CN111091413A - Passenger flow data statistical method and device and computer readable storage medium - Google Patents
Passenger flow data statistical method and device and computer readable storage medium Download PDFInfo
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Abstract
According to the passenger flow data statistical method, the passenger flow data statistical device and the computer readable storage medium disclosed by the embodiment of the invention, firstly, the signal intensity of a wireless signal broadcasted by a terminal within a signal receiving range is detected through a wireless access point array arranged in a shop; then generating a signal intensity chart according to the signal intensity detection result of the wireless access point array; and finally, carrying out statistics on the basis of the signal intensity diagram to obtain passenger flow data. By implementing the invention, the wireless access point array in the shop is utilized to detect the signal intensity of the user terminal, and the passenger flow statistics is intelligently carried out based on the detection result of the signal intensity, so that the efficiency and the accuracy of the passenger flow statistics are effectively enhanced, and the diversity and the applicability of the passenger flow statistics are expanded.
Description
Technical Field
The invention relates to the technical field of electronics, in particular to a passenger flow data statistical method and device and a computer readable storage medium.
Background
In commercial activities, statistics and analysis of passenger flow volume of shopping centers, large shopping malls and the like can provide all-around data reference for evaluating operation effect and formulating marketing schemes, and have important influence on commercial operations, so that merchants give great attention to statistics of passenger flow data for a long time. At present, when a merchant performs customer flow statistics, manual statistics is usually performed by store operators, however, the efficiency and accuracy of the manual statistics are low, and the manual statistics has great limitations, so that the realizability in practical application is poor.
Disclosure of Invention
The embodiments of the present invention mainly aim to provide a method and an apparatus for passenger flow data statistics, and a computer-readable storage medium, which can at least solve the problems of low statistical efficiency and statistical accuracy and large limitations caused by adopting a manual method to perform passenger flow statistics in the related art.
In order to achieve the above object, a first aspect of the embodiments of the present invention provides a passenger flow data statistics method, including:
detecting the signal intensity of a wireless signal broadcast by a terminal within a signal receiving range through a wireless access point array arranged in a shop; the wireless access point array comprises a plurality of wireless access points which are respectively distributed at different shop positions;
generating a signal intensity chart according to the signal intensity detection result of the wireless access point array; wherein the pixel coordinates of the signal intensity map are matched with the store position coordinates of the store;
and counting passenger flow data based on the signal intensity diagram.
In order to achieve the above object, a second aspect of an embodiment of the present invention provides a passenger flow data statistics apparatus, including:
the detection module is used for detecting the signal intensity of the wireless signals broadcast by the terminals within the signal receiving range through the wireless access point array arranged in the shop; the wireless access point array comprises a plurality of wireless access points which are respectively distributed at different shop positions;
a generating module, configured to generate a signal strength map according to a signal strength detection result of the wireless access point array; wherein the pixel coordinates of the signal intensity map are matched with the store position coordinates of the store;
and the statistical module is used for obtaining passenger flow data based on the signal intensity graph statistics.
To achieve the above object, a third aspect of embodiments of the present invention provides an electronic apparatus, including: a processor, a memory, and a communication bus;
the communication bus is used for realizing connection communication between the processor and the memory;
the processor is configured to execute one or more programs stored in the memory to implement the steps of any of the above passenger flow data statistics methods.
In order to achieve the above object, a fourth aspect of the embodiments of the present invention provides a computer-readable storage medium storing one or more programs, which are executable by one or more processors to implement the steps of any one of the passenger flow data statistics methods described above.
According to the passenger flow data statistical method, the passenger flow data statistical device and the computer-readable storage medium provided by the embodiment of the invention, firstly, the signal intensity of a wireless signal broadcast by a terminal within a signal receiving range is detected through a wireless access point array arranged in a shop; then generating a signal intensity chart according to the signal intensity detection result of the wireless access point array; and finally, carrying out statistics on the basis of the signal intensity diagram to obtain passenger flow data. By implementing the invention, the wireless access point array in the shop is utilized to detect the signal intensity of the user terminal, and the passenger flow statistics is intelligently carried out based on the detection result of the signal intensity, so that the efficiency and the accuracy of the passenger flow statistics are effectively enhanced, and the diversity and the applicability of the passenger flow statistics are expanded.
