CN103458456B - User behavior detection methods based on mobile terminal Wi-Fi data and device - Google Patents
User behavior detection methods based on mobile terminal Wi-Fi data and device Download PDFInfo
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Abstract
The present invention relates to a kind of user behavior detection method based on mobile terminal Wi Fi data and device.User behavior detection methods based on mobile terminal Wi Fi data include: step one, obtain the mobile terminal Wi Fi packet that collects of audiomonitor and store；Step 2, is analyzed processing to the Wi Fi packet obtained, obtains user behavior statistical parameter；Step 3, stores described user behavior statistical parameter；Step 4, the graphically described user behavior statistical parameter of online displaying.The user behavior detection methods based on mobile terminal Wi Fi data of the present invention and device, carry the customer behavior mode of the smart mobile phone having turned on Wi Fi function in the environs of statistics and analysis shop.
Description
Technical field
The present invention relates to the communications field, particularly relate to a kind of user's row based on mobile terminal Wi-Fi data
For detection method and device.
Background technology
The passenger flow situation in market and the participative behavior of client can reflect the business circumstance of retail shop, are businessmans
Carry out the important evidence of business decision.For Xian Shang retail shop, e-commerce platform can use
The instruments such as Google Analytics obtain user's access situation to on-line shop, have had more ripe
Line on data analysing method, it is possible to provide real-time web page access user behavior analysis data to on-line shop,
So that what storekeeper was the fastest makes next step marketing program.But, for traditional Xian Xia retail shop, at present
Can only be reflected the management state in shop by monthly or annual income and expenses, this mode is inefficient,
Storekeeper is made often to miss the best opportunity of decision-making, if can be by under online for the data analysis scheme on line
A kind of technological means is used to realize, it will to improve the efficiency of decision-making of Xian Xia retail shop greatly.
Popularity rate along with the mobile intelligent terminal (such as smart mobile phone, panel computer etc.) that user carries
More and more higher, mobile terminal can be as a kind of mark identifying user, at present can be by specific
The Wi-Fi packet that mobile terminal is sent by Wi-Fi monitoring device equipment is collected, and then by dividing
The MAC Address of analysis packet uniquely identifies the user of mobile terminal.According to statistics, 40% to 70% take
User with smart mobile phone can open Wi-Fi function for a long time, and this ratio is in the trend risen.
Therefore, by monitoring Wi-Fi packet, and then a kind of side that user behavior pattern is analyzed is found
Method, is then supplied to storekeeper by real-time for analysis result rank by the hour, will improve Xian Xia retail shop greatly
Business decision efficiency.
Summary of the invention
The technical problem to be solved is to provide a kind of user based on mobile terminal Wi-Fi data
Behavioral value method and device, carries in the environs of statistics and analysis shop and has turned on Wi-Fi function
The customer behavior mode of smart mobile phone.
For solving above-mentioned technical problem, the present invention proposes a kind of use based on mobile terminal Wi-Fi data
Family behavioral value method, including:
Step one, obtains the mobile terminal Wi-Fi packet that collects of audiomonitor and stores；
Step 2, is analyzed processing to the Wi-Fi packet obtained, obtains user behavior statistical parameter；
Step 3, stores described user behavior statistical parameter；
Step 4, the graphically described user behavior statistical parameter of online displaying.
Further, above-mentioned user behavior detection method based on mobile terminal Wi-Fi data also can have
Following characteristics, step one includes:
The initial data of described Wi-Fi packet comprises the first mac address information, the second MAC Address letter
Breath, listening period stamp information, signal strength values, type of data packet, described first mac address information is
Mobile terminal Wi-Fi module mac address information, described second mac address information is audiomonitor Wi-Fi
Module MAC message address, before storing, obtains a MAC mark by the first mac address information encryption,
Second mac address information encryption is obtained the 2nd MAC mark, when storing described Wi-Fi packet,
Storage data include a MAC mark, the 2nd MAC mark and except described first mac address information, the
The initial data of the described Wi-Fi packet outside two mac address informations.
Further, above-mentioned user behavior detection method based on mobile terminal Wi-Fi data also can have
Following characteristics, step one includes:
The Wi-Fi packet gathered the same day set according to the monitoring date in described listening period stamp and monitoring
Standby MAC mark carries out a point table storage, and all data that an audiomonitor was collected in a day deposited by a table.
Further, above-mentioned user behavior detection method based on mobile terminal Wi-Fi data also can have
Following characteristics, step 2 includes:
From the Wi-Fi packet obtained, by the Wi-Fi packet of same user according to listening period
Order arranges, and same user uniquely identifies with its mobile terminal Wi-Fi module MAC Address；
Calculate the access duration of user, after described access duration is equal to arrangement under satisfied setting restrictive condition
The summation of the listening period difference of adjacent two Wi-Fi packets；
According to described access duration and default capture threshold value, enter shop threshold value, participation threshold value division user class
Type, described participation threshold value be more than described in enter shop threshold value, described in enter shop threshold value more than described capture threshold value, if
Accessing duration and be less than described capture threshold value, the most described user is the client passed by outside shop；If growing up when accessing
In or enter shop threshold value equal to described capture threshold value and described in being less than, the most described user is the Gu through shop
Visitor；If access duration enters shop threshold value described in being more than or equal to, the most described user is the client entering shop；
If accessing duration to be more than or equal to described participation threshold value, the most described user is for participating in client；
According to user type counting user flow, described customer flow includes total flow, shop external flux, prisoner
Obtain flow, through inflow-rate of water turbine, enter shop flow, participate in flow, described total flow equal to set time period inside trade
All access times sums that paving listens to, described shop external flux is secondary equal to accessing outside shop in the setting time period
Number sums, described capture enters shop access times sum equal to setting in the time period, described is equal to through inflow-rate of water turbine
Set in the time period and enter shop or the access times sum through shop in short-term, described in enter shop flow etc.
Entering the access times sum in shop in setting the time period, described participation flow is equal to setting in the time period
Access times sum in shop time long；
Analyzing user behavior parameter according to customer flow progress one, described user behavior parameter includes capture
Rate, jumping out rate, participation rate, described capture radio accounts for the ratio of described total flow equal to described capture flow,
Described rate of jumping out is equal to the described ratio accounting for described capture flow through inflow-rate of water turbine, and described participation rate is equal to described
Participate in flow account for described in enter the ratio of shop flow.
