A site selection method, system, equipment and medium for road emergency equipment depot

Abstract

The present invention discloses a site selection method, system, equipment, and medium for a road emergency equipment depot, relating to the field of road emergency equipment depot site selection. The method comprises: constructing a comprehensive road fracture risk assessment index system based on four dimensions: flooding, geology, earthquakes, and soil erosion; utilizing the index system to conduct fracture risk assessment on the road system in a target area; performing an overlay analysis operation on the assessment results using a GIS spatial analysis module to determine grid results for each risk dimension and a comprehensive risk result; performing a weighted summation of the four assessment results to obtain a road fracture risk score grid result for the target area; determining risk request points and potential facility candidate points based on the score grid results; and importing the risk request points and potential facility candidate points to conduct site selection analysis using a model that maximizes coverage and minimizes the number of facility points. The present invention can comprehensively assess road fracture risk and propose effective equipment depot site selection and design solutions.

Description

Technical Field

[0001] The present invention relates to the field of site selection for road emergency equipment depots, and in particular to a site selection method, system, equipment and medium for road emergency equipment depots. Background Art

[0002] The Road Emergency Equipment Warehouse (REEW) is a storage warehouse for emergency equipment and supplies set up to deal with sudden road failures.

[0003] With the development of society and the acceleration of urbanization, the frequency and scope of natural disasters and emergencies are increasing, posing a serious threat to the safety of life and property, as well as social stability. In the field of emergency management, the site selection of road emergency equipment depots has become a key research topic. Ensuring that the number of selected depots is minimal and their coverage is as large as possible has become a pressing technical challenge. Summary of the Invention

[0004] The embodiments of the present invention provide a site selection method, system, device and medium for a road emergency equipment library, which can solve the problem in the prior art that the site selection results and coverage of the road emergency equipment library cannot meet the needs.

[0005] An embodiment of the present invention provides a method for selecting a site for a road emergency equipment depot, comprising the following steps:

[0006] Assess the road fracture risk in the target area based on four dimensions: flooding, geology, earthquakes, and soil erosion. Set weights for each dimension and obtain the assessment results of the road fracture risk in the target area.

[0007] Based on the assessment results and weights, a spatial analysis GIS is used to perform overlay analysis to determine the road fracture risk score raster results for the target area. The risk values in the road fracture risk score raster results for the target area are mapped to the breakpoints of the road, and the fracture risk of the road is determined based on the risk values at the breakpoints of the road. The breakpoints of the road where the fracture risk meets the first set threshold are used as risk request points.

[0008] Road breakpoints with risk values less than the second set threshold are used as preliminary facility candidate points, and residential areas, gas stations, toll stations, service areas, and road maintenance stations are used as supplementary facility candidate points. The preliminary facility candidate points and supplementary facility candidate points together constitute the potential facility candidate points of the road emergency equipment library;

[0009] In order to ensure that risk request points receive responses from potential facility candidate points within the preset response time, GIS site selection analysis is used to select the site for road emergency equipment depots with the goal of maximizing coverage and minimizing the number of facility points.

[0010] Furthermore, the road fracture risk of the target area is assessed based on the four dimensions of flooding, geology, earthquake, and soil erosion, and the weight of each dimension is set to obtain the assessment result of the road fracture risk of the target area. The specific steps include:

[0011] A distance buffer method was used to simulate river flooding in flood disasters, and standardized flood disaster risks were assessed based on distance levels;

[0012] Register the distribution map of the prone area and calculate the kernel density value of the prone point, then use GIS overlay analysis and take the standardized average value as the geological hazard risk result;

[0013] Using the national active fault zone and national dynamic peak acceleration data, the highest level of active fault distance risk and ground motion peak acceleration risk is taken as the earthquake disaster risk result;

[0014] Soil erosion is affected by slope factors, slope length factors, precipitation erosion factors, soil erodibility factors, vegetation coverage factors, and soil and water conservation measures factors. Based on these soil erosion factors, the modified universal soil loss equation (RUSLE) model is used to obtain the soil erosion modulus. The soil erosion modulus is then divided into six erosion levels using the quantile method to obtain standardized soil erosion risk results.

