CN108012309A - People flow rate statistical method, apparatus and system based on WiFi - Google Patents
People flow rate statistical method, apparatus and system based on WiFi Download PDFInfo
- Publication number
- CN108012309A CN108012309A CN201711217028.0A CN201711217028A CN108012309A CN 108012309 A CN108012309 A CN 108012309A CN 201711217028 A CN201711217028 A CN 201711217028A CN 108012309 A CN108012309 A CN 108012309A
- Authority
- CN
- China
- Prior art keywords
- wifi
- wifi equipment
- mobile terminal
- equipment
- server
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W48/00—Access restriction; Network selection; Access point selection
- H04W48/16—Discovering, processing access restriction or access information
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B17/00—Monitoring; Testing
- H04B17/30—Monitoring; Testing of propagation channels
- H04B17/309—Measuring or estimating channel quality parameters
- H04B17/318—Received signal strength
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/14—Network analysis or design
- H04L41/142—Network analysis or design using statistical or mathematical methods
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/02—Services making use of location information
- H04W4/021—Services related to particular areas, e.g. point of interest [POI] services, venue services or geofences
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L2101/00—Indexing scheme associated with group H04L61/00
- H04L2101/60—Types of network addresses
- H04L2101/618—Details of network addresses
- H04L2101/622—Layer-2 addresses, e.g. medium access control [MAC] addresses
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W84/00—Network topologies
- H04W84/02—Hierarchically pre-organised networks, e.g. paging networks, cellular networks, WLAN [Wireless Local Area Network] or WLL [Wireless Local Loop]
- H04W84/10—Small scale networks; Flat hierarchical networks
- H04W84/12—WLAN [Wireless Local Area Networks]
Landscapes
- Engineering & Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Physics & Mathematics (AREA)
- Electromagnetism (AREA)
- Quality & Reliability (AREA)
- Computer Security & Cryptography (AREA)
- Algebra (AREA)
- General Physics & Mathematics (AREA)
- Mathematical Analysis (AREA)
- Mathematical Optimization (AREA)
- Mathematical Physics (AREA)
- Probability & Statistics with Applications (AREA)
- Pure & Applied Mathematics (AREA)
- Mobile Radio Communication Systems (AREA)
Abstract
The invention discloses a kind of people flow rate statistical method, apparatus and system based on WiFi.People flow rate statistical method of the invention based on WiFi, including:Server receives the WiFi characteristic informations that multiple WiFi equipments are sent, and the WiFi characteristic informations of each WiFi equipment include the media intervention control layer MAC address and received signal strength indicator RSSI of the mobile terminal of access WiFi equipment;Server determines whether that the mobile terminal of same MAC Address accesses multiple WiFi equipments according to WiFi characteristic informations;When the mobile terminal for having same MAC Address accesses multiple WiFi equipments, server filters out the optimal WiFi equipment of the mobile terminal access of MAC Address according to RSSI from multiple WiFi equipments;Server obtains the flow of the people of each WiFi equipment overlay area according to the mobile terminal quantity that each WiFi equipment after screening accesses.The present invention realizes efficient, extensive and accurate people flow rate statistical.
Description
Technical field
The present embodiments relate to data analysis technique, more particularly to a kind of people flow rate statistical method based on WiFi, dress
Put and system.
Background technology
Economic rapid development, various service enrich the work and life of people in all fields.In coverage
People flow rate statistical, in business activity, security, traffic programme etc., embody more and more important effect.
At present some flow statistical methods dependent on radio frequency identification (Radio Frequency Identification,
Referred to as:RFID), infrared or image etc., but RFID can only identify and count the crowd for possessing mandate, it is infrared can only be physical
Identify the crowd of passing by that simultaneously counts in fence, flow of the people that can not be in indiscriminate statistics expected areas, and both need
Expensive equipment is configured, and image is then needed by complicated image recognition.It can be seen that existing people flow rate statistical method has one
A little limitations, it is impossible to realize efficient, extensive and accurate people flow rate statistical.
The content of the invention
The present invention provides a kind of people flow rate statistical method, apparatus and system based on WiFi, efficient, extensive and smart to realize
True people flow rate statistical.
In a first aspect, an embodiment of the present invention provides a kind of people flow rate statistical method based on WiFi, including:
Server receives the WiFi characteristic informations that multiple WiFi equipments are sent, the WiFi features of each WiFi equipment
Information includes accessing the media intervention control layer MAC address of the mobile terminal of the WiFi equipment and received signal strength indicator
RSSI;
The server determines whether that the mobile terminal access of same MAC Address is multiple according to the WiFi characteristic informations
WiFi equipment;
When have same MAC Address mobile terminal access multiple WiFi equipments when, the server according to the RSSI from
The optimal WiFi equipment of the mobile terminal access of the MAC Address is filtered out in the multiple WiFi equipment;
The server obtains each WiFi according to the mobile terminal quantity that each WiFi equipment after screening accesses
The flow of the people of equipment overlay area.
Optionally, the server filters out the MAC Address according to the RSSI from the multiple WiFi equipment
The optimal WiFi equipment of mobile terminal access, including:
When the quantity of the multiple WiFi equipment is less than or equal to 3, the server obtains the multiple WiFi equipment point
The RSSI not between the mobile terminal of the MAC Address, and the wherein corresponding WiFi equipment of maximum person is determined as
The optimal WiFi equipment;
When the quantity of the multiple WiFi equipment is more than 6, the server is according to the position of the multiple WiFi equipment
Estimate to obtain the position of the mobile terminal by subtriangular interior method of testing APIT, and will be nearest apart from the position
WiFi equipment is determined as the optimal WiFi equipment;
When the quantity of the multiple WiFi equipment is more than 3 and is less than or equal to 6, the server obtains the multiple WiFi
The equipment RSSI between the mobile terminal of the MAC Address respectively, and will the wherein corresponding WiFi equipment of maximum person
Be determined as the first WiFi equipment, further according to the multiple WiFi equipment position by the APIT estimate to obtain it is described it is mobile eventually
The position at end, and the WiFi equipment nearest apart from the position is determined as the second WiFi equipment, finally by the first WiFi
Most the superior is determined as the optimal WiFi equipment in equipment and second WiFi equipment.
