CN106341465A - Statistical method, device and system of passenger flow and population flow distribution - Google Patents
Statistical method, device and system of passenger flow and population flow distribution Download PDFInfo
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- 238000009826 distribution Methods 0.000 title claims abstract description 60
- 238000007619 statistical method Methods 0.000 title claims abstract description 16
- 238000000034 method Methods 0.000 claims abstract description 22
- 206010000210 abortion Diseases 0.000 claims description 61
- 231100000176 abortion Toxicity 0.000 claims description 61
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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- G06Q50/10—Services
- G06Q50/14—Travel agencies
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/10—Protocols in which an application is distributed across nodes in the network
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/50—Network services
- H04L67/535—Tracking the activity of the user
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Abstract
The invention provides a statistical method, device and system of passenger flow and population flow distribution. A wireless access point arranged in a statistical area is used to scan information of a user terminal, the scanned terminal information and unique identification information of the wireless access point are uploaded to a cloud server, and the cloud server analyzes the passenger flow and population flow distribution condition within the statistical area according to the received information. According to the method, it is not required to mount specific collectors in the statistical area, the cloud server or a wireless controller issues configurations of the wireless access points in a unified manner, and the labor cost and the maintenance cost are reduced greatly. In addition, the statistical area is graded, the grades are counted independently instead of being added simply, and an output statistical result is more reasonable. During counting, a specific algorithm is used to filter the terminal information, interference information is eliminated, user behaviors are defined in multiple dimensions, and the statistical result is more accurate and has a higher practical reference value.
Description
Technical field
The present invention relates to big data analysis technical field, in particular to a kind of passenger flow and artificial abortion's distribution statistical method,
Apparatus and system.
Background technology
At present, the artificial abortion of statistical regions or the method for passenger flow information are obtained typically by manpower statistics or in this region
Fixed position video or bluetooth harvester collection information are installed, then the information transfer collecting to home server is carried out
Process.The limited coverage area of above two statistical method, there is biased and not directly perceived, human cost and maintenance in statistical result
High cost.
Content of the invention
In view of this, it is an object of the invention to provide a kind of passenger flow and artificial abortion's distribution statistical method, apparatus and system, with
Improve the problems referred to above.
Present pre-ferred embodiments provide a kind of passenger flow and artificial abortion's distribution statistical method, be applied to from positioned at different Statistical Areas
The service end of multiple WAP communication connections in domain, the method includes:
Receive WAP send by the end message acquired in real time scan user terminal and and unique mark
The identification information of this WAP binding;
According to the described end message receiving and identification information, analyze the passenger flow information in each statistical regions and artificial abortion
Information, draws corresponding Trip distribution statistical result and artificial abortion's distribution statisticses result, and wherein said passenger flow information is included described
The user behavior information corresponding to the user terminal of passenger flow at least one times is produced, described people information is included in institute in statistical regions
State the user behavior information corresponding to the user terminal of artificial abortion at least one times that produces in statistical regions.
Another preferred embodiment of the present invention provides a kind of passenger flow and artificial abortion's distribution statisticses device, be applied to from positioned at different systems
The service end of multiple WAP communication connections in meter region, this device includes:
Information receiving module, for receive WAP transmission by the terminal acquired in real time scan user terminal
Information and the identification information of this WAP of unique mark;
Passenger flow and artificial abortion's distribution statisticses module, for according to the described end message receiving and identification information, analysis is every
Passenger flow information in individual statistical regions and people information, draw corresponding Trip distribution statistical result and artificial abortion's distribution statisticses knot
Really, wherein said passenger flow information includes producing the user corresponding to the user terminal of passenger flow at least one times in described statistical regions
Behavioural information, described people information includes producing the use corresponding to the user terminal of artificial abortion at least one times in described statistical regions
Family behavioural information.