[0015] Assign a weight of 4 to flood, 3 to geology, 2 to soil erosion, and 1 to earthquake.

[0016] Furthermore, the RUSLE model is formulated as follows:

[0017] A=H*R*K*C*P;

[0018] Among them, A represents the soil erosion modulus, H is the terrain relief factor, R is the precipitation erosion factor, K is the soil erodibility factor, C is the vegetation coverage factor, and P is the soil and water conservation measures factor;

[0019] Topographic relief factor H = Hmax - Hmin;

[0020] Among them, H is the terrain relief factor, Hmax is the maximum elevation, and Hmin is the minimum elevation.

[0021] An embodiment of the present invention provides a site selection system for a road emergency equipment library, comprising:

[0022] The risk assessment module is used to assess the road fracture risk in the target area based on four dimensions: flooding, geology, earthquakes, and soil erosion, set the weight of each dimension, and obtain the assessment results of the road fracture risk in the target area;

[0023] The point selection module is used to perform overlay analysis using a spatial analysis GIS based on the assessment results and weights to determine the road fracture risk score raster results for the target area; the risk values in the road fracture risk score raster results for the target area are mapped to the road breakpoints, and the road fracture risk is determined based on the risk values at the road breakpoints. The breakpoints of the road whose fracture risk meets a first set threshold are used as risk request points; the road breakpoints with risk values less than a second set threshold are used as preliminary facility candidate points, and residential areas, gas stations, toll stations, service areas, and road maintenance stations are used as supplementary facility candidate points. The preliminary facility candidate points and supplementary facility candidate points together constitute the potential facility candidate points of the road emergency equipment library;

[0024] The site selection module is used to ensure that risk request points obtain responses from potential facility candidate points within the preset response time, with the goal of maximizing coverage and minimizing the number of facility points, and uses GIS site selection analysis to select the site for road emergency equipment depots.

[0025] An embodiment of the present invention provides a computer device, comprising: a memory and a processor; the memory stores a computer program, and the processor implements the above-mentioned method for selecting a site for a road emergency equipment library when executing the computer program.

[0026] An embodiment of the present invention provides a computer-readable storage medium storing a computer program. When the computer program is executed by a processor, the computer program implements the above-mentioned method for selecting a site for a road emergency equipment library.

[0027] The embodiments of the present invention provide a method, system, device, and medium for selecting a site for a road emergency equipment depot. Compared with the prior art, the methods and systems have the following advantages:

[0028] In the site selection method, the road fracture risk in the target area is assessed based on four dimensions: flooding, geology, earthquakes, and soil erosion. Weights are set for each dimension, and the assessment results of the road fracture risk in the target area are obtained. Based on the assessment results and weights, a spatial analysis (GIS) overlay analysis is performed to determine a road fracture risk score grid for the target area. Based on the score grid results, risk request points and potential facility candidate points are determined. To ensure that risk request points receive responses from potential facility candidate points within a preset response time, a site selection analysis is performed with the goal of maximizing coverage and minimizing the number of facility points, resulting in the site selection results for the road emergency equipment library. This method can comprehensively assess road fracture risks, ensuring that the number of site selection results for the road emergency equipment library is as small as possible and the coverage is as large as possible. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] Figure 1 A flowchart of a method for selecting a site for a road emergency equipment library provided by an embodiment of the present invention;

[0030] Figure 2 A structural block diagram of a method for selecting a site for a road emergency equipment library provided by an embodiment of the present invention;

