CN110516021A - A kind of mobile phone user flowing law analysis method and system based on big data - Google Patents

A kind of mobile phone user flowing law analysis method and system based on big data Download PDF

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CN110516021A
CN110516021A CN201910759137.8A CN201910759137A CN110516021A CN 110516021 A CN110516021 A CN 110516021A CN 201910759137 A CN201910759137 A CN 201910759137A CN 110516021 A CN110516021 A CN 110516021A
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张露
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Quzhou University
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    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/24Querying
    • G06F16/245Query processing
    • G06F16/2458Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries
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    • GPHYSICS
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    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W4/00Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/02Services making use of location information
    • H04W4/029Location-based management or tracking services
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W8/00Network data management
    • H04W8/18Processing of user or subscriber data, e.g. subscribed services, user preferences or user profiles; Transfer of user or subscriber data
    • H04W8/183Processing at user equipment or user record carrier

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Abstract

The invention belongs to data identification and processing technology fields, disclose a kind of mobile phone user flowing law analysis method and system based on big data, mode is adopted firmly using the tradition of light splitting or mirror image in core-network side, extracts full dose mobile phone user's signaling by the way of soft adopt in wireless side;Aggregation processing is carried out to the full dose mobile phone user signaling of extraction while carrying out data sharing;It is modeled based on algorithm and carries out regionality movement of population analysis, hot spot region Crowds Distribute is analyzed, Real-time Road wagon flow statistical analysis, tourist attractions personnel analysis, emergency worker searches and rescues domain analysis and population from other places analyzes.Population collection is presented in the present invention in a manner of thermodynamic chart, and provides modes of warning and provide data supporting for public safety field.The present invention helps to optimize social resources distribution, reply traffic pressure maintains social king's peace by analysis movement of population behavior and the information such as resident place of working and residence.

