CN108427679B - People stream distribution processing method and equipment thereof - Google Patents

People stream distribution processing method and equipment thereof Download PDF

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CN108427679B
CN108427679B CN201710076890.8A CN201710076890A CN108427679B CN 108427679 B CN108427679 B CN 108427679B CN 201710076890 A CN201710076890 A CN 201710076890A CN 108427679 B CN108427679 B CN 108427679B
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information
user
neighborhood
block
preset
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CN108427679A (en
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孙福宁
孟凡超
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Tencent Technology Shenzhen Co Ltd
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Tencent Technology Shenzhen Co Ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90Details of database functions independent of the retrieved data types
    • G06F16/95Retrieval from the web
    • G06F16/953Querying, e.g. by the use of web search engines
    • G06F16/9537Spatial or temporal dependent retrieval, e.g. spatiotemporal queries
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/29Geographical information databases

Abstract

The embodiment of the invention discloses a people stream distribution processing method and equipment thereof, wherein the method comprises the following steps: acquiring a target user identifier corresponding to pre-recorded user positioning information containing a target POI; acquiring residence location information corresponding to the target user identification, and acquiring block information to which the residence location information belongs; and marking the block information in an electronic map by adopting a preset marking mode so as to generate people flow distribution information corresponding to the target POI. By adopting the invention, the people stream distribution information aiming at the POI can be automatically generated according to the positioning information, so that the manpower resource and the consumed time are saved, the accuracy of the people stream distribution information is ensured, and the generation efficiency of the people stream distribution information is improved.

Description

People stream distribution processing method and equipment thereof
Technical Field
The invention relates to the technical field of computers, in particular to a people stream distribution processing method and equipment.
Background
With the continuous development and improvement of computer technology, electronic maps have been widely used in different life scenes, such as: route navigation, congestion degree viewing, and viewing related Information Points (POI) and the like. The POI may contain information such as name, category, latitude and longitude, for example: restaurants, hotels, shopping malls, etc., in order to better provide service modes for different POIs, for example: for example, distribution, POI-related information distribution, etc., staff often set the people flow distribution information for the POI according to experience values, for example: and taking the position of the POI as a center, and taking a circular area drawn according to a certain radius as people stream distribution information and the like. However, the human drawing method has strong subjectivity, so that the accuracy of the determined people flow distribution information is low, more human resources need to be consumed, and the generation efficiency of the people flow distribution information is reduced.
Disclosure of Invention
The embodiment of the invention provides a people stream distribution processing method and equipment thereof, which can automatically generate people stream distribution information aiming at POI according to positioning information, save human resources and time, ensure the accuracy of the people stream distribution information and improve the generation efficiency of the people stream distribution information.
A first aspect of an embodiment of the present invention provides a people stream distribution processing method, which may include:
acquiring a target user identifier corresponding to pre-recorded user positioning information containing a target POI;
acquiring residence location information corresponding to the target user identification, and acquiring block information to which the residence location information belongs;
and marking the block information in an electronic map by adopting a preset marking mode so as to generate people flow distribution information corresponding to the target POI.
A second aspect of an embodiment of the present invention provides a people stream distribution processing apparatus, which may include:
the identification acquisition unit is used for acquiring a target user identification corresponding to the pre-recorded user positioning information containing the target POI;
the block information acquisition unit is used for acquiring the residence location information corresponding to the target user identification and acquiring the block information to which the residence location information belongs;
and the distribution information generating unit is used for marking the block information in an electronic map by adopting a preset marking mode so as to generate the people flow distribution information corresponding to the target POI.
In the embodiment of the invention, the pre-recorded target user identification containing the user positioning information of the target POI is obtained, the living place position information corresponding to the target user identification can be further obtained, the block information to which the living place position information belongs is obtained, and the block information is marked in the electronic map so as to generate the people flow distribution information corresponding to the target POI. The stay track at the POI can be determined by recording the user positioning information at the POI, the user distribution situation of the POI can be determined by acquiring the residence position information corresponding to the user identification, and the residence position information is divided by the block to which the user identification belongs, so that the people stream distribution information corresponding to the POI is generated, the people stream distribution information aiming at the POI is automatically generated according to the positioning information, the human resources and the time consumption are saved, the accuracy of the people stream distribution information is ensured, and the generation efficiency of the people stream distribution information is improved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic flow chart of a people flow distribution processing method according to an embodiment of the present invention;
fig. 2 is a schematic flow chart of another people flow distribution processing method according to an embodiment of the present invention;
fig. 3 is a schematic diagram illustrating an example of a people flow distribution process according to an embodiment of the present invention;
fig. 4 is a schematic structural diagram of a people flow distribution processing device according to an embodiment of the present invention;
fig. 5 is a schematic structural diagram of another people flow distribution processing device provided in an embodiment of the present invention;
fig. 6 is a schematic structural diagram of an identifier obtaining unit according to an embodiment of the present invention;
fig. 7 is a schematic structural diagram of a neighborhood information obtaining unit according to an embodiment of the present invention;
fig. 8 is a schematic structural diagram of a distribution information generating unit according to an embodiment of the present invention;
fig. 9 is a schematic structural diagram of another people flow distribution processing device according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The people stream distribution processing method provided by the embodiment of the invention can be applied to scenes for counting and displaying the people stream distribution of the POI, such as: the method comprises the steps that people flow distribution processing equipment obtains a target user identification corresponding to user positioning information which is recorded in advance and contains a target information point POI, the people flow distribution processing equipment obtains residence location information corresponding to the target user identification and obtains block information to which the residence location information belongs, and the people flow distribution processing equipment marks the block information in an electronic map in a preset marking mode to generate scenes and the like of the people flow distribution information corresponding to the target POI. The stay track at the POI can be determined by recording the user positioning information at the POI, the user distribution situation aiming at the POI can be determined by acquiring the residence position information corresponding to the user identification, and the residence position information is divided by the affiliated block, so that the people flow distribution information corresponding to the POI is generated, the people flow distribution information aiming at the POI is automatically generated according to the positioning information, the manpower resource and the consumed time are saved, the accuracy of the people flow distribution information is ensured, and the generation efficiency of the people flow distribution information is improved.
The people flow distribution processing equipment related to the embodiment of the invention can be specifically background service equipment for positioning application; the positioning application is specifically used for acquiring positioning information of the user terminal; the user terminal can be a terminal device with a positioning function, such as a tablet computer, a smart phone, a palm computer and Mobile Internet Device (MID); the electronic map may be a map displayed on each of the terminal devices, and may specifically include any one of a digital map, a satellite map, a panoramic map, and the like.
