Method and device for selecting multiple parameters of landslide collapse geological disaster monitoring and early warning demonstration point

Abstract

The application discloses a landslide collapse geological disaster monitoring and early warning demonstration point multi-parameter selection device and method, belongs to the technical field of natural disaster monitoring and early warning and prevention, and comprises geological disaster influence factor analysis; determining an application scene liable to cause landslide and collapse geological disasters; selecting a monitoring and early warning demonstration area from the typical application scene, and performing geological disaster risk assessment on the demonstration area as an object; on the basis of satellite remote sensing images, with the aid of landslide and collapse geological disaster remote sensing interpretation signs, performing geological disaster satellite remote sensing interpretation; performing weighted average on influence factors of each demonstration point in the demonstration area, and sorting the results, so as to determine a typical demonstration point; according to the scene and characteristics of the demonstration point, selecting a corresponding monitoring and early warning sensor to perform monitoring. The application has important significance in the field of geological disaster monitoring and emergency by classifying different monitoring and early warning demonstration areas, and gradually improving a database system of the monitoring and early warning demonstration points.

Description

Technical Field

[0001] This invention belongs to the field of natural disaster monitoring, early warning and prevention technology, and specifically relates to a method and device for selecting multiple parameters at a landslide and collapse geological disaster monitoring and early warning demonstration site. Background Technology

[0002] Geological disasters refer to phenomena or events that cause sudden or gradual damage to the geological environment due to geological processes, resulting in loss of human life and property. my country is located at the boundary of the Eurasian and Pacific plates, and also at the northeastern boundary where the Indian Ocean Plate and the Eurasian Plate collide. Due to intense tectonic activity, geological disasters occur frequently, especially in the southwest region, which is the main distribution area for landslides, collapses, and other geological disasters. These disasters are characterized by their diverse types, high frequency, wide distribution, and significant losses.

[0003] There are many factors that lead to landslides and collapses. In addition to geological factors such as topography, lithology, and tectonic geology, climate, precipitation, hydrogeology, and reservoir / dam construction are also major causes of landslides and collapses in areas with well-developed river and lake systems. my country has numerous reservoirs and a well-developed water system. As of the end of 2016, there were 95,500 reservoirs of various types nationwide. Apart from 567 large reservoirs, the vast majority are small and medium-sized reservoirs. Among these small and medium-sized reservoirs, about 40.8% are considered to be in poor condition. The large number, wide distribution, and high quantity of these reservoirs represent a weakness in water conservancy management. Therefore, it is crucial to conduct geological disaster monitoring and safety supervision of these reservoirs according to the severity and characteristics of the geological hazards.

[0004] Currently, there are various methods for monitoring landslide and collapse geological hazards, including remote sensing and imagery, as well as ground-based monitoring equipment. However, most of these methods focus on monitoring specific targets and lack specificity and relevance to different scenarios. Summary of the Invention

[0005] The purpose of this invention is to provide a method and device for selecting multiple parameters for landslide and collapse geological disaster monitoring and early warning demonstration sites. Based on typical geological application scenarios, the method conducts multi-parameter evaluation according to the type of geological disaster monitoring and early warning demonstration sites and image factors, providing decision support for targeted monitoring and early warning.

[0006] To achieve the above objectives, the present invention provides the following technical solution: a method for selecting multiple parameters for a landslide and collapse geological disaster monitoring and early warning demonstration site, comprising the following steps:

[0007] Step S101: Based on the factors affecting geological disasters, determine the application scenarios that are prone to causing landslides and collapses.

[0008] Step S102: Select a monitoring and early warning demonstration area from typical application scenarios, and conduct a geological hazard risk assessment on the demonstration area.

[0009] Step S103: Based on satellite remote sensing imagery, and with the help of remote sensing interpretation markers for landslides and collapses, perform satellite remote sensing interpretation of geological hazards;

[0010] Step S104: Calculate the weighted average of the influencing factors of each demonstration site within the demonstration area and rank the results to determine the typical demonstration sites.

[0011] Step S105: Based on the scenario and characteristics of the demonstration site, select the appropriate monitoring and early warning sensors for monitoring, and upload the results to the monitoring and early warning platform to provide data services and decision support for the prediction and early warning of landslides and collapses.