Optionally, obtained respectively according to the mobile terminal quantity that each WiFi equipment after screening accesses in the server
After the flow of the people of the WiFi equipment overlay area, further include:
The change for the mobile terminal quantity that the server is accessed according to each WiFi equipment in specified time section determines
The changing rule of the flow of the people of each WiFi equipment overlay area.
Optionally, obtained respectively according to the mobile terminal quantity that each WiFi equipment after screening accesses in the server
After the flow of the people of the WiFi equipment overlay area, further include:
The flow of the people is issued out by the server by web service.
Second aspect, the embodiment of the present invention additionally provide a kind of people flow rate statistical method based on WiFi, including:
WiFi equipment gathers the WiFi characteristic informations for moving about terminal, and the WiFi characteristic informations include described mobile whole
The media intervention control layer MAC address and received signal strength indicator RSSI at end;
The WiFi equipment filters the WiFi characteristic informations of the mobile terminal, and the mobile end that will be successfully accessed
The MAC Address and the RSSI at end are sent to server.
The third aspect, the embodiment of the present invention additionally provide a kind of server, including:
Receiving module, the WiFi characteristic informations sent for receiving multiple WiFi equipments, each WiFi equipment it is described
The media intervention control layer MAC address and reception signal of mobile terminal of the WiFi characteristic informations including accessing the WiFi equipment are strong
Degree instruction RSSI;
Determining module, the mobile terminal for determining whether same MAC Address according to the WiFi characteristic informations access
Multiple WiFi equipments;
Screening module, for when have same MAC Address mobile terminal access multiple WiFi equipments when, according to the RSSI
The optimal WiFi equipment of the mobile terminal access of the MAC Address is filtered out from the multiple WiFi equipment;
Statistical module, the mobile terminal quantity for being accessed according to each WiFi equipment after screening obtain it is each described in
The flow of the people of WiFi equipment overlay area.
Optionally, the screening module, specifically for when the quantity of the multiple WiFi equipment is less than or equal to 3, obtaining
The multiple WiFi equipment RSSI between the mobile terminal of the MAC Address respectively, and will wherein maximum person couple
The WiFi equipment answered is determined as the optimal WiFi equipment;When the quantity of the multiple WiFi equipment is more than 6, according to described more
The position of the mobile terminal is estimated to obtain in the position of a WiFi equipment by subtriangular interior method of testing APIT, and will be away from
The WiFi equipment nearest from the position is determined as the optimal WiFi equipment;When the quantity of the multiple WiFi equipment is more than 3
And during less than or equal to 6, the RSSI of the multiple WiFi equipment respectively between the mobile terminal of the MAC Address is obtained,
And the wherein corresponding WiFi equipment of maximum person is determined as the first WiFi equipment, further according to the position of the multiple WiFi equipment
Estimate to obtain the position of the mobile terminal by the APIT, and the WiFi equipment nearest apart from the position is determined as
Two WiFi equipments, are finally determined as the optimal WiFi by most the superior in first WiFi equipment and second WiFi equipment
Equipment.
Optionally, the statistical module, was additionally operable to according to the mobile end that each WiFi equipment accesses in specified time section
Hold the changing rule of the flow of the people of the definite each WiFi equipment overlay area of change of quantity.
Optionally, further include:
Release module, for issuing out the flow of the people by web service.
Fourth aspect, the embodiment of the present invention additionally provide a kind of WiFi equipment, including:
Acquisition module, the WiFi characteristic informations of terminal are moved about for gathering, and the WiFi characteristic informations include described
The media intervention control layer MAC address and received signal strength indicator RSSI of mobile terminal;
Sending module, for being filtered to the WiFi characteristic informations of the mobile terminal, and the movement that will be successfully accessed
The MAC Address and the RSSI of terminal are sent to server.
5th aspect, the embodiment of the present invention additionally provide a kind of computer equipment, including memory, processor and are stored in
On memory and the computer program that can run on a processor, the processor realize such as above-mentioned first when performing described program
The people flow rate statistical method based on WiFi described in aspect.
6th aspect, the embodiment of the present invention additionally provide a kind of equipment, including memory, processor and are stored in memory
Computer program that is upper and can running on a processor, the processor are realized such as above-mentioned second aspect institute when performing described program
The people flow rate statistical method based on WiFi stated.
7th aspect, the embodiment of the present invention additionally provides a kind of storage medium for including computer executable instructions, described
Computer executable instructions, for performing a kind of people flow rate statistical method based on WiFi, are somebody's turn to do when being performed by computer processor
Method includes:
Receive the WiFi characteristic informations that multiple WiFi equipments are sent, the WiFi characteristic informations bag of each WiFi equipment
Include the media intervention control layer MAC address and received signal strength indicator RSSI for the mobile terminal for accessing the WiFi equipment;
The mobile terminal for determining whether same MAC Address according to the WiFi characteristic informations accesses multiple WiFi equipments;
When the mobile terminal for having same MAC Address accesses multiple WiFi equipments, according to the RSSI from the multiple
The optimal WiFi equipment of the mobile terminal access of the MAC Address is filtered out in WiFi equipment;
Each WiFi equipment area of coverage is obtained according to the mobile terminal quantity that each WiFi equipment after screening accesses
The flow of the people in domain.
Eighth aspect, the embodiment of the present invention additionally provide a kind of people flow rate statistical system based on WiFi, including:Service
Device, WiFi equipment and mobile terminal, wherein, the server is set using the server described in the above-mentioned third aspect, the WiFi
The standby equipment using described in above-mentioned fourth aspect.
The WiFi characteristic informations for the mobile terminal that the present invention is accessed by the WiFi equipment from deployment throughout, then root
The quantity of the mobile terminal of each WiFi equipment access is counted according to WiFi characteristic informations, and then obtains each WiFi equipment overlay area
Flow of the people, realizes efficient, extensive and accurate people flow rate statistical, and WiFi equipment and mobile terminal are that people generally use
Equipment, it is not necessary to which the equipment in addition configuring costliness, reaches the effect for reducing cost.