Further, above-mentioned user behavior detection method based on mobile terminal Wi-Fi data also can have
Following characteristics, step 2 includes:
The mobile terminal Wi-Fi module mac address information system comprised according to the Wi-Fi packet obtained
Meter customer group data, described customer group data include customer count, newly-increased client's number and return visit
Client's number, customer count is equal to entering contained by the flow of shop the first of Wi-Fi packet in the setting time
The sum of MAC Address, i.e. monitors the sum of mobile terminal Wi-Fi module MAC Address, newly-increased client
Number, equal to the newly-increased quantity monitoring mobile terminal Wi-Fi module MAC Address, pays a return visit client's number etc.
The quantity recorded before monitoring in mobile terminal Wi-Fi module MAC Address, i.e. total equal to client
Number deducts newly-increased client's number.
For solving above-mentioned technical problem, the invention allows for a kind of based on mobile terminal Wi-Fi data
User behavior detection device, including:
Acquisition module, for obtaining the mobile terminal Wi-Fi packet that audiomonitor collects；
Analyzing module, for the Wi-Fi packet obtained being analyzed process, obtaining user behavior system
Meter parameter；
Memory module, for storing mobile terminal Wi-Fi packet and the described user that acquisition module obtains
Behavioral statistics parameter；
Display module, shows described user behavior statistical parameter for graphically online.
Further, above-mentioned user behaviors based on mobile terminal Wi-Fi data detection device also can have
Following characteristics, the initial data of described Wi-Fi packet comprises the first mac address information, the 2nd MAC
Address information, listening period stamp information, signal strength values, type of data packet, described first MAC Address
Information is mobile terminal Wi-Fi module mac address information, and described second mac address information is that monitoring sets
Standby Wi-Fi module MAC message address, described memory module includes:
Ciphering unit, for before storing, obtains a MAC mark by the first mac address information encryption,
Second mac address information encryption is obtained the 2nd MAC mark, when storing described Wi-Fi packet,
Storage data include a MAC mark, the 2nd MAC mark and except described first mac address information, the
The initial data of the described Wi-Fi packet outside two mac address informations.
Further, above-mentioned user behaviors based on mobile terminal Wi-Fi data detection device also can have
Following characteristics, described memory module includes:
Divide table memory element, during the Wi-Fi packet for being gathered the same day stabs according to described listening period
The monitoring date and audiomonitor MAC mark carry out point table and store, an audiomonitor one deposited by a table
The all data collected in it.
Further, above-mentioned user behaviors based on mobile terminal Wi-Fi data detection device also can have
Following characteristics, described analysis module includes:
Sequencing unit, for from the Wi-Fi packet obtained, by the Wi-Fi data of same user
Bag arranges according to listening period order, and same user is with its mobile terminal Wi-Fi module MAC Address
Unique mark；
Computing unit, for calculating the access duration of user, described access duration sets limit equal to satisfied
The summation of the listening period difference of adjacent two Wi-Fi packets after arrangement under the conditions of system；
Division unit, for the capture threshold value according to described access duration and preset, enters shop threshold value, participation
Threshold value divides user type, described participation threshold value be more than described in enter shop threshold value, described in enter shop threshold value more than institute
Stating capture threshold value, if accessing duration to be less than described capture threshold value, the most described user is the client passed by outside shop；
If accessing duration to enter shop threshold value more than or equal to described capture threshold value and described in being less than, the most described user is warp
Cross the client in shop；If access duration enters shop threshold value described in being more than or equal to, the most described user is entrance shop
The client of paving；If accessing duration to be more than or equal to described participation threshold value, the most described user is for participating in client；
First statistic unit, for according to user type counting user flow, described customer flow includes always
Flow, shop external flux, capture flow, through inflow-rate of water turbine, enter shop flow, participate in flow, described total flow
The all access times sums listened to equal to retail shop in the setting time period, described shop external flux is equal to setting
Access times sum outside shop in time period, described capture equal to set in the time period enter shop access times it
With, described enter shop or the access times through shop through inflow-rate of water turbine in short-term equal to setting in the time period
Sum, described in enter shop flow equal to setting the access times sum entering shop in the time period, described participation
Access times sum in shop when flow is long equal in setting the time period；
Parametric analysis unit, for analyzing user behavior parameter, described use according to customer flow progress one
Family behavior parameter includes capture radio, jumps out rate, participation rate, and described capture radio accounts for equal to described capture flow
The ratio of described total flow, described in jump out rate equal to the described ratio accounting for described capture flow through inflow-rate of water turbine,
Described participation rate equal to described participation flow account for described in enter the ratio of shop flow.
Further, above-mentioned user behaviors based on mobile terminal Wi-Fi data detection device also can have
Following characteristics, described analysis module includes:
Second statistic unit, for the mobile terminal Wi-Fi comprised according to the Wi-Fi packet obtained
Module mac address information statistics customer group data, described customer group data include customer count,
Newly-increased client's number and return visit client's number, customer count enters contained by the flow of shop equal in the setting time
The sum of the first MAC Address of Wi-Fi packet, i.e. monitors mobile terminal Wi-Fi module MAC ground
The sum of location, newly-increased client's number is equal to the newly-increased number monitoring mobile terminal Wi-Fi module MAC Address
Amount, pays a return visit client's number equal to having recorded before monitoring in mobile terminal Wi-Fi module MAC Address
Quantity, i.e. deducts newly-increased client's number equal to customer count.
The user behavior detection methods based on mobile terminal Wi-Fi data of the present invention and device, statistics and
The customer behavior mode of the smart mobile phone having turned on Wi-Fi function is carried in analyzing shop environs.
Accompanying drawing explanation
Fig. 1 is user behavior detection methods based on mobile terminal Wi-Fi data in the embodiment of the present invention
Flow chart；
Fig. 2 is to apply user behavior detection side based on mobile terminal Wi-Fi data in the embodiment of the present invention
The system schematic of method；
Fig. 3 is data analysis schematic diagram in the embodiment of the present invention；
Fig. 4 is parsing reported data schematic flow sheet in the embodiment of the present invention；
Fig. 5 is data packet format schematic diagram in the embodiment of the present invention；
Fig. 6 is to analyze user in the embodiment of the present invention to access duration schematic flow sheet；
Fig. 7 is analysis user behavior parametric algorithm schematic diagram in the embodiment of the present invention；
Fig. 8 is user behaviors based on mobile terminal Wi-Fi data detection device in the embodiment of the present invention
Structured flowchart.
