A region division method and device and a storage medium

Abstract

The application discloses a regional division method and device and a storage medium. The method comprises the following steps: periodically performing user trajectory statistics on a base station in a target region to obtain user trajectory data, and determining regional passenger flow data of the target region by using the user trajectory data; determining passenger flow data of the target region in a target time period by using the regional passenger flow data to obtain predicted passenger flow data; and dividing at least one sub-region from the target region based on the regional passenger flow data and the predicted passenger flow data. Through the technical scheme, the accuracy and effect of regional division are improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of region division, in particular to a region division method and device, a storage medium and a storage medium. BACKGROUND

[0002] Since the reform and opening up, the urbanization process in China has made great progress, and a large number of labor forces have entered the city to make a living, some of whom have become mobile vendors to provide flexible and fast commodity services for urban residents. However, with the increase of mobile vendors, the requirements for urban region division are becoming higher and higher.

[0003] At present, the region division is mainly carried out by traditional manual work or personal subjective experience of mobile vendors, so that the divided regions are scattered in various places in the city and have strong randomness. In addition, the divided regions are prone to have less traffic flow, poor practicability, poor accuracy of region division, and poor effect in the use process. SUMMARY

[0004] To solve the above technical problems, the embodiments of the present application aim to provide a region division method and device, and a storage medium, which utilize region traffic flow data and predicted traffic flow data of a target region to reasonably divide the target region, thereby improving the accuracy and effect of region division.

[0005] The technical scheme of the present application is implemented as follows:

[0006] The present application provides a region division method, which comprises:

[0007] Periodically performing user trajectory statistics on a base station in a target region to obtain user trajectory data, and determining region traffic flow data of the target region by using the user trajectory data;

[0008] Using the region traffic flow data to predict traffic flow data of the target region in a target time period to obtain predicted traffic flow data;

[0009] Based on the region traffic flow data and the predicted traffic flow data, at least one sub-region is divided from the target region.

[0010] In the above method, the step of using the region traffic flow data to predict traffic flow data of the target region in a target time period to obtain predicted traffic flow data comprises:

[0011] Using the region traffic flow data to generate a time series model;

[0012] Using the time series model to predict traffic flow data of the target region in the target time period to obtain the predicted traffic flow data.

[0013] In the method, the at least one sub-region is divided from the target region based on the region flow data and the predicted flow data, and the method comprises:

[0014] The region flow data and the predicted flow data are provided to a first object through a data interface;

[0015] The region division instruction sent by the first object based on the region flow data and the predicted flow data is received;

[0016] The target region is divided according to the region division instruction, and the at least one sub-region is obtained.

[0017] In the method, the user trajectory data comprises at least one set of trajectory data corresponding to at least one period, and the region flow data of the target region is determined by using the user trajectory data, and the method comprises:

[0018] Each set of data in the at least one set of trajectory data is used to determine a set of flow feature information respectively, and at least one set of flow feature information is obtained; each set of information in the at least one set of flow feature information comprises a flow heat value of one period, a region flow inflow and outflow, a region crowd residence time, and region flow portrait information;

[0019] The at least one flow heat value included in the at least one set of flow feature information is used to determine a region flow heat total value and a region flow heat average value of the target region;

[0020] The at least one set of flow feature information, the region flow heat total value and the region flow heat average value are determined as the region flow data.

[0021] In the method, after the at least one sub-region is divided from the target region based on the region flow data and the predicted flow data, the method further comprises:

[0022] In a case where an allocation request for a first sub-region sent by a second object is received, the to-be-audited information corresponding to the second object is obtained; the first sub-region is any one of the at least one sub-region;

[0023] The to-be-audited information is audited to obtain an information audit result;

[0024] In a case where the information audit result is an audit pass, the first sub-region is allocated to the second object.

[0025] The application provides a region division device, which comprises:

[0026] The determining module is configured to periodically perform user trajectory statistics on base stations in a target area, to obtain user trajectory data, and to determine regional passenger flow data of the target area by using the user trajectory data.

[0027] The prediction module is configured to predict passenger flow data of the target area in a target time period by using the regional passenger flow data, to obtain predicted passenger flow data.

[0028] The division module is configured to divide at least one sub-area from the target area based on the regional passenger flow data and the predicted passenger flow data.

