CN104125587A - Dynamic community recognizing method and dynamic community recognizing device - Google Patents
Dynamic community recognizing method and dynamic community recognizing device Download PDFInfo
- Publication number
- CN104125587A CN104125587A CN201410380249.XA CN201410380249A CN104125587A CN 104125587 A CN104125587 A CN 104125587A CN 201410380249 A CN201410380249 A CN 201410380249A CN 104125587 A CN104125587 A CN 104125587A
- Authority
- CN
- China
- Prior art keywords
- community
- user
- base station
- call
- average
- 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.)
- Granted
Links
Abstract
The invention provides a dynamic community recognizing method. The dynamic community recognizing method includes the steps of acquiring geographical location information of a base station; matching the geographical location information with the base station according to the geographical location information of a community; establishing a community base station group ID for base stations near the community and around the community according to the geographical location information; acquiring cellphone signaling and call data of callers under the community base station group; acquiring information about whether the callers call out or not within a time section from cellphone signaling information, and obtaining wastage rate and growth rate to judge the mobility type of the community; judging the community level of the community according to average duration and call amount information acquired from the call data within the time section. The dynamic community recognizing method has the advantages that a manager is enabled to recognize communities in aspects of community mobility and community levels through optimization algorithm according to cellphone signaling data and the call data of community residents, and targeted management and targeted prevention for the community are facilitated for the manager.
Description
Technical field
The present invention relates to base station communication recognition technology field, especially relate to a kind of community Dynamic Recognition device and method.
Background technology
Along with the development of urbanization, the construction speed of community and scale are all being accelerated.Community is a semi-enclosed physical region, and as a base unit of society, the stable of it is the prerequisite that entire society develops in a healthy way.The identification of community and classification are significant for social governor.
The location of the main Shi Cong of existing community's Dynamic Recognition device community, the periphery room rate of community, the address location of community are distinguished and judge, although this mode possesses certain accuracy, but amount of information is limited, and can not As time goes on and in real time change.Can not meet manager according to the classification situation of community, carry out distinguishing personal management and prevention, thereby make various accidents reduce to minimum as far as possible, for guaranteeing that social harmony stablizes the creation of value.
Summary of the invention
The problem to be solved in the present invention is to provide a kind of community Dynamic Recognition apparatus and method, and a kind of recognition capability can be provided, and community is identified and is classified, thereby meet the object of dissimilar gerentocratic social management.
For solving the problems of the technologies described above, the technical solution used in the present invention is:
Community's dynamic identifying method, the method comprises the steps:
Obtain base station geographic position information;
According to community's geographical location information, foundation is mated with base station;
According to geographical position, community, the base station group ID of community is set up near base station community and around;
Obtain mobile phone signaling and the communicating data of the active call user under community's base station group;
According to the active call user who obtains in mobile phone signaling information, within the time period, whether initiate the information of call, obtain running off user's churn rate and the user's growth rate Adding User, thus judge the mobility type under this community;
According to the average call duration in the time period of obtaining in communicating data and call quantity information, judge and obtain the affiliated community's level in this community; And
The recognition result obtaining is shown;
Wherein, if a local user does not initiate any call at this base station group within a period of time, think that this user is loss user, if one Add User this base station group in continuous a period of time every day have the call initiated, think that this user is for Adding User.
Further, by interface mode or data importing mode, obtain mobile phone signaling and the communicating data of the active call user under community's base station group.
Further, the above-mentioned step that obtains the affiliated mobility type in this community specifically comprises:
Determine the local user's number under the base station group ID of community;
Determine churn rate, if a local user does not initiate any call at this base station group within a period of time, think that this user is loss user;
Determine user's growth rate, if one Add User this base station group in continuous a period of time every day have the call initiated, think that this user is for Adding User;
Compare with a plurality of turnover rates of setting in community's mobility model and growth rate threshold value, determine community's mobility.