Detailed description of the invention
Being described principle and the feature of the present invention below in conjunction with accompanying drawing, example is served only for explaining this
Invention, is not intended to limit the scope of the present invention.
Fig. 1 is user behavior detection methods based on mobile terminal Wi-Fi data in the embodiment of the present invention
Flow chart.As it is shown in figure 1, in the present embodiment, user behaviors based on mobile terminal Wi-Fi data are examined
The flow process of survey method may include steps of:
Step S101, obtains the mobile terminal Wi-Fi packet that collects of audiomonitor and stores；
Specifically, the mobile terminal Wi-Fi packet of acquisition can be stored in data base, and provide
Inquiry and deletion interface to Wi-Fi packet.Data base can be carried out based on NoSQL types of database
Data store.
Specifically, step S101 can realize by data collection interface program, data collection interface program
To provide REST(Representational State Transfer, declarative state shifts) standard
API(Application Programming Interface, application programming interface), it is provided that
The increase of data, delete, revise, query function, interface accessing will provide two kinds of security mechanisms, a kind of
Based on HTTP(HyperText Transfer Protocol, HTML (Hypertext Markup Language)) agreement, need
API-Key is provided to authorize, another kind of based on HTTPS(Secure Hypertext Transfer
Protocol, Secure Hypertext Transfer Protocol) security protocol communication, it is ensured that interface can be had secure access to.
The initial data of Wi-Fi packet comprises mobile terminal Wi-Fi module MAC(Media Access
Control, medium access control) address information, audiomonitor MAC message address, listening period stamp
Information, type of data packet, signal strength values, communication channel etc., convenient following for statement, will be mobile
Terminal Wi-Fi module mac address information is referred to as the first mac address information, by audiomonitor Wi-Fi mould
Block MAC message address is referred to as the second mac address information.
Step S102, is analyzed processing to the Wi-Fi packet obtained, and obtains user behavior statistics ginseng
Amount；
Analyzing and processing could be arranged to periodically carry out.The cycle of analyzing and processing can dynamically revise, can
It it is 1 hour to arrange the shortest analyzing and processing cycle, to ensure that user can obtain in real time by 1 hour
Data results.
User behavior statistical parameter can include customer flow, capture radio, jump out rate, participation rate, retention
Time, returning rate and return visit frequency etc..
It is being analyzed processing to the Wi-Fi packet obtained, is obtaining the process of user behavior statistical parameter
In analytical data can also be placed in data base and store.
The analytical data of database purchase may include that 1) audiomonitor collect data in one day
MAC accesses duration record, the initial time that one user of every record description once accesses, and accesses duration；
2) the MAC statistical information of all data of an audiomonitor collection, one user of every record description
Access times, each access time and user type；3) audiomonitor monitoring of a day
Analysis result collects, the intraday all analysis parameters of one audiomonitor of every record description.Data 1)
(ID) will be identified by audiomonitor MAC and the date will carry out a point table storage；Data 2) and data 3) will
A point table storage is carried out by the ID of audiomonitor.
Step S103, stores user behavior statistical parameter；
Can be according to the list structure preset in data base, data (the i.e. user that will obtain after analyzing and processing
Behavioral statistics parameter) it is persisted in data base, and set up index.
Step S104, shows user behavior statistical parameter the most online.
Web statistics can be used to show service, it is provided that the mode of chart and instrumental panel carries out data display,
The analysis result of data is displayed with intuitive way, it is provided that the historical record inquiry of different time sections
And the Data Comparison of different monitoring point.
Step S104 can be that user provides data display intuitively.
Specifically, step S101 may include that
Before storing, the first mac address information encryption is obtained a MAC mark and (use DEST_ID table
Show), the second mac address information encryption is obtained the 2nd MAC mark (representing with MONITOR_ID),
Oneth MAC mark, the 2nd MAC mark are referred to as MAC ID, when storing Wi-Fi packet, and storage
Data include a MAC mark, the 2nd MAC mark and remove the first mac address information, the 2nd MAC ground
The initial data of the Wi-Fi packet outside the information of location.It is to say, the MAC ID after encryption is deposited
In data base, the most directly MAC is stored, be so possible to prevent the privacy information of detected target
Reveal, and ensure the uniqueness of MAC ID.
Specifically, can be to the first mac address information and the second MAC Address in the way of using md5 encryption
Information is encrypted.
In embodiments of the present invention, step S101 can also include: the Wi-Fi data gathered the same day
Wrap the monitoring date in stabbing according to listening period and audiomonitor MAC mark (i.e. MONITOR_ID) is carried out
Dividing table storage, all data that an audiomonitor was collected in a day deposited by a table.Further, may be used
So that MONITOR_ID is set up concordance list, it is also possible to add concordance list and deposit network interface card with its corresponding data table
Index relative.Table is divided to deposit the recall precision that can greatly improve data.
Specifically, when the analyzing and processing of step S102 may include that and obtains one from the data of storage
Between the mac address information of sequence, calculate user by this time series and access duration, and according to user
Access the behavior parameter of one user of feature decision of duration, and then analyze user type and visit shop ginseng
With degree.
In embodiments of the present invention, step S102 can include following sub-step a to e:
Step a, from obtain Wi-Fi packet, by the Wi-Fi packet of same user according to
Listening period order arranges, and same user uniquely marks with its mobile terminal Wi-Fi module MAC Address
Know；
Step b, calculates the access duration of user, accesses duration and arranges equal under satisfied setting restrictive condition
The summation of the listening period difference of adjacent two Wi-Fi packets after row；
If t [i] represents a Wi-Fi packet in the i moment, time series
T [1], t [2], t [3] ..., and t [n] } represent user's monitored mobile terminal in this time series
The timestamp of Wi-Fi packet, Δ t [i]=t [i+1]-t [i], refer to adjacent two Wi-Fi data
The listening period of bag is poor, sets single reference threshold value T=2hour, if Δ t [i]≤T, then it is assumed that
The MAC Address continued presence of t [i] to t [i+1] this mobile terminal interior during this period of time, i.e. user continues
In the range of Wi-Fi audiomonitor is monitored, if Δ t [i] ＞ T, then it is assumed that t [i] and t [i+1] belongs to user
Twice access.Thus calculate user and access duration DDL(Dwell Duration Length), be
Refer to meet the listening period difference of adjacent two Wi-Fi packets under setting restrictive condition be respectively less than or be equal to
Under single reference threshold condition, the summation of listening period difference, is formulated as DDL=∑ Δ t [i].
