CN110708741A - Target object information processing method and computer equipment - Google Patents
Target object information processing method and computer equipment Download PDFInfo
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- CN110708741A CN110708741A CN201910982590.5A CN201910982590A CN110708741A CN 110708741 A CN110708741 A CN 110708741A CN 201910982590 A CN201910982590 A CN 201910982590A CN 110708741 A CN110708741 A CN 110708741A
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- H04W48/16—Discovering, processing access restriction or access information
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Abstract
The invention discloses a target object information processing method and computer equipment, wherein the method comprises the following steps: searching identification information of WIFI corresponding to the target object; candidate WIFI data are searched from a WIFI list reported by the mobile terminal within a first preset time period, the candidate WIFI data comprise identification information of the candidate WIFI and identification information of the mobile terminal, and the candidate WIFI is connected and scanned WIFI when the mobile terminal reports the WIFI list; searching WIFI data containing identification information of WIFI corresponding to the target object from the candidate WIFI data, and determining a first characteristic parameter value of the target object according to the WIFI data; searching user portrait data corresponding to identification information of the mobile terminal contained in the target WIFI data; generating a second characteristic parameter value of the target object according to the user portrait data; and determining the characteristics of the target object according to the first characteristic parameter value and the second characteristic parameter value.
Description
Technical Field
The present invention relates to the field of data processing technologies, and in particular, to a target object information processing method and a computer device.
Background
With the development of information technology and the wide application of machine learning algorithms, a wide range of objects including users, equipment, buildings and the like can be used as target objects, and data analysis of specific application purposes is performed by extracting features of the target objects.
For a target object based on geographical position, it is necessary to extract its geographical position-related features. Taking a building as an example, the method has better application prospect by extracting the features of the building based on the information of the user reaching the building.
Among other things, identification of users arriving at a building is involved. The traditional identification mode is realized by acquiring GPS information reported by a user terminal. However, the GPS information has the problems of poor positioning accuracy and poor anti-interference capability, and the characteristic extraction of the target object is influenced.
Disclosure of Invention
In view of the above problems, the present invention provides a target object information processing method and a computer device, which identify a mobile terminal that reaches a target object by collecting WiFi data reported by the mobile terminal, and further perform feature extraction on the target object, thereby solving the problems of poor positioning accuracy and poor interference resistance.
In a first aspect, an embodiment of the present invention provides a target object information processing method, where the method includes:
searching identification information of WIFI corresponding to the target object, wherein the WIFI corresponding to the target object is located in the coverage range of the target object;
searching first candidate WIFI data from a WIFI list reported by a mobile terminal within a first preset time period, wherein the first candidate WIFI data comprise identification information of candidate WIFI and identification information of the mobile terminal, and the candidate WIFI is WIFI connected when the mobile terminal reports the WIFI list and WIFI scanned when the mobile terminal reports the WIFI list;
searching first target WIFI data containing identification information of WIFI corresponding to the target object from the first candidate WIFI data;
determining a first characteristic parameter value of the target object according to the first target WIFI data;
searching user portrait data corresponding to identification information of a first target mobile terminal, wherein the identification information of the first target mobile terminal is identification information of the mobile terminal contained in the first target WIFI data;
generating a second characteristic parameter value of the target object according to the user portrait data;
and determining the characteristics of the target object according to the first characteristic parameter value and the second characteristic parameter value.
According to the method provided by the embodiment of the invention, the mobile terminal is identified based on the WIFI information, and the target object is subjected to feature extraction based on the WIFI information. In this way, if the mobile terminal is connected to or scans the WIFI corresponding to the target object, it is often meant that the user using the mobile terminal reaches the target object, and therefore, the mobile terminal reaching the target object can be accurately identified by the method provided by the embodiment of the present invention, and then the feature extraction of the target object is performed based on the method, so that the problems of poor precision and poor interference resistance caused by positioning using a GPS are avoided, and the stability of the feature extraction of the target object can be improved.
In a second aspect, an embodiment of the present invention provides a computer device, including:
a processor, memory and an application;
wherein the application program is stored in the memory and configured to be executed by the processor, implementing the method of the first aspect.