Description

A kind of mobile phone user flowing law analysis method and system based on big data
Technical field
The invention belongs to data identification and processing technology field more particularly to a kind of mobile phone users based on big data Flowing law analysis method and system.
Background technique
Currently, the prior art commonly used in the trade is such that
With the development of the times, mobile phone has become the indispensable interactive tool of actual life.Global cellular mobile subscriber Close to 7,100,000,000, honeycomb movable signal has covered 95% or more world population.
With the reinforcement of the rapid growth and processing capacity of mobile terminal quantity, each major company, which all recognizes, occupies shifting Dynamic terminal market, just occupies huge client, has grasped a large amount of information of mobile user, occupy the big of the following mobile Internet Trend.And the fast development of 3G, 4G network consequently also brings a large amount of completely new research and using chance.Such as based on geography The service of location information, the combination of technology of Internet of things and the excavation of mobile social networking related data etc..
Trade center and aggregation center of the city as the mankind, are the products that human economic society develops to certain phase. The appearance in city is that human society steps into the mark in civilization and the advanced form of the gregarious life of the mankind.Urbanization process Quickening, so that city is had been assigned unprecedented economic, politics and technology right, generation has inevitably been shifted onto city The center of boundary's stage, plays leading role.At the same time, city be also faced with environmental pollution, traffic jam, energy shortages, The challenge of housing shortage, unemployment, disease etc..Under new environment, problems brought by urban development how are solved, it is real Existing sustainable development becomes the important proposition of urban planning and construction.Under this overall situation, the theory of smart city is come into being. Smart city covers the every aspect in city, including medical treatment, education, traffic, community, environmental protection, agricultural etc., it is based on Internet of Things On the basis of net, cloud computing, big data, the urban informationization that generation information technology is applied to the various aspects in city is advanced Form.
The high speed development of information technology accelerates urbanization process in the process, and the sharp increase of urban population also increases City management difficulty, such as traffic pressure, employment pressure etc..Analysis urban population flow behavior facilitates reasonable distribution society money Source, successfully manage traffic pressure, safeguard social king's peace etc..Traditional manual analysis method, such as questionnaire survey, access of having an informal discussion Deng with high costs and inefficient.The continuous development of smart phone is bringing the same of great convenience for people's daily life with popularizing When, generated mobile phone user's signaling data provides possibility for effectively analysis urban population flow behavior.However, magnanimity, low The user data of matter brings lot of challenges to query analysis work.Since the economic development of ground section is unbalanced, urban inner is each The function allocation in region is had nothing in common with each other, and causes urban inner population that can largely flow.It is limited to the factors such as geographical and social activity, people Behavior often show regularity, be exactly periodic location transition of the people in place of working and residence.
In conclusion problem of the existing technology is:
Traditional manual analysis method, such as questionnaire survey, access of having an informal discussion, it is with high costs and inefficient.
In the prior art, the model for not establishing mobile phone user's conversion size of population, can not achieve and estimated by regional population It calculates;It can not achieve customer position information positioning, cause social resources that cannot optimize distribution, cannot alleviate public to traffic, society Public security pressure.
Summary of the invention
In view of the problems of the existing technology, the present invention provides a kind of, and the mobile phone user based on big data flows rule Restrain analysis method and system.
The invention is realized in this way a kind of mobile phone user flowing law analysis method based on big data, described Mobile phone user flowing law analysis method based on big data specifically includes:
Step 1, using it is soft or hard adopt combine by the way of extract full dose mobile phone user's signaling.
Step 2 carries out aggregation processing to the full dose mobile phone user signaling of extraction while carrying out data sharing.
Step 3 carries out regional movement of population analysis, the analysis of hot spot region Crowds Distribute, real-time road based on algorithm modeling The analysis of road car stream statistics, tourist attractions personnel analysis, emergency worker search and rescue domain analysis and population from other places's analysis.
Further, in step 1, described soft or hard to adopt the collecting method combined specific:
In core-network side, mode is adopted firmly using the tradition of light splitting or mirror image, uses the soft side adopted at wireless side (UU/X2) Formula.
Further, in step 3, the regionality movement of population analysis is specifically included:
Regional division is carried out with region to be analyzed, at several grids, the mobility status of each grid is presented in analysis, And TOP grid flowing;Analyze urban population, people in the countryside, traffic main artery population flowing law.