Step c, according to access duration and default capture threshold value, enters shop threshold value, participation threshold value division use
Family type, wherein, participating in threshold value and is more than into shop threshold value, entering shop threshold value more than capturing threshold value, during if accessing
Long less than capture threshold value, the then client (Outside Customer) that user passes by outside being shop；If access
Long more than or equal to capturing threshold value and being less than into shop threshold value, then user is the client (Walkby through shop
Customer)；If accessing duration and being more than or equal to into shop threshold value, then user is the client entering shop
(Inside Customer)；If accessing duration more than or equal to participating in threshold value, then user is for participating in client
(Engaged Customer)；
Assume that capturing threshold value CTV represents, enters shop threshold value ITV and represents, participate in threshold value ETV and represent,
In a specific embodiment, can arrange CTV=2min(minute), ITV=5min, ETV=30min.
Each time threshold in step c can dynamically set, and can repair according to using scene
Change.The initialization system of time threshold can provide 3 kinds of setting means: 1) system will provide recommendation；2)
User can be with self-defined threshold value；3) after systematic collection a period of time, according to the analysis of data and scene
Situation be analyzed, calculate the value best suited with practical situation.
Step d, according to user type counting user flow, wherein, customer flow includes total flow, shop
External flux, capture flow, through inflow-rate of water turbine, enter shop flow, participate in flow, total flow be equal to the setting time
All access times sums that Duan Nei retail shop listens to, shop external flux accesses equal to outside shop in the setting time period
Number of times sum, capture enters shop access times sum equal in setting the time period, through inflow-rate of water turbine equal to when setting
Between enter shop or the access times sum through shop in short-term in section, enter shop flow equal to the setting time
The access times sum in shop is entered, when participating in long in flow is equal to set the time period in shop in section
Access times sum；
Total flow TT(Total Traffic) access total amount for describing all users monitored of retail shop.
Shop external flux OT(Outside Traffic) for describing the user's visit capacity outside retail shop, when
When the access duration of user is less than certain predetermined threshold value (such as 2 minutes), it is believed that user does not enter shop.
Capture flow CT(Capture Traffic) for describing the user's visit capacity entering retail shop's scope,
When the access duration of user exceedes certain predetermined threshold value (such as 2 minutes), it is believed that user may enter shop.
Through inflow-rate of water turbine WT(Walkby Traffic) entrance retail shop or the user through retail shop in short-term are described
Visit capacity, in inflow-rate of water turbine WT, the access duration of user exceedes certain predetermined threshold value (such as 2 minutes)
And when being less than into shop threshold value (such as 5 minutes).
Enter shop flow IT(Inside Traffic) for describe enter retail shop user's visit capacity, when with
When the access duration at family exceedes certain predetermined threshold value (such as 5 minutes), it is believed that user has entered shop and accessed,
Belong to retail shop client (Customer).
Participate in flow ET(Engagement Traffic) user's visit capacity in shop in time describing long,
May be carried out some in shop movable, such as, do shopping, fitting etc., when the access duration of user exceedes
During certain predetermined threshold value (such as 30 minutes), it is believed that with movable in shop during the head of a household, belong to high participation
Client or height degree of being involved in client (Engaged Customer).
Step e, analyzes user behavior parameter according to customer flow progress one, and user behavior parameter includes
Capture radio, jumping out rate, participation rate, capture radio accounts for the ratio of total flow equal to described capture flow, jumps out
Rate is equal to the described ratio accounting for capture flow through inflow-rate of water turbine, and participation rate accounts for into shop flow equal to participating in flow
Ratio.
Capture radio (Capture Rate) enters the customer flow situation of retail shop for describing, and specifically refers to
Capture flow accounts for the ratio of total flow, and computing formula is: Capture Rate=captures flow CT/ total flow
TT；
Jump out rate (Bounce Rate) for describing the ratio left after client enters shop in short-term, during access
Length meets predetermined threshold value and requires (such as 2-5 minute), and computing formula is: jump out rate Bounce Rate=
Flow CT is captured through inflow-rate of water turbine WT/.
Participation rate (Engagement Rate), for describing client's situation of high participation, specifically refers to
Participating in flow and account for the ratio into shop flow, computing formula is: Engagement Rate=participates in flow ET/
Enter shop flow IT.
In embodiments of the present invention, step S102 can also comprise the steps: according to the Wi-Fi obtained
The mobile terminal Wi-Fi module mac address information statistics customer group data that packet is comprised, wherein,
Customer group data include customer count, newly-increased client's number and pay a return visit client's number, customer count
Equal to the sum of the first MAC Address entering Wi-Fi packet contained by the flow of shop in the setting time, i.e. monitor
To the sum of mobile terminal Wi-Fi module MAC Address, newly-increased client's number monitors movement equal to newly-increased
The quantity of terminal Wi-Fi module MAC Address, pays a return visit client's number equal to monitoring mobile terminal Wi-Fi
The quantity recorded before in module MAC Address, i.e. deducts newly-increased client's number equal to customer count.
For real time data, the user behavior detection methods based on mobile terminal Wi-Fi data of the present invention
The real time data that may provide the user with hour rank is shown.By the present invention based on mobile terminal
The user behavior detection method of Wi-Fi data, can the user of monitored MACs all to the same day per hour
Behavior parameter calculates, and the time range of calculating is to performing calculating time point (essence from the zero point on the same day
Really to hour).If data in only calculating a hour, access the duration user more than a hour and calculate and will go out
Mistake, the mode recalculating intraday all data per hour avoids this problem.Result of calculation will
Being persisted in data base, storage mode can be daily to store, and sets up concordance list, improves number
According to recall precision.For historical data, it is provided that the inquiry of historical data in the range of different time,
Including per diem, week, the moon, the time period in year, and user-defined time range, user determines and looks into
After the time range ask, from index, search the historical data table of correspondence, from data base, directly extract meter
After calculation preserve data and show, it is not necessary to carry out extra calculating, it is ensured that higher search efficiency.