The computer equipment provided by the embodiment of the invention identifies the mobile terminal based on the WIFI information, and extracts the characteristics of the target object based on the WIFI information. In this way, if the mobile terminal is connected to or scans the WIFI corresponding to the target object, it is often meant that the user using the mobile terminal reaches the target object, and therefore, the mobile terminal reaching the target object can be accurately identified by the method provided by the embodiment of the present invention, and then the feature extraction of the target object is performed based on the method, so that the problems of poor precision and poor interference resistance caused by positioning using a GPS are avoided, and the stability of the feature extraction of the target object can be improved.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
FIG. 1 shows a system architecture diagram according to one embodiment of the invention;
fig. 2 shows a flowchart of a target object information processing method according to an embodiment of the present invention.
Detailed Description
In order to make the technical solutions of the present invention better understood, 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.
In some of the flows described in the present specification and claims and in the above figures, a number of operations are included that occur in a particular order, but it should be clearly understood that these operations may be performed out of order or in parallel as they occur herein, with the order of the operations being indicated as 101, 102, etc. merely to distinguish between the various operations, and the order of the operations by themselves does not represent any order of performance. Additionally, the flows may include more or fewer operations, and the operations may be performed sequentially or in parallel. It should be noted that, the descriptions of "first", "second", etc. in this document are used for distinguishing different messages, devices, modules, etc., and do not represent a sequential order, nor limit the types of "first" and "second" to be different.
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.
As shown in fig. 1, the system architecture of the present invention includes a network device and a mobile terminal, wherein the network device is a device on the internet, and may be a personal computer, or may be a server (a cloud server, an independent server, etc.), a workstation, etc.; the mobile terminal can be a mobile phone; the mobile terminal reports the device information, the attribute information and the WIFI list according to a preset time interval or after meeting a specific trigger condition, wherein the specific trigger condition can be that the network device broadcasts a reporting instruction to the periphery of the network device, receives the reporting instruction and reports the reporting instruction, or other conditions; the device information may be an ID of the mobile terminal, the attribute information may be asset information of a user of the mobile terminal, the WIFI list includes identification information of a currently connected WIFI, identification information of a historically connected WIFI, and identification information of a currently scanned WIFI, and the WIFI list further includes timestamp information for indicating reporting time of the WIFI list.
Fig. 2 is a flowchart of a target object information processing method according to a first embodiment of the present invention, and an embodiment of the present invention provides a target object information processing method, including:
s100, identification information of WIFI corresponding to the target object is searched, and the WIFI corresponding to the target object is located in the coverage range of the target object.
In the embodiment of the invention, the target object refers to an object which needs to be subjected to feature extraction, and the geographic position of the target object is fixed.
By way of example, and not limitation, in embodiments of the invention, the target object may be a building, a square, a park, and so forth.
In the embodiment of the invention, the signal coverage range of WIFI corresponding to the target object does not exceed the coverage range of the target object usually, and even if the signal coverage range of WIFI corresponding to the target object exceeds the coverage range of the target object, the signal coverage range of WIFI corresponding to the target object is within a preset exceeding range. That is to say, the method provided by the embodiment of the present invention is particularly suitable for the target object whose corresponding signal coverage of WIFI meets the expected requirement.
In the embodiment of the invention, the corresponding relation between each object and the identification information of the WIFI is pre-stored, and the identification information of the WIFI corresponding to the target object can be obtained by searching the pre-stored data.
Step S200, first candidate WIFI data are searched from a WIFI list reported by the mobile terminal within a first preset time period, the first candidate WIFI data comprise identification information of the candidate WIFI and identification information of the mobile terminal, and the candidate WIFI is connected WIFI when the mobile terminal reports the WIFI list and scanned WIFI when the mobile terminal reports the WIFI list.
The embodiment of the invention aims to identify the mobile terminal which reaches the target object in the first preset time period, and the rough probability of the identification information of the historical scanned WIFI in the WIFI list belongs to noise information, so that data cleaning and filtering are required to be performed through the step.
