CN108628910A - A method of the large-scale exhibitions synthesis passenger flow total amount of analysis and source - Google Patents
A method of the large-scale exhibitions synthesis passenger flow total amount of analysis and source Download PDFInfo
- Publication number
- CN108628910A CN108628910A CN201710183331.7A CN201710183331A CN108628910A CN 108628910 A CN108628910 A CN 108628910A CN 201710183331 A CN201710183331 A CN 201710183331A CN 108628910 A CN108628910 A CN 108628910A
- Authority
- CN
- China
- Prior art keywords
- passenger flow
- exhibitions
- data
- synthesis
- source
- 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
- 230000015572 biosynthetic process Effects 0.000 title claims abstract description 17
- 238000000034 method Methods 0.000 title claims abstract description 17
- 238000003786 synthesis reaction Methods 0.000 title claims abstract description 17
- 238000004458 analytical method Methods 0.000 title claims description 10
- 230000011664 signaling Effects 0.000 claims abstract description 22
- 238000010295 mobile communication Methods 0.000 claims abstract description 8
- 230000000694 effects Effects 0.000 claims abstract description 3
- 230000000717 retained effect Effects 0.000 claims abstract 2
- 238000012216 screening Methods 0.000 claims description 4
- 238000013507 mapping Methods 0.000 claims description 2
- 238000007405 data analysis Methods 0.000 abstract description 4
- 238000007726 management method Methods 0.000 abstract description 3
- 238000011161 development Methods 0.000 description 3
- 238000005516 engineering process Methods 0.000 description 3
- 238000012545 processing Methods 0.000 description 2
- 241001269238 Data Species 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 235000013361 beverage Nutrition 0.000 description 1
- 239000002131 composite material Substances 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 238000013480 data collection Methods 0.000 description 1
- 239000004744 fabric Substances 0.000 description 1
- 230000004927 fusion Effects 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 230000013011 mating Effects 0.000 description 1
- 230000002093 peripheral effect Effects 0.000 description 1
- 230000002035 prolonged effect Effects 0.000 description 1
- 238000007619 statistical method Methods 0.000 description 1
- 239000013589 supplement Substances 0.000 description 1
- 238000012546 transfer Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2216/00—Indexing scheme relating to additional aspects of information retrieval not explicitly covered by G06F16/00 and subgroups
- G06F2216/03—Data mining
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E40/00—Technologies for an efficient electrical power generation, transmission or distribution
- Y02E40/70—Smart grids as climate change mitigation technology in the energy generation sector
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
Abstract
The present invention discloses a kind of method based on the large-scale exhibitions synthesis passenger flow total amount of mobile phone signaling data analysis and source, is as follows:A, at the appointed time in section, the signaling data that all mobile phone terminal activities generate in the time interval is obtained from mobile communication operator with Fixed Time Interval t;B, mass discrimination is carried out to the signaling data got and ETL is cleaned, retained the data of effective mobile terminal signaling, form channel passenger flow base data table.The present invention leverages fully on existing mobile communications network resource, is excavated using existing mobile phone big data analysis, efficiently calculates the volume of the flow of passengers during exhibitions, and the operation planning to optimize large-scale exhibitions synthesis launches management etc. with Tradeshows.
Description
Technical field
The present invention relates to a kind of data analysing method, the large-scale exhibitions synthesis passenger flow total amount of specifically a kind of analysis and source
Method.
Background technology
Large-scale exhibitions synthesis is built upon near the hinge of city traffic, can radiate this city and periphery provinces and cities, is met
Market economy and industry and commerce development need, the large-scale museum that at least 200,000 square meters are provided, tens of thousands of people or more can be accommodated, Ke Yiti
For the single building or groups of building of fusion composite merchandise exhibitions, retailing, business office, hotel food and beverage, synthetic recreation etc..Than
Such as Shanghai conference and exhibition center of country, national 1,470,000 square metres of exhibitions project overall floorage possesses 400,000 square metres of indoor exhibition room
With 100,000 square metres of outdoor exhibition, mating 150,000 square metres of commercial centers, 180,000 square metres of office facilities and 60,000 square metre five
Star hotel.It is positioned at and builds up exhibitions synthesis on the largest scale, most horizontal, most competitiveness in the world.