The people flow distribution processing method provided by the embodiment of the invention will be described in detail below with reference to fig. 1 to 3.
Referring to fig. 1, a flow chart of a people flow distribution processing method according to an embodiment of the present invention is schematically shown. As shown in fig. 1, the method of the embodiment of the present invention may include the following steps S101 to S103.
S101, acquiring a target user identifier corresponding to pre-recorded user positioning information containing a target POI;
specifically, the people flow distribution processing device may obtain a target user identifier corresponding to the pre-recorded user positioning information including the target POI, and it may be understood that, when the user uses a positioning application in the user terminal, for example: navigation, searching POI and the like, a user terminal can acquire current user positioning information based on positioning application, the user positioning information is information recorded with the position of a current user, the user terminal can upload the user positioning information to people stream distribution processing equipment based on user identification distributed when the positioning application is registered in advance, the people stream distribution processing equipment records the user identification and the user positioning information, preferably, the people stream distribution processing equipment can respectively set a database for different user identifications and is used for respectively storing the user positioning information of the user identifications. When people flow distribution information of a certain POI needs to be acquired, the people flow distribution processing equipment can search pre-recorded user positioning information containing a target POI and acquire a target user identification corresponding to the user positioning information containing the target POI. The user positioning information may include positioning coordinates and a positioning record, where the positioning record is specifically used for positioning behavior information recorded in time-sharing manner according to the positioning coordinates.
S102, acquiring residence location information corresponding to the target user identification, and acquiring block information to which the residence location information belongs;
specifically, the people flow distribution processing device acquires the residence position information corresponding to the target user identifier, and it can be understood that the people flow distribution processing device may store the residence position information of different user identifiers in advance, the residence position information may be position information input by itself when the user terminal registers the positioning application, or may be position information obtained by analyzing the positioning information of the user identifier acquired based on history in a specific period, and the specific period may be a time period in which the user identifier is located in the residence with a high probability such as night and weekend.
The people flow distribution processing device may further store neighborhood division information in advance, the neighborhood division information may include neighborhood information such as a neighborhood name, a neighborhood position, and neighborhood data, and the people flow distribution processing device may acquire, based on the neighborhood division information, neighborhood information to which the residential location information of the target user identifier belongs.
S103, marking the block information in an electronic map in a preset marking mode to generate people stream distribution information corresponding to the target POI;
specifically, the people flow distribution processing equipment can mark the block information in a preset electronic map by adopting a preset marking mode, wherein the preset marking mode can comprise line styles, colors, thicknesses and the like.
In the embodiment of the invention, the pre-recorded target user identification containing the user positioning information of the target POI is obtained, the living place position information corresponding to the target user identification can be further obtained, the block information to which the living place position information belongs is obtained, and the block information is marked in the electronic map so as to generate the people flow distribution information corresponding to the target POI. The stay track at the POI can be determined by recording the user positioning information at the POI, the user distribution situation of the POI can be determined by acquiring the residence position information corresponding to the user identification, and the residence position information is divided by the block to which the user identification belongs, so that the people stream distribution information corresponding to the POI is generated, the people stream distribution information aiming at the POI is automatically generated according to the positioning information, the human resources and the time consumption are saved, the accuracy of the people stream distribution information is ensured, and the generation efficiency of the people stream distribution information is improved.
Referring to fig. 2, a schematic flow chart of another people flow distribution processing method according to an embodiment of the present invention is provided. As shown in fig. 2, the method of the embodiment of the present invention may include the following steps S201 to S208.
S201, recording at least one user identifier of user positioning information existing in a target POI;
specifically, the people flow distribution processing device may record at least one user identifier indicating that user positioning information exists for a target POI, where the target POI is specifically a POI coordinate of the target POI, and if a distance between a positioning coordinate in the user positioning information and the POI coordinate is less than or equal to a preset distance threshold, the people flow distribution processing device may determine that the user positioning information exists in the target POI.
It will be appreciated that when a user uses a positioning application in a user terminal, for example: navigation, searching POI and the like, a user terminal can acquire current user positioning information based on positioning application, the user positioning information is information recorded with the position of a current user, the user terminal can upload the user positioning information to people stream distribution processing equipment based on user identification distributed when the positioning application is registered in advance, the people stream distribution processing equipment records the user identification and the user positioning information, preferably, the people stream distribution processing equipment can respectively set a database for different user identifications and is used for respectively storing the user positioning information of the user identifications. When people stream distribution information of a certain POI needs to be acquired, the people stream distribution processing equipment can record at least one user identifier of user positioning information existing in a target POI. The user positioning information may include positioning coordinates and a positioning record, where the positioning record is specifically used for positioning behavior information recorded in time-sharing manner according to the positioning coordinates.
S202, acquiring a target user identifier of which the user positioning information meets a preset stay state from at least one user identifier;
specifically, the people flow distribution processing device may obtain, from the at least one user identifier, a target user identifier whose user positioning information satisfies a preset stay state, where the preset stay state may be that the number of times of positioning in the user positioning information is greater than or equal to a preset number of times, or that the length of time of positioning in the user positioning information is greater than or equal to a preset length of time, and preferably, the positioning record in the user positioning information may be specifically represented by an array, and the positioning behavior information is recorded according to a preset time period, for example: taking day as a unit, the array may be a 24-bit array, which respectively represents 24 hours in a day, when it is detected that the user positioning information exists at the target POI at any time from 8 hours to 8 hours 59 minutes, the 8 th bit in the array may be set to "1", and corresponding positions in the array are all set to "0" at other whole points where the user positioning information exists at the target POI, and the like, the positioning times or the positioning duration may be obtained through the positioning record, and the number of "1" in the positioning record is obtained for the positioning times, and the positioning times at the target POI may be determined, for example: if 3 '1's exist in the array, the number of positioning times at the target POI is 3, and the like; for the positioning duration, obtaining the bit number difference of "1" continuously appearing in the positioning record, the positioning duration at the target POI can be determined, for example: the presence of 2 consecutive "1" s in the array at the 8 th and 10 th bits of the array, respectively, indicates that the current positioning time at the target POI is 2 hours, etc. The people flow distribution processing device may obtain, from the at least one user identifier, a target user identifier whose positioning times are greater than or equal to a preset time, or a target user identifier whose positioning duration is greater than or equal to a preset duration, where the preset times and the preset duration may be set according to an empirical value. By screening the user identification based on the positioning times or the positioning duration, the user group with the actual stay behavior in the POI can be accurately excavated, and the accuracy of the people flow distribution information is further improved.
