Mountain urban disaster prevention and control data analysis method based on urban information model

Abstract

The invention provides a mountain and town disaster prevention and control data analysis method based on an urban information model, and the method comprises the steps: dividing a mountain and town into a plurality of prevention and control regions based on a disaster partitioning mechanism in the urban information model, and extracting the disaster intensity characteristics of each prevention and control region from disaster prevention and control data; performing mutual information association on the prevention and control areas according to the disaster intensity characteristics to obtain a disaster association relationship in the mountain cities and towns, and determining disaster linkage quantities of the prevention and control areas in the mountain cities and towns according to the disaster association relationship; determining a core disaster area in the mountainous region and the town according to all disaster linkage quantities, and further determining a linkage emergency strategy of the disasters in the mountainous region and the town according to the characteristic difference between the core disaster area and each disaster intensity characteristic; and carrying out linkage response on disasters in mountainous cities and towns through the linkage emergency strategy. Based on the scheme, linkage analysis of disaster characteristics and prevention and control strategies can be realized, so that the mountain and town disaster response efficiency can be improved.

Description

Technical Field

[0001] The present application relates to the technical field of urban supervision management, and more specifically, to a mountain town disaster prevention and control data analysis method based on an urban information model. Background Art

[0002] Mountain towns face the risk of various natural disasters such as landslides, mudslides, and flash floods due to complex terrain and changeable climate. Therefore, disaster prevention and control are crucial. Accurate disaster risk assessment is the basis for prevention and control. High-risk areas can be identified through geological surveys and remote sensing technology to provide a scientific basis for disaster prevention measures. Architectural planning should focus on disaster-resistant design and strengthen the disaster resistance of urban infrastructure to ensure safety when disasters occur.

[0003] Traditional disaster prevention and control methods often rely on historical data or static models and lack adaptability to dynamic changes in disasters, resulting in inaccurate disaster predictions. Linkage analysis can monitor and analyze the relationship between disaster characteristics and prevention and control strategies in real time, dynamically adjust prevention and control measures, and improve disaster prediction accuracy and response efficiency. Through in-depth analysis of disaster characteristics and linkage relationships, resource allocation can be optimized to avoid waste or unbalanced allocation of prevention and control resources. At the same time, due to the linkage effect of disasters, the rigidity of traditional prevention and control strategies leads to delayed response, while linkage analysis can flexibly adjust emergency response strategies according to actual disaster characteristics, shorten disaster emergency response time, and improve prevention and control effects. Therefore, how to achieve linkage analysis of disaster characteristics and prevention and control strategies to improve the efficiency of disaster response in mountainous towns is a difficult problem faced by the industry. Summary of the invention

[0004] The present application provides a mountain town disaster prevention and control data analysis method based on an urban information model, which can realize the linkage analysis of disaster characteristics and prevention and control strategies, thereby improving the efficiency of mountain town disaster response.

[0005] The present application provides a method for analyzing data on disaster prevention and control in mountainous towns based on an urban information model, the method comprising the following steps:

[0006] Obtain disaster prevention and control data in mountain towns within a specified time period;

[0007] Based on the disaster zoning mechanism in the urban information model, the mountainous town is divided into a plurality of prevention and control areas, and then the disaster intensity characteristics of each prevention and control area are extracted from the disaster prevention and control data;

[0008] According to the characteristics of each disaster intensity, the mutual information of each prevention and control area is correlated to obtain the disaster linkage relationship in the mountain town, and then the disaster linkage amount of each prevention and control area in the mountain town is determined according to the disaster linkage relationship and the time-frequency characteristics of the disaster in the mountain town;

[0009] Obtaining the initial prevention and control strategy of the mountain town at the current moment, determining the core disaster area in the mountain town according to the initial prevention and control strategy and all disaster linkage quantities, and then determining the linkage emergency strategy of disasters in the mountain town through the characteristic differences between the core disaster area and the characteristics of each disaster intensity;

[0010] The linkage emergency strategy is used to carry out linkage response to disasters in mountain towns.

[0011] In this embodiment, the mountainous town is divided into multiple prevention and control areas based on the disaster zoning mechanism in the city information model, specifically including:

[0012] Obtain geological structure information and historical disaster distribution information in mountain towns;

[0013] Clustering the geological regions in the mountain town based on the geological structure information to obtain a plurality of geological region clusters;

[0014] Extracting intra-cluster disaster characteristics of each geological region cluster from the historical disaster distribution information;

[0015] Based on the disaster zoning mechanism in the urban information model and the characteristics of all intra-cluster disasters, the geological regions in mountainous towns are divided twice to obtain multiple prevention and control areas.