In practical application, the specific content of the first predetermined time period is determined according to the characteristics of the target object. By way of example and not limitation, if the target object is an office building, the first predetermined time period may be from 8 am to 8 am of each weekday within a month; if the target object is a mall, the first predetermined time period may be 6 o 'clock late to 10 o' clock late on each weekday within one month and 8 o 'clock early to 10 o' clock late on each weekend.
In the embodiment of the invention, the time stamp information corresponding to the WIFI list reported by each mobile terminal can be searched, and the WIFI list in the first preset time period can be screened out through the time stamp information.
In the embodiment of the present invention, if there are multiple first predetermined time periods, for example, the first predetermined time period is from 8 am to 8 am of each working day in a month, in an implementation manner, grouping is performed, first candidate WIFI data searched within the same first predetermined time period are divided into the same group, and subsequent processing is performed on each group of data; in another implementation, the data is not grouped and processed uniformly.
In the embodiment of the present invention, the identification information of the mobile terminal may be, but is not limited to, an IMEI number, a mobile phone number, an MAC address, and the like of the mobile terminal. The identification information of WIFI may be, but is not limited to, a MAC address of WIFI, and the like.
Step S300, first target WIFI data containing identification information of WIFI corresponding to the target object is searched from the first candidate WIFI data.
Step S400, a first characteristic parameter value of the target object is determined according to the first target WIFI data.
Step S500, user portrait data corresponding to identification information of a first target mobile terminal is searched, and the identification information of the first target mobile terminal is identification information of the mobile terminal contained in the first target WIFI data.
And S600, determining the characteristics of the target object according to the first characteristic parameter value and the second characteristic parameter value.
The embodiment of the invention does not limit the specific implementation mode for determining the characteristics of the target object. In practical application, the appropriate determination mode can be determined through simulation and fitting. By way of example and not limitation, the product of the first characteristic parameter and the second characteristic parameter may be used as the characteristic of the target object, and the weighted sum of the first characteristic parameter and the second characteristic parameter may also be used as the characteristic of the target object.
According to the method provided by the embodiment of the invention, the mobile terminal reaching the target object is identified based on the WIFI list reported by the mobile terminal, and then the target mobile terminal is determined. The inventor finds that the characteristics of the target characteristics are related to the WIFI data and the user portrait of the target mobile terminal in the process of implementing the invention, and therefore the characteristics of the target object are extracted based on the WIFI data and the portrait data of the target mobile terminal.
According to the method provided by the embodiment of the invention, the mobile terminal is identified based on the WIFI information, and the target object is subjected to feature extraction based on the WIFI information. In this way, if the mobile terminal is connected to or scans the WIFI corresponding to the target object, it is often meant that the user using the mobile terminal reaches the target object, and therefore, the mobile terminal reaching the target object can be accurately identified by the method provided by the embodiment of the present invention, and then the feature extraction of the target object is performed based on the method, so that the problems of poor precision and poor interference resistance caused by positioning using a GPS are avoided, and the stability of the feature extraction of the target object can be improved.
In the embodiment of the invention, in order to further improve the accuracy of the characteristics, the characteristics of the target object can be revised. Specifically, identification information of WIFI corresponding to a target area is searched, the target area covers a target object, and the WIFI corresponding to the target area is located in the coverage range of the target area; searching second candidate WIFI data from a WIFI list reported by the mobile terminal in a second preset time period, wherein the second candidate WIFI data comprise identification information of candidate WIFI and identification information of the mobile terminal; searching second target WIFI data containing identification information of WIFI corresponding to the target area from the second candidate WIFI data; searching second target WIFI data containing identification information of WIFI corresponding to the target area from the second candidate WIFI data; determining a first characteristic parameter value of the target area according to the second target WIFI data; searching for specified tag data corresponding to the identification information of the second target mobile terminal and the identification information of the first target mobile terminal, wherein the identification information of the second target mobile terminal is the identification information of the mobile terminal contained in the second target WIFI data; matching the appointed tag data corresponding to the identification information of the second target mobile terminal with the appointed tag data corresponding to the identification information of the first target mobile terminal according to a preset rule; generating a second characteristic parameter value of the target area according to the matching result; and correcting the characteristic of the target object according to the first characteristic parameter value and the second characteristic parameter value of the target area.
