Region partitioning scheme evaluation method and device, equipment and storage medium

Abstract

The invention discloses a region partitioning scheme evaluation method and device, equipment and a storage medium, and belongs to the technical field of computers. The method comprises the steps of simulating a propagation path of an event in a region by determining propagation reference information of the event on the basis of the event occurring in the region aiming at a partitioning scheme of the region, and further, combining interaction data of an object related to the event in the region, and determining the probability of occurrence of an event in each sub-region of the region under the partitioning scheme so as to reflect the risk coverage condition of each sub-region and further obtain an evaluation result of the partitioning scheme. In the process, dynamic indexes such as propagation reference information and interaction data are introduced, and the property that the event has transmissibility and the interaction condition of objects in the region are comprehensively considered, so that the accuracy of the evaluation result can be effectively improved, and the risk management effect for the event is improved.

Description

Technical Field

[0001] The present application relates to the field of computer technology, and in particular to an evaluation method, device, equipment and storage medium for a regional zoning scheme. Background Art

[0002] In modern urban area management, urban zoning has become a very important means. By rationally dividing the city, we can better realize the rational allocation of resources and improve the overall efficiency of the city. At the same time, urban zoning can also help managers better understand the needs of different communities and regions when emergency response events occur in the city, so as to better formulate corresponding risk management strategies. Therefore, it is particularly important to evaluate the zoning scheme of the designated area to measure the rationality of the regional zoning.

[0003] In the related art, when evaluating the zoning scheme of a designated area, static indicators are often used for evaluation. For example, taking the designated area as a city, when an emergency response incident occurs in the city, the zoning scheme is evaluated based on the resource allocation related to the incident in each sub-area indicated by the existing city zoning scheme, so as to adjust the zoning scheme according to the evaluation results, and / or formulate a risk management strategy for the incident.

[0004] However, emergency response events usually have a certain degree of contagion, and the above method only considers static indicators when evaluating the zoning scheme, resulting in low accuracy of the evaluation results, which in turn affects the risk management effect of emergency response events. Summary of the invention

[0005] The embodiment of the present application provides a method, device, equipment and storage medium for evaluating a regional zoning scheme, which can effectively improve the accuracy of the zoning scheme evaluation results, thereby improving the risk management effect for events. The technical solution is as follows:

[0006] In a first aspect, a method for evaluating a regional zoning scheme is provided, the method comprising:

[0007] Based on an event occurring in a region, determining propagation reference information of the event, the propagation reference information indicating a simulated path of propagation of the event in the region;

[0008] Determine risk reference information of the partition scheme based on the propagation reference information, the partition scheme of the area, and the interaction data of the area, wherein the partition scheme indicates multiple sub-areas of the area, the interaction data indicates the interaction between objects related to the event at different locations of the area, and the risk reference information indicates the probability of the event occurring in each of the sub-areas when the event propagates according to the propagation reference information;

[0009] Based on the partition scheme and the risk reference information, an evaluation result of the partition scheme is determined.

[0010] Through the above method, for the zoning scheme of the region, based on the events that occurred in the region, the propagation path of the event in the region is simulated by determining the propagation reference information of the event, and further, combined with the interaction data of the objects related to the event in the region, the probability of the event occurring in each sub-region of the region under this zoning scheme is determined, so as to reflect the risk coverage of each sub-region, and then obtain the evaluation results of the zoning scheme. In this process, due to the introduction of dynamic indicators such as propagation reference information and interaction data, the propagation nature of the event and the interaction of objects in the region are comprehensively considered, so that the accuracy of the evaluation results can be effectively improved, thereby improving the risk management effect for the event.

[0011] In some embodiments, determining the evaluation result of the partition scheme based on the partition scheme and the risk reference information includes:

[0012] Determine, based on the partition scheme and the interaction data, governance reference information of the partition scheme, the governance reference information indicating a strategy for risk governance within the region based on the partition scheme when the event is propagated according to the propagation reference information;

[0013] Based on the risk reference information and the governance reference information, an evaluation result of the partitioning scheme is determined.

[0014] Through the above method, corresponding governance reference information is provided for events occurring in the region, which can assist relevant personnel in formulating strategies for risk governance in the region and improve the efficiency of human-computer interaction.

[0015] In some embodiments, the method further includes: displaying the governance reference information on an evaluation result display interface.

[0016] In some embodiments, determining the governance reference information of the partition scheme based on the partition scheme and the interaction data includes:

[0017] Determine, based on a target sub-region where the event occurs in a plurality of sub-regions of the region and the interaction data, a regional interaction strength between the target sub-region and other sub-regions of the plurality of sub-regions, wherein the regional interaction strength indicates a flow rate of the object interacting between different sub-regions;

[0018] The governance reference information is determined based on the regional interaction intensity between the target sub-region and other sub-regions in the multiple sub-regions.

[0019] In some embodiments, determining the regional interaction strength between the target sub-region and other sub-regions in the multiple sub-regions based on the target sub-region where the event occurs in the multiple sub-regions of the region and the interaction data includes:

[0020] Based on the interaction data, determining the grid interaction strength between any two grids corresponding to the region, the grid interaction strength indicating the flow size of the object interacting between different grids, each sub-region of the region corresponds to at least one grid;

[0021] Based on the grid interaction strength between the grid corresponding to each sub-region of the region and any two grids corresponding to the region, the region interaction strength between the target sub-region and other sub-regions of the multiple sub-regions is determined.

[0022] Through the above method, the regional interaction intensity of each sub-region is calculated with the grid as the basic unit. In this way, the interaction intensity on the regular grid can be converted to the irregular partition, thereby improving the accuracy of the regional interaction intensity.

[0023] In some embodiments, the method further includes: based on the propagation reference information, displaying the risk reference information on an assessment result display interface.

[0024] By displaying risk reference information on the assessment result display interface, relevant personnel can clearly understand the probability of the event occurring in each sub-area in the future time period under this zoning scheme, so that relevant personnel can formulate risk management strategies for each sub-area and calculate the cost required for the corresponding strategy.

[0025] In some embodiments, the determining risk reference information of the partition scheme based on the propagation reference information, the partition scheme of the area, and the interaction data of the area includes:

[0026] Determine, based on the propagation reference information, the partition scheme, and the interaction data, a regional risk value for each sub-region of the region in a future time period, the regional risk value indicating a probability of the event occurring in the corresponding sub-region when the event propagates according to the propagation reference information;

[0027] The risk reference information is determined based on the regional risk value of each sub-region of the region.

[0028] In some embodiments, determining the regional risk value of each sub-region of the region in a future time period based on the propagation reference information, the partition scheme, and the interaction data includes:

[0029] Determine, based on the propagation reference information and the interaction data, a grid risk value for each grid corresponding to the area in a future time period, the grid risk value indicating a probability of the event occurring in the corresponding grid when the event propagates according to the propagation reference information;

[0030] Based on the grid risk values ​​of the grids in each sub-region of the region, a regional risk value for each sub-region of the region is determined.

[0031] Through the above method, the regional risk value of each sub-region is calculated based on the grid. In this way, the risk value on the regular grid can be converted to the irregular partition, thereby improving the accuracy of the risk value.

[0032] In some embodiments, the determining the risk reference information based on the regional risk value of each sub-region of the region includes:

[0033] Determining the risk reference information based on the regional risk value of each sub-region and the risk weight of each sub-region;

[0034] Among them, the risk weight indicates at least one of the following: the distribution of objects related to the event in the corresponding sub-area, the interaction of objects related to the event between the corresponding sub-area and other sub-areas indicated by the partition scheme, and the influence of points of interest in the corresponding sub-area on the occurrence of the event.

[0035] By combining risk weights to determine risk reference information, the attribute characteristics of each sub-area are fully considered, which can improve the accuracy of risk reference information.

[0036] In some embodiments, the method further comprises:

[0037] An evaluation result of the partitioning scheme is displayed on an evaluation result display interface, and the evaluation result indicates the effect of risk management based on the partitioning scheme in the region when the event is propagated according to the propagation reference information.

[0038] In some embodiments, the method further comprises:

[0039] The evaluation results of multiple different partitioning schemes for the area are displayed on the evaluation result display interface, and different partitioning schemes indicate multiple different sub-areas obtained by dividing the area in different ways.

[0040] In some embodiments, the method further comprises:

[0041] The evaluation curves of the multiple different partitioning schemes are displayed on the evaluation result display interface, and the evaluation curves are used to evaluate the effect of risk management in the area when the same cost is consumed under different partitioning schemes.

[0042] In some embodiments, the method further comprises:

[0043] generating the evaluation curve based on the cost consumption information and risk coverage information of the multiple different partitioning schemes;

[0044] Among them, the cost consumption information indicates the cost consumed when risk management is performed according to different risk management strategies under different partitioning schemes, and the risk coverage information indicates the risks covered when risk management is performed according to different risk management strategies under different partitioning schemes.