[0031] Figure 3 A structural block diagram of a computer device for a method for selecting a site for a road emergency equipment library provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0032] To make the above-mentioned objects, features, and advantages of the present invention more readily apparent, specific embodiments of the present invention are described in detail below with reference to the accompanying drawings. The following description sets forth numerous specific details to facilitate a full understanding of the present invention. However, the present invention can be implemented in many other ways than those described herein, and those skilled in the art may make similar modifications without departing from the scope of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0033] See also Figure 1 The embodiment of the present invention provides a method for selecting a site for a road emergency equipment depot, comprising the following steps:

[0034] Step 1: Assess the road fracture risk in the target area based on four dimensions: flooding, geology, earthquakes, and soil erosion. Set the weight of each dimension and obtain the assessment results of the road fracture risk in the target area.

[0035] Step 2: Based on the assessment results and weights, use spatial analysis GIS to perform overlay analysis to determine the road fracture risk score raster results for the target area; correspond the risk values in the road fracture risk score raster results for the target area to the breakpoints of the road, and determine the road fracture risk based on the risk values at the breakpoints of the road. The breakpoints of the road whose fracture risk meets the first set threshold are used as risk request points; the road breakpoints with risk values less than the second set threshold are used as preliminary facility candidate points, and residential areas, gas stations, toll stations, service areas, and road maintenance stations are used as supplementary facility candidate points. The preliminary facility candidate points and supplementary facility candidate points together constitute the potential facility candidate points of the road emergency equipment library.

[0036] Step 3: To ensure that risk request points receive responses from potential facility candidate points within the preset response time, GIS site selection analysis is used to select the site for the road emergency equipment depot with the goal of maximizing coverage and minimizing the number of facility points.

[0037] The specific content of the present invention is as follows:

[0038] S101. Construct a comprehensive assessment index system for road fracture risk based on the four dimensions of floods, geology, earthquakes, and soil erosion. The weights of the four dimensions are ranked from large to small as follows: floods, geology, soil erosion, and earthquakes.

[0039] The comprehensive evaluation results of road disaster risks in the target layer need to first add the weights of the four risks of the first-level indicators, assigning the weight of flood to 4, the weight of geology to 3, the weight of soil erosion to 2, and the weight of earthquake to 1.

[0040] Flood disaster risk is the main factor causing road ruptures in the region. In view of the fact that road damage in flood disasters is mainly caused by river bursting and flood outflow, the present invention adopts the distance buffer method to simulate the flooding of rivers caused by flood disasters and assesses the standardized flood disaster risk according to the distance level.

[0041] The geological hazard risk is the result of a comprehensive analysis of geological hazard-prone areas and locations. The distribution map of the prone areas is aligned and the kernel density value of the prone locations is calculated. GIS is then used for overlay analysis and the standardized average value is taken as the geological hazard risk result.

[0042] Risk assessment was conducted using the national active fault zone and national dynamic peak acceleration data. The two were superimposed and scored, and the highest level of active fault distance risk and seismic peak acceleration risk was taken as the earthquake disaster risk result, as shown in Tables 1 and 2.

[0043] Table 1 shows the risk levels of the fault zone distance.

[0044]

[0045] Table 2 shows the hazard level of peak acceleration of earthquake motion.

[0046]

[0047] For soil erosion assessment, the present invention calculates the various factors and final results of the RUSLE model and uses the quantile method to divide them into six erosion levels, namely, slight, mild, moderate, strong, very strong and severe erosion, as shown in Table 3, and finally obtains the standardized soil erosion risk results.

[0048] Table 3 is the soil erosion modulus classification table.

[0049]

[0050] S102. Use an index system to conduct a fracture risk assessment of the road system in the target area; the dimensions of soil erosion include slope factor, slope length factor, precipitation erosion factor, soil erodibility factor, vegetation coverage factor, and soil and water conservation measures factor.

[0051] In the temperature of soil erosion, the soil erosion modulus is expressed as: A=H*R*K*C*P; where A represents the soil erosion modulus, H is the terrain relief factor, R is the precipitation erosion factor, K is the soil erodibility factor, C is the vegetation coverage factor, and P is the soil and water conservation measures factor.