Further, in step 3, the hot spot region Crowds Distribute analysis is specifically included:
Population collection is presented in a manner of thermodynamic chart, and modes of warning is provided;Main Analysis is under emergency case and great Crowd's temperature of zone of action provides data supporting in public safety field.
Further, in step 3, the Real-time Road wagon flow statistical analysis is specifically included:
The congestion level of every road is calculated by algorithm, and is converted into speed, realizes different time granularity, is led for traffic Domain provides data supporting.
Further, in step 3, the tourist attractions personnel analysis is specifically included:
Scenic spot is realized 24 hours and is monitored in real time, the distribution situation of inflow and outflow personnel is analyzed, is provided greatly for tourism industry Data Analysis Data.
Further, in step 3, the emergency worker searches and rescues domain analysis and specifically includes:
To population be missing user carry out trace analysis processing, for emergency worker search and rescue data supporting and positioning service are provided.
Further, in step 3, population from other places's analysis is specifically included:
Distribution and the mobility status of thoroughfare user is carried out in analysis other places.
Another object of the present invention is to provide the mobile phone user flowing laws described in a kind of implementation based on big data The mobile phone user flowing law analysis system based on big data of analysis method.
Another object of the present invention is to provide the mobile phone user flowing laws described in a kind of implementation based on big data The traffic route circulation analysis terminal of analysis method.
Another object of the present invention is to provide the mobile phone user flowing laws described in a kind of implementation based on big data The public arena mobile phone user flowing law analysing terminal of analysis method.
In conclusion advantages of the present invention and good effect are as follows:
Method provided by the invention is not only at low cost while high-efficient, and is able to carry out multi-analysis.
Population collection is presented in the present invention in a manner of thermodynamic chart, and provides modes of warning and provide data for public safety field Support;The congestion level of every road is calculated by algorithm, and is converted into speed, it can be achieved that different time granularity, leads for traffic Domain provides data supporting;Scenic spot is realized 24 hours and is monitored in real time, the distribution situation of inflow and outflow personnel is analyzed, is tourism industry Big data analysis data are provided;To population be missing user carry out trace analysis processing, for emergency worker search and rescue data supporting is provided And positioning service.
The present invention establishes the model of mobile phone user's conversion size of population, passes through mobile phone user's quantity and simulates de facto population, mould Quasi- accuracy rate reaches 95% or more, and it is intelligent to realize that regional population estimates on this basis;Speed is flowed by road mobile phone user Degree and user establish road vehicle flowing velocity in the switching sequence of mobile base station, to mark real road speed and congestion rate, mould Quasi- accuracy rate reaches 95% or more;By mobile MR data and base station data, customer position information positioning is realized in algorithm modeling, with The comparison of actual user present position, degree of error is within 100 meters;The estimation of floating population and population from other places, pass through field staff It goes down town mode, entry time and Subscriber Number ownership place tripartite's Modeling Calculation, realizes that the estimation of floating population and population from other places are quasi- True rate reaches 90% or more.
The present invention facilitates optimization society by analysis movement of population behavior and the information such as resident place of working and residence Resource allocation, reply traffic pressure maintain social king's peace.
Detailed description of the invention
Fig. 1 is the mobile phone user flowing law analysis method process provided in an embodiment of the present invention based on big data Figure.
Fig. 2 is that signaling provided in an embodiment of the present invention extracts schematic diagram.
Specific embodiment
In order to make the objectives, technical solutions, and advantages of the present invention clearer, with reference to embodiments, to the present invention It is further elaborated.It should be appreciated that the specific embodiments described herein are merely illustrative of the present invention, it is not used to Limit the present invention.
Traditional manual analysis method, such as questionnaire survey, access of having an informal discussion, it is with high costs and inefficient.In the prior art, The model for not establishing mobile phone user's conversion size of population, can not achieve and estimated by regional population;It can not achieve user location Information locating causes social resources that cannot optimize distribution, cannot alleviate to traffic, social king's peace pressure.
In order to solve the problems existing in the prior art, the present invention is described in detail with reference to the accompanying drawing.
As shown in Figure 1, the mobile phone user flowing law analysis method provided in an embodiment of the present invention based on big data It specifically includes:
S101, using it is soft or hard adopt combine by the way of extract full dose mobile phone user's signaling.
S102 carries out aggregation processing to the full dose mobile phone user signaling of extraction while carrying out data sharing.