[0016] In this embodiment, extracting the disaster intensity characteristics of each prevention and control area from the disaster prevention and control data specifically includes:

[0017] For each prevention and control area, extracting the disaster prevention and control record of the prevention and control area from the disaster prevention and control data;

[0018] Determine the prevention and control priority of the prevention and control area based on the disaster prevention and control records;

[0019] Obtain the characteristics of all disasters within the cluster in the prevention and control area;

[0020] The disaster intensity characteristics of the prevention and control area are determined by the prevention and control priority and all the disaster characteristics within the cluster, and then the disaster intensity characteristics of each prevention and control area are obtained.

[0021] In this embodiment, mutual information association is performed on each prevention and control area according to each disaster intensity characteristic, and the disaster involvement relationship in mountain towns is obtained, which specifically includes:

[0022] For each prevention and control area, obtain the prevention and control adjacent area of ​​the prevention and control area, and then determine the intensity of all adjacent disasters corresponding to the prevention and control adjacent area;

[0023] Based on the mutual information mechanism, the disaster intensity of each adjacent disaster is associated with the disaster intensity characteristics of the prevention and control area to obtain the disaster involvement value of the prevention and control area, and then the disaster involvement value of each prevention and control area is obtained;

[0024] The disaster involvement relationships in mountain towns are determined based on all disaster involvement values.

[0025] In this embodiment, determining the disaster linkage amount of each prevention and control area in the mountainous town according to the disaster involvement relationship and the time-frequency characteristics of the disaster in the mountainous town specifically includes:

[0026] Obtain the time-frequency characteristics of disasters in mountain towns;

[0027] For each prevention and control area in the mountain town, the disaster involvement value of the prevention and control area is obtained from the disaster involvement relationship;

[0028] The disaster linkage amount of the prevention and control areas is determined according to the time-frequency characteristics of the disaster and the disaster involvement value, and then the disaster linkage amount of each prevention and control area in the mountain town is obtained.

[0029] In this embodiment, determining the core disaster area in the mountain town according to the initial prevention and control strategy and all disaster linkage quantities specifically includes:

[0030] Obtain historical records of disaster prevention and control in mountain towns;

[0031] Determining the core linkage threshold of disasters in mountain towns based on the historical disaster prevention and control records and the initial prevention and control strategy;

[0032] The core disaster areas in the mountainous towns are screened out from the mountainous towns based on the core linkage threshold and all disaster linkage quantities.

[0033] In this embodiment, the linkage emergency response strategy for disasters in mountainous towns is determined by the characteristic differences between the core disaster area and each disaster intensity characteristic, and specifically includes:

[0034] Obtain all prevention and control areas included in the core disaster area, and then determine the characteristic differences of the disaster intensity characteristics corresponding to each prevention and control area;

[0035] Generate the core prevention and control strategy of the core disaster area based on all the characteristic differences;

[0036] The core prevention and control strategy and the initial prevention and control strategy are combined to obtain a linkage emergency strategy for disasters in mountainous towns.

[0037] In this embodiment, performing a coordinated response to disasters in mountain towns through the coordinated emergency strategy is to use the coordinated emergency strategy as a disaster prevention and control strategy for disasters in mountain towns to perform disaster response.

[0038] In this embodiment, the city information model is a digital platform that integrates various types of data on mountain towns.

[0039] In this embodiment, disaster prevention and control data in mountainous towns within a specified time period is obtained from the city information model.

[0040] The technical solution provided by the embodiments disclosed in this application has the following beneficial effects:

[0041] By obtaining disaster prevention and control data in mountainous towns within a specified time period; dividing mountainous towns into multiple prevention and control areas based on the disaster zoning mechanism in the urban information model, and then extracting the disaster intensity characteristics of each prevention and control area from the disaster prevention and control data; performing mutual information correlation on each prevention and control area according to each disaster intensity characteristic to obtain the disaster involvement relationship in the mountainous town, and then determining the disaster linkage amount of each prevention and control area in the mountainous town according to the disaster involvement relationship and the time-frequency characteristics of the disaster in the mountainous town; obtaining the initial prevention and control strategy of the mountainous town at the current moment, determining the core disaster area in the mountainous town according to the initial prevention and control strategy and all the disaster linkage amounts, and then determining the linkage emergency strategy of disasters in the mountainous town through the characteristic differences between the core disaster area and each disaster intensity characteristic; and performing linkage response to disasters in the mountainous town through the linkage emergency strategy.

