CN114969153A - Personnel distribution data determination method and device - Google Patents
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Abstract
The application discloses a personnel distribution data determination method and a device, which relate to the technical field of communication and comprise the following steps: determining a target area corresponding to a target event, and acquiring control plane information and user plane information of each serving cell in the target area; determining a target user list based on control plane information and user plane information of each serving cell in a target area; the list of target users includes: a user generating service with any service cell in the target area in the process of the target event; for each user in the target user list, determining target position information corresponding to each user according to the position information of a service cell which finally generates service with the user in the process of the occurrence of the target event; and displaying a personnel distribution diagram corresponding to the target user list on the three-dimensional map model according to the target position information corresponding to each user in the target user list.
Description
The present application claims priority of the chinese patent application entitled "intelligent modeling system and method for emergency management" filed by the national intellectual property office at 29/09.2021 under the application number 202111151403.2, the entire contents of which are incorporated herein by reference.
Technical Field
The present application relates to the field of communications technologies, and in particular, to a method and an apparatus for determining people distribution data.
Background
When an emergency event occurs in a certain area, the personnel information of the area where the emergency event is located needs to be counted, so that the personnel distribution condition in the area is determined according to the personnel information in the area where the emergency event is located. The traditional method for counting the personnel information and the personnel distribution situation of the area where the emergency event is located is to count the personnel information in the area where the emergency event is located based on a census form so as to determine the personnel information and the personnel distribution situation.
According to the method, the current mode of counting the personnel information in the area of the emergency event is insufficient, the obtained information is not comprehensive, the counting period is long, and the personnel information and the personnel distribution condition in the area of the emergency event cannot be quickly obtained. Therefore, when an emergency occurs, the efficiency of counting the personnel information and the personnel distribution condition in the area where the emergency occurs is low, and the accuracy of the counted data is low, so that the emergency is not favorable for timely processing the emergency.
Disclosure of Invention
The application provides a personnel distribution data determining method and device, which are used for improving the efficiency of counting personnel information and personnel distribution conditions in an area where an emergency event is located when the emergency event occurs, improving the accuracy of the counted data and facilitating timely handling of the emergency event.
In order to achieve the purpose, the technical scheme is as follows:
in a first aspect, a method for determining people distribution data is provided, the method including: determining a target area corresponding to a target event, and acquiring control plane information and user plane information of each serving cell in the target area; the control plane information is data information corresponding to the control panel, and the user plane information is data information corresponding to the user plane; determining a target user list based on control plane information and user plane information of each serving cell in a target area; the list of target users includes: a user generating service with the serving cell included in the target serving cell list when the target event occurs; for each user in the target user list, determining target position information corresponding to each user according to the position information of a service cell which finally generates service with the user in the process of the occurrence of the target event; and displaying a personnel distribution diagram corresponding to the target user list on the three-dimensional map model according to the target position information corresponding to each user in the target user list.
In one possible implementation, determining the target user list based on the control plane information and the user plane information of each serving cell in the target area includes: determining a first user list based on control plane information of each serving cell in a target area; determining a second user list based on the user plane information of each service cell in the target area; the first user list is a user list determined from the control plane information, and the second user list is a user list determined from the user plane information; and comparing the user information included in the first user list and the second user list to remove duplication, and determining a target user list.
In one possible implementation, the list of target users includes at least one of: the user identification of each user, the place where each user corresponds to, the age of each user and the gender of each user; the method further comprises the following steps: generating an information statistical graph according to each user information included in the target user list; the information statistic map is used for indicating at least one of the following: the distribution situation of the place where the user is located, the distribution situation of the user age and the sex proportion of the user.
In one possible implementation, the method further includes: and generating a thermodynamic diagram based on a personnel distribution diagram corresponding to the target user list displayed on the three-dimensional map model, and rendering and displaying the thermodynamic diagram on the three-dimensional map model.
In a second aspect, there is provided a person distribution data determination apparatus, including: a processing unit and an acquisition unit; the processing unit is used for determining a target area corresponding to the target event; an obtaining unit, configured to obtain control plane information and user plane information of each serving cell in a target area; the control plane information is data information corresponding to the control panel, and the user plane information is data information corresponding to the user plane; a processing unit, configured to determine a target user list based on control plane information and user plane information of each serving cell in a target area; the list of target users includes: a user generating service with any service cell in the target area in the process of the target event; a processing unit, configured to determine, for each user in the target user list, target location information corresponding to each user according to location information of a serving cell where a service is finally generated with the user in a process of occurrence of a target event; and the processing unit is used for displaying a personnel distribution map corresponding to the target user list on the three-dimensional map model according to the target position information corresponding to each user in the target user list.
In a third aspect, there is provided a computer readable storage medium storing one or more programs, the one or more programs comprising instructions, which when executed by a computer, cause the computer to perform a method of people distribution data determination as in the first aspect.