[0012] In step S101, for the two types of geological hazards, landslides and collapses, the influencing factors of geological hazards are analyzed in conjunction with their formation mechanisms to determine the application scenarios that are prone to landslides and collapses. Based on the experience of geological hazard influencing factors and engineering geological environment, six scenarios that are prone to landslides and collapses are identified. The six scenarios are high mountain canyon areas, high-altitude cold areas, fragile slope areas, bedrock slope areas, loess slope areas, and dam shoulder damage areas. Among them, high mountain canyon areas and high-altitude cold areas are general scenarios for landslides and collapses, which are related to the influencing factors. Dam shoulder damage areas are specific scenarios for water conservancy geological hazards. Both fragile slope areas, bedrock slope areas, and loess slope areas are applicable.

[0013] In step S102, each scenario includes multiple monitoring and early warning demonstration zones. Sometimes, the same demonstration zone also has the characteristics of multiple scenarios. Based on the location and characteristics of these demonstration zones, the potential for geological disasters, the feasibility of building demonstration sites, the scope of human activities, and the influencing factors of engineering activities, the feasibility and typicality of selecting demonstration zones are determined.

[0014] In step S101, the factors influencing geological disasters include topography, lithology, structural geology, hydrogeology, climate and precipitation, and reservoir and dam construction.

[0015] In step S102, the geological hazard risk assessment of the monitoring and early warning demonstration area involves investigating and analyzing the geological environment and hazard-causing geological bodies in and around the demonstration area. The main contents of the landslide geological hazard risk assessment are to investigate landslide elements and deformation characteristics, analyze the scale, type, main triggering factors and impact range of the landslide, and evaluate its current status and stability under unfavorable working conditions. For collapses, the morphology of steep slopes, lithological combination, rock mass structure, structural plane properties, degree of fissure cutting of unstable rock mass, deformation, analysis of unstable rock mass morphology, type, scale and impact range of collapse, and evaluation of its current status and stability under unfavorable working conditions should be conducted.

[0016] In steps S102 and S103, the selection of geological disaster monitoring and early warning demonstration areas is based on satellite remote sensing images. Specific steps include: First, investigating, analyzing, and summarizing the geological background, causes and conditions, development environment, and topographic features of landslide and collapse sites; Second, acquiring high-resolution satellite remote sensing images and analyzing the location, distribution, scale, range, and type of landslides and collapses; Third, performing satellite remote sensing interpretation of geological disasters based on remote sensing interpretation markers; Fourth, using the satellite remote sensing interpretation results for calculating geological disaster monitoring and early warning weights and selecting demonstration sites.

[0017] In step S104, multiple demonstration points are selected based on the demonstration areas corresponding to different scenarios to select multiple parameters for landslide and collapse geological hazards. The factors influencing the selection of demonstration points mainly include two aspects: data and elements. The data mainly includes satellite remote sensing image data and water and geological hazard distribution data. The elements mainly include four aspects: geological hazard influencing factors, geological hazard remote sensing interpretation results, geological hazard risk assessment results, and the impact of human engineering activities. By assigning certain weights to the parameters obtained from the above data and performing a weighted average, the final result is obtained and compared, thereby selecting the monitoring and early warning demonstration points.

[0018] A multi-parameter selection device for landslide and collapse geological hazard monitoring and early warning demonstration sites includes a typical application scenario selection unit, a comprehensive geological hazard risk assessment unit, a geological hazard satellite remote sensing interpretation unit, a multi-parameter monitoring and early warning demonstration site selection unit, and a geological hazard monitoring and early warning demonstration site construction unit; wherein...

[0019] The typical application scenario selection unit is used to select typical application scenarios of geological disasters based on topography, lithology, tectonic geology, hydrogeology, climate and precipitation and reservoir and dam construction elements.

[0020] The geological hazard risk comprehensive assessment unit is used to assess the scale, type, main triggering factors, and impact range of landslides and collapses, and to evaluate their current status and stability under unfavorable working conditions.

[0021] The geological disaster satellite remote sensing interpretation unit is used to interpret geological disasters on satellite remote sensing images by using satellite remote sensing interpretation markers for landslides and collapses.

[0022] The multi-parameter monitoring and early warning demonstration point selection unit is used to perform an index-weighted average of various influencing factors of the demonstration point, and finally determine the monitoring and early warning demonstration points for different application scenarios.

[0023] The geological disaster monitoring and early warning demonstration site construction unit is used to conduct instrument and equipment testing and construct monitoring and early warning demonstration sites by utilizing the monitoring and early warning platform.