[0052] The terrain relief factor H is calculated using DEM elevation data using the following formula: H=Hmax-Hmin; where H is the terrain relief factor, Hmax is the highest elevation value, and Hmin is the minimum elevation value.

[0053] The precipitation erosion factor R is calculated using the following formula:

[0054] .

[0055] Where Ra is the precipitation erosivity in year a, Pa is the precipitation in year a, α and β are parameters in the model, α = 0.0534, β = 1.6548.

[0056] The soil erodibility factor K was calculated using the EPIC model based on the soil texture data of the region. The formula is as follows:

[0057] .

[0058] In the formula: SAN is sand, unit: %; SIL is silt, unit: %; CLA is clay, unit: %; C is soil organic carbon, unit: %; SN=1-SAN / 100.

[0059] The calculation formula of vegetation coverage factor C is as follows:

[0060] .

[0061] Where: C is the vegetation coverage factor; c is the vegetation coverage.

[0062] In the calculation of the soil and water conservation measure factor P, the value is assigned with reference to the land use situation, and the soil and water conservation measure factor is obtained, as shown in Table 4:

[0063] Table 4 is the soil and water conservation measures factor assignment table.

[0064]

[0065] S103. Perform an overlay analysis on the assessment results through the GIS spatial analysis module to determine the raster results of each risk dimension and the comprehensive risk result. Perform a weighted addition on the four assessment results to obtain the road fracture risk score raster result for the target area. Determine the risk request point and potential facility candidate points based on the score raster result.

[0066] S104. Import risk request points and potential facility candidate points, and use the model of maximizing coverage and minimizing the number of facility points to perform site selection analysis to obtain the site selection results of the road emergency equipment library.

[0067] GIS network analysis was used to locate a road emergency equipment library. A traffic network dataset was constructed based on the processed road network, and impedance was set. Most road emergency equipment, such as loaders and tractors, has a maximum speed of approximately 30-40 km / h. To ensure that emergency equipment responds to a request within one hour, a minimum speed of 30 km / h was set, equivalent to a road impedance of 30,000 m.

[0068] In one implementation of the present invention, in the step of determining risk request points and potential facility candidate points based on the scoring grid results:

[0069] Through spatial analysis, the raster risk value is extracted to the road breakpoint, and the road risk is judged according to the breakpoint risk value to obtain the demand point set with different disaster degrees.

[0070] Based on road safety, road sections with risk values less than 0.06 are selected as optional roads, and their midpoints are used as preliminary facility candidate points. In addition, residential areas, gas stations, toll stations, service areas, and existing road maintenance stations in the target area POI data are supplemented as qualified facility candidate points to obtain potential facility candidate points.

[0071] Therefore, the present invention utilizes the GIS spatial analysis module to implement operations such as calculation and overlay analysis on specific spatial data elements, including spatial query and measurement, buffer analysis, overlay analysis, spatial interpolation and other functions. Furthermore, through the GIS overlay analysis operation, the raster results of each risk dimension and the comprehensive risk result can be determined, and the four evaluation results are weighted and added to obtain a standardized raster result of the road fracture risk score in a certain area. Before determining the point site selection operation, the use of GIS spatial analysis and data management functions is a key step, mainly involving two categories: risk request points and potential facility candidate points that may serve as site selection points.

[0072] Risk demand points are road breakpoints that occur when a disaster strikes, and they are divided into seven levels based on the severity of the damage. Through spatial analysis, raster risk values are extracted and assigned to road breakpoints. The road risk is then assessed based on the breakpoint risk values, resulting in demand point sets for three different levels of damage.

