Emergency resource scheduling method and system based on mountain group-occurring landslide disasters

Abstract

The invention discloses an emergency resource scheduling method and system based on mountain group-occurring landslide disasters, and relates to the technical field of disaster resource scheduling. According to the method, disaster-affected body toughness and disaster-causing body risk values are considered, and a fuzzy hierarchy method is utilized to calculate group landslide disaster-causing factor risk dimension values, group landslide disaster-pregnancy environment sensitivity, social system toughness of community units or village units and potential loss values of group landslide hidden danger points in mountain group landslide disaster areas; daily emergency material reserve is more scientific, and feasibility and efficiency of resource quantity distribution of disaster-affected points are improved; a rescue scheme planned according to a road network distance is abandoned, the driving time from each emergency reserve warehouse to each disaster area is dynamically acquired by using a real-time advanced driving path planning API, and the condition that each disaster point can obtain emergency resources in a short time is ensured by taking the minimum total driving time as a target function; the post-disaster rescue speed and the material guarantee capability are effectively improved, the regional disaster toughness is enhanced, and post-disaster reconstruction is facilitated.

Description

Technical Field

[0001] The present invention relates to the technical field of disaster resource dispatching, and in particular to an emergency resource dispatching method and system based on mass landslide disasters in mountainous areas. Background Art

[0002] Landslides are one of the common geological disasters in mountainous areas. Especially in areas with abundant rainfall and complex geological conditions, landslides are prone to occur frequently and are extremely destructive, seriously threatening the safety of human life and property and the stability of infrastructure. Reasonable planning of emergency resources in mountainous areas where landslides occur frequently can effectively improve the speed of post-disaster rescue and material support capabilities, and enhance regional disaster resilience.

[0003] Landslides in mountainous areas are characterized by being widespread and multi-point. Once a disaster occurs, emergency supplies are usually urgently needed at multiple disaster-affected areas at the same time. In the current emergency resource planning, the risk value of the disaster body is often used as the basis for the configuration model. The social resilience of the landslide disaster area itself is not fully considered, and there is a lack of dynamic adjustment mechanism. As a result, after the disaster occurs, due to limited emergency resources and chaotic resource scheduling, some disaster-affected areas are temporarily short of emergency supplies. Summary of the invention

[0004] The purpose of the present invention is to provide an emergency resource dispatching method and system based on mountain mass landslide disasters to improve the above technical problems.

[0005] In order to achieve the above-mentioned object of the invention, the embodiment of the present invention provides the following technical solutions:

[0006] An emergency resource dispatching method based on mountain mass landslide disasters, comprising:

[0007] S1. Obtaining landslide hazard index data in a mountainous mass landslide hazard area; wherein the mountainous mass landslide hazard area includes a plurality of community units or village units;

[0008] S2. Based on the landslide hazard index data, a corresponding landslide hazard index weight system is constructed;

[0009] S3. Based on the landslide hazard index weight system, calculate the corresponding multi-dimensional data of landslide hazard;

[0010] S4, constructing a risk assessment model; inputting multi-dimensional data of landslide disasters into the risk assessment model, and outputting corresponding landslide risk values;

[0011] S5. Process the landslide risk value using a dynamic programming algorithm to obtain the emergency resource demand level corresponding to the emergency reserve of each community unit or village unit;

[0012] S6. Based on the emergency resource demand level corresponding to each of the community units or village units, define the corresponding emergency resource reserve amount;

[0013] S7. Obtain the geographical location and disaster demand information of each disaster-stricken point in the mountainous landslide disaster area, and use the emergency resource reserves to -The constraint method and dynamic method match each emergency reserve with each disaster-stricken point to determine the emergency resource scheduling plan.

[0014] Furthermore, the landslide disaster index data include social system resilience index data, potential loss index data of clustered landslide risk points, hazard index data of disaster-causing factors of clustered landslide risk points, and disaster-prone environmental sensitivity index data of clustered landslide risk points;

[0015] The social system resilience indicator data include population density, per capita income and road density of the community or village;

[0016] The potential loss index data of the cluster landslide risk points include potential casualties and potential economic losses;

[0017] The hazard index data of the hazard factors of the cluster landslide potential points include the number of heavy rain days in the season, the previous effective rainfall and the basic intensity of earthquakes;

[0018] The disaster-prone environmental sensitivity index data of the cluster landslide risk points include elevation, slope, vegetation coverage, topsoil loss, distance from the fault zone, distance from the river and distance from engineering activities.

[0019] Furthermore, the corresponding landslide hazard index weight system is constructed based on the landslide hazard index data, including:

[0020] S2-1, scoring the landslide hazard index data using an expert scoring method to obtain corresponding scoring results;

[0021] S2-2. Based on the scoring results, construct a relative importance judgment matrix;

[0022] S2-3, based on the triangular fuzzy number, transforming the relative importance judgment matrix to obtain a corresponding triangular fuzzy importance judgment matrix;

[0023] S2-4, calculating the composite value of the triangular fuzzy importance judgment matrix and normalizing it to obtain the corresponding fuzzy weight vector;

[0024] S2-5. Based on the fuzzy weight vector, construct the landslide hazard index weight system.