[0029] In the device, the prediction module is specifically configured to generate a time series model by using the regional passenger flow data, and to predict passenger flow data of the target area in the target time period by using the time series model, to obtain the predicted passenger flow data.

[0030] In the device, the division module is specifically configured to provide the regional passenger flow data and the predicted passenger flow data to a first object through a data interface, to receive regional division instructions sent by the first object based on the regional passenger flow data and the predicted passenger flow data, and to divide the target area according to the regional division instructions, to obtain the at least one sub-area.

[0031] In the device, the determining module is specifically configured to determine a group of passenger flow feature information by using each group of data in the at least one group of trajectory data, to obtain at least one group of passenger flow feature information, each group of information in the at least one group of passenger flow feature information includes a passenger flow heat value in a period, regional passenger flow inflow and outflow, regional crowd residence time, and regional passenger flow portrait information, to determine a regional passenger flow heat total value and a regional passenger flow heat average value of the target area by using at least one passenger flow heat value included in the at least one group of passenger flow feature information, and to determine the at least one group of passenger flow feature information, the regional passenger flow heat total value and the regional passenger flow heat average value as the regional passenger flow data.

[0032] In the device, the distribution module is configured to obtain to-be-audited information corresponding to a second object in a case where a distribution request for a first sub-area sent by the second object is received, the first sub-area is any one of the at least one sub-area, to perform auditing on the to-be-audited information, to obtain an information auditing result, and to distribute the first sub-area to the second object in a case where the information auditing result is an auditing pass.

[0033] The application provides a regional division device, which comprises a processor, a memory and a communication bus.

[0034] The communication bus is used to realize the communication connection between the processor and the memory;

[0035] The processor is used to execute the region partitioning program stored in the memory to implement the above-described region partitioning method.

[0036] The present invention provides a computer-readable storage medium storing one or more programs, which can be executed by one or more processors to implement the above-described region partitioning method.

[0037] This invention provides a method, apparatus, and storage medium for area division. The method includes: periodically performing user trajectory statistics on base stations within a target area to obtain user trajectory data, and using the user trajectory data to determine regional pedestrian flow data for the target area; using the regional pedestrian flow data to determine pedestrian flow data in the target area during a target time period to obtain predicted pedestrian flow data; and based on the regional pedestrian flow data and the predicted pedestrian flow data, dividing at least one sub-region from the target area. The technical solution provided by this invention utilizes the regional pedestrian flow data and predicted pedestrian flow data of the target area to perform reasonable area division of the target area, improving the accuracy and effectiveness of area division. Attached Figure Description

[0038] Figure 1 This is a flowchart illustrating a region division method provided in an embodiment of the present invention;

[0039] Figure 2 This is an exemplary flowchart illustrating the generation of region partitioning instructions and the management of sub-regions, provided as an embodiment of the present invention.

[0040] Figure 3 This is a schematic diagram illustrating an exemplary process for applying for the allocation of a first sub-region, provided as an embodiment of the present invention.

[0041] Figure 4 A schematic diagram of the structure of a region division device provided in an embodiment of the present invention. Figure 1 ;

[0042] Figure 5 A schematic diagram of the structure of a region division device provided in an embodiment of the present invention. Figure 2 . Detailed Implementation

[0043] The technical solutions of the present invention will now be clearly and completely described with reference to the accompanying drawings of the embodiments of the present invention. It is to be understood that the specific embodiments described herein are merely for explaining the relevant application and are not intended to limit the application. Furthermore, it should be noted that, for ease of description, only the parts relevant to the relevant application are shown in the accompanying drawings.

[0044] The application provides a region division method applied to a region division device, Figure 1 A flowchart of a region division method provided by an embodiment of the application is shown in FIG. 1. Figure 1 The method mainly includes the following steps:

[0045] S101, periodically performing user trajectory statistics on base stations in a target region to obtain user trajectory data, and determining regional passenger flow data of the target region by using the user trajectory data.

[0046] In the embodiment of the application, the region division device periodically performs user trajectory statistics on base stations in a target region to obtain user trajectory data, and determines regional passenger flow data of the target region by using the user trajectory data.