National conference and exhibition center (Shanghai) Co., Ltd will comply with world's exhibition industry development and transfer tendency, base oneself upon long three
Angle, the service whole nation, meets the needs of the world, and actively promotes the development in Shanghai and conference and exhibition industry of China, with the first-class hardware of national exhibitions project
For important base, with service for this, profession is efficient, standardized and orderly occupation spirit, to improve new era commercial business hair
Exhibition strategic promotes Shanghai " four centers " construction to contribute share.
Such venue can periodically or non-periodically hold comprehensive or Large-scale professional exhibitions, and each exhibition side of exhibitions wishes
Solve or predict the spectators that this exhibitions is attracted to number and they from where, these data can not from spectators' safety check or
Available data acquisition means are effectively obtained.
With popularizing for 21 century individual's intelligent terminal, mobile phone owning rate and utilization rate have reached quite in the group that goes on a journey
High ratio, it is increasingly recognised that mobile phone is a kind of ideal traffic (passenger flow) detector.Data in mobile phone is resident
Trip information analysis provides the good choice of technology, can be used as one of the important supplement of existing traffic data collection technology, leads to
It crosses to prolonged mobile phone signaling data into line trace, studies the recognition methods of mobile phone user's event trace, analyze mobile phone user
Regular spatial distribution and trip characteristics parameter.In conjunction with meeting-place periphery mobile base station coverage condition during exhibition, pass through receipts
Collect the mobile operator mobile phone signaling datas of the period, so that it may space division when excavating passenger flow total amount and source that exhibitions is attracted to
Cloth situation.
Invention content
The purpose of the present invention is to provide a kind of large-scale exhibitions synthesis passenger flow total amount of analysis and the methods in source, to solve
The problems mentioned above in the background art.
To achieve the above object, the present invention provides the following technical solutions:
A method of large-scale exhibitions synthesis passenger flow total amount and source being analyzed based on mobile phone signaling data, specific steps are such as
Under:
A, it at the appointed time in section, is obtained in the time interval and is owned from mobile communication operator with Fixed Time Interval t
The signaling data that mobile phone terminal activity generates;
B, mass discrimination is carried out to the signaling data got and ETL is cleaned, retain the data of effective mobile terminal signaling,
Form channel passenger flow base data table;
C, mobile communication network and Traffic Net are subjected to mapping matching, effective movement that step 2 is obtained
Terminal signaling is ranked up this discrete data by user and time by space overlapping and Natural neighbors interpolation operation,
The electron trajectory of user and corresponding dwell point are formed based on GIS;
D, according to the pre-set buffer band value k on exhibitions region (venue and periphery), according to base station in location distribution with X-axis
Positive value directional structure vectorical structure base station matches queue;
E, user trajectory is read one by one and record data, execute screening conditions successively and be included in exhibition passenger flow flow and source
Ground;
F, summarize each by value of each effective mobile terminal signaling, with timeslice where arrival time as exhibition visitor
Flow accounting timeslice.
As a further solution of the present invention:The base station matching queue includes positive and reversed queue, the two queues
The both direction for corresponding to the convergence of exhibition passenger flow respectively and leaving the theatre.
As a further solution of the present invention:Screening conditions are executed successively in the step E and are included in exhibitions passenger flow flow
And direction includes:Determine whether to enter museum, determines whether to leave museum, determines whether to be included in museum's passenger flow flow and judgement
It marches into the arena whether consistent with the matching direction of queue with the direction left the theatre.
As a further solution of the present invention:The method for determining whether to leave venue includes non-location more new state
Down the corresponding track record data of continuous four signalings not in the queue, the corresponding rail of signaling twice in succession under location updating state
Mark records data not in the queue.
As further scheme of the invention:The method for determining whether to be included in channel capacity is to judge cross-location
Whether area's code is no more than 0.5h into time interval out of the venue.