S203, classifying the target user identification according to the times meeting the preset stay state to generate at least one type of identification;
specifically, the people flow distribution processing device may further classify the obtained target user identifier, and the people flow distribution processing device may classify the target user identifier according to the number of times that the preset staying state is satisfied, so as to generate at least one type of identifier, it may be understood that the people flow distribution processing device may count the number of times that each target user identifier satisfies the preset staying state within a preset time interval, for example: counted once every month, and the like. By classifying the user identifications by adopting the times of the preset stay state, different user groups covered by the POI can be identified, and the passenger flow analysis and comparison of the working personnel of the POI are facilitated, so that the service mode of the POI is more targeted. Preferably, the people flow distribution processing device may set a target user identifier, for which the number of times that the user location information satisfies the preset stay state is greater than or equal to a first number, as a first type identifier, the people flow distribution processing device may set a target user identifier, for which the number of times that the user location information satisfies the preset stay state is smaller than the first number and greater than or equal to a second number, as a second type identifier, the people flow distribution processing device may set a target user identifier, for which the number of times that the user location information satisfies the preset stay state is smaller than the second number and greater than or equal to a third number, as a third type identifier, wherein the first number is greater than the second number, the second number is greater than the third number, and the first type identifier, the second type identifier, and the third type identifier respectively represent user groups with different activity degrees, for example: a first class of identification represents loyal users of the target POI, a second class of identification represents active users of the target POI, a third class of identification represents ordinary users of the target POI, and so on.
It should be noted that the user identifiers classified into three categories are only examples, and the specific category number, the first time, the second time, and the third time may be adaptively adjusted according to different implementation scenarios or requirements of the staff.
S204, acquiring first residence position information corresponding to the first type of identification, acquiring second residence position information corresponding to the second type of identification, and acquiring third residence position information corresponding to the third type of identification;
specifically, according to the above classification, the people flow distribution processing device may obtain the first residence location information corresponding to the first type of identifier, obtain the second residence location information corresponding to the second type of identifier, and obtain the third residence location information corresponding to the third type of identifier, it may be understood that the people flow distribution processing device may have the residence location information of different user identifiers stored in advance, the residence location information may be location information input by itself when the user terminal registers the positioning application, or may be location information obtained by analyzing the positioning information of the user identifier obtained based on history in a specific time period, and the specific time period may be a time period in which a large probability of night, weekend, and the like is located in the residence.
S205, acquiring first block information to which the first residence location information belongs, acquiring second block information to which the second residence location information belongs, and acquiring third block information to which the third residence location information belongs;
specifically, the people flow distribution processing device may further acquire first neighborhood information to which the first residential location position information belongs, acquire second neighborhood information to which the second residential location position information belongs, and acquire third neighborhood information to which the third residential location position information belongs, and the people flow distribution processing device may further store neighborhood division information in advance, where the neighborhood division information may include neighborhood information such as a neighborhood name, a neighborhood position, and neighborhood plane data.
S206, generating a first block set containing the first block information, generating a second block set containing the first block information and second block information, and generating a third block set containing the first block information, second block information and third block information;
specifically, the people flow distribution processing device may generate a first block set including the first block information, generate a second block set including the first block information and the second block information, and generate a third block set including the first block information, the second block information, and the third block information, and by setting different block sets, inheritance of block coverage can be ensured, for example: the third neighborhood set simultaneously contains neighborhood information of the loyalty users, the active users and the common users of the target POI, the second neighborhood set simultaneously contains neighborhood information of the loyalty users and the active users of the target POI, and the first neighborhood set contains neighborhood information of the loyalty users of the target POI.
It can be understood that the people flow distribution processing device may count the user amount of each street area information first when acquiring the first street area information, the second street area information, and the third street area information, and the people flow distribution processing device may be preset with a first user amount threshold, a second user amount threshold, and a third user amount threshold, and respectively remove the street area information in which the user amount in the first street area information is smaller than the first user amount threshold, the street area information in which the user amount in the second street area information is smaller than the second user amount threshold, and the street area information in which the user amount in the third street area information is smaller than the third user amount threshold. Wherein the third user quantity threshold is greater than the second user quantity threshold, and the second user quantity threshold is greater than the first user quantity threshold. By adopting the user quantity threshold value to filter the block information, the block information with less number of people can be removed, the effectiveness of the screened block information is ensured, and the accuracy of the people flow distribution information is further improved.
S207, merging each block information in the first block set, each block information in the second block set and each block information in the third block set respectively by adopting a preset block surface data merging mode;
specifically, the people flow distribution processing device may respectively merge each piece of street information in the first street set, each piece of street information in the second street set, and each piece of street information in the third street set by using a preset street level data merging manner, where the street level data merging manner may specifically be expressed as merging street information that satisfies preset street level data, for example: assuming that the preset neighborhood data is 100 meters, neighborhood information that is adjacent or close and the neighborhood data is less than or equal to 100 meters can be merged, that is, coverage areas of two neighbored or close neighbored nei. By respectively merging the block information in the set, the influence of a smaller channel existing in a cell and a village on subsequent block marking can be avoided, and the integrity of a user coverage area is ensured, for example: two buildings of the same cell are not divided into different marked areas, and so on.
S208, marking the merged first block set, the merged second block set and the merged third block set in the electronic map by adopting a preset marking mode so as to generate people stream distribution information corresponding to the target POI;
specifically, the people stream distribution processing device may mark the merged first neighborhood set, the merged second neighborhood set, and the merged third neighborhood set in an electronic map by using a preset marking manner, so as to generate people stream distribution information corresponding to the target POI. The preset marking mode can comprise line style, color, thickness and the like, and the planning boundary of the block is regular, so that the user group range covered by the POI is easy to identify by marking in the electronic map by taking the block as a unit.
Referring to fig. 3 together, as shown in fig. 3, the electronic map includes a supermarket, a school, a central park, a cell a, a cell B, a cell C, a cell D and a cell E, where the identifier 30 indicates that the current target POI is a supermarket, the blocks to which the cell B belongs are a route 2, a route 3, a route 7, etc., the block to which the cell a belongs is a route 4, a route 7, etc., the cell a and the cell B are separated by a route 7, and since the block data of the route 7 is greater than the preset block data, the cell a and the cell B are not merged, as shown in fig. 3, the first marking mode is used
Figure GDA0003685577990000091
For representing a first set of blocks, a second marking mode
Figure GDA0003685577990000092
Third marking mode for representing second block set
Figure GDA0003685577990000093
For indicating a third set of blocks, since there are more loyal and active users in the B-cell, in order to be fullThe inheritance of the foot block can be used for marking the No. 2 road, the No. 3 road and the No. 7 road respectively by adopting the three marking modes, and no loyalty users exist in the A cell, so that the No. 4 road and the No. 7 road are marked by adopting the second marking mode and the third marking mode. The method comprises the steps that the districts of a C cell belong to No. 1, No. 5, No. 8 and No. 9, the districts of an E cell belong to No. 9 and the like, the district C and the district E are separated by the No. 9, and as the data of the block surface of the No. 9 is smaller than or equal to the data of the preset block surface, the district C and the district E can be combined, more loyal users and active users exist in the district C, and No. 9 users do not exist in the district E, the No. 1, the No. 5, the No. 8 and the No. 9 which surround the district C can be marked by adopting a first marking mode, and the No. 1, the No. 5 and the No. 8 which surround the district C and the district E can be marked by adopting a second marking mode and a third marking mode. And no loyal user and active user exist in the D cell, so that the No. 8 road and the No. 10 road surrounding the D cell are marked by adopting a third marking mode, and the like, and finally, the people flow distribution information corresponding to the supermarket is generated.