[0024] The beneficial effects of this invention can be represented by four characteristics: typicality, comprehensiveness, scientific rigor, and systematicity. Typicality means that the demonstration areas selected from application scenarios, and the demonstration points determined from different demonstration areas, are representative. Comprehensiveness means that the monitoring and early warning demonstration points can be selected from different application scenarios, each belonging to a different type. Scientific rigor means that the selection of demonstration points is based on satellite remote sensing imagery and water conservancy and geological disaster data, grounded in geological disaster remote sensing interpretation results and geological disaster risk assessment results, taking into full account the influencing factors of geological disasters and the impact of human engineering activities, and employing an exponential weighted average algorithm. Systematicity means that the selection of monitoring and early warning demonstration points proceeds progressively from typical application scenarios prone to geological disasters to the selection of monitoring and early warning demonstration areas, and finally to the selection of monitoring and early warning demonstration points. By classifying different monitoring and early warning demonstration areas, the database system of monitoring and early warning demonstration points is gradually improved, and the data on monitoring, landslides, and collapses are fed back and improved. Based on this, the selection and construction of demonstration points are carried out, which is of great significance in the field of geological disaster monitoring and emergency response. Attached Figure Description

[0025] Figure 1 This is a flowchart illustrating the present invention;

[0026] Figure 2 This is a schematic diagram illustrating an embodiment of the present invention;

[0027] Figure 3 This is a schematic diagram of the structure of the present invention. Detailed Implementation

[0028] The specific embodiments of the present invention will now be described in detail with reference to the accompanying drawings and preferred embodiments.

[0029] In the description of this invention, it should be understood that the terms "center," "longitudinal," "lateral," "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," and "outer," etc., indicating orientations or positional relationships based on the orientations or positional relationships shown in the accompanying drawings, are used only for the convenience of describing this invention and for simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation, and therefore should not be construed as a limitation on this invention. Furthermore, the terms "first," "second," etc., are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of indicated technical features. Thus, a feature defined with "first," "second," etc., may explicitly or implicitly include one or more of that feature. In the description of this invention, unless otherwise stated, "a plurality of" means two or more.

[0030] In the description of this invention, it should be noted that, unless otherwise explicitly specified and limited, the terms "installation," "connection," "linking," "fixed connection," and "fixed connection" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; and they can refer to the internal connection of two components. Those skilled in the art will understand the specific meaning of the above terms in this invention based on the specific circumstances.

[0031] The present invention will be further described below with reference to the accompanying drawings.

[0032] like Figure 1 As shown, the multi-parameter selection method for landslide and collapse geological disaster monitoring and early warning demonstration sites of the present invention includes: Step S101, selection of typical application scenarios, selecting typical application scenarios based on geological disaster influencing factors such as topography, stratigraphy, tectonic geology, hydrogeology, climate and precipitation, and reservoir and dam construction; Step S102, geological disaster risk assessment of the monitoring and early warning demonstration area. Selecting monitoring and early warning demonstration areas from the typical scenarios and conducting geological disaster risk assessments on these demonstration areas; Step S103, remote sensing interpretation of geological disasters in the monitoring and early warning demonstration area. Based on satellite remote sensing imagery, and using landslide and collapse geological disaster remote sensing interpretation markers, performing satellite remote sensing interpretation of geological disasters; Step S104, multi-parameter selection method for geological disaster monitoring and early warning demonstration sites. Weighted average of influencing factors for each demonstration site within the demonstration area and ranking the results to determine typical demonstration sites; Step S105, construction of geological disaster monitoring and early warning demonstration sites, using various geological disaster monitoring and early warning sensors and instruments for testing at the demonstration sites and evaluating the results.

[0033] Typical application scenarios were selected, taking into account both the potential occurrence of geological disasters and the representativeness of the scenario type. Based on factors influencing geological disasters such as topography, strata lithology, structural geology, hydrogeology, climate and precipitation, and reservoir and dam construction, six typical application scenarios for landslides and collapses were identified: high mountain and canyon areas, high-altitude and cold regions, vulnerable slope areas, bedrock slope areas, loess slope areas, and dam shoulder damage areas. Among these, high mountain and canyon areas and high-altitude and cold regions are common scenarios for landslides and collapses, dam shoulder damage areas are typical application scenarios for water conservancy geological disasters, and both vulnerable slope areas, bedrock slope areas, and loess slope areas are suitable. These six scenarios respectively demonstrate the susceptibility and potential for landslides and collapses.

