CN106028391B - People flow statistical method and device - Google Patents
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- CN106028391B CN106028391B CN201610335126.3A CN201610335126A CN106028391B CN 106028391 B CN106028391 B CN 106028391B CN 201610335126 A CN201610335126 A CN 201610335126A CN 106028391 B CN106028391 B CN 106028391B
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Abstract
The invention discloses a people flow statistical method and a people flow statistical device, and belongs to the technical field of Bluetooth positioning. The method comprises the following steps: receiving an equipment list reported by a target Bluetooth collector in a target site at preset time intervals, wherein the equipment list comprises the identification of Bluetooth equipment scanned by the target Bluetooth collector; acquiring the appearance duration of each Bluetooth device included in a target device list, wherein the target device list is a device list received from a target Bluetooth collector for the last time, and the appearance duration of the ith Bluetooth device included in the target device list is the appearance duration of the ith Bluetooth device in an area corresponding to the target Bluetooth collector; and acquiring the number of the Bluetooth devices with the occurrence duration longer than the preset duration, and taking the number as the real-time people flow in the area corresponding to the target Bluetooth collector. The invention improves the accuracy of the statistical result of the real-time pedestrian volume.
Description
Technical Field
The invention relates to the technical field of Bluetooth positioning, in particular to a people flow statistical method and a people flow statistical device.
Background
Bluetooth positioning technology is a technology for positioning a bluetooth device using a bluetooth broadcast signal.
In the prior art, a people flow rate statistical method based on a bluetooth positioning technology is provided, in which a plurality of bluetooth collectors are deployed in a target site, and the bluetooth collectors collect bluetooth broadcast signals sent by surrounding bluetooth devices, so as to count the number of the bluetooth devices around the bluetooth collectors, thereby determining real-time people flow rate in an area corresponding to the bluetooth collectors. That is, the number of the bluetooth devices around the bluetooth collector is used as the real-time traffic of people in the area corresponding to the bluetooth collector.
In the prior art, because it is not distinguished whether a user wearing the bluetooth device passes through the area corresponding to the bluetooth collector or actually stays in the area corresponding to the bluetooth collector, the above statistical result of the real-time traffic is not accurate.
Disclosure of Invention
In order to solve the problems in the prior art, embodiments of the present invention provide a people flow rate statistical method and device. The technical scheme is as follows:
in a first aspect, a people flow rate statistical method is provided, the method including:
receiving an equipment list reported by a target Bluetooth collector in a target site at intervals of preset time, wherein the equipment list comprises identifications of Bluetooth equipment scanned by the target Bluetooth collector, N Bluetooth collectors are deployed in the target site, the target Bluetooth collector is one of the N Bluetooth collectors, and N is a positive integer;
acquiring the occurrence duration of each Bluetooth device included in a target device list, wherein the target device list is a device list received from the target Bluetooth collector last time, the occurrence duration of an ith Bluetooth device included in the target device list is the occurrence duration of the ith Bluetooth device in an area corresponding to the target Bluetooth collector, and i is a positive integer;
acquiring the number of the Bluetooth devices with the occurrence duration longer than the preset duration, and taking the number as the real-time pedestrian volume in the area corresponding to the target Bluetooth collector, wherein the real-time pedestrian volume in the area refers to the number of people staying in the area at the current moment;
selecting a first Bluetooth collector with the real-time pedestrian flow rate meeting a first preset condition and a second Bluetooth collector with the real-time pedestrian flow rate meeting a second preset condition according to the real-time pedestrian flow rates in the areas corresponding to the N Bluetooth collectors; the first preset condition is that the real-time pedestrian volume is larger than a first threshold, the second preset condition is that the real-time pedestrian volume is smaller than a second threshold, and the first threshold is larger than or equal to the second threshold;
determining a target Bluetooth device according to a device list reported last time by the first Bluetooth collector, wherein the target Bluetooth device is a Bluetooth device located in an area corresponding to the first Bluetooth collector;
and sending path recommendation information to the user terminal bound with the target Bluetooth device, wherein the path recommendation information comprises the geographical position information corresponding to the second Bluetooth collector.
In a second aspect, a people flow statistics apparatus is provided, the apparatus comprising:
the device comprises a list receiving module, a list processing module and a list processing module, wherein the list receiving module is used for receiving a device list reported by a target Bluetooth collector in a target site at intervals of preset time, the device list comprises the identification of Bluetooth devices scanned by the target Bluetooth collector, N Bluetooth collectors are deployed in the target site, the target Bluetooth collector is one of the N Bluetooth collectors, and N is a positive integer;
a duration obtaining module, configured to obtain an appearance duration of each bluetooth device included in a target device list, where the target device list is a device list that is received from the target bluetooth collector last time, the appearance duration of an ith bluetooth device included in the target device list is a duration that the ith bluetooth device appears in an area corresponding to the target bluetooth collector, and i is a positive integer;
the people flow rate obtaining module is used for obtaining the number of the Bluetooth devices with the occurrence duration longer than the preset duration, and taking the number as the real-time people flow rate in the area corresponding to the target Bluetooth collector, wherein the real-time people flow rate in the area refers to the number of people staying in the area at the current moment;
the first selection module is used for selecting a first Bluetooth collector with the real-time pedestrian flow meeting a first preset condition and a second Bluetooth collector with the real-time pedestrian flow meeting a second preset condition according to the real-time pedestrian flow in the areas corresponding to the N Bluetooth collectors; the first preset condition is that the real-time pedestrian volume is larger than a first threshold value, and the second preset condition is that the real-time pedestrian volume is smaller than a second threshold value; wherein the first threshold is greater than or equal to the second threshold;
the device determining module is used for determining a target Bluetooth device according to a device list reported last time by the first Bluetooth collector, wherein the target Bluetooth device is a Bluetooth device located in an area corresponding to the first Bluetooth collector;
and the information sending module is used for sending path recommendation information to the user terminal bound with the target Bluetooth device, wherein the path recommendation information comprises the geographical position information corresponding to the second Bluetooth collector.
In a third aspect, a computer-readable storage medium is provided, in which a computer program is stored, the computer program being used for implementing the people flow rate statistical method according to the first aspect.