[0045] Through the above method, for multiple different zoning schemes in a specified area, it supports comparison of evaluation results of different zoning schemes, provides technical support for selecting a more reasonable zoning scheme, and improves the efficiency of human-computer interaction.

[0046] In some embodiments, determining the propagation reference information of the event based on the event occurring in the area includes:

[0047] Based on the event type of the event, determining a propagation model matching the event type, the propagation model being used to simulate a propagation path of the event in the area;

[0048] The propagation model is used to simulate the propagation path of the event in the area based on the initial position where the event occurs in the area, so as to obtain the propagation reference information.

[0049] In this way, the diversity of event types is fully taken into consideration, and it is achieved that starting from a general scenario library, the guidance of model retrieval is completed by matching scenarios, so that it is applicable to various types of events, thereby improving the versatility and flexibility of this application.

[0050] In a second aspect, an embodiment of the present application provides an evaluation device for a regional partitioning scheme, the device comprising at least one functional module for executing an evaluation method for a regional partitioning scheme as provided in the aforementioned first aspect or any possible implementation of the first aspect.

[0051] In a third aspect, an embodiment of the present application provides a computing device, which includes a processor and a memory; the memory is used to store at least one piece of program code, and the at least one piece of program code is loaded by the processor and executes an evaluation method for a regional partitioning scheme provided in the first aspect or any possible implementation method of the first aspect.

[0052] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, the computer-readable storage medium is used to store at least one program code, the at least one program code is used to implement the evaluation method of the regional partitioning scheme provided by the aforementioned first aspect or any possible implementation of the first aspect. The storage medium includes but is not limited to a volatile memory, such as a random access memory, a non-volatile memory, such as a flash memory, a hard disk drive (HDD), and a solid state drive (SSD).

[0053] In a fifth aspect, an embodiment of the present application provides a computer program product, which, when executed on a computing device, enables the computing device to implement the evaluation method of the regional partitioning scheme provided in the aforementioned first aspect or any possible implementation of the first aspect. The computer program product may be a software installation package, and when it is necessary to implement the aforementioned evaluation method of the regional partitioning scheme, the computer program product may be downloaded and executed on a computing device. BRIEF DESCRIPTION OF THE DRAWINGS

[0054] Figure 1 It is a schematic diagram of an implementation environment provided by an embodiment of the present application;

[0055] Figure 2 is a schematic diagram of the hardware structure of a computing device provided in an embodiment of the present application;

[0056] Figure 3 is a schematic diagram of the structure of a computing device cluster provided in an embodiment of the present application;

[0057] Figure 4 This is a schematic diagram of a connection method of a computing device cluster provided in an embodiment of the present application;

[0058] Figure 5 It is a flow chart of an evaluation method of a regional zoning scheme provided in an embodiment of the present application;

[0059] Figure 6 It is a schematic diagram of a partitioning scheme provided in an embodiment of the present application;

[0060] Figure 7 is a schematic diagram of determining propagation reference information provided by an embodiment of the present application;

[0061] Figure 8 is a schematic diagram of determining risk reference information provided by an embodiment of the present application;

[0062] Fig. 9 is a schematic diagram of determining governance reference information provided by an embodiment of the present application;

[0063] Fig.10 is a schematic diagram of an evaluation result of determining a partitioning scheme provided in an embodiment of the present application;

[0064] Fig.11 It is a flow chart of another evaluation method of a regional partitioning scheme provided in an embodiment of the present application;

[0065] Fig.12 It is a schematic diagram of an evaluation curve of multiple different partitioning schemes provided in an embodiment of the present application;

[0066] Fig.13 It is a schematic diagram of an evaluation method of a regional zoning scheme provided in an embodiment of the present application;

[0067] Fig.14 It is a schematic diagram of an evaluation method for a city zoning scheme provided in an embodiment of the present application;

[0068] Fig.15 is a schematic diagram of an evaluation result display interface provided in an embodiment of the present application;

[0069] Fig.16 is a schematic diagram of another evaluation result display interface provided in an embodiment of the present application;

[0070] Fig.17 It is a structural schematic diagram of an evaluation device for a regional partitioning scheme provided in an embodiment of the present application. DETAILED DESCRIPTION

[0071] In order to make the purpose, technical solutions and advantages of the present application clearer, the implementation methods of the present application will be further described in detail below in conjunction with the accompanying drawings. It should be noted that the information (including but not limited to user device information, user personal information, etc.), data (including but not limited to data used for analysis, stored data, displayed data, etc.) and signals involved in this application are all authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data need to comply with the relevant laws, regulations and standards of the relevant countries and regions. For example, the events, interaction data and partition schemes involved in this application are all obtained with full authorization.

[0072] For ease of understanding, the key terms and key concepts involved in this application are explained below.

[0073] Traffic autonomous zone (TAZ) is a spatial division method based on the road network (i.e. the road network in the field of transportation), points of interest (POI) and the interaction intensity between various spatial places. Schematically, the spatial places divided based on this method can better correspond to the same type of people, and the flow of people in each place is consistent, so a more reasonable functional zoning can be achieved.

[0074] Atom TAZ is a basic spatial unit for dividing TAZ. In some embodiments, natural physical boundaries are used to implement atomic TAZ, which has the characteristics of being non-repeating in space and having gaps between each other.

[0075] Geographic Information System (GIS) maps refer to maps that display various types of geographic data based on GIS technology. Geographic data refers to data that describes the geographic shape characteristics of a specified area. For example, geographic data includes vector maps, road networks, water bodies, administrative divisions, statutory plans, etc. This application does not limit this.

[0076] Attribute data is used in the embodiments of the present application to describe a location and the scalar attributes it carries. For example, the scalar attribute can be a point of interest (POI), an area of ​​interest (AOI), population heat, flow, channel distribution, age distribution, housing price, etc., which is not limited in the present application.

[0077] In the embodiments of the present application, the interaction data is used to describe the interaction from one location to another location. For example, the interaction data is used to describe the flow of people, vehicles, trajectory, mainstream, drive test, minimization of drive-test (MDT), etc., which is not limited in the present application.

[0078] The following is an introduction to the application scenarios and implementation environment involved in this application.

[0079] The technical solution provided by the present application can be applied to the scenario of evaluating the zoning scheme of a specified area, wherein the zoning scheme indicates multiple sub-areas of the specified area, that is, multiple sub-areas obtained by dividing the specified area according to a specified division method. The present application does not limit the type of the specified area. For example, the specified area can be a city, or any one or more areas in a city, or an area composed of multiple cities, and so on. Schematically, taking the designated area as a city as an example, by reasonably dividing the city, the rational allocation of resources can be better achieved and the overall benefits of the city can be improved. At the same time, by reasonably dividing the city, it can also help managers better understand the needs of different communities and regions when emergency response incidents occur in the city, so as to better formulate corresponding risk management strategies. It can be seen that evaluating the zoning scheme of the specified area is particularly important for measuring the rationality of regional zoning.

[0080] refer to Figure 1 , Figure 1 This is a schematic diagram of an implementation environment provided by the embodiment of the present application. Figure 1 As shown, the implementation environment includes a terminal 101 and a server 102, and the terminal 101 is directly or indirectly connected to the server 102 via a wireless network or a wired network.

[0081] Terminal 101 has a display function and can display the evaluation results for the regional zoning scheme. Terminal 101 is at least one of a smart phone, a game console, a desktop computer, an augmented reality terminal, a tablet computer, an e-book reader and a laptop. Terminal 101 is installed and runs an application that supports the display of evaluation results. The application can be a client or a browser, etc., and the present application is not limited to this. Taking the application as a client as an example, the user can input the zoning scheme of the area, the events occurring in the area, the interactive data of the area and other related information through the client, triggering terminal 101 to evaluate the zoning scheme and display the corresponding evaluation results on the client interface, so that the user can further optimize the zoning scheme according to the evaluation results displayed on the client interface, and / or formulate a strategy for risk management in the area, etc. Schematically, terminal 101 is a terminal used by a user, and a user account is logged in to the application running on terminal 101.

[0082] The server 102 is used to provide background services for the applications running on the terminal 101. The server 102 is an independent physical server, or a server cluster or distributed file system composed of multiple physical servers, or a cloud server that provides basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communications, middleware services, domain name services, security services, content delivery networks (CDNs), and big data and artificial intelligence platforms. For example, the server 102 is a cloud server, which refers to a service based on hardware resources and software resources, providing computing, network and storage capabilities. Through the network "cloud", the huge amount of data is calculated and processed at the remote end for processing and analysis and then returned to the user, which has the characteristics of large-scale, distributed, virtualized, high availability, scalability, on-demand service and security.