In a fourth aspect, an electronic device comprises: a processor and a memory; wherein the memory is used for storing one or more programs, the one or more programs comprising computer executable instructions, and the processor executes the computer executable instructions stored by the memory when the electronic device is running, so as to make the electronic device execute the personnel distribution data determination method according to the first aspect.
The application provides a personnel distribution data determining method and a personnel distribution data determining device, which are applied to a scene of analyzing personnel distribution conditions. Further, based on the control plane information and the user plane information of each serving cell in the target area, determining a target user list corresponding to a user generating a service in any serving cell in the target area in the process of the occurrence of the target event; therefore, the target position information corresponding to each user is determined according to the position information of the service cell corresponding to the service generated by each user in the process of the target event occurrence, and the personnel distribution map corresponding to the target user list is displayed on the three-dimensional map model according to the target position information corresponding to each user. By the method, after the target event occurs, the list of users located in the target area when the target event occurs can be obtained through analysis according to the control plane information and the user plane information of the service cell included in the target area, the target position information corresponding to each user is further determined, and therefore the personnel distribution map corresponding to the target user list is displayed on the three-dimensional map model according to the target position information corresponding to each user. Therefore, when an emergency event occurs, the efficiency of counting personnel information and personnel distribution conditions in the area where the emergency event is located can be improved, the accuracy of the counted data is improved, the personnel distribution map is displayed through the three-dimensional map model, and the emergency event can be timely processed.
Drawings
Fig. 1 is a schematic structural diagram of a people distribution data determining system according to an embodiment of the present application;
fig. 2 is a first flowchart illustrating a method for determining personnel distribution data according to an embodiment of the present application;
fig. 3 is a schematic flow chart of a method for determining personnel distribution data according to an embodiment of the present application;
fig. 4 is a schematic flow chart of a method for determining personnel distribution data according to an embodiment of the present application;
fig. 5 is a schematic flow chart of a method for determining personnel distribution data according to an embodiment of the present application;
fig. 6 is a schematic structural diagram of a personnel distribution data determining apparatus according to an embodiment of the present application;
fig. 7 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be described below with reference to the drawings in the embodiments of the present application.
In the description of this application, "/" means "or" unless otherwise stated, for example, A/B may mean A or B. "and/or" herein is merely an association describing an associated object, and means that there may be three relationships, e.g., a and/or B, which may mean: a exists alone, A and B exist simultaneously, and B exists alone. Further, "at least one" or "a plurality" means two or more. The terms "first", "second", and the like do not necessarily limit the number and execution order, and the terms "first", "second", and the like do not necessarily limit the difference.
Currently, for population distribution analysis of emergency incidents, people distribution data is obtained by counting basic information of people in an area where the emergency incidents are located based on a census mode. However, the information obtained by this method is not comprehensive, the implementation period is long, the basic information and the personnel distribution information of all personnel in the area cannot be obtained quickly, and the emergency management requirement of an emergency cannot be met. Meanwhile, population distribution data of a traditional emergency scene cannot be used for rapidly acquiring population distribution conditions in a certain time period. And the traditional mode has higher cost, long implementation period and low efficiency, can not quickly acquire the personnel gathering condition and the personnel distribution condition in the area where the emergency is located, is not beneficial to emergency management and rescue organization of the emergency, and can not meet the emergency management requirement of the emergency.
The personnel distribution data determining method provided by the embodiment of the application can be suitable for a personnel distribution data determining system. Fig. 1 shows a schematic configuration of the people distribution data determination system. As shown in fig. 1, the person distribution data determining system 20 includes: electronic device 21, network device 22, and server 23. The electronic device 21 is connected to the network device 22, and the network device 22 is connected to the server 23. The electronic device 21, the network device 22, and the server 23 may be connected by a wired method or a wireless method, which is not limited in the embodiment of the present application.
The personnel distribution data determination system 20 may be used for the internet of things, and the personnel distribution data determination system 20 may include hardware such as a plurality of Central Processing Units (CPUs), a plurality of memories, and a storage device storing a plurality of operating systems.
The electronic device 21 may be used in the internet of things to provide communication service for the user, and is used to interact with the network device 22 to implement communication service required by the user.
The network device 22 may be used in the internet of things, and is connected to the server 23, and is configured to provide communication services required by the user for the electronic device 21, and provide services such as information transmission for the user according to the user requirements. For example, network device 22 may be a base station.
The server 23 may be used for the internet of things, and is a server corresponding to the network device 22, that is, the server 23 is a server of a communication operator, and is used to control and maintain the network device 22 and adjust a bandwidth configuration parameter of a service executed by the network device 22, so that the network device 22 provides a better service for a user.
It should be noted that the electronic device 21, the network device 22, and the server 23 may be independent devices or may be integrated in the same device, and this is not particularly limited in this application.
When the electronic device 21, the network device 22, and the server 23 are integrated in the same device, the communication mode among the electronic device 21, the network device 22, and the server 23 is communication among internal modules of the device. In this case, the communication flow between the two is the same as the "communication flow between the electronic device 21, the network device 22, and the server 23 when they are independent of each other".