[0034] Demonstration areas were selected from typical application scenarios. Each scenario includes multiple monitoring and early warning demonstration areas, and sometimes the same demonstration area also has characteristics of multiple scenarios. The feasibility and typicality of the selected demonstration areas were determined based on factors such as the location and characteristics of these demonstration areas, the potential for geological disasters, the feasibility of the demonstration site construction, the scope of human activities, and the impact of engineering activities.

[0035] A geological hazard risk assessment is conducted for the monitoring and early warning demonstration area. This involves investigating and analyzing the geological environment and hazard-causing geological bodies in and around the demonstration area. The main content of the landslide geological hazard risk assessment includes investigating landslide elements and deformation characteristics, analyzing the scale, type, main triggering factors, and impact range of the landslide, and evaluating its current stability and stability under unfavorable working conditions. For collapses, the assessment should include investigating the slope morphology, lithological combination, rock mass structure, structural plane characteristics, the degree of fissure cutting of the unstable rock mass, deformation, analyzing the morphology, type, scale, and impact range of the unstable rock mass, and evaluating its current stability and stability under unfavorable working conditions.

[0036] Remote sensing interpretation of geological hazards was conducted in the monitoring and early warning demonstration areas. The selection of demonstration areas for geological hazard monitoring and early warning was based on satellite remote sensing images, and the specific steps were as follows: First, the geological background, causes and conditions, development environment, and topographic features of landslide and collapse sites were investigated, analyzed, and summarized. Then, high-resolution satellite remote sensing images were acquired, and the location, distribution, scale, range, and type of landslides and collapses were analyzed. Third, satellite remote sensing interpretation of geological hazards was performed based on remote sensing interpretation markers. Fourth, the satellite remote sensing interpretation results were used for calculating the weighting of geological hazard monitoring and early warning systems and for selecting demonstration sites.

[0037] Multiple monitoring and early warning demonstration sites were selected from the demonstration area. A multi-parameter selection method was adopted for the selection of demonstration sites. Specifically, based on the characteristics of the surrounding environment in the satellite remote sensing image data, the distribution and characteristics of water conservancy and geological disasters, the influencing factors of geological disasters, the remote sensing interpretation results of geological disasters, the geological disaster risk assessment results, and the impact of human engineering activities, certain weights were assigned. All demonstration sites were then weighted, averaged, and ranked. Based on the final results, the monitoring and early warning demonstration sites were determined.

[0038] Please refer to Figure 2 and Figure 3This invention relates to a multi-parameter selection device for landslide and collapse geological hazard monitoring and early warning demonstration sites, comprising: a typical application scenario selection unit 1, used to select typical application scenarios for geological hazards based on factors such as topography, stratigraphy, tectonic geology, hydrogeology, climate and precipitation, and reservoir / dam construction; a geological hazard risk comprehensive assessment unit 2, used to assess the scale, type, main triggering factors, and impact range of landslides and collapses, and evaluate their current status and stability under unfavorable conditions; a geological hazard satellite remote sensing interpretation unit 3, used to perform satellite remote sensing interpretation of geological hazards on satellite remote sensing images using satellite remote sensing interpretation markers for landslides and collapses; a multi-parameter monitoring and early warning demonstration site selection unit 4, used to perform index-weighted averaging of various influencing factors at the demonstration site, and finally determine monitoring and early warning demonstration sites for different application scenarios; and a geological hazard monitoring and early warning demonstration site construction unit 105, used to conduct instrument and equipment testing and construct monitoring and early warning demonstration sites using a monitoring and early warning platform.

[0039] First, based on factors such as topography, stratigraphy, lithology, structural geology, hydrogeology, climate and precipitation, and reservoir / dam construction, six typical application scenarios were identified. Among these, the high mountain / canyon type application scenario is located in high-altitude areas, generally situated between tectonic plateaus, terraces, and mesas, with slopes composed of cliffs. Its main characteristics are high mountains, steep slopes, well-developed structures, and fragmented topography. The high-altitude / cold region application scenario refers to particularly cold areas formed due to high altitude or latitude, which are also the main areas where landslides and collapses occur, and these events are often large-scale. Its characteristics include low temperature, low air pressure, and low oxygen content. The fragile slope area generally refers to weathering zones, tectonic fracture zones, and diagenetic zones. In areas with poor mudstone development, slope stability is a key characteristic. Bedrock slopes are characterized by slopes consisting mainly of stable, intact rock or blocks. If weak interlayers or external forces are present, the slopes are prone to sliding and deformation, leading to instability. Bedrock slopes are characterized by high slopes, large slope angles, and the presence of weak interlayers or external forces. Loess slopes, where the main medium is unstratified, silty soil-like sediments, are prone to landslides under external forces or when the external environment changes. Dam abutment failure zones refer to areas where construction has caused collapses, cracks, or deformations on both sides of the slopes. These are characterized by human-caused damage.