Other features and corresponding effects of the present invention are set forth in the following portions of the specification, and it should be understood that at least some of the effects are apparent from the description of the present invention.
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 passenger flow data statistics method according to a first embodiment of the present invention;
fig. 2 is a schematic distribution diagram of a wireless access point array according to a first embodiment of the present invention;
FIG. 3 is a graph of signal strength provided by a first embodiment of the present invention;
fig. 4 is a flowchart illustrating an advertisement push method according to a first embodiment of the present invention;
FIG. 5 is a schematic structural diagram of a passenger flow statistics device according to a second embodiment of the present invention;
FIG. 6 is a schematic structural diagram of another passenger flow statistics device according to a second embodiment of the present invention;
fig. 7 is a schematic structural diagram of an electronic device according to a third embodiment of the invention.
Detailed Description
In order to make the objects, features and advantages of the present invention more obvious and understandable, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent 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 first embodiment:
in order to solve the technical problems of low statistical efficiency, low statistical accuracy and large limitations caused by manual passenger flow statistics in the related art, the present embodiment provides a passenger flow data statistics method, and as shown in fig. 1, a flow diagram of the passenger flow data statistics method provided by the present embodiment specifically includes the following steps:
Specifically, the wireless access point array of the present embodiment includes a plurality of wireless access points distributed at different store locations. Fig. 2 is a schematic diagram of a distribution of a wireless access point array provided in this embodiment, where a represents wireless access points, and all a constitute the wireless access point array, and different B represents different specific locations in a store, a rectangle in the center of an outward diffusion circle represents a terminal, and the outward diffusion circle around the terminal is a signal transmission schematic of the terminal.
In addition, it should be further noted that the wireless access point array of this embodiment may be a WiFi router array, and after a user enters a store with a terminal, the terminal may periodically send a WiFi broadcast signal, and automatically search for a WiFi router that can be connected nearby, where the signal may be detected by the WiFi router nearby the terminal, so that the terminal may implement signal strength detection without establishing a connection with the WiFi router, where the signal strength is related to the distance between the WiFi router and the terminal, and the closer the distance is, the stronger the signal strength is, and otherwise, the weaker the signal strength is.
And 102, generating a signal intensity chart according to the signal intensity detection result of the wireless access point array.
Specifically, the pixel coordinates of the signal intensity map of the present embodiment match the store position coordinates of the store. Although the distribution of the wireless access points in the store may not be uniform, the positions of the wireless access points are determined to be unchanged, so that in this embodiment, a signal intensity map in which the coordinates of the pixel points are consistent with the coordinate points of the store can be obtained by calibrating the wireless access point array and interpolating, filtering, and resampling the acquired signals, please refer to fig. 2B continuously, where the signal intensity at each B is the brightness value of each pixel point in the signal intensity map. The calibration method for the wireless access point can adopt the steps that the terminal moves along a specified path in a shop, a signal intensity distribution graph at each specific shop position is recorded, and then the corresponding relation between the actual position coordinate and the signal intensity image pixel point coordinate in the shop is obtained through analysis and processing of comparison data.
And 103, counting to obtain passenger flow data based on the signal intensity diagram.
As shown in fig. 3, which is a signal intensity diagram provided in this embodiment, specifically, after system calibration, the signal intensity diagram completely coincides with a plan view of a store, and a position of a center of a bright spot in the signal intensity diagram is a position of a terminal. In practical application, the image is processed, so that the position of the bright spot center can be accurately calculated, and the real-time position of the terminal in a shop can be obtained. Meanwhile, the information such as an injection port, an outlet, a shelf, an enclosing wall, a stand column and the like can be marked on the graph.
In addition, it should be noted that when a plurality of customers are simultaneously present in the store, that is, a plurality of terminals are present, and since the mac address of each terminal has uniqueness, in practical applications, the signal strength map of each terminal can be separated from the wireless access point, and a signal strength map is established for each terminal, so that interference between signals is avoided, and simultaneously, a profile is established for each customer.