S103 carries out regional movement of population analysis, the analysis of hot spot region Crowds Distribute, Real-time Road based on algorithm modeling Wagon flow statistical analysis, tourist attractions personnel analysis, emergency worker search and rescue domain analysis and population from other places's analysis.
As shown in Fig. 2, in step S101, provided in an embodiment of the present invention soft or hard to adopt the collecting method combined specific Include:
In core-network side, mode is adopted using light splitting or the hard of mirror image, in wireless side (UU/X2) by the way of soft adopt.
In step S103, regionality movement of population analysis provided in an embodiment of the present invention is specifically included:
Regional division is carried out with region to be analyzed, at several grids, the mobility status of each grid is presented in analysis, And TOP grid flowing;Analyze urban population, people in the countryside, traffic main artery population flowing law.
In step S103, Crowds Distribute analysis in hot spot region provided in an embodiment of the present invention is specifically included:
Population collection is presented in a manner of thermodynamic chart, and modes of warning is provided;Main Analysis is under emergency case and great Crowd's temperature of zone of action provides data supporting in public safety field.
In step S103, Real-time Road wagon flow statistical analysis provided in an embodiment of the present invention is specifically included:
The congestion level of every road is calculated by algorithm, and is converted into speed, realizes different time granularity, is led for traffic Domain provides data supporting.
In step S103, tourist attractions personnel analysis provided in an embodiment of the present invention is specifically included:
Scenic spot is realized 24 hours and is monitored in real time, the distribution situation of inflow and outflow personnel is analyzed, is provided greatly for tourism industry Data Analysis Data.
In step S103, emergency worker provided in an embodiment of the present invention searches and rescues domain analysis and specifically includes:
To population be missing user carry out trace analysis processing, for emergency worker search and rescue data supporting and positioning service are provided.
In step S103, population from other places's analysis provided in an embodiment of the present invention is specifically included:
Distribution and the mobility status of thoroughfare user is carried out in analysis other places.
Application principle of the invention is described further combined with specific embodiments below.
Embodiment 1: using Quzhou City as embodiment
1, mainly using mobile subscriber's signaling data, (the mobile phone user's accounting moved in three big operators is up to 80% by the present invention Left and right, the main mobile phone user for extracting commmunication company, is not related to individual privacy such as name telephone number identification card number etc.).Mainly Content including following several respects:
1) regional movement of population analysis: regional division is carried out to Quzhou City, at several grids, each net is presented in analysis The mobility status and TOP grid of lattice flow;Study urban population, people in the countryside, traffic main artery population flowing law.
2) hot spot region Crowds Distribute is analyzed: population collection being presented in a manner of thermodynamic chart, and provides modes of warning;Mainly Research and probe provides data supporting under emergency case and crowd's temperature in occasion region, in public safety field.
3) Real-time Road wagon flow statistical research: being calculated the congestion level of every road by algorithm, and be converted into speed, can It realizes different time granularity, provides data supporting for field of traffic.
4) tourist attractions personnel study: realizing 24 hours and monitor in real time to scenic spot, analyze the distribution feelings of inflow and outflow personnel Condition provides big data analysis data for tourism industry.
5) emergency worker search and rescue field research: to population be missing user carry out trace analysis processing, searched for emergency worker It rescues and data supporting and positioning service is provided.
6) analysis of population from other places: distribution and the mobility status of thoroughfare user is carried out in analysis other places.
2, result:
1) model for establishing mobile phone user's conversion size of population passes through mobile phone user's quantity and simulates de facto population, and simulation is quasi- True rate reaches 95% or more.It is intelligent to realize that regional population estimates on this basis.
2) road vehicle flowing is established in the switching sequence of mobile base station by road mobile phone user flowing velocity and user Speed, to mark real road speed and congestion rate, simulation accuracy rate reaches 95% or more.
3) by mobile MR data and base station data, customer position information positioning is realized in algorithm modeling, with actual user institute Locate position versus, degree of error is within 100 meters.
4) estimation of floating population and population from other places enters the Quzhou time and Subscriber Number is returned by other places come thoroughfare mode Possession tripartite's Modeling Calculation realizes that the estimation accuracy rate of floating population and population from other places reach 90% or more.
The foregoing is merely illustrative of the preferred embodiments of the present invention, is not intended to limit the invention, all in essence of the invention Made any modifications, equivalent replacements, and improvements etc., should all be included in the protection scope of the present invention within mind and principle.