The user behavior detection methods based on mobile terminal Wi-Fi data of the present invention can pass through a mark
Accurate REST access interface, it is achieved the collection of Wi-Fi packet；Extranet access IP and port are provided,
Backstage can be reported to be data according to the form of interface definition after the Wi-Fi data decryptor equipment networking of front end
System.Interface realizes multiple threads reported data, and what the audiomonitor being deployed in front end can be concurrent reports
Data, independent operating does not interfere with each other.
The user behavior detection methods based on mobile terminal Wi-Fi data of the present invention have certain real-time
Property, data can be reported to background system in every 10 minutes by front end data audiomonitor, and background system is every
Hour being analyzed data being calculated and stored in data base, Web shows that end can arrive each little in real time
Time show up-to-date user behavior parameter.
In the user behavior detection methods based on mobile terminal Wi-Fi data of the present invention, initial data is pressed
The MONITOR_ID of audiomonitor and date carry out a point table storage, and set up index, the analysis after calculating
Data the most also carry out a point table storage by MONITOR_ID and date, set up index.System queries history
During data, from concordance list, first find target matrix, then from tables of data, retrieve data.Owing to analyzing
Data have calculated and have existed in data base, it is not necessary to inquiry is to recalculate, and divide table to deposit by date
Storage, sets up concordance list, it is to avoid a table stores all data and carries out extensive poll retrieval, greatly
Improve the recall precision of data.
In the user behavior detection methods based on mobile terminal Wi-Fi data of the present invention, Web shows end
The mode providing instrumental panel chart is shown, it is possible to showing the parameter describing user behavior intuitively, data can
With by the hour, sky, week, the moon, year different time scope check.
Below by a concrete application example, the use based on mobile terminal Wi-Fi data to the present invention
Family behavioral value method is described in further detail.
Fig. 2 is to apply user behavior detection side based on mobile terminal Wi-Fi data in the embodiment of the present invention
The system schematic of method.
As in figure 2 it is shown, this system is made up of an Analysis server and a data server, front end exists
Indoor environment deploys N platform audiomonitor, disposes data collection interface program in data server, it is provided that
REST api interface carries out data for front end audiomonitor and reports, and the data of collection leave MongoDB in
In data base.The background data package that Analysis server is disposed analyzes program, periodically peeks from data server
According to, calculate and result is stored in database server.Analysis server is disposed Web server,
There is provided based on B/S(browser and server) the web access service of framework, Web service takes from data
Business device obtains analysis result data, displays at browser end in the way of instrumental panel.
Fig. 3 is data analysis schematic diagram in the embodiment of the present invention.Collect as it is shown on figure 3, analyze end data
Initial data will be compressed after receiving the data that front end audiomonitor reports and divide table to deposit by interface routine
Storage is in data base, and data packet analysis program periodically reads initial data, calculates the behavior parameter of user,
And leave in data base.Web statistics shows that service provides the diagrammatic representation of user behavior parameter, equipment
Status information is checked and account management function.
Fig. 4 is parsing reported data schematic flow sheet in the embodiment of the present invention.As shown in Figure 4, data are received
By periodically receiving the packet that front end audiomonitor reports, (audiomonitor uploads one in every 10 minutes to collection program
Secondary), the data packet format of collection is as shown in Figure 5.System analysis packet, then according to audiomonitor
MONITOR_ID and monitor the date and data are carried out point table store, the minimum time precision of packet is
Second, if there being multiple packet in one second, a bag will be compressed into.Data will be set up audiomonitor and its
The index of corresponding tables of data.
The initial data of systematic collection is one group of time series monitored for MAC, and system will be according to time sequence
Row isolate the access duration of each MAC, i.e. user.As shown in Figure 6, program is analyzed (the least
Time) read the initial data time series on the same day, calculate the time duration that once accesses of user, note
Record initial time and the time of termination.Default single reference time threshold is 2 hours, if time series
In the time interval of two time points less than or equal to 2 hours, then it is assumed that the two sequence of points belongs to once
Access captured point.The result of calculation accessing duration will be deposited by audiomonitor MONITOR_ID and date
It is placed in data base, and sets up index.
User accesses the duration analysis foundation as different user behavioral pattern.As it is shown in fig. 7, system
Set capture threshold value (CTV), enter shop threshold value (ITV) and participate in threshold value (ETV), and according to user
Access duration and MAC calculate the parameter describing user behavior pattern, including total flow (TT), shop
External flux (OT), capture flow (CT), through inflow-rate of water turbine (WT), enter shop flow (IT), participate in
Flow (ET), capture radio (CR), jump out rate (BR), participation rate (ER), customer count (TC),
Newly-increased client's number (NC), return visit client's number (RC), average access duration (VD), Gao Canyu
Degree average access duration (EVD).These parameters will daily leave in data base, as describing user
The data of behavioral pattern.
The user behavior detection methods based on mobile terminal Wi-Fi data of the present invention, it is possible to add up and divide
The customer behavior mode of the smart mobile phone having turned on Wi-Fi function is carried in the environs of analysis shop.
The invention allows for a kind of user behaviors based on mobile terminal Wi-Fi data detection device, use
To perform above-mentioned user behavior detection methods based on mobile terminal Wi-Fi data.
Fig. 8 is user behaviors based on mobile terminal Wi-Fi data detection device in the embodiment of the present invention
Structured flowchart.As shown in Figure 8, in the present embodiment, user behaviors based on mobile terminal Wi-Fi data
Detection device can include acquisition module 810, analyze module 820, memory module 830 and display module
840.Acquisition module 810, analysis module 820, memory module 830 and display module 840 are sequentially connected.
Acquisition module 810 is for obtaining the mobile terminal Wi-Fi packet that audiomonitor collects.Analyze module
820, for the Wi-Fi packet obtained is analyzed process, obtain user behavior statistical parameter.Deposit
Storage module 830 is for storing mobile terminal Wi-Fi packet and the described user behavior that acquisition module obtains
Statistical parameter.Display module 840 is for showing the use of memory module 830 storage the most online
Family behavioral statistics parameter.