[0040] Next, for each of the six typical application scenarios of geological disasters, specific areas will be selected from the resource database as demonstration areas for geological disaster monitoring and early warning.

[0041] The next step is to conduct a geological hazard risk assessment in the demonstration area to determine the scale, type, triggering factors, and scope of impact of geological hazards, and to evaluate their current status and stability.

[0042] The next step is to use satellite remote sensing imagery as a basis and satellite remote sensing interpretation markers to interpret landslides and collapses in the demonstration area.

[0043] Next, multiple demonstration sites will be selected within the demonstration area, and a weighted average method will be used to select monitoring and early warning demonstration sites for various influencing factors of geological disasters.

[0044] Next, based on the characteristics and scenarios of the demonstration sites, and according to the types and characteristics of the sensors and early warning devices, we will design a solution and construct the demonstration sites using the monitoring and early warning IoT platform.

[0045] The sensors and early warning devices deployed in different scenarios are different. Among them, instruments and equipment used in high mountain and canyon areas should be easy to deploy and put into use; sensors such as rain gauges and soil moisture meters are not suitable for monitoring and early warning demonstration sites in high-altitude and cold regions.

[0046] Among the geological disaster influencing factors selected for geological disaster monitoring and early warning demonstration sites, the proportions of the six aspects—topography, lithology, climate and precipitation, tectonic geology, hydrogeology, and reservoir and dam construction—differ for different scenarios. Specifically, lithology is mainly considered in fragile slope areas, climate and precipitation in loess slope areas, reservoir and dam construction in dam shoulder damage areas, and tectonic activity in high mountain and canyon areas.

[0047] In the multi-parameter selection method for geological disaster monitoring and early warning demonstration sites, priority is given to the influencing factors of geological disasters and the impact of human engineering activities, with a focus on the geological disaster risk assessment results and geological disaster remote sensing interpretation results, as well as satellite remote sensing image data and water conservancy geological disaster data.

[0048] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and not to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some or all of the technical features; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for selecting multiple parameters for landslide and collapse geological hazard monitoring and early warning demonstration sites, characterized in that, Includes the following steps: Step S101: Based on the factors affecting geological disasters, determine the application scenarios that are prone to causing landslides and collapses. Step S102: Select a monitoring and early warning demonstration area from typical application scenarios, and conduct a geological hazard risk assessment on the demonstration area. Step S103: Based on satellite remote sensing imagery, and with the help of remote sensing interpretation markers for landslides and collapses, perform satellite remote sensing interpretation of geological hazards; Step S104: Calculate the weighted average of the influencing factors of each demonstration site within the demonstration area and rank the results to determine the typical demonstration sites. Step S105: Based on the scenario and characteristics of the demonstration site, select the appropriate monitoring and early warning sensors for monitoring, and upload the results to the monitoring and early warning platform to provide data services and decision support for the prediction and early warning of landslides and collapses.

2. The method for selecting multiple parameters for landslide and collapse geological disaster monitoring and early warning demonstration sites according to claim 1, characterized in that, In step S101, for the two types of geological hazards, landslides and collapses, the influencing factors of geological hazards are analyzed in conjunction with their formation mechanisms to determine the application scenarios that are prone to landslides and collapses. Based on the experience of geological hazard influencing factors and engineering geological environment, six scenarios that are prone to landslides and collapses are identified. The six scenarios are high mountain canyon areas, high-altitude cold areas, fragile slope areas, bedrock slope areas, loess slope areas, and dam shoulder damage areas. Among them, high mountain canyon areas and high-altitude cold areas are general scenarios for landslides and collapses, which are related to the influencing factors. Dam shoulder damage areas are specific scenarios for water conservancy geological hazards. Both fragile slope areas, bedrock slope areas, and loess slope areas are applicable.