Brief description of the drawings
Fig. 1 is the structure diagram of the people flow rate statistical system provided in an embodiment of the present invention based on WiFi;
Fig. 2 is the flow chart of the people flow rate statistical method provided in an embodiment of the present invention based on WiFi;
Fig. 3 is the flow chart of the people flow rate statistical method provided in an embodiment of the present invention based on WiFi;
Fig. 4 is the structure diagram of server provided in an embodiment of the present invention;
Fig. 5 is the structure diagram of server provided in an embodiment of the present invention;
Fig. 6 is the structure diagram of WiFi equipment provided in an embodiment of the present invention;
Fig. 7 is a kind of structure diagram of server provided in an embodiment of the present invention.
Embodiment
The present invention is described in further detail with reference to the accompanying drawings and examples.It is understood that this place is retouched
The specific embodiment stated is used only for explaining the present invention, rather than limitation of the invention.It also should be noted that in order to just
It illustrate only part related to the present invention rather than entire infrastructure in description, attached drawing.
Fig. 1 is the structure diagram of the people flow rate statistical system provided in an embodiment of the present invention based on WiFi, with reference to Fig. 1,
The system includes server, WiFi equipment and mobile terminal, wherein, server can be digital map navigation, traffic prewarning, advertisement throwing
The server of related application such as put, this kind of application program, which usually requires to become according to the flow of the people and flow of the people in certain region, to be turned into
Go out route planning, traffic dispersion, select to advertisement putting;WiFi equipment can be WiFi routers, WiFi interchangers etc.;Move
Dynamic terminal can be the handheld terminal of user, including smart mobile phone, tablet computer etc..In the present embodiment, the communication based on WiFi
Principle, mobile terminal can access the WiFi equipment in limited distance, and the coverage of WiFi equipment is knowable, therefore take
The location of mobile terminal quantity and WiFi equipment that business device can be accessed according to WiFi equipment obtain flow of the people data.
Fig. 2 is the flow chart of the people flow rate statistical method provided in an embodiment of the present invention based on WiFi, and this method can be by
Above-mentioned server performs.This method specifically comprises the following steps:
Step 101, server receive the WiFi characteristic informations that multiple WiFi equipments are sent, the WiFi features of each WiFi equipment
Information includes the MAC Address and RSSI of the mobile terminal of access WiFi equipment;
Mobile terminal possesses unique media intervention key-course (Media Access Control, an abbreviation:MAC)
Location, mobile terminal usually carry the MAC Address when being interacted with other equipment as identification information in the message.WiFi equipment
After the message for receiving mobile terminal, received signal strength indicator can be obtained according to the signal strength for receiving the message
(Received Signal Strength Indication, referred to as:RSSI), the distance between mobile terminal and WiFi equipment
Nearer, the RSSI value is bigger, on the contrary then the RSSI value is smaller.
Step 102, server determine whether that the mobile terminal access of same MAC Address is multiple according to WiFi characteristic informations
WiFi equipment;
With the movement of user, in the coverage that mobile terminal may not be only in a WiFi equipment, moving
During dynamic mobile terminal may the distance between basis and each WiFi equipment and switch the WiFi equipment of its access, therefore
Occur that more than one WiFi equipment reports same movement in the WiFi characteristic informations of the received multiple WiFi equipments of server
The MAC Address of terminal, i.e., the mobile terminal of same MAC Address access multiple WiFi equipments.
Step 103, when have same MAC Address mobile terminal access multiple WiFi equipments when, server according to RSSI from
The optimal WiFi equipment of the mobile terminal access of MAC Address is filtered out in multiple WiFi equipments;
The situation of multiple WiFi equipments is accessed in the event of the mobile terminal of same MAC Address, server can basis
RSSI screens this multiple WiFi equipment, determines the optimal WiFi equipment of the mobile terminal access of the MAC Address.Clothes
Business device is that the quantity of mobile terminal accessed according to each WiFi equipment obtains flow of the people, if a mobile terminal corresponded to it is more
A WiFi equipment, then server can be respectively same mobile terminal when calculating the mobile terminal quantity of these WiFi equipments
All count, cause to contain redundant data in final statistical result, obtained flow of the people result is also inaccurate.This implementation
In example, server in order to evade the above situation, sieved by the multiple WiFi equipments accessed to the mobile terminal of same MAC Address
Choosing, a final mobile terminal only retain a corresponding WiFi equipment, and the WiFi equipment remained can be anti-by RSSI
The signal strength mirrored is highest.
Step 104, server obtain each WiFi equipment according to the mobile terminal quantity that each WiFi equipment after screening accesses
The flow of the people of overlay area.
By above-mentioned screening step, server can obtain its coverage in certain period centered on WiFi equipment
The quantity of interior mobile terminal, so that the flow of the people in the range of this is obtained, wherein, the location of WiFi equipment is carrying out hot spot
It can be got during planning, the coverage of WiFi equipment can be known according to the ability of WiFi equipment itself, so service
The mobile equipment that device can depend on people generally to carry carries out the statistics of flow of the people.
The technical solution of the present embodiment, the WiFi of the mobile terminal accessed by the WiFi equipment from deployment throughout
Characteristic information, the quantity of the mobile terminal of each WiFi equipment access is counted further according to WiFi characteristic informations, and then obtains each WiFi
The flow of the people of equipment overlay area, realizes efficient, extensive and accurate people flow rate statistical, and WiFi equipment and mobile terminal are
The equipment that people generally use, it is not necessary to which the equipment in addition configuring costliness, reaches the effect for reducing cost.
Based on the above technical solutions, step 103 can preferably work as the quantity of multiple WiFi equipments less than or equal to 3
When, server obtains the multiple WiFi equipments RSSI between the mobile terminal of MAC Address respectively, and will wherein maximum person couple
The WiFi equipment answered is determined as optimal WiFi equipment;When the quantity of multiple WiFi equipments is more than 6, server is according to multiple WiFi
The position of equipment passes through subtriangular interior method of testing (Approximate Point In Triangulation test, letter
Claim:APIT) estimation obtains the position of mobile terminal, and the WiFi equipment nearest apart from the position is determined as optimal WiFi and is set
It is standby;When the quantity of multiple WiFi equipments is more than 3 and during less than or equal to 6, server obtain multiple WiFi equipments respectively with MAC Address
Mobile terminal between RSSI, and the wherein corresponding WiFi equipment of maximum person is determined as the first WiFi equipment, further according to
The position of mobile terminal is estimated to obtain in the position of multiple WiFi equipments by APIT, and by the WiFi equipment nearest apart from the position
It is determined as the second WiFi equipment, most the superior in the first WiFi equipment and the second WiFi equipment finally is determined as optimal WiFi sets
It is standby.