In the embodiment of the invention, the pre-recorded target user identification containing the user positioning information of the target POI is obtained, the living place position information corresponding to the target user identification can be further obtained, the block information to which the living place position information belongs is obtained, and the block information is marked in the electronic map so as to generate the people flow distribution information corresponding to the target POI. The stay track at the POI can be determined by recording the user positioning information at the POI, the user distribution condition aiming at the POI can be determined by acquiring the residence position information corresponding to the user identification, and the residence position information is divided by the block to which the user identification belongs, so that the people flow distribution information corresponding to the POI is generated, the people flow distribution information aiming at the POI is automatically generated according to the positioning information, the manpower resource and the consumed time are saved, the accuracy of the people flow distribution information is ensured, and the generation efficiency of the people flow distribution information is improved; by screening the user identification based on the positioning times or the positioning duration, a user group with a stopping behavior in the POI can be accurately excavated, and the accuracy of people flow distribution information is further improved; by classifying the user identification by the times of the preset stay state, different user groups covered by the POI can be identified, and the passenger flow analysis and comparison of the working personnel of the POI are facilitated, so that the service mode of the POI is more targeted; by setting different block sets, the inheritance of block coverage can be ensured; by adopting the user quantity threshold value to filter the block information, the block information with rare number of people can be removed, the effectiveness of the screened block information is ensured, and the accuracy of the people flow distribution information is further improved; by respectively merging the block information in the set, the influence of smaller channels existing in cells and villages on subsequent block marking can be avoided; because the planning boundary of the block is regular, the block is marked in the electronic map as a unit, so that the user group range covered by the POI is easy to identify.
The people flow distribution processing device provided by the embodiment of the invention will be described in detail with reference to fig. 4-8. It should be noted that, the people flow distribution processing apparatus shown in fig. 4-8 is used for executing the method of the embodiment shown in fig. 1-3 of the present invention, for convenience of description, only the part related to the embodiment of the present invention is shown, and details of the technology are not disclosed, please refer to the embodiment shown in fig. 1-3 of the present invention.
Fig. 4 is a schematic structural diagram of a people flow distribution processing apparatus according to an embodiment of the present invention. As shown in fig. 4, the people flow distribution processing apparatus 1 according to the embodiment of the present invention may include: an identification acquisition unit 11, a neighborhood information acquisition unit 12, and a distribution information generation unit 13.
The identification acquisition unit 11 is configured to acquire a target user identification corresponding to pre-recorded user positioning information including a target POI;
in a specific implementation, the identifier obtaining unit 11 may obtain a target user identifier corresponding to pre-recorded user positioning information containing a target POI, and it can be understood that, when a user uses a positioning application in a user terminal, for example: navigation, searching POI and the like, a user terminal can acquire current user positioning information based on positioning application, the user positioning information is information recorded with the position of a current user, the user terminal can upload the user positioning information to the people stream distribution processing equipment 1 based on user identification distributed when the positioning application is registered in advance, the people stream distribution processing equipment 1 records the user identification and the user positioning information, preferably, the people stream distribution processing equipment 1 can set a database for different user identifications respectively and is used for storing the user positioning information of the user identifications respectively. When people flow distribution information of a certain POI needs to be obtained, the identifier obtaining unit 11 may search for pre-recorded user location information including the target POI, and obtain a target user identifier corresponding to the user location information including the target POI. The user positioning information may include positioning coordinates and a positioning record, where the positioning record is specifically used for positioning behavior information recorded in time-sharing manner according to the positioning coordinates.
The neighborhood information acquiring unit 12 is configured to acquire residence location information corresponding to the target user identifier, and acquire neighborhood information to which the residence location information belongs;
in a specific implementation, the neighborhood information obtaining unit 12 obtains the location information of the residence corresponding to the target user identifier, and it can be understood that the people flow distribution processing device 1 may pre-store the location information of the residence of different user identifiers, where the location information of the residence may be location information that is automatically input when the user terminal registers the positioning application, or may be location information that is obtained by parsing the location information of the user identifier obtained by the people flow distribution processing device 1 based on history in a specific time period, where the specific time period may be a time period in which a large probability of being located in the residence is night, weekend, or the like.
The people flow distribution processing device 1 may further store neighborhood partition information in advance, where the neighborhood partition information may include neighborhood information such as a neighborhood name, a neighborhood position, and neighborhood data, and the neighborhood information acquiring unit 12 may acquire, based on the neighborhood partition information, neighborhood information to which the residential location information of the target user identifier belongs.
The distribution information generating unit 13 is configured to mark the block information in an electronic map by using a preset marking manner to generate people stream distribution information corresponding to the target POI;
in a specific implementation, the distribution information generating unit 13 may mark the block information in a preset electronic map by using a preset marking manner, where the preset marking manner may include a line style, a color, a thickness, and the like.
In the embodiment of the invention, the pre-recorded target user identification containing the user positioning information of the target POI is obtained, the living place position information corresponding to the target user identification can be further obtained, the block information to which the living place position information belongs is obtained, and the block information is marked in the electronic map so as to generate the people flow distribution information corresponding to the target POI. The stay track at the POI can be determined by recording the user positioning information at the POI, the user distribution situation aiming at the POI can be determined by acquiring the residence position information corresponding to the user identification, and the residence position information is divided by the affiliated block, so that the people flow distribution information corresponding to the POI is generated, the people flow distribution information aiming at the POI is automatically generated according to the positioning information, the manpower resource and the consumed time are saved, the accuracy of the people flow distribution information is ensured, and the generation efficiency of the people flow distribution information is improved.