Another preferred embodiment of the present invention also provides a kind of passenger flow and artificial abortion's distribution statistical system, including Cloud Server, no
Lane controller and multiple WAP, the plurality of WAP is arranged in different statistical regions, wherein: described cloud
Server is used for receiving the terminal letter being passed through acquired in real time scan user terminal of wireless controller transmission by WAP
Breath and the identification information of this WAP of unique mark, and according to the end message receiving and identification information, analyze each
Passenger flow information in statistical regions and people information, draw corresponding Trip distribution statistical result and artificial abortion's distribution statisticses result,
Wherein said passenger flow information includes producing the user's row corresponding to the user terminal of passenger flow at least one times in described statistical regions
For information, described people information includes producing the user corresponding to the user terminal of artificial abortion at least one times in described statistical regions
Behavioural information.
Passenger flow and artificial abortion's distribution statistical method, apparatus and system that the present invention provides, by being arranged in statistical regions
The information of wireless access spot scan user terminal, and the unique identification information one by the end message scanning and WAP
Rise and be uploaded to Cloud Server, by Cloud Server according to the passenger flow in this statistical regions of the information analysiss receiving and people's flow distribution feelings
Condition.This kind of statistical method need not install specific harvester in statistical regions, by under Cloud Server or wireless controller unification
Send out the configuration of each WAP, and carry out respective tube reason, greatly reduce human cost and maintenance cost, and wirelessly connect
The position of access point and coverage can adjust, and are prevented effectively from missing data or the generation of part dirty data.In addition, it is right in the method
Statistical regions are classified, the equal independent statistics of each level rather than simply addition, and the statistical result of output is more reasonable.System
Timing, is filtered to user terminal, exclusive PCR information and invalid information, and statistical result is more accurate.Especially, the party
Also passenger flow and artificial abortion are carried out in method distinguishing statistics, and to user behavior such as the old and new's passenger flow, the visiting frequency and the time of staying
Etc. being analyzed, statistical result is made more to have actual reference.
Brief description
In order to be illustrated more clearly that the technical scheme of the embodiment of the present invention, below will be attached to use required in embodiment
Figure is briefly described it will be appreciated that the following drawings illustrate only certain embodiments of the present invention, and it is right to be therefore not construed as
The restriction of scope, for those of ordinary skill in the art, on the premise of not paying creative work, can also be according to this
A little accompanying drawings obtain other related accompanying drawings.
A kind of passenger flow that Fig. 1 provides for present pre-ferred embodiments and the application scenarios of artificial abortion's distribution statistical system are illustrated
Figure;
The block diagram of the Cloud Server shown in Fig. 1 that Fig. 2 provides for present pre-ferred embodiments;
A kind of passenger flow of the Cloud Server being applied to shown in Fig. 2 that Fig. 3 provides for present pre-ferred embodiments and people's flow point
The flow chart of cloth statistical method;
The passenger flow shown in Fig. 2 and the functional module of artificial abortion's distribution statisticses device that Fig. 4 provides for present pre-ferred embodiments
Block diagram.
Reference:
Cloud Server | 100 |
Wireless controller | 200 |
WAP | 300 |
User terminal | 400 |
Memorizer | 110 |
Storage control | 120 |
Processor | 130 |
Passenger flow and artificial abortion's distribution statisticses device | 140 |
Information receiving module | 1401 |
Passenger flow and artificial abortion's distribution statisticses module | 1403 |
Specific embodiment
Purpose, technical scheme and advantage for making the embodiment of the present invention are clearer, below in conjunction with the embodiment of the present invention
In accompanying drawing, the technical scheme in the embodiment of the present invention is clearly and completely described it is clear that described embodiment is
The a part of embodiment of the present invention, rather than whole embodiments.The present invention generally described and illustrated in accompanying drawing herein is implemented
The assembly of example can be arranged with various different configurations and design.
It should also be noted that similar label and letter expression similar terms in following accompanying drawing, therefore, once a certain Xiang Yi
It is defined in individual accompanying drawing, then do not need it to be defined further and explains in subsequent accompanying drawing.
