CN111311193B - Method and device for configuring public service resources - Google Patents
Method and device for configuring public service resources Download PDFInfo
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- CN111311193B CN111311193B CN202010120682.5A CN202010120682A CN111311193B CN 111311193 B CN111311193 B CN 111311193B CN 202010120682 A CN202010120682 A CN 202010120682A CN 111311193 B CN111311193 B CN 111311193B
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/10—Office automation; Time management
- G06Q10/103—Workflow collaboration or project management
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/953—Querying, e.g. by the use of web search engines
- G06F16/9537—Spatial or temporal dependent retrieval, e.g. spatiotemporal queries
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/26—Government or public services
Abstract
The present disclosure relates to the field of artificial intelligence. The embodiment of the invention discloses a method and a device for configuring public service resources. The method comprises the following steps: acquiring user positioning data in a preset area and resident position information of a user in the preset area; determining the number of users residing in the very residing positions in the preset area according to the user positioning data in the preset area and the residing position information of the users in the preset area; determining the total number of the users residing in the preset area according to the user positioning data in the preset area; determining activity information of a preset area based on the number of users residing in the non-residing position in the preset area and the total number of users residing in the preset area; and configuring corresponding public service resources for the preset area based on the activity information of the preset area. The method can realize reasonable configuration of public service resources.
Description
Technical Field
The embodiment of the disclosure relates to the technical field of computers, in particular to the technical field of big data, and particularly relates to a method and a device for configuring public service resources.
Background
Public service resources refer to public services or public items for life and work services for people, having common consumption properties, such as public transportation services, power supply services, land use planning, medical resources, etc. Public service resources are reasonably planned, convenience of life and work can be effectively improved, and social development is promoted.
The current public resource allocation and planning is based on regional statistics, such as population number and distribution, regional natural resource total amount and distribution, and regional population consumption data. However, the acquisition of the statistical data requires a large amount of human resources, and the statistical period is long, so that the real-time performance is to be improved.
Disclosure of Invention
The embodiment of the disclosure provides a method and a device for configuring public service resources, electronic equipment and a computer readable medium.
In a first aspect, an embodiment of the present disclosure provides a method for configuring a public service resource, including: acquiring user positioning data in a preset area and resident position information of a user in the preset area; determining the number of users residing in the very residing positions in the preset area according to the user positioning data in the preset area and the residing position information of the users in the preset area; determining the total number of the users residing in the preset area according to the user positioning data in the preset area; determining activity information of a preset area based on the number of users residing in the non-residing position in the preset area and the total number of users residing in the preset area; and configuring corresponding public service resources for the preset area based on the activity information of the preset area.
In some embodiments, the above method further comprises: screening out user positioning data in a preset time period from the user positioning data in a preset area; and determining the number of users residing in the non-residing position in the preset area, including: determining the number of users residing in the non-residing position in a preset time period in a preset area; the determining the total number of the users residing in the preset area includes: determining the total number of users residing in a preset time period in a preset area; the determining the activity information of the preset area based on the number of the users residing in the non-residing position in the preset area and the total number of the users residing in the preset area includes: the activity information of the preset area in the preset time period is determined based on the number of users in the preset area and residing in the non-resident position in the preset time period and the total number of users in the preset area and residing in the preset time period.
In some embodiments, the configuring the corresponding public service resource for the preset area based on the activity information of the preset area includes: and configuring public service resources corresponding to each preset time period for the preset area based on the activity information of the preset area in at least two preset time periods and the schedulable public service resources of the preset area.
In some embodiments, the configuring the corresponding public service resource for the preset area based on the activity information of the preset area includes: in response to determining that the activity information of the preset area does not meet the preset activity condition, acquiring public service resource configuration information of a target area of which the activity information meets the preset activity condition; and configuring public service resources for the preset area based on the public service resource configuration information of the target area.
In some embodiments, the determining the number of the users residing in the very residing location in the preset area according to the user positioning data in the preset area and the resident location information of the users in the preset area includes: determining resident position information of a user in a preset area according to user positioning data in the preset area; acquiring resident position information of a user determined according to historical positioning data of the user in a preset area; and determining the users with inconsistent resident location information and resident location information as the users with resident locations, and counting the number of the users with resident locations in a preset area.
In a first aspect, an embodiment of the present disclosure provides a configuration apparatus for a public service resource, including: the acquisition unit is configured to acquire user positioning data in a preset area and resident position information of a user in the preset area; a first determining unit configured to determine the number of users residing in the non-residing location in the preset area according to the user positioning data in the preset area and the resident location information of the users in the preset area; a second determining unit configured to determine a total number of users residing in a preset area according to user positioning data in the preset area; a third determination unit configured to determine activity information of a preset area based on the number of users residing in the non-residing location within the preset area and the total number of users residing within the preset area; the allocation unit is configured to allocate corresponding public service resources for the preset area based on the activity information of the preset area.