Fig. 5 is a schematic structural diagram of another people flow distribution processing apparatus according to an embodiment of the present invention. As shown in fig. 5, the people flow distribution processing apparatus 1 according to the embodiment of the present invention may include: an identification acquisition unit 11, a neighborhood information acquisition unit 12, and a distribution information generation unit 13.
The identification acquisition unit 11 is configured to acquire a target user identification corresponding to pre-recorded user positioning information including a target POI;
in specific implementation, the identifier obtaining unit 11 may obtain a target user identifier corresponding to pre-recorded user positioning information that includes a target POI, and it may be understood that, when a user uses a positioning application in a user terminal, for example: navigation, searching POI and the like, a user terminal can acquire current user positioning information based on positioning application, the user positioning information is information recorded with the position of a current user, the user terminal can upload the user positioning information to the people stream distribution processing equipment 1 based on user identification distributed when the positioning application is registered in advance, the people stream distribution processing equipment 1 records the user identification and the user positioning information, preferably, the people stream distribution processing equipment 1 can set a database for different user identifications respectively and is used for storing the user positioning information of the user identifications respectively. When people flow distribution information of a certain POI needs to be acquired, the identifier acquiring unit 11 may search for pre-recorded user location information containing the target POI, and acquire a target user identifier corresponding to the user location information containing the target POI. The user positioning information may include positioning coordinates and a positioning record, where the positioning record is specifically used for positioning behavior information recorded in time-sharing manner according to the positioning coordinates.
Specifically, please refer to fig. 6, which provides a schematic structural diagram of the identifier obtaining unit according to an embodiment of the present invention. As shown in fig. 6, the identifier obtaining unit 11 may include:
an identifier recording subunit 111, configured to record at least one user identifier indicating that user positioning information exists for the target POI;
in a specific implementation, the identifier recording subunit 111 may record at least one user identifier indicating that user positioning information exists for a target POI, where it should be noted that the target POI is specifically a POI coordinate of the target POI, and if a distance between a positioning coordinate in the user positioning information and the POI coordinate is less than or equal to a preset distance threshold, the identifier recording subunit 111 may determine that the user positioning information exists in the target POI.
It will be appreciated that when a user uses a positioning application in a user terminal, for example: navigation, searching POI and the like, a user terminal can acquire current user positioning information based on positioning application, the user positioning information is information recorded with the position of a current user, the user terminal can upload the user positioning information to the people stream distribution processing equipment 1 based on user identification distributed when the positioning application is registered in advance, the people stream distribution processing equipment 1 records the user identification and the user positioning information, preferably, the people stream distribution processing equipment 1 can set a database for different user identifications respectively and is used for storing the user positioning information of the user identifications respectively. When people stream distribution information of a certain POI needs to be acquired, the identifier recording subunit 111 may record at least one user identifier having user positioning information for the target POI. The user positioning information may include positioning coordinates and a positioning record, where the positioning record is specifically used for positioning behavior information recorded in time-sharing manner according to the positioning coordinates.
An identifier obtaining subunit 112, configured to obtain, from the at least one user identifier, a target user identifier whose user positioning information meets a preset staying state;
in a specific implementation, the identifier obtaining subunit 112 may obtain, from the at least one user identifier, a target user identifier whose user positioning information meets a preset staying state, where the preset staying state may be that the number of times of positioning in the user positioning information is greater than or equal to a preset number of times, or that the positioning duration in the user positioning information is greater than or equal to a preset duration, and preferably, the positioning record in the user positioning information may be specifically represented by an array, and the positioning behavior information is recorded according to a preset time period, for example: taking day as a unit, the array may be a 24-bit array, which respectively represents 24 hours in a day, when it is detected that the user positioning information exists at the target POI at any time from 8 hours to 8 hours 59 minutes, the 8 th bit in the array may be set to "1", and at other whole points where the user positioning information exists at the target POI, the corresponding positions in the array are set to "0", and the like, the number of times of positioning or the length of time of positioning may be obtained through the positioning record, and the number of "1" in the positioning record is obtained for the number of times of positioning, and the number of times of positioning at the target POI may be determined, for example: if 3 '1's exist in the array, the number of positioning times at the target POI is 3, and the like; for the positioning duration, obtaining the bit number difference of "1" continuously appearing in the positioning record, the positioning duration at the target POI can be determined, for example: the presence of 2 consecutive "1" s in the array at the 8 th and 10 th bits of the array, respectively, indicates that the current positioning time at the target POI is 2 hours, etc. The identifier obtaining subunit 112 may obtain, from the at least one user identifier, a target user identifier whose positioning time is greater than or equal to a preset time, or a target user identifier whose positioning time is greater than or equal to a preset time, where the preset time and the preset time may be set according to an empirical value. By screening the user identification based on the positioning times or the positioning duration, the user group with the actual stay behavior in the POI can be accurately excavated, and the accuracy of the people flow distribution information is further improved.
The identifier classification unit 14 is configured to perform classification processing on the target user identifier according to the number of times that the preset stay state is met, so as to generate at least one type of identifier;
in a specific implementation, the identifier classifying unit 14 may further classify the obtained target user identifiers, and the identifier classifying unit 14 may classify the target user identifiers according to the number of times that the preset staying state is satisfied, so as to generate at least one type of identifier, it can be understood that the identifier classifying unit 14 may count the number of times that each target user identifier satisfies the preset staying state within a preset time interval, for example: counted once every month, and the like. By classifying the user identifications by adopting the times of the preset stay state, different user groups covered by the POI can be identified, and the passenger flow analysis and comparison of the working personnel of the POI are facilitated, so that the service mode of the POI is more targeted. Preferably, the identifier classifying unit 14 may set a target user identifier whose number of times that the user positioning information satisfies the preset stay state is greater than or equal to a first number as a first type identifier, the identifier classifying unit 14 may set a target user identifier whose number of times that the user positioning information satisfies the preset stay state is smaller than the first number and greater than or equal to a second number as a second type identifier, the identifier classifying unit 14 may set a target user identifier whose number of times that the user positioning information satisfies the preset stay state is smaller than the second number and greater than or equal to a third number as a third type identifier, where the first number is greater than the second number, the second number is greater than the third number, and the first type identifier, the second type identifier, and the third type identifier respectively represent user groups with different activity degrees, for example: a first class of identifiers represents loyal users of the target POI, a second class of identifiers represents active users of the target POI, a third class of identifiers represents ordinary users of the target POI, and so on.
It should be noted that the user identifiers classified into three categories are merely exemplary, and the specific category number, the first time, the second time, and the third time may be adaptively adjusted according to different implementation scenarios or requirements of the staff.