[0083] In an embodiment of the present application, terminal 101 can independently execute the evaluation method of the regional partitioning scheme involved in the following method embodiment, or can work in collaboration with server 102. For example, terminal 101 sends the acquired regional partitioning scheme and other related information to server 102, and server 102 evaluates the partitioning scheme to obtain the evaluation result, and feeds the evaluation result back to terminal 101, which displays the evaluation result. This application does not limit this.

[0084] It should be understood that the terminal 101 may refer to one of multiple terminals or a set of multiple terminals; the server 102 may refer to one of multiple servers or a set of multiple servers. The embodiment of the present application does not limit the number and type of each device in the implementation environment.

[0085] In some embodiments, the wireless network or wired network described above uses standard communication technology and / or protocol. The network includes, but is not limited to, any combination of a data center network, a storage area network (SAN), a local area network (LAN), a metropolitan area network (MAN), a wide area network (WAN), a mobile, wired or wireless network, a dedicated network or a virtual private network. In some implementations, the data exchanged through the network is represented by technologies and / or formats including hypertext markup language (HTML), extensible markup language (XML), etc. In addition, conventional encryption technologies such as secure socketslayer (SSL), transport layer security (TLS), virtual private network (VPN), and Internet protocol security (IPsec) can be used to encrypt all or part of the links. In other embodiments, customized and / or dedicated data communication technologies can also be used to replace or supplement the above data communication technologies.

[0086] The hardware structure of the terminal and server in the above implementation environment is introduced below.

[0087] The present application embodiment provides a computing device that can be configured as the above-mentioned terminal or server. Figure 2 , Figure 2 Schematic diagram of the hardware structure of a computing device provided in an embodiment of the present application. Figure 2 As shown, the computing device 200 includes a memory 201, a processor 202, a communication interface 203 and a bus 204. The memory 201, the processor 202 and the communication interface 203 are connected to each other through the bus 204.

[0088] The memory 201 may be a read-only memory (ROM) or other types of static storage devices that can store static information and instructions, a random access memory (RAM) or other types of dynamic storage devices that can store information and instructions, or an electrically erasable programmable read-only memory (EEPROM), a compact disc read-only memory (CD-ROM) or other optical disc storage, an optical disc storage (including a compressed optical disc, a laser disc, an optical disc, a digital versatile disc, a Blu-ray disc, etc.), a magnetic disk storage medium or other magnetic storage device, or any other medium that can be used to carry or store the desired program code in the form of an instruction or data structure and can be accessed by a computer, but is not limited thereto. Schematically, the memory 201 is used to store at least one section of program code, and when the program code stored in the memory 201 is executed by the processor 202, the processor 202 is used to execute the steps performed by the computing device in the following method embodiment.

[0089] The processor 202 may be a network processor (NP), a central processing unit (CPU), an application-specific integrated circuit (ASIC), or an integrated circuit for controlling the execution of the program of the present application. The processor 202 may be a single-CPU processor or a multi-CPU processor. The number of processors 202 may be one or more. The communication interface 203 uses a transceiver module such as a transceiver to implement communication between the computing device 200 and other devices or communication networks. For example, data may be acquired through the communication interface 203.

[0090] The memory 201 and the processor 202 may be separately provided or integrated together.

[0091] Bus 204 may include a path for transmitting information between various components of computing device 200 (eg, memory 201 , processor 202 , communication interface 203 ).

[0092] The present application also provides a computing device cluster, which includes multiple computing devices. The multiple computing devices include a server and a terminal, wherein the server can be a server, such as a central server, an edge server, or a local server in a local data center, and the terminal can be a desktop computer, a laptop computer, or a smart phone. Figure 3 , Figure 3 Schematic diagram of a computing device cluster provided in an embodiment of the present application. Figure 3 As shown, the computing device cluster includes multiple computing devices 200. The same instructions for executing the evaluation method of the regional partitioning scheme may be stored in the memory 201 of the multiple computing devices 200 in the computing device cluster. In some embodiments, the memory 201 of the multiple computing devices 200 in the computing device cluster may also respectively store partial instructions for executing the evaluation method of the regional partitioning scheme. In other words, the combination of the multiple computing devices 200 is used to jointly execute the instructions of the evaluation method of the regional partitioning scheme.

[0093] In some embodiments, multiple computing devices 200 in the computing device cluster may be connected via a network, which may be a wide area network or a local area network. Figure 4 Schematic diagram of a connection method of a computing device cluster provided in an embodiment of the present application. Figure 4 As shown, two computing devices 200 are connected via a network. Specifically, the network is connected via the communication interface 203 in each computing device 200. It should be understood that Figure 4 The functionality of the computing device 200 shown in FIG. 2 may also be performed by multiple computing devices 200 .

[0094] The following is an introduction to the evaluation method of the regional zoning scheme provided in this application.

[0095] In an embodiment of the present application, a method for evaluating a regional partitioning scheme is provided:

[0096] On the one hand, for any zoning scheme of a specified area, based on a specified event occurring in the area, the propagation path of the event in the area is simulated. Based on this, combined with the interaction data of the area (such as human activity data in the area), the probability of the event occurring in each sub-area indicated by the zoning scheme is predicted, that is, the risk coverage of each sub-area is predicted, and then the evaluation result of the zoning scheme is obtained, which improves the accuracy of the evaluation result;

[0097] On the other hand, for multiple different zoning schemes in a specified area, it supports comparison of evaluation results of different zoning schemes, provides technical support for selecting a more reasonable zoning scheme, and improves human-computer interaction efficiency and user experience.

[0098] Please refer to the following Figure 5 , the method provided in this application for evaluating any partitioning scheme is introduced.

[0099] Figure 5 This is a flow chart of an evaluation method for a regional partitioning scheme provided in an embodiment of the present application. Figure 5 As shown, the method is described by taking the method executed by a computing device as an example, and the computing device can be configured as the above Figure 1 The terminal 101 or the server 102 in the illustrated implementation environment is not limited thereto. Schematically, the method includes the following steps 501 to 505.

[0100] 501. A computing device obtains event information of an event occurring in an area, a partition scheme of the area, and interaction data of the area, wherein the partition scheme indicates multiple sub-areas of the area, and the interaction data indicates interaction conditions between objects related to the event at different locations in the area.

[0101] In the embodiments of the present application, the region can be a city, any one or more regions in a city (such as a community, an administrative district, a business district, etc.), a region composed of multiple cities, etc., and the present application does not limit the type of region. An event occurring in a region refers to an event with a certain degree of transmission. After such an event occurs in a region, it will usually be transmitted along a certain transmission path. For example, the event is an infectious disease, a flood disaster, a traffic event simulation (such as a traffic jam), etc. The present application does not limit the type of event. Schematically, the event information of the event includes the initial location of the event (such as the geographic coordinates of the point where the event occurred), the event type, the event risk level, etc., and the present application does not limit this.

[0102] The partitioning scheme of a region indicates multiple sub-regions of the region, that is, multiple sub-regions obtained by dividing the specified region according to a specified partitioning method. In some embodiments, the region is divided by a partitioning method based on a traffic autonomous zone TAZ to obtain the partitioning scheme. It should be understood that the present application does not limit the partitioning method adopted by the partitioning scheme. For example, the partitioning can be based on the population distribution of the region, the administrative function distribution of the region, and so on. Schematically, refer to Figure 6 , Figure 6 is a schematic diagram of a partitioning scheme provided in an embodiment of the present application, such as Figure 6 As shown in the figure, for a specified area, different partitioning methods are used to divide it, and different partitioning schemes are obtained, among which, partitioning scheme 1 is as follows Figure 6 As shown in Figure (a), it includes 6 sub-areas. Partition scheme 2 is as follows Figure 6 As shown in Figure (b), it includes 20 sub-areas. It should be noted that Figure 6This is only an example provided for the present application and does not constitute a limitation of the present application.

[0103] In some embodiments, the partitioning scheme includes attribute data for each sub-region, wherein the attribute data is used to describe a location in the corresponding sub-region and the scalar attributes it carries. For example, the scalar attributes may be points of interest (POI), areas of interest (AOI), population heat, traffic flow, channel distribution, age distribution, housing prices, etc., which are not limited in this application.