Therefore, below the detailed description of the embodiments of the invention providing in the accompanying drawings is not intended to limit claimed
The scope of the present invention, but be merely representative of the selected embodiment of the present invention.Based on the embodiment in the present invention, this area is common
The every other embodiment that technical staff is obtained under the premise of not making creative work, broadly falls into the model of present invention protection
Enclose.
As shown in figure 1, being a kind of passenger flow of present pre-ferred embodiments offer and the applied field of artificial abortion's distribution statistical system
Scape schematic diagram.This system includes Cloud Server 100, wireless controller (access controller, ac) 200 and wireless access
Point (access point, ap) 300.Wherein, described WAP 300 and wireless controller 200 are with wired or wireless side
Formula communicates to connect, to be carried out data transmission with described Cloud Server 100 by described wireless controller 200 or to interact.
Described WAP 300 is arranged in different statistical regions, such as school, scenic spot, market etc., obtains for scanning
The information of the user terminal 400 in statistical regions, and the information getting is uploaded to cloud clothes by described wireless controller 200
Business device 100.Cloud Server 100, according to the information receiving, counts the Trip distribution in this statistical regions according to specific algorithm
And people's flow distribution.Certainly, in other embodiment, described wireless controller 200 can also omit, by described WAP
300 directly carry out data interaction with Cloud Server 100.
In the present embodiment, described Cloud Server 100 can be private clound or public cloud.This Cloud Server 100 can
To be, but it is not limited to, (file transfer protocol, file passes for web (network) server, database server, ftp
Defeated agreement) server etc..In other embodiment, described Cloud Server 100 can also be replaced by home server.Described wireless
Access point 300 can be fit ap (fit access point, thin WAP) or fat ap (fat
Access point, fat WAP).Described user terminal 400 may be, but not limited to, panel computer, smart mobile phone,
Personal digital assistant (personal digital assistant, pda), mobile internet surfing equipment (mobile internet
Device, mid) etc..It should be noted that in the present embodiment, in order to reduce the complexity of service end big data statistics, described user
Terminal 400 is preferably smart mobile phone, the terminal device information being non-smart mobile phone when the information that WAP 300 scans
When, described Cloud Server 100 is directly filtered out this information, with exclusive PCR.
As shown in Fig. 2 being the block diagram of the Cloud Server 100 shown in Fig. 1 that present pre-ferred embodiments provide.Institute
State Cloud Server 100 and include memorizer 110, storage control 120, processor 130 and passenger flow and artificial abortion's distribution statisticses device
140.
Described memorizer 110, storage control 120, each element of processor 130 directly or indirectly electrically connect each other
Connect, to realize transmission or the interaction of data.For example, pass through one or more communication bus between these elements or holding wire is realized
It is electrically connected with.Described passenger flow and artificial abortion's distribution statisticses device 140 include at least one can be with software or firmware (firmware)
Form is stored in described memorizer 110 or is solidificated in the software function module in the operating system of described Cloud Server 100.Institute
State processor 130 and access described memorizer 110 under the control of described storage control 120, for executing described memorizer
In 110 storage executable module, such as the software function module included by described passenger flow and artificial abortion's distribution statisticses device 140 and
Computer program etc..
Wherein, described memorizer 110 may be, but not limited to, random access memory, read only memory, programmable
Read memorizer, erasable read-only memory or electricallyerasable ROM (EEROM) etc..
Described processor 130 is probably a kind of IC chip, has the disposal ability of signal.This processor 130 can
To be general processor, including central processing unit, network processing unit etc.;Can also be digital signal processor, special integrated electricity
Road, ready-made programmable gate array or other PLDs, discrete gate or transistor logic, discrete hardware group
Part.Can realize or execute disclosed each method in the embodiment of the present invention, step and logic diagram.