It should be further noted that, in the embodiment, the actual passenger flow condition of the designated store in a certain time period is analyzed, and the store operator can effectively analyze the passenger flow running track, the passenger flow intensive point, the passenger flow peak time enhancement, the optimal display position, and the attraction of the store to the guest through various statistical data and reports calculated by the passenger flow analysis system. The method provides scientific and effective basis for analyzing the sales performance of the stores, provides a guidance scheme for the management and adjustment of the stores, finally increases the sales volume of the stores, improves the shopping experience of customers, and can provide scientific analysis basis for the sales ranking analysis among different stores of the same brand.
In an optional implementation manner of this embodiment, when the passenger flow data is a passenger flow travel track, generating a signal strength map according to a signal strength detection result of the wireless access point array includes: and correspondingly generating a plurality of signal strength graphs according to a plurality of signal strength detection results of the wireless access point array to the same terminal at different moments. Correspondingly, obtaining the passenger flow data based on the statistics of the signal intensity diagram comprises the following steps: respectively calculating the positions of the terminals corresponding to different moments based on the multiple signal intensity maps; and connecting all the terminal positions according to the time corresponding to each terminal position to obtain the passenger flow running track corresponding to the same terminal.
Specifically, the passenger flow trajectory of the embodiment is used to represent an activity route of a single customer in a store, and in the embodiment, after it is detected that a terminal user enters the store, signal strength detection is performed on the terminal periodically, that is, the terminal sends a broadcast signal at a preset time interval, for example, 5s, and a wireless access point near the terminal performs signal strength detection, so that a signal strength map can be obtained at each time. Further, terminal positions are determined for each signal intensity graph, so that terminal positions corresponding to all moments can be obtained, and finally all the terminal positions are connected according to the time sequence, so that the passenger flow running track of the terminal user in the shop can be obtained.
In an optional implementation manner of this embodiment, when the traffic data is in a traffic intensive period, generating a signal strength map according to a signal strength detection result of the wireless access point array includes: and correspondingly generating a plurality of signal strength graphs according to a plurality of signal strength detection results of the wireless access point array at different moments. Correspondingly, obtaining the passenger flow data based on the statistics of the signal intensity diagram comprises the following steps: respectively calculating the number of terminals corresponding to different moments based on a plurality of signal intensity graphs; summarizing the number of terminals corresponding to each time in different time periods to respectively obtain the total passenger flow amount corresponding to the different time periods; and comparing all the obtained passenger flow total amounts, and determining the time period corresponding to the maximum passenger flow total amount as the passenger flow intensive time period.
Specifically, the time period with intensive passenger flow of the embodiment is used for representing the time period with the largest number of customers visiting the store, in the embodiment, a single passenger flow statistics time period includes a plurality of passenger flow statistics times, that is, in the embodiment, all terminals appearing in the time period are obtained based on statistics of all signal strength maps generated in each time period, that is, the total number of customers corresponding to the time period, then, the total number of customers is compared, and the time period corresponding to the time period with the largest total number of customers is determined as the time period with intensive passenger flow.
In an optional implementation manner of this embodiment, when the passenger flow data is the passenger flow residence time, generating a signal strength map according to the signal strength detection result of the wireless access point array includes: and correspondingly generating a plurality of signal strength graphs according to a plurality of signal strength detection results of the wireless access point array to the same terminal at different moments. Correspondingly, obtaining the passenger flow data based on the statistics of the signal intensity diagram comprises the following steps: respectively calculating the positions of the terminals corresponding to different moments based on the multiple signal intensity maps; respectively acquiring moments corresponding to signal intensity graphs of the same terminal appearing at the first time and the last time; and calculating the difference between the time when the terminal appears for the first time and the time when the terminal appears for the last time to obtain the time length of the passenger flow staying in the shop corresponding to the same terminal.
Specifically, the residence time of the passenger flow of the embodiment is used for representing the total residence time of a single customer in the store. In this embodiment, after a customer having a terminal enters a store, periodic signal strength detection is performed on the terminal held by the same customer until the customer leaves the store, the terminal position at each time is determined according to all the obtained signal strength maps, the time corresponding to the signal strength map at which the terminal position appears for the first time is determined as the time when the customer having the terminal enters the store, the time corresponding to the signal strength map at which the terminal position appears for the last time is determined as the time when the customer having the terminal leaves the store, and then the time length for which the customer stays in the store can be determined based on the time when the customer leaves the store and the time when the customer enters the store.