[0025] Furthermore, the multi-dimensional data of landslide disasters include the hazard dimension value of the mass landslide disaster factor in the mountain mass landslide disaster area, the sensitivity of the mass landslide disaster-pregnant environment, the resilience of the social system of the community unit or the village unit, and the potential loss value of the mass landslide risk point; wherein:

[0026] The calculation formula of the hazard dimension value of the group landslide disaster factor is:

[0027] ;

[0028] in, Indicates the hazard dimension value of the group landslide hazard factor, , , They represent the weights of the number of heavy rain days, the previous effective rainfall, and the basic intensity of earthquakes. , , They represent the standardized values ​​of seasonal rainstorm days, previous effective rainfall, and basic earthquake intensity, respectively;

[0029] The calculation formula for the environmental sensitivity of cluster landslide disasters is:

[0030] ;

[0031] in, Indicates the sensitivity of the environment for mass landslide disasters. , , , , , , They represent the weights of elevation, slope, vegetation coverage, topsoil loss, distance to fault zone, distance to river and distance to engineering activities, respectively. , , , , , , They represent the standardized values ​​of elevation, slope, vegetation cover, topsoil loss, distance to fault zone, distance to river and distance to engineering activities respectively;

[0032] The calculation formula for the social system resilience of the community unit or village unit is:

[0033] ;

[0034] in, It indicates the resilience of the social system of community units or village units. , , Represent the weights of population density, per capita income and road density, respectively. , , denote the standardized values ​​of population density, per capita income, and road density, respectively;

[0035] The calculation formula for the potential loss value of the cluster landslide hazard point is:

[0036] ;

[0037] in, Indicates the potential loss value of cluster landslide risk points, , Represent the weights of potential casualties and potential economic losses, , respectively The standardized values ​​of potential casualties and potential economic losses are shown.

[0038] Furthermore, the formula of the risk assessment model is:

[0039] ;

[0040] in, Indicates the first The landslide sub-risk value corresponding to each community unit or village unit is: Indicates the first The hazard dimension value of the group landslide hazard factor corresponding to each community unit or village unit, Indicates the first The environmental sensitivity of landslide disasters in clusters corresponding to each community unit or village unit is Indicates the first The resilience of the social system corresponding to each community unit or village unit, Indicates the first The potential loss value of the cluster landslide risk points corresponding to each community unit or village unit;

[0041] The landslide risk value is the sum of the landslide sub-risk values ​​corresponding to all community units or village units in the mountainous landslide disaster area.

[0042] Furthermore, the landslide risk value is processed by the dynamic programming algorithm to obtain the emergency resource demand level corresponding to each community unit or village unit, including:

[0043] S5-1. Use the natural breakpoint method to classify the landslide risk value and obtain level;

[0044] S5-2, based on the number of community units or village units and each of the levels, determine segmentation points; based on each of the segmentation points, creating a corresponding category;

[0045] S5-3, calculating the category mean corresponding to the category; and calculating the intra-category square difference based on the category mean;

[0046] S5-4. Calculate the total intra-group square difference based on the intra-group square difference of the category ;

[0047] S5-5, based on total within-group square differences , use dynamic programming to gradually move each of the separation points, adjust the corresponding classification boundaries, and calculate the total intra-group square differences corresponding to each of the separation points ;

[0048] S5-6, the total intra-group square differences corresponding to each of the separation points Compare and select the separation point and classification boundary corresponding to the smallest total intra-group square difference;

[0049] S5-7, repeat S5-5 to S5-6 until the total within-group square difference is No longer lower, get the corresponding separation point configuration;

[0050] S5-8. Based on the separation point configuration, determine the emergency resource demand level corresponding to each of the community units or village units.

[0051] Furthermore, the geographical location and disaster demand information of each disaster-stricken point in the mountainous landslide disaster area are obtained, and based on the emergency resource reserve, the emergency reserve is dynamically matched with each disaster-stricken point using the ε-constraint method to determine the emergency resource dispatch plan for each disaster-stricken point, including:

[0052] S7-1, obtaining the geographical location and disaster demand information of each disaster-affected point in the mountainous landslide disaster area; wherein the disaster demand information is the resource demand of the disaster-affected point;

[0053] S7-2, using the AutoNavi driving route planning API to process the emergency reserve and the disaster-stricken point, and obtain the travel time between each emergency reserve and each disaster-stricken point;

[0054] S7-3, constructing a corresponding time matrix based on each of the driving times;

[0055] S7-4, randomly select a disaster site;

[0056] S7-5, based on the resource demand and the emergency resource reserve, using -Constraint method dynamic method sets decision variable constraints, resource supply constraints, emergency reserve resource limit constraints and time constraints;

[0057] S7-6, constructing an objective function for minimizing total travel time based on the time matrix;

[0058] S7-7, based on the decision variable constraint, the resource supply constraint, the emergency reserve resource limit constraint and the time constraint, solving the objective function of minimizing the total driving time, and determining the allocation amount of each emergency reserve depot to the disaster site;

[0059] S7-8. Based on the allocated amount, update the resource demand and the emergency resource reserve;

[0060] S7-9, repeat S7-4 to S7-8 until all the disaster-stricken points obtain corresponding allocations or the emergency resource reserve grain is exhausted, and the emergency resource scheduling plan is obtained.