[0104] The interaction data of a region indicates the interaction between objects related to the event at different locations in the region. Schematically, the interaction data is used to describe pedestrian flow, vehicle flow, trajectory, mainstream, road test, minimized road test (MDT), etc., and the present application does not limit this. For example, if the event is an infectious disease, the interaction data may be the movement trajectory of the infectious object of the infectious disease between different locations in the region. For another example, if the event is a traffic event simulation, the interaction data may be the movement trajectory of vehicles between different locations in the region, etc., and the present application is not limited to this. In some embodiments, the interaction data refers to the interaction data generated by the region within a preset time period, wherein the preset time period can be set according to actual needs, for example, the preset time period is the interaction data within 1 hour before the event occurs, and for another example, the preset time period is the interaction data from 1 hour before the event to 1 hour after the event occurs, etc. This is only for illustration and does not constitute a limitation on the present application.

[0105] 502. The computing device determines propagation reference information of the event based on the event occurring in the area, where the propagation reference information indicates a simulated path of propagation of the event in the area.

[0106] In an embodiment of the present application, the computing device calls a propagation model that matches the event based on the event information of the event to determine the propagation reference information of the event, wherein the propagation model is a dynamic propagation model that is used to simulate the propagation path of the event in the region. Schematically, the computing device determines a propagation model that matches the event type based on the event type of the event; through the propagation model, based on the initial location of the event in the region, the propagation path of the event in the region is simulated to obtain propagation reference information. In addition, in the process of determining the propagation reference information through the propagation model, the computing device can obtain corresponding data from the interaction data of the region according to the initialization input parameters of the propagation model, which is not limited in the present application. For example, refer to Figure 7 , Figure 7 Schematic diagram of determining propagation reference information provided by an embodiment of the present application. Figure 7 As shown above Figure 6Taking the middle partition scheme 1 as an example, if the event is an infectious disease, the computing device determines the propagation reference information of the event based on the initial position of the event in the area and the initialization input parameters of the propagation model, such as the event level, the spatiotemporal co-occurrence points (that is, the points where the infectious objects appear synchronously) obtained based on the movement trajectory of the infectious objects between different sub-areas, etc.

[0107] In some embodiments, the computing device is associated with a propagation model library, which is used to store propagation models of different event types. The computing device can obtain a propagation model that matches the event from the model database based on the event information of the event, and call the propagation model to obtain corresponding propagation reference information based on the event information and the initialization parameters related to the propagation model in the interaction data. In this way, the diversity of event types is fully considered, and it is achieved that starting from a general scenario library, the guidance of model retrieval is completed by matching scenarios, so that it is applicable to various types of events, which improves the versatility and flexibility of this application.

[0108] In addition, the present application does not limit the specific type of propagation model, and it can be configured according to actual needs. For example, if the event is an infectious disease, the propagation model that matches it can be an agent-based model (ABM), a susceptible-exposed-infected-removed model (SEIR), etc. For another example, if the event is a traffic event simulation, the propagation model that matches it can be a propagation model based on cellular automata (CA), a support vector machine (SVM), etc.

[0109] It should be understood that since events have a certain degree of contagiousness, by determining the propagation reference information of the event, it is possible to simulate the path of the event's propagation in the region, and then predict the probability of the event occurring in each sub-region of the region, thereby reflecting the risk coverage of each sub-region and providing technical support for the subsequent evaluation of the zoning plan.

[0110] 503. The computing device determines risk reference information of the partition scheme based on the propagation reference information, the partition scheme of the region, and the interaction data of the region, where the risk reference information indicates the probability of the event occurring in each sub-region when the event is propagated according to the propagation reference information.

[0111] In an embodiment of the present application, after obtaining the propagation reference information, the computing device can simulate the path of the event propagating in the region according to the propagation reference information in combination with the interaction data of the region, and then predict the probability of the event occurring in each sub-region in the future time period, and obtain the risk reference information of the partition scheme. Among them, the risk reference information can be expressed in the form of numerical values ​​(such as scores, percentages, etc.) or text, and this application does not limit this. The future time period is a preset time period and can be set according to actual needs. For example, the future time period is within the next 1 hour, and so on.

[0112] The following takes the case where the risk reference information is represented by numerical values ​​as an example to introduce the process of determining the risk reference information by a computing device. Schematically, this process includes the following steps:

[0113] Step A1: Based on the propagation reference information, the partitioning scheme and the interaction data, determine the regional risk value of each sub-region of the region in the future time period, and the regional risk value indicates the probability of an event occurring in the corresponding sub-region when the event is propagated according to the propagation reference information.

[0114] Among them, the computing device calculates the regional risk value of each sub-area based on the grid. It should be understood that the area can be divided based on a regular grid as the basic unit. For any sub-area of ​​the area, the sub-area corresponds to at least one grid. In this way, the risk value on the regular grid can be converted to an irregular partition to improve the accuracy of the risk value. In addition, the present application does not limit the specific calculation method of the risk value, and can be configured according to the event type. For example, taking the event as an infectious disease as an example, the risk value can be calculated by the number of contacts between the initial infected person and the potential infected person. For another example, taking the event as a traffic event simulation as an example, the risk value can be calculated by the distance between the initial traffic jam point and the vehicle traveling on the road. For another example, taking the event as a flood disaster as an example, the risk value can be calculated by the water level and water flow velocity of the initial flood point, the water level of other points, and so on.

[0115] Schematically, the computing device determines the grid risk value of each grid corresponding to the region in the future time period based on the propagation reference information and the interaction data, and the grid risk value indicates the probability of an event occurring in the corresponding grid when the event propagates according to the propagation reference information; based on the grid risk value of the grid in each sub-region of the region, the regional risk value of each sub-region is determined. For example, for any sub-region, the computing device adds the grid risk values ​​of the grids in the sub-region to obtain the regional risk value of the sub-region. Of course, the computing device can also use other methods to calculate the regional risk value, for example, after adding the grid risk values ​​of the grids in the sub-region, multiplying by a preset weight, and so on, and the present application is not limited thereto.

[0116] For example, refer to Figure 8 , Figure 8 Schematic diagram of determining risk reference information provided by an embodiment of the present application. Figure 8 As shown, continue with Figure 6 Taking the partition scheme 1 shown as an example, the computing device determines the grid risk value of each grid in the future time period based on the propagation reference information and the interaction data (that is, referring to the spatiotemporal co-occurrence relationship of the object), and adds the grid risk values ​​of the grids in each sub-region to obtain the regional risk value of each sub-region. It should be noted that the figure only illustrates the grid risk values ​​of some grids, which does not constitute a limitation on the present application. The computing device can determine the grid risk value of each grid in the region, and can also determine the grid risk values ​​of some grids according to actual needs. In addition, the form of the regional risk value in the figure is only for example, and the regional risk value can also be expressed in the form of percentage, text, etc., and the present application is not limited to this.

[0117] Step A2: Determine risk reference information based on the regional risk value of each sub-region of the region.

[0118] In some embodiments, the computing device uses the regional risk value of each sub-region as risk reference information. For example, the risk reference information lists the regional risk value of each sub-region in the form of a list. In other embodiments, the computing device determines the risk reference information based on the regional risk value of each sub-region and the risk weight of each sub-region. That is, due to the different attribute data of different sub-regions, the probability of a certain type of event occurring in different sub-regions is different. For example, taking the event as an infectious disease, the probability of the event occurring in a sub-region with a larger population density is higher than that in a sub-region with a smaller population density. For another example, taking the event as a traffic event simulation, the probability of a traffic jam occurring in the sub-region where the scenic spot is located is higher than that in other sub-regions, and so on. Therefore, a corresponding risk weight is configured for each sub-region, and the regional risk value of each sub-region is multiplied by the corresponding risk weight to obtain the final regional risk value.

[0119] Illustratively, the risk weight indicates at least one of the following: the distribution of objects related to the event in the corresponding sub-area, for example, reflected by the population density; the interaction of objects related to the event between the corresponding sub-area and other sub-areas indicated by the zoning scheme, for example, reflected by the interaction traffic between different sub-areas; the influence of points of interest in the corresponding sub-area on the occurrence of events, for example, if the sub-area includes a shopping mall, the possibility of an infectious disease occurring in this sub-area will increase; for another example, if the sub-area includes a scenic spot, the possibility of a traffic jam occurring in this sub-area will increase.

[0120] The risk weight is illustrated below with reference to formula (1). It should be understood that the risk weight shown in the following formula (1) does not constitute a limitation on the present application. In actual application, the corresponding risk weight can be configured according to the nature of the event itself.

[0121]

[0122] As shown in formula (1), Risk IAZ0 represents the risk weight of sub-area IAZ0; Indicates the distribution of objects in the sub-area IAZ0, or the spatial distribution concentration of objects, which can reflect the aggregation of objects in the sub-area. Among them, w1 is a preset parameter that can be set according to actual needs. Indicates the population density of any area of ​​interest AOI in the sub-area IAZ0, num AOI (IAZ) represents the total amount of area of ​​interest AOI in the zone; It indicates the object interaction intensity between sub-area IAZ0 and other sub-areas IAZ1, or the spatial interaction level between sub-areas, which can reflect the mobility between sub-areas; It indicates the influence of the points of interest (POI) in the sub-area IAZ0 on the event, or the additional influence of other geographic objects in the sub-area on objects related to the event, which can reflect the geographic semantics of the sub-area.