The neighborhood information acquiring unit 12 is configured to acquire residence location information corresponding to the target user identifier, and acquire neighborhood information to which the residence location information belongs;
in a specific implementation, the neighborhood information obtaining unit 12 obtains the location information of the residence corresponding to the target user identifier, and it can be understood that the people flow distribution processing device 1 may pre-store the location information of the residence of different user identifiers, where the location information of the residence may be location information that is automatically input when the user terminal registers the positioning application, or may be location information that is obtained by parsing the location information of the user identifier obtained by the people flow distribution processing device 1 based on history in a specific time period, where the specific time period may be a time period in which a large probability of being located in the residence is night, weekend, or the like.
The people flow distribution processing device 1 may further store, in advance, neighborhood division information which may include neighborhood information such as a neighborhood name, a neighborhood position, and neighborhood data, and the neighborhood information acquiring unit 12 may acquire, based on the neighborhood division information, neighborhood information to which the residential location information of the target user identification belongs.
Specifically, please refer to fig. 7, which provides a schematic structural diagram of the block information obtaining unit according to an embodiment of the present invention. As shown in fig. 7, the neighborhood information obtaining unit 12 may include:
a location information obtaining subunit 121, configured to obtain first residence location information corresponding to the first type identifier, obtain second residence location information corresponding to the second type identifier, and obtain third residence location information corresponding to the third type identifier;
in specific implementation, according to the above classification, the location information acquiring subunit 121 may acquire the first residence location information corresponding to the first type of identifier, acquire the second residence location information corresponding to the second type of identifier, and acquire the third residence location information corresponding to the third type of identifier, it may be understood that the people flow distribution processing device 1 may prestore the residence location information of different user identifiers, the residence location information may be location information that is input by itself when the user terminal registers the positioning application, or may be location information that is obtained by analyzing the location information of the user identifier obtained by the people flow distribution processing device 1 based on history in a specific period, and the specific period may be a period of time in which the user identifier is located in the residence with a high probability such as night and weekend.
A neighborhood information acquiring subunit 122, configured to acquire first neighborhood information to which the first residence location information belongs, acquire second neighborhood information to which the second residence location information belongs, and acquire third neighborhood information to which the third residence location information belongs;
in a specific implementation, the people flow distribution processing device 1 further acquires first block information to which the first residential position information belongs, acquires second block information to which the second residential position information belongs, and acquires third block information to which the third residential position information belongs, and the block information acquiring subunit 122 may further store block division information in advance, where the block division information may include block information such as a block name, a block position, and block plane data.
The distribution information generating unit 13 is configured to mark the block information in an electronic map by using a preset marking manner to generate people stream distribution information corresponding to the target POI;
in a specific implementation, the distribution information generating unit 13 may mark the block information in a preset electronic map by using a preset marking manner, where the preset marking manner may include line style, color, thickness, and the like.
Specifically, please refer to fig. 8, which provides a schematic structural diagram of the distribution information generating unit according to an embodiment of the present invention. As shown in fig. 8, the distribution information generating unit 13 may include:
a block set generating subunit 131, configured to generate a first block set including the first block information, generate a second block set including the first block information and second block information, and generate a third block set including the first block information, second block information, and third block information;
in a specific implementation, the neighborhood set generating subunit 131 may generate a first neighborhood set including the first neighborhood information, generate a second neighborhood set including the first neighborhood information and the second neighborhood information, and generate a third neighborhood set including the first neighborhood information, the second neighborhood information, and the third neighborhood information, and by setting different neighborhood sets, inheritance of neighborhood coverage can be ensured, for example: the third block set simultaneously contains block information of the loyalty users, the active users and the common users of the target POI, the second block set simultaneously contains block information of the loyalty users and the active users of the target POI, and the first block set contains block information of the loyalty users of the target POI.
It can be understood that, when the first, second, and third neighborhood information are obtained, the neighborhood merging subunit 132 may count the user quantity of each neighborhood information first, and the people flow segmentation processing device may preset a first user quantity threshold, a second user quantity threshold, and a third user quantity threshold, and respectively remove the neighborhood information in which the user quantity in the first neighborhood information is smaller than the first user quantity threshold, the neighborhood information in which the user quantity in the second neighborhood information is smaller than the second user quantity threshold, and the neighborhood information in which the user quantity in the third neighborhood information is smaller than the third user quantity threshold. Wherein the third user amount threshold is greater than the second user amount threshold, and the second user amount threshold is greater than the first user amount threshold. By adopting the user quantity threshold value to filter the block information, the block information with less number of people can be removed, the effectiveness of the screened block information is ensured, and the accuracy of the people flow distribution information is further improved.
A block merging subunit 132, configured to separately merge, by using a preset block level data merging manner, each block information in the first block set, each block information in the second block set, and each block information in the third block set;
in a specific implementation, the block merging subunit 132 may respectively merge each block information in the first block set, each block information in the second block set, and each block information in the third block set by using a preset block level data merging manner, where the block level data merging manner may specifically be expressed as merging block information that meets preset block level data, for example: assuming that the preset neighborhood data is 100 meters, neighborhood information that is adjacent or close and the neighborhood data is less than or equal to 100 meters can be merged, that is, the coverage areas of two neighbored or close neighbored neighborhoods and the neighborhood width is less than or equal to 100 meters are merged, and the like. By respectively merging the block information in the set, the influence of a smaller channel existing in a cell and a village on subsequent block marking can be avoided, and the integrity of a user coverage area is ensured, for example: two buildings of the same cell are not divided into different marked areas, and so on.
A distribution information generating subunit 133, configured to respectively mark the merged first block set, the merged second block set, and the merged third block set in an electronic map by using a preset marking manner, so as to generate people stream distribution information corresponding to the target POI;
in a specific implementation, the distribution information generating subunit 133 may mark the merged first neighborhood set, the merged second neighborhood set, and the merged third neighborhood set in an electronic map by using a preset marking manner, so as to generate the people stream distribution information corresponding to the target POI. The preset marking mode can comprise line style, color, thickness and the like, and the planning boundary of the block is regular, so that the user group range covered by the POI is easy to identify by marking in the electronic map by taking the block as a unit.