As shown in figure 3, be present pre-ferred embodiments provide the passenger flow of Cloud Server 100 being applied to shown in Fig. 2 and
The flow chart of artificial abortion's distribution statistical method.It should be noted that, this method is not limited with Fig. 3 and particular order shown below
System.The method and step of the relevant stream process definition of methods described can be realized by described processor 130.Below will be to shown in Fig. 3
Idiographic flow be described in detail.
Step s101, receives believing by the terminal acquired in real time scan user terminal 400 of WAP 300 transmission
Breath and the identification information of this WAP 300 of unique mark.
In the present embodiment, the multiple WAPs 300 being arranged in statistical regions can real time scan user terminal 400
The detection frame (probe frame) going out, obtains and stabs and this for the exclusive identification code identifying described user terminal 400, sweep time
The end messages such as the signal intensity of user terminal 400.Described exclusive identification code may be, but not limited to, described user terminal 400
Mac address, imei (international mobile equipment identification number), imsi (international mobile subscriber identity), ad identifier etc..Described
Signal intensity includes the field intensity of signal, background noise etc..The identification information of this WAP 300 of described unique mark is permissible
It is, but be not limited to, the mac address of this WAP 300, manufacturer's serial number etc..Described Cloud Server is according to the nothing receiving
The identification information of line access point 300, parses the set location of this WAP 300, that is, bound in this WAP 300
Area information.
In the present embodiment, described statistical regions can be divided into level-1 area, level-2 area and tertiary zone, wherein, each institute
State level-1 area and include level-2 area at least described in, each described level-2 area includes tertiary zone at least described in.Described
WAP 300 is arranged in described tertiary zone, the position of the tertiary zone that its bound area information is as located at
Information.In other embodiment, described level-1 area, level-2 area and tertiary zone can also be identical region.For example, if
A fixed retail shop is level-1 area, then its included level-2 area and tertiary zone can be similarly retail shop between this.In addition, this
In embodiment, the passenger flow for premium area and the statistics of people's flow distribution are independently to carry out, rather than are rudimentary range statistics knots
The simple addition of fruit.
Taking market as a example, described level-1 area is regarded as in whole market, then each of market floor is two described in one
Level region, the shop in each floor is then tertiary zone described in.It is provided with least one WAP in each shop
300.The end message being obtained in real time according to multiple WAPs 300 of setting in whole market, can independently analyze
The passenger flow in whole market, each floor and each shop or people's flow distribution.
Step s103, according to the described end message receiving and identification information, analyzes the passenger flow in each statistical regions
Information and people information, draw corresponding Trip distribution statistical result and artificial abortion's distribution statisticses result, wherein said passenger flow information
Including the user behavior information corresponding to the user terminal 400 of generation passenger flow in described statistical regions, described people information bag
Include the user behavior information corresponding to user terminal 400 producing artificial abortion in described statistical regions.
Wherein, a described passenger flow refers to that a time of staying in statistical regions exceedes the user of preset time threshold
The corresponding user behavior information of terminal.A described artificial abortion refers to time of staying in statistical regions not less than institute
State the corresponding user behavior information of user terminal of preset time threshold.
Especially, it should be noted that for a passenger flow, the user terminal 400 producing this passenger flow must be
Arrived by WAP 300 continuous acquisition in this section of time of staying.For example, it is assumed that the acquisition interval of WAP 300 is 5 points
Clock, described preset time threshold is 20 minutes, and user terminal is after 9:00 is collected once, and is collected one in 9:30
It is secondary that although the time being collected twice was more than time threshold after 30 minutes, but this user terminal does not produce a passenger flow,
Only when this user terminal is respectively at 9:00,9:05,9:10 ... ..., when 9:30 is collected, just judge that this user terminal produces
Give birth to a passenger flow.Similarly, for for an artificial abortion it is assumed that user terminal 400 is only in 9:00, when 9:04,9:30 this 3
Between point collected, then judge that this user terminal 400 only produces an artificial abortion (9:00-9:04).