In the present embodiment, when the quantity for the WiFi equipment that the mobile terminal of same MAC Address accesses is less than or equal to 3, by
RSSI value between mobile terminal and multiple WiFi equipments may be due to reasons such as distance, signal interferences, these
The RSSI value that WiFi equipment obtains also be not necessarily it is equal, at this time server can will wherein RSSI maximum persons it is corresponding
WiFi equipment is determined as optimal WiFi equipment;When the quantity for the WiFi equipment that the mobile terminal of same MAC Address accesses is more than 6
When, server uses APIT, and three vertex using every three WiFi equipments as a triangle, can so draw multiple three
Angular, these triangles have overlapping region, and in the overlapping region, inside-paint inner circle obtains the center of circle of the inner circle, and center of circle institute is in place
Put and may be considered the mobile terminal volume position that estimation obtains, server calculates the center of circle according to the position of each WiFi equipment and arrives respectively
The distance of these WiFi equipments, is determined as optimal WiFi equipment by wherein closest WiFi equipment;When same MAC Address
When the quantity of the WiFi equipment of mobile terminal access is more than 3 and is less than or equal to 6, server can combine in above-mentioned two situations
Method, first according to multiple WiFi equipments respectively the RSSI between mobile terminal will the wherein corresponding WiFi equipment of maximum person it is true
It is set to the first WiFi equipment, then the second WiFi equipment is obtained by above-mentioned APIT methods, finally in the first WiFi equipment and second
Most the superior is chosen in WiFi equipment, the selection rule of server here usually in APIT methods as prioritizing selection object, due to
There is very big uncertainty in RSSI, exist by the distance between the RSSI WiFi equipments that can be calculated and mobile terminal
Error, therefore the distance for being obtained by RSSI methods is multiplied by 0.4, is multiplied by for the distance value obtained by APIT methods
0.6, the two result of calculation is compared, and wherein minimum value person is optimal WiFi equipment, above-mentioned 0.4 and 0.6 the two weights,
It can be modified with reference to specific application environment test case, the present embodiment is not specifically limited this.If in addition, the two
Result of calculation is identical, and server can also be moved according to the WiFi characteristic informations that WiFi equipment in longer period of time is sent
The motion track of terminal, for example, during this period of time, server successively at WiFi equipment 1,2,3,4 with have received same MAC
Location, then the position disposed according to WiFi equipment 1,2,3,4, you can know the mobile route of the mobile terminal of the MAC Address, base
The route of the mobile terminal can be predicted in this server so as to be selected from the first WiFi equipment and the second WiFi equipment
Take an optimal WiFi equipment of conduct.If server can not obtain the motion track of mobile terminal from WiFi characteristic informations,
The WiFi equipment obtained by APIT methods is then determined as optimal WiFi equipment.
Based on the above technical solutions, the mobile terminal that server is accessed according to each WiFi equipment in specified time section
The change of quantity determines the changing rule of the flow of the people of each WiFi equipment overlay area.As described above, server can be according to finger
Received WiFi characteristic informations in section of fixing time, know which WiFi equipment reported same MAC Address, and according to reporting
Sequencing, obtains the motion track and translational speed of the mobile terminal of the MAC Address, and then can be with according to the motion track
Predict its route, the changing rule of the flow of the people of each WiFi equipment overlay area can be obtained based on these data servers.
Based on the above technical solutions, flow of the people is issued out by server by web service.Server will unite
Count obtained flow of the people and flow of the people changing rule issued out, can aid in peak dredge with pedestrian's path planning, can be with
Provide the commercial uses such as advertisement putting, shop planning.
Fig. 3 is the flow chart of the people flow rate statistical method provided in an embodiment of the present invention based on WiFi, and this method can be by
Above-mentioned WiFi equipment performs.This method specifically comprises the following steps:
Step 201, WiFi equipment collection move about the WiFi characteristic informations of terminal, which includes movement
The MAC Address and RSSI of terminal;
Mobile terminal, which reaches WiFi equipment, can nearby attempt access WiFi equipment, this is just needed with WiFi equipment into row information
Interaction, WiFi equipment can receive the access information from mobile terminal at this time, but many information are for the side of the present invention
Method is redundant data, therefore WiFi equipment needs to be filtered.
Step 202, WiFi equipment filter the WiFi characteristic informations of mobile terminal, and the mobile end that will be successfully accessed
The MAC Address and RSSI at end are sent to server.
WiFi equipment filters out the MAC Address section of pseudo- MAC Address, broadcast, multicast from the information of reception, final only to retain
The MAC Address and RSSI for the mobile terminal being successfully accessed, and be wrapped into being sent to server.
The technical solution of the present embodiment, is filtered by the information of the mobile terminal to reception, reduces the number of transmission
According to amount, efficiency is improved.
Fig. 4 is the structure diagram of server provided in an embodiment of the present invention, and with reference to Fig. 4, which includes:Receive mould
Block 11, determining module 12, screening module 13 and statistical module 14, wherein, receiving module 11, for receiving multiple WiFi equipment hairs
The WiFi characteristic informations sent, the WiFi characteristic informations of each WiFi equipment include accessing the mobile end of the WiFi equipment
The media intervention control layer MAC address and received signal strength indicator RSSI at end;Determining module 12, for special according to the WiFi
Reference breath determines whether that the mobile terminal of same MAC Address accesses multiple WiFi equipments;Screening module 13, for same when having
When the mobile terminal of MAC Address accesses multiple WiFi equipments, institute is filtered out from the multiple WiFi equipment according to the RSSI
State the optimal WiFi equipment of the mobile terminal access of MAC Address;Statistical module 14, for being set according to each WiFi after screening
The mobile terminal quantity of standby access obtains the flow of the people of each WiFi equipment overlay area.