[0047] It should be noted that, in the embodiment of the application, the target region can be a circular region represented by latitude and longitude, or a rectangular region represented by latitude and longitude, and the specific target region can be set according to actual requirements and application scenarios.

[0048] It should be noted that, in the embodiment of the application, the region division device can search for base stations located in the target region, and determine each searched base station as a base station in the target region.

[0049] It should be noted that, in the embodiment of the application, the region division device can store the obtained base stations in the target region to a target region table, and the target region table is shown in Table 1 as follows:

[0050] Table 1

[0051]

[0052] It should be noted that, in the embodiment of the application, the base stations in the target region recorded in Table 1 in the form of a list further include the creation time of the target region, the region identifier, the region type, the list of base stations included in the region, and the identifier and time of the region task.

[0053] It should be noted that, in the embodiment of the application, the specific task list of the target region is stored by a region task table, and the region task table of the target region is shown in Table 2 as follows:

[0054] Table 2

[0055]

[0056] It should be noted that in the embodiments of the present application, the task list, task identifier, task start time, task type and task state and the like of the region division apparatus in the target region are included in Table 2. Specifically, the task list can be a task of determining regional people flow data or a task of predicting people flow data, and the task of determining regional people flow data can be further refined, such as a task of determining people flow heat value, regional people flow inflow and outflow, regional crowd residence time, and regional people flow portrait information, or the task of predicting people flow data can be further refined. In addition, the time and identifier of the region task in Table 1 are the end time and end task identifier of the task in Table 2.

[0057] It should be noted that in the embodiments of the present application, the user trajectory data includes user identifier, age, gender, consumption level, and motion trajectory and the like.

[0058] It should be noted that in the embodiments of the present application, the region division apparatus periodically performs user trajectory statistics on the base stations in the target region. For example, the region division apparatus can perform user trajectory statistics on the base stations in the target region every 5 minutes, that is, one period is 5 minutes. The specific period of time can be set according to actual needs and application scenarios, and the present application is not limited.

[0059] Specifically, in the embodiments of the present application, the user trajectory data includes at least one set of trajectory data corresponding to at least one period, and the region division apparatus determines regional people flow data of the target region by using the user trajectory data, including: determining a set of people flow feature information by using each set of data in the at least one set of trajectory data, to obtain at least one set of people flow feature information; each set of information in the at least one set of people flow feature information includes people flow heat value, regional people flow inflow and outflow, regional crowd residence time, and regional people flow portrait information of one period; determining regional people flow heat total value and regional people flow heat average value of the target region by using at least one people flow heat value included in the at least one set of people flow feature information; and determining the at least one set of people flow feature information, the regional people flow heat total value and the regional people flow heat average value as the regional people flow data.

[0060] It should be noted that in the embodiments of the present application, the region division apparatus collects one set of trajectory data in each period, and the specific number of periods and the number of sets of trajectory data can be determined according to actual needs and application scenarios, and the present application is not limited.

[0061] It should be noted that in the embodiments of the present application, since at least one period corresponds to a set of trajectory data, the region division apparatus determines a set of people flow feature information using a set of trajectory data, that is, each set of people flow feature information in the at least one set of people flow feature information corresponds to a period, and each set of people flow feature information includes people flow heat value of a period, regional people flow inflow and outflow, regional people flow residence time, and regional people flow portrait information.

[0062] Specifically, in the embodiments of the present application, in each set of people flow feature information, the people flow heat value is the number of user trajectories in the target region in a period, the regional people flow inflow and outflow is the number of people flowing out of the target region in a period minus the number of people flowing in, the regional people flow residence time is the time for a user to stay in the target region in a period, and the regional people flow portrait information includes age distribution, gender distribution, and consumption level distribution information of users in the target region in a period.

[0063] It should be noted that in the embodiments of the present application, the region division apparatus determines the regional people flow heat total value and the regional people flow heat average value of the target region using at least one people flow heat value included in the at least one set of people flow feature information, specifically, the at least one people flow heat value is added to obtain the regional people flow heat total value of the target region, and then the regional people flow heat average value is obtained by dividing the regional people flow heat total value by the number of the at least one people flow heat value, for example, if the periodic time is 5 minutes, then 12 people flow heat values can be obtained in one hour, then the regional people flow heat total value is obtained by adding the 12 people flow heat values, and then the regional people flow heat average value is obtained by dividing the regional people flow heat total value by 12.