[0061] Furthermore, the decision variable constraints are:

[0062] ;

[0063] in, , Respectively represent the index of the data set consisting of all emergency reserves and all disaster-stricken areas, Indicates at time Emergency reserve To the selected disaster-affected areas the amount of allocated resources assigned;

[0064] The resource supply constraints are:

[0065] ;

[0066] in, Indicates the number of emergency reserves in community units or village units, represents the demand satisfaction rate threshold, Indicates at time Select the disaster area The corresponding resource requirements;

[0067] The emergency reserve resource restrictions are:

[0068] ;

[0069] in, represents the number of disaster-affected areas in the mountainous landslide disaster area, Indicates at time China Emergency Reserve The amount of emergency resource reserves;

[0070] The time constraints:

[0071] ;

[0072] in, Indicates the selected disaster area The geographical location and resource demand upload time.

[0073] Furthermore, the formula for minimizing the total travel time objective function is:

[0074] ;

[0075] in, Indicates the total time of the disaster, represents minimizing the total travel time, It means that the objective function is minimized by adjusting the decision variables. Represents the time matrix.

[0076] An emergency resource dispatching system based on mountain mass landslide disasters includes a data acquisition module, an indicator weight system construction module, a multi-dimensional data calculation module, a risk assessment module, an emergency resource demand level determination module, an emergency resource reserve determination module and an emergency resource dispatching plan formulation module; wherein:

[0077] The data acquisition module is used to acquire and store the landslide disaster index data, the geographical location of each disaster-affected point and the disaster demand information in the mountainous mass landslide disaster area;

[0078] An indicator weight system construction module is used to construct a corresponding landslide hazard indicator weight system based on the landslide hazard indicator data;

[0079] A multi-dimensional data calculation module, used for calculating corresponding multi-dimensional data of landslide disasters based on the landslide disaster index weight system;

[0080] A risk assessment module is used to construct a risk assessment model; input the multi-dimensional data of landslide disasters into the risk assessment model, and output a corresponding landslide risk value;

[0081] An emergency resource demand level determination module is used to process the landslide risk value using a dynamic programming algorithm to obtain an emergency resource demand level corresponding to the emergency reserve of each community unit or village unit;

[0082] An emergency resource reserve quantity determination module, used to define the corresponding emergency resource reserve quantity based on the emergency resource demand level corresponding to each of the community units or village units;

[0083] The emergency resource dispatching plan formulation module is used to utilize the geographical location of each disaster-affected point, its disaster demand information and the emergency resource reserve to -The constraint method and dynamic method match each emergency reserve with each disaster-stricken point to determine the emergency resource scheduling plan.

[0084] The beneficial effects of the present invention are:

[0085] This method takes into account the resilience of the affected body and the risk value of the disaster-causing body, and uses the fuzzy hierarchy process to calculate the hazard dimension value of the landslide disaster factor in the mountain landslide disaster area, the sensitivity of the landslide disaster-pregnant environment, the resilience of the social system of the community unit or village unit, and the potential loss value of the landslide risk point, so as to make the daily emergency material reserves more scientific and improve the feasibility and efficiency of resource allocation at the disaster site.

[0086] This method takes into account the complex situation of rescue transportation in mountainous areas, abandons the planning of rescue plans based on road network distance, and considers using the real-time Amap driving route planning API to dynamically obtain the driving time from each emergency reserve (point) to each disaster-stricken area. The minimum total driving time is used as the objective function to ensure that each disaster-stricken point can obtain emergency resources in a short time, effectively improve the speed of post-disaster rescue and material support capabilities, and enhance regional disaster resilience, which is conducive to post-disaster reconstruction;

[0087] The system has a simple structure. It constructs the indicator data weights of mountain cluster landslide disasters, uses the risk assessment model to obtain the landslide risk value of mountain cluster landslide disasters, and effectively formulates the corresponding emergency resource scheduling plan based on the landslide risk value. BRIEF DESCRIPTION OF THE DRAWINGS

[0088] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for use in the embodiments are briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present invention and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without creative work.

[0089] Figure 1 A flow chart of a method in an embodiment of the present invention;

[0090] Figure 2 1 is a system structure diagram in an embodiment of the present invention. DETAILED DESCRIPTION

[0091] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. The components of the embodiments of the present invention generally described and represented in the drawings here can be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present invention provided in the drawings is not intended to limit the scope of the claimed invention, but merely represents the selected embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without making creative work belong to the scope of protection of the present invention.