Based on the above technical solutions, the screening module 13, specifically for when the number of the multiple WiFi equipment
When amount is less than or equal to 3, the RSSI of the multiple WiFi equipment respectively between the mobile terminal of the MAC Address is obtained,
And wherein the corresponding WiFi equipment of maximum person it will be determined as the optimal WiFi equipment;When the quantity of the multiple WiFi equipment
During more than 6, estimate to obtain the shifting by subtriangular interior method of testing APIT according to the position of the multiple WiFi equipment
The position of dynamic terminal, and the WiFi equipment nearest apart from the position is determined as the optimal WiFi equipment;When the multiple
When the quantity of WiFi equipment is more than 3 and is less than or equal to 6, movement of the multiple WiFi equipment respectively with the MAC Address is obtained
The RSSI between terminal, and the wherein corresponding WiFi equipment of maximum person is determined as the first WiFi equipment, further according to institute
The position for stating multiple WiFi equipments is estimated to obtain the position of the mobile terminal by the APIT, and will be apart from the position most
Near WiFi equipment is determined as the second WiFi equipment, finally will be optimal in first WiFi equipment and second WiFi equipment
Person is determined as the optimal WiFi equipment.
Based on the above technical solutions, the statistical module 14, is additionally operable to according to each in specified time section
The change of the mobile terminal quantity of WiFi equipment access determines the changing rule of the flow of the people of each WiFi equipment overlay area.
Fig. 5 is the structure diagram of server provided in an embodiment of the present invention, with reference to Fig. 5, on the basis of Fig. 4, the service
Device further includes:Release module 15, for issuing out the flow of the people by web service.
Fig. 6 is the structure diagram of WiFi equipment provided in an embodiment of the present invention, and with reference to Fig. 6, which includes:Gather mould
Block 21 and sending module 22, wherein, acquisition module 21, moves about the WiFi characteristic informations of terminal, the WiFi for gathering
Characteristic information includes the media intervention control layer MAC address and received signal strength indicator RSSI of the mobile terminal;Send mould
Block 22, for being filtered to the WiFi characteristic informations of the mobile terminal, and by the MAC for the mobile terminal being successfully accessed
Address and the RSSI are sent to server.
The embodiment of the present invention provides device and can perform the flow of the people based on WiFi that any embodiment of the present invention is provided
Statistical method, possesses the corresponding function module of execution method and beneficial effect.
Fig. 7 is a kind of structure diagram of server provided in an embodiment of the present invention, as shown in fig. 7, the server includes
Processor 30, memory 31, input unit 32 and output device 33;The quantity of processor 30 can be one or more in server
It is a, in Fig. 7 by taking a processor 30 as an example;Processor 30, memory 31, input unit 32 and output device 33 in server
It can be connected by bus or other modes, in Fig. 7 exemplified by being connected by bus.
Memory 31 is used as a kind of computer-readable recording medium, and journey is can perform available for storage software program, computer
Sequence and module, such as the corresponding programmed instruction/module of the people flow rate statistical method based on WiFi in the embodiment of the present invention.Processing
Device 30 is stored in software program, instruction and module in memory 31 by operation, so that the various functions of execute server
Using and data processing, that is, realize the above-mentioned people flow rate statistical method based on WiFi.
Memory 31 can mainly include storing program area and storage data field, wherein, storing program area can store operation system
Application program needed for system, at least one function;Storage data field can be stored uses created data etc. according to terminal.This
Outside, memory 31 can include high-speed random access memory, can also include nonvolatile memory, for example, at least a magnetic
Disk storage device, flush memory device or other non-volatile solid state memory parts.In some instances, memory 31 can be further
Including network connection to server can be passed through relative to the remotely located memory of processor 30, these remote memories.On
The example for stating network includes but not limited to internet, intranet, LAN, mobile radio communication and combinations thereof.
Input unit 32 can be used for the numeral or character information for receiving input, and produce with the user setting of server with
And the key signals input that function control is related.Output device 33 may include the display devices such as display screen.
In addition, the structure shown in Fig. 7 can also be as a kind of structure of equipment, which can be above-mentioned WiFi equipment.
The embodiment of the present invention also provides a kind of storage medium for including computer executable instructions, and the computer can perform
When being performed by computer processor for performing a kind of people flow rate statistical method based on WiFi, this method includes for instruction:
Server receives the WiFi characteristic informations that multiple WiFi equipments are sent, the WiFi features of each WiFi equipment
Information includes accessing the media intervention control layer MAC address of the mobile terminal of the WiFi equipment and received signal strength indicator
RSSI;
The server determines whether that the mobile terminal access of same MAC Address is multiple according to the WiFi characteristic informations
WiFi equipment;
When have same MAC Address mobile terminal access multiple WiFi equipments when, the server according to the RSSI from
The optimal WiFi equipment of the mobile terminal access of the MAC Address is filtered out in the multiple WiFi equipment;
The server obtains each WiFi according to the mobile terminal quantity that each WiFi equipment after screening accesses
The flow of the people of equipment overlay area.
The embodiment of the present invention also provides a kind of storage medium for including computer executable instructions, and the computer can perform
When being performed by computer processor for performing a kind of people flow rate statistical method based on WiFi, this method includes for instruction:
WiFi equipment gathers the WiFi characteristic informations for moving about terminal, and the WiFi characteristic informations include described mobile whole
The media intervention control layer MAC address and received signal strength indicator RSSI at end;
The WiFi equipment filters the WiFi characteristic informations of the mobile terminal, and the mobile end that will be successfully accessed
The MAC Address and the RSSI at end are sent to server.
Certainly, a kind of storage medium for including computer executable instructions that the embodiment of the present invention is provided, its computer
The operation of method that executable instruction is not limited to the described above, can also carry out that any embodiment of the present invention provided based on WiFi
People flow rate statistical method in relevant operation
By the description above with respect to embodiment, it is apparent to those skilled in the art that, the present invention
It can be realized by software and required common hardware, naturally it is also possible to which by hardware realization, but the former is more in many cases
Good embodiment.Based on such understanding, what technical scheme substantially in other words contributed the prior art
Part can be embodied in the form of software product, which can be stored in computer-readable recording medium
In, floppy disk, read-only storage (Read-Only Memory, ROM), random access memory (Random such as computer
Access Memory, RAM), flash memory (FLASH), hard disk or CD etc., including some instructions are with so that a computer is set
Standby (can be personal computer, server, or network equipment etc.) performs the method described in each embodiment of the present invention.