[0064] It should be noted that in the embodiments of the present application, after the region division apparatus determines the people flow heat value, the regional people flow inflow and outflow, the regional people flow residence time, the regional people flow portrait information, the regional people flow heat total value, and the regional people flow heat average value included in the at least one set of people flow feature information as regional people flow data, the regional people flow data can be stored in a people flow data table, and the people flow data table includes a people flow portrait information table and a regional people flow residence table, wherein the people flow data table is shown in Table 3 below, and the regional people flow residence table is shown in Table 4 below:

[0065] Table 3

[0066]

[0067] It should be noted that in the embodiments of the present application, the base stations in Table 3 are base stations in the target region, including base station 1 to base station N.

[0068] Table 4

[0069] Zone 1 Zone 2 Zone 3 Zone 4 …… Zone N Zone ID Zone ID Zone ID Zone ID …… Zone ID Inflow Inflow Inflow Inflow …… Inflow Outflow Outflow Outflow Outflow …… Outflow All day All day All day All day …… All day

[0070] It should be noted that in the embodiments of the present application, any one of the regions in Table 4 can be a target region, and the time counted in the table can be one period or multiple periods, and the specific counting time is not limited by the present application.

[0071] S102, using the regional flow data, predicting the flow data of the target region in the target time period to obtain predicted flow data.

[0072] In the embodiments of the present application, the region division device determines the flow data of the target region in the target time period using the regional flow data to obtain the predicted flow data.

[0073] It should be noted that in the embodiments of the present application, the region division device can use the actually determined regional flow data to predict the flow data in a future target time period to obtain the predicted flow data.

[0074] Specifically, in the embodiments of the present application, the region division device determines the flow data of the target region in the target time period using the regional flow data to obtain the predicted flow data, comprising: using the regional flow data to generate a time series model; using the time series model to predict the flow data of the target region in the target time period to obtain the predicted flow data.

[0075] It should be noted that in the embodiments of the present application, the region division device uses the determined regional flow data as sample information to train the preset sequence model, and determines the trained model as the time series model, and then uses the time series model to predict the flow data of the target region in the target time period. Specifically, the time series model can predict the flow heat value of the target region in the target time period, the regional flow inflow and outflow, the regional crowd residence time, and the regional flow portrait information, the regional flow heat total value and the regional flow heat average value.

[0076] It should be noted that in the embodiments of the present application, the region division device stores the regional flow data and the predicted flow data into a target flow data table for the region division device to divide the regions based on the target flow data table, wherein the target flow data table is shown in Table 5:

[0077] Table 5

[0078]

[0079]

[0080] S103, based on the regional flow data and the predicted flow data, at least one sub-region is divided from the target region.

[0081] In the embodiment of the present application, the region division device divides at least one sub-region from the target region based on the region flow data and the predicted flow data.

[0082] Specifically, in the embodiment of the present application, the region division device divides at least one sub-region from the target region based on the region flow data and the predicted flow data, comprising: providing the region flow data and the predicted flow data to the first object through a data interface; receiving the region division instruction sent by the first object based on the region flow data and the predicted flow data; and performing region division on the target region according to the region division instruction to obtain at least one sub-region.

[0083] It should be noted that, in the embodiment of the present application, the region division device provides the region flow data and the predicted flow data to the first object through a data interface, wherein the first object can be an administrator with organization management function, or a staff responsible for the specific daily work of city management.

[0084] Figure 2 An exemplary flowchart for generating region division instruction and managing sub-region is provided for the embodiment of the present application. As shown in Figure 2 the first object logs in through the cloud to verify the identity, and the cloud needs to judge whether the first object has subscribed the permission of the target region. If the first object has subscribed the permission of the target region, the first object enters the sub-region management big screen to display the region, and then the first object can choose to enter the sub-region division interface through the cloud, or choose to enter the sub-region management interface. In the case of entering the sub-region division interface, the region flow data and the predicted flow data can be obtained through the data interface provided by the region division device, and then the target region is divided into at least one sub-region according to the region flow data and the predicted flow data, the name, position, responsible person and first sub-region number of the at least one sub-region are defined, and the region division instruction is generated by using the at least one sub-region and the name, position, responsible person and first sub-region number of the at least one sub-region, and is sent to the region division device, so that the region division device divides at least one sub-region from the target region based on the region division instruction. In addition, if the first object enters the sub-region management interface through the cloud, the region division device can also be used to perform the business processes such as re-editing the sub-region, deleting the sub-region, information notification, first sub-region approval and sub-region detail query.