In some embodiments, the apparatus further comprises: a screening unit configured to screen user positioning data within a preset time period from user positioning data within a preset area; the first determining unit is configured to determine the number of users residing in the non-residing position in the preset time period in the preset area according to the user positioning data in the preset time period; a second determining unit configured to determine a total number of users residing in a preset time period in a preset area based on the user positioning data in the preset time period; the third unit is configured to: the activity information of the preset area in the preset time period is determined based on the number of users in the preset area and residing in the non-resident position in the preset time period and the total number of users in the preset area and residing in the preset time period.
In some embodiments, the above-described dispensing unit is configured to: and configuring public service resources corresponding to each preset time period for the preset area based on the activity information of the preset area in at least two preset time periods and the schedulable public service resources of the preset area.
In some embodiments, the above-described dispensing unit is configured to: in response to determining that the activity information of the preset area does not meet the preset activity condition, acquiring public service resource configuration information of a target area of which the activity information meets the preset activity condition; and configuring public service resources for the preset area based on the public service resource configuration information of the target area.
In some embodiments, the first determining unit is configured to determine the number of users residing in the non-resident location in the preset area as follows: determining resident position information of a user in a preset area according to user positioning data in the preset area; acquiring resident position information of a user determined according to historical positioning data of the user in a preset area; and determining the users with inconsistent resident location information and resident location information as the users with resident locations, and counting the number of the users with resident locations in a preset area.
In a third aspect, embodiments of the present disclosure provide an electronic device, comprising: one or more processors; and a storage means for storing one or more programs which, when executed by the one or more processors, cause the one or more processors to implement the method of configuring common service resources as provided in the first aspect.
In a fourth aspect, embodiments of the present disclosure provide a computer readable medium having a computer program stored thereon, wherein the program when executed by a processor implements the method of configuring public service resources provided by the first aspect.
According to the public service resource configuration method and device, the user positioning data in the preset area and the resident position information of the users in the preset area are obtained, then the number of the users resident in the non-resident positions in the preset area is determined according to the user positioning data in the preset area and the resident position information of the users in the preset area, then the total number of the users resident in the preset area is determined according to the user positioning data in the preset area, then the activity information of the preset area is determined based on the number of the users resident in the non-resident positions in the preset area and the total number of the users resident in the preset area, finally the corresponding public service resources are configured for the preset area based on the activity information of the preset area, and the public service resources can be distributed according to the measurement result of the crowd activity of the area, so that reasonable configuration of the public service resources is achieved. In addition, the number of users with areas residing in the very resident positions can be obtained based on a large number of user positioning data, and the liveness measurement result can be accurately and efficiently obtained, so that the accuracy and the instantaneity of public service resource allocation are improved.
Drawings
Other features, objects and advantages of the present disclosure will become more apparent upon reading of the detailed description of non-limiting embodiments, made with reference to the following drawings:
FIG. 1 is an exemplary system architecture diagram in which embodiments of the present disclosure may be applied;
FIG. 2 is a flow chart of one embodiment of a method of configuration of a common service resource according to the present disclosure;
FIG. 3 is a flow chart of another embodiment of a method of configuration of a common service resource according to the present disclosure;
FIG. 4 is a schematic structural diagram of one embodiment of a configuration apparatus of a common service resource of the present disclosure;
fig. 5 is a schematic diagram of a computer system suitable for use in implementing embodiments of the present disclosure.
Detailed Description
The present disclosure is described in further detail below with reference to the drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting of the invention. It should be noted that, for convenience of description, only the portions related to the present invention are shown in the drawings.
It should be noted that, without conflict, the embodiments of the present disclosure and features of the embodiments may be combined with each other. The present disclosure will be described in detail below with reference to the accompanying drawings in conjunction with embodiments.
Fig. 1 illustrates an exemplary system architecture 100 to which the methods of the present disclosure for training a super network or apparatuses for training a super network may be applied.
As shown in fig. 1, a system architecture 100 may include terminal devices 101, 102, 103, a network 104, and a server 105. The network 104 is used as a medium to provide communication links between the terminal devices 101, 102, 103 and the server 105. The network 104 may include various connection types, such as wired, wireless communication links, or fiber optic cables, among others.
The terminal devices 101, 102, 103 may be user devices, such as mobile phones, tablet computers, and other hardware devices carried by users. The terminal devices 101, 102, 103 may also be software, for example, an application program with a positioning function installed in the above-mentioned user device, which may be implemented as a plurality of software or software modules (for example, a plurality of software or software modules for providing distributed services), or as a single software or software module. The present invention is not particularly limited herein.