In the embodiment of the invention, the geographic position coordinate corresponding to each WIFI can be obtained and stored in advance, and each WIFI is marked on the electronic map. Calling a human-computer interaction interface to display an electronic map, determining a target object according to input of a user, further determining a target area covering a target address according to frame selection/dragging input of the user, and further determining WIFI in the target area based on the electronic map to serve as WIFI corresponding to the target area.
In the embodiment of the present invention, the designated tag data may be determined according to application requirements, for example and without limitation, if the target object is an office building and the feature to be extracted is a commercial value of the office building, then the commercial value of the office building may also be affected by industry relevance of the area where the office building is located, and the designated tag data is an industry to which the mobile terminal user belongs.
In the embodiment of the present invention, there are various ways to modify the characteristics of the target object, and the embodiment of the present invention does not limit this. By way of example and not limitation, the characteristic of the target object may be modified by weighted summation of the first characteristic parameter value, the second characteristic parameter value, and the characteristic of the target object.
In the embodiment of the present invention, there may be a plurality of second predetermined time periods, and a specific implementation manner of the second predetermined time period may refer to the description of the first predetermined time period. In the embodiment of the present invention, the first predetermined time period may be the same as or different from the second predetermined time period.
In the embodiment of the invention, various implementation manners are available for searching the first target WIFI data containing the identification information of the WIFI corresponding to the target object from the first candidate WIFI data. In one implementation manner, the WIFI data including the identification information of the WIFI of the target object is all used as the first target WIFI data. In another preferred implementation manner, all WIFI data containing identification information of WIFI corresponding to the target object are searched from the first candidate WIFI data; acquiring identification information of the mobile terminals in all the WIFI data, and respectively determining the frequency of the identification information of each mobile terminal appearing in all the WIFI data; and searching for WIFI data containing identification information of the mobile terminal with the occurrence frequency reaching a set threshold value as first target WIFI data.
In the embodiment of the invention, the mobile terminal continuously reports the WIFI list according to the preset period, so that the frequency of the identification information of the mobile terminal appearing in different WIFI data reflects the retention time of the mobile terminal.
In the embodiment of the invention, various implementation manners are available for searching the second target WIFI data containing the identification information of the WIFI corresponding to the target area from the second candidate WIFI data. In one implementation manner, the WIFI data including the identification information of the WIFI of the target area is all used as the second target WIFI data. In another preferred implementation manner, all WIFI data containing identification information of WIFI corresponding to the target area are searched from the second candidate WIFI data; acquiring identification information of the mobile terminals in all the WIFI data, and respectively determining the frequency of the identification information of each mobile terminal appearing in all the WIFI data; and searching for WIFI data containing identification information of the mobile terminal with the occurrence frequency reaching a set threshold value as second target WIFI data.
On this basis, in the embodiment of the present invention, there are various implementation manners for determining the first characteristic parameter value of the target object according to the first target WIFI data. By way of example and not limitation, determining an average number of occurrences of identification information of the first target mobile terminal in the first target WIFI data; determining the number of first target mobile terminals corresponding to the first target WIFI data; searching identification information of third target mobile terminals, the occurrence times of which reach a set threshold value, in first target WIFI data corresponding to a third preset time period, and determining the number of the third target mobile terminals, wherein the third preset time period is included in the first preset time period; searching identification information of candidate WIFI from a WIFI list reported by the first target mobile terminal within a fourth preset time period; searching identification information of far-point WIFI corresponding to each first target mobile terminal from the searched identification information of the candidate WIFI, wherein the far-point WIFI is the WIFI farthest from the WIFI corresponding to the target object; respectively determining the distance between each distant point WIFI and the WIFI corresponding to the target object, and determining the average distance, wherein the fourth preset time period is adjacent to the first preset time period; and determining a first characteristic parameter value of the target object according to the average occurrence number, the number of the first target mobile terminals, the number of the third target mobile terminals and the average distance.