[0092] See also Figure 1 This embodiment provides an emergency resource scheduling method based on mountain mass landslide disasters, which includes:

[0093] S1. Obtaining landslide hazard index data in a mountainous mass landslide hazard area; wherein the mountainous mass landslide hazard area includes a plurality of community units or village units;

[0094] The landslide disaster index data include social system resilience index data, potential loss index data of clustered landslide risk points, hazard index data of disaster-causing factors of clustered landslide risk points, and disaster-prone environmental sensitivity index data of clustered landslide risk points;

[0095] The social system resilience indicator data include population density, per capita income and road density of the community or village;

[0096] The potential loss index data of the cluster landslide risk points include potential casualties and potential economic losses;

[0097] The hazard index data of the hazard factors of the cluster landslide potential points include the number of heavy rain days in the season, the previous effective rainfall and the basic intensity of earthquakes;

[0098] The disaster-prone environmental sensitivity index data of the cluster landslide risk points include elevation, slope, vegetation coverage, topsoil loss, distance from the fault zone, distance from the river and distance from engineering activities.

[0099] S2. Based on the landslide hazard index data, a corresponding landslide hazard index weight system is constructed;

[0100] The corresponding landslide hazard index weight system is constructed based on the landslide hazard index data, including:

[0101] S2-1, scoring the landslide hazard index data using an expert scoring method to obtain corresponding scoring results;

[0102] S2-2. Based on the scoring results, a relative importance judgment matrix is ​​constructed. ;in, Indicates landslide hazard index data For landslide hazard index data The relative importance of Indicates the total number of landslide hazard indicator data;

[0103] S2-3. Based on the triangular fuzzy number, the relative importance judgment matrix is ​​transformed to obtain the corresponding triangular fuzzy importance judgment matrix. The corresponding process is:

[0104] Using the relative importance of triangular fuzzy numbers To define, ;in, Represents the minimum value, i.e., relative importance The lower limit of Represents the middle value, i.e., relative importance The possible value of Indicates the maximum value, i.e. relative importance The upper limit of

[0105] Setting the importance level is generally important ( ), more important ( ) and especially important ( ); Based on the importance level, the relative importance judgment matrix Converted to fuzzy number, i.e. relative importance The value of is generally important ( ), more important ( ) and especially important ( );

[0106] Calculate the relative importance judgment matrix The relative importance of each row in The sum of the values ​​is used to get the composite value of each indicator data. The corresponding formula is:

[0107] ;

[0108] in, Represents the total number of landslide hazard index data, Indicates landslide hazard index data The composite value of

[0109] All the composite values ​​constitute a triangular fuzzy importance judgment matrix;

[0110] S2-4, calculating the composite value of the triangular fuzzy importance judgment matrix and normalizing it to obtain the corresponding fuzzy weight vector;

[0111] Based on the formula:

[0112] ;

[0113] Get the fuzzy weight vector ;in, Represents an index, , Represents landslide hazard index data The composite value of Corresponding minimum value, landslide hazard index data The composite value of The corresponding minimum sum, , Represents landslide hazard index data The composite value of Corresponding median values ​​and landslide hazard index data The composite value of The corresponding sum of the intermediate values, , Represents landslide hazard index data The composite value of Corresponding maximum value and landslide hazard index data The composite value of The corresponding maximum sum.

[0114] S2-5. Based on the fuzzy weight vector, construct the landslide hazard index weight system.

[0115] Based on the formula:

[0116] ;

[0117] Get landslide hazard index data Corresponding landslide hazard index weight ;

[0118] The landslide hazard index weight system includes the landslide hazard index weights of all landslide hazard index data, namely .

[0119] S3. Based on the landslide hazard index weight system, calculate the corresponding multi-dimensional data of landslide hazard;

[0120] The multi-dimensional data of landslide disasters include the hazard dimension value of mass landslide disaster factors in the mountain mass landslide disaster area, the sensitivity of the mass landslide disaster-prone environment, the resilience of the social system of community units or village units, and the potential loss value of mass landslide risk points; among which:

[0121] The calculation formula of the hazard dimension value of the group landslide disaster factor is:

[0122] ;

[0123] in, Indicates the hazard dimension value of the group landslide hazard factor, , , They represent the weights of the number of heavy rain days, the previous effective rainfall, and the basic intensity of earthquakes. , , They represent the standardized values ​​of seasonal rainstorm days, previous effective rainfall, and basic earthquake intensity, respectively;

[0124] The calculation formula for the environmental sensitivity of cluster landslide disasters is:

[0125] ;

[0126] in, Indicates the sensitivity of the environment for mass landslide disasters. , , , , , , They represent the weights of elevation, slope, vegetation coverage, topsoil loss, distance to fault zone, distance to river and distance to engineering activities, respectively. , , , , , , They represent the standardized values ​​of elevation, slope, vegetation cover, topsoil loss, distance to fault zone, distance to river and distance to engineering activities respectively;

[0127] The calculation formula for the social system resilience of the community unit or village unit is:

[0128] ;

[0129] in, It indicates the resilience of the social system of community units or village units. , , Represent the weights of population density, per capita income and road density, respectively. , , denote the standardized values ​​of population density, per capita income, and road density, respectively;

[0130] The calculation formula for the potential loss value of the cluster landslide hazard point is:

[0131] ;

[0132] in, Indicates the potential loss value of cluster landslide risk points, , Represent the weights of potential casualties and potential economic losses, , respectively The standardized values ​​of potential casualties and potential economic losses are shown.