In the following embodiments provided in the present application, the present application is described taking an example in which the electronic device 21, the network device 22, and the server 23 are provided independently of each other.
A method for determining people distribution data provided in the embodiments of the present application is described below with reference to the accompanying drawings.
As shown in fig. 2, a method for determining personnel distribution data provided in the embodiment of the present application is applied to a terminal including a plurality of memories and a plurality of Central Processing Units (CPUs), and includes S201 to S204:
s201, determining a target area corresponding to the target event, and acquiring control plane information and user plane information of each service cell in the target area.
The control plane information is data information corresponding to the control panel, and the user plane information is data information corresponding to the user plane.
In the embodiment of the application, when a target event occurs in a target area, the control plane information and the user plane information of each serving cell in the target area can be acquired by determining the target area corresponding to the target event, and a target user list corresponding to a user generating a service in any serving cell in the target area when the target event occurs is determined. And further determining target position information corresponding to each user in the target user list to display a personnel distribution diagram corresponding to the target user list on the three-dimensional map model according to the target position information corresponding to each user, so that the personnel distribution condition is visually displayed.
Optionally, the target event may be a natural disaster or an emergency event, for example, the target event may be any one of the following: earthquakes, typhoons, sand storms, floods and the like.
It should be noted that the serving cell in the target area may be determined as a target serving cell list, and the target area may be an administrative area corresponding to a city.
As a possible implementation manner, when a target event (e.g. a flood) occurs in a target area, a range within N kilometers of a central point of the target event may be determined as the target area, with longitude and latitude of the central point as a center.
Optionally, the latitude and longitude of the center point of the target event are taken as the center, and a range within N kilometers around the center point is determined as the target area, which can be understood as that a circular area with the center point as a circle center and N kilometers as a radius is determined as the target area; alternatively, it is understood that a square area having a center point as a center and N km as a side length is determined as the target area.
As a possible implementation manner, after determining a target area corresponding to a target event, further determining a plurality of serving cells located in the target area, and obtaining a target serving cell list. The latitude and longitude information of the serving cell can be directly acquired from the server.
For example, in case of a disaster in city a, it may be determined whether the serving cells belong to the disaster area according to the disaster area range, and in case that it is determined that multiple serving cells are located within the disaster area range, fields of the serving cells may be filled (for example, by yes/no filling) to indicate that the serving cells are located in the disaster area range.
S202, determining a target user list based on the control plane information and the user plane information of each service cell in the target area.
Wherein the list of target users comprises: and generating service with any service cell in the target area in the process of the target event.
It should be noted that the control plane information and the user plane information are used for recording related data of a user, such as call records, data information, control signaling, and signaling time, in a serving cell. The control plane information is mainly used for recording base station information corresponding to the serving cell, and the user plane information is mainly used for recording base station identification, user information and the like corresponding to the serving cell. The user information may include: user identification, service identification, time of service occurrence and the like.
Specifically, the analysis is performed based on the communication data of the operator communication user, and mainly includes a serving cell information table, a control plane information table, a user plane information table, and a user information table. The serving cell information table mainly includes: information such as a Cell name, a Cell longitude, a Cell latitude, a Location Area Code (LAC)/a Tracking Area Code (TAC), a Cell Identifier (CI)/a Cell unique Identifier (E-ultra Cell Identifier, ECI), and the like, needs to be extracted from a network operation and maintenance system of an operator. The user plane information table mainly comprises: information such as time, a Mobile phone Number, an International Mobile Subscriber identity Number (IMSI), LAC/TAC, CI/ECI, longitude, latitude, and the like, needs to be extracted from a Deep packet analysis (DPI) signaling acquisition system of an operator. The control plane information table mainly includes: information such as time, mobile phone number, IMSI, LAC/TAC, CI/ECI, service type and the like is extracted from a DPI signaling acquisition system of an operator. The user information table mainly comprises: identity information of operator users, such as provinces, city, mobile phone numbers, IMSIs, ages, sexes, evidence types, certificate numbers and the like, needs to be extracted from an information system of an operator.
Optionally, the target information of each serving cell included in the target serving cell list may be obtained in the process of the occurrence of the target event. The target event may be a corresponding time point in the process of the target event. For example, if the target event occurs between 14 pm and 16 pm on 20 th month in 2021, 15 pm on 20 th month in 2021 may be determined as the time point corresponding to the occurrence of the target event; alternatively, the time point corresponding to the occurrence of the target event is determined as 16 pm on 7/20/2021.
It is understood that the target user list may be understood as a list of risk-involved users determined when a target event (e.g., flood) occurs (i.e., users located in a target area may be affected by the target event when the target event occurs).
As a possible implementation manner, the user information included in the target area when the target event occurs may be further determined according to the control plane information and the user plane information. Specifically, when the target event occurs, the control plane information and the user plane information of the base station corresponding to each serving cell included in the target serving cell list may be screened from the server based on the target serving cell list.
