensional monitoring system platform shown in the figure realizes the collection, processing and management of multi-source and heterogeneous monitoring data, ensuring the continuity, consistency and accuracy of the observation data.

[0082] In summary, the embodiments of the present application target landslides in vegetation-covered areas. Based on the landslide disaster mechanism, a three-dimensional landslide monitoring indicator system of "sky-air-ground-depth" is constructed for geological environment element observation, disaster-causing factor observation, surface-underground hydrological process observation and terrain deformation observation. The system solves the technical difficulty that the existing landslide monitoring technology cannot be applied in vegetation-covered areas. The system can provide systematic and unified data support for monitoring, early warning and prediction of landslides in high vegetation coverage areas, and effectively improve the accuracy of landslide disaster monitoring in vegetation coverage areas.

[0083] Reference Figure 5 Another aspect of the embodiment of the present application provides a landslide disaster monitoring system for vegetation-covered areas, the system comprising:

[0084] The first module 510 is used to obtain landslide disaster data, wherein the landslide disaster data includes geological background information of the vegetation coverage area to be monitored, landslide point information and historical monitoring data;

[0085] The second module 520 is used to obtain key disaster-causing process information of the vegetation coverage area to be monitored based on the landslide disaster data analysis;

[0086] The third module 530 is used to construct a landslide monitoring index system for the vegetation coverage area to be monitored based on the key disaster-causing process information;

[0087] The fourth module 540 is used to perform landslide monitoring on the vegetation coverage area to be monitored according to the landslide monitoring indicator system.

[0088] It can be understood that the contents of the above method embodiments are all applicable to the present system embodiments, the functions specifically implemented by the present system embodiments are the same as those of the above method embodiments, and the beneficial effects achieved are also the same as those achieved by the above method embodiments.

[0089] The embodiment of the present application also provides an electronic device, the electronic device includes a memory and a processor, the memory stores a computer program, and the processor implements the above-mentioned landslide disaster monitoring method in a vegetation-covered area when executing the computer program. The electronic device can be any intelligent terminal including a tablet computer, a car computer, etc.

[0090] It can be understood that the contents of the above method embodiments are all applicable to the present device embodiments, the functions specifically implemented by the present device embodiments are the same as those of the above method embodiments, and the beneficial effects achieved are also the same as those achieved by the above method embodiments.

[0091] See also Figure 6 , Figure 6 The hardware structure of an electronic device of another embodiment is illustrated, and the electronic device includes:

[0092] The processor 610 may be implemented by a general-purpose CPU (Central Processing Unit), a microprocessor, an application-specific integrated circuit (ASIC), or one or more integrated circuits, and is used to execute relevant programs to implement the technical solutions provided in the embodiments of the present application.

[0093] The memory 620 can be implemented in the form of a read-only memory (ROM), a static storage device, a dynamic storage device, or a random access memory (RAM). The memory 620 can store an operating system and other application programs. When the technical solution provided in the embodiment of this specification is implemented by software or firmware, the relevant program code is stored in the memory 620, and the processor 610 calls and executes the landslide disaster monitoring method for vegetation-covered areas of the embodiment of this application;

[0094] Input / output interface 630, used to implement information input and output;

[0095] Communication interface 640, used to realize communication interaction between the device and other devices, which can be realized through wired mode (such as USB, network cable, etc.) or wireless mode (such as mobile network, WI FI, Bluetooth, etc.);

[0096] bus 650 , which transmits information between the various components of the device (e.g., processor 610 , memory 620 , input / output interface 630 , and communication interface 640 );

[0097] The processor 610 , the memory 620 , the input / output interface 630 , and the communication interface 640 are connected to each other in communication within the device via a bus 650 .

[0098] An embodiment of the present application further provides a computer-readable storage medium, which stores a computer program. When the computer program is executed by a processor, the landslide disaster monitoring method in the vegetation-covered area is implemented.

[0099] It can be understood that the contents of the above method embodiments are all applicable to the present storage medium embodiments, the functions specifically implemented by the present storage medium embodiments are the same as those of the above method embodiments, and the beneficial effects achieved are also the same as those achieved by the above method embodiments.

[0100] The memory, as a non-transient computer-readable storage medium, can be used to store non-transient software programs and non-transient computer executable programs. In addition, the memory may include a high-speed random access memory, and may also include a non-transient memory, such as at least one disk storage device, a flash memory device, or other non-transient solid-state storage device. In some embodiments, the memory may optionally include a memory remotely disposed relative to the processor, and these remote memories may be connected to the processor via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0101] The embodiments described in the embodiments of the present application are intended to more clearly illustrate the technical solutions of the embodiments of the present application and do not constitute a limitation on the technical solutions provided in the embodiments of the present application. Those skilled in the art will appreciate that with the evolution of technology and the emergence of new application scenarios, the technical solutions provided in the embodiments of the present application are also applicable to similar technical problems.

[0102] Those skilled in the art will appreciate that the technical solutions shown in the figures do not constitute a limitation on the embodiments of the present application, and may include more or fewer steps than shown in the figures, or a combination of certain steps, or different steps.

[0103] The device embodiments described above are merely illustrative, and the units described as separate components may or may not be physically separated, that is, they may be located in one place or distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0104] Those skilled in the art will appreciate that all or some of the steps in the methods disclosed above, and the functional modules / units in the systems and devices may be implemented as software, firmware, hardware, or a suitable combination thereof.