Wherein, the initial data of Wi-Fi packet comprises the first mac address information, the second MAC Address
Information, listening period stamp information, the first mac address information is mobile terminal Wi-Fi module MAC Address
Information, the second mac address information is audiomonitor MAC message address.In the embodiment of the present invention, storage
Module 830 may further include ciphering unit.Ciphering unit is for before storing, by a MAC ground
Location information encryption obtains a MAC mark, and the second mac address information encryption is obtained the 2nd MAC mark,
When storing Wi-Fi packet, storage data include a MAC mark, the 2nd MAC mark and except the
The initial data of the Wi-Fi packet outside one mac address information, the second mac address information.
In the embodiment of the present invention, memory module 830 may further include a point table memory element.Table is divided to deposit
Storage unit is for marking Wi-Fi packet according to the monitoring date in listening period stamp and audiomonitor MAC
Knowing and carry out a point table storage, all data that an audiomonitor was collected in a day deposited by a table.
In the embodiment of the present invention, analyze module 820 may further include sequencing unit, computing unit,
Division unit, the first statistic unit and parametric analysis unit.Wherein, sequencing unit is for from acquisition
In Wi-Fi packet, the Wi-Fi packet of same user is arranged according to listening period order,
Same user uniquely identifies with its mobile terminal Wi-Fi module MAC Address.Computing unit is used for calculating use
The access duration at family, accesses duration equal to adjacent two Wi-Fi after arrangement under satisfied setting restrictive condition
The summation of the listening period difference of packet.Division unit is for according to accessing duration and the capture threshold preset
Value, enter shop threshold value, participate in threshold value divide user type, participate in threshold value be more than into shop threshold value, enter shop threshold value
More than capture threshold value, if accessing duration less than described capture threshold value, the then client that user passes by outside being shop；
If accessing duration and more than or equal to capture threshold value and being less than into shop threshold value, then user is the Gu through shop
Visitor；If accessing duration and being more than or equal to into shop threshold value, then user is the client entering shop；If access
Long more than or equal to participating in threshold value, then user is for participating in client.First statistic unit is for according to user class
Type counting user flow, customer flow include total flow, shop external flux, capture flow, through inflow-rate of water turbine,
Enter shop flow, participate in flow, all access times that total flow listens to equal to retail shop in the setting time period
Sum, shop external flux is equal to access times sum outside shop in the setting time period, and capture is equal to setting the time period
Inside enter shop access times sum, enter shop in short-term or through shop through inflow-rate of water turbine equal in setting the time period
The access times sum of paving, enters shop flow equal to the access times sum entering shop in setting the time period,
Access times sum in shop when participating in long in flow is equal to set the time period.Parametric analysis unit is used
In analyzing user behavior parameter according to customer flow progress one, user behavior parameter includes capture radio, jumping
Going out rate, participation rate, capture radio accounts for the ratio of total flow equal to described capture flow, jumps out rate equal to passing through
Flow accounts for the ratio of capture flow, and participation rate accounts for the ratio into shop flow equal to participating in flow.
In the embodiment of the present invention, analyze module 820 and can further include the second statistic unit.Second
Statistic unit is for the mobile terminal Wi-Fi module MAC ground comprised according to the Wi-Fi packet obtained
Location Information Statistics customer group data, customer group data include customer count, newly-increased client's number and
Paying a return visit client's number, customer count is equal to entering the of Wi-Fi packet contained by the flow of shop in the setting time
The sum of one MAC Address, i.e. monitors the sum of mobile terminal Wi-Fi module MAC Address, newly-increased Gu
Guest's number, equal to the newly-increased quantity monitoring mobile terminal Wi-Fi module MAC Address, pays a return visit client's number
Equal to monitoring the quantity recorded before in mobile terminal Wi-Fi module MAC Address, i.e. equal to client
Total number of persons deducts newly-increased client's number.
User behaviors based on the mobile terminal Wi-Fi data detection device of the present invention, it is possible to add up and divide
The customer behavior mode of the smart mobile phone having turned on Wi-Fi function is carried in the environs of analysis shop.
The foregoing is only presently preferred embodiments of the present invention, not in order to limit the present invention, all in the present invention
Spirit and principle within, any modification, equivalent substitution and improvement etc. made, should be included in this
Within bright protection domain.
Claims (2)
1. user behavior detection methods based on mobile terminal Wi-Fi data, its feature
It is, including:
Step one, obtains the mobile terminal Wi-Fi packet that collects of audiomonitor and stores；
The initial data of described Wi-Fi packet comprises the first mac address information, the 2nd MAC
Address information, listening period stamp information, signal strength values, type of data packet, described first
Mac address information is mobile terminal Wi-Fi module mac address information, described 2nd MAC ground
Location information is audiomonitor Wi-Fi module MAC message address, before storing, by a MAC
Address information encryption obtains a MAC mark, and the second mac address information encryption is obtained second
MAC identify, store described Wi-Fi packet time, storage data include the oneth MAC mark,
2nd MAC identifies and in addition to described first mac address information, the second mac address information
The initial data of described Wi-Fi packet；The Wi-Fi packet gathered the same day is according to described
Monitoring date and audiomonitor MAC mark in listening period stamp carry out a point table storage, a table
Deposit all data that an audiomonitor was collected in a day；
Step 2, is analyzed processing to the Wi-Fi packet obtained, and obtains user behavior system
Meter parameter；Step 2 includes:
From the Wi-Fi packet obtained, by the Wi-Fi packet of same user according to prison
Listening time sequencing to arrange, same user is with its mobile terminal Wi-Fi module MAC Address only
One mark；
Calculating the access duration of user, described access duration is equal under satisfied setting restrictive condition
The summation of the listening period difference of adjacent two Wi-Fi packets after arrangement；
According to described access duration and default capture threshold value, enter shop threshold value, participation threshold value division
User type, described participation threshold value be more than described in enter shop threshold value, described in enter shop threshold value more than described
Capture threshold value, if accessing duration to be less than described capture threshold value, the most described user is to pass by outside shop
Client；If accessing duration to enter shop threshold value, then more than or equal to described capture threshold value and described in being less than
Described user is the client through shop；If access duration enters shop threshold value described in being more than or equal to,