[0073] Potential facility candidate sites were sourced from relatively safe roads and existing highway-related facilities. Road segments with a safety risk of less than 0.06 were selected as potential sites, and their midpoints were used as preliminary facility candidate sites. Additionally, qualified facility candidate sites were supplemented by POI data for the target area, including residential areas, gas stations, toll booths, service areas, and existing road maintenance stations, for a total of 441 potential facility candidate sites.

[0074] The present invention imports risk request points and potential facility candidate points, and adopts a model of maximizing coverage and minimizing the number of facility points to perform site selection analysis, so as to ensure that the site selection results are as few as possible and the coverage is as large as possible.

[0075] In summary, the road emergency equipment depot site selection method based on multi-dimensional risk assessment provided by the present invention can comprehensively assess the risk of road rupture and propose effective equipment depot site selection and design solutions to cope with the challenges that may be brought about by various natural disasters in the study area.

[0076] Beneficial effects of the present invention:

[0077] The site selection method constructs a comprehensive road fracture risk assessment index system based on four dimensions: flooding, geology, earthquakes, and soil erosion. The index system is used to assess the fracture risk of the road system in the target area. The assessment results are then overlaid and analyzed using the GIS spatial analysis module to determine the grid results for each risk dimension and the comprehensive risk result. The four evaluation results are then weighted and added together to obtain a road fracture risk score grid for the target area. Risk request points and potential facility candidate points are then determined based on the score grid results. These risk request points and potential facility candidate points are then imported and site selection analysis is performed using a model that maximizes coverage and minimizes the number of facilities to determine the site selection results for the road emergency equipment depot. This method can comprehensively assess road fracture risk and propose effective equipment depot site selection and design solutions to address the challenges posed by various natural disasters in the study area.

[0078] The road emergency equipment depot site selection system based on multi-dimensional risk assessment constructed by the present invention includes the following modules:

[0079] The system construction module 201 is used to construct a comprehensive assessment index system for road fracture risk based on four dimensions: floods, geology, earthquakes, and soil erosion. The weight assignments of the four dimensions are ranked from large to small as follows: floods, geology, soil erosion, and earthquakes.

[0080] The risk assessment module 202 is used to use an indicator system to conduct a fracture risk assessment on the road system in the target area; wherein the dimensions of soil erosion include slope factor, slope length factor, precipitation erosion factor, soil erodibility factor, vegetation coverage factor and soil and water conservation measures factor.

[0081] The point selection module 203 is used to perform an overlay analysis operation on the assessment structure through the GIS spatial analysis module to determine the raster results of each risk dimension and the comprehensive risk result, and to perform a weighted addition of the four evaluation results to obtain the road fracture risk score raster result of the target area. The risk request point and potential facility candidate point are determined based on the score raster result.

[0082] The site selection module 204 is used to import risk request points and potential facility candidate points, and perform site selection analysis using a model that maximizes coverage and minimizes the number of facility points to obtain a site selection result for the road emergency equipment library.

[0083] An embodiment of the present invention provides a site selection system for a road emergency equipment library, comprising:

[0084] The risk assessment module is used to assess the road fracture risk in the target area based on four dimensions: flood, geology, earthquake, and soil erosion, set the weight of each dimension, and obtain the assessment results of the road fracture risk in the target area.

[0085] The point selection module is used to perform overlay analysis using spatial analysis GIS based on the assessment results and weights to determine the road fracture risk score raster results of the target area; the risk values in the road fracture risk score raster results of the target area are mapped to the breakpoints of the road, and the fracture risk of the road is determined based on the risk values at the breakpoints of the road. The breakpoints of the road whose fracture risk meets the first set threshold are used as risk request points; the breakpoints of the road with risk values less than the second set threshold are used as preliminary facility candidate points, and residential areas, gas stations, toll stations, service areas and road maintenance stations are used as supplementary facility candidate points. The preliminary facility candidate points and supplementary facility candidate points together constitute the potential facility candidate points of the road emergency equipment library.