[0133] The present invention fully considers the hazard dimension values ​​of mass landslide hazard factors, the sensitivity of mass landslide disaster-prone environments, the resilience of the social system of community units or village units, and the potential loss values ​​of mass landslide risk points, thereby solving the problem of uneven distribution of emergency materials in the prior art due to insufficient consideration of disaster resilience. It also improves the accuracy of risk assessment, assists in the effective allocation of emergency resources, and first allocates emergency resources to the most severely affected disaster points.

[0134] S4, constructing a risk assessment model; inputting multi-dimensional data of landslide disasters into the risk assessment model, and outputting corresponding landslide risk values;

[0135] The formula of the risk assessment model is:

[0136] ;

[0137] in, Indicates the first The landslide sub-risk value corresponding to each community unit or village unit is: Indicates the first The hazard dimension value of the group landslide hazard factor corresponding to each community unit or village unit, Indicates the first The environmental sensitivity of landslide disasters in clusters corresponding to each community unit or village unit is Indicates the first The resilience of the social system corresponding to each community unit or village unit, Indicates the first The potential loss value of the cluster landslide risk points corresponding to each community unit or village unit;

[0138] The landslide risk value is the sum of the landslide sub-risk values ​​corresponding to all community units or village units in the mountainous landslide disaster area, that is, .

[0139] S5. Process the landslide risk value using a dynamic programming algorithm to obtain the emergency resource demand level corresponding to the emergency reserve of each community unit or village unit;

[0140] The landslide risk value is processed by the dynamic programming algorithm to obtain the emergency resource demand level corresponding to each community unit or village unit, including:

[0141] S5-1. Use the natural breakpoint method to classify the landslide risk value and obtain level;

[0142] S5-2. Based on the number of community units or village units and each of the above grades, determine Based on each of the separation points, create a corresponding category ;

[0143] S5-3, calculating the category mean corresponding to the category; and calculating the intra-category square difference based on the category mean;

[0144] The formula for calculating the category mean is:

[0145] ;

[0146] in, represents the category mean, Indicates The landslide sub-risk value of each community unit or village unit;

[0147] The formula for calculating the within-category squared difference is:

[0148] ;

[0149] in, represents the squared difference within category groups;

[0150] S5-4. Calculate the total intra-group square difference based on the intra-group square difference of the category ;

[0151] S5-5, based on total within-group square differences , use dynamic programming to gradually move each of the separation points, adjust the corresponding classification boundaries, and calculate the total intra-group square differences corresponding to each of the separation points ;

[0152] S5-6, the total intra-group square differences corresponding to each of the separation points Compare and select the separation point and classification boundary corresponding to the smallest total intra-group square difference;

[0153] S5-7, repeat S5-5 to S5-6 until the total within-group square difference is No longer lower, get the corresponding separation point configuration;

[0154] S5-8. Based on the separation point configuration, determine the emergency resource demand level corresponding to each of the community units or village units.

[0155] S6. Based on the emergency resource demand level corresponding to each of the community units or village units, define the corresponding emergency resource reserve amount;

[0156] S7. Obtain the geographical location and disaster demand information of each disaster-stricken point in the mountainous landslide disaster area, and use the emergency resource reserves to -The constraint method and dynamic method match each emergency reserve with each disaster-stricken point to determine the emergency resource scheduling plan.

[0157] The method of obtaining the geographical location and disaster demand information of each disaster-stricken point in the mountainous landslide disaster area, and dynamically matching the emergency reserve with each disaster-stricken point based on the emergency resource reserve, and determining the emergency resource dispatching plan for each disaster-stricken point by using the ε-constraint method, includes:

[0158] S7-1. Obtain the geographical location and disaster demand information of each disaster-affected point in the mountainous landslide disaster area, upload it, and record the upload time ; Wherein, the disaster demand information is the resource demand of the disaster site;

[0159] S7-2, using the AutoNavi driving route planning API to process the emergency reserve and the disaster-stricken point, and obtain the travel time between each emergency reserve and each disaster-stricken point;

[0160] S7-3, constructing a corresponding time matrix based on each of the driving times;

[0161] S7-4, at the moment Next, select a disaster-affected point at random;

[0162] S7-5, based on the resource demand and the emergency resource reserve, using -Constraint method dynamic method setting time The corresponding decision variable constraints, resource supply constraints, emergency reserve resource limit constraints and time constraints;

[0163] The decision variable constraints are:

[0164] ;

[0165] in, , Respectively represent the index of the data set consisting of all emergency reserves and all disaster-stricken areas, Indicates at time Emergency reserve To the selected disaster-affected areas the amount of allocated resources assigned;

[0166] The resource supply constraints are:

[0167] ;

[0168] in, Indicates the number of emergency reserves in community units or village units, represents the demand satisfaction rate threshold, Indicates at time Select the disaster area The corresponding resource requirements;

[0169] The emergency reserve resource restrictions are:

[0170] ;

[0171] in, represents the number of disaster-affected areas in the mountainous landslide disaster area, Indicates at time China Emergency Reserve The amount of emergency resource reserves;

[0172] The time constraint is used to ensure that the resource demand of each disaster-affected area is responded to only after the data is uploaded, that is, if the time S < SC, resources cannot be allocated. The corresponding expression is:

[0173] ;

[0174] in, Indicates the selected disaster area The geographical location and resource demand upload time.