In one design, the list of target users includes at least one of: the user identification of each user, the place where each user corresponds to, the age of each user and the gender of each user; in order to count the user information included in the target user list, as shown in fig. 3, in the method for determining people distribution data provided in the embodiment of the present application, the method may further include the following step S301:
s301, generating an information statistical chart according to the information of each user in the target user list.
Wherein the information statistic map is used for indicating at least one of the following: the distribution situation of the place where the user is located, the distribution situation of the user age and the sex proportion of the user.
Optionally, the information statistic map may be in any form of: bar charts, pie charts, line graphs, thermodynamic diagrams, and the like.
Optionally, each user information included in the target user list is supplemented, and the user information table may be associated through an IMSI field, and the identity information of the user, including the province of the home country, the city of the home country, the age, the gender, and the like, is added to the target user list.
Optionally, the information statistical chart may further include a user image, and the information such as the source, age distribution, sex ratio, and the like of all users in the target area is statistically analyzed and displayed in the form of a bar chart or a pie chart.
In the embodiment of the application, the identity information of the user in the target user list is obtained and the corresponding statistical chart is generated, so that the statistical chart can be combined with the rendering chart of personnel distribution on the three-dimensional map model, support is provided for rescue work of emergency management events, and the rescue work can be smoothly carried out.
S203, for each user in the target user list, determining the target position information corresponding to each user according to the position information of the service cell which finally generates the service with the user in the process of the target event.
It can be understood that the target location information is determined according to the location information of the serving cell corresponding to the user when the user finally generates a service in the process of the target event occurrence of each user.
Optionally, when the target event occurs, the serving cell corresponding to the last service generated by each user is determined, so as to obtain the location information of the serving cell corresponding to the last service generated by each user, and determine the location information as the target location information corresponding to the user.
Specifically, for a specific analysis process of the target location information corresponding to the user included in the target user list, the location information of the serving cell corresponding to the last service generated in the target area when the target event occurs in association with the International Mobile Subscriber Identity (IMSI) field may be determined. The IMSI is a mark for distinguishing a mobile subscriber, is stored in the SIM card, and can be used for distinguishing valid information of the mobile subscriber.
Furthermore, control plane and user plane information when a target event occurs are associated through an IMSI field of the user, information of a service which occurs at last is screened, and position information of a service cell of the service which occurs at last is used as target position information of the user. LAC/TAC and CI/ECI of the area where the user is located can be obtained through the next step.
And associating the longitude and latitude of the service cell with the LAC/TAC, the CI/ECI and the target service cell list, and matching the obtained longitude and latitude with the geographic position information to obtain the target position information of the user, wherein the specific longitude and latitude information in the target area can be refined.
And S204, displaying a personnel distribution diagram corresponding to the target user list on the three-dimensional map model according to the target position information corresponding to each user in the target user list.
The three-dimensional map model is generated based on live-action image data corresponding to the first region.
Optionally, the generating manner of the three-dimensional map model may specifically include the following steps. Firstly, acquiring compressed original image data, and constructing a scene graph through the compressed image data; when the scene graph is constructed, based on the spatial position (such as longitude and latitude) of the image acquisition, a certain number (such as 30 images, 50 images and the like) of images closest to each image are selected as adjacent images according to the spatial neighbor principle, so that the scene graph is constructed quickly.
Further, feature points on each image are extracted by using Scale-invariant feature transform (SIFT) or similar algorithm to complete image matching, and the feature points are part of feature points which are arranged in front after the feature points on each image are arranged from large to small according to the Scale. Only a certain number (for example, 2000 to 4000) of feature points with the largest scale may be retained, instead of using all the feature points for feature point matching, which may greatly reduce the matching time.
Then, the position and posture information of each image during shooting can be determined through a space-three optimization algorithm; the space-three optimization algorithm is an algorithm commonly used in image processing, and is used for searching optimal camera position and posture information and three-dimensional coordinates of feature points according to matched feature points, so that the square sum of reprojection errors of the three-dimensional points is minimized.
Generating dense point cloud by using the position and posture information of each image when the image is shot through a stereopair matching algorithm; the dense point cloud generation is to perform down-sampling on each image through a preset image down-sampling coefficient, designate a plurality of point cloud sampling density levels and perform full-pixel depth map generation on the image only at a high density level; the aforementioned image down-sampling coefficient is generally regarded as 2 by default. The stereo pair matching algorithm is also a commonly used algorithm in image processing, and can determine the same-name pixel on each pixel and an adjacent image according to the position relationship between each image and the adjacent image, and then determine the position of the corresponding pixel by using a front intersection algorithm, so as to obtain dense point cloud.
Optionally, the point cloud sampling density levels include a high density level, a medium density level and a low density level; except that the image is subjected to full-pixel depth map generation at the high density level, other depth maps are generated by adopting interval pixels, namely, the depth map generation is performed on every other pixel in the horizontal direction and the vertical direction of the image at the medium density level; at low density levels, depth map generation is performed for every second pixel in both the horizontal and vertical directions of the image. By specifying the down-sampling coefficient and the point cloud sampling density, the generation quantity and the generation time of the dense point cloud can be greatly reduced, and the time is saved for the subsequent three-dimensional model generation.