In the embodiment of the invention, the pre-recorded target user identifier containing the user positioning information of the target POI is obtained, the position information of the residential area corresponding to the target user identifier can be further obtained, the street information to which the position information of the residential area belongs is obtained, and the street information is marked in the electronic map so as to generate the people flow distribution information corresponding to the target POI. The stay track at the POI can be determined by recording the user positioning information at the POI, the user distribution condition aiming at the POI can be determined by acquiring the residence position information corresponding to the user identification, and the residence position information is divided by the block to which the user identification belongs, so that the people flow distribution information corresponding to the POI is generated, the people flow distribution information aiming at the POI is automatically generated according to the positioning information, the manpower resource and the consumed time are saved, the accuracy of the people flow distribution information is ensured, and the generation efficiency of the people flow distribution information is improved; by screening the user identification based on the positioning times or the positioning duration, a user group with a stopping behavior in the POI can be accurately excavated, and the accuracy of people flow distribution information is further improved; by classifying the user identification by adopting the times of the preset stay state, different user groups covered by the POI can be identified, so that the passenger flow analysis and comparison of the working personnel of the POI are facilitated, and the service mode of the POI is more targeted; by setting different block sets, the inheritance of block coverage can be ensured; by adopting the user quantity threshold value to filter the block information, the block information with rare number of people can be removed, the effectiveness of the screened block information is ensured, and the accuracy of the people flow distribution information is further improved; by respectively merging the block information in the set, the influence of smaller channels existing in cells and villages on subsequent block marking can be avoided; because the planning boundary of the block is regular, the block is marked in the electronic map as a unit, so that the user group range covered by the POI is easy to identify.
Fig. 9 is a schematic structural diagram of another people stream distribution processing apparatus according to an embodiment of the present invention. As shown in fig. 9, the people flow distribution processing apparatus 1000 may include: at least one processor 1001, such as a CPU, at least one network interface 1004, a user interface 1003, memory 1005, at least one communication bus 1002. Wherein a communication bus 1002 is used to enable connective communication between these components. The user interface 1003 may include a Display (Display) and a Keyboard (Keyboard), and the optional user interface 1003 may further include a standard wired interface and a standard wireless interface. The network interface 1004 may optionally include a standard wired interface, a wireless interface (e.g., a WI-FI interface). The memory 1005 may be a high-speed RAM memory or a non-volatile memory, such as at least one disk memory. The memory 1005 may optionally be at least one memory device located remotely from the processor 1001. As shown in fig. 9, a memory 1005, which is a kind of computer storage medium, may include therein an operating system, a network communication module, a user interface module, and a people flow distribution processing application program.
In the people flow distribution processing apparatus 1000 shown in fig. 9, the user interface 1003 is mainly used as an interface for providing input for a user, and acquiring data input by the user; the network interface 1004 is used for data communication with the user terminal; the processor 1001 may be configured to call the people flow distribution processing application stored in the memory 1005, and specifically perform the following operations:
acquiring a target user identifier corresponding to pre-recorded user positioning information containing a target information Point (POI);
acquiring residence location information corresponding to the target user identification, and acquiring block information to which the residence location information belongs;
and marking the block information in an electronic map by adopting a preset marking mode so as to generate people flow distribution information corresponding to the target POI.
In an embodiment, the processor 1001, when executing the step of acquiring the target user identifier corresponding to the pre-recorded user positioning information containing the target POI, specifically executes the following operations:
recording at least one user identifier of user positioning information for the target POI;
acquiring a target user identifier of which the user positioning information meets a preset stay state from at least one user identifier;
the preset stay state is that the positioning times in the user positioning information are more than or equal to the preset times, or the positioning duration in the user positioning information is more than or equal to the preset duration.
In one embodiment, before performing the steps of acquiring the residence location information corresponding to the target user identifier and acquiring the neighborhood information to which the residence location information belongs, the processor 1001 further performs the following operations:
and classifying the target user identification according to the times meeting the preset stay state to generate at least one type of identification.
In an embodiment, when the processor 1001 performs classification processing on the target user identifier according to the number of times that the user positioning information satisfies the preset staying state to generate at least one type of identifier, specifically perform the following operations:
setting the target user identifier of which the number of times that the user positioning information meets the preset stay state is greater than or equal to a first number of times as a first type identifier;
setting the target user identifier of which the number of times that the user positioning information meets the preset stay state is less than the first number of times and greater than or equal to a second number of times as a second type identifier;
setting the target user identifier of which the number of times that the user positioning information meets the preset stay state is less than the second number of times and is greater than or equal to a third number of times as a third type identifier;
wherein the first number of times is greater than the second number of times, and the second number of times is greater than the third number of times.
In an embodiment, when the processor 1001 acquires the residence location information corresponding to the target user identifier and acquires the neighborhood information to which the residence location information belongs, the following operations are specifically performed:
acquiring first residence position information corresponding to the first type of identification, acquiring second residence position information corresponding to the second type of identification, and acquiring third residence position information corresponding to the third type of identification;
and acquiring first block information to which the first residence position information belongs, acquiring second block information to which the second residence position information belongs, and acquiring third block information to which the third residence position information belongs.
In an embodiment, when the processor 1001 marks the street information in an electronic map by using a preset marking method to generate the people flow distribution information corresponding to the target POI, the following operations are specifically performed:
generating a first neighborhood set containing the first neighborhood information, generating a second neighborhood set containing the first neighborhood information and second neighborhood information, and generating a third neighborhood set containing the first neighborhood information, the second neighborhood information and third neighborhood information;
merging each piece of block information in the first block set, each piece of block information in the second block set and each piece of block information in the third block set respectively by adopting a preset block surface data merging mode;
and marking the merged first block set, the merged second block set and the merged third block set in an electronic map by adopting a preset marking mode so as to generate the people flow distribution information corresponding to the target POI.
In the embodiment of the invention, the pre-recorded target user identifier containing the user positioning information of the target POI is obtained, the position information of the residential area corresponding to the target user identifier can be further obtained, the street information to which the position information of the residential area belongs is obtained, and the street information is marked in the electronic map so as to generate the people flow distribution information corresponding to the target POI. The stay track at the POI can be determined by recording the user positioning information at the POI, the user distribution condition aiming at the POI can be determined by acquiring the residence position information corresponding to the user identification, and the residence position information is divided by the block to which the user identification belongs, so that the people flow distribution information corresponding to the POI is generated, the people flow distribution information aiming at the POI is automatically generated according to the positioning information, the manpower resource and the consumed time are saved, the accuracy of the people flow distribution information is ensured, and the generation efficiency of the people flow distribution information is improved; by screening the user identification based on the positioning times or the positioning duration, a user group with a stopping behavior in the POI can be accurately excavated, and the accuracy of people flow distribution information is further improved; by classifying the user identification by adopting the times of the preset stay state, different user groups covered by the POI can be identified, so that the passenger flow analysis and comparison of the working personnel of the POI are facilitated, and the service mode of the POI is more targeted; by setting different block sets, the inheritance of block coverage can be ensured; by respectively merging the block information in the set, the influence of smaller channels existing in cells and villages on subsequent block marking can be avoided; due to the fact that the planning boundary of the block is regular, the block is marked in the electronic map as a unit, and the user group range covered by the POI is easy to identify.