[0175] S7-6, constructing an objective function for minimizing total travel time based on the time matrix;

[0176] The formula for minimizing the total travel time objective function is:

[0177] ;

[0178] in, Indicates the total time of the disaster, represents minimizing the total travel time, It means that the objective function is minimized by adjusting the decision variables. Represents the time matrix.

[0179] S7-7, based on the decision variable constraint, the resource supply constraint, the emergency reserve resource limit constraint and the time constraint, solving the objective function of minimizing the total driving time, and determining the allocation amount of each emergency reserve depot to the disaster site;

[0180] S7-8. Based on the allocated amount, update the resource demand and the emergency resource reserve;

[0181] S7-9, repeat S7-4 to S7-8 until all the disaster-stricken points obtain corresponding allocations or the emergency resource reserve grain is exhausted, and the emergency resource scheduling plan is obtained.

[0182] In summary, the present invention considers the resilience of the affected body and the risk value of the disaster-causing body, and uses the fuzzy hierarchy process to calculate the hazard dimension value of the mass landslide disaster factor in the mountain mass landslide disaster area, the sensitivity of the mass landslide disaster-pregnant environment, the social system resilience of the community unit or the village unit, and the potential loss value of the mass landslide hidden danger point, so as to make the daily emergency material reserves more scientific and improve the feasibility and efficiency of resource allocation at the disaster-affected point;

[0183] The present invention takes into account the complex situation of rescue transportation in mountainous areas, abandons the rescue plan based on the road network distance, and considers using the real-time Gaode driving route planning API to dynamically obtain the driving time from each emergency reserve warehouse (point) to each disaster-stricken area, with the minimum total driving time as the objective function, to ensure that each disaster-stricken point can obtain emergency resources in a short time, effectively improve the post-disaster rescue speed and material support capabilities, and enhance the regional disaster resilience, which is conducive to post-disaster reconstruction; group landslides usually cause multiple regions to be affected at different times, and dynamic adjustments can be made according to the needs at different times to meet emergency needs.

[0184] like Figure 2 As shown, an emergency resource dispatching system based on mountain mass landslide disasters includes a data acquisition module, an indicator weight system construction module, a multi-dimensional data calculation module, a risk assessment module, an emergency resource demand level determination module, an emergency resource reserve determination module and an emergency resource dispatching plan formulation module; wherein:

[0185] The data acquisition module is used to acquire and store the landslide disaster indicator data, the geographical location of each disaster-affected point and the disaster demand information in the mountainous mass landslide disaster area;

[0186] An indicator weight system construction module is used to construct a corresponding landslide hazard indicator weight system based on the landslide hazard indicator data;

[0187] A multi-dimensional data calculation module, used for calculating corresponding multi-dimensional data of landslide disasters based on the landslide disaster index weight system;

[0188] A risk assessment module is used to construct a risk assessment model; input the multi-dimensional data of landslide disasters into the risk assessment model, and output a corresponding landslide risk value;

[0189] An emergency resource demand level determination module is used to process the landslide risk value using a dynamic programming algorithm to obtain an emergency resource demand level corresponding to the emergency reserve of each community unit or village unit;

[0190] An emergency resource reserve quantity determination module, used to define the corresponding emergency resource reserve quantity based on the emergency resource demand level corresponding to each of the community units or village units;

[0191] The emergency resource dispatching plan formulation module is used to utilize the geographical location of each disaster-affected point, its disaster demand information and the emergency resource reserve to -The constraint method and dynamic method match each emergency reserve with each disaster-stricken point to determine the emergency resource scheduling plan.

[0192] The system has a simple structure. It constructs the indicator data weights of mountain cluster landslide disasters, uses the risk assessment model to obtain the landslide risk value of mountain cluster landslide disasters, and effectively formulates the corresponding emergency resource scheduling plan based on the landslide risk value.

[0193] The above is only a specific embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art can easily think of changes or substitutions within the technical scope disclosed by the present invention, which should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention should be based on the protection scope of the claims.