Further, according to the generated dense point cloud, a triangulation network model is generated; and then performing texture mapping on the triangulation network model and the image data to generate a three-dimensional model close to a real-time image of a modeling area. Wherein the triangulation model is generated based on the generated dense point cloud by a Delaunay tetrahedron subdivision algorithm and a graph cut method.
Optionally, first, based on the generated dense point cloud, a Delaunay tetrahedron space subdivision is generated, a global optimization graph is constructed, nodes of the graph are constructed by tetrahedrons in the space subdivision, edges of the graph are triangular surfaces of adjacent tetrahedrons, then triangular surfaces in the Delaunay tetrahedron subdivision, where connecting lines from each point to a camera seen by the point intersect, are determined, weighted values 1 are accumulated to corresponding edges in the global optimization graph, a global optimization graph constrained by a visible line is obtained, finally, the global optimization graph is segmented by using a max-flow minimum cut algorithm, an internal-external relation between each tetrahedron and a model surface is determined, and shared triangular surfaces of adjacent tetrahedrons located inside and outside the surface are extracted to form a final triangular mesh model. And finally, combining all the image blocks into a texture map according to a packing algorithm to realize texture mapping of a triangular network and obtain the three-dimensional model which is the same as or close to the real-time image of the modeling area.
In the embodiment of the application, when a target event occurs, a target area corresponding to the target event is determined first, and control plane information and user plane information of each serving cell in the target area are acquired. Further, based on the control plane information and the user plane information of each serving cell in the target area, determining a target user list corresponding to a user generating a service in any serving cell in the target area in the process of the occurrence of the target event; therefore, the target position information corresponding to each user in the target user list is determined according to the position information of the service cell corresponding to each user when the service is finally generated in the process of the target event occurrence of each user, and the personnel distribution diagram corresponding to the target user list is displayed on the three-dimensional map model according to the target position information corresponding to each user. By the method, after the target event occurs, the list of users located in the target area when the target event occurs can be obtained through analysis according to the control plane information and the user plane information of the service cell included in the target area, the target position information corresponding to each user is further determined, and therefore the personnel distribution map corresponding to the target user list is displayed on the three-dimensional map model according to the target position information corresponding to each user. Therefore, when an emergency event occurs, the efficiency of counting personnel information and personnel distribution conditions in the area where the emergency event is located can be improved, the accuracy of the counted data is improved, the personnel distribution map is displayed through the three-dimensional map model, and the emergency event can be timely processed.
In a design, in order to accurately determine a target user list, as shown in fig. 4, in the method for determining staff distribution data provided in an embodiment of the present application, the step in S202 may specifically include the following steps S401 to S402:
s401, determining a first user list based on the control plane information of each serving cell in the target area, and determining a second user list based on the user plane information of each serving cell in the target area.
The first user list is a user list determined from the control plane information, the second user list is a user list determined from the user plane information, and repeated user information exists in the first user list and the second user list.
For example, the matching process is performed through control plane information and data related to the target serving cell list, and the matching process may be performed through two fields, specifically, location area code LAC/TAC and CI/ECI.
When the control plane information corresponding to the target event is screened, the data related to the target serving cell list may be matched first, and then the user with the active service may be screened. For example, the user with the MO/MT field of 0, or the MO/MT field of 1 and the service type field of 3 is screened.
When screening the user plane information corresponding to the target event, the data related to the target serving cell list may be matched, for example, through two fields of LAC/TAC and CI/ECI, the user who has performed a service in the serving cell included in the target serving cell list is screened, and meanwhile, the time when the user has performed the service last and the longitude and latitude of the corresponding serving cell are screened.
S402, comparing the user information in the first user list and the second user list to remove duplication, and determining a target user list.
For the position determination of each user in the target area, performing screening analysis based on the target serving cell list, the control plane information when the target event occurs, and the user plane information, specifically:
and when a screening target event occurs, the control plane information corresponding to the target area is matched with a base station cell list in the target area range (through two fields of LAC/TAC and CI/ECI), users who have performed service in the service cell in the target area range are screened, and meanwhile, the time when the users finally perform service and the latitude and longitude of the service cell are screened (the latitude and longitude adopts the latitude and longitude of the cell in the base station cell list).
And screening user plane information when a target event occurs, matching the user plane information with a target service cell list corresponding to a target area (through two fields of LAC/TAC and CI/ECI), screening users who have performed service in the service cell in the target area, and screening the time and the cell longitude and latitude (the longitude and latitude adopt the cell longitude and latitude in a base station cell list) of the users who finally perform service.
Comparing and removing the duplication of the users obtained by the two parts, and reserving the time of the last service occurrence of the user and the longitude and latitude of the cell (the longitude and latitude adopt the longitude and latitude of the cell in the base station cell list).