The technical scheme provided by the embodiment of the invention has the following beneficial effects:
acquiring the number of the Bluetooth devices with the occurrence duration time longer than the preset duration time by acquiring the occurrence duration time of each Bluetooth device included in the target device list, and taking the number as the real-time pedestrian volume in the area corresponding to the target Bluetooth collector; the problem that the statistical result of the real-time pedestrian volume is inaccurate in the prior art is solved; through counting and analyzing the occurrence duration of the Bluetooth equipment in the area corresponding to the Bluetooth collector, the method and the device realize that the user only passes through the area corresponding to the Bluetooth collector or really stays in the area, determine the real-time pedestrian volume in the area according to the number of the users really staying in the area, and improve the accuracy of the counting result of the real-time pedestrian volume.
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 is a schematic illustration of an implementation environment provided by one embodiment of the invention;
FIG. 2 is a flow chart of a people flow statistics method provided by an embodiment of the invention;
FIG. 3A is a flow chart of a people flow statistical method according to another embodiment of the present invention;
FIG. 3B is a flow chart of a people flow statistics method according to another embodiment of the present invention;
FIG. 4 is a block diagram of a people flow statistics apparatus provided in accordance with an embodiment of the present invention;
FIG. 5 is a block diagram of a people flow statistics apparatus according to another embodiment of the present invention;
fig. 6 is a schematic structural diagram of a server according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, embodiments of the present invention will be described in detail with reference to the accompanying drawings.
Referring to fig. 1, a schematic diagram of an implementation environment provided by an embodiment of the present invention is shown, where the implementation environment includes: server 120, N bluetooth collectors 140 deployed in the target site, and a number of bluetooth devices 160.
The server 120 may be a server, a server cluster composed of several servers, or a cloud computing service center. The server 120 establishes communication connection with each bluetooth collector 140 through a wired network or a wireless network. The server 120 may directly establish a communication connection with the bluetooth collector 140, or may establish a communication connection with the bluetooth collector 140 through a relay device, where the relay device may be a gateway, a router, or the bluetooth collector 140.
The bluetooth collector 140 has a bluetooth signal collecting function. The bluetooth collector 140 is configured to collect bluetooth broadcast signals sent by bluetooth devices 160 around the bluetooth collector, generate a device list, and report the device list to the server 120. The device list includes the identities of bluetooth devices 160 scanned by bluetooth collector 140.
Bluetooth device 160 can be the wearable equipment that possesses bluetooth signal emission function, like intelligent shoes, intelligent bracelet, intelligent wrist-watch, the bluetooth anti-lost device that inlays the bluetooth chip etc.. The bluetooth anti-lost device is usually made into a small-sized label shape, and is convenient to be matched with personal articles such as keys, wallets and the like for use. When the user wears the bluetooth device 160 to move in the target place, the bluetooth device 160 sends out a bluetooth broadcast signal, and the bluetooth broadcast signal carries the identifier of the bluetooth device 160. The identification of the bluetooth device 160 may be a Media Access Control (MAC) address of the bluetooth device, or may be another unique identifier.
Optionally, the implementation environment further comprises: a user terminal 180.
The user terminal 180 may be a portable electronic device such as a mobile phone, a tablet computer, a multimedia player, and the like. The user terminal 180 may communicate with the server 120 through a wireless network. The same user can wear the bluetooth device 160 and simultaneously carry the user terminal 180, and establish a binding relationship between the bluetooth device 160 and the user terminal 180.
Furthermore, the target site referred to herein may be any site where people's traffic needs to be counted, such as an amusement park, a scenic spot, a mall, a shopping center, a hospital, a museum, etc. Bluetooth collector 140 is deployed on demand at one or more specific locations within the target site. Taking an amusement park as an example, the bluetooth collectors 140 may be respectively deployed at the positions of one or more amusement projects, so as to respectively count the traffic of people at the positions of the amusement projects. Or, for example, a shopping mall, the bluetooth collector 140 may be deployed at one or more storefronts, so as to count the traffic at the positions of the storefronts. In addition, the area in which the bluetooth collector 140 is deployed can locate the position (i.e., the user position) of the bluetooth device 160 according to the collected bluetooth broadcast signal. In practical applications, the bluetooth collector 140 may be deployed in some or all areas of a target site according to the requirement for positioning the user. The signal detection range of each bluetooth collector 140 is usually about 10 m to 20 m, and the deployment point of the bluetooth collector 140 can be set according to the signal detection range and the actual positioning requirement.
Referring to fig. 2, a flowchart of a people flow statistics method according to an embodiment of the present invention is shown, which can be applied to the server 120 in the implementation environment shown in fig. 1. The method may include several steps as follows.
And step 206, acquiring the number of the Bluetooth devices with the occurrence duration longer than the preset duration, and taking the number as the real-time pedestrian volume in the area corresponding to the target Bluetooth collector.
In summary, in the method provided in this embodiment, the occurrence duration of each bluetooth device included in the target device list is obtained, the number of bluetooth devices whose occurrence durations are greater than the preset duration is obtained, and the number is used as the real-time pedestrian volume in the area corresponding to the target bluetooth collector; the problem that the statistical result of the real-time pedestrian volume is inaccurate in the prior art is solved; through counting and analyzing the occurrence duration of the Bluetooth equipment in the area corresponding to the Bluetooth collector, the method and the device realize that the user only passes through the area corresponding to the Bluetooth collector or really stays in the area, determine the real-time pedestrian volume in the area according to the number of the users really staying in the area, and improve the accuracy of the counting result of the real-time pedestrian volume.
Referring to fig. 3A, a flowchart of a people flow statistics method according to another embodiment of the invention is shown, which can be applied to the server 120 in the implementation environment shown in fig. 1. The method may include several steps as follows.
And the server receives the device list reported by the target Bluetooth collector in the target place at preset time intervals. The device list includes the identities of the bluetooth devices scanned by the target bluetooth collector. N Bluetooth collectors are deployed in a target place, the target Bluetooth collector is one of the N Bluetooth collectors, and N is a positive integer. Each bluetooth collector collects bluetooth broadcast messages sent by the bluetooth devices around the bluetooth collector to generate a device list, wherein the device list comprises the identifiers of the bluetooth devices scanned by the bluetooth collector, namely the identifiers of the bluetooth devices carried in the bluetooth broadcast messages collected by the bluetooth collector. The Bluetooth collector reports the equipment list to the server at preset time intervals, and the two adjacent preset time intervals are usually the same but can be different.