The terminal devices 101, 102, 103 may interact with the server 105 via the network 104 to receive or send messages or the like. Specifically, in the application scenario of the present disclosure, the terminal device 101, 102, 103 may send positioning data to the server through the network 104, or the terminal device 101, 102, 103 may receive positioning data returned by the positioning server through the network 104.
The server 105 may be a server running various services, such as a server running a map navigation service, or a server running a search service. The server 105 may receive the positioning request sent by the terminal devices 101, 102, 103, acquire positioning data of the terminal devices 101, 102, 103 through the positioning service system, and feed back the positioning data to the terminal devices 101, 102, 103. Alternatively, the server 105 may receive the positioning data transmitted from the terminal devices 101, 102, 103, store the positioning data, perform navigation based on the positioning data, search for nearby POI (point of interest), and the like, and return the stored or processed result to the terminal devices 101, 102, 103.
Server 105 may also be a server running a common service resource configuration service. At this time, the server 105 may acquire positioning data of the terminal devices 101, 102, 103, perform region liveness measurement based on the positioning data, and then schedule or configure public service resources of the region according to the liveness measurement result. In some scenarios, the server 105 may retrieve stored location data of the terminal devices 101, 102, 103 from a database for a period of time, in which case the terminal devices 101, 102, 103 and the network 104 may not be included in the exemplary system architecture described above.
The server 105 may be hardware or software. When the server 105 is hardware, it may be implemented as a distributed server cluster formed by a plurality of servers, or as a single server. When server 105 is software, it may be implemented as multiple software or software modules (e.g., multiple software or software modules for providing distributed services), or as a single software or software module. The present invention is not particularly limited herein.
It should be noted that, the method for configuring the public service resource provided by the embodiment of the present disclosure is generally performed by the server 105, and accordingly, the device for configuring the public service resource is generally disposed in the server 105.
It should be understood that the number of terminal devices, networks and servers in fig. 1 is merely illustrative. There may be any number of terminal devices, networks, and servers, as desired for implementation.
With continued reference to fig. 2, a flow 200 of one embodiment of a method of configuring public service resources according to the present disclosure is shown. As shown in fig. 2, a flow 200 of the method for configuring public service resources in this embodiment includes the following steps:
step 201, obtaining user positioning data in a preset area and resident position information of a user in the preset area.
The preset area may be pre-designated with a determined geographical location range. In practice, the predetermined area may be, for example, an administrative area, such as a city of Beijing, shanghai, western America, etc., or an industrial park or business district, such as a Zhongguan scientific and technological park, a Xujia business district, etc.
User positioning data in a preset area can be acquired first. The user positioning data in the preset area are the positioning data of the position coordinates in the geographical position range corresponding to the preset area. The user location data may be obtained by an electronic device used by the user.
In practice, a user may authorize a location service to acquire location data when accessing a network using an electronic device. The execution body of the configuration method of the public service resource can acquire the user positioning data generated by the positioning service. Alternatively, when the user accesses a network access point (e.g., wiFi) using the electronic device, the location data of the user may be determined according to a geographic location corresponding to the network access point accessed by the user, or an IP (Internet Protocol ) address of the user.
It should be noted that, the electronic device used by the user may be a mobile electronic device, for example, a mobile phone carried by the user, a watch-only device, a mobile bracelet, and so on. The electronic device used by the user can also be a non-mobile electronic device with a positioning function, such as an intelligent sound box, a screen intelligent voice device, an intelligent television and the like used by the user, and when the user uses the non-mobile electronic device, the positioning data of the non-mobile electronic device can be obtained as the user positioning data at the current moment. In a practical scenario, when a user interacts with a non-mobile electronic device, for example, when talking with a smart speaker, the distance between the user and the interacting non-mobile electronic device is generally relatively short, and the location information of the non-mobile electronic device can be used to characterize the location information of the user.
In this embodiment, the resident location information of the user in the preset area may also be obtained. After the user positioning data in the preset area is acquired, the users in the preset area can be determined according to the associated user IDs (identities) and the like, so that the resident location information of the users can be acquired.
The resident location information of the user is location information of a geographical location where the user is resident or has a long residence time, and may include, for example, location information of a residence place and a work place of the user. The resident location information of the user may be stored in the user database in advance, and the execution body may search the resident location information of the user in the preset area in the user database stored in advance.
The resident location information of the user may also be obtained based on historical location data of the user. Specifically, a time distribution of residence of the user at different geographic locations may be analyzed for historical positioning data of the same user over a period of time (e.g., 3 months), and a geographic location where the residence time period of the user exceeds a preset time period and/or the residence frequency exceeds a preset frequency is determined to be a resident geographic location of the user. The resident geographic location may then be further analyzed as the user's residence, workplace, or other type of resident geographic location based on the point in time at which the user resides at the resident geographic location. For example, the geographic location where the user resides 9 late to 7 early the next day is the residence.