Described user behavior information includes a passenger flow of user terminal generation, artificial abortion, new passenger flow, an old passenger flow, arrives
Visit the information such as the frequency, the time of staying.
Concrete statistics in the present embodiment, so that described exclusive identification code is for mac address as a example, to described Cloud Server 100
Mode is illustrated.
Described Cloud Server 100 memory storage unique identifier list (organization unique in a organized way
Identification, oui), the list of common cell phone manufacturer and abnormal terminals list, and this three kinds of lists are timed more
Newly.Described Cloud Server 100, after receiving the end message that described WAP 300 uploads, detects that this terminal is believed first
Whether the mac address comprising in breath is legal.Described legal refer to that this mac address meets following three conditions successively, and wherein appoint
One is unsatisfactory for, then for illegal.Described three conditions are that the organization unique identifier included in mac address should be located at described
In organization unique identifier list, the production firm of the corresponding user terminal 400 in described mac address should be located at described common mobile phone
In manufacturer's list, and the mac address of this user terminal 400 is not located in described abnormal terminals list.
The whether legal purpose in detection mac address is to exclude the terminal device information of non-smart mobile phone, to improve statistics
The accuracy of result.Such as, when being scanned, the mac address that it scans may be printer, biography to WAP 300
The non-smart mobile phone terminal unit such as prototype, these interference informations need to carry out filtering exclusion, to reduce the complexity of statistics.Separately
Outward, described abnormal terminals list is blacklist list, and described Cloud Server 100 is provided with blacklist mechanism, for abnormal use
Family behavior carries out Memorability study analysis.For example, Cloud Server 100 can judge in twenty four hours, and each hour appears at
Terminal mac in probe messages is " inhuman " equipment, does not include passenger flow and artificial abortion's Statistics category.
After the mac address that described Cloud Server 100 judges in end message is legal, further according to this user getting eventually
The signal intensity at end 400 judges whether this user terminal 400 is located at described statistical regions.Because same user terminal 400 is sometimes
Can be scanned by the WAP 300 in different statistical regions, such as when a certain user terminal 400 is located at a retail shop
When, this retail shop of family closes on retail shop and also can scan this user terminal 400, and simply signal intensity is weaker.Thus, Cloud Server
100 can be determined that the physical location of user terminal 400 according to signal intensity, to lift the accuracy of statistical result.
After described Cloud Server 100 judges that described user terminal 400 is located at this statistical regions, further according to described user eventually
Hold 400 corresponding this user terminal 400 of stamp calculating sweep time in a time of staying of described statistical regions, and by this once
The time of staying is compared with the time threshold setting, if being more than described time threshold, judges described user terminal 400 at this
Statistical regions produce a passenger flow, otherwise, it is determined that described user terminal 400 produces an artificial abortion in this statistical regions.
In addition, in the present embodiment, in addition to analyzing in this statistical regions passenger flow and an artificial abortion, also to the old and new visitor
Stream, the visiting frequency, the time of staying, mean residence time, the starts and enter the user behavior information such as rate of leaving the theatre and carry out of marching into the arena
Statistics, to enrich statistical dimension, the reference value of lifting statistical result.Described new passenger flow refers to, when described user terminal 400
It is judged as when this statistical regions produces a passenger flow first, then this passenger flow is the once newly objective of described statistical regions
Stream.Described old passenger flow refers to, in Preset Time after described user terminal 400 is in once new passenger flow described in producing, and at this
Statistical regions produce passenger flow at least one times, then the passenger flow each time in described passenger flow at least one times is this statistical regions once
Old passenger flow.The described visiting frequency refers to, produces the total of passenger flow in same statistical regions in same user terminal 400 predetermined amount of time
Number of times.The described time of staying refers to, described user terminal 400 produces the time of staying or the predetermined amount of time of a passenger flow every time
The time of staying sum of all passenger flows is produced in (as one week).Described mean residence time refers to that same user terminal 400 exists
The mean residence time of all passenger flows producing in one time period.