The server acquires the presence duration of each bluetooth device included in the target device list. The target device list is a device list received from the target bluetooth collector last time, the appearance duration of the ith bluetooth device included in the target device list is the appearance duration of the ith bluetooth device in the area corresponding to the target bluetooth collector, and i is a positive integer.
Taking the example of obtaining the duration of the presence of the ith bluetooth device, in one possible implementation, step 302 includes the following sub-steps:
1. for the ith Bluetooth device, acquiring the latest appearance moment of the ith Bluetooth device;
the server obtains the latest appearance moment of the ith Bluetooth device. The latest appearance time of the ith Bluetooth device refers to the time when the ith Bluetooth device is detected to appear in the area corresponding to the target Bluetooth collector for the latest time. That is, the server determines the relevant time of the target device list as the latest occurrence time of the ith bluetooth device. The relevant time of the target device list is: the receiving time of the target device list, or the sending time of the target device list, or the time recorded in the target device list when the ith Bluetooth device is scanned.
2. Acquiring the initial appearance moment of the ith Bluetooth device;
the server obtains the initial appearance moment of the ith Bluetooth device. The initial appearance time of the ith Bluetooth device is the initial time when the ith Bluetooth device continuously detects that the ith Bluetooth device appears in the area corresponding to the target Bluetooth collector from the latest appearance time. Specifically, the server determines the relevant time of the initial device list corresponding to the ith bluetooth device as the initial appearance time of the ith bluetooth device.
The initial device list corresponding to the ith Bluetooth device is a device list which is sent by the target Bluetooth collector and meets the following conditions: the device list sent before the initial device list corresponding to the ith Bluetooth device does not include the identifier of the ith Bluetooth device, and each device list from the initial device list corresponding to the ith Bluetooth device to the target device list includes the identifier of the Bluetooth device.
The relevant time of the initial device list corresponding to the ith bluetooth device is as follows: the receiving time of the initial device list corresponding to the ith Bluetooth device, or the sending time of the initial device list corresponding to the ith Bluetooth device, or the time recorded in the initial device list corresponding to the ith Bluetooth device when the ith Bluetooth device is scanned.
Taking the identifier of the ith bluetooth device as an example a, it is assumed that whether the device list sequentially reported several times before the target bluetooth collector sends the target device list includes the identifier a as shown in the following table-1:
| device list sequentially and continuously reported by target Bluetooth collector | Whether or not the device list includes the identifier a |
| …… | …… |
| Equipment List E (report n-5) | Is that |
| Equipment List D (report n-4) | Whether or not |
| Equipment List C (report n-3) | Is that |
| Equipment List B (n-2 th report) | Is that |
| Equipment List A (n-1 st report) | Is that |
| Target equipment list (nth report) | Is that |
TABLE-1
The initial device list corresponding to the ith bluetooth device is the device list C, and the initial occurrence time of the ith bluetooth device is the relevant time of the device list C.
3. And determining the time interval from the initial appearance time of the ith Bluetooth device to the latest appearance time of the ith Bluetooth device as the appearance duration of the ith Bluetooth device.
And the server determines the time interval from the initial appearance moment of the ith Bluetooth device to the latest appearance moment of the ith Bluetooth device as the appearance duration of the ith Bluetooth device.
In this embodiment, the execution order of the 1 st and 2 nd sub-steps is not limited, and the 2 nd sub-step may be performed after the 1 st sub-step, before the 1 st sub-step, or simultaneously with the 1 st sub-step.
And 303, acquiring the number of the Bluetooth devices with the continuous duration longer than the preset duration, and taking the number as the real-time pedestrian volume in the area corresponding to the target Bluetooth collector.
The server acquires the number of the Bluetooth devices with the duration longer than the preset duration, and the number is used as the real-time people flow in the area corresponding to the target Bluetooth collector. The real-time people flow in the area refers to the number of people staying in the area at the current moment. The preset time period may be an empirical value preset according to actual requirements, such as 3 minutes. For example, the target device list includes 50 different bluetooth devices, where the appearance duration of 40 bluetooth devices is longer than the preset duration, and the real-time people flow rate in the area corresponding to the target bluetooth collector is 40 people.
In this embodiment, by counting and analyzing the occurrence duration of the bluetooth device in the area corresponding to the bluetooth collector, whether the user passes through the area corresponding to the bluetooth collector or actually stays in the area is distinguished, the real-time traffic in the area is determined according to the number of the users actually staying in the area, and the accuracy of the statistical result of the real-time traffic is improved.
Optionally, the method provided in this embodiment further includes the following steps 304 to 306.
And 304, selecting a first Bluetooth collector with real-time pedestrian volume meeting a first preset condition and a second Bluetooth collector with real-time pedestrian volume meeting a second preset condition according to the real-time pedestrian volume in the area corresponding to each of the N Bluetooth collectors.
The server selects a first Bluetooth collector with real-time people flow rate meeting a first preset condition and a second Bluetooth collector with real-time people flow rate meeting a second preset condition according to real-time people flow rates in areas corresponding to the N Bluetooth collectors respectively. The first preset condition and the second preset condition may be configured in the server in advance.
In a possible embodiment, the first preset condition is that the real-time human flow rate is greater than a first threshold, and the second preset condition is that the real-time human flow rate is less than a second threshold. Wherein the first threshold is greater than or equal to the second threshold. For example, the first threshold and the second threshold are equal and both are 50. As another example, the first threshold is 80 and the second threshold is 20.
The first threshold and the second threshold may be pre-configured in the server according to actual needs. In addition, the first threshold and the second threshold may be fixed or adjustable. For example, different first and second thresholds are set for the peak hours of people flow and the low hours of people flow, respectively. For example, during peak hours of people flow, the first threshold is 150 and the second threshold is 50; during periods of low peak traffic, the first threshold is 80 and the second threshold is 20.
And 305, determining a target Bluetooth device according to the device list reported last time by the first Bluetooth collector, wherein the target Bluetooth device is a Bluetooth device located in the area corresponding to the first Bluetooth collector.
And the server determines a target Bluetooth device according to the device list reported last time by the first Bluetooth collector, wherein the target Bluetooth device is a Bluetooth device located in the area corresponding to the first Bluetooth collector. That is, the target bluetooth device refers to all bluetooth devices included in the device list reported last time by the first bluetooth collector.