In an optional implementation manner of this embodiment, when the passenger flow data is a passenger flow dense location, generating a signal strength map according to a signal strength detection result of the wireless access point array includes: correspondingly generating a plurality of signal intensity graphs according to a plurality of signal intensity detection results of the wireless access point array at different moments; the step of obtaining passenger flow data based on the statistics of the signal intensity diagram comprises the following steps: respectively calculating the terminal positions of all terminals corresponding to each moment based on the plurality of signal intensity maps; counting the number of the terminals at which the terminals appear at each shop position based on all the calculated terminal positions; carrying out duplicate removal processing on the number of each terminal based on the terminal identification to obtain the actual number of the terminals; and comparing all the obtained actual terminal numbers, and determining the shop position corresponding to the maximum actual terminal number as the passenger flow intensive position.
In particular, the location of high passenger flow in the embodiment is used to characterize the location where customers stay most frequently in the store. In this embodiment, the signal strength detections of the terminals at each time may be represented by the same signal strength diagram, or may be represented by a plurality of different signal strength diagrams. The present embodiment determines the positions of terminals in all signal strength maps generated within a preset time period. Then, the times of the terminals appearing at each store position are comprehensively counted, and since the same customer may visit the same store position for multiple times in practical application, the terminal appearing at each store position repeatedly is deduplicated according to the terminal identification (such as a mac address), so that the cumulative times of different terminals appearing at each store position in a preset time period are obtained, and the store position with the maximum cumulative times is determined as a passenger flow intensive position.
As shown in fig. 4, which is a schematic flow chart of an advertisement push method provided in this embodiment, in an optional implementation manner of this embodiment, after detecting the signal strength of a wireless signal broadcast by a terminal within a signal receiving range through a wireless access point array set in a store, the method further includes the following steps:
and step 403, pushing the corresponding shop advertisement to the terminal based on the user purchasing behavior data.
Specifically, in the embodiment, when the signal strength detection is performed on the terminal to determine that the terminal approaches or enters a store, the terminal is supposed to push the advertisement of the store so as to guide the real-time purchasing behavior of the terminal user. In practical application, the historical passenger flow data of the terminal can represent the historical purchasing behavior of the terminal user, for example, the shopping interest degree of the terminal user in a historical period can be associated through the historical passenger flow residence time, or the shopping interest degree of the terminal user in a specific commodity in a shop can be associated through the historical residence time of a single user as the longest shopping interest degree of the terminal user in the shop, so that the advertisement can be correspondingly pushed according to the user habit data to increase the sales of the shop.
In an optional implementation manner of this embodiment, after obtaining the passenger flow data based on the signal strength map statistics, the method further includes: acquiring all historical passenger flow data obtained through statistics in a preset historical time period; and obtaining predicted passenger flow data corresponding to the preset future time according to all historical passenger flow data.
Specifically, after the current passenger flow data is obtained, historical passenger flow data can be formed by combining the passenger flow data counted in the past, and the future passenger flow data can be reasonably predicted by analyzing the internal rules of the historical passenger flow data, so that accurate data reference can be provided for the shop operators, and the shop operators can conveniently perform commercial layout in advance.
According to the passenger flow data statistical method provided by the embodiment of the invention, firstly, the signal intensity of a wireless signal broadcast by a terminal within a signal receiving range is detected through a wireless access point array arranged in a shop; then generating a signal intensity chart according to the signal intensity detection result of the wireless access point array; and finally, carrying out statistics on the basis of the signal intensity diagram to obtain passenger flow data. By implementing the invention, the wireless access point array in the shop is utilized to detect the signal intensity of the user terminal, and the passenger flow statistics is intelligently carried out based on the detection result of the signal intensity, so that the efficiency and the accuracy of the passenger flow statistics are effectively enhanced, and the diversity and the applicability of the passenger flow statistics are expanded.