In the embodiment of the invention, the occurrence frequency of the identification information of the mobile terminal in the target WIFI data reflects the staying time of the mobile terminal in the target object. For example, the first predetermined time period is from 8 am to 8 am, the period of reporting the WIFI list by the mobile terminal is half an hour, and it is assumed that 24 WIFI data in the first target WIFI data found in the first predetermined time period include the identification information of the mobile terminal B, which means that the mobile terminal B stays at the target object at the clock from 8 am to 8 am. In the embodiment of the present invention, it is assumed that there are 100 first target mobile terminals, and then the occurrence times of the 100 mobile terminals in the first target WIFI data are respectively determined, and an average occurrence time is obtained based on the determination times.
In the embodiment of the invention, the number of the first target mobile terminals represents the flow of people of the target object in the first preset time period. Specifically, the identification information of the first target mobile terminals in the first target WIFI data may be counted, and the same identification information is not repeatedly counted, so that the number of the first target mobile terminals is counted in this way.
In the embodiment of the invention, the third target mobile terminal corresponding to the third preset time period represents the concentration degree of the personnel. In this embodiment of the present invention, the third predetermined time period may be smaller than the first predetermined time period, or may be the first predetermined time period. By way of example and not limitation, assuming that the first predetermined period of time is 8 pm to 8 pm and the third predetermined period of time is 3 pm to 5 pm, the third target mobile terminals having a dwell time of more than 2 hours (specifically determined by the number of occurrences in the WIFI data) at 3 pm to 5 pm are first determined, and the number of third target mobile terminals is then determined. If there are multiple first predetermined time periods, the number of the third mobile terminals in each first predetermined time period may be determined, and then the summation process is performed.
In the embodiment of the present invention, the radiation distance of the target object, that is, the farthest arrival position of the first target mobile terminal after leaving the target object or before reaching the target object, may also be determined. Wherein the fourth predetermined period of time is adjacent to the first predetermined period of time. In the embodiment of the invention, the length of the fourth predetermined time period is determined according to actual needs. Taking the target object as an office building as an example, the length of the fourth predetermined time period is not longer than 3 hours. Assuming that the first predetermined time period is 8 o 'clock early to 8 o' clock late, the fourth predetermined time period may be 6 o 'clock early to 8 o' clock early, or 8 o 'clock late to 10 o' clock late. Through setting up the length of reasonable fourth predetermined period of time, can also reach the purpose that data washd, avoid appearing the noise data because the mobile terminal condition such as business trip leads to. Specifically, the distance corresponding to each first target mobile terminal may be determined, and then the average distance may be determined. In the embodiment of the invention, the corresponding relation between the identification information of each WIFI and the geographic position coordinate is pre-stored, and the distance between the two WIFI can be determined based on the corresponding relation.
The embodiment of the present invention does not limit the specific determination manner of the first characteristic parameter value, and as an example and not a limitation, the first characteristic parameter value may be determined by a weighted summation manner.
In the embodiment of the present invention, an implementation manner of determining the first characteristic parameter value of the target area according to the second target WIFI data may be: determining the average occurrence frequency of the identification information of the second target mobile terminal in the second target WIFI data; determining the number of the second target mobile terminals corresponding to the second target WIFI data; searching identification information of fourth target mobile terminals, the occurrence frequency of which reaches a set threshold value, in the second target WIFI data corresponding to a fifth preset time period, and determining the number of the fourth target mobile terminals, wherein the fifth preset time period is included in the second preset time period; searching identification information of candidate WIFI from a WIFI list reported by the second target mobile terminal within a sixth preset time period; searching identification information of a far-point WIFI corresponding to each second target mobile terminal from the searched identification information of the candidate WIFI, wherein the far-point WIFI is the WIFI farthest from the WIFI corresponding to the target area; respectively determining the distance between each distant point WIFI and the WIFI corresponding to the target area, and determining an average distance, wherein the sixth preset time period is adjacent to the second preset time period; and determining a second characteristic parameter value of the target area according to the average occurrence number, the number of the second target mobile terminals, the number of the fourth target mobile terminals and the average distance.
The specific implementation manner of the method may refer to the description of the above embodiments, and details are not described herein.
On the basis of any of the above method embodiments, in the embodiments of the present invention, specifying matching between tag data means that a predetermined association relationship is satisfied.