Compared with prior art, the beneficial effects of the invention are as follows:The present invention leverages fully on existing mobile communications network money
Source is excavated using existing mobile phone big data analysis, efficiently calculates the volume of the flow of passengers during exhibitions, to optimize large-scale exhibitions synthesis
The operation planning of body launches management etc. with Tradeshows.
Specific implementation mode
The technical scheme in the embodiments of the invention will be clearly and completely described below, it is clear that described implementation
Example is only a part of the embodiment of the present invention, instead of all the embodiments.Based on the embodiments of the present invention, this field is common
The every other embodiment that technical staff is obtained without making creative work belongs to the model that the present invention protects
It encloses.
A kind of large-scale exhibitions synthesis passengers source statistical method based on mobile phone signaling data, step are:
Step A, exhibitions venue and peripheral base station network foundation information are established in acquisition;
Step B, the live signal that all mobile phones are sent out in the time interval is obtained from cell phone network with Fixed Time Interval T
Data;
Step C, the data got are pre-processed, including deletes invalid data, processing is because of base station drift production
Raw data, analyzing processing is for a long time without the data in mobile phone of generation signal;
Step D, from all users, the relevant user's subset in participant exhibition shop target area is established;
Step E, according to the electronics footprint of i-th of user, i-th of user is calculated in the residence time in each place, setting
Residence time is a dwell point more than given threshold T1, judges all dwell points for obtaining i-th of user, according to time sequence
+ 1 dwell point of j-th of dwell point and jth form primary trip;
Step F, backtracking+1 dwell point of j-th of dwell point and jth calculates this rail in the track situation of electronic foot India and China
The ratio k of the air line distance of the total length of mark and j-th of dwell point and+1 dwell point of jth judges that Trip chain is according to the value of k
Whether no needs interrupt, i.e., need to be divided into go on a journey twice by the secondary trip.
Step G, according to step 6 as a result, the hourage of the trip between+1 dwell point of j-th of dwell point and jth be
The difference of corresponding signal forming time, i.e. hourage t=Tj+1-Tj, in formula, Tj+1 is i-th mobile phone of+1 dwell point of jth
The time that signal occurs, Tj are the time that j-th of dwell point, i-th mobile phone signal occurs;
Step H, the distance of the trip between+1 dwell point of j-th of dwell point and jth calculates the straight line between dwell point first
Distance lj carries out the division (such as exhibition admission, exhibition end of a performance etc.) of type according to origin and destination, goes on a journey different type according to road network
Feature expands sample to shortest path with base station covering feature and goes on a journey, and expansion spline coefficient is α 1, finally will be most short according to different type trip
Path trip expands sample to full trip, and expansion spline coefficient is α 2, then final trip distance Lj=lj* α 1* α 2;
Step I, each trip for summarizing each mobile phone related with museum and periphery, gets final passengers source,
And relevant trip parameter.
The present invention operation principle be:The present invention leverages fully on existing mobile communications network resource, utilizes existing mobile phone
Big data analysis excavate, efficiently calculate exhibitions during the volume of the flow of passengers, to optimize large-scale exhibitions synthesis operation planning with
Tradeshows launch management etc..
Claims (5)
1. a kind of analysis large size exhibitions synthesis passenger flow total amount and the method in source, which is characterized in that comprise the steps of:
A, at the appointed time in section, all mobile phones in the time interval are obtained from mobile communication operator with Fixed Time Interval t
The signaling data that end activity generates;
B, mass discrimination is carried out to the signaling data got and ETL is cleaned, retained the data of effective mobile terminal signaling, formed
Channel passenger flow base data table;
C, mobile communication network and Traffic Net are subjected to mapping matching, effective mobile terminal that step 2 is obtained
Signaling is ranked up this discrete data by user and time by space overlapping and Natural neighbors interpolation operation, is based on
GIS forms the electron trajectory of user and corresponding dwell point;
D, according to the pre-set buffer band value k in exhibitions region, according to base station in location distribution with X-axis positive value directional structure vectorical structure base station
Match queue;
E, user trajectory is read one by one and record data, execute screening conditions successively and be included in exhibition passenger flow flow and source place;
F, summarize each effective mobile terminal signaling every time by value, with timeslice where arrival time as exhibition passenger flow counting
Timeslice.