Optionally, the historical positioning data of each user in a period of time can be clustered by using a spatial clustering algorithm to obtain the resident cluster of each user. And extracting the position attribute characteristics of each resident cluster of each user (for example, the position is the position of a residential area or an office building), the user portrait of the user and other characteristics of each resident cluster of each user, classifying each resident cluster of each user by utilizing a classification algorithm to obtain the residence and the workplace of each user, and taking the residence and the workplace as the residence position information of the user.
Step 202, determining the number of users residing in the very residing positions in the preset area according to the user positioning data in the preset area and the resident position information of the users in the preset area.
The number of users in the preset area may be counted based on the user positioning data in the preset area. The number of the user identifications associated with the user positioning data in the preset area can be counted, and the statistics can be carried out in a time-division manner. Alternatively, in the statistics, the user positioning data may be deduplicated based on the user identification, for example, if the same user appears in two different locations within a preset area within one hour, the user is counted only once.
The resident location of the user may be removed from the statistical result according to the resident location information of the user, and only the number of users resident in the non-resident location may be counted. Specifically, whether the user resides in the non-resident location may be determined according to the positioning data of each user in the preset area, if so, 1 may be added to the number of users residing in the non-resident location in the preset area, and if it is determined according to the positioning data of the user that the user does not reside in the geographic location other than the non-resident location, the user does not count in the number of users residing in the non-resident location in the preset area.
It should be noted that the user residing in a certain geographic location may be the user visiting the geographic location, or the user staying in the certain geographic location for more than a predetermined period of time (e.g., 15 minutes). Because of possible errors in positioning data, the geographic location may be within a certain range around a coordinate, such as within 500 meters around a shopping mall, and within 1 km around a residential building.
Alternatively, the number of users residing in the very residing location within the preset area may be determined as follows:
firstly, determining the residence position information of a user in a preset area according to user positioning data in the preset area, specifically determining the position of the residence time of the user exceeding a preset duration as the residence position of the user according to the user positioning data, and acquiring the information such as the coordinates, the type and the like of the residence position of the user as the residence position information of the user.
And then, acquiring the resident location information of the user determined according to the historical location data of the user in the preset area. Here, the historical location data of the user may be extracted from the user database, and the historical location data of the user may be obtained for a historical period of time (e.g., for the last 3 months) to determine the user's trajectory point. And clustering the track points of the user, and classifying the clustered track point clusters to determine the resident position of the user.
And then, determining the users with inconsistent resident location information and resident location information as the users with resident locations, and counting the number of the users with resident locations in a preset area.
Step 203, determining the total number of the users residing in the preset area according to the user positioning data in the preset area.
The identification of the users residing in the preset area can be determined according to the user positioning data, and the total number of the users residing in the preset area is obtained through statistics after the user positioning data are de-duplicated according to the identification of the users. Wherein, whether the user resides in the preset area can be judged as follows: and determining whether the stay time of the user in the preset area exceeds a preset time threshold according to the user positioning data, and if the stay time of the user in the preset area exceeds the preset time threshold, determining that the user is the user resided in the preset area. By making the above determination on the users present in the preset area based on the user positioning data, it is possible to determine all the users residing in the preset area and obtain the total number of users residing in the preset area.
Step 204, determining activity information of the preset area based on the number of users residing in the non-resident location in the preset area and the total number of users residing in the preset area.
In this embodiment, the activity information of the preset area may be an activity index, which may be determined by a ratio of the number of users remaining in the very resident location in the preset area to the total number of users resident in the preset area. The greater the ratio, the higher the liveness characterized by the corresponding liveness information.
In an actual scenario, the higher the proportion of very resident users in the users residing in an area, the higher the user trip rate of the area. The liveness information may characterize the probability of a crowd of areas traveling outside of the residence.
Step 205, based on the activity information of the preset area, configuring corresponding public service resources for the preset area.
And configuring corresponding public service resources for the preset area according to the activity information of the preset area. The public service resource can be resources such as roads, traffic, electric power, building design and the like. Specifically, the public service resources of the preset area can be configured according to the preset corresponding configuration rule of the liveness information and the public service resources. In practice, the corresponding configuration rule may be set for the purpose of improving the travel convenience of the user and the convenience of activities such as shopping in the preset area, or may be set according to the desired activity information of the preset area.
As an example, the liveness index of a business district is 0.6 (maximum is 1), and a plurality of public transportation stations (such as bus stations and subway stations) can be configured in the business district according to a preset configuration rule, so as to facilitate the user to pass through, or a rest area, a literature landscape for the user to visit, or a corresponding catering or leisure shop can be planned in the business district. Thus, abundant and convenient public resources can be configured for the business district to promote convenience of travel, leisure or other activities of users.