[0085] Specifically, in the embodiment of the present application, after the region division device divides at least one sub-region from the target region based on the region flow data and the predicted flow data, the following steps can be further performed: in the case that an allocation request for the first sub-region is received from a second object, obtaining the to-be-audited information corresponding to the second object; the first sub-region is any one of the at least one sub-region; auditing the to-be-audited information to obtain an information audit result; in the case that the information audit result is passed, allocating the first sub-region to the second object.

[0086] For example, in the embodiment of the present application, the second object can be a mobile vendor, the target region can be a market region, and the first sub-region can be a region divided from the market region.

[0087] It should be noted that, in the embodiment of the present application, the second object can apply for any one of the sub-regions divided by the region division device according to actual needs, and determine the applied region as the first sub-region, and apply to the region division device. Correspondingly, the region division device will receive the allocation request sent from the second object, and then allocate the region according to the allocation request.

[0088] It should be noted that, in the embodiment of the present application, the first object can log in to the cloud, and in the case that the second object applies for the allocation request, obtain the to-be-audited information corresponding to the second object, and audit it. In the case that the audit is passed, the audit result is sent to the region division device, so that the region division device allocates the first sub-region to the second object according to the audit result.

[0089] It should be noted that, in the embodiment of the present application, the second object applies for the first sub-region through the WeChat applet. Since the sub-region to which the first sub-region belongs is divided based on the region flow data and the predicted flow data, the flow is large, which can ensure the income of the second object. In addition, the second object needs to apply for allocation, which reduces the management difficulty of the first object to the second object.

[0090] Figure 3 An exemplary flowchart for applying for the first sub-region allocation is provided for the embodiment of the present application. As shown in FIG. 4, the flowchart includes the following steps: Figure 3As shown, the second object sends a sub-region allocation request to the region division device through the WeChat applet, the second object needs to log in the applet, and sends the sub-region allocation request to the region division device, if the second object has been authenticated, the sub-region allocation request is directly sent, if no authentication is performed, the identity needs to be verified, the name, identity card and applied first sub-region information are input, and real-name authentication is performed, if the person and the card are consistent, the registration is successful, the second object sends a first sub-region allocation request to the region division device, if the person and the card are inconsistent, the registration fails, and the registration is re-performed, if the registration is successful, it is further judged whether the first sub-region type and the sales type are compliant, if not compliant, the application is rejected, if compliant, the region division device continues to judge whether the application upper limit of the first sub-region is exceeded, if the application upper limit of the first sub-region is not exceeded, the application is successful, and a business license is generated, if the application upper limit of the first sub-region is exceeded, the application fails; in addition, the second object can also check in, fill in problem feedback and view messages through the WeChat applet.

[0091] The application provides a region division method, which comprises the following steps: periodically performing user trajectory statistics on base stations in a target region to obtain user trajectory data, and determining regional passenger flow data of the target region by using the user trajectory data; determining passenger flow data of the target region in a target time period by using the regional passenger flow data, to obtain predicted passenger flow data; and dividing at least one sub-region from the target region based on the regional passenger flow data and the predicted passenger flow data. The technical scheme provided by the application can reasonably divide the target region by using the regional passenger flow data and the predicted passenger flow data of the target region, and improve the accuracy and effect of region division.

[0092] The application provides a region division device, Figure 4 The application provides a region division device, Figure 1 As shown in the accompanying drawings, Figure 4 As shown in the accompanying drawings,

[0093] The determining module 401 is configured to periodically perform user trajectory statistics on base stations in a target region to obtain user trajectory data, and determine regional passenger flow data of the target region by using the user trajectory data.

[0094] The prediction module 402 is configured to determine passenger flow data of the target region in a target time period by using the regional passenger flow data, to obtain predicted passenger flow data.