And the server sends path recommendation information to the user terminal bound with the target Bluetooth device, wherein the path recommendation information comprises the geographical position information corresponding to the second Bluetooth collector. In the embodiment, a server actively determines part of user terminals in a target place and sends path recommendation information to the user terminals, so that the purpose of drainage is achieved.
Optionally, when the first preset condition is set that the real-time pedestrian volume is greater than the first threshold, and the second preset condition is set that the real-time pedestrian volume is less than the second threshold, the path recommendation information can be sent to the user terminal in the area with the large real-time pedestrian volume, and the area with the small real-time pedestrian volume is recommended to the part of users, so that the users are guided to evacuate from the area with the large real-time pedestrian volume to the area with the small real-time pedestrian volume, and the balance of the real-time pedestrian volumes of the areas in the target site is ensured.
Optionally, for each user terminal bound to the target bluetooth device, the server further obtains geographic position information of the user terminal, selects a second bluetooth collector whose distance from the user terminal meets a specified preset condition according to the geographic position information of the user terminal and the geographic position information corresponding to each second bluetooth collector, and sends path recommendation information to the user terminal, where the path recommendation information includes the geographic position information of the selected second bluetooth collector. The predetermined condition may be configured in the server in advance, for example, the predetermined condition is that the distance between the predetermined condition and the ue is the closest, or the distance between the predetermined condition and the ue is smaller than the predetermined distance, and the like. By the method, different path recommendation information can be provided in a targeted manner for different users. For example, the position closest or closer to the user can be recommended to the user, and path recommendation information which is more appropriate and meets the requirements of the user is provided for the user. In addition, the manner in which the server obtains the geographical location information of the user terminal is described and illustrated below.
In addition, it is only one possible embodiment that the first preset condition is set that the real-time people flow rate is greater than the first threshold value, and the second preset condition is set that the real-time people flow rate is smaller than the second threshold value, and in other possible embodiments, different settings can be performed according to actual requirements. For example, the first preset condition may be set to be that the real-time people flow rate is smaller than a third threshold, the second preset condition is set to be that the real-time people flow rate is larger than a fourth threshold, and the third threshold is smaller than or equal to the fourth threshold, so as to guide the user to gather from an area with small real-time people flow rate to an area with large real-time people flow rate.
In summary, in the method provided in this embodiment, the occurrence duration of each bluetooth device included in the target device list is obtained, the number of bluetooth devices whose occurrence durations are greater than the preset duration is obtained, and the number is used as the real-time pedestrian volume in the area corresponding to the target bluetooth collector; the problem that the statistical result of the real-time pedestrian volume is inaccurate in the prior art is solved; through counting and analyzing the occurrence duration of the Bluetooth equipment in the area corresponding to the Bluetooth collector, the method and the device realize that the user only passes through the area corresponding to the Bluetooth collector or really stays in the area, determine the real-time pedestrian volume in the area according to the number of the users really staying in the area, and improve the accuracy of the counting result of the real-time pedestrian volume.
In addition, the method provided by the embodiment also realizes that the path recommendation is actively performed on part of users in the target place based on the real-time pedestrian volume of each area in the target place, so that the tour requirements and experiences of the users in the target place can be better met on one hand, and the purpose of drainage can be achieved on the other hand.
Optionally, in an optional embodiment provided based on the embodiment shown in fig. 2 or fig. 3A, as shown in fig. 3B, the method provided in this embodiment further includes the following steps 307 to 309.
The server receives a path recommendation request sent by a target user terminal. The path recommendation request is used for requesting the server to recommend a target place which is suitable to be reached currently in the target place.
And 308, selecting the Bluetooth collectors with the real-time pedestrian volume meeting a third preset condition according to the real-time pedestrian volumes in the areas corresponding to the N Bluetooth collectors.
And the server selects the Bluetooth collectors with the real-time pedestrian volume meeting a third preset condition according to the real-time pedestrian volumes in the areas corresponding to the N Bluetooth collectors. The third preset condition may be configured in the server in advance, or may be indicated in the path recommendation request transmitted by the target user terminal. The third preset condition may be that the real-time pedestrian volume is the largest, or the real-time pedestrian volume is the smallest, or the real-time pedestrian volume is larger than the first threshold, or the real-time pedestrian volume is smaller than the second threshold, or the real-time pedestrian volume belongs to the target value range, and so on.
For example, if the third preset condition is preset in the server to be that the real-time people flow rate is minimum, the server selects the bluetooth collector with the minimum real-time people flow rate according to the real-time people flow rates in the respective corresponding areas of the N bluetooth collectors. For another example, the path recommendation request sent by the user terminal carries indication information of a target location requesting for recommending the maximum real-time pedestrian volume, and the server selects the bluetooth collector with the maximum real-time pedestrian volume according to the real-time pedestrian volume in the respective corresponding area of the N bluetooth collectors.
And 309, sending recommended position information to the target user terminal according to the geographical position information corresponding to the selected Bluetooth collector.
And the server sends recommended position information to the target user terminal according to the geographical position information corresponding to the selected Bluetooth collector. The server stores geographical position information corresponding to each Bluetooth collector in advance.
In a possible implementation manner, the recommended position information sent by the server to the target user terminal includes the geographical position information corresponding to each selected bluetooth collector.
In another possible implementation manner, the server further obtains geographical position information of the target user terminal, and selects a recommended bluetooth collector from the selected bluetooth collectors according to the geographical position information of the target user terminal and the geographical position information corresponding to the selected bluetooth collector, wherein the recommended bluetooth collector is a bluetooth collector whose distance from the target user terminal meets a fourth preset condition; and sending recommended position information to the target user terminal, wherein the recommended position information comprises the geographical position information corresponding to the recommended Bluetooth collector. The fourth preset condition may be configured in the server in advance, or may be indicated in the path recommendation request transmitted by the target user terminal. For example, the fourth preset condition is that the distance to the target user terminal is closest, or the distance to the target user terminal is smaller than the preset distance, and so on. In addition, the server obtains the geographical location information of the target ue, as described and illustrated below.
In the embodiment shown in fig. 3A, it is implemented that the server actively performs path recommendation to some users in the target location, in this embodiment, after receiving a path recommendation request sent by the target user terminal, the server feeds back recommendation position information to the target user terminal, and the user actively requests the server to provide a path recommendation service.