[0042] It can be seen that in this application, the core disaster area in the mountain town is determined according to the initial prevention and control strategy and all the disaster linkage quantities, and then the linkage emergency strategy of the disaster in the mountain town is determined by the characteristic differences between the core disaster area and the characteristics of each disaster intensity, and the disaster in the mountain town is linked to the emergency strategy. Respond to the disaster in the mountain town; first, the determination of the disaster intensity characteristics is a quantitative expression of the degree of disaster impact in the mountain town, which helps to accurately assess the specific disaster risks faced by each area. By determining the disaster intensity characteristics, different prevention and control strategies can be tailored for each area, so that the response measures can be more targeted, which helps to avoid waste of resources or excessive prevention and control in the prevention and control process, and ensure the scientificity and efficiency of disaster response; then, the determination of the disaster linkage quantity helps to reveal the interaction and impact between disasters, especially in a complex environment such as a mountain town, where multiple disasters may interact and produce complex risks. By calculating the disaster linkage quantity, it is possible to determine which areas of disasters will trigger chain reactions in other areas, and then predict the path and speed of disaster spread. Through the linkage effect analysis, the prevention and control measures can be more systematic, avoiding the possibility that local responses fail to cover other disaster-stricken areas or ignore chain reactions, thereby improving the coordination and efficiency of the overall disaster response.

[0043] In summary, the technical solution adopted in this application can realize the linkage analysis of disaster characteristics and prevention and control strategies, thereby improving the efficiency of disaster response in mountainous towns. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only the embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0045] Figure 1 is an exemplary flow chart of a mountain town disaster prevention and control data analysis method based on an urban information model provided in this application;

[0046] Figure 2 is an exemplary flow chart for determining a control area according to the present application;

[0047] Figure 3 It is an exemplary flow chart for determining disaster linkage amount provided in this application. DETAILED DESCRIPTION

[0048] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0049] The embodiment of the present application provides a method for analyzing mountain town disaster prevention and control data based on an urban information model, the core of which is to divide mountain towns into multiple prevention and control areas based on the disaster zoning mechanism in the urban information model, and then extract the disaster intensity characteristics of each prevention and control area from the disaster prevention and control data; perform mutual information correlation on each prevention and control area according to each disaster intensity characteristic to obtain the disaster involvement relationship in the mountain town, and then determine the disaster linkage amount of each prevention and control area in the mountain town according to the disaster involvement relationship; determine the core disaster area in the mountain town according to all the disaster linkage amounts, and then determine the linkage emergency strategy for disasters in the mountain town through the characteristic differences between the core disaster area and each disaster intensity characteristic; and perform linkage response to disasters in the mountain town through the linkage emergency strategy. Based on the above scheme, linkage analysis of disaster characteristics and prevention and control strategies can be achieved, thereby improving the efficiency of disaster response in mountain towns.

[0050] In order to better understand the above technical solution, the above technical solution will be described in detail below in conjunction with the accompanying drawings and specific implementation methods. Figure 1 As shown in FIG. 1 , this figure is an exemplary flow chart of a mountain town disaster prevention and control data analysis method based on an urban information model according to this embodiment of the present application. The data analysis method includes the following steps:

[0051] In step S1, disaster prevention and control data in mountain towns within a specified time period is obtained.

[0052] It should be noted that in this application, disaster prevention and control data are data used to describe the conditions, processes and prevention and control measures for the occurrence of disasters. The disaster prevention and control data include disaster-related environmental, meteorological, geological, infrastructure, transportation and other data; in specific implementation, disaster prevention and control data in mountain towns within a specified time period (the default is the last 1 year) can be obtained from the urban information model.

[0053] In step S2, the mountain town is divided into a plurality of prevention and control areas based on the disaster zoning mechanism in the urban information model, and then the disaster intensity characteristics of each prevention and control area are extracted from the disaster prevention and control data.