Second embodiment:
in order to solve the technical problems of low statistical efficiency, low statistical accuracy and large limitation caused by manual passenger flow statistics in the related art, the present embodiment shows a passenger flow data statistics apparatus, and please refer to fig. 5 specifically, the passenger flow data statistics apparatus of the present embodiment includes:
a detection module 501, configured to detect, through a wireless access point array set in a store, signal strength of a wireless signal broadcast by a terminal within a signal reception range; the wireless access point array comprises a plurality of wireless access points which are respectively distributed at different shop positions;
a generating module 502, configured to generate a signal strength map according to a signal strength detection result of the wireless access point array; the pixel coordinates of the signal intensity graph are matched with the shop position coordinates of the shop;
and the statistic module 503 is configured to obtain the passenger flow data based on the signal strength map statistics.
In some embodiments of this embodiment, when the passenger flow data is a passenger flow trajectory, the generating module 502 is specifically configured to: and correspondingly generating a plurality of signal strength graphs according to a plurality of signal strength detection results of the wireless access point array to the same terminal at different moments. Correspondingly, the statistical module 503 is specifically configured to: respectively calculating the positions of the terminals corresponding to different moments based on the multiple signal intensity maps; and connecting all the terminal positions according to the time corresponding to each terminal position to obtain the passenger flow running track corresponding to the same terminal.
In some embodiments of this embodiment, when the passenger flow data is in a passenger flow intensive period, the generating module 502 is specifically configured to: and correspondingly generating a plurality of signal strength graphs according to a plurality of signal strength detection results of the wireless access point array at different moments. Correspondingly, the statistical module 503 is specifically configured to: respectively calculating the number of terminals corresponding to different moments based on a plurality of signal intensity graphs; summarizing the number of terminals corresponding to each time in different time periods to respectively obtain the total passenger flow amount corresponding to the different time periods; and comparing all the obtained passenger flow total amounts, and determining the time period corresponding to the maximum passenger flow total amount as the passenger flow intensive time period.
In some embodiments of this embodiment, when the passenger flow data is the passenger flow residence time, the generating module 502 is specifically configured to: and correspondingly generating a plurality of signal strength graphs according to a plurality of signal strength detection results of the wireless access point array to the same terminal at different moments. Correspondingly, the statistical module 503 is specifically configured to: respectively calculating the positions of the terminals corresponding to different moments based on the multiple signal intensity maps; respectively acquiring moments corresponding to signal intensity graphs of the same terminal appearing at the first time and the last time; and calculating the difference between the time when the terminal appears for the first time and the time when the terminal appears for the last time to obtain the time length of the passenger flow staying in the shop corresponding to the same terminal.
In some embodiments of this embodiment, when the passenger flow data is a passenger flow dense location, the generating module 502 is specifically configured to: and correspondingly generating a plurality of signal strength graphs according to a plurality of signal strength detection results of the wireless access point array at different moments. Correspondingly, the statistical module 503 is specifically configured to: respectively calculating the terminal positions of all terminals corresponding to each moment based on the plurality of signal intensity maps; counting the number of the terminals at which the terminals appear at each shop position based on all the calculated terminal positions; carrying out duplicate removal processing on the number of each terminal based on the terminal identification to obtain the actual number of the terminals; and comparing all the obtained actual terminal numbers, and determining the shop position corresponding to the maximum actual terminal number as the passenger flow intensive position.
As shown in fig. 6, in another passenger flow statistics apparatus provided in this embodiment, in some embodiments of this embodiment, the passenger flow statistics apparatus further includes: a push module 504, configured to obtain historical passenger flow data corresponding to a terminal after detecting, by a wireless access point array provided in a store, a signal strength of a wireless signal broadcast by the terminal within a signal reception range; analyzing user purchasing behavior data corresponding to the terminal based on historical passenger flow data; and pushing the corresponding shop advertisement to the terminal based on the user purchasing behavior data.
Referring to fig. 6 again, in some embodiments of the present embodiment, the passenger flow statistics apparatus further includes: a prediction module 505 for: after passenger flow data are obtained through statistics based on the signal intensity diagram, all historical passenger flow data obtained through statistics in a preset historical time period are obtained; and obtaining predicted passenger flow data corresponding to the preset future time according to all historical passenger flow data.
It should be noted that, the passenger flow data statistics method in the foregoing embodiment can be implemented based on the passenger flow data statistics device provided in this embodiment, and it can be clearly understood by a person having ordinary skill in the art that, for convenience and simplicity of description, a specific working process of the passenger flow data statistics device described in this embodiment may refer to a corresponding process in the foregoing method embodiment, and details are not described here.