Next, a description will be given of a manner in which the server acquires the geographical location information of the user terminal. Taking the example of obtaining the geographical position information of the target user terminal, the scheme of actively recommending the path for the server is adopted, wherein the target user terminal is one of the user terminals bound with the target Bluetooth equipment; for the scheme that the user actively requests the server to perform the path recommendation, the target user terminal is the user terminal sending the path recommendation request, and the path recommendation request comprises the identifier of the Bluetooth device bound with the target user terminal. The server may obtain the geographical location information of the target user terminal as follows:
1. acquiring a specified device list, wherein the specified device list is a device list which is received recently and comprises the identification of the Bluetooth device bound with the target user terminal;
2. determining an appointed Bluetooth collector, wherein the appointed Bluetooth collector is a Bluetooth collector which sends the appointed equipment list;
3. and determining the geographical position information of the user terminal according to the geographical position information corresponding to the designated Bluetooth collector.
When the number of the appointed equipment list is one, the server directly takes the Bluetooth collector which sends the appointed equipment list as an appointed Bluetooth collector, and takes the geographical position information corresponding to the appointed Bluetooth collector as the geographical position information of the target user terminal.
When the number of the designated device list is multiple, for example, multiple bluetooth collectors scan the bluetooth devices bound to the target user terminal at the same time or all the bluetooth devices bound to the target user terminal are included in the device list reported by the multiple bluetooth collectors at the same time, in a possible implementation manner, the server selects a designated device list from the plurality of designated device lists according to a preset manner, takes the bluetooth collector which sends the selected designated device list as a designated bluetooth collector, and the geographic position information corresponding to the appointed Bluetooth collector is used as the geographic position information of the target user terminal, the preset mode may be a random selection mode, or may be a device list that selects the device list with the highest recorded received signal strength according to the received signal strength of the bluetooth broadcast signal recorded in the device list; in another possible implementation, the server obtains geographical location information corresponding to each of a plurality of designated bluetooth collectors corresponding to the plurality of designated device lists, and takes a central location of the geographical location information corresponding to each of the plurality of designated bluetooth collectors as geographical location information of the target user terminal, for example, when the number of designated bluetooth collectors is 2, the central location of the 2 designated bluetooth collectors is taken as the geographical location information of the target user terminal, and for example, when the number of designated bluetooth collectors is 3 or more than 3, the central location of a polygon formed by the 3 or more than 3 designated bluetooth collectors is taken as the geographical location information of the target user terminal. Through the mode, the position of the user terminal can be simply and efficiently determined according to the positions of the Bluetooth collectors.
Optionally, in another optional embodiment provided based on the above embodiment shown in fig. 2, fig. 3A, or fig. 3B, the method further includes the following steps: and the server counts the movement track corresponding to each Bluetooth device, and acquires the Bluetooth devices of which the movement tracks accord with a fifth preset condition. And the movement track corresponding to the Bluetooth equipment comprises a target area which is reached by the Bluetooth equipment and the stay time of which exceeds the preset time. The fifth preset condition may be configured in the server in advance, for example, the fifth preset condition is that the target site is reached and stays in one or more designated areas for more than the preset time period. For the Bluetooth equipment with the movement track meeting the fifth preset condition, corresponding article rewards can be carried out on the user wearing the Bluetooth equipment, so that the effects of path recommendation and guidance are promoted. The item may be a virtual item on a line, such as a point; or an off-line physical object such as a toy, food, etc.
In an illustrative example, taking a target site as an amusement park as an example, the bluetooth collectors may be deployed at specific locations such as entrances and exits of amusement parks, roller coasters, hobbyhorse cars, bumper cars, and the like. A user wears a Bluetooth device (such as a smart shoe or a smart bracelet embedded with a Bluetooth chip) to play in a playground. The server can realize the statistics of the real-time people flow at each specific position according to the device list reported by each Bluetooth collector in a scanning way. Furthermore, according to the real-time people flow at each specific position, an entrance with less real-time people flow can be actively recommended for the user so that the user can enter/exit the park quickly, and the amusement items with less real-time people flow can also be actively recommended for the user so as to save queuing time of the user and the like, so that the purposes of people flow dispersion and management and control in the amusement park are achieved. Optionally, the movement tracks of the users in the amusement park can be counted, and when the movement tracks meet preset conditions, for example, when the users arrive at and experience a certain specific amusement item/items, the users are rewarded with corresponding points or prizes.
In another illustrative example, a mall, as an example of a target site, may have Bluetooth collectors deployed at some specific storefronts of the mall. A user wears a Bluetooth device (such as an intelligent shoe or an intelligent bracelet embedded with a Bluetooth chip) to shop in a shopping mall. The server can scan the reported equipment list according to each Bluetooth collector, and the real-time people flow of each specific storefront is counted. Furthermore, according to the real-time people flow of each specific storefront, a storefront with more real-time people flow can be actively recommended to the user, or a storefront with more real-time people flow can be recommended to the user after a path recommendation request sent by the user is received, so that the storefront with higher popularity can be recommended to the user; or, a storefront with less real-time traffic can be actively recommended to the user, or the storefront with less real-time traffic can be recommended to the user after a path recommendation request sent by the user is received, so that congestion or queuing is avoided.
The following are embodiments of the apparatus of the present invention that may be used to perform embodiments of the method of the present invention. For details which are not disclosed in the embodiments of the apparatus of the present invention, reference is made to the embodiments of the method of the present invention.
Referring to fig. 4, a block diagram of a people flow statistics device provided by an embodiment of the present invention is shown, which can be implemented by software, hardware or a combination of the two to be part or all of the server 120 in the implementation environment shown in fig. 1. The apparatus may include: a list receiving module 410, a duration obtaining module 420 and a people flow obtaining module 430.
The list receiving module 410 is configured to receive an equipment list reported by a target bluetooth collector in a target location at preset time intervals, where the equipment list includes an identifier of a bluetooth device scanned by the target bluetooth collector, N bluetooth collectors are deployed in the target location, the target bluetooth collector is one of the N bluetooth collectors, and N is a positive integer.
A duration obtaining module 420, configured to obtain an occurrence duration of each bluetooth device included in a target device list, where the target device list is a device list that is received from the target bluetooth collector last time, the occurrence duration of an ith bluetooth device included in the target device list is a duration that the ith bluetooth device appears in an area corresponding to the target bluetooth collector, and i is a positive integer.