In one design, in order to visually display the distribution of people, as shown in fig. 5, in the method for determining people distribution data provided in the embodiment of the present application, the following step S501 may be further included:
s501, generating a thermodynamic diagram based on a personnel distribution diagram corresponding to the target user list displayed on the three-dimensional map model, and rendering and displaying the thermodynamic diagram on the three-dimensional map model.
Optionally, after the users in the target user list are positioned and displayed on the three-dimensional map model according to the longitude and latitude of the serving cell, a thermodynamic diagram is generated and rendered and displayed on the three-dimensional map model. The geographic position corresponding to the longitude and latitude of the service cell corresponding to the user in the target user list is in the same coordinate system with the three-dimensional map model, so that the positioning and thermodynamic diagram rendering image can be directly displayed by taking the three-dimensional map model as a background.
In the embodiment of the application, based on the user communication big data of the mobile communication operator, the personnel distribution situation of any time period in the target area corresponding to the target event can be analyzed without time limitation, the personnel distribution result can be visually displayed on the three-dimensional map model, necessary support is provided for quick auxiliary decision making of emergency management, the emergency response can be conveniently and quickly carried out, and rescue is organized for personnel involved in danger.
The scheme provided by the embodiment of the application is mainly introduced from the perspective of a method. To implement the above functions, it includes hardware structures and/or software modules for performing the respective functions. Those of skill in the art will readily appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as hardware or combinations of hardware and computer software. Whether a function is performed as hardware or computer software drives hardware depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
In the embodiment of the present application, a person distribution data determining apparatus may be divided into function modules according to the above method example, for example, each function module may be divided corresponding to each function, or two or more functions may be integrated into one processing module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode. Optionally, the division of the modules in the embodiment of the present application is schematic, and is only a logic function division, and there may be another division manner in actual implementation.
Fig. 6 is a schematic structural diagram of a personnel distribution data determining apparatus according to an embodiment of the present application. As shown in fig. 6, a personnel distribution data determining apparatus 40 is used for improving the efficiency of statistics of personnel information and personnel distribution in the area of the emergency event and improving the accuracy of the statistical data when the emergency event occurs, so as to facilitate timely handling of the emergency event, for example, for executing a personnel distribution data determining method shown in fig. 2. The person distribution data determination apparatus 40 includes: a processing unit 401 and an acquisition unit 402.
The processing unit 401 is configured to determine a target area corresponding to the target event.
An obtaining unit 402, configured to obtain control plane information and user plane information of each serving cell in the target area, where the control plane information is data information corresponding to a control panel, and the user plane information is data information corresponding to a user plane.
A processing unit 401, configured to determine a target user list based on control plane information and user plane information of each serving cell in a target area; the list of target users includes: and generating service with any service cell in the target area in the process of the target event.
A processing unit 401, configured to determine, for each user in the target user list, target location information corresponding to each user according to location information of a serving cell where a service is finally generated with the user in a process of occurrence of a target event.
The processing unit 401 is configured to display a staff distribution diagram corresponding to the target user list on the three-dimensional map model according to the target position information corresponding to each user in the target user list.
Optionally, in the device 40 for determining staff distribution data provided in the embodiment of the present application, the processing unit 401 is configured to determine a first user list based on control plane information of each serving cell in the target area; determining a second user list based on the user plane information of each service cell in the target area; the first user list is a user list determined from the control plane information, and the second user list is a user list determined from the user plane information.
The processing unit 401 is configured to compare the user information included in the first user list and the second user list to remove duplicate, and determine a target user list.
Optionally, the target user list includes at least one of: the user identification of each user, the place where each user corresponds to, the age of each user and the gender of each user; in the apparatus 40 for determining staff distribution data provided in the embodiment of the present application, the processing unit 401 is configured to generate an information statistical chart according to each user information included in the target user list; the information statistic map is used for indicating at least one of the following: the distribution situation of the user mouth location, the distribution situation of the user age and the user gender ratio of the user.
Optionally, in the device 40 for determining person distribution data provided in the embodiment of the present application, the processing unit 401 is configured to generate a thermodynamic diagram based on a person distribution diagram corresponding to a target user list displayed on the three-dimensional map model, and render and display the thermodynamic diagram on the three-dimensional map model.
In the case of implementing the functions of the integrated modules in the form of hardware, the embodiments of the present application provide another possible structural schematic diagram of the electronic device related to the above embodiments. As shown in fig. 7, an electronic device 60 is used for improving the efficiency of statistics of personnel information and personnel distribution in the area of the emergency event and improving the accuracy of the statistical data when the emergency event occurs, so as to facilitate timely handling of the emergency event, for example, for implementing a personnel distribution data determination method shown in fig. 2. The electronic device 60 includes a processor 601, a memory 602, and a bus 603. The processor 601 and the memory 602 may be connected by a bus 603.
The processor 601 is a control center of the communication apparatus, and may be a single processor or a collective term for a plurality of processing elements. For example, the processor 601 may be a Central Processing Unit (CPU), other general-purpose processors, or the like. Wherein the general purpose processor may be a microprocessor or any conventional processor or the like.