[0086] The site selection module is used to ensure that risk request points obtain responses from potential facility candidate points within the preset response time, with the goal of maximizing coverage and minimizing the number of facility points, and uses GIS site selection analysis to select the site for road emergency equipment depots.

[0087] An embodiment of the present invention provides a computer device, comprising: a memory and a processor; the memory stores a computer program, and the processor implements the steps of a site selection method for a road emergency equipment library when executing the computer program.

[0088] An embodiment of the present invention provides a computer-readable storage medium storing a computer program. When the computer program is executed by a processor, the computer program implements the steps of a method for selecting a site for a road emergency equipment library.

[0089] A specific embodiment is as follows:

[0090] This embodiment discloses a method for selecting a site for a road emergency equipment depot, and the specific steps are as follows:

[0091] S1. Construct a comprehensive assessment index system for road fracture risk based on four dimensions: floods, geology, earthquakes, and soil erosion. The weights of the four dimensions are ranked from large to small as follows: floods, geology, soil erosion, and earthquakes.

[0092] S2. Use an indicator system to assess the fracture risk of the road system in the target area; the dimensions of soil erosion include slope factor, slope length factor, precipitation erosion factor, soil erodibility factor, vegetation coverage factor, and soil and water conservation measures factor.

[0093] S3. Use the GIS spatial analysis module to perform overlay analysis on the assessment structure to determine the raster results of each risk dimension and the comprehensive risk result. Perform weighted addition on the four assessment results to obtain the road fracture risk score raster result for the target area. Determine the risk request points and potential facility candidate points based on the score raster results.

[0094] S4. Import risk request points and potential facility candidate points, and use the model of maximizing coverage and minimizing the number of facility points to perform site selection analysis to obtain the site selection results of the road emergency equipment library.

[0095] The above-described embodiments merely illustrate several implementations of the present invention, and while their descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the patent. It should be noted that a person skilled in the art would be able to make numerous variations and improvements without departing from the spirit of the present invention, all of which fall within the scope of protection of the present invention. Therefore, the scope of protection of the patent for this invention shall be determined by the appended claims.

Claims

1. A method for selecting a site for a road emergency equipment depot, characterized in that: The following steps are involved: Assess the road fracture risk in the target area based on four dimensions: flooding, geology, earthquakes, and soil erosion. Set weights for each dimension and obtain the assessment results of the road fracture risk in the target area. Based on the assessment results and weights, a spatial analysis GIS is used to perform overlay analysis to determine the road fracture risk score raster results for the target area. The risk values in the road fracture risk score raster results for the target area are mapped to the breakpoints of the road, and the fracture risk of the road is determined based on the risk values at the breakpoints of the road. The breakpoints of the road where the fracture risk meets the first set threshold are used as risk request points. Road breakpoints with risk values less than the second set threshold are used as preliminary facility candidate points, and residential areas, gas stations, toll stations, service areas, and road maintenance stations are used as supplementary facility candidate points. The preliminary facility candidate points and supplementary facility candidate points together constitute the potential facility candidate points of the road emergency equipment library; To ensure that risk request points receive responses from potential facility candidate points within the preset response time, GIS site selection analysis is used to select the site for road emergency equipment depots with the goal of maximizing coverage and minimizing the number of facility points. The road fracture risk of the target area is assessed based on the four dimensions of flooding, geology, earthquake, and soil erosion, and the weight of each dimension is set to obtain the assessment result of the road fracture risk of the target area. The specific steps include: A distance buffer method was used to simulate river flooding in flood disasters, and standardized flood disaster risks were assessed based on distance levels; Register the distribution map of the prone area and calculate the kernel density value of the prone point, then use GIS overlay analysis and take the standardized average value as the geological hazard risk result; Using the national active fault zone and national dynamic peak acceleration data, the highest level of active fault distance risk and ground motion peak acceleration risk is taken as the earthquake disaster risk result; Soil erosion is affected by slope factors, slope length factors, precipitation erosion factors, soil erodibility factors, vegetation coverage factors, and soil and water conservation measures factors. Based on these soil erosion factors, the modified universal soil loss equation (RUSLE) model is used to obtain the soil erosion modulus. The soil erosion modulus is then divided into six erosion levels using the quantile method to obtain standardized soil erosion risk results. Assign a weight of 4 to flood, 3 to geology, 2 to soil erosion, and 1 to earthquake; The RUSLE model formula is: A=H*R*K*C*P; Among them, A represents the soil erosion modulus, H is the terrain relief factor, R is the precipitation erosion factor, K is the soil erodibility factor, C is the vegetation coverage factor, and P is the soil and water conservation measures factor; Topographic relief factor H = Hmax - Hmin; Among them, H is the terrain relief factor, Hmax is the maximum elevation, and Hmin is the minimum elevation.