Claims

1. An emergency resource dispatching method based on mountain mass landslide disasters, characterized in that: include: S1. Obtaining landslide hazard index data in a mountainous mass landslide hazard area; wherein the mountainous mass landslide hazard area includes a plurality of community units or village units; S2. Based on the landslide hazard index data, a corresponding landslide hazard index weight system is constructed; S3. Based on the landslide hazard index weight system, calculate the corresponding multi-dimensional data of landslide hazard; S4, constructing a risk assessment model; inputting multi-dimensional data of landslide disasters into the risk assessment model, and outputting corresponding landslide risk values; S5. Process the landslide risk value using a dynamic programming algorithm to obtain the emergency resource demand level corresponding to the emergency reserve of each community unit or village unit; S6. Based on the emergency resource demand level corresponding to each of the community units or village units, define the corresponding emergency resource reserve amount; S7. Obtain the geographical location and disaster demand information of each disaster-stricken point in the mountainous landslide disaster area, and use the emergency resource reserves to -The constraint method and dynamic method match each emergency reserve with each disaster-stricken point to determine the emergency resource scheduling plan.

2. An emergency resource dispatching method based on mountain mass landslide disasters according to claim 1, characterized in that: The landslide disaster index data include social system resilience index data, potential loss index data of clustered landslide risk points, hazard index data of disaster-causing factors of clustered landslide risk points, and disaster-prone environmental sensitivity index data of clustered landslide risk points; The social system resilience indicator data include population density, per capita income and road density of the community or village; The potential loss index data of the cluster landslide risk points include potential casualties and potential economic losses; The hazard index data of the hazard factors of the cluster landslide potential points include the number of heavy rain days in the season, the previous effective rainfall and the basic intensity of earthquakes; The disaster-prone environmental sensitivity index data of the cluster landslide risk points include elevation, slope, vegetation coverage, topsoil loss, distance from the fault zone, distance from the river and distance from engineering activities.

3. An emergency resource dispatching method based on mountain mass landslide disasters according to claim 1, wherein the corresponding landslide disaster index weight system is constructed based on the landslide disaster index data, comprising: S2-1, scoring the landslide hazard index data using an expert scoring method to obtain corresponding scoring results; S2-2. Based on the scoring results, construct a relative importance judgment matrix; S2-3, based on the triangular fuzzy number, transforming the relative importance judgment matrix to obtain a corresponding triangular fuzzy importance judgment matrix; S2-4, calculating the composite value of the triangular fuzzy importance judgment matrix and normalizing it to obtain the corresponding fuzzy weight vector; S2-5. Based on the fuzzy weight vector, construct the landslide hazard index weight system.

4. An emergency resource dispatching method based on mountain mass landslide disasters according to claim 1, wherein the multi-dimensional data of landslide disasters include the hazard dimension value of mass landslide disaster factors in the mountain mass landslide disaster area, the sensitivity of the mass landslide disaster-pregnant environment, the resilience of the social system of the community unit or the village unit, and the potential loss value of the mass landslide risk point; wherein: The calculation formula of the hazard dimension value of the group landslide disaster factor is: ； in, Indicates the hazard dimension value of the group landslide hazard factor, , , They represent the weights of the number of heavy rain days, the previous effective rainfall, and the basic intensity of earthquakes. , , They represent the standardized values ​​of seasonal rainstorm days, previous effective rainfall, and basic earthquake intensity, respectively; The calculation formula for the environmental sensitivity of cluster landslide disasters is: ； in, Indicates the sensitivity of the environment for mass landslide disasters. , , , , , , They represent the weights of elevation, slope, vegetation coverage, topsoil loss, distance to fault zone, distance to river and distance to engineering activities, respectively. , , , , , , They represent the standardized values ​​of elevation, slope, vegetation cover, topsoil loss, distance to fault zone, distance to river and distance to engineering activities respectively; The calculation formula for the social system resilience of the community unit or village unit is: ； in, It indicates the resilience of the social system of community units or village units. , , Represent the weights of population density, per capita income and road density, respectively. , , denote the standardized values ​​of population density, per capita income, and road density, respectively; The calculation formula for the potential loss value of the cluster landslide hazard point is: ； in, Indicates the potential loss value of cluster landslide risk points, , Represent the weights of potential casualties and potential economic losses, respectively. , respectively The standardised values ​​of potential casualties and potential economic losses are shown.

5. An emergency resource dispatching method based on mountain mass landslide disasters according to claim 1, wherein the formula of the risk assessment model is: ； in, Indicates the first The landslide sub-risk value corresponding to each community unit or village unit is: Indicates the first The hazard dimension value of the group landslide hazard factor corresponding to each community unit or village unit, Indicates the first The environmental sensitivity of landslide disasters corresponding to each community unit or village unit is Indicates the first The resilience of the social system corresponding to each community unit or village unit, Indicates the first The potential loss value of the cluster landslide risk point corresponding to each community unit or village unit; The landslide risk value is the sum of the landslide sub-risk values ​​corresponding to all community units or village units in the mountainous landslide disaster area.