[0105] The terms "first", "second", "third", "fourth", etc. (if any) in the specification of the present application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments of the present application described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device comprising a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0106] It should be understood that in the present application, "at least one (item)" means one or more, and "plurality" means two or more. "And / or" is used to describe the association relationship of associated objects, indicating that three relationships may exist. For example, "A and / or B" can mean: only A exists, only B exists, and A and B exist at the same time, where A and B can be singular or plural. The character " / " generally indicates that the objects associated before and after are in an "or" relationship. "At least one of the following" or similar expressions refers to any combination of these items, including any combination of single or plural items. For example, at least one of a, b or c can mean: a, b, c, "a and b", "a and c", "b and c", or "a and b and c", where a, b, c can be single or multiple.

[0107] In the several embodiments provided in the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the above units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0108] The units described above as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0109] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0110] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application is essentially or the part that contributes to the prior art or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including multiple instructions to enable a computer device (which can be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods of various embodiments of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (Read-Only Memory, referred to as ROM), random access memory (Random Access Memory, referred to as RAM), disk or optical disk and other media that can store programs.

[0111] The preferred embodiments of the present invention are described above with reference to the accompanying drawings, but the scope of the rights of the present invention is not limited thereto. Any modification, equivalent substitution and improvement made by a person skilled in the art without departing from the scope and essence of the present invention should be within the scope of the rights of the present invention.

Claims

1. A method for monitoring landslide hazards in vegetation-covered areas, characterized in that: The method comprises the following steps: Acquiring landslide hazard data, wherein the landslide hazard data includes geological background information of the vegetation coverage area to be monitored, landslide point information, and historical monitoring data; Obtaining key disaster-causing process information of the vegetation coverage area to be monitored according to the landslide disaster data analysis; Constructing a landslide monitoring index system for the vegetation coverage area to be monitored according to the key disaster-causing process information; According to the landslide monitoring index system, landslide monitoring is carried out on the vegetation coverage area to be monitored through a multi-source three-dimensional monitoring platform.

2. The method according to claim 1, characterized in that The key disaster-causing process information of the vegetation coverage area to be monitored is obtained according to the landslide disaster data analysis, including: Analyzing the geological environment conditions, key disaster factors, surface-ground hydrological characteristics or topographic deformation characteristics of the vegetation coverage area to be monitored according to the landslide disaster data; The geological environment conditions, the key disaster-causing factors, the surface-underground hydrological characteristics or the terrain deformation characteristics are combined into the key disaster-causing process information.

3. The method according to claim 2, characterized in that The method of constructing the landslide monitoring index system for the vegetation coverage area to be monitored according to the key disaster-causing process information includes: Obtaining the geological environment conditions in the key disaster-causing process information; Analyze the primary influence relationship between geological structure, topography, vegetation information and rock and soil structure and landslide hazards according to the geological environment conditions; A landslide geological environment monitoring index system for the vegetation coverage area to be monitored is constructed according to the first influence relationship.

4. The method according to claim 2, characterized in that: The landslide monitoring index system for vegetation-covered areas is constructed according to the key disaster-causing process information, including: Acquiring the key disaster-causing factors in the key disaster-causing process information; Analyze the secondary impact relationship between meteorology, earthquakes and human activities and landslide disasters based on the key hazard factors; A monitoring index system of key landslide disaster factors in the vegetation coverage area to be monitored is constructed based on the second impact relationship.

5. The method according to claim 2, characterized in that: The landslide monitoring index system for vegetation-covered areas is constructed according to the key disaster-causing process information, including: Obtaining the surface-underground hydrological characteristics in the key disaster-causing process information; Analyze the third impact relationship between surface hydrological characteristics and groundwater hydrological characteristics and landslide hazards according to the surface-groundwater hydrological characteristics; A landslide surface-groundwater hydrological characteristic monitoring index system for the vegetation coverage area to be monitored is constructed based on the third influence relationship.

6. The method according to claim 2, characterized in that The landslide monitoring index system for vegetation-covered areas is constructed according to the key disaster-causing process information, including: Acquiring the terrain deformation characteristics in the key disaster-causing process information; Analyzing the fourth influence relationship between the deformation and displacement of the ground surface and rock and soil depth and the landslide disaster according to the terrain deformation characteristics; A landslide deformation characteristic monitoring index system for the vegetation coverage area to be monitored is constructed according to the fourth influence relationship.

7. The method according to claim 1, characterized in that The landslide monitoring is performed on the vegetation coverage area to be monitored through a multi-source three-dimensional monitoring platform according to the landslide monitoring indicator system, including: According to the landslide monitoring indicator system, first multi-source real-time monitoring data is obtained through a multi-source three-dimensional monitoring platform; Preprocessing the first multi-source real-time monitoring data to obtain second multi-source real-time monitoring data; The landslide warning information of the vegetation coverage area to be monitored is generated according to the second multi-source real-time monitoring data.

8. A landslide hazard monitoring system for vegetation covered areas, characterized in that: The system comprises: The first module is used to obtain landslide disaster data, which includes geological background information of the vegetation coverage area to be monitored, landslide point information and historical monitoring data; The second module is used to obtain the key disaster-causing process information of the vegetation coverage area to be monitored according to the landslide disaster data analysis; The third module is used to construct a landslide monitoring index system for the vegetation coverage area to be monitored based on the key disaster-causing process information; The fourth module is used to carry out landslide monitoring on the vegetation coverage area to be monitored through a multi-source three-dimensional monitoring platform according to the landslide monitoring indicator system.

9. An electronic device, characterized in that: include: at least one processor; at least one memory for storing at least one program; When the at least one program is executed by the at least one processor, the at least one processor implements the method according to any one of claims 1 to 7.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the method according to any one of claims 1 to 7 is implemented.

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