It is worth noting that, in the embodiment of above-mentioned searcher, included unit and module are simply according to work(
Energy logic is divided, but is not limited to above-mentioned division, as long as corresponding function can be realized;In addition, each work(
The specific name of energy unit is also only to facilitate mutually distinguish, the protection domain being not intended to limit the invention.
Note that it above are only presently preferred embodiments of the present invention and institute's application technology principle.It will be appreciated by those skilled in the art that
The invention is not restricted to specific embodiment described here, can carry out for a person skilled in the art various obvious changes,
Readjust and substitute without departing from protection scope of the present invention.Therefore, although being carried out by above example to the present invention
It is described in further detail, but the present invention is not limited only to above example, without departing from the inventive concept, also
It can include other more equivalent embodiments, and the scope of the present invention is determined by scope of the appended claims.
Claims (11)
- A kind of 1. people flow rate statistical method based on WiFi, it is characterised in that including:Server receives the WiFi characteristic informations that multiple WiFi equipments are sent, the WiFi characteristic informations of each WiFi equipment Media intervention control layer MAC address and received signal strength indicator RSSI including the mobile terminal for accessing the WiFi equipment;The server determines whether that the mobile terminal of same MAC Address accesses multiple WiFi according to the WiFi characteristic informations Equipment;When the mobile terminal for having same MAC Address accesses multiple WiFi equipments, the server is according to the RSSI from described The optimal WiFi equipment of the mobile terminal access of the MAC Address is filtered out in multiple WiFi equipments;The server obtains each WiFi equipment according to the mobile terminal quantity that each WiFi equipment after screening accesses The flow of the people of overlay area.
- 2. according to the method described in claim 1, it is characterized in that, the server according to the RSSI from the multiple WiFi The optimal WiFi equipment of the mobile terminal access of the MAC Address is filtered out in equipment, including:When the quantity of the multiple WiFi equipment is less than or equal to 3, the server obtain the multiple WiFi equipment respectively with The RSSI between the mobile terminal of the MAC Address, and will wherein the corresponding WiFi equipment of maximum person be determined as it is described Optimal WiFi equipment;When the quantity of the multiple WiFi equipment is more than 6, the server passes through according to the position of the multiple WiFi equipment Subtriangular interior method of testing APIT estimates to obtain the position of the mobile terminal, and by the WiFi nearest apart from the position Equipment is determined as the optimal WiFi equipment;When the quantity of the multiple WiFi equipment is more than 3 and is less than or equal to 6, the server obtains the multiple WiFi equipment The RSSI between the mobile terminal of the MAC Address respectively, and the wherein corresponding WiFi equipment of maximum person is determined For the first WiFi equipment, estimate by the APIT to obtain the mobile terminal further according to the position of the multiple WiFi equipment Position, and the WiFi equipment nearest apart from the position is determined as the second WiFi equipment, finally by first WiFi equipment It is determined as the optimal WiFi equipment with most the superior in second WiFi equipment.
- 3. method according to claim 1 or 2, it is characterised in that in the server according to each after screening After the mobile terminal quantity of WiFi equipment access obtains the flow of the people of each WiFi equipment overlay area, further include:The change for the mobile terminal quantity that the server is accessed according to each WiFi equipment in specified time section determines each institute State the changing rule of the flow of the people of WiFi equipment overlay area.
- 4. according to the method described in claim 1, it is characterized in that, set in the server according to each WiFi after screening After the mobile terminal quantity of standby access obtains the flow of the people of each WiFi equipment overlay area, further include:The flow of the people is issued out by the server by web service.
- A kind of 5. server, it is characterised in that including:Receiving module, the WiFi characteristic informations sent for receiving multiple WiFi equipments, the WiFi of each WiFi equipment Characteristic information includes the media intervention control layer MAC address for accessing the mobile terminal of the WiFi equipment and received signal strength refers to Show RSSI;Determining module, the mobile terminal for determining whether same MAC Address according to the WiFi characteristic informations access multiple WiFi equipment;Screening module, for when the mobile terminal for having same MAC Address accesses multiple WiFi equipments, according to the RSSI from institute State the optimal WiFi equipment for the mobile terminal access that the MAC Address is filtered out in multiple WiFi equipments;Statistical module, the mobile terminal quantity for being accessed according to each WiFi equipment after screening obtain each WiFi and set The flow of the people of standby overlay area.
- 6. server according to claim 5, it is characterised in that the screening module, specifically for when the multiple When the quantity of WiFi equipment is less than or equal to 3, the multiple WiFi equipment is obtained respectively between the mobile terminal of the MAC Address The RSSI, and wherein the corresponding WiFi equipment of maximum person will be determined as the optimal WiFi equipment;When the multiple When the quantity of WiFi equipment is more than 6, subtriangular interior method of testing APIT is passed through according to the position of the multiple WiFi equipment Estimation obtains the position of the mobile terminal, and the WiFi equipment nearest apart from the position is determined as the optimal WiFi and is set It is standby;When the multiple WiFi equipment quantity be more than 3 and less than or equal to 6 when, obtain the multiple WiFi equipment respectively with it is described The RSSI between the mobile terminal of MAC Address, and the wherein corresponding WiFi equipment of maximum person is determined as the first WiFi Equipment, estimates to obtain the position of the mobile terminal further according to the position of the multiple WiFi equipment by the APIT, and will The WiFi equipment nearest apart from the position is determined as the second WiFi equipment, finally by first WiFi equipment and described second Most the superior is determined as the optimal WiFi equipment in WiFi equipment.
- 7. the server according to claim 5 or 6, it is characterised in that the statistical module, was additionally operable to according to specified time The change of the mobile terminal quantity of each WiFi equipment access determines the flow of the people of each WiFi equipment overlay area in section Changing rule.
- 8. server according to claim 5, it is characterised in that further include:Release module, for issuing out the flow of the people by web service.
- 9. a kind of computer equipment, including memory, processor and storage are on a memory and the meter that can run on a processor Calculation machine program, it is characterised in that the processor realized when performing described program as described in any in claim 1-4 based on The people flow rate statistical method of WiFi.