[0095] The division module 403 is configured to divide at least one sub-region from the target region based on the regional passenger flow data and the predicted passenger flow data.

[0096] Optionally, the prediction module 402 is specifically used to generate a time series model using the regional pedestrian flow data; and to predict the pedestrian flow data of the target area during the target time period using the time series model, thereby obtaining the predicted pedestrian flow data.

[0097] Optionally, the partitioning module 403 is specifically used to provide the regional pedestrian flow data and the predicted pedestrian flow data to the first object through a data interface; receive a regional partitioning instruction sent by the first object based on the regional pedestrian flow data and the predicted pedestrian flow data; and partition the target area according to the regional partitioning instruction to obtain the at least one sub-area.

[0098] Optionally, the determining module 401 is specifically used to determine a set of pedestrian flow characteristic information using each set of data in the at least one set of trajectory data, thereby obtaining at least one set of pedestrian flow characteristic information; each set of information in the at least one set of pedestrian flow characteristic information includes a pedestrian flow heat value for one period, regional pedestrian inflow and outflow volume, regional crowd dwell time, and regional pedestrian flow profile information; using at least one pedestrian flow heat value included in the at least one set of pedestrian flow characteristic information, the total regional pedestrian flow heat value and the average regional pedestrian flow heat value of the target area are determined; the at least one set of pedestrian flow characteristic information, the total regional pedestrian flow heat value, and the average regional pedestrian flow heat value are determined as the regional pedestrian flow data.

[0099] Optionally, the region division device further includes: an allocation module (not shown in the figure), configured to, upon receiving an allocation request for a first sub-region sent by a second object, obtain the information to be reviewed corresponding to the second object; the first sub-region is any one of the at least one sub-regions; review the information to be reviewed to obtain an information review result; and, if the information review result is approved, allocate the first sub-region to the second object.

[0100] This invention provides a region division device. Figure 5 A schematic diagram of the structure of a region division device provided in an embodiment of the present invention. Figure 2 .like Figure 5 As shown, the region partitioning device includes: a processor 501, a memory 502, and a communication bus 503;

[0101] The communication bus 503 is used to realize the communication connection between the processor 501 and the memory 502;

[0102] The processor 501 is used to execute the region partitioning program stored in the memory 502 to implement the above-mentioned region partitioning method.

[0103] The application provides a region division device, which periodically carries out user trajectory statistics on a base station in a target region, obtains user trajectory data, and determines region people flow data of the target region by using the user trajectory data; determines people flow data of the target region in a target time period by using the region people flow data, and obtains predicted people flow data; and divides at least one sub-region from the target region based on the region people flow data and the predicted people flow data. The technical scheme provided by the application carries out reasonable region division on the target region by using the region people flow data and the predicted people flow data of the target region, and improves the accuracy and effect of region division.

[0104] The application provides a computer readable storage medium, which stores one or more programs, and the one or more programs can be executed by one or more processors to implement the above-mentioned region division method. The computer readable storage medium can be a volatile memory such as a random access memory (RAM), or a non-volatile memory such as a read-only memory (ROM), a flash memory, a hard disk drive (HDD) or a solid-state drive (SSD), or a device including one or any combination of the above-mentioned memories, such as a mobile phone, a computer, a tablet device, a personal digital assistant, etc.

[0105] Those skilled in the art should understand that the embodiments of the application can be provided as a method, a system, or a computer program product. Therefore, the application can be in the form of a hardware embodiment, a software embodiment, or an embodiment combining software and hardware aspects. Moreover, the application can be in the form of a computer program product implemented on one or more computer usable storage media (including but not limited to magnetic disk storage and optical storage, etc.) containing computer usable program code.

[0106] The application is described with reference to flowcharts and / or block diagrams of the method, device (system), and computer program product according to the embodiments of the application. It should be understood that each flow and / or block in the flowcharts and / or block diagrams, and the combination of the flows and / or blocks, can be implemented by computer program instructions. These computer program instructions can be provided to a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing devices to produce a machine, so that the instructions executed by the computer or other programmable data processing devices produce a device that implements the flowcharts and / or block diagrams. Figure 1 one flow or multiple flows and / or blocks Figure 1means for performing the function specified by the block or blocks.