By adopting the passenger flow data statistical device provided by the embodiment, the signal intensity of the wireless signal broadcast by the terminal in the signal receiving range is detected through the wireless access point array arranged in the shop; then generating a signal intensity chart according to the signal intensity detection result of the wireless access point array; and finally, carrying out statistics on the basis of the signal intensity diagram to obtain passenger flow data. By implementing the invention, the wireless access point array in the shop is utilized to detect the signal intensity of the user terminal, and the passenger flow statistics is intelligently carried out based on the detection result of the signal intensity, so that the efficiency and the accuracy of the passenger flow statistics are effectively enhanced, and the diversity and the applicability of the passenger flow statistics are expanded.
The third embodiment:
the present embodiment provides an electronic apparatus, as shown in fig. 7, which includes a processor 701, a memory 702, and a communication bus 703, wherein: the communication bus 703 is used for realizing connection communication between the processor 701 and the memory 702; the processor 701 is configured to execute one or more computer programs stored in the memory 702 to implement at least one step of the passenger flow data statistics method in the first embodiment.
The present embodiments also provide a computer-readable storage medium including volatile or non-volatile, removable or non-removable media implemented in any method or technology for storage of information such as computer-readable instructions, data structures, computer program modules or other data. Computer-readable storage media include, but are not limited to, RAM (Random Access Memory), ROM (Read-Only Memory), EEPROM (Electrically Erasable Programmable Read-Only Memory), flash Memory or other Memory technology, CD-ROM (Compact disk Read-Only Memory), Digital Versatile Disks (DVD) or other optical disk storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other medium which can be used to store the desired information and which can be accessed by a computer.
The computer-readable storage medium in this embodiment may be used for storing one or more computer programs, and the stored one or more computer programs may be executed by a processor to implement at least one step of the method in the first embodiment.
The present embodiment also provides a computer program, which can be distributed on a computer readable medium and executed by a computing device to implement at least one step of the method in the first embodiment; and in some cases at least one of the steps shown or described may be performed in an order different than that described in the embodiments above.
The present embodiments also provide a computer program product comprising a computer readable means on which a computer program as shown above is stored. The computer readable means in this embodiment may include a computer readable storage medium as shown above.
It will be apparent to those skilled in the art that all or some of the steps of the methods, systems, functional modules/units in the devices disclosed above may be implemented as software (which may be implemented in computer program code executable by a computing device), firmware, hardware, and suitable combinations thereof. In a hardware implementation, the division between functional modules/units mentioned in the above description does not necessarily correspond to the division of physical components; for example, one physical component may have multiple functions, or one function or step may be performed by several physical components in cooperation. Some or all of the physical components may be implemented as software executed by a processor, such as a central processing unit, digital signal processor, or microprocessor, or as hardware, or as an integrated circuit, such as an application specific integrated circuit.
In addition, communication media typically embodies computer readable instructions, data structures, computer program modules or other data in a modulated data signal such as a carrier wave or other transport mechanism and includes any information delivery media as known to one of ordinary skill in the art. Thus, the present invention is not limited to any specific combination of hardware and software.
The foregoing is a more detailed description of embodiments of the present invention, and the present invention is not to be considered limited to such descriptions. For those skilled in the art to which the invention pertains, several simple deductions or substitutions can be made without departing from the spirit of the invention, and all shall be considered as belonging to the protection scope of the invention.
Claims (10)
1. A method for statistics of passenger flow data, comprising:
detecting the signal intensity of a wireless signal broadcast by a terminal within a signal receiving range through a wireless access point array arranged in a shop; the wireless access point array comprises a plurality of wireless access points which are respectively distributed at different shop positions;
generating a signal intensity chart according to the signal intensity detection result of the wireless access point array; wherein the pixel coordinates of the signal intensity map are matched with the store position coordinates of the store;
and counting passenger flow data based on the signal intensity diagram.
2. The method of claim 1, wherein when the traffic data is a traffic trajectory, the generating a signal strength map according to the signal strength detection result of the wireless access point array comprises:
correspondingly generating a plurality of signal intensity graphs according to a plurality of signal intensity detection results of the wireless access point array to the same terminal at different moments;
the obtaining passenger flow data based on the statistics of the signal intensity maps comprises:
respectively calculating the terminal positions corresponding to the different moments based on the multiple signal intensity maps;
and connecting all terminal positions according to the time corresponding to each terminal position to obtain the passenger flow running track corresponding to the same terminal.