The most described user is the client entering shop；If accessing duration more than or equal to described participation threshold
Value, the most described user is for participating in client；
According to user type counting user flow, described customer flow includes total flow, shop outflow
Amount, capture flow, through inflow-rate of water turbine, enter shop flow, participate in flow, described total flow is equal to setting
Fixing time all access times sums that Duan Nei retail shop listens to, described shop external flux is equal to setting
Access times sum outside shop in time period, described capture accesses secondary equal to entering shop in setting the time period
Number sums, described enter shop or through shop through inflow-rate of water turbine equal to setting in the time period in short-term
Access times sum, described in enter shop flow equal to setting the access time entering shop in the time period
Number sums, described participation flow equal to set in the time period long time access times in shop it
With；
User behavior parameter, described user behavior parameter bag is analyzed according to customer flow progress one
Include capture radio, jump out rate, participation rate, described capture radio equal to described capture flow account for described always
The ratio of flow, described in jump out rate equal to the described ratio accounting for described capture flow through inflow-rate of water turbine,
Described participation rate equal to described participation flow account for described in enter the ratio of shop flow；
The mobile terminal Wi-Fi module MAC Address comprised according to the Wi-Fi packet obtained
Information Statistics customer group data, described customer group data include customer count, newly-increased Gu
Guest's number and return visit client's number, customer count enters contained by the flow of shop equal in the setting time
The sum of the first MAC Address of Wi-Fi packet, i.e. monitors mobile terminal Wi-Fi module
The sum of MAC Address, newly-increased client's number monitors mobile terminal Wi-Fi module equal to newly-increased
The quantity of MAC Address, pays a return visit client's number equal to monitoring mobile terminal Wi-Fi module MAC
The quantity recorded before in address, i.e. deducts newly-increased client's number equal to customer count；
Step 3, stores described user behavior statistical parameter；
Step 4, the graphically described user behavior statistical parameter of online displaying.
2. user behaviors based on a mobile terminal Wi-Fi data detection device, its feature
It is, including:
Acquisition module, for obtaining the mobile terminal Wi-Fi packet that audiomonitor collects；
The initial data of described Wi-Fi packet comprises the first mac address information, the second MAC Address
Information, listening period stamp information, signal strength values, type of data packet, a described MAC ground
Location information is mobile terminal Wi-Fi module mac address information, described second mac address information
For audiomonitor Wi-Fi module MAC message address；
Analyzing module, for the Wi-Fi packet obtained being analyzed process, obtaining user
Behavioral statistics parameter；
Described analysis module includes: sequencing unit, for the Wi-Fi packet from acquisition,
The Wi-Fi packet of same user is arranged according to listening period order, same user
Uniquely identify with its mobile terminal Wi-Fi module MAC Address；
Computing unit, for calculating the access duration of user, described access duration is equal to meeting
Set the summation of the listening period difference of adjacent two Wi-Fi packets after arrangement under restrictive condition；
Division unit, for according to described access duration and preset capture threshold value, enter shop threshold value,
Participate in threshold value divide user type, described participation threshold value be more than described in enter shop threshold value, described in enter shop
Threshold value is more than described capture threshold value, if accessing duration less than described capture threshold value, the most described user
For the client passed by outside shop；If accessing duration more than or equal to described capture threshold value and less than described
Entering shop threshold value, the most described user is the client through shop；If accessing duration more than or equal to institute
Stating into shop threshold value, the most described user is the client entering shop；If accessing duration to be more than or equal to
Described participation threshold value, the most described user is for participating in client；
First statistic unit, for according to user type counting user flow, described customer flow
Including total flow, shop external flux, capture flow, through inflow-rate of water turbine, enter shop flow, participate in flow,
All access times sums that described total flow listens to equal to retail shop in the setting time period, described
Shop external flux is equal to access times sum outside shop in the setting time period, and described capture is equal to when setting
Between enter shop access times sum in section, described enter in short-term equal in setting the time period through inflow-rate of water turbine
Shop or the access times sum through shop, described in enter shop flow equal to setting in the time period
Enter the access times sum in shop, in shop when described participation flow is long equal in setting the time period
Access times sum in paving；
Parametric analysis unit, for analyzing user behavior parameter according to customer flow progress one,
Described user behavior parameter includes capture radio, jumps out rate, participation rate, and described capture radio is equal to institute
State capture flow and account for the ratio of described total flow, described in jump out rate and account for institute equal to described through inflow-rate of water turbine
State capture flow ratio, described participation rate equal to described participation flow account for described in enter shop flow
Ratio；
Second statistic unit, for the mobile terminal comprised according to the Wi-Fi packet obtained
Wi-Fi module mac address information statistics customer group data, described customer group data include
Customer count, newly-increased client's number and return visit client's number, customer count is equal to when setting
In enter the sum of the first MAC Address of Wi-Fi packet contained by the flow of shop, i.e. monitor shifting
The sum of dynamic terminal Wi-Fi module MAC Address, newly-increased client's number monitors shifting equal to newly-increased
The quantity of dynamic terminal Wi-Fi module MAC Address, it is mobile whole equal to monitoring to pay a return visit client's number
The quantity recorded before in end Wi-Fi module MAC Address, i.e. deducts equal to customer count
Newly-increased client's number；
Memory module, for storing mobile terminal Wi-Fi packet and the institute that acquisition module obtains
State user behavior statistical parameter；Described memory module includes: ciphering unit, is used for before storing,
First mac address information encryption is obtained a MAC mark, the second mac address information is added
Close obtaining the 2nd MAC mark, when storing described Wi-Fi packet, storage data include the
One MAC mark, the 2nd MAC identify and except described first mac address information, the 2nd MAC ground
The initial data of the described Wi-Fi packet outside the information of location；Described memory module includes: point
Table memory element, during the Wi-Fi packet for being gathered the same day stabs according to described listening period
The monitoring date and audiomonitor MAC mark carry out point table and store, a monitoring deposited by a table
All data that equipment was collected in one day；
Display module, shows described user behavior statistical parameter for graphically online.