In some alternative implementations, the common service resources may be configured as follows: in response to determining that the activity information of the preset area does not meet the preset activity condition, acquiring public service resource configuration information of a target area of which the activity information meets the preset activity condition; and configuring public service resources for the preset area based on the public service resource configuration information of the target area.
The preset liveness condition may include the liveness index reaching a preset threshold value. If the activity index of the preset area does not reach the preset threshold, other areas with the activity index reaching the preset threshold can be determined as target areas, and the public service resources of the preset area are configured according to the public service resource configuration information of the target areas. Therefore, the user activity of the preset area can be improved.
As another example, if the activity index of one city a is 0.2, the public service resource may be configured for the city a according to the preset configuration rule, referring to the public service resource configuration scheme of another city B with the activity index reaching 0.5. For example, the public transportation running time and the business shop planning scheme of the city A can be respectively set according to the public transportation running time and the business shop planning characteristics of the city B, so that convenience in traveling and other activities can be provided for users of the city A by configuring public service resources, and the activity of the city A is improved.
The above-mentioned preset liveness condition may further include that the liveness index is located before the preset number of times in the ranking of the plurality of areas, or that the liveness index is not reduced compared with the liveness index of the historical period, etc., which is not particularly limited by the present application.
Optionally, the portrait of the user in the preset area can be obtained, and public service resources are correspondingly configured according to the portrait of the user and the activity information of the preset area. The group demand of the users in the preset area can be determined according to the portrait of the users in the preset area, the satisfaction degree of the group demand of the users is judged by combining the liveness information, and if the satisfaction degree of the group demand of the users does not reach the preset target satisfaction degree, public service resources meeting the group demand of the users are configured.
A trained machine learning model (e.g., a neural network model) may also be employed to predict demand information for various types of public service resources within a preset area based on liveness information and a user's image. If the requirement information determines that the requirement index of the user in the preset area for a certain type of public service resource is higher, the public service resource of the type is configured for the preset area.
According to the public service resource configuration method, the user positioning data in the preset area and the resident position information of the users in the preset area are obtained, then the number of users resident in the non-resident positions in the preset area is determined according to the user positioning data in the preset area and the resident position information of the users in the preset area, then the total number of users resident in the preset area is determined according to the user positioning data in the preset area, then the activity information of the preset area is determined according to the number of users resident in the non-resident positions in the preset area and the total number of users resident in the preset area, and finally the corresponding public service resources are configured for the preset area according to the activity measurement results of the crowd in the area, so that reasonable configuration of the public service resources is achieved. The method can be used for efficiently and accurately measuring the activity of the area based on the positioning data, so that the efficiency and the accuracy of public service resource allocation are improved.
With continued reference to fig. 3, a flow 300 of another embodiment of a method of configuring public service resources according to the present disclosure is shown. As shown in fig. 3, a flow 300 of the method for configuring public service resources in this embodiment includes the following steps:
step 301, obtaining user positioning data in a preset area and resident position information of a user in the preset area.
Step 301 of this embodiment corresponds to step 201 of the foregoing embodiment, and the specific implementation of step 301 may refer to the description of step 201, which is not repeated here.
Step 302, screening out the user positioning data in a preset time period from the user positioning data in the preset area.
The positioning data includes positioning time and positioning coordinates. In this embodiment, the user positioning data in the preset time period may be screened from the user positioning data acquired in step 301 according to the positioning time.
It should be noted that the preset time period may be a continuous time period. A plurality of preset time periods may be preset, and in this embodiment, the corresponding activity information may be calculated and the public service resource configuration may be performed for each preset time period.
Here, the preset time period may be a designated time period, for example, a weekday-evening time period (e.g., 19 to 23 late), or a holiday such as a spring festival holiday, a weekend, or the like.
Step 303, determining the number of users residing in the very residing position in the preset area in the preset time period according to the user positioning data in the preset area and the resident position information of the users in the preset area.
The number of users residing in the preset time period in the preset area can be counted based on the screened user positioning data in the preset time period. In the statistics, the positioning data of the user can be de-duplicated according to the user identification, for example, the same user appears at two different positions in a preset area within one hour, and the user is counted only once.
The identification of the user residing in the preset area in the preset time period can be obtained, and the resident location information of the corresponding user can be searched according to the identification of the user. The resident location information may be derived based on historical location data analysis of the user. The resident location may be a location where the residence time of a user is long, such as a residence, workplace, etc.
The number of users residing in the non-resident location within the preset area for a preset period of time may be counted as follows: and deleting the users residing in the resident positions in the preset time period from the statistical results of the users residing in the preset time period in the preset area to obtain the number of the users residing in the non-resident positions in the preset time period in the preset area.