Claims (10)

1. a kind of mobile phone user flowing law analysis method based on big data, which is characterized in that described to be based on big data Mobile phone user flowing law analysis method specifically include:
Step 1 extracts full dose mobile phone user signaling;
Step 2 carries out aggregation processing to the full dose mobile phone user signaling of extraction while carrying out data sharing;
Step 3 carries out regional movement of population analysis, the analysis of hot spot region Crowds Distribute, Real-time Road vehicle based on algorithm modeling Stream statistics analysis, tourist attractions personnel analysis, emergency worker search and rescue domain analysis and population from other places's analysis.
2. the mobile phone user flowing law analysis method based on big data as described in claim 1, which is characterized in that step In one, in core-network side, mode is adopted using light splitting or the hard of mirror image, is extracted entirely in wireless side UU/X2 using the soft mode of adopting Measure mobile phone user's signaling.
3. the mobile phone user flowing law analysis method based on big data as described in claim 1, which is characterized in that step In three, the regionality movement of population analysis is specifically included:
It treats analyzed area and carries out regional division, at several grids, the mobility status of each grid is presented in analysis, and The flowing of TOP grid;Analyze urban population, people in the countryside, traffic main artery population flowing law.
4. the mobile phone user flowing law analysis method based on big data as described in claim 1, which is characterized in that step In three, the hot spot region Crowds Distribute analysis is specifically included:
Population collection is presented in a manner of thermodynamic chart, and modes of warning is provided;Analysis is under emergency case and occasion region Crowd's temperature.
5. the mobile phone user flowing law analysis method based on big data as described in claim 1, which is characterized in that step In three, the Real-time Road wagon flow statistical analysis is specifically included: calculating the congestion level of every road by algorithm, and is converted into Speed, and calculate different time granularity;
The tourist attractions personnel analysis specifically includes: monitoring in real time to scenic spot, analyzes the distribution situation of inflow and outflow personnel.
6. the mobile phone user flowing law analysis method based on big data as described in claim 1, which is characterized in that step In three, the emergency worker searches and rescues domain analysis and specifically includes: carrying out trace analysis processing to the population user that is missing.
7. the mobile phone user flowing law analysis method based on big data as described in claim 1, which is characterized in that step In three, population from other places's analysis specifically includes: distribution and the mobility status of user is carried out in analysis other places.
8. a kind of implement counting based on big for the mobile phone user flowing law analysis method based on big data described in claim 1 According to mobile phone user flowing law analysis system.
9. a kind of traffic route for implementing the mobile phone user flowing law analysis method based on big data described in claim 1 Circulation analysis terminal.
10. a kind of public field for implementing the mobile phone user flowing law analysis method based on big data described in claim 1 Close mobile phone user flowing law analysing terminal.
CN201910759137.8A 2019-08-16 2019-08-16 A kind of mobile phone user flowing law analysis method and system based on big data Pending CN110516021A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111445309A (en) * 2020-03-26 2020-07-24 四川旅游学院 Social network-based travel service recommendation method

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CN106971001A (en) * 2017-04-17 2017-07-21 北京工商大学 A kind of visual analysis system and method for cellular base station location data
US20170222716A1 (en) * 2016-01-28 2017-08-03 Fujitsu Limited Transmission apparatus, transmission system, and transmission control method
CN108198416A (en) * 2017-12-28 2018-06-22 金交恒通有限公司 A kind of mobile phone signaling and the fusion method of road network big data and its application and system
CN109636252A (en) * 2019-01-21 2019-04-16 广东创能科技股份有限公司 Floating population's big data multidimensional analysis method and system

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Publication number Priority date Publication date Assignee Title
US20170222716A1 (en) * 2016-01-28 2017-08-03 Fujitsu Limited Transmission apparatus, transmission system, and transmission control method
CN106971001A (en) * 2017-04-17 2017-07-21 北京工商大学 A kind of visual analysis system and method for cellular base station location data
CN108198416A (en) * 2017-12-28 2018-06-22 金交恒通有限公司 A kind of mobile phone signaling and the fusion method of road network big data and its application and system
CN109636252A (en) * 2019-01-21 2019-04-16 广东创能科技股份有限公司 Floating population's big data multidimensional analysis method and system

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111445309A (en) * 2020-03-26 2020-07-24 四川旅游学院 Social network-based travel service recommendation method
CN111445309B (en) * 2020-03-26 2023-05-30 四川旅游学院 Tourism service recommendation method based on social network

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Application publication date: 20191129