For one embodiment, processor 601 may include one or more CPUs, such as CPU 0 and CPU 1 shown in FIG. 7.
The memory 602 may be, but is not limited to, a read-only memory (ROM) or other type of static storage device that may store static information and instructions, a Random Access Memory (RAM) or other type of dynamic storage device that may store information and instructions, an electrically erasable programmable read-only memory (EEPROM), a magnetic disk storage medium or other magnetic storage device, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer.
As a possible implementation, the memory 602 may be present separately from the processor 601, and the memory 602 may be connected to the processor 601 via a bus 603 for storing instructions or program code. The processor 601 can implement a method for determining people distribution data provided by the embodiment of the present application when calling and executing instructions or program codes stored in the memory 602.
In another possible implementation, the memory 602 may also be integrated with the processor 601.
The bus 603 may be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, an Extended ISA (EISA) bus, or the like. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, only one thick line is shown in FIG. 7, but this is not intended to represent only one bus or type of bus.
It is to be noted that the structure shown in fig. 7 does not constitute a limitation of the electronic apparatus 60. In addition to the components shown in fig. 7, the electronic device 60 may include more or fewer components than shown, or some components may be combined, or a different arrangement of components.
As an example, in connection with fig. 6, the processing unit 401 and the obtaining unit 402 in the electronic device implement the same functions as the processor 601 in fig. 7.
Optionally, as shown in fig. 7, the electronic device 60 provided in the embodiment of the present application may further include a communication interface 604.
A communication interface 604 for connecting with other devices via a communication network. The communication network may be an ethernet network, a radio access network, a Wireless Local Area Network (WLAN), etc. The communication interface 604 may include a receiving unit for receiving data and a transmitting unit for transmitting data.
In one design, in the electronic device provided in the embodiment of the present application, the communication interface may be further integrated in the processor.
Through the above description of the embodiments, it is clear for a person skilled in the art that, for convenience and simplicity of description, only the division of the above functional units is illustrated. In practical applications, the above function allocation can be performed by different functional units according to needs, that is, the internal structure of the device is divided into different functional units to perform all or part of the above described functions. For the specific working processes of the system, the apparatus and the unit described above, reference may be made to the corresponding processes in the foregoing method embodiments, and details are not described here again.
The embodiment of the present application further provides a computer-readable storage medium, where instructions are stored in the computer-readable storage medium, and when the computer executes the instructions, the computer executes each step in the method flow shown in the foregoing method embodiment.
Embodiments of the present application provide a computer program product comprising instructions which, when run on a computer, cause the computer to perform a method of determining people distribution data as in the above-described method embodiments.
The computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples (a non-exhaustive list) of the computer readable storage medium would include the following: an electrical connection having one or more wires, a portable computer diskette, and a hard disk. Random Access Memory (RAM), Read-Only Memory (ROM), Erasable Programmable Read-Only Memory (EPROM), registers, a hard disk, optical fiber, a portable Compact disk Read-Only Memory (CD-ROM), optical storage devices, magnetic storage devices, or any other form of computer-readable storage medium known in the art, in any suitable combination of the above, or any other form of computer-readable storage medium known in the art. An exemplary storage medium is coupled to the processor such the processor can read information from, and write information to, the storage medium. Of course, the storage medium may also be integral to the processor. The processor and the storage medium may reside in an Application Specific Integrated Circuit (ASIC). In embodiments of the present application, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
Since the electronic device, the computer-readable storage medium, and the computer program product in the embodiments of the present application may be applied to the method described above, for technical effects that can be obtained by the method, reference may also be made to the method embodiments described above, and details of the embodiments of the present application are not repeated herein.
The above is only an embodiment of the present application, but the scope of the present application is not limited thereto, and any changes or substitutions within the technical scope of the present disclosure should be covered by the scope of the present application.
Claims (10)
1. A people distribution data determination method, characterized in that the method comprises:
determining a target area corresponding to a target event, and acquiring control plane information and user plane information of each serving cell in the target area; the control plane information is data information corresponding to a control panel, and the user plane information is data information corresponding to a user plane;
determining a target user list based on the control plane information and the user plane information of each serving cell in the target area; the list of target users includes: a user generating service with any service cell in the target area in the process of the target event;
for each user in the target user list, determining target position information corresponding to each user according to the position information of the service cell which finally generates service with the user in the process of the target event;
and displaying a personnel distribution map corresponding to the target user list on a three-dimensional map model according to the target position information corresponding to each user in the target user list.
2. The method of claim 1, wherein determining a target user list based on the control plane information and the user plane information of each serving cell in the target area comprises:
determining a first user list based on control plane information of each serving cell in the target area; determining a second user list based on the user plane information of each service cell in the target area; the first user list is a user list determined from control plane information, and the second user list is a user list determined from user plane information;
and comparing the user information included in the first user list and the second user list to remove duplication, and determining the target user list.