[0054] Preferably, in this embodiment, reference Figure 2 As shown, this figure is an exemplary flow chart for determining the prevention and control area in an embodiment of the present application. In this embodiment, the mountain town is divided into multiple prevention and control areas based on the disaster zoning mechanism in the urban information model, which can be implemented by the following steps:

[0055] First, in step S21, geological structure information and historical disaster distribution information in mountain towns are obtained;

[0056] Then, in step S22, the geological regions in the mountain town are clustered based on the geological structure information to obtain a plurality of geological region clusters;

[0057] Secondly, in step S23, the intra-cluster disaster characteristics of each geological region cluster are extracted from the historical disaster distribution information;

[0058] Finally, in step S24, the geological areas in mountainous towns are divided twice based on the disaster zoning mechanism in the urban information model and the disaster characteristics within all clusters to obtain multiple prevention and control areas.

[0059] It should be noted that in the present application, geological structure information reflects the geological background of the town, and the geological structure information includes geological characteristic data such as rock layer distribution, fault zones, soil types, etc. of mountain towns; historical disaster distribution information refers to the spatial distribution of various disaster events that have occurred in history, and the historical disaster distribution information includes data such as the type, time of occurrence, intensity, and location of the disaster; the geological regional cluster refers to a regional cluster composed of geological regions with great similarity in geological structure in mountain towns; the disaster characteristics within the cluster refer to the characteristics of historical disasters within the geological regional cluster.

[0060] In specific implementation, first, the geological structure information in mountainous towns and the historical disaster distribution information within a specified time period (the default is the most recent year) can be obtained from the urban information model; secondly, a spatial clustering algorithm (for example, K-means clustering algorithm) is used to perform cluster analysis on the geological structure information, and the results of the cluster analysis can be used as geological region clusters to obtain multiple geological region clusters; then, a feature extraction algorithm (for example, spatiotemporal feature method) is used to extract the intra-cluster disaster characteristics of each geological region cluster from the historical disaster distribution information; finally, the disaster zoning mechanism in the urban information model (for example, multi-criteria decision-making method) can be used to perform weighted scoring on all intra-cluster disaster characteristics to obtain the characteristic scores of the disaster characteristics within each cluster, and then a spatial clustering algorithm (for example, K-means clustering algorithm) is used to perform secondary clustering division on the geological regions in mountainous towns, and the results of the secondary clustering division are used as prevention and control areas to obtain multiple prevention and control areas.

[0061] It should be noted that the disaster zoning mechanism in the urban information model is a method of scientifically dividing disaster risks and resource allocation in urban space. The disaster zoning mechanism can help decision makers divide regions according to various disaster characteristics (such as disaster type, intensity, frequency of occurrence, etc.) and formulate corresponding prevention and control strategies for each region. Common disaster zoning mechanisms include regional division based on multi-criteria decision-making methods.

[0062] In this embodiment, the disaster intensity characteristics of each prevention and control area can be extracted from the disaster prevention and control data by using the following steps:

[0063] For each prevention and control area, extracting the disaster prevention and control record of the prevention and control area from the disaster prevention and control data;

[0064] Determine the prevention and control priority of the prevention and control area based on the disaster prevention and control records;

[0065] Obtain the characteristics of all disasters within the cluster in the prevention and control area;

[0066] The disaster intensity characteristics of the prevention and control area are determined by the prevention and control priority and all the disaster characteristics within the cluster, and then the disaster intensity characteristics of each prevention and control area are obtained.

[0067] It should be noted that in this application, disaster intensity characteristics are indicators for measuring the severity of disasters; disaster prevention and control records refer to historical records of prevention and control measures, response strategies, and restoration situations implemented in prevention and control areas after a disaster occurs; and prevention and control priority indicates the degree of priority treatment of prevention and control areas.

[0068] In the specific implementation, first, for each prevention and control area, the existing data mining algorithm can be used to extract the disaster prevention and control records of the prevention and control area from the disaster prevention and control data; secondly, the prevention and control response time ranking of the prevention and control area after each disaster occurs can be obtained in the disaster prevention and control records, and the mean of all prevention and control response time rankings can be used as the prevention and control priority of the prevention and control area; then, all cluster disaster characteristics in the prevention and control area are obtained; finally, a fuzzy logic model based on a neural network is initialized, and the prevention and control priority is used as the mapping target in the fuzzy logic model, and all cluster disaster characteristics are used as mapping rules. Based on the fuzzy logic model, fuzzy reasoning is performed on the disaster intensity of the prevention and control area, and the result of the fuzzy reasoning can be used as the disaster intensity feature of the prevention and control area. The disaster intensity characteristics of each prevention and control area can be obtained in the above manner.