2. A site selection system for a road emergency equipment depot, characterized in that: include: The risk assessment module is used to assess the road fracture risk in the target area based on four dimensions: flooding, geology, earthquakes, and soil erosion, set the weight of each dimension, and obtain the assessment results of the road fracture risk in the target area; The point selection module is used to perform overlay analysis using a spatial analysis GIS based on the assessment results and weights to determine the road fracture risk score raster results for the target area; the risk values in the road fracture risk score raster results for the target area are mapped to the road breakpoints, and the road fracture risk is determined based on the risk values at the road breakpoints. The breakpoints of the road whose fracture risk meets a first set threshold are used as risk request points; the road breakpoints with risk values less than a second set threshold are used as preliminary facility candidate points, and residential areas, gas stations, toll stations, service areas, and road maintenance stations are used as supplementary facility candidate points. The preliminary facility candidate points and supplementary facility candidate points together constitute the potential facility candidate points of the road emergency equipment library; The site selection module is used to ensure that risk request points receive responses from potential facility candidate points within the preset response time, with the goal of maximizing coverage and minimizing the number of facility points. It uses GIS site selection analysis to select the site for road emergency equipment depots. The road fracture risk of the target area is assessed based on the four dimensions of flooding, geology, earthquake, and soil erosion, and the weight of each dimension is set to obtain the assessment result of the road fracture risk of the target area. The specific steps include: A distance buffer method was used to simulate river flooding in flood disasters, and standardized flood disaster risks were assessed based on distance levels; Register the distribution map of the prone area and calculate the kernel density value of the prone point, then use GIS overlay analysis and take the standardized average value as the geological hazard risk result; Using the national active fault zone and national dynamic peak acceleration data, the highest level of active fault distance risk and ground motion peak acceleration risk is taken as the earthquake disaster risk result; Soil erosion is affected by slope factors, slope length factors, precipitation erosion factors, soil erodibility factors, vegetation coverage factors, and soil and water conservation measures factors. Based on these soil erosion factors, the modified universal soil loss equation (RUSLE) model is used to obtain the soil erosion modulus. The soil erosion modulus is then divided into six erosion levels using the quantile method to obtain standardized soil erosion risk results. Assign a weight of 4 to flood, 3 to geology, 2 to soil erosion, and 1 to earthquake; The RUSLE model formula is: A=H*R*K*C*P; Among them, A represents the soil erosion modulus, H is the terrain relief factor, R is the precipitation erosion factor, K is the soil erodibility factor, C is the vegetation coverage factor, and P is the soil and water conservation measures factor; Topographic relief factor H = Hmax - Hmin; Among them, H is the terrain relief factor, Hmax is the maximum elevation, and Hmin is the minimum elevation.

3. A computer device comprising: memory and processor; The memory stores a computer program, and is characterized in that when the processor executes the computer program, it implements the site selection method for a road emergency equipment library as described in claim 1.

4. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the method for selecting a site for a road emergency equipment library as claimed in claim 1 is implemented.

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