2. a kind of analysis large size exhibitions synthesis passenger flow total amount according to claim 1 and the method in source, feature exist
In the base station matching queue includes positive and reversed queue, the two queues correspond to what exhibition passenger flow converged and left the theatre respectively
Both direction.
3. a kind of analysis large size exhibitions synthesis passenger flow total amount according to claim 1 and the method in source, feature exist
In executing screening conditions successively in the step E and be included in exhibitions passenger flow flow and direction includes:Determine whether enter museum,
Determine whether to leave museum, determine whether to be included in museum's passenger flow flow and direction that judgement marches into the arena and leaves the theatre whether with matching team
The direction of row is consistent.
4. a kind of analysis large size exhibitions synthesis passenger flow total amount according to claim 1 and the method in source, feature exist
In, the method for determining whether to leave venue include the corresponding track record of continuous four signalings under non-location more new state
The corresponding track record data of signaling are not in the queue twice in succession in the queue, under location updating state for data.
5. a kind of analysis large size exhibitions synthesis passenger flow total amount according to claim 1 and the method in source, feature exist
In, the method for determining whether to be included in channel capacity be judge cross-location area code, into time interval out of the venue whether not
More than 0.5h.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201710183331.7A CN108628910A (en) | 2017-03-24 | 2017-03-24 | A method of the large-scale exhibitions synthesis passenger flow total amount of analysis and source |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201710183331.7A CN108628910A (en) | 2017-03-24 | 2017-03-24 | A method of the large-scale exhibitions synthesis passenger flow total amount of analysis and source |
Publications (1)
Publication Number | Publication Date |
---|---|
CN108628910A true CN108628910A (en) | 2018-10-09 |
Family
ID=63706730
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201710183331.7A Pending CN108628910A (en) | 2017-03-24 | 2017-03-24 | A method of the large-scale exhibitions synthesis passenger flow total amount of analysis and source |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN108628910A (en) |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109495848A (en) * | 2018-12-18 | 2019-03-19 | 成都方未科技有限公司 | A kind of method of user's space positioning |
CN109934502A (en) * | 2019-03-19 | 2019-06-25 | 上海工程技术大学 | A kind of wisdom Exhibition Management system based on indoor LBS |
Citations (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103856887A (en) * | 2012-12-03 | 2014-06-11 | 上海粱江通信系统股份有限公司 | Real-time scenic spot visitor flow counting method based on signaling information |
CN204423474U (en) * | 2015-02-13 | 2015-06-24 | 北京融信汇智科技有限公司 | Tourist attraction tourist flow monitoring system |
CN105142106A (en) * | 2015-07-29 | 2015-12-09 | 西南交通大学 | Traveler home-work location identification and trip chain depicting method based on mobile phone signaling data |
CN105376710A (en) * | 2015-10-10 | 2016-03-02 | 北京中创信测信息技术有限公司 | System and method for counting tourist number of scenic spot in real time |
CN105608890A (en) * | 2015-09-08 | 2016-05-25 | 上海美慧软件有限公司 | Personnel travel parameter statistical method based on mobile phone signal data |
CN105844916A (en) * | 2016-05-18 | 2016-08-10 | 上海美慧软件有限公司 | Traffic corridor passenger flow calculating method based on mobile phone signaling data |
CN106295787A (en) * | 2015-05-29 | 2017-01-04 | 中国移动通信集团浙江有限公司 | A kind of passenger flow statistical method based on mobile signaling protocol and device |
CN106503843A (en) * | 2016-10-20 | 2017-03-15 | 上海萃图数字科技有限公司 | A kind of regular public traffic line network optimization and method of adjustment based on mobile phone signaling data |
-
2017
- 2017-03-24 CN CN201710183331.7A patent/CN108628910A/en active Pending
Patent Citations (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103856887A (en) * | 2012-12-03 | 2014-06-11 | 上海粱江通信系统股份有限公司 | Real-time scenic spot visitor flow counting method based on signaling information |