[0069] In step S3, mutual information association is performed on each prevention and control area according to the characteristics of each disaster intensity to obtain the disaster linkage relationship in the mountain town, and then the disaster linkage amount of each prevention and control area in the mountain town is determined according to the disaster linkage relationship and the time-frequency characteristics of the disaster in the mountain town.

[0070] In this embodiment, mutual information correlation is performed on each prevention and control area according to each disaster intensity characteristic, and the disaster involvement relationship in the mountain town can be obtained by the following steps:

[0071] For each prevention and control area, obtain the prevention and control adjacent area of ​​the prevention and control area, and then determine the intensity of all adjacent disasters corresponding to the prevention and control adjacent area;

[0072] Based on the mutual information mechanism, the disaster intensity of each adjacent disaster is associated with the disaster intensity characteristics of the prevention and control area to obtain the disaster involvement value of the prevention and control area, and then the disaster involvement value of each prevention and control area is obtained;

[0073] The disaster involvement relationships in mountain towns are determined based on all disaster involvement values.

[0074] It should be noted that in the present application, the disaster involvement relationship refers to the disaster transmission dependency relationship between different prevention and control areas; the prevention and control adjacent area refers to the area adjacent to or closely connected to the prevention and control area; the adjacent disaster intensity refers to the intensity of the disaster in the area adjacent to the prevention and control area; the disaster involvement value indicates the disaster transmission between prevention and control areas. The larger the involvement value, the stronger the correlation between disaster transmission between regions.

[0075] In the specific implementation, first, for each prevention and control area, the set of other prevention and control areas adjacent to the prevention and control area is defined as the prevention and control adjacent area according to the geographic area boundaries predefined in the geospatial data and the urban information model, and the disaster intensity characteristics of each prevention and control area in the prevention and control adjacent area are obtained as the corresponding adjacent disaster intensity, so that all adjacent disaster intensities corresponding to the prevention and control adjacent area can be obtained; then, the mutual information formula can be used to calculate the mutual information value of the disaster intensity between each adjacent disaster intensity and the disaster intensity characteristics of the prevention and control area as the result of disaster association, that is, the disaster involvement value of the prevention and control area. The disaster involvement value of each prevention and control area can be obtained in the above way; finally, the set of all disaster involvement values ​​can be used as the disaster involvement relationship in mountainous towns.

[0076] Preferably, in this embodiment, reference Figure 3 As shown, this figure is an exemplary flow chart for determining the disaster linkage amount in an embodiment of the present application. In this embodiment, the disaster linkage amount of each prevention and control area in the mountain town is determined according to the disaster involvement relationship and the time-frequency characteristics of the disaster in the mountain town, which can be achieved by the following steps:

[0077] First, in step S31, the time-frequency characteristics of disasters in mountainous towns are obtained;

[0078] Then, in step S32, for each prevention and control area in the mountain town, the disaster involvement value of the prevention and control area is obtained from the disaster involvement relationship;

[0079] Finally, in step S33, the disaster linkage amount of the prevention and control area is determined according to the disaster time-frequency characteristics and the disaster involvement value, and then the disaster linkage amount of each prevention and control area in the mountain town is obtained.

[0080] It should be noted that, in the present application, the disaster linkage quantity represents the transmission intensity and linkage risk of disasters between different prevention and control areas, and the disaster linkage quantity reflects the linkage effect between the prevention and control areas due to the disaster intensity and time-frequency characteristics; in specific implementation, first, the disaster time-frequency characteristics in mountainous towns can be obtained from the urban information model, and the disaster time-frequency characteristics are characteristics that describe the changing laws of disaster events in time and frequency; then, for each prevention and control area in the mountainous town, the disaster involvement value of the prevention and control area is obtained from the disaster involvement relationship; finally, a supervised learning prediction model based on support vector machine is initialized, and the disaster time-frequency characteristics are used as the input features in the supervised learning prediction model, and the disaster involvement value is used as the target variable in the supervised learning prediction model. The supervised learning prediction model is used to predict the disaster linkage quantity, and the predicted result value can be used as the disaster linkage quantity of the prevention and control area.