[0123] By combining risk weights to determine risk reference information, the attribute characteristics of each sub-area are fully considered, which can improve the accuracy of risk reference information.

[0124] After the above step 503, based on the propagation reference information, the partition scheme and the interaction data, the risk reference information of the partition scheme is determined, which provides technical support for determining the evaluation result of the partition scheme.

[0125] In some embodiments, the computing device uses the risk reference information as the evaluation result of the partition scheme. For example, taking the computing device configured as a terminal as an example, the computing device displays the partition scheme on the evaluation result display interface, and displays the risk reference information based on the propagation reference information. For another example, the computing device displays the regional risk value of each sub-area on the evaluation result display interface based on the simulation path indicated by the propagation reference information. In this way, relevant personnel can clearly know the probability of the event occurring in each sub-area in the future time period under this partition scheme, which is convenient for relevant personnel to formulate risk management strategies for each sub-area and calculate the cost required for the corresponding strategy. Of course, if the computing device is configured as a server, the computing device sends the evaluation results to the terminal, which is displayed by the terminal, and no further details are given.

[0126] In other embodiments, the computing device further determines the governance reference information of the partition scheme based on the partition scheme and the interaction data, and determines the evaluation result of the partition scheme in combination with the risk reference information and the governance reference information. This process is introduced below through steps 504 and 505.

[0127] 504. The computing device determines governance reference information of the partition scheme based on the partition scheme and the interaction data, where the governance reference information indicates a strategy for risk governance within the region based on the partition scheme when the event is propagated according to the propagation reference information.

[0128] In the embodiment of the present application, since the interaction data can reflect the interaction between objects related to the event in different locations in the region, the computing device can determine the governance reference information based on the regional interaction strength between different sub-regions. The regional interaction strength indicates the flow rate of objects interacting between different sub-regions. For example, if the regional interaction strength between the target sub-region where the event occurred and a certain sub-region is high, indicating that the flow rate of objects interacting between the two sub-regions is large, then the two sub-regions can be governed first. In this way, corresponding governance reference information is provided for events occurring in the region, which can assist relevant personnel in formulating strategies for risk governance in the region and improve the efficiency of human-computer interaction.

[0129] Schematically, the process of determining the governance reference information by the computing device includes the following steps:

[0130] Step B1: Based on the target sub-region where the event occurs and the interaction data in the multiple sub-regions of the region, determine the regional interaction strength between the target sub-region and other sub-regions in the multiple sub-regions, where the regional interaction strength indicates the flow size of the objects interacting between different sub-regions.

[0131] Among them, the computing device calculates the regional interaction intensity of each sub-area based on the grid as the basic unit. It should be understood that the area can be divided based on a regular grid as the basic unit. For any sub-area of ​​the area, the sub-area corresponds to at least one grid. In this way, the interaction intensity on the regular grid can be converted to an irregular partition to improve the accuracy of the regional interaction intensity. In addition, the present application does not limit the specific calculation method of the interaction intensity, and can be configured according to the event type. For example, taking the event as an infectious disease as an example, the interaction intensity can be calculated by the flow of people between the target sub-area and other sub-areas. For another example, taking the event as a traffic event simulation as an example, the interaction intensity can be calculated by the flow of vehicles between the target sub-area and other sub-areas. For another example, taking the event as a flood disaster as an example, the interaction intensity can be calculated by the water level difference between the target sub-area and other sub-areas, and so on.

[0132] Schematically, the computing device determines the grid interaction strength between any two grids corresponding to the region based on the interaction data, and the grid interaction strength indicates the flow size of the object interacting between different grids; based on the grids corresponding to each sub-region of the region and the grid interaction strength between any two grids corresponding to the region, the regional interaction strength between the target sub-region and other sub-regions of the multiple sub-regions is determined. For example, for the target sub-region, the computing device adds the grid interaction strength between each grid in the target sub-region and each grid in the other sub-regions to obtain the regional interaction strength between the target sub-region and the other sub-regions. Of course, the computing device can also calculate the regional interaction strength in other ways, for example, after obtaining the regional interaction strength between the target sub-region and the other sub-regions, it multiplies it by a preset weight, etc., and the present application is not limited thereto. In some embodiments, the computing device stores the grid interaction strength between any two grids in the form of a matrix, stores the regional interaction strength between any two sub-regions in the form of a matrix, and so on, and the present application is not limited thereto.

[0133] Step B2: determining the governance reference information of the zoning scheme based on the regional interaction intensity between the target sub-region and other sub-regions in the multiple sub-regions.

[0134] In some embodiments, the computing device uses the regional interaction strength between the target sub-region and other sub-regions as governance reference information. For example, the governance reference information lists the regional interaction strength between sub-regions in the form of a matrix, so that relevant personnel can be assisted in formulating risk governance strategies. In other embodiments, the computing device sorts the regional interaction strength between the target sub-region and other sub-regions, and determines the governance reference information in the order of regional interaction strength from large to small. For example, if the regional interaction strength between the target sub-region and other sub-regions A, B, and C is 100, 80, and 150, respectively, the governance reference information is to perform risk governance in the order of the target sub-region, sub-region C, sub-region A, and sub-region B. Of course, the governance reference information can also be determined in other ways, which is only an example here and does not constitute a limitation of the present application.

[0135] For example, refer to Fig. 9 , Fig. 9 Schematic diagram of determining governance reference information provided by an embodiment of the present application. Fig. 9 As shown, continue with Figure 6Taking the partition scheme 1 shown in the figure as an example, the computing device determines the grid interaction strength between any two grids based on the partition scheme and the interaction data, and the computing device adds the grid interaction strength between each grid in the target sub-region and each grid in the other sub-regions to obtain the regional interaction strength between the target sub-region and the other sub-regions. After sorting the regional interaction strengths, the governance reference information is determined in order from large to small, that is, the risk governance order of the six sub-regions shown in the figure is determined, and the strategy for risk governance in the region based on the partition scheme is obtained.

[0136] After the above step 504, based on the partition scheme and the interaction data, the governance reference information of the partition scheme is determined, which provides further technical support for determining the evaluation result of the partition scheme.

[0137] 505. The computing device determines an evaluation result of the partition scheme based on the risk reference information and the governance reference information of the partition scheme.

[0138] In an embodiment of the present application, the computing device uses the risk reference information and governance reference information of the partition scheme as an evaluation result of the partition scheme, and the evaluation result indicates the effect of risk governance in the region based on the partition scheme when the event is propagated according to the propagation reference information. In other embodiments, the computing device further determines the cost consumption information and risk coverage information of the partition scheme based on the risk reference information and governance reference information of the partition scheme, and uses it as the evaluation result of the partition scheme. Among them, the cost consumption information indicates the cost consumed when risk governance is performed according to different risk governance strategies under the partition scheme, and the risk coverage information indicates the risks covered when risk governance is performed according to different risk governance strategies under the partition scheme. Refer to the following Fig.10 An example is given to illustrate this process.

[0139] Fig.10 Schematic diagram of an evaluation result of determining a partitioning scheme provided by an embodiment of the present application. Fig.10 As shown, continue with Figure 6 Taking the partition scheme 1 shown in the figure as an example, the governance reference information determined by the computing device is as follows Fig.10As shown, when the event is propagated according to the propagation reference information, it will propagate to the 6 sub-regions shown in the figure. According to the regional interaction intensity between the target sub-region "sub-region 1" where the event occurs and other sub-regions, the governance order of the 6 sub-regions is obtained. That is, sub-region (1) can be governed first, then sub-region (2), and so on. The cost consumption information of the zoning scheme is reflected by the coverage area during risk governance. It should be understood that the more regions are governed and the wider the coverage area, the higher the cost of risk governance. The risk coverage information of the zoning scheme is reflected by the coverage risk during risk governance. It should be understood that the more regions are governed, the more risks can be covered. For example, the area of ​​sub-region (1) is 100, the regional risk value is 90, the area of ​​sub-region (2) is 200, and the regional risk value is 80. Then, if sub-region (1) and sub-region (2) are governed in turn, the corresponding coverage area is 300 and the coverage risk is 170. In this way, the evaluation results of the zoning scheme are reflected through the cost consumption information and risk coverage information of the zoning scheme, so that relevant personnel can intuitively know the costs consumed and the risks covered by adopting different risk governance strategies, that is, intuitively know the effect of risk governance in the region based on the zoning scheme when the event is propagated according to the propagation reference information. In addition, the difference between the cost consumption information and the risk coverage information can also reflect the relative governance effect when each sub-region that needs to be governed is added.