3. The method of claim 1, wherein the list of target users comprises at least one of: the user identification of each user, the place where each user corresponds to, the age of each user and the gender of each user; the method further comprises the following steps:
generating an information statistical chart according to each user information included in the target user list; the information statistic map is used for indicating at least one of the following items: the distribution situation of the place where the user is located, the distribution situation of the user age and the sex proportion of the user.
4. The method of claim 1, further comprising:
generating a thermodynamic diagram based on a personnel distribution diagram corresponding to the target user list displayed on the three-dimensional map model, and rendering and displaying the thermodynamic diagram on the three-dimensional map model.
5. A person distribution data determination apparatus, characterized by comprising: a processing unit and an acquisition unit;
the processing unit is used for determining a target area corresponding to a target event;
the acquiring unit is configured to acquire control plane information and user plane information of each serving cell in the target area; the control plane information is data information corresponding to a control panel, and the user plane information is data information corresponding to a user plane;
the processing unit is configured to determine a target user list based on the control plane information and the user plane information of each serving cell in the target area; the list of target users includes: a user generating service with any service cell in the target area in the process of the target event;
the processing unit is configured to determine, for each user in the target user list, target location information corresponding to each user according to location information of a serving cell where a service is finally generated with the user in a process of occurrence of the target event;
and the processing unit is used for displaying a personnel distribution diagram corresponding to the target user list on the three-dimensional map model according to the target position information corresponding to each user in the target user list.
6. The people distribution data determination apparatus of claim 5, wherein the processing unit is configured to determine a first user list based on control plane information of each serving cell in the target area; determining a second user list based on the user plane information of each service cell in the target area; the first user list is a user list determined from control plane information, and the second user list is a user list determined from user plane information;
the processing unit is configured to compare and duplicate the user information included in the first user list and the second user list, and determine the target user list.
7. The people distribution data determination apparatus of claim 5, wherein the list of target users comprises at least one of: the user identification of each user, the place where each user corresponds to, the age of each user and the gender of each user;
the processing unit is used for generating an information statistical chart according to each user information included in the target user list; the information statistic map is used for indicating at least one of the following items: the distribution situation of the place where the user is located, the distribution situation of the user age and the sex proportion of the user.
8. The people distribution data determining device of claim 5, wherein the processing unit is configured to generate a thermodynamic diagram based on the people distribution diagram corresponding to the target user list displayed on the three-dimensional map model, and render the thermodynamic diagram on the three-dimensional map model.
9. A computer-readable storage medium storing one or more programs, the one or more programs comprising instructions, which when executed by a computer, cause the computer to perform a method of people distribution data determination as claimed in any one of claims 1-4.
10. An electronic device, comprising: a processor and a memory; wherein the memory is configured to store one or more programs, the one or more programs including computer-executable instructions, which when executed by the electronic device, cause the electronic device to perform the method of determining people distribution data as claimed in any one of claims 1-4, when the processor executes the computer-executable instructions stored in the memory.
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| CN202111440449.6A Pending CN114066999A (en) | 2021-09-29 | 2021-11-30 | Target positioning system and method based on three-dimensional modeling |
| CN202111438187.XA Pending CN114092651A (en) | 2021-09-29 | 2021-11-30 | Intelligent modeling system and method for emergency management |
| CN202210545528.1A Pending CN114782219A (en) | 2021-09-29 | 2022-05-19 | Personnel flow data analysis method and device |
| CN202210554244.9A Pending CN114969153A (en) | 2021-09-29 | 2022-05-20 | Personnel distribution data determination method and device |
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| CN202111440449.6A Pending CN114066999A (en) | 2021-09-29 | 2021-11-30 | Target positioning system and method based on three-dimensional modeling |
| CN202111438187.XA Pending CN114092651A (en) | 2021-09-29 | 2021-11-30 | Intelligent modeling system and method for emergency management |
| CN202210545528.1A Pending CN114782219A (en) | 2021-09-29 | 2022-05-19 | Personnel flow data analysis method and device |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN116227929A (en) * | 2023-03-07 | 2023-06-06 | 广州爱浦路网络技术有限公司 | Communication data analysis method, device, equipment and storage medium |
| CN117314081A (en) * | 2023-09-26 | 2023-12-29 | 选房宝(珠海横琴)数字科技有限公司 | Method, device, equipment and storage medium for guest development |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116227929A (en) * | 2023-03-07 | 2023-06-06 | 广州爱浦路网络技术有限公司 | Communication data analysis method, device, equipment and storage medium |
| CN116227929B (en) * | 2023-03-07 | 2024-03-19 | 广州爱浦路网络技术有限公司 | Communication data analysis method, device, equipment and storage medium |
| CN117314081A (en) * | 2023-09-26 | 2023-12-29 | 选房宝(珠海横琴)数字科技有限公司 | Method, device, equipment and storage medium for guest development |
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| CN114092651A (en) | 2022-02-25 |
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| CN114782219A (en) | 2022-07-22 |
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