In the embodiment of the invention, the incidence relation between the specified label data is predetermined, and when the matching is carried out, if the incidence relation between the two label data is determined through the incidence relation, the two label data are considered to be matched.
In this embodiment of the present invention, generating the second characteristic parameter value of the target region according to the matching result includes: determining the number of the matched second target mobile terminals; and determining a second characteristic parameter value according to the number of the matched second target mobile terminals.
Based on the same inventive concept, an embodiment of the present invention further provides a computer device, including:
a processor, memory and an application;
wherein the application program is stored in the memory and configured to be executed by the processor, implementing any of the method embodiments described above.
Those skilled in the art will appreciate that all or part of the steps in the methods of the above embodiments may be implemented by associated hardware instructed by a program, which may be stored in a computer-readable storage medium, and the storage medium may include: a Read Only Memory (ROM), a Random Access Memory (RAM), a magnetic or optical disk, or the like.
It will be understood by those skilled in the art that all or part of the steps in the method for implementing the above embodiments may be implemented by hardware that is instructed to implement by a program, and the program may be stored in a computer-readable storage medium, and the above-mentioned storage medium may be a read-only memory, a magnetic disk or an optical disk, etc.
In the above description, the region value evaluating method, device, apparatus and storage medium provided by the present invention are described in detail, and for those skilled in the art, according to the idea of the embodiment of the present invention, there may be changes in the specific implementation and application scope, and in summary, the content of the present specification should not be construed as limiting the present invention.
Claims (9)
1. A target object information processing method, characterized by comprising:
searching identification information of WIFI corresponding to a target object, wherein the WIFI corresponding to the target object is located in the coverage range of the target object;
searching first candidate WIFI data from a WIFI list reported by a mobile terminal in a first preset time period, wherein the first candidate WIFI data comprise identification information of candidate WIFI and identification information of the mobile terminal, and the candidate WIFI is WIFI connected when the mobile terminal reports the WIFI list and WIFI scanned when the mobile terminal reports the WIFI list;
searching first target WIFI data containing identification information of WIFI corresponding to the target object from the first candidate WIFI data;
determining a first characteristic parameter value of the target object according to the first target WIFI data;
searching user portrait data corresponding to identification information of a first target mobile terminal, wherein the identification information of the first target mobile terminal is identification information of the mobile terminal contained in the first target WIFI data;
generating a second characteristic parameter value of the target object according to the user portrait data;
and determining the characteristics of the target object according to the first characteristic parameter value and the second characteristic parameter value.
2. The method of claim 1, further comprising:
searching identification information of WIFI corresponding to a target area, wherein the target area covers the target object, and the WIFI corresponding to the target area is located in the coverage range of the target area;
searching second candidate WIFI data from a WIFI list reported by the mobile terminal in a second preset time period, wherein the second candidate WIFI data comprise identification information of candidate WIFI and identification information of the mobile terminal;
searching second target WIFI data containing identification information of WIFI corresponding to the target area from the second candidate WIFI data;
searching second target WIFI data containing identification information of WIFI corresponding to the target object from the second candidate WIFI data;
determining a first characteristic parameter value of the target area according to the second target WIFI data;
searching for identification information of a second target mobile terminal and designated tag data corresponding to the identification information of the first target mobile terminal, wherein the identification information of the second target mobile terminal is identification information of a mobile terminal contained in the second target WIFI data;
matching the appointed tag data corresponding to the identification information of the second target mobile terminal with the appointed tag data corresponding to the identification information of the first target mobile terminal according to a preset rule;
generating a second characteristic parameter value of the target area according to the matching result;
and correcting the characteristics of the target object according to the first characteristic parameter value and the second characteristic parameter value of the target area.
3. The method of claim 2, wherein:
a plurality of the first predetermined time periods;
the second predetermined period of time is plural.