It should be noted that the user personal information, such as the user positioning information and the residence position information corresponding to the target user identifier, described in the above embodiments of the present invention is obtained under the authorization of the user.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program, which can be stored in a computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. The storage medium may be a magnetic disk, an optical disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), or the like.
The above disclosure is only for the purpose of illustrating the preferred embodiments of the present invention, and it is therefore to be understood that the invention is not limited by the scope of the appended claims.

Claims (5)

1. A people flow distribution processing method is characterized by comprising the following steps:
acquiring a target user identifier corresponding to pre-recorded user positioning information containing a target POI;
setting the target user identifier of which the number of times that the user positioning information meets the preset stay state is greater than or equal to a first number of times as a first type identifier;
setting the target user identifier of which the number of times that the user positioning information meets the preset stay state is less than the first number of times and greater than or equal to a second number of times as a second type identifier;
setting the target user identifier of which the number of times that the user positioning information meets the preset stay state is less than the second number of times and is greater than or equal to a third number of times as a third type identifier;
wherein the first number of times is greater than the second number of times, and the second number of times is greater than the third number of times;
acquiring first residence position information corresponding to the first type of identification, acquiring second residence position information corresponding to the second type of identification, and acquiring third residence position information corresponding to the third type of identification;
acquiring first neighborhood information to which the first residential place position information belongs, acquiring second neighborhood information to which the second residential place position information belongs, acquiring third neighborhood information to which the third residential place position information belongs, and filtering the first neighborhood information, the second neighborhood information and the third neighborhood information respectively, so that the user quantity in the first neighborhood information is not less than a preset first user quantity threshold value, the user quantity of the second neighborhood information is not less than a preset second user quantity threshold value, the three-purpose user quantity of the third neighborhood information is not less than a preset third user quantity threshold value, the second user quantity threshold value is greater than the second user quantity threshold value, and the second user quantity threshold value is greater than the first user quantity threshold value;
generating a first neighborhood set containing the first neighborhood information, generating a second neighborhood set containing the first neighborhood information and second neighborhood information, and generating a third neighborhood set containing the first neighborhood information, the second neighborhood information and third neighborhood information;
merging the adjacent or similar neighborhood information in the first neighborhood set, the neighborhood information in the second neighborhood set and the neighborhood information in the third neighborhood set, wherein the neighborhood information is not more than a preset neighborhood threshold;
marking the merged first block set, the merged second block set and the merged third block set respectively in an electronic map by adopting a preset marking mode to generate people stream distribution information corresponding to the target POI, wherein different block sets correspond to different preset marking modes, and the preset marking modes comprise line styles, colors and thicknesses.
2. The method according to claim 1, wherein the obtaining a target user identifier corresponding to pre-recorded user positioning information including a target POI comprises:
recording at least one user identifier of user positioning information existing on a target POI;
acquiring a target user identifier of which the user positioning information meets a preset stay state from at least one user identifier;
the preset stay state is that the positioning times in the user positioning information are more than or equal to the preset times, or the positioning duration in the user positioning information is more than or equal to the preset duration.
3. A people flow distribution processing apparatus, characterized by comprising:
the system comprises an identification acquisition unit, a target POI acquisition unit and a target POI acquisition unit, wherein the identification acquisition unit is used for acquiring a target user identification corresponding to pre-recorded user positioning information containing a target POI;
the identification classification unit is used for setting the target user identification of which the number of times that the user positioning information meets the preset stay state is greater than or equal to a first number of times as a first type identification; setting the target user identifier of which the number of times that the user positioning information meets the preset stay state is less than the first number of times and greater than or equal to a second number of times as a second type identifier; setting the target user identifier of which the number of times that the user positioning information meets the preset stay state is less than the second number of times and is greater than or equal to a third number of times as a third type identifier; wherein the first number of times is greater than the second number of times, and the second number of times is greater than the third number of times;
the system comprises a block information acquisition unit, a block information acquisition unit and a block information acquisition unit, wherein the block information acquisition unit is used for acquiring residential place position information corresponding to a target user identifier in a specific time period based on user positioning information of the target user identifier acquired in history and acquiring block information to which the residential place position information belongs, and the block information comprises first block information, second block information and third block information;
the neighborhood information acquiring unit includes:
the position information acquiring subunit is configured to acquire first residence position information corresponding to the first type of identifier, acquire second residence position information corresponding to the second type of identifier, and acquire third residence position information corresponding to the third type of identifier;
the neighborhood information acquiring subunit is configured to acquire first neighborhood information to which the first residence location information belongs, acquire second neighborhood information to which the second residence location information belongs, and acquire third neighborhood information to which the third residence location information belongs;
the distribution information generating unit is used for marking the block information in an electronic map by adopting a preset marking mode so as to generate people stream distribution information corresponding to the target POI;
the distribution information generating unit includes:
a neighborhood set generating subunit, configured to generate a first neighborhood set including the first neighborhood information, generate a second neighborhood set including the first neighborhood information and second neighborhood information, and generate a third neighborhood set including the first neighborhood information, second neighborhood information, and third neighborhood information;
a block merging subunit, configured to filter the first block information, the second block information, and the third block information, respectively, so that a user amount in the first block information is not less than a preset first user amount threshold, a user amount in the second block information is not less than a preset second user amount threshold, a user amount in the third block information is not less than a preset third user amount threshold, the third user amount threshold is greater than the second user amount threshold, and the second user amount threshold is greater than the first user amount threshold; the neighborhood information merging device is used for respectively merging the neighborhood information in the first neighborhood set, the neighborhood information in the second neighborhood set and the neighborhood information which is adjacent or close to each other and has the neighborhood data not more than a preset neighborhood threshold value in the third neighborhood set;
and the distribution information generation subunit is configured to respectively mark the merged first block set, the merged second block set and the merged third block set in an electronic map by using preset marking manners to generate the people stream distribution information corresponding to the target POI, where different block sets correspond to different preset marking manners, and the preset marking manners include line styles, colors and thicknesses.
4. The apparatus of claim 3, wherein the identity obtaining unit comprises:
the identification recording subunit is used for recording at least one user identification of the target POI with the user positioning information;
the identification obtaining subunit is used for obtaining a target user identification of which the user positioning information meets a preset stay state from at least one user identification;
the preset stay state is that the positioning times in the user positioning information are more than or equal to the preset times, or the positioning duration in the user positioning information is more than or equal to the preset duration.
5. A computer storage medium, characterized in that it stores a plurality of instructions adapted to be loaded by a processor and to perform the method according to claim 1 or 2.
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