[0107] These computer program instructions can also be stored in a computer readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer readable memory produce an article of manufacture including instructions which implement the flow Figure 1 one or more flowcharts and / or blocks Figure 1 means for performing the function specified by the block or blocks.

[0108] These computer program instructions can also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the flow Figure 1 one or more flowcharts and / or blocks Figure 1 means for performing the function specified by the block or blocks.

[0109] The above descriptions are only specific embodiments of the application, but the protection scope of the application is not limited to this. Any changes or replacements within the technical scope disclosed by the utility model should be covered within the protection scope of the application. Therefore, the protection scope of the application should be subject to the protection scope of the claims.

Claims

1. A method for dividing regions, characterized in that, The method includes: User trajectory statistics are periodically performed on base stations within the target area to obtain user trajectory data; the user trajectory data includes at least one set of trajectory data corresponding to at least one period. Using each set of data from the at least one set of trajectory data, a set of pedestrian flow characteristic information is determined to obtain at least one set of pedestrian flow characteristic information; Using at least one pedestrian heat value included in the at least one set of pedestrian flow characteristic information, determine the total regional pedestrian heat value and the average regional pedestrian heat value of the target area; The at least one set of pedestrian flow characteristic information, the total thermal value of pedestrian flow in the region, and the average thermal value of pedestrian flow in the region are determined as the pedestrian flow data of the region; A time series model is generated using the population flow data of the area. Using the time series model, predict the pedestrian flow data of the target area during the target time period to obtain the predicted pedestrian flow data; Based on the regional pedestrian flow data and the predicted pedestrian flow data, at least one sub-region is divided from the target region.

2. The method according to claim 1, characterized in that, The step of dividing at least one sub-region from the target region based on the regional pedestrian flow data and the predicted pedestrian flow data includes: The regional pedestrian flow data and the predicted pedestrian flow data are provided to the first object through the data interface; Receive a region division instruction sent by the first object based on the regional pedestrian flow data and the predicted pedestrian flow data; According to the region division instruction, the target region is divided into regions to obtain at least one sub-region.

3. The method according to claim 1, characterized in that, In the at least one set of pedestrian flow characteristic information, each set of information includes a pedestrian flow heat value for one period, the inflow and outflow of pedestrians in the area, the dwell time of people in the area, and the pedestrian flow profile information in the area.

4. The method according to claim 1, characterized in that, After dividing at least one sub-region from the target region based on the regional pedestrian flow data and the predicted pedestrian flow data, the method further includes: Upon receiving an allocation request for the first sub-region from the second object, obtain the pending review information corresponding to the second object; the first sub-region is any one of the at least one sub-regions. The information to be reviewed is reviewed to obtain the information review result; If the information review result is approved, the first sub-region will be assigned to the second object.

5. A region division device, characterized in that, include: The determination module is used to periodically perform user trajectory statistics on base stations within a target area to obtain user trajectory data, and use the user trajectory data to determine the regional pedestrian flow data of the target area; using at least one set of pedestrian flow feature information including at least one pedestrian flow heat value, determine the total regional pedestrian flow heat value and the average regional pedestrian flow heat value of the target area; and determine the at least one set of pedestrian flow feature information, the total regional pedestrian flow heat value, and the average regional pedestrian flow heat value as the regional pedestrian flow data. The prediction module is used to generate a time series model using the population flow data of the area; and to predict the population flow data of the target area during a target time period using the time series model, thereby obtaining predicted population flow data. The segmentation module is used to segment at least one sub-region from the target region based on the regional pedestrian flow data and the predicted pedestrian flow data.

6. The apparatus according to claim 5, characterized in that, The segmentation module is specifically used to provide the regional pedestrian flow data and the predicted pedestrian flow data to a first object through a data interface; receive a regional segmentation instruction sent by the first object based on the regional pedestrian flow data and the predicted pedestrian flow data; and segment the target area according to the regional segmentation instruction to obtain the at least one sub-area.

7. A region division device, characterized in that, include: Processor, memory, and communication bus; The communication bus is used to realize the communication connection between the processor and the memory; The processor is configured to execute the region partitioning program stored in the memory to implement the region partitioning method according to any one of claims 1-4.

8. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores one or more programs, which can be executed by one or more processors to implement the region division method according to any one of claims 1-4.

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