3. The method for selecting multiple parameters for landslide and collapse geological disaster monitoring and early warning demonstration sites according to claim 2, characterized in that, In step S102, each scenario includes multiple monitoring and early warning demonstration zones. Sometimes, the same demonstration zone also has the characteristics of multiple scenarios. Based on the location and characteristics of these demonstration zones, the potential for geological disasters, the feasibility of building demonstration sites, the scope of human activities, and the influencing factors of engineering activities, the feasibility and typicality of selecting demonstration zones are determined.

4. The method for selecting multiple parameters for landslide and collapse geological disaster monitoring and early warning demonstration sites according to claim 1, characterized in that, In step S101, the factors influencing geological disasters include topography, lithology, structural geology, hydrogeology, climate and precipitation, and reservoir and dam construction.

5. The method for selecting multiple parameters for landslide and collapse geological disaster monitoring and early warning demonstration sites according to claim 1, characterized in that, In step S102, the geological hazard risk assessment of the monitoring and early warning demonstration area involves investigating and analyzing the geological environment and hazard-causing geological bodies in and around the demonstration area. The main contents of the landslide geological hazard risk assessment are to investigate landslide elements and deformation characteristics, analyze the scale, type, main triggering factors and impact range of the landslide, and evaluate its current status and stability under unfavorable working conditions. For collapses, the morphology of steep slopes, lithological combination, rock mass structure, structural plane properties, degree of fissure cutting of unstable rock mass, deformation, analysis of unstable rock mass morphology, type, scale and impact range of collapse, and evaluation of its current status and stability under unfavorable working conditions should be conducted.

6. The method for selecting multiple parameters for landslide and collapse geological disaster monitoring and early warning demonstration sites according to claim 1, characterized in that, In steps S102 and S103, the selection of geological disaster monitoring and early warning demonstration areas is based on satellite remote sensing images. Specific steps include: First, investigating, analyzing, and summarizing the geological background, causes and conditions, development environment, and topographic features of landslide and collapse sites; Second, acquiring high-resolution satellite remote sensing images and analyzing the location, distribution, scale, range, and type of landslides and collapses; Third, performing satellite remote sensing interpretation of geological disasters based on remote sensing interpretation markers; Fourth, using the satellite remote sensing interpretation results for calculating geological disaster monitoring and early warning weights and selecting demonstration sites.

7. The method for selecting multiple parameters for landslide and collapse geological disaster monitoring and early warning demonstration sites according to claim 1, characterized in that, In step S104, multiple demonstration points are selected based on the demonstration areas corresponding to different scenarios to select multiple parameters for landslide and collapse geological hazards. The factors influencing the selection of demonstration points mainly include two aspects: data and elements. The data mainly includes satellite remote sensing image data and water and geological hazard distribution data. The elements mainly include four aspects: geological hazard influencing factors, geological hazard remote sensing interpretation results, geological hazard risk assessment results, and the impact of human engineering activities. By assigning certain weights to the parameters obtained from the above data and performing a weighted average, the final result is obtained and compared, thereby selecting the monitoring and early warning demonstration points.

8. A multi-parameter selection device for a landslide and collapse geological disaster monitoring and early warning demonstration site, characterized in that, This includes units for selecting typical application scenarios, comprehensive assessment of geological hazard risk, satellite remote sensing interpretation of geological hazards, selection of multi-parameter monitoring and early warning demonstration sites, and construction of geological hazard monitoring and early warning demonstration sites; among which, The typical application scenario selection unit is used to select typical application scenarios of geological disasters based on topography, lithology, tectonic geology, hydrogeology, climate and precipitation and reservoir and dam construction elements. The geological hazard risk comprehensive assessment unit is used to assess the scale, type, main triggering factors, and impact range of landslides and collapses, and to evaluate their current status and stability under unfavorable working conditions. The geological disaster satellite remote sensing interpretation unit is used to interpret geological disasters on satellite remote sensing images by using satellite remote sensing interpretation markers for landslides and collapses. The multi-parameter monitoring and early warning demonstration point selection unit is used to perform an index-weighted average of various influencing factors of the demonstration point, and finally determine the monitoring and early warning demonstration points for different application scenarios. The geological disaster monitoring and early warning demonstration site construction unit is used to conduct instrument and equipment testing and construct monitoring and early warning demonstration sites by utilizing the monitoring and early warning platform.

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