6. An emergency resource dispatching method based on mountain mass landslide disasters according to claim 1, wherein the landslide risk value is processed by a dynamic programming algorithm to obtain the emergency resource demand level corresponding to each community unit or village unit, including: S5-1. Use the natural breakpoint method to classify the landslide risk value and obtain level; S5-2, based on the number of community units or village units and each of the levels, determine segmentation points; based on each of the segmentation points, creating a corresponding category; S5-3, calculating the category mean corresponding to the category; and calculating the intra-category square difference based on the category mean; S5-4. Calculate the total intra-group square difference based on the intra-group square difference of the category ; S5-5, based on total within-group square differences , use dynamic programming to gradually move each of the separation points, adjust the corresponding classification boundaries, and calculate the total intra-group square differences corresponding to each of the separation points ; S5-6, the total intra-group square differences corresponding to each of the separation points Compare and select the separation point and classification boundary corresponding to the smallest total intra-group square difference; S5-7, repeat S5-5 to S5-6 until the total within-group square difference is adjusted No longer lower, get the corresponding separation point configuration; S5-8. Based on the separation point configuration, determine the emergency resource demand level corresponding to each of the community units or village units.

7. An emergency resource dispatching method based on mountain mass landslide disasters according to claim 1, wherein the geographical location and disaster demand information of each disaster-stricken point in the mountain mass landslide disaster area are obtained, and based on the emergency resource reserve, the emergency reserve library is dynamically matched with each disaster-stricken point using the ε-constraint method to determine the emergency resource dispatching plan for each disaster-stricken point, including: S7-1, obtaining the geographical location and disaster demand information of each disaster-affected point in the mountainous landslide disaster area; wherein the disaster demand information is the resource demand of the disaster-affected point; S7-2, using the AutoNavi driving route planning API to process the emergency reserve and the disaster-stricken point, and obtain the travel time between each emergency reserve and each disaster-stricken point; S7-3, constructing a corresponding time matrix based on each of the driving times; S7-4, randomly select a disaster site; S7-5, based on the resource demand and the emergency resource reserve, using -Constraint method dynamic method sets decision variable constraints, resource supply constraints, emergency reserve resource limit constraints and time constraints; S7-6, constructing an objective function for minimizing total travel time based on the time matrix; S7-7, based on the decision variable constraint, the resource supply constraint, the emergency reserve resource limit constraint and the time constraint, solving the objective function of minimizing the total driving time, and determining the allocation amount of each emergency reserve depot to the disaster site; S7-8. Based on the allocated amount, update the resource demand and the emergency resource reserve; S7-9, repeat S7-4 to S7-8 until all the disaster-stricken points obtain corresponding allocations or the emergency resource reserve grain is exhausted, and the emergency resource scheduling plan is obtained.

8. An emergency resource dispatching method based on mountain mass landslide disasters according to claim 7, wherein the decision variable constraints are: ； in, , Respectively represent the index of the data set consisting of all emergency reserves and all disaster-stricken areas, Indicates at time Emergency reserve To the selected disaster-affected areas the amount of allocated resources assigned; The resource supply constraints are: ； in, Indicates the number of emergency reserves in community units or village units, represents the demand satisfaction rate threshold, Indicates at time Select the disaster area The corresponding resource requirements; The emergency reserve resource restrictions are: ； in, represents the number of disaster-affected areas in the mountainous landslide disaster area, Indicates at time China Emergency Reserve The amount of emergency resource reserves; The time constraints: ； in, Indicates the selected disaster area The geographical location and resource demand upload time.

9. An emergency resource dispatching method based on mountain mass landslide disasters according to claim 7, wherein the formula for minimizing the total driving time objective function is: ； in, Indicates the total time of the disaster, represents minimizing the total travel time, It means that the objective function is minimized by adjusting the decision variables. Represents the time matrix.

10. An emergency resource dispatching system based on mountain mass landslide disasters, used to implement the emergency resource dispatching method based on mountain mass landslide disasters according to any one of claims 1 to 9, characterized in that: It includes data acquisition module, indicator weight system construction module, multi-dimensional data calculation module, risk assessment module, emergency resource demand level determination module, emergency resource reserve determination module and emergency resource scheduling plan formulation module; among which: The data acquisition module is used to acquire and store the landslide disaster index data, the geographical location of each disaster-affected point and the disaster demand information in the mountainous mass landslide disaster area; An indicator weight system construction module is used to construct a corresponding landslide hazard indicator weight system based on the landslide hazard indicator data; A multi-dimensional data calculation module, used for calculating corresponding multi-dimensional data of landslide disasters based on the landslide disaster index weight system; A risk assessment module is used to construct a risk assessment model; input the multi-dimensional data of landslide disasters into the risk assessment model, and output a corresponding landslide risk value; An emergency resource demand level determination module is used to process the landslide risk value using a dynamic programming algorithm to obtain an emergency resource demand level corresponding to the emergency reserve of each community unit or village unit; An emergency resource reserve quantity determination module, used to define the corresponding emergency resource reserve quantity based on the emergency resource demand level corresponding to each of the community units or village units; The emergency resource dispatching plan formulation module is used to utilize the geographical location of each disaster-affected point, its disaster demand information and the emergency resource reserve to -The constraint method and dynamic method match each emergency reserve with each disaster-stricken point to determine the emergency resource scheduling plan.

Images