[0081] In step S4, the initial prevention and control strategy of the mountain town at the current moment is obtained, and the core disaster area in the mountain town is determined according to the initial prevention and control strategy and all disaster linkage quantities, and then the linkage emergency strategy of disasters in the mountain town is determined through the characteristic differences between the core disaster area and the characteristics of each disaster intensity.

[0082] In this embodiment, the initial prevention and control strategy of the mountain town at the current moment is obtained. In specific implementation, the initial prevention and control strategy of the mountain town at the current moment can be obtained from the urban information model. It should be noted that in this application, the initial prevention and control strategy refers to the preliminary prevention and control measures of the mountain town for disasters at the current moment, and the initial prevention and control strategy includes the demarcation of priority prevention and control areas, resource allocation, emergency response and other contents.

[0083] Preferably, in this embodiment, the following steps are used to determine the core disaster area in the mountain town according to the initial prevention and control strategy and all disaster linkage quantities:

[0084] Obtain historical records of disaster prevention and control in mountain towns;

[0085] Determining the core linkage threshold of disasters in mountain towns based on the historical disaster prevention and control records and the initial prevention and control strategy;

[0086] The core disaster areas in the mountainous towns are screened out from the mountainous towns based on the core linkage threshold and all disaster linkage quantities.

[0087] It should be noted that, in the present application, the core disaster area represents a key area where disaster prevention and control needs to be given priority; in specific implementation, first, the historical disaster prevention and control records in the mountain town within a specified time period (the default is the most recent year) can be obtained from the urban information model, and the historical disaster prevention and control records contain the disaster linkage amount at each disaster prevention and control; then, the experience factor is preset through the initial prevention and control strategy, so that the product of the standard deviation of all disaster linkage amounts and the experience factor is used as the threshold deviation value, and then the sum of the threshold deviation value and the mean of all disaster linkage amounts can be used as the core linkage threshold of disasters in mountain towns. The core linkage threshold is the critical value for judging whether the prevention and control area needs priority prevention and control; finally, the set of prevention and control areas corresponding to each disaster linkage amount in the mountain town that is greater than the core linkage threshold can be used as the core disaster area in the mountain town.

[0088] In this embodiment, the linkage emergency response strategy for disasters in mountainous towns can be determined by the characteristic differences between the core disaster area and each disaster intensity characteristic, which can be implemented by the following steps:

[0089] Obtain all prevention and control areas included in the core disaster area, and then determine the characteristic differences of the disaster intensity characteristics corresponding to each prevention and control area;

[0090] Generate the core prevention and control strategy of the core disaster area based on all the characteristic differences;

[0091] The core prevention and control strategy and the initial prevention and control strategy are combined to obtain a linkage emergency strategy for disasters in mountainous towns.

[0092] It should be noted that in this application, the linkage emergency strategy is a global emergency response plan to ensure that all prevention and control areas in mountainous towns can respond quickly and in a coordinated manner; the characteristic difference represents the differentiated characteristics of disaster intensity in different prevention and control areas; the core prevention and control strategy refers to the disaster emergency prevention and control plan adopted for the core disaster area.

[0093] In the specific implementation, first, all the prevention and control areas included in the core disaster area are obtained, and the mean of the characteristic values ​​of the disaster intensity characteristics of all the prevention and control areas is taken as the intensity mean. For each prevention and control area, the average of the absolute values ​​of the difference between the characteristic value of the disaster intensity characteristics of the prevention and control area and the characteristic values ​​of the disaster intensity characteristics of other prevention and control areas is calculated as the absolute mean. The ratio of the absolute value of the difference between the characteristic value of the disaster intensity characteristics of the prevention and control area minus the intensity mean and the absolute mean is taken as the characteristic difference of the disaster intensity characteristics of the prevention and control area. The characteristic difference of the disaster intensity characteristics of each prevention and control area can be obtained by the above method. Then, for each prevention and control area in the core disaster area, according to the characteristics of the prevention and control area, Based on the characteristic differences in disaster intensity, specific prevention and control measures can be formulated. If the disaster intensity in the prevention and control area varies greatly (such as frequent major disasters), disaster monitoring, evacuation drills, disaster early warning and other measures can be added. For areas with smaller disaster intensity, lighter prevention and control measures such as strengthening early warning and disaster prevention education can be selected. Through the above method, the prevention and control measures of each prevention and control area in the core disaster area can be obtained as the core prevention and control strategy of the prevention and control area; finally, the initial prevention and control strategy is used as the initial point of the merger, and the prevention and control measures for the same area in the core prevention and control strategy cover the corresponding prevention and control measures in the initial prevention and control strategy. The covered initial prevention and control strategy can be used as a linkage emergency strategy for disasters in mountainous towns.