Step 304, determining the total number of users residing in the preset time period in the preset area according to the user positioning data in the preset area and the preset time period.
The number of resident users in the preset time period in the preset area can be counted according to the user positioning data in the preset time period screened in the step 302, and duplicate removal can be performed according to the user identification during counting.
Step 305, determining activity information of the preset area in the preset time period based on the number of users residing in the non-resident position in the preset area in the preset time period and the total number of users residing in the preset area in the preset time period.
Similar to step 204 of the foregoing embodiment, the activity information of the preset area in the preset time period may be determined according to a ratio of the number of users residing in the non-resident location in the preset time period to the total number of users residing in the preset area in the preset time period.
Step 306, based on the activity information of the preset area in the preset time period, configuring corresponding public service resources for the preset area.
The specific implementation manner of step 306 may refer to step 205 of the foregoing embodiment, and specifically may configure the corresponding public service resource according to the activity information based on a preset public service resource configuration rule.
Alternatively, when the public service resource is configured, the differential configuration may be performed in combination with the above-mentioned preset period. Corresponding public service resource allocation schemes may be set in advance for different preset time periods, for example, when the preset time periods are the evening period and the long-false period of the working day respectively, the running time of the vehicles for allocating public transportation is different.
According to the method and the device, the user positioning data of the preset time period are screened, the activity of the preset area is measured for the preset time period, the measurement result of the user activity condition with time characteristics can be obtained more accurately, further public service resources can be configured for unused time periods more finely, and the rationality of the public service resources is further improved.
In some optional implementations of the above configuration method of public service resources, the public service resources may be configured as follows: and configuring public service resources corresponding to each preset time period for the preset area based on the activity information of the preset area in at least two preset time periods and the schedulable public service resources of the preset area.
In an actual scene, the activities of an area in different time periods are different, and when public service resources are configured, the schedulable public service resources of the area can be reasonably scheduled according to the different time periods. For example, more public service resources may be configured in a period of higher activity and fewer public service resources may be configured in a period of lower activity to accommodate user demands in different periods. Or, according to the ratio of the liveness indexes of different time periods, the schedulable public service resources are correspondingly configured according to the ratio. Wherein the schedulable public service resources are schedulable or adjustable public service resources such as quantity, time, etc., e.g. power supply, public transportation, etc.
Referring to fig. 4, as an implementation of the above-mentioned method for configuring a public service resource, the present disclosure provides an embodiment of a device for configuring a public service resource, where an embodiment of the device corresponds to the method embodiment shown in fig. 2 and 3, and the device may be specifically applied to various electronic devices.
As shown in fig. 4, the configuration apparatus 400 of the common service resource of the present embodiment includes an acquisition unit 401, a first determination unit 402, a second determination unit 403, a third determination unit 403, and an allocation unit 405. Wherein, the obtaining unit 401 is configured to obtain user positioning data in a preset area and resident location information of a user in the preset area; the first determining unit 402 is configured to determine the number of users residing in the non-residing location in the preset area according to the user positioning data in the preset area and the resident location information of the users in the preset area; the second determining unit 403 is configured to determine the total number of users residing in the preset area according to the user positioning data in the preset area; the third determining unit 404 is configured to determine activity information of the preset area based on the number of users residing in the non-residing location within the preset area and the total number of users residing within the preset area; the allocation unit 405 is configured to allocate corresponding public service resources for the preset area based on the activity information of the preset area.
In some embodiments, the apparatus further comprises: a screening unit configured to screen user positioning data within a preset time period from user positioning data within a preset area; and the first determining unit 402 is configured to determine, according to the user positioning data in the preset time period, the number of users residing in the non-resident location in the preset area in the preset time period; the second determining unit 403 is configured to determine, based on the user positioning data in the preset time period, a total number of users residing in the preset area in the preset time period; the third unit 404 is configured to: the activity information of the preset area in the preset time period is determined based on the number of users in the preset area and residing in the non-resident position in the preset time period and the total number of users in the preset area and residing in the preset time period.
In some embodiments, the above-described dispensing unit 405 is configured to: and configuring public service resources corresponding to each preset time period for the preset area based on the activity information of the preset area in at least two preset time periods and the schedulable public service resources of the preset area.
In some embodiments, the above-described dispensing unit 405 is configured to: in response to determining that the activity information of the preset area does not meet the preset activity condition, acquiring public service resource configuration information of a target area of which the activity information meets the preset activity condition; and configuring public service resources for the preset area based on the public service resource configuration information of the target area.