And the people flow rate obtaining module 430 is configured to obtain the number of the bluetooth devices whose occurrence duration is longer than a preset duration, and use the number as the real-time people flow rate in the area corresponding to the target bluetooth collector.
In summary, in the apparatus provided in this embodiment, the occurrence duration of each bluetooth device included in the target device list is obtained, the number of bluetooth devices whose occurrence durations are greater than the preset duration is obtained, and the number is used as the real-time pedestrian volume in the area corresponding to the target bluetooth collector; the problem that the statistical result of the real-time pedestrian volume is inaccurate in the prior art is solved; through counting and analyzing the occurrence duration of the Bluetooth equipment in the area corresponding to the Bluetooth collector, the method and the device realize that the user only passes through the area corresponding to the Bluetooth collector or really stays in the area, determine the real-time pedestrian volume in the area according to the number of the users really staying in the area, and improve the accuracy of the counting result of the real-time pedestrian volume.
Referring to fig. 5, a block diagram of a people flow statistics device provided by another embodiment of the present invention is shown, which can be implemented by software, hardware or a combination of the two to be part or all of the server 120 in the implementation environment shown in fig. 1. The apparatus may include: a list receiving module 410, a duration obtaining module 420 and a people flow obtaining module 430.
The list receiving module 410 is configured to receive an equipment list reported by a target bluetooth collector in a target location at preset time intervals, where the equipment list includes an identifier of a bluetooth device scanned by the target bluetooth collector, N bluetooth collectors are deployed in the target location, the target bluetooth collector is one of the N bluetooth collectors, and N is a positive integer.
A duration obtaining module 420, configured to obtain an occurrence duration of each bluetooth device included in a target device list, where the target device list is a device list that is received from the target bluetooth collector last time, the occurrence duration of an ith bluetooth device included in the target device list is a duration that the ith bluetooth device appears in an area corresponding to the target bluetooth collector, and i is a positive integer.
And the people flow rate obtaining module 430 is configured to obtain the number of the bluetooth devices whose occurrence duration is longer than a preset duration, and use the number as the real-time people flow rate in the area corresponding to the target bluetooth collector.
Optionally, the duration obtaining module 420 includes: a first acquisition unit 420a, a second acquisition unit 420b, and a duration determination unit 420 c.
A first obtaining unit 420a, configured to obtain, for the ith bluetooth device, a latest occurrence time of the ith bluetooth device, where the latest occurrence time of the ith bluetooth device is a time at which the ith bluetooth device is detected to occur in an area corresponding to the target bluetooth collector last time.
A second obtaining unit 420b, configured to obtain an initial occurrence time of the ith bluetooth device, where the initial occurrence time of the ith bluetooth device refers to an initial time when the ith bluetooth device is continuously detected to appear in an area corresponding to the target bluetooth collector from the latest occurrence time.
A duration determining unit 420c, configured to determine a time interval from an initial occurrence time of the ith bluetooth device to a latest occurrence time of the ith bluetooth device as an occurrence duration of the ith bluetooth device.
Optionally, the second obtaining unit 420b is specifically configured to: and determining the relevant time of the initial equipment list corresponding to the ith Bluetooth equipment as the initial appearance time of the ith Bluetooth equipment. The initial device list corresponding to the ith bluetooth device refers to a device list which is sent by the target bluetooth collector and meets the following conditions: the device list sent one time before the initial device list corresponding to the ith Bluetooth device does not include the identifier of the ith Bluetooth device, and each device list from the initial device list corresponding to the ith Bluetooth device to the target device list includes the identifier of the Bluetooth device. The relevant time of the initial device list corresponding to the ith bluetooth device is as follows: the receiving time of the initial device list corresponding to the ith Bluetooth device, or the sending time of the initial device list corresponding to the ith Bluetooth device, or the time recorded in the initial device list corresponding to the ith Bluetooth device when the ith Bluetooth device is scanned.
Optionally, the apparatus further comprises: a first selection module 440, a device determination module 442, and an information transmission module 444.
The first selecting module 440 is configured to select, according to real-time pedestrian volume in the respective areas corresponding to the N bluetooth collectors, a first bluetooth collector whose real-time pedestrian volume meets a first preset condition and a second bluetooth collector whose real-time pedestrian volume meets a second preset condition.
An apparatus determining module 442, configured to determine a target bluetooth apparatus according to the apparatus list last reported by the first bluetooth collector, where the target bluetooth apparatus is a bluetooth apparatus located in an area corresponding to the first bluetooth collector.
An information sending module 444, configured to send path recommendation information to the user terminal bound to the target bluetooth device, where the path recommendation information includes geographic location information corresponding to the second bluetooth collector.
Optionally, the first preset condition is that the real-time pedestrian volume is greater than a first threshold, and the second preset condition is that the real-time pedestrian volume is less than a second threshold; wherein the first threshold is greater than or equal to the second threshold.
Optionally, the apparatus further comprises: a request receiving module 450, a collector selecting module 452 and a location recommending module 454.
The request receiving module 450 is configured to receive a path recommendation request sent by a target user terminal.
And the collector selecting module 452 is configured to select a bluetooth collector with the real-time pedestrian volume meeting a third preset condition according to the real-time pedestrian volume in the area corresponding to each of the N bluetooth collectors.
And the position recommending module 454 is configured to send recommended position information to the target user terminal according to the geographical position information corresponding to the selected bluetooth collector.
Optionally, the apparatus further comprises: a position acquisition module 456.
A location obtaining module 456, configured to obtain geographic location information of the target user terminal.
The location recommendation module 454 includes: a selection unit and a recommendation unit (not shown in the figure).
And the selecting unit is used for selecting a recommended Bluetooth collector from the selected Bluetooth collectors according to the geographical position information of the target user terminal and the geographical position information corresponding to the selected Bluetooth collector, wherein the recommended Bluetooth collector is a Bluetooth collector of which the distance from the target user terminal meets a fourth preset condition.
And the recommending unit is used for sending the recommended position information to the target user terminal, and the recommended position information comprises the geographical position information corresponding to the recommended Bluetooth collector.
Optionally, the apparatus further comprises: a trajectory statistics module 460 and a device acquisition module 462.
And the track counting module 460 is configured to count a moving track corresponding to each bluetooth device.
And an apparatus obtaining module 462, configured to obtain the bluetooth apparatus whose moving trajectory meets a fifth preset condition.