The user behavior information that described Cloud Server 100 obtains according to above-mentioned analysis, can count this statistical regions and exist
Passenger flow information in certain period of time and people information, obtain Trip distribution statistical result and people's flow distribution system of this statistical regions
Meter result.
As shown in figure 4, being the described passenger flow of present pre-ferred embodiments offer and the function of artificial abortion's distribution statisticses device 140
Module frame chart.This passenger flow and artificial abortion's distribution statisticses device 140 include information receiving module 1401 and passenger flow and artificial abortion's distribution statisticses
Module 1403.Concrete module shown in Fig. 4 will be described in detail below.
Described information receiver module 1401, for receive WAP 300 transmission by real time scan user terminal
End message acquired in 400 and the identification information of this WAP 300 of unique mark.This information receiving module 1401 can use
In step s101 shown in execution Fig. 3, specific operational approach can refer to the above-mentioned detailed description to step s101.
Described passenger flow and artificial abortion's distribution statisticses module 1403, for according to the described end message receiving and mark letter
Breath, analyzes the passenger flow information in each statistical regions and people information, draws corresponding Trip distribution statistical result and people's flow point
Cloth statistical result.This passenger flow and artificial abortion's distribution statisticses module 1403 can be used for executing step s103 shown in Fig. 3, specific operation
Method can refer to the above-mentioned detailed description to step s103.
It should be understood that disclosed apparatus and method are it is also possible to pass through in several embodiments provided herein
Other modes are realized.Device embodiment described above is only schematically, for example, the flow chart in accompanying drawing and block diagram
Show the device of multiple embodiments according to the present invention, the architectural framework in the cards of method and computer program product,
Function and operation.At this point, each square frame in flow chart or block diagram can represent the one of a module, program segment or code
Part, a part for described module, program segment or code comprises holding of one or more logic function for realizing regulation
Row instruction.It should also be noted that at some as in the implementation replaced, the function of being marked in square frame can also be to be different from
The order being marked in accompanying drawing occurs.For example, two continuous square frames can essentially execute substantially in parallel, and they are sometimes
Can execute in the opposite order, this is depending on involved function.It is also noted that it is every in block diagram and/or flow chart
The combination of the square frame in individual square frame and block diagram and/or flow chart, can be with the special base of the function of execution regulation or action
System in hardware to be realized, or can be realized with combining of computer instruction with specialized hardware.
In addition, each functional module in each embodiment of the present invention can integrate one independent portion of formation
Divide or modules individualism is it is also possible to two or more modules are integrated to form an independent part.
If described function realized using in the form of software function module and as independent production marketing or use when, permissible
It is stored in a computer read/write memory medium.Based on such understanding, technical scheme is substantially in other words
Partly being embodied in the form of software product of part that prior art is contributed or this technical scheme, this meter
Calculation machine software product is stored in a storage medium, including some instructions with so that a computer equipment (can be individual
People's computer, server, or network equipment etc.) execution each embodiment methods described of the present invention all or part of step.
And aforesaid storage medium includes: u disk, portable hard drive, read only memory (rom, read-only memory), random access memory are deposited
Reservoir (ram, random access memory), magnetic disc or CD etc. are various can be with the medium of store program codes.Need
Illustrate, the terms " inclusion ", "comprising" or its any other variant are intended to comprising of nonexcludability, thus
So that including a series of process of key elements, method, article or equipment not only include those key elements, but also include not clearly
Other key elements listed, or also include for this process, method, article or the intrinsic key element of equipment.Not more
Limit in the case of, the key element that limited by sentence "including a ..." is it is not excluded that in process, the side including described key element
Also there is other identical element in method, article or equipment.
The above, the only specific embodiment of the present invention, but protection scope of the present invention is not limited thereto, and any
Those familiar with the art the invention discloses technical scope in, change or replacement can be readily occurred in, all should contain
Cover within protection scope of the present invention.Therefore, protection scope of the present invention should be defined by described scope of the claims.