In some embodiments, the first determining unit 402 is configured to determine the number of users residing in the non-resident location in the preset area as follows: determining resident position information of a user in a preset area according to user positioning data in the preset area; acquiring resident position information of a user determined according to historical positioning data of the user in a preset area; and determining the users with inconsistent resident location information and resident location information as the users with resident locations, and counting the number of the users with resident locations in a preset area.
The units in the above-described apparatus 400 correspond to the steps in the method described with reference to fig. 2 and 3. Thus, the operations, features and technical effects that can be achieved by the above description of the configuration method for the public service resource are also applicable to the apparatus 400 and the units contained therein, which are not described herein again.
Referring now to fig. 5, a schematic diagram of an electronic device (e.g., the server shown in fig. 1) 500 suitable for use in implementing embodiments of the present disclosure is shown. The electronic device shown in fig. 5 is merely an example and should not impose any limitations on the functionality and scope of use of embodiments of the present disclosure.
As shown in fig. 5, the electronic device 500 may include a processing means (e.g., a central processing unit, a graphics processor, etc.) 501, which may perform various appropriate actions and processes according to a program stored in a Read Only Memory (ROM) 502 or a program loaded from a storage means 508 into a Random Access Memory (RAM) 503. In the RAM503, various programs and data required for the operation of the electronic apparatus 500 are also stored. The processing device 501, the ROM 502, and the RAM503 are connected to each other via a bus 504. An input/output (I/O) interface 505 is also connected to bus 504.
In general, the following devices may be connected to the I/O interface 505: input devices 506 including, for example, a touch screen, touchpad, keyboard, mouse, camera, microphone, accelerometer, gyroscope, etc.; an output device 507 including, for example, a Liquid Crystal Display (LCD), a speaker, a vibrator, and the like; storage 508 including, for example, a hard disk; and communication means 509. The communication means 509 may allow the electronic device 500 to communicate with other devices wirelessly or by wire to exchange data. While fig. 5 shows an electronic device 500 having various means, it is to be understood that not all of the illustrated means are required to be implemented or provided. More or fewer devices may be implemented or provided instead. Each block shown in fig. 5 may represent one device or a plurality of devices as needed.
In particular, according to embodiments of the present disclosure, the processes described above with reference to flowcharts may be implemented as computer software programs. For example, embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method shown in the flowcharts. In such an embodiment, the computer program may be downloaded and installed from a network via the communication means 509, or from the storage means 508, or from the ROM 502. The above-described functions defined in the methods of the embodiments of the present disclosure are performed when the computer program is executed by the processing device 501. It should be noted that the computer readable medium described in the embodiments of the present disclosure may be a computer readable signal medium or a computer readable storage medium or any combination of the two. The computer readable storage medium can be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples of the computer-readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In an embodiment of the present disclosure, 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. Whereas in embodiments of the present disclosure, the computer-readable signal medium may comprise a data signal propagated in baseband or as part of a carrier wave, with computer-readable program code embodied therein. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination of the foregoing. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: electrical wires, fiber optic cables, RF (radio frequency), and the like, or any suitable combination of the foregoing.
The computer readable medium may be contained in the electronic device; or may exist alone without being incorporated into the electronic device. The computer readable medium carries one or more programs which, when executed by the electronic device, cause the electronic device to: acquiring user positioning data in a preset area and resident position information of a user in the preset area; determining the number of users residing in the very residing positions in the preset area according to the user positioning data in the preset area and the residing position information of the users in the preset area; determining the total number of the users residing in the preset area according to the user positioning data in the preset area; determining activity information of a preset area based on the number of users residing in the non-residing position in the preset area and the total number of users residing in the preset area; and configuring corresponding public service resources for the preset area based on the activity information of the preset area.
Computer program code for carrying out operations of embodiments of the present disclosure may be written in one or more programming languages, including an object oriented programming language such as Java, smalltalk, C ++ and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computer (for example, through the Internet using an Internet service provider).
The flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The units involved in the embodiments described in the present disclosure may be implemented by means of software, or may be implemented by means of hardware. The described units may also be provided in a processor, for example, described as: a processor includes an acquisition unit, a first determination unit, a second determination unit, a third determination unit, and an allocation unit. The names of these units do not constitute a limitation on the unit itself in some cases, and for example, the acquisition unit may also be described as "a unit that acquires user positioning data within a preset area, and resident location information of a user within the preset area".
The foregoing description is only of the preferred embodiments of the present disclosure and description of the principles of the technology being employed. It will be appreciated by those skilled in the art that the scope of the application referred to in this disclosure is not limited to the specific combination of features described above, but encompasses other embodiments in which features described above or their equivalents may be combined in any way without departing from the spirit of the application. Such as the above-mentioned features and the technical features disclosed in the present application (but not limited to) having similar functions are replaced with each other.