[0094] In step S5, a coordinated response is performed to the disaster in the mountain town through the coordinated emergency strategy.

[0095] In this embodiment, performing a coordinated response to disasters in mountain towns through the coordinated emergency strategy is to use the coordinated emergency strategy as a disaster prevention and control strategy for disasters in mountain towns to perform disaster response.

[0096] It can be seen that in this application, the core disaster area in the mountain town is determined according to the initial prevention and control strategy and all the disaster linkage quantities, and then the linkage emergency strategy of the disaster in the mountain town is determined by the characteristic differences between the core disaster area and the characteristics of each disaster intensity, and the disaster in the mountain town is linked to the emergency strategy. Respond to the disaster in the mountain town; first, the determination of the disaster intensity characteristics is a quantitative expression of the degree of disaster impact in the mountain town, which helps to accurately assess the specific disaster risks faced by each area. By determining the disaster intensity characteristics, different prevention and control strategies can be tailored for each area, so that the response measures can be more targeted, which helps to avoid waste of resources or excessive prevention and control in the prevention and control process, and ensure the scientificity and efficiency of disaster response; then, the determination of the disaster linkage quantity helps to reveal the interaction and impact between disasters, especially in a complex environment such as a mountain town, where multiple disasters may interact and produce complex risks. By calculating the disaster linkage quantity, it is possible to determine which areas of disasters will trigger chain reactions in other areas, and then predict the path and speed of disaster spread. Through the linkage effect analysis, the prevention and control measures can be more systematic, avoiding the possibility that local responses fail to cover other disaster-stricken areas or ignore chain reactions, thereby improving the coordination and efficiency of the overall disaster response.

[0097] In summary, the technical solution adopted in this application can realize the linkage analysis of disaster characteristics and prevention and control strategies, thereby improving the efficiency of disaster response in mountainous towns.

[0098] The present application is described with reference to flowcharts and / or block diagrams of methods, devices (systems) and computer program products according to embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0099] A person skilled in the art can understand that all or part of the steps in the various methods of the above embodiments can be completed by instructing related hardware through a program, and the program can be stored in a computer-readable storage medium, and the storage medium includes a read-only memory (ROM), a random access memory (RAM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), a one-time programmable read-only memory (OTPROM), an electronically erasable rewritable read-only memory (EEPROM), a compact disc (CD-ROM) or other optical disc storage, magnetic disk storage, magnetic tape storage, or any other computer-readable medium that can be used to carry or store data.

[0100] It should also be noted that the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, commodity or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, commodity or device. In the absence of more restrictions, the elements defined by the sentence "comprises a ..." do not exclude the existence of other identical elements in the process, method, commodity or device including the elements.

Claims

1. A mountain town disaster prevention and control data analysis method based on an urban information model, characterized in that: The data analysis method comprises the following steps: Obtain disaster prevention and control data in mountain towns within a specified time period; Based on the disaster zoning mechanism in the urban information model, the mountainous town is divided into a plurality of prevention and control areas, and then the disaster intensity characteristics of each prevention and control area are extracted from the disaster prevention and control data; According to the characteristics of each disaster intensity, the mutual information of each prevention and control area is correlated to obtain the disaster linkage relationship in the mountain town, and then the disaster linkage amount of each prevention and control area in the mountain town is determined according to the disaster linkage relationship and the time-frequency characteristics of the disaster in the mountain town; Obtaining the initial prevention and control strategy of the mountain town at the current moment, determining the core disaster area in the mountain town according to the initial prevention and control strategy and all disaster linkage quantities, and then determining the linkage emergency strategy of disasters in the mountain town through the characteristic differences between the core disaster area and the characteristics of each disaster intensity; The linkage emergency strategy is used to carry out linkage response to disasters in mountain towns.