CN204423474U (en) * | 2015-02-13 | 2015-06-24 | 北京融信汇智科技有限公司 | Tourist attraction tourist flow monitoring system |
CN106295787A (en) * | 2015-05-29 | 2017-01-04 | 中国移动通信集团浙江有限公司 | A kind of passenger flow statistical method based on mobile signaling protocol and device |
CN105142106A (en) * | 2015-07-29 | 2015-12-09 | 西南交通大学 | Traveler home-work location identification and trip chain depicting method based on mobile phone signaling data |
CN105608890A (en) * | 2015-09-08 | 2016-05-25 | 上海美慧软件有限公司 | Personnel travel parameter statistical method based on mobile phone signal data |
CN105376710A (en) * | 2015-10-10 | 2016-03-02 | 北京中创信测信息技术有限公司 | System and method for counting tourist number of scenic spot in real time |
CN105844916A (en) * | 2016-05-18 | 2016-08-10 | 上海美慧软件有限公司 | Traffic corridor passenger flow calculating method based on mobile phone signaling data |
CN106503843A (en) * | 2016-10-20 | 2017-03-15 | 上海萃图数字科技有限公司 | A kind of regular public traffic line network optimization and method of adjustment based on mobile phone signaling data |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109495848A (en) * | 2018-12-18 | 2019-03-19 | 成都方未科技有限公司 | A kind of method of user's space positioning |
CN109934502A (en) * | 2019-03-19 | 2019-06-25 | 上海工程技术大学 | A kind of wisdom Exhibition Management system based on indoor LBS |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN105760454B (en) | A kind of Urban Population Distribution density real time dynamic measurement method | |
CN111681421B (en) | Mobile phone signaling data-based external passenger transport hub centralized-sparse space distribution analysis method | |
CN108322891A (en) | Region congestion recognition methods based on user mobile phone signaling data | |
Zhai et al. | Using mobile signaling data to exam urban park service radius in Shanghai: methods and limitations | |
CN105611502B (en) | A kind of indoor locating system and method based on WiFi Mesh network | |
CN103428275B (en) | Indoor moving goal activity route tracking method based on WSN | |
Xu et al. | Network structure of subway passenger flows | |
CN108320501A (en) | Public bus network recognition methods based on user mobile phone signaling | |
CN105635968B (en) | A kind of hot spot region recognition methods, prediction technique and device based on time quantum | |
CN105206048A (en) | Urban resident traffic transfer mode discovery system and method based on urban traffic OD data | |
CN109561391A (en) | Expressway Service stream of people's analysis method based on Cellular Networks and Wi-Fi data | |
CN109362041A (en) | A kind of population space-time distributional analysis method based on big data | |
CN102097004A (en) | Mobile phone positioning data-based traveling origin-destination (OD) matrix acquisition method | |
CN102609616A (en) | Dynamic population distribution density detecting method based on mobile phone positioning data | |
CN108810808A (en) | A kind of region passenger flow saturation computation method based on mobile phone signaling data | |
CN109509351B (en) | Method for calculating bus sharing rate in areas around bus stop | |
CN109189949A (en) | A kind of population distribution calculation method | |
Liu et al. | Roles and functions of tourism destinations in tourism region of South Anhui: A tourist flow network perspective | |
CN105844916B (en) | A kind of method that traffic corridor passenger flow is calculated based on mobile phone signaling data | |
CN102711245B (en) | Two-stage matching and positioning method in WLAN (Wireless Local Area Network) area in indoor environment | |
CN108628910A (en) | A method of the large-scale exhibitions synthesis passenger flow total amount of analysis and source | |
CN112000755B (en) | Regional travel corridor identification method based on mobile phone signaling data | |
CN105844031B (en) | A kind of urban transportation gallery recognition methods based on mobile phone location data | |
Hu et al. | Circuity in China's high-speed-rail network | |
Sevtsuk et al. | Capturing urban intensity |
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 |
Application publication date: 20181009 |
|
RJ01 | Rejection of invention patent application after publication |