Claims (12)
1. A method for configuring public service resources, comprising:
acquiring user positioning data in a preset area and resident position information of a user in the preset area;
determining the number of users residing in the very residing positions in the preset area according to the user positioning data in the preset area and the resident position information of the users in the preset area;
determining the total number of users residing in the preset area according to the user positioning data in the preset area;
determining activity information of the preset area based on the number of users residing in the non-residing position in the preset area and the total number of users residing in the preset area;
And configuring corresponding public service resources for the preset area based on the activity information of the preset area.
2. The method of claim 1, wherein the method further comprises:
screening out the user positioning data in a preset time period from the user positioning data in the preset area; and
the determining the number of the users residing in the non-residing position in the preset area comprises the following steps: determining the number of users residing in the non-resident position in the preset time period in the preset area;
the determining the total number of the users residing in the preset area comprises the following steps: determining the total number of users residing in the preset time period in the preset area;
the determining the activity information of the preset area based on the number of the users residing in the non-residing position in the preset area and the total number of the users residing in the preset area comprises the following steps:
and determining the activity information of the preset area in the preset time period based on the number of the users in the preset area and residing in the non-resident position in the preset time period and the total number of the users in the preset area and residing in the preset time period.
3. The method of claim 2, wherein the configuring the corresponding public service resource for the preset area based on the activity information of the preset area includes:
And configuring public service resources corresponding to each preset time period for the preset area based on the activity information of the preset area in at least two preset time periods and the schedulable public service resources of the preset area.
4. The method of claim 1, wherein the configuring the corresponding public service resource for the preset area based on the activity information of the preset area includes:
in response to determining that the activity information of the preset area does not meet a preset activity condition, acquiring public service resource configuration information of a target area of which the activity information meets the preset activity condition;
and configuring public service resources for the preset area based on the public service resource configuration information of the target area.
5. The method according to any one of claims 1-4, wherein the determining the number of users residing in the non-resident location in the preset area according to the user positioning data in the preset area and the resident location information of the users in the preset area includes:
determining resident position information of a user in the preset area according to the user positioning data in the preset area;
Acquiring resident position information of a user determined according to historical positioning data of the user in the preset area;
and determining the users inconsistent with the resident location information as the users resident in the non-resident locations, and counting the number of the users resident in the non-resident locations in the preset area.
6. A configuration apparatus of a public service resource, comprising:
an acquisition unit configured to acquire user positioning data in a preset area and resident location information of a user in the preset area;
a first determining unit configured to determine the number of users residing in a very resident location in the preset area according to the user positioning data in the preset area and the resident location information of the users in the preset area;
a second determining unit configured to determine a total number of users residing in the preset area according to the user positioning data in the preset area;
a third determining unit configured to determine activity information of the preset area based on the number of users residing in the non-residing location within the preset area and the total number of users residing within the preset area;
The allocation unit is configured to allocate corresponding public service resources for the preset area based on the activity information of the preset area.
7. The apparatus of claim 6, wherein the apparatus further comprises:
a screening unit configured to screen user positioning data within a preset time period from the user positioning data within the preset area; and
the first determining unit is configured to determine the number of users residing in the non-resident position in the preset time period in the preset area according to the user positioning data in the preset time period;
the second determining unit is configured to determine the total number of users residing in the preset time period in the preset area based on the user positioning data in the preset time period;
the third determination unit is configured to: and determining the activity information of the preset area in the preset time period based on the number of the users in the preset area and residing in the non-resident position in the preset time period and the total number of the users in the preset area and residing in the preset time period.
8. The apparatus of claim 7, wherein the allocation unit is configured to:
And configuring public service resources corresponding to each preset time period for the preset area based on the activity information of the preset area in at least two preset time periods and the schedulable public service resources of the preset area.
9. The apparatus of claim 6, wherein the allocation unit is configured to:
in response to determining that the activity information of the preset area does not meet a preset activity condition, acquiring public service resource configuration information of a target area of which the activity information meets the preset activity condition;
and configuring public service resources for the preset area based on the public service resource configuration information of the target area.
10. The apparatus according to any one of claims 6-9, wherein the first determining unit is configured to determine the number of users residing in the very residing location within the preset area as follows:
determining resident position information of a user in the preset area according to the user positioning data in the preset area;
acquiring resident position information of a user determined according to historical positioning data of the user in the preset area;
and determining the users inconsistent with the resident location information as the users resident in the non-resident locations, and counting the number of the users resident in the non-resident locations in the preset area.
11. An electronic device, comprising:
one or more processors;
storage means for storing one or more programs,
the one or more programs, when executed by the one or more processors, cause the one or more processors to implement the method of any of claims 1-5.
12. A computer readable medium having stored thereon a computer program, wherein the program when executed by a processor implements the method of any of claims 1-5.
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