- 10. a kind of storage medium for including computer executable instructions, the computer executable instructions are by computer disposal For performing a kind of people flow rate statistical method based on WiFi when device performs, it is characterised in that this method includes:The WiFi characteristic informations that multiple WiFi equipments are sent are received, the WiFi characteristic informations of each WiFi equipment include connecing Enter the media intervention control layer MAC address and received signal strength indicator RSSI of the mobile terminal of the WiFi equipment;The mobile terminal for determining whether same MAC Address according to the WiFi characteristic informations accesses multiple WiFi equipments;When the mobile terminal for having same MAC Address accesses multiple WiFi equipments, set according to the RSSI from the multiple WiFi The optimal WiFi equipment of the mobile terminal access of the MAC Address is filtered out in standby;Each WiFi equipment overlay area is obtained according to the mobile terminal quantity that each WiFi equipment after screening accesses Flow of the people.
- A kind of 11. people flow rate statistical system based on WiFi, it is characterised in that including:Server, WiFi equipment and movement are eventually End, wherein, the server is using the server any one of claim 5-8.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201711217028.0A CN108012309A (en) | 2017-11-28 | 2017-11-28 | People flow rate statistical method, apparatus and system based on WiFi |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201711217028.0A CN108012309A (en) | 2017-11-28 | 2017-11-28 | People flow rate statistical method, apparatus and system based on WiFi |
Publications (1)
Publication Number | Publication Date |
---|---|
CN108012309A true CN108012309A (en) | 2018-05-08 |
Family
ID=62054251
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201711217028.0A Pending CN108012309A (en) | 2017-11-28 | 2017-11-28 | People flow rate statistical method, apparatus and system based on WiFi |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN108012309A (en) |
Cited By (15)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109041099A (en) * | 2018-06-28 | 2018-12-18 | 新华三大数据技术有限公司 | Flow of the people prediction technique, device and terminal |
CN109246685A (en) * | 2018-11-29 | 2019-01-18 | 锐捷网络股份有限公司 | Passenger flow volume statistical method, equipment and storage medium based on MAC Address |
CN109379703A (en) * | 2018-12-18 | 2019-02-22 | 浙江每日互动网络科技股份有限公司 | A kind of disaster region decision method based on mobile terminal networking data |
CN109600758A (en) * | 2018-11-15 | 2019-04-09 | 南昌航空大学 | A kind of stream of people's quantity monitoring method based on RSS |
CN109672587A (en) * | 2018-12-14 | 2019-04-23 | 北京酷云互动科技有限公司 | The recognition methods of common terminal, identifying system, server, computer-readable medium |
CN109935082A (en) * | 2019-04-30 | 2019-06-25 | 长安大学 | A method of its acquisition data of Transportation Data Collection Terminal and use based on WiFi |
CN109951804A (en) * | 2019-02-26 | 2019-06-28 | 北京空中信使信息技术有限公司 | A kind of stream of people's amount estimation method and device |
CN110446157A (en) * | 2019-08-02 | 2019-11-12 | 北京莱利时空科技有限公司 | A kind of method and device determining target information based on WIFI probe |
CN110545558A (en) * | 2019-09-06 | 2019-12-06 | 山东省交通规划设计院 | High-speed service area crowd density estimation system based on Wi-Fi data |
CN111006372A (en) * | 2019-12-09 | 2020-04-14 | 武汉理工大学 | Central air conditioner management method and system based on wireless local area network positioning |
CN111372286A (en) * | 2020-03-03 | 2020-07-03 | 浙江每日互动网络科技股份有限公司 | Mobile terminal data processing method, medium and electronic device |
WO2021022793A1 (en) * | 2019-08-02 | 2021-02-11 | 创新先进技术有限公司 | Method and device for visitor traffic statistics |
CN112911000A (en) * | 2021-02-01 | 2021-06-04 | 南京信息工程大学 | Regional college pedestrian flow monitoring system and method based on WIFI probe |
CN114158031A (en) * | 2021-12-02 | 2022-03-08 | 深圳市共进电子股份有限公司 | Method and device for counting terminals, router and storage medium |
CN114785943A (en) * | 2022-03-31 | 2022-07-22 | 联想(北京)有限公司 | Data determination method, equipment and computer readable storage medium |
Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104217592A (en) * | 2014-09-24 | 2014-12-17 | 福建星网锐捷网络有限公司 | People flow volume statistical method, apparatus and system |
CN105187240A (en) * | 2015-08-19 | 2015-12-23 | 广东中兴新支点技术有限公司 | Pedestrian volume detection method and device thereof, |
US20160028828A1 (en) * | 2014-07-25 | 2016-01-28 | Oort Europe S.A. | Hub and cloud based control and automation |
CN106210144A (en) * | 2016-08-22 | 2016-12-07 | 北京易游华成科技有限公司 | People flow rate statistical method and apparatus |
CN107152769A (en) * | 2017-07-21 | 2017-09-12 | 长沙稻冰工程技术有限公司 | Central air-conditioner control method, central air-conditioning and computer-readable recording medium |
CN107172591A (en) * | 2017-07-21 | 2017-09-15 | 长沙稻冰工程技术有限公司 | Flow rate testing methods, device and computer-readable recording medium |
-
2017
- 2017-11-28 CN CN201711217028.0A patent/CN108012309A/en active Pending
Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20160028828A1 (en) * | 2014-07-25 | 2016-01-28 | Oort Europe S.A. | Hub and cloud based control and automation |
CN104217592A (en) * | 2014-09-24 | 2014-12-17 | 福建星网锐捷网络有限公司 | People flow volume statistical method, apparatus and system |
CN105187240A (en) * | 2015-08-19 | 2015-12-23 | 广东中兴新支点技术有限公司 | Pedestrian volume detection method and device thereof, |
CN106210144A (en) * | 2016-08-22 | 2016-12-07 | 北京易游华成科技有限公司 | People flow rate statistical method and apparatus |
CN107152769A (en) * | 2017-07-21 | 2017-09-12 | 长沙稻冰工程技术有限公司 | Central air-conditioner control method, central air-conditioning and computer-readable recording medium |
CN107172591A (en) * | 2017-07-21 | 2017-09-15 | 长沙稻冰工程技术有限公司 | Flow rate testing methods, device and computer-readable recording medium |