3. The method of claim 1, wherein the generating a signal strength map according to the signal strength detection results of the wireless access point array when the traffic data is in a traffic intensive period comprises:
correspondingly generating a plurality of signal intensity graphs according to a plurality of signal intensity detection results of the wireless access point array at different moments;
the obtaining passenger flow data based on the statistics of the signal intensity maps comprises:
respectively calculating the number of terminals corresponding to the different moments based on the multiple signal intensity graphs;
summarizing the number of the terminals corresponding to each time in different time periods to respectively obtain the total passenger flow amount corresponding to the different time periods;
and comparing all the obtained passenger flow total amounts, and determining the time period corresponding to the maximum passenger flow total amount as the passenger flow intensive time period.
4. The method of claim 1, wherein the generating a signal strength map according to the signal strength detection results of the wireless access point array when the traffic data is a traffic residence time comprises:
correspondingly generating a plurality of signal intensity graphs according to a plurality of signal intensity detection results of the wireless access point array to the same terminal at different moments;
the obtaining passenger flow data based on the statistics of the signal intensity maps comprises:
respectively calculating the terminal positions corresponding to the different moments based on the multiple signal intensity maps;
respectively acquiring moments corresponding to signal intensity graphs of the same terminal appearing for the first time and the last time;
and calculating the difference between the time when the terminal appears for the first time and the time when the terminal appears for the last time to obtain the residence time of the passenger flow in the shop corresponding to the same terminal.
5. The method of claim 1, wherein the generating a signal strength map according to the signal strength detection results of the wireless access point array when the traffic data is a traffic-intensive location comprises:
correspondingly generating a plurality of signal intensity graphs according to a plurality of signal intensity detection results of the wireless access point array at different moments;
the obtaining passenger flow data based on the statistics of the signal intensity maps comprises:
respectively calculating the terminal positions of all the terminals corresponding to each moment based on the plurality of signal intensity maps;
counting the number of the terminals at which the terminals appear at each shop position based on all the calculated terminal positions;
carrying out duplicate removal processing on the number of the terminals based on the terminal identification to obtain the actual number of the terminals;
and comparing all the obtained actual terminal numbers, and determining the shop position corresponding to the maximum actual terminal number as the passenger flow intensive position.
6. The method according to any one of claims 1 to 5, wherein after detecting the signal strength of the wireless signal broadcast from the terminal within the signal reception range by the wireless access point array installed in the store, the method further comprises:
acquiring historical passenger flow data corresponding to the terminal;
analyzing user purchasing behavior data corresponding to the terminal based on the historical passenger flow data;
and pushing corresponding shop advertisements to the terminal based on the user purchasing behavior data.
7. The method for counting passenger flow data according to any one of claims 1 to 5, wherein after the step of counting the passenger flow data based on the signal intensity map, the method further comprises:
acquiring all historical passenger flow data obtained through statistics in a preset historical time period;
and obtaining the predicted passenger flow data corresponding to the preset future time according to all the historical passenger flow data.
8. A passenger flow statistics device, comprising:
the detection module is used for detecting the signal intensity of the wireless signals broadcast by the terminals within the signal receiving range through the wireless access point array arranged in the shop; the wireless access point array comprises a plurality of wireless access points which are respectively distributed at different shop positions;
a generating module, configured to generate a signal strength map according to a signal strength detection result of the wireless access point array; wherein the pixel coordinates of the signal intensity map are matched with the store position coordinates of the store;
and the statistical module is used for obtaining passenger flow data based on the signal intensity graph statistics.
9. An electronic device, comprising: a processor, a memory, and a communication bus;
the communication bus is used for realizing connection communication between the processor and the memory;
the processor is configured to execute one or more programs stored in the memory to implement the steps of the passenger flow data statistics method according to any one of claims 1 to 7.
10. A computer readable storage medium, characterized in that the computer readable storage medium stores one or more programs which are executable by one or more processors to implement the steps of the passenger flow data statistics method according to any one of claims 1 to 7.
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