[0140] In some embodiments, taking the configuration of the computing device as a terminal as an example, the computing device displays the evaluation results of the partition scheme on the evaluation result display interface, that is, displays the cost consumption information and risk coverage information of the partition scheme. For example, it is displayed in the form of a list, or displayed in the form of a curve, etc., and the present application is not limited to this. The computing device can also display at least one of the propagation reference information, risk reference information, and governance reference information of the partition scheme on the evaluation result display interface. It should be understood that the present application does not limit the content displayed on the evaluation result display interface and its display form, and any information involved in the above steps 501 to 505 can be displayed on the evaluation result display interface. In addition, if the computing device is configured as a server, the computing device sends the relevant information to the terminal, which is displayed by the terminal, and will not be repeated here.

[0141] In summary, in the evaluation method of the regional partitioning scheme provided in the embodiment of the present application, for the partitioning scheme of the region, based on the events occurring in the region, the propagation reference information of the events is determined to simulate the propagation path of the events in the region, and further, combined with the interaction data of the objects related to the events in the region, the probability of the events occurring in each sub-region of the region under this partitioning scheme is determined, so as to reflect the risk coverage of each sub-region, and then obtain the evaluation results of the partitioning scheme. In this process, due to the introduction of dynamic indicators such as propagation reference information and interaction data, the propagation nature of the events and the interaction of the objects in the region are comprehensively considered, so that the accuracy of the evaluation results can be effectively improved, thereby improving the risk management effect for the events.

[0142] After the above Figures 5 to 10 The illustrated embodiment introduces the evaluation method for any partitioning scheme provided by the present application.

[0143] Reference below Fig.11 , the method provided in this application for evaluating multiple different zoning schemes for a specified area is introduced.

[0144] Fig.11 FIG. 1 is a flow chart of another method for evaluating a regional partitioning scheme provided in an embodiment of the present application. Fig.11 As shown, the method is described by taking the method executed by a computing device as an example, and the computing device is configured as above Figure 1 The terminal 101 or the server 102 in the illustrated implementation environment is not limited thereto. Schematically, the method includes the following steps 1101 to 1103.

[0145] 1101. A computing device obtains a plurality of different partitioning schemes for a region, where different partitioning schemes indicate a plurality of different sub-regions obtained by dividing the region in different partitioning ways.

[0146] The present application does not limit the specific forms of the multiple different partitioning schemes. Figure 6 The partitioning scheme shown is not described in detail here. In some embodiments, the sub-regions indicated by the multiple different partitioning schemes all have objective physical boundaries, so that the rationality of the partitioning scheme can be ensured and the regional management is also easy.

[0147] 1102. The computing device determines evaluation results of multiple different partitioning schemes based on events occurring in the area, multiple different partitioning schemes of the area, and interaction data of the area.

[0148] For any partitioning scheme, the process of determining the evaluation result of the computing device is the same as that described above. Figure 5 The same is true for the embodiment shown, so it will not be described in detail.

[0149] 1103. The computing device displays evaluation results of multiple different partitioning schemes of the area on an evaluation result display interface.

[0150] Here, taking the computing device configured as a terminal as an example, the computing device displays the evaluation results of different partitioning schemes on the evaluation result display interface.

[0151] In some embodiments, the computing device displays evaluation curves of multiple different partitioning schemes on the evaluation result display interface, and the evaluation curves are used to evaluate the effect of risk management in the region when the same cost is consumed under different partitioning schemes. Schematically, the computing device generates an evaluation curve based on the cost consumption information and risk coverage information of multiple different partitioning schemes; wherein the cost consumption information indicates the cost consumed when risk management is performed according to different risk management strategies under different partitioning schemes, and the risk coverage information indicates the risk covered when risk management is performed according to different risk management strategies under different partitioning schemes. It should be understood that the cost consumption information and risk coverage information involved here are the same as those in the aforementioned step 505, so they will not be repeated here. For example, the evaluation curve is an indifference curve, that is, through the curve, it can be intuitively known how much risk reduction can be brought about by consuming the same cost under different partitioning schemes. Schematically, refer to Fig.12 , Fig.12 is a schematic diagram of an evaluation curve of multiple different partitioning schemes provided in an embodiment of the present application. Fig.12 As shown in the figure, the evaluation curve is an indifference curve. The closer the curve is to the lower left corner, the greater the risk reduction (which can be reflected by the amount of risk leakage) when the same cost is consumed, and the better the risk management effect. Fig.12 As shown, the use of partition scheme 2 can reduce the risk leakage at a lower cost, that is, it brings a higher risk reduction. Therefore, the risk management effect of partition scheme 2 is better. In addition, the computing device can also simultaneously display the cost consumption information, risk coverage information and evaluation curves of different partition schemes on the evaluation result display interface, and this application does not limit this.

[0152] Reference below Fig.13 , combined with Figure 5 The method embodiment shown is for Fig.11 The evaluation method of the regional zoning scheme shown is schematically illustrated. Fig.13 Schematic diagram of an evaluation method for a regional zoning scheme provided in an embodiment of the present application. Fig.13As shown in the figure, for an event occurring in a region, according to the event type of the event, a matching propagation model is obtained from the propagation model library, and the propagation reference information of the event is determined based on the initialization input parameters of the propagation model. Then, the risk reference information and governance reference information of the zoning scheme are determined in combination with the interaction data of the region, and then the cost consumption information and risk coverage information of the zoning scheme are calculated, and the evaluation curves of different zoning schemes are generated, so that relevant personnel can choose a more reasonable zoning scheme to achieve risk governance.

[0153] Through the above method, for multiple different partitioning schemes in a specified area, the evaluation results of different partitioning schemes can be compared, providing technical support for selecting a more reasonable partitioning scheme and improving the efficiency of human-computer interaction. In addition, a standardized and automated partitioning scheme evaluation process under specific events is provided, which effectively improves the evaluation efficiency.

[0154] Let's take the region as a city and the event that occurs in the region as an infectious disease as an example. Figures 5 to 13 It should be understood that the governance of infectious diseases is a representative event of urban emergency response. Covering the maximum risk with a lower governance cost can effectively reduce governance pressure and ensure the quality of life of citizens. Fig.14 , Fig.14 Schematic diagram of an evaluation method for a city zoning scheme provided in an embodiment of the present application. Fig.14 As shown, the method includes the following steps:

[0155] Step C1, the computing device obtains original input data, including: multiple different zoning schemes of the city, population interaction data of the city within a preset time period, event information of the event, such as the location of the initial infected person, event type, event level, etc. This process refers to the aforementioned step 501 and will not be repeated here.

[0156] Step C2: The computing device matches the ABM model as a propagation model based on the event type of the event to simulate the propagation path of the infectious disease in the city. It should be understood that the propagation model here is only an example and does not constitute a limitation on the present application.

[0157] Step C3: The computing device uses the individual interaction trajectory as the agent of the ABM model, simulates the transmission path of the infectious disease through the individual spatiotemporal co-occurrence relationship provided by the population interaction data, generates a simulation process of the potential disease transmission risk when the infected person is randomly initialized, and calculates the risk value and interaction intensity corresponding to each grid based on the grid.

[0158] Step C4: The computing device determines risk reference information and governance reference information of the partition scheme based on the simulation process.

[0159] The above steps C2 to C4 refer to the above steps 502 to 504 and are not described in detail.

[0160] Step C5: The computing device calculates the cost consumption information and risk coverage information of each partition scheme based on the risk reference information and the governance reference information.

[0161] Step C6: The computing device calculates a corresponding evaluation curve, ie, an indifference curve, based on the cost consumption information and risk coverage information of each partitioning scheme, and compares the evaluation results of different partitioning schemes for a specified event.

[0162] The above steps C5 and C6 refer to the above steps 505 and 1103 and are not described in detail.

[0163] Schematically, the specific calculation process of the above steps C1 to C5 refers to the following pseudo code:

[0164]

[0165]

[0166] Based on the above calculation process, the disease transmission simulation process based on spatiotemporal co-occurrence and the indifference curves of different partitioning schemes can be obtained for visualization. Fig.15 , Fig.15 is a schematic diagram of an evaluation result display interface provided in an embodiment of the present application. Fig.15 As shown, the evaluation result display interface displays a disease propagation simulation diagram according to the propagation reference information, indifference curves under different zoning schemes, risk reference information, and other reference information (which can be configured according to actual needs and is not limited to this). Fig.16 , Fig.16 is a schematic diagram of another evaluation result display interface provided in an embodiment of the present application. Fig.16 As shown, taking any partitioning scheme as an example, the regional risk value of each sub-region when the reference information is propagated is displayed on the evaluation result display interface. The computing device can respond to various operations performed by the user on the evaluation result display interface and display corresponding content. For example, the user can select a sub-region to view the regional risk value and regional attribute data of the sub-region. It should be understood that the above Fig.15 and 16 This is just an example, and the specific display method and display content of the evaluation result display interface can be configured according to actual needs, and this application is not limited to this.