In summary, in the apparatus provided in this embodiment, the occurrence duration of each bluetooth device included in the target device list is obtained, the number of bluetooth devices whose occurrence durations are greater than the preset duration is obtained, and the number is used as the real-time pedestrian volume in the area corresponding to the target bluetooth collector; the problem that the statistical result of the real-time pedestrian volume is inaccurate in the prior art is solved; through counting and analyzing the occurrence duration of the Bluetooth equipment in the area corresponding to the Bluetooth collector, the method and the device realize that the user only passes through the area corresponding to the Bluetooth collector or really stays in the area, determine the real-time pedestrian volume in the area according to the number of the users really staying in the area, and improve the accuracy of the counting result of the real-time pedestrian volume.
In addition, the device provided by the embodiment also realizes path recommendation to the user actively or passively based on the real-time pedestrian volume of each area in the target place, so that the tour demand and experience of the user in the target place can be better met on the one hand, and the purpose of drainage can be achieved on the other hand.
It should be noted that: in the above embodiment, when the device implements the functions thereof, only the division of the functional modules is illustrated, and in practical applications, the functions may be distributed by different functional modules according to needs, that is, the internal structure of the device may be divided into different functional modules to implement all or part of the functions described above. In addition, the apparatus and method embodiments provided by the above embodiments belong to the same concept, and specific implementation processes thereof are described in the method embodiments for details, which are not described herein again.
Fig. 6 is a schematic structural diagram of a server according to an embodiment of the present invention. The server may be implemented as the server 120 in the implementation environment shown in FIG. 1. The server is used for implementing the people flow statistical method provided in the embodiment. Specifically, the method comprises the following steps:
the server 600 includes a Central Processing Unit (CPU)601, a system memory 604 including a Random Access Memory (RAM)602 and a Read Only Memory (ROM)603, and a system bus 605 connecting the system memory 604 and the central processing unit 601. The server 600 also includes a basic input/output system (I/O system) 606, which facilitates the transfer of information between devices within the computer, and a mass storage device 607, which stores an operating system 613, application programs 614, and other program modules 615.
The basic input/output system 606 includes a display 608 for displaying information and an input device 609 such as a mouse, keyboard, etc. for a user to input information. Wherein the display 608 and the input device 609 are connected to the central processing unit 601 through an input output controller 610 connected to the system bus 605. The basic input/output system 606 may also include an input/output controller 610 for receiving and processing input from a number of other devices, such as a keyboard, mouse, or electronic stylus. Similarly, input/output controller 610 may also provide output to a display screen, a printer, or other type of output device.
The mass storage device 607 is connected to the central processing unit 601 through a mass storage controller (not shown) connected to the system bus 605. The mass storage device 607 and its associated computer-readable media provide non-volatile storage for the server 600. That is, the mass storage device 607 may include a computer-readable medium (not shown) such as a hard disk or CD-ROM drive.
Without loss of generality, the computer-readable media may comprise computer storage media and communication media. Computer storage media includes volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storage of information such as computer readable instructions, data structures, program modules or other data. Computer storage media includes RAM, ROM, EPROM, EEPROM, flash memory or other solid state memory technology, CD-ROM, DVD, or other optical storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices. Of course, those skilled in the art will appreciate that the computer storage media is not limited to the foregoing. The system memory 604 and mass storage device 607 described above may be collectively referred to as memory.
The server 600 may also operate as a remote computer connected to a network via a network, such as the internet, in accordance with various embodiments of the present invention. That is, the server 600 may be connected to the network 612 through the network interface unit 611 connected to the system bus 605, or may be connected to other types of networks or remote computer systems (not shown) using the network interface unit 611.
The memory also includes one or more programs stored in the memory and configured to be executed by one or more processors. The one or more programs include instructions for performing the people flow statistical method.
It is to be understood that reference herein to "a number" means one or more and "a plurality" means two or more. "and/or" describes the association relationship of the associated objects, meaning that there may be three relationships, e.g., a and/or B, which may mean: a exists alone, A and B exist simultaneously, and B exists alone. The character "/" generally indicates that the former and latter associated objects are in an "or" relationship.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
It will be understood by those skilled in the art that all or part of the steps for implementing the above embodiments may be implemented by hardware, or may be implemented by a program instructing relevant hardware, where 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.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that fall within the spirit and principle of the present invention are intended to be included therein.
Claims (11)
1. A people flow statistical method, characterized in that the method comprises:
receiving an equipment list reported by a target Bluetooth collector in a target site at intervals of preset time, wherein the equipment list comprises identifications of Bluetooth equipment scanned by the target Bluetooth collector, N Bluetooth collectors are deployed in the target site, the target Bluetooth collector is one of the N Bluetooth collectors, and N is a positive integer;
acquiring the occurrence duration of each Bluetooth device included in a target device list, wherein the target device list is a device list received from the target Bluetooth collector last time, the occurrence duration of an ith Bluetooth device included in the target device list is the occurrence duration of the ith Bluetooth device in an area corresponding to the target Bluetooth collector, and i is a positive integer;
acquiring the number of the Bluetooth devices with the occurrence duration longer than the preset duration, and taking the number as the real-time pedestrian volume in the area corresponding to the target Bluetooth collector, wherein the real-time pedestrian volume in the area refers to the number of people staying in the area at the current moment;
selecting a first Bluetooth collector with the real-time pedestrian flow rate meeting a first preset condition and a second Bluetooth collector with the real-time pedestrian flow rate meeting a second preset condition according to the real-time pedestrian flow rates in the areas corresponding to the N Bluetooth collectors; the first preset condition is that the real-time pedestrian volume is larger than a first threshold, the second preset condition is that the real-time pedestrian volume is smaller than a second threshold, and the first threshold is larger than or equal to the second threshold;
determining a target Bluetooth device according to a device list reported last time by the first Bluetooth collector, wherein the target Bluetooth device is a Bluetooth device located in an area corresponding to the first Bluetooth collector;
and sending path recommendation information to the user terminal bound with the target Bluetooth device, wherein the path recommendation information comprises the geographical position information corresponding to the second Bluetooth collector.