Cited By (23)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109041099A (en) * | 2018-06-28 | 2018-12-18 | 新华三大数据技术有限公司 | Flow of the people prediction technique, device and terminal |
CN109041099B (en) * | 2018-06-28 | 2022-02-11 | 新华三大数据技术有限公司 | People flow prediction method and device and terminal |
CN109600758A (en) * | 2018-11-15 | 2019-04-09 | 南昌航空大学 | A kind of stream of people's quantity monitoring method based on RSS |
CN109600758B (en) * | 2018-11-15 | 2022-03-29 | 南昌航空大学 | RSS-based people flow monitoring method |
CN109246685A (en) * | 2018-11-29 | 2019-01-18 | 锐捷网络股份有限公司 | Passenger flow volume statistical method, equipment and storage medium based on MAC Address |
CN109246685B (en) * | 2018-11-29 | 2021-08-17 | 锐捷网络股份有限公司 | Passenger flow volume statistical method, device and storage medium based on MAC address |
CN109672587A (en) * | 2018-12-14 | 2019-04-23 | 北京酷云互动科技有限公司 | The recognition methods of common terminal, identifying system, server, computer-readable medium |
CN109379703B (en) * | 2018-12-18 | 2020-09-08 | 浙江每日互动网络科技股份有限公司 | Disaster area judgment method based on mobile terminal networking data |
CN109379703A (en) * | 2018-12-18 | 2019-02-22 | 浙江每日互动网络科技股份有限公司 | A kind of disaster region decision method based on mobile terminal networking data |
CN109951804A (en) * | 2019-02-26 | 2019-06-28 | 北京空中信使信息技术有限公司 | A kind of stream of people's amount estimation method and device |
CN109951804B (en) * | 2019-02-26 | 2020-09-22 | 北京莱利时空科技有限公司 | People flow estimation method and device |
CN109935082A (en) * | 2019-04-30 | 2019-06-25 | 长安大学 | A method of its acquisition data of Transportation Data Collection Terminal and use based on WiFi |
WO2021022793A1 (en) * | 2019-08-02 | 2021-02-11 | 创新先进技术有限公司 | Method and device for visitor traffic statistics |
CN110446157A (en) * | 2019-08-02 | 2019-11-12 | 北京莱利时空科技有限公司 | A kind of method and device determining target information based on WIFI probe |
CN110545558A (en) * | 2019-09-06 | 2019-12-06 | 山东省交通规划设计院 | High-speed service area crowd density estimation system based on Wi-Fi data |
CN111006372A (en) * | 2019-12-09 | 2020-04-14 | 武汉理工大学 | Central air conditioner management method and system based on wireless local area network positioning |
CN111372286A (en) * | 2020-03-03 | 2020-07-03 | 浙江每日互动网络科技股份有限公司 | Mobile terminal data processing method, medium and electronic device |
CN111372286B (en) * | 2020-03-03 | 2023-06-23 | 浙江每日互动网络科技股份有限公司 | Mobile terminal data processing method, medium and electronic equipment |
CN112911000A (en) * | 2021-02-01 | 2021-06-04 | 南京信息工程大学 | Regional college pedestrian flow monitoring system and method based on WIFI probe |
CN114158031A (en) * | 2021-12-02 | 2022-03-08 | 深圳市共进电子股份有限公司 | Method and device for counting terminals, router and storage medium |
CN114158031B (en) * | 2021-12-02 | 2023-08-22 | 深圳市共进电子股份有限公司 | Method, device, router and storage medium for counting terminals |
CN114785943A (en) * | 2022-03-31 | 2022-07-22 | 联想(北京)有限公司 | Data determination method, equipment and computer readable storage medium |
CN114785943B (en) * | 2022-03-31 | 2024-03-05 | 联想(北京)有限公司 | Data determination method, device and computer readable storage medium |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN108012309A (en) | People flow rate statistical method, apparatus and system based on WiFi | |
US10121366B2 (en) | Method and system for modeling and processing vehicular traffic data and information and applying thereof | |
CN105263118B (en) | The localization method and user terminal of a kind of user terminal | |
CN103068035B (en) | A kind of wireless network localization method, Apparatus and system | |
US8862154B2 (en) | Location measuring method and apparatus using access point for wireless local area network service | |
US9743237B2 (en) | Method and apparatus for predicting mobility based on relative mobile characteristics | |
Nunes et al. | Beanstalk: a community based passive wi-fi tracking system for analysing tourism dynamics | |
WO2017098428A1 (en) | Transportation network monitoring using wireless radio metadata | |
CN109996278A (en) | Road network method for evaluating quality, device, equipment and medium | |
CN109936819A (en) | It gets on the bus a recommended method, device and equipment | |
CN103167605B (en) | A kind of WiFi outdoor positioning method that satellite auxiliary signal coverage diagram is set up/upgraded | |
CN106170995A (en) | Feedback in alignment system | |
WO2016016394A1 (en) | System and method for sensor positioning and vehicle tracking using lpr based spatial constraints | |
CN102081851A (en) | Method and device for determining passing speed of road based on mobile communication network | |
CN108200534B (en) | Method and equipment for positioning terminal | |
CN104039008A (en) | Hybrid positioning method | |
CN108289279A (en) | Processing method, device and the computer readable storage medium of location information | |
US10582341B2 (en) | Facilitating estimation of mobile device presence inside a defined region | |
CN109041208A (en) | Positioning method and positioning server based on Wi-Fi fingerprint database | |
Brouwers et al. | Detecting dwelling in urban environments using gps, wifi, and geolocation measurements | |
CN111372182A (en) | Positioning method, device, equipment and computer readable storage medium | |
JP2016048529A (en) | Apparatus, program and method capable of determining stay of user carrying mobile terminal | |
JP6194992B2 (en) | Object analysis method, object analysis device, and object analysis system | |
Ribeiro et al. | Passive Wi-fi monitoring in public transport: a case study in the Madeira Island | |
CN115442758A (en) | User travel mode determination method and device, terminal equipment and storage medium |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
RJ01 | Rejection of invention patent application after publication | ||
RJ01 | Rejection of invention patent application after publication |
Application publication date: 20180508 |