[0167] Fig.171 is a schematic diagram of a structure of an evaluation device for a regional partitioning scheme provided in an embodiment of the present application. The device can be implemented as part or all of the functions of the aforementioned computing device through software, hardware, or a combination of both. Fig.17 As shown, the device includes a first determination module 1701 , a second determination module 1702 and a third determination module 1703 .

[0168] A first determination module 1701 is used to determine propagation reference information of an event based on an event occurring in a region, where the propagation reference information indicates a simulated path of propagation of the event in the region;

[0169] A second determination module 1702 is used to determine risk reference information of the partition scheme based on the propagation reference information, the partition scheme of the area, and the interaction data of the area, the partition scheme indicating multiple sub-areas of the area, the interaction data indicating the interaction between objects related to the event at different locations in the area, and the risk reference information indicating the probability of the event occurring in each sub-area when the event is propagated according to the propagation reference information;

[0170] The third determination module 1703 is used to determine the evaluation result of the partition scheme based on the partition scheme and the risk reference information.

[0171] In some embodiments, the third determination module 1703 includes:

[0172] A first determination unit is used to determine governance reference information of the partition scheme based on the partition scheme and the interaction data, the governance reference information indicating a strategy for risk governance in the region based on the partition scheme when the event is propagated according to the propagation reference information;

[0173] The second determining unit is used to determine an evaluation result of the partition scheme based on the risk reference information and the governance reference information.

[0174] In some embodiments, the device also includes a display module for displaying governance reference information on the evaluation result display interface.

[0175] In some embodiments, the first determining unit is configured to:

[0176] Based on the target sub-region where events occur in the multiple sub-regions of the region and the interaction data, determine the regional interaction strength between the target sub-region and other sub-regions in the multiple sub-regions, where the regional interaction strength indicates the flow size of the objects interacting between different sub-regions;

[0177] Governance reference information is determined based on the regional interaction intensity between the target sub-region and other sub-regions in the multiple sub-regions.

[0178] In some embodiments, the first determining unit is configured to:

[0179] Based on the interaction data, the grid interaction strength between any two grids corresponding to the region is determined. The grid interaction strength indicates the flow rate of objects interacting between different grids. Each sub-region of the region corresponds to at least one grid.

[0180] Based on the grid interaction strength between the grid corresponding to each sub-region of the region and any two grids corresponding to the region, the regional interaction strength between the target sub-region and other sub-regions in the multiple sub-regions is determined.

[0181] In some embodiments, the device further includes: a display module for displaying risk reference information on an assessment result display interface based on the propagation reference information.

[0182] In some embodiments, the second determining module 1702 includes:

[0183] A third determination unit is used to determine a regional risk value for each sub-region of the region in a future time period based on the propagation reference information, the partition scheme, and the interaction data, the regional risk value indicating the probability of an event occurring in the corresponding sub-region when the event propagates according to the propagation reference information;

[0184] The fourth determining unit is used to determine risk reference information based on the regional risk value of each sub-region of the region.

[0185] In some embodiments, the third determining unit is configured to:

[0186] Based on the propagation reference information and the interaction data, the grid risk value of each grid corresponding to the region in the future time period is determined. The grid risk value indicates the probability of an event occurring in the corresponding grid when the event propagates according to the propagation reference information.

[0187] A regional risk value for each sub-region of the region is determined based on the grid risk values ​​of the grids in each sub-region of the region.

[0188] In some embodiments, the fourth determining unit is configured to:

[0189] Determine risk reference information based on the regional risk value of each sub-region and the risk weight of each sub-region;

[0190] The risk weight indicates at least one of the following: the distribution of objects related to the event in the corresponding sub-area, the interaction of objects related to the event between the corresponding sub-area and other sub-areas indicated by the partitioning scheme, and the influence of points of interest in the corresponding sub-area on the occurrence of the event.

[0191] In some embodiments, the apparatus further comprises:

[0192] The display module is used to display the evaluation results of the partition scheme on the evaluation result display interface. The evaluation results indicate the effect of risk management in the region based on the partition scheme when the event is propagated according to the propagation reference information.

[0193] In some embodiments, the apparatus further comprises:

[0194] The display module is used to display the evaluation results of multiple different partitioning schemes of the area on the evaluation result display interface, and different partitioning schemes indicate multiple different sub-areas obtained by dividing the area in different ways.

[0195] In some embodiments, the display module is further used to:

[0196] The evaluation result display interface displays evaluation curves of multiple different zoning schemes. The evaluation curves are used to evaluate the effectiveness of risk management within a region when the same cost is consumed under different zoning schemes.

[0197] In some embodiments, the apparatus further comprises a generating module, configured to:

[0198] Generate an assessment curve based on the cost consumption information and risk coverage information of multiple different partitioning schemes;

[0199] Among them, the cost consumption information indicates the cost consumed when risk management is performed according to different risk management strategies under different partitioning schemes, and the risk coverage information indicates the risks covered when risk management is performed according to different risk management strategies under different partitioning schemes.

[0200] In some embodiments, the first determining module 1701 is used to:

[0201] Based on the event type of the event, a propagation model matching the event type is determined, and the propagation model is used to simulate the propagation path of the event in the region;

[0202] Through the propagation model, based on the initial location of the event in the region, the propagation path of the event in the region is simulated to obtain propagation reference information.

[0203] Through the above-mentioned device, for the zoning scheme of the region, based on the events that occurred in the region, the propagation path of the event in the region is simulated by determining the propagation reference information of the event, and further, combined with the interaction data of the objects related to the event in the region, the probability of the event occurring in each sub-region of the region under this zoning scheme is determined, so as to reflect the risk coverage of each sub-region, and then obtain the evaluation result of the zoning scheme. In this process, due to the introduction of dynamic indicators such as propagation reference information and interaction data, the propagation nature of the event and the interaction of objects in the region are comprehensively considered, so that the accuracy of the evaluation results can be effectively improved, thereby improving the risk management effect for the event.

[0204] In addition, in the above device, the first determination module 1701, the second determination module 1702, and the third determination module 1703 can be implemented by software or by hardware. Exemplarily, the implementation of the first determination module 1701 is described below by taking the first determination module 1701 as an example. Similarly, the implementation of other modules can refer to the implementation of the first determination module 1701.

[0205] As an example of a software functional unit, the first determination module 1701 may include code running on a computing instance. Among them, the computing instance may include at least one of a physical host (computing device), a virtual machine, and a container. Further, the above-mentioned computing instance may be one or more. For example, the first determination module 1701 may include code running on multiple hosts / virtual machines / containers. It should be noted that the multiple hosts / virtual machines / containers used to run the code may be distributed in the same region (region) or in different regions. Furthermore, the multiple hosts / virtual machines / containers used to run the code may be distributed in the same availability zone (AZ) or in different AZs, each AZ including a data center or multiple data centers with similar geographical locations. Among them, usually a region may include multiple AZs.

[0206] Similarly, multiple hosts / virtual machines / containers used to run the code can be distributed in the same virtual private cloud (VPC) or in multiple VPCs. Usually, a VPC is set up in a region. For cross-region communication between two VPCs in the same region and between VPCs in different regions, a communication gateway needs to be set up in each VPC to achieve interconnection between VPCs through the communication gateway.

[0207] As an example of a hardware functional unit, the first determination module 1701 may include at least one computing device. Alternatively, the first determination module 1701 may also be a device implemented using an application-specific integrated circuit (ASIC) or a programmable logic device (PLD). The PLD may be a complex programmable logical device (CPLD), a field-programmable gate array (FPGA), a generic array logic (GAL) or any combination thereof.

[0208] The multiple computing devices included in the first determination module 1701 can be distributed in the same region or in different regions. The multiple computing devices included in the first determination module 1701 can be distributed in the same AZ or in different AZs. Similarly, the multiple computing devices included in the first determination module 1701 can be distributed in the same VPC or in multiple VPCs. The multiple computing devices can be any combination of computing devices such as servers, ASICs, PLDs, CPLDs, FPGAs, and GALs.

[0209] It should be noted that: the evaluation device for the regional zoning scheme provided in the above embodiment only uses the division of the above functional modules as an example when evaluating the regional zoning scheme. In actual applications, the above functional distribution can be completed by different functional modules as needed, that is, the internal structure of the device is divided into different functional modules to complete all or part of the functions described above. In addition, the evaluation device for the regional zoning scheme provided in the above embodiment and the evaluation method embodiment of the regional zoning scheme belong to the same concept. The specific implementation process is detailed in the method embodiment and will not be repeated here.