2. A mountain town disaster prevention and control data analysis method based on an urban information model as claimed in claim 1, characterized in that: Based on the disaster zoning mechanism in the urban information model, mountain towns are divided into multiple prevention and control areas, including: Obtain geological structure information and historical disaster distribution information in mountain towns; Clustering the geological regions in the mountain town based on the geological structure information to obtain a plurality of geological region clusters; Extracting intra-cluster disaster characteristics of each geological region cluster from the historical disaster distribution information; Based on the disaster zoning mechanism in the urban information model and the characteristics of all intra-cluster disasters, the geological regions in mountainous towns are divided twice to obtain multiple prevention and control areas.

3. A mountain town disaster prevention and control data analysis method based on an urban information model as claimed in claim 1, characterized in that: Extracting the disaster intensity characteristics of each prevention and control area from the disaster prevention and control data specifically includes: For each prevention and control area, extracting the disaster prevention and control record of the prevention and control area from the disaster prevention and control data; Determine the prevention and control priority of the prevention and control area based on the disaster prevention and control records; Obtain the characteristics of all disasters within the cluster in the prevention and control area; The disaster intensity characteristics of the prevention and control area are determined by the prevention and control priority and all the disaster characteristics within the cluster, and then the disaster intensity characteristics of each prevention and control area are obtained.

4. A mountain town disaster prevention and control data analysis method based on an urban information model as claimed in claim 1, characterized in that: Based on the characteristics of each disaster intensity, the mutual information of each prevention and control area is correlated, and the disaster involvement relationship in mountainous towns is obtained, including: For each prevention and control area, obtain the prevention and control adjacent area of ​​the prevention and control area, and then determine the intensity of all adjacent disasters corresponding to the prevention and control adjacent area; Based on the mutual information mechanism, the disaster intensity of each adjacent disaster is associated with the disaster intensity characteristics of the prevention and control area to obtain the disaster involvement value of the prevention and control area, and then the disaster involvement value of each prevention and control area is obtained; The disaster involvement relationships in mountain towns are determined based on all disaster involvement values.

5. The method for analyzing mountain town disaster prevention data based on urban information model as claimed in claim 1, characterized in that: The disaster linkage amount of each prevention and control area in the mountainous town is determined according to the disaster involvement relationship and the time-frequency characteristics of the disaster in the mountainous town, which specifically includes: Obtain the time-frequency characteristics of disasters in mountain towns; For each prevention and control area in the mountain town, the disaster involvement value of the prevention and control area is obtained from the disaster involvement relationship; The disaster linkage amount of the prevention and control areas is determined according to the time-frequency characteristics of the disaster and the disaster involvement value, and then the disaster linkage amount of each prevention and control area in the mountain town is obtained.

6. A mountain town disaster prevention and control data analysis method based on an urban information model as claimed in claim 1, characterized in that: According to the initial prevention and control strategy and all disaster linkage quantities, the core disaster areas in mountain towns are determined to include: Obtain historical records of disaster prevention and control in mountain towns; Determining the core linkage threshold of disasters in mountain towns based on the historical disaster prevention and control records and the initial prevention and control strategy; The core disaster areas in the mountainous towns are screened out from the mountainous towns based on the core linkage threshold and all disaster linkage quantities.

7. A mountain town disaster prevention and control data analysis method based on an urban information model as claimed in claim 1, characterized in that: The linkage emergency response strategy for disasters in mountainous towns is determined by the characteristic differences of the core disaster area and the intensity characteristics of each disaster, including: Obtain all prevention and control areas included in the core disaster area, and then determine the characteristic differences of the disaster intensity characteristics corresponding to each prevention and control area; Generate the core prevention and control strategy of the core disaster area based on all the characteristic differences; The core prevention and control strategy and the initial prevention and control strategy are combined to obtain a linkage emergency strategy for disasters in mountainous towns.

8. The method for analyzing mountain town disaster prevention data based on an urban information model as claimed in claim 1, characterized in that: Carrying out a coordinated response to disasters in mountain towns through the coordinated emergency strategy is to use the coordinated emergency strategy as a disaster prevention and control strategy for mountain towns to respond to disasters.

9. The method for analyzing mountain town disaster prevention data based on urban information model as claimed in claim 1, characterized in that: The urban information model is a digital platform that integrates various data of mountain towns.

10. The method for analyzing mountain town disaster prevention data based on urban information model according to claim 1, characterized in that: Obtain disaster prevention and control data in mountainous towns within a specified time period from the urban information model.

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