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Families Citing this family (31)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104917626B (en) * | 2014-03-14 | 2018-11-16 | 北京众源线下信息科技有限公司 | Collecting method and device in user behavior analysis |
| CN104063478B (en) * | 2014-07-02 | 2017-06-06 | 董可 | Specific region population consuming standard sensory perceptual system and method based on mobile device |
| CN104361658B (en) * | 2014-09-30 | 2017-05-31 | 北京锐安科技有限公司 | The detection method and device of a kind of region Nei Ge places people information |
| CN104778642B (en) * | 2015-03-20 | 2018-04-13 | 北京邮电大学 | Campus user data processing method, server and monitoring system based on WiFi |
| CN106301866B (en) * | 2015-05-12 | 2020-07-10 | 杭州海康威视数字技术股份有限公司 | Target object statistical method and device |
| CN106303370A (en) * | 2015-05-12 | 2017-01-04 | 杭州海康威视数字技术股份有限公司 | Determine the method for target object position, Apparatus and system |
| CN105046944A (en) * | 2015-06-26 | 2015-11-11 | 浙江工业大学 | Bus passenger flow data acquisition method based on mobile phone MAC address scanning |
| CN105162622B (en) * | 2015-08-03 | 2019-02-12 | 瑞斯康达科技发展股份有限公司 | A kind of storage method and system |
| CN105224685A (en) * | 2015-10-28 | 2016-01-06 | 同济大学 | A kind of system of digging user cyclic pattern and method thereof |
| CN105426421A (en) * | 2015-11-03 | 2016-03-23 | 武汉地大信息工程股份有限公司 | Tense monitoring data quick visualization method and system |
| CN105472036A (en) * | 2016-01-06 | 2016-04-06 | 上海斐讯数据通信技术有限公司 | Returned customer quantity statistics method and system as well as router |
| CN107169398A (en) * | 2016-03-07 | 2017-09-15 | 阿里巴巴集团控股有限公司 | Signal processing method and device |
| CN105809959B (en) * | 2016-03-31 | 2020-09-25 | 腾讯科技（深圳）有限公司 | Passenger number counting method, device and system |
| CN106028283A (en) * | 2016-05-26 | 2016-10-12 | 上海网数信息科技有限公司 | Method and system for analyzing user offline behaviors through wireless network data |
| CN106211210B (en) * | 2016-07-21 | 2020-02-07 | 深圳奇迹智慧网络有限公司 | Mobile terminal MAC data acquisition method |
| CN108124257B (en) * | 2016-11-28 | 2020-12-15 | 中国联合网络通信集团有限公司 | Evaluation processing method and device |
| CN106982411A (en) * | 2017-03-20 | 2017-07-25 | 华南理工大学 | A kind of real-time passenger flow statistical method based on WIFI probe datas |
| CN106937253B (en) * | 2017-04-17 | 2020-07-03 | 汇纳科技股份有限公司 | Customer judgment method and system and server |
| CN107105412A (en) * | 2017-06-01 | 2017-08-29 | 深圳市咖讯科技有限公司 | The method and device of solid shop/brick and mortar store guest flow statistics |
| CN107864451B (en) * | 2017-10-26 | 2020-10-30 | 深圳中科爱讯科技有限公司 | Target positioning method and system based on mobile terminal and WiFi probe |
| CN108090493B (en) * | 2017-11-15 | 2019-03-05 | 南京光普信息技术有限公司 | It is a kind of based on wifi positioning into shop customer data statistical method |
| CN108011761A (en) * | 2017-12-06 | 2018-05-08 | 易居（中国）企业集团股份有限公司 | The method of collection and analysis visitor's data based on big data |
| CN108389060B (en) * | 2018-02-28 | 2021-10-29 | 南京芝麻信息科技有限公司 | Customer loyalty information processing method and device |
| CN108597065A (en) * | 2018-03-12 | 2018-09-28 | 南京甄视智能科技有限公司 | Passenger flow statistical method based on recognition of face |
| CN108449716A (en) * | 2018-03-28 | 2018-08-24 | 北京智慧空间科技有限责任公司 | A kind of user property analysis method and system based on wireless sensor |
| CN109064166A (en) * | 2018-07-27 | 2018-12-21 | 上海与德科技有限公司 | A kind of method of payment, device, terminal and readable medium |
| CN109448186A (en) * | 2018-10-28 | 2019-03-08 | 浙江新弘网络科技有限公司 | A kind of visitor's system for prompting |
| CN109451530B (en) * | 2019-01-03 | 2022-04-22 | 中国联合网络通信集团有限公司 | Information collection method and information collection system |
| CN109977132B (en) * | 2019-02-01 | 2021-07-16 | 北京工业大学 | Student abnormal behavior pattern analysis method based on unsupervised clustering pattern |
| CN109922497A (en) * | 2019-02-28 | 2019-06-21 | 深圳市沃特沃德股份有限公司 | Monitoring method and device based on wireless signal |
| CN110097392B (en) * | 2019-03-20 | 2023-04-07 | 合肥名德光电科技股份有限公司 | Passenger flow guiding method based on cloud server |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101174972A (en) * | 2006-11-03 | 2008-05-07 | 盛趣信息技术（上海）有限公司 | System and method for analysis data collection and statistics |
| CN103124091A (en) * | 2011-11-18 | 2013-05-29 | 富士重工业株式会社 | Electric charging system and electric vehicle |
| CN103136288A (en) * | 2011-12-05 | 2013-06-05 | 上海博路信息技术有限公司 | Multi-dimensional information system of mobile terminal |
| WO2013097714A1 (en) * | 2011-12-29 | 2013-07-04 | 北京网秦天下科技有限公司 | Statistical analysis and prompting method and system for mobile terminal internet traffic |
-
2013
- 2013-08-27 CN CN201310379307.2A patent/CN103458456B/en not_active Expired - Fee Related
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101174972A (en) * | 2006-11-03 | 2008-05-07 | 盛趣信息技术（上海）有限公司 | System and method for analysis data collection and statistics |
| CN103124091A (en) * | 2011-11-18 | 2013-05-29 | 富士重工业株式会社 | Electric charging system and electric vehicle |
| CN103136288A (en) * | 2011-12-05 | 2013-06-05 | 上海博路信息技术有限公司 | Multi-dimensional information system of mobile terminal |
| WO2013097714A1 (en) * | 2011-12-29 | 2013-07-04 | 北京网秦天下科技有限公司 | Statistical analysis and prompting method and system for mobile terminal internet traffic |
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