Claims (10)
1. a kind of passenger flow and artificial abortion's distribution statistical method, is applied to and the multiple WAP communications positioned at different statistical regions
The service end connecting is it is characterised in that the method includes:
Receive that WAP sends by the end message acquired in real time scan user terminal and unique mark, this is wireless
The identification information of access point binding;
According to the described end message receiving and identification information, analyze the passenger flow information in each statistical regions and artificial abortion's letter
Breath, draws corresponding Trip distribution statistical result and artificial abortion's distribution statisticses result, wherein said passenger flow information is included in described system
Meter produces the user behavior information corresponding to the user terminal of passenger flow at least one times in region, and described people information is included described
The user behavior information corresponding to the user terminal of artificial abortion at least one times is produced in statistical regions.
2. passenger flow according to claim 1 and artificial abortion's distribution statistical method are it is characterised in that described statistical regions are divided into one
Level region, level-2 area and tertiary zone, wherein, each described level-1 area includes level-2 area at least described in, each institute
State level-2 area and include tertiary zone at least described in, described WAP is arranged in described tertiary zone, each statistics
It is right respectively that passenger flow information in region and people information include level-1 area in this statistical regions, level-2 area and tertiary zone
The passenger flow information answered and people information.
3. passenger flow according to claim 1 and artificial abortion's distribution statistical method are it is characterised in that described end message includes using
In the signal intensity of the exclusive identification code, stamp sweep time and this user terminal identifying described user terminal, described analysis is every
The step of the passenger flow information of individual statistical regions and people information includes:
Detect whether the exclusive identification code of the described user terminal getting is legal;
If legal, judge whether this user terminal is located at described Statistical Area according to the signal intensity of this user terminal getting
Domain;
If being located at described statistical regions, this user terminal is calculated described according to described user terminal stamp corresponding sweep time
Time of staying of statistical regions, and this time of staying is compared with the time threshold setting, if more than described
Time threshold, then judge that described user terminal produces a passenger flow in this statistical regions, otherwise, it is determined that described user terminal is at this
Statistical regions produce an artificial abortion.
4. passenger flow according to claim 3 and artificial abortion's distribution statistical method are it is characterised in that each Statistical Area of described analysis
The step of the passenger flow information in domain and people information also includes:
When described user terminal is judged as producing a passenger flow in this statistical regions first, then this passenger flow is described system
The once new passenger flow in meter region;
In Preset Time after described user terminal is in once new passenger flow described in producing, and produce at least one in this statistical regions
Secondary passenger flow, then the passenger flow each time in described passenger flow at least one times be the once old passenger flow of this statistical regions;And
Calculate in predetermined amount of time same described user terminal and produce the total degree of a passenger flow, every in same described statistical regions
The time of staying sum of the mean residence time of passenger flow and all passenger flows.
5. passenger flow according to claim 3 and artificial abortion's distribution statistical method it is characterised in that described service end is stored with group
Knit unique identifier list, the list of common cell phone manufacturer and abnormal terminals list, described exclusive identification code is mac address, described
The step whether exclusive identification code of the described user terminal that detection scans is legal includes:
Detect whether the organization unique identifier that the mac address of described user terminal includes is located at described organization unique identifier
In list;
If being located in described organization unique identifier list, further according to the factory of described mac this user terminal of address detected
Whether business is located in the list of described common cell phone manufacturer;
If being located in the list of described common cell phone manufacturer, whether it is located at institute further according to described this user terminal of mac address detected
State in abnormal terminals list;
If being not at judging in described abnormal terminals list that the mac address of this user terminal is legal.