[0210] In this application, the terms "first", "second", etc. are used to distinguish between identical or similar items with substantially the same effects and functions. It should be understood that there is no logical or temporal dependency between "first", "second", and "nth", nor is the quantity and execution order limited. It should also be understood that although the following description uses the terms first, second, etc. to describe various elements, these elements should not be limited by the terms. These terms are only used to distinguish one element from another. For example, without departing from the scope of the various described examples, the first partition scheme may be referred to as the second partition scheme, and similarly, the second partition scheme may be referred to as the first partition scheme. Both the first partition scheme and the second partition scheme may be partition schemes, and in some cases, may be separate and different partition schemes.

[0211] In this application, the term "at least one" means one or more, and the term "multiple" means two or more. For example, multiple partition schemes refer to two or more partition schemes.

[0212] The above description is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any technician familiar with the technical field can easily think of various equivalent modifications or replacements within the technical scope disclosed in the present application, and these modifications or replacements should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

[0213] In the above embodiments, all or part of the embodiments may be implemented by software, hardware, firmware, or any combination thereof. When implemented by software, all or part of the embodiments may be implemented in the form of program structure information. The program structure information includes one or more program instructions. When the program instructions are loaded and executed on a computing device, all or part of the processes or functions in the embodiments of the present application are generated.

[0214] A person skilled in the art will understand that all or part of the steps to implement the above embodiments may be accomplished by hardware or by instructing related hardware through a program, and the program may be stored in a computer-readable storage medium, and the above-mentioned storage medium may be a read-only memory, a disk or an optical disk, etc.

[0215] As described above, the above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present application.

Claims

1. A method for evaluating a regional zoning scheme, characterized in that: The method comprises: Based on an event occurring in a region, determining propagation reference information of the event, the propagation reference information indicating a simulated path of propagation of the event in the region; Determine risk reference information of the partition scheme based on the propagation reference information, the partition scheme of the area, and the interaction data of the area, wherein the partition scheme indicates multiple sub-areas of the area, the interaction data indicates the interaction between objects related to the event at different locations of the area, and the risk reference information indicates the probability of the event occurring in each of the sub-areas when the event propagates according to the propagation reference information; Based on the partition scheme and the risk reference information, an evaluation result of the partition scheme is determined.

2. The method according to claim 1, characterized in that The determining, based on the partition scheme and the risk reference information, an evaluation result of the partition scheme includes: Determine, based on the partition scheme and the interaction data, governance reference information of the partition scheme, the governance reference information indicating a strategy for risk governance within the region based on the partition scheme when the event is propagated according to the propagation reference information; Based on the risk reference information and the governance reference information, an evaluation result of the partitioning scheme is determined.

3. The method according to claim 2, characterized in that The method also includes: displaying the governance reference information on an evaluation result display interface.

4. The method according to claim 2 or 3, characterized in that: The determining, based on the partition scheme and the interaction data, governance reference information of the partition scheme includes: Determine, based on a target sub-region where the event occurs in a plurality of sub-regions of the region and the interaction data, a regional interaction strength between the target sub-region and other sub-regions of the plurality of sub-regions, wherein the regional interaction strength indicates a flow rate of the object interacting between different sub-regions; The governance reference information is determined based on the regional interaction intensity between the target sub-region and other sub-regions in the multiple sub-regions.

5. The method according to claim 4, characterized in that The determining, based on the target sub-region where the event occurs in the multiple sub-regions of the region and the interaction data, the regional interaction strength between the target sub-region and other sub-regions of the multiple sub-regions comprises: Based on the interaction data, determining the grid interaction strength between any two grids corresponding to the region, the grid interaction strength indicating the flow size of the object interacting between different grids, each sub-region of the region corresponds to at least one grid; Based on the grid interaction strength between the grid corresponding to each sub-region of the region and any two grids corresponding to the region, the region interaction strength between the target sub-region and other sub-regions of the multiple sub-regions is determined.

6. The method according to any one of claims 1 to 5, characterized in that The method also includes: based on the propagation reference information, displaying the risk reference information on an assessment result display interface.

7. The method according to any one of claims 1 to 6, characterized in that The determining risk reference information of the partition scheme based on the propagation reference information, the partition scheme of the area, and the interaction data of the area includes: Determine, based on the propagation reference information, the partition scheme, and the interaction data, a regional risk value for each sub-region of the region in a future time period, the regional risk value indicating a probability of the event occurring in the corresponding sub-region when the event propagates according to the propagation reference information; The risk reference information is determined based on the regional risk value of each sub-region of the region.

8. The method according to claim 7, characterized in that The determining, based on the propagation reference information, the partition scheme, and the interaction data, a regional risk value of each sub-region of the region in a future time period includes: Determine, based on the propagation reference information and the interaction data, a grid risk value for each grid corresponding to the area in a future time period, the grid risk value indicating a probability of the event occurring in the corresponding grid when the event propagates according to the propagation reference information; Based on the grid risk values ​​of the grids in each sub-region of the region, a regional risk value for each sub-region of the region is determined.

9. The method according to claim 7 or 8, characterized in that: The determining the risk reference information based on the regional risk value of each sub-region of the region includes: Determining the risk reference information based on the regional risk value of each sub-region and the risk weight of each sub-region; Among them, the risk weight indicates at least one of the following: the distribution of objects related to the event in the corresponding sub-area, the interaction of objects related to the event between the corresponding sub-area and other sub-areas indicated by the partition scheme, and the influence of points of interest in the corresponding sub-area on the occurrence of the event.

10. The method according to any one of claims 1 to 9, characterized in that The method further comprises: The evaluation result of the partitioning scheme is displayed on the evaluation result display interface, and the evaluation result indicates the effect of risk management based on the partitioning scheme in the region when the event is propagated according to the propagation reference information.

11. The method according to any one of claims 1 to 10, characterized in that The method further comprises: The evaluation results of multiple different partitioning schemes for the area are displayed on the evaluation result display interface, and different partitioning schemes indicate multiple different sub-areas obtained by dividing the area in different ways.

12. The method according to claim 11, characterized in that The method further comprises: The evaluation curves of the multiple different partitioning schemes are displayed on the evaluation result display interface, and the evaluation curves are used to evaluate the effect of risk management in the area when the same cost is consumed under different partitioning schemes.

13. The method according to claim 12, characterized in that The method further comprises: generating the evaluation curve based on the cost consumption information and risk coverage information of the multiple different partitioning schemes; Among them, the cost consumption information indicates the cost consumed when risk management is performed according to different risk management strategies under different partitioning schemes, and the risk coverage information indicates the risks covered when risk management is performed according to different risk management strategies under different partitioning schemes.

14. The method according to any one of claims 1 to 13, characterized in that The determining, based on an event occurring in a region, propagation reference information of the event comprises: Based on the event type of the event, determining a propagation model matching the event type, the propagation model being used to simulate a propagation path of the event in the area; The propagation model is used to simulate the propagation path of the event in the area based on the initial position where the event occurs in the area, so as to obtain the propagation reference information.

15. An evaluation device for a regional zoning scheme, characterized in that: The device comprises: A first determination module is used to determine propagation reference information of an event occurring in a region based on the event, wherein the propagation reference information indicates a simulated path of propagation of the event in the region; A second determination module is configured to determine risk reference information of the partition scheme based on the propagation reference information, the partition scheme of the area, and interaction data of the area, wherein the partition scheme indicates multiple sub-areas of the area, the interaction data indicates the interaction between objects related to the event at different locations of the area, and the risk reference information indicates the probability of the event occurring in each of the sub-areas when the event is propagated according to the propagation reference information; The third determination module is used to determine the evaluation result of the partition scheme based on the partition scheme and the risk reference information.

16. A computing device, characterized in that The computing device includes a processor and a memory, wherein the memory is used to store at least one section of program code, and the at least one section of program code is loaded by the processor and executes the evaluation method of the regional partitioning scheme according to any one of claims 1 to 14.

17. A computing device cluster, characterized in that: The computing device cluster includes multiple computing devices, each of which includes a processor and a memory, the memory is used to store at least one program code, and the at least one program code is loaded by the processor to execute the evaluation method of the regional partitioning scheme according to any one of claims 1 to claim 14.

18. A computer-readable storage medium, characterized in that: The computer-readable storage medium is used to store at least one section of program code, and the at least one section of program code is used to execute the evaluation method of the regional zoning scheme according to any one of claims 1 to 14.

19. A computer program product, characterized in that When the computer program product is executed on a computing device, the computing device is caused to execute the method for evaluating a regional zoning scheme according to any one of claims 1 to 14.

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