2. The method of claim 1, wherein obtaining the duration of presence of each bluetooth device included in the target device list comprises:
for the ith Bluetooth device, obtaining the latest appearance time of the ith Bluetooth device, wherein the latest appearance time of the ith Bluetooth device refers to the time when the ith Bluetooth device is detected to appear in the area corresponding to the target Bluetooth collector for the latest time;
acquiring the initial appearance time of the ith Bluetooth device, wherein the initial appearance time of the ith Bluetooth device refers to the initial time of continuously detecting the appearance of the ith Bluetooth device in the area corresponding to the target Bluetooth collector from the latest appearance time;
and determining the time interval from the initial appearance time of the ith Bluetooth device to the latest appearance time of the ith Bluetooth device as the appearance duration of the ith Bluetooth device.
3. The method of claim 1, further comprising:
receiving a path recommendation request sent by a target user terminal;
selecting the Bluetooth collectors with the real-time pedestrian volume meeting a third preset condition according to the real-time pedestrian volumes in the areas corresponding to the N Bluetooth collectors;
and sending recommended position information to the target user terminal according to the selected geographical position information corresponding to the Bluetooth collector.
4. The method of claim 3, further comprising:
acquiring the geographical position information of the target user terminal;
the sending recommended position information to the target user terminal according to the selected geographic position information corresponding to the Bluetooth collector comprises the following steps:
selecting a recommended Bluetooth collector from the selected Bluetooth collectors according to the geographical position information of the target user terminal and the geographical position information corresponding to the selected Bluetooth collector, wherein the recommended Bluetooth collector is a Bluetooth collector of which the distance to the target user terminal meets a fourth preset condition;
and sending the recommended position information to the target user terminal, wherein the recommended position information comprises the geographical position information corresponding to the recommended Bluetooth collector.
5. The method according to any one of claims 1 to 4, further comprising:
counting a moving track corresponding to each Bluetooth device;
and acquiring the Bluetooth equipment of which the moving track meets a fifth preset condition.
6. A people flow statistics device, characterized in that the device comprises:
the device comprises a list receiving module, a list processing module and a list processing module, wherein the list receiving module is used for receiving a device list reported by a target Bluetooth collector in a target site at intervals of preset time, the device list comprises the identification of Bluetooth devices scanned by the target Bluetooth collector, N Bluetooth collectors are deployed in the target site, the target Bluetooth collector is one of the N Bluetooth collectors, and N is a positive integer;
a duration obtaining module, configured to obtain an appearance duration of each bluetooth device included in a target device list, where the target device list is a device list that is received from the target bluetooth collector last time, the appearance duration of an ith bluetooth device included in the target device list is a duration that the ith bluetooth device appears in an area corresponding to the target bluetooth collector, and i is a positive integer;
the people flow rate obtaining module is used for obtaining the number of the Bluetooth devices with the occurrence duration longer than the preset duration, and taking the number as the real-time people flow rate in the area corresponding to the target Bluetooth collector, wherein the real-time people flow rate in the area refers to the number of people staying in the area at the current moment;
the first selection module is used for selecting a first Bluetooth collector with the real-time pedestrian flow meeting a first preset condition and a second Bluetooth collector with the real-time pedestrian flow meeting a second preset condition according to the real-time pedestrian flow in the areas corresponding to the N Bluetooth collectors; the first preset condition is that the real-time pedestrian volume is larger than a first threshold value, and the second preset condition is that the real-time pedestrian volume is smaller than a second threshold value; wherein the first threshold is greater than or equal to the second threshold;
the device determining module is used for determining a target Bluetooth device according to a device list reported last time by the first Bluetooth collector, wherein the target Bluetooth device is a Bluetooth device located in an area corresponding to the first Bluetooth collector;
and the information sending module is used for sending path recommendation information to the user terminal bound with the target Bluetooth device, wherein the path recommendation information comprises the geographical position information corresponding to the second Bluetooth collector.
7. The apparatus of claim 6, wherein the duration obtaining module comprises:
a first obtaining unit, configured to obtain, for the ith bluetooth device, a latest occurrence time of the ith bluetooth device, where the latest occurrence time of the ith bluetooth device refers to a time at which the occurrence of the ith bluetooth device in an area corresponding to the target bluetooth collector is detected last time;
a second obtaining unit, configured to obtain an initial occurrence time of the ith bluetooth device, where the initial occurrence time of the ith bluetooth device refers to an initial time at which the ith bluetooth device is continuously detected to appear in an area corresponding to the target bluetooth collector from the latest occurrence time;
a duration determining unit, configured to determine a time interval from an initial occurrence time of the ith bluetooth device to a latest occurrence time of the ith bluetooth device as an occurrence duration of the ith bluetooth device.
8. The apparatus of claim 6, further comprising:
the request receiving module is used for receiving a path recommendation request sent by a target user terminal;
the collector selection module is used for selecting the Bluetooth collectors of which the real-time pedestrian volume meets a third preset condition according to the real-time pedestrian volumes in the areas corresponding to the N Bluetooth collectors;
and the position recommending module is used for sending recommended position information to the target user terminal according to the selected geographic position information corresponding to the Bluetooth collector.
9. The apparatus of claim 8, further comprising:
the position acquisition module is used for acquiring the geographical position information of the target user terminal;
the location recommendation module comprises:
the selecting unit is used for selecting a recommended Bluetooth collector from the selected Bluetooth collectors according to the geographical position information of the target user terminal and the geographical position information corresponding to the selected Bluetooth collector, wherein the recommended Bluetooth collector is a Bluetooth collector of which the distance from the target user terminal meets a fourth preset condition;
and the recommending unit is used for sending the recommended position information to the target user terminal, and the recommended position information comprises the geographical position information corresponding to the recommended Bluetooth collector.
10. The apparatus of any one of claims 6 to 9, further comprising:
the track counting module is used for counting the moving track corresponding to each Bluetooth device;
and the equipment acquisition module is used for acquiring the Bluetooth equipment of which the moving track meets a fifth preset condition.
11. A computer-readable storage medium, characterized in that a computer program is stored in the computer-readable storage medium, the computer program being for implementing the people flow statistical method according to any one of claims 1 to 5.
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| US10327107B2 (en) * | 2017-06-05 | 2019-06-18 | Hewlett Packard Enterprise Development Lp | Determining that a client device presents in a site using frequent client mobility patterns |
| CN108882176A (en) * | 2018-08-31 | 2018-11-23 | 上海与德科技有限公司 | The acquisition methods and report method of position |
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