4. The method of claim 3, wherein the searching for the first target WIFI data containing identification information of WIFI corresponding to the target object from the first candidate WIFI data comprises:
searching all WIFI data containing identification information of WIFI corresponding to the target object from the first candidate WIFI data;
acquiring identification information of the mobile terminals in all the WIFI data, and respectively determining the times of the identification information of each mobile terminal appearing in all the WIFI data;
searching WIFI data containing identification information of the mobile terminal with the occurrence frequency reaching a set threshold value as first target WIFI data;
the searching for second target WIFI data containing identification information of WIFI corresponding to the target area from the second candidate WIFI data includes:
searching all WIFI data containing identification information of WIFI corresponding to the target area from the second candidate WIFI data;
acquiring identification information of the mobile terminals in all the WIFI data, and respectively determining the times of the identification information of each mobile terminal appearing in all the WIFI data;
and searching for WIFI data containing identification information of the mobile terminal with the occurrence frequency reaching a set threshold value as second target WIFI data.
5. The method of claim 4, wherein said determining a first characteristic parameter value for the target object from the first target WIFI data comprises:
determining the average occurrence frequency of the identification information of the first target mobile terminal in the first target WIFI data;
determining the number of the first target mobile terminals corresponding to the first target WIFI data;
searching identification information of third target mobile terminals, the occurrence frequency of which reaches a set threshold value, in the first target WIFI data corresponding to a third preset time period, and determining the number of the third target mobile terminals, wherein the third preset time period is included in the first preset time period;
searching identification information of candidate WIFI from a WIFI list reported by the first target mobile terminal within a fourth preset time period; searching identification information of a remote point WIFI corresponding to each first target mobile terminal from the searched identification information of the candidate WIFI, wherein the remote point WIFI is the WIFI farthest from the WIFI corresponding to the target object; respectively determining the distance between each distant point WIFI and the WIFI corresponding to the target object, and determining an average distance, wherein the fourth preset time period is adjacent to the first preset time period;
determining a first characteristic parameter value of the target object according to the average occurrence number, the number of the first target mobile terminals, the number of the third target mobile terminals and the average distance;
the determining a first characteristic parameter value of the target area according to the second target WIFI data includes:
determining the average occurrence frequency of the identification information of the second target mobile terminal in the second target WIFI data;
determining the number of the second target mobile terminals corresponding to the second target WIFI data;
searching identification information of fourth target mobile terminals, the occurrence frequency of which reaches a set threshold value, in the second target WIFI data corresponding to a fifth preset time period, and determining the number of the fourth target mobile terminals, wherein the fifth preset time period is included in the second preset time period;
searching identification information of candidate WIFI from a WIFI list reported by the second target mobile terminal within a sixth preset time period; searching identification information of a far-point WIFI corresponding to each second target mobile terminal from the searched identification information of the candidate WIFI, wherein the far-point WIFI is the WIFI farthest from the WIFI corresponding to the target area; respectively determining the distance between each distant point WIFI and the WIFI corresponding to the target area, and determining an average distance, wherein the sixth preset time period is adjacent to the second preset time period;
and determining a second characteristic parameter value of the target area according to the average occurrence number, the number of the second target mobile terminals, the number of the fourth target mobile terminals and the average distance.
6. The method according to claim 5, wherein determining a first characteristic parameter value of the target object according to the average number of occurrences, the number of first target mobile terminals, the number of third target mobile terminals and the average distance comprises:
respectively carrying out weighting processing on the average occurrence number, the number of the first target mobile terminals, the number of the third target mobile terminals and the average distance;
obtaining a first characteristic parameter value of the target object by summing the weighting processing results;
determining a second characteristic parameter value of the target area according to the average occurrence number, the number of the second target mobile terminals, the number of the fourth target mobile terminals, and the average distance, including:
respectively carrying out weighting processing on the average occurrence number, the number of the second target mobile terminals, the number of the fourth target mobile terminals and the average distance;
and summing the weighting processing results to obtain a first characteristic parameter value of the target area.
7. The method according to any one of claims 2 to 6, wherein:
specifying a match between tag data means that a predetermined association relationship is satisfied.
8. The method of claim 7, wherein the generating a second feature parameter value of the target region according to the matching result comprises:
determining the number of the matched second target mobile terminals;
and determining a second characteristic parameter value according to the number of the matched second target mobile terminals.
9. A computer device, comprising:
a processor, memory and an application;
wherein the application program is stored in the memory and configured to be executed by the processor, implementing the method of any of claims 1 to 8.
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