6. a kind of passenger flow and artificial abortion's distribution statisticses device, is applied to and the multiple WAP communications positioned at different statistical regions
The service end connecting is it is characterised in that this device includes:
Information receiving module, for receive WAP transmission by the end message acquired in real time scan user terminal
And the identification information of this WAP of unique mark binding;
Passenger flow and artificial abortion's distribution statisticses module, for according to the described end message receiving and identification information, analyzing each system
Passenger flow information in meter region and people information, draw corresponding Trip distribution statistical result and artificial abortion's distribution statisticses result, its
Described in passenger flow information include producing the user behavior corresponding to the user terminal of passenger flow at least one times in described statistical regions
Information, described people information includes producing the user's row corresponding to the user terminal of artificial abortion at least one times in described statistical regions
For information.
7. the passenger flow according to right 6 and artificial abortion's distribution statisticses device are it is characterised in that described end message is included for marking
Know signal intensity, described passenger flow and the artificial abortion of the exclusive identification code, stamp sweep time and this user terminal of described user terminal
The mode of the passenger flow information of distribution statisticses each statistical regions of module analysis and people information includes:
Detect whether the exclusive identification code of the described user terminal getting is legal;
If legal, judge whether this user terminal is located at described Statistical Area according to the signal intensity of this user terminal getting
Domain;
If being located at described statistical regions, this user terminal is calculated described according to described user terminal stamp corresponding sweep time
Time of staying of statistical regions, and this time of staying is compared with the time threshold setting, if more than described
Time threshold, then judge that described user terminal produces a passenger flow in this statistical regions, otherwise, it is determined that described user terminal is at this
Statistical regions produce an artificial abortion.
8. passenger flow according to claim 7 and artificial abortion's distribution statisticses device are it is characterised in that described passenger flow and people's flow distribution
The mode of passenger flow information and people information that statistical module analyzes each statistical regions also includes:
When described user terminal is judged as producing a passenger flow in this statistical regions first, then this passenger flow is described system
The once new passenger flow in meter region;
In Preset Time after described user terminal is in once new passenger flow described in producing, and produce at least one in this statistical regions
Secondary passenger flow, then the passenger flow each time in described passenger flow at least one times be the once old passenger flow of this statistical regions;And
Calculate in predetermined amount of time same described user terminal and produce the total degree of a passenger flow, every in same described statistical regions
The time of staying sum of the mean residence time of passenger flow and all passenger flows.
9. passenger flow according to claim 7 and artificial abortion's distribution statisticses device it is characterised in that described service end is stored with group
Knit unique identifier list, the list of common cell phone manufacturer and abnormal terminals list, described exclusive identification code is mac address, described
What when the passenger flow information of passenger flow and artificial abortion's distribution statisticses each statistical regions of module analysis and people information, detection got is described
The whether legal mode of the exclusive identification code of user terminal includes:
Detect whether the organization unique identifier that the mac address of described user terminal includes is located at described organization unique identifier
In list;
If being located in described organization unique identifier list, further according to the factory of described mac this user terminal of address detected
Whether business is located in the list of described common cell phone manufacturer;
If being located in the list of described common cell phone manufacturer, whether it is located at institute further according to described this user terminal of mac address detected
State in abnormal terminals list;
If being not at judging in described abnormal terminals list that the mac address of this user terminal is legal.
10. a kind of passenger flow and artificial abortion's distribution statistical system are it is characterised in that include Cloud Server, wireless controller and multiple nothing
Line access point, the plurality of WAP is arranged in different statistical regions, wherein:
Described Cloud Server is used for receiving being obtained by WAP of wireless controller transmission by real time scan user terminal
The end message taking and the identification information of this WAP of unique mark, and according to the end message receiving and mark letter
Breath, analyzes the passenger flow information in each statistical regions and people information, draws corresponding Trip distribution statistical result and people's flow point
Cloth statistical result, the user terminal institute that wherein said passenger flow information includes producing passenger flow at least one times in described statistical regions is right
The user behavior information answered, described people information includes the user terminal institute producing artificial abortion at least one times in described statistical regions
Corresponding user behavior information.
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