Further, the above-mentioned affiliated community's level step in this community that obtains specifically comprises:
Obtain the average call duration of average each local user in community in the time period;
Obtain the average call quantity of average each local user in community in the time period;
Compare with a plurality of average call durations of setting in community's level model and average call amount threshold, determine community's rank.
According to a further aspect in the invention, also provide a kind of community Dynamic Recognition device, comprised:
For obtaining the base station information gathering-device of base station geographic position information;
For according to community's geographical location information, set up the coupling apparatus for establishing mating of community and base station;
For set up the ID apparatus for establishing of the base station group ID of community according to geographical position, community;
For obtaining the mobile phone signaling of the active call user under community's base station group and the data acquisition facility of communicating data;
For the active call user who obtains according to mobile phone signaling information, within the time period, whether initiate the information of call, obtain running off user's churn rate and the user's growth rate Adding User, thus judge the mobility kind judging device of the mobility type under this community; And
For the average call duration in the time period of obtaining according to communicating data and call quantity information, judge the community's level judgment means that obtains the affiliated community's level in this community.
Further, described data acquisition facility obtains mobile phone signaling and the communicating data of the active call user under community's base station group by interface mode or data importing mode.
Further, described mobility kind judging device comprises:
For determining that the local user of the local user's number under the base station group ID of community counts determining device;
For determining the turnover rate determining device of churn rate, if wherein a local user does not initiate any call at this base station group within a period of time, think that this user is loss user;
For determining the growth rate determining device of user's growth rate, if wherein one Add User this base station group in continuous a period of time every day have the call of initiation, think that this user is for Adding User;
After comparing for a plurality of turnover rates of setting with community's mobility model of setting up and growth rate threshold value, determine the first determining device of community's mobility.
Further, described community level judgment means comprises
For obtaining the duration acquisition device of the average call duration of average each local user in community in the time period;
For obtaining the call quantity acquisition device of the average call quantity of average each local user in community in the time period;
For determining the second determining device of community's rank after comparing with community's level model of setting up a plurality of average call durations of setting and the amount threshold of on average conversing.
Advantage and good effect that the present invention has are:
Mobile phone signaling data and communicating data according to community resident, by optimized algorithm, make manager community mobility and community's level carry out the identification of community, on the one hand, social governor can clear understanding community situation, for the accident of community, prevent; On the other hand, also allow the region characteristic that the designer in city can the existing city of clear understanding, convenient is that the auxiliary construction in future city provides foundation; System can show the distribution of community under city in real time, can show according to the feature situation of the community emphasis of classifying.
Accompanying drawing explanation
The flow chart of Tu1Shi community of the present invention dynamic identifying method;
Tu2Shi community of the present invention Dynamic Recognition device block diagram.
Embodiment
Below in conjunction with accompanying drawing and concrete application example, the present invention is further illustrated.The core of this community's Dynamic Recognition device is identification, mobile phone signaling data and communicating data according to community resident, by optimized algorithm, make manager community mobility and community's level carry out the identification of community, facilitate social governor manage targetedly and prevent.The new approaches of a kind of community Dynamic Recognition are provided, the classification that can unify to present this community, urban area is checked with emphasis and is shown, can carry out emphasis contrast and analysis according to the situation of similar features, find out identical point and difference, convenient leader, according to the community of different characteristic, sets unified program management.
As shown in Figure 1, Fig. 1 has shown the flow process of community's dynamic identifying method, first needs to determine ID and residing geographical position (longitude and latitude) of base station, and these can obtain corresponding data by actual measurement or from operator; Determine afterwards the geographical position (longitude and latitude) at place, community, then the residing geographical position of the actual geographic positional information of base station and community is mated, find near the base station IDs in community and community's base station IDs around, and the base station of these types is established as to a logical group, the rower of going forward side by side is determined the base station group ID of community.
From operator, obtain the mobile phone signaling information (cell-phone number+base station IDs+access time) of the user under base station group ID and mobile phone communication data (base station IDs+call time started+end of conversation time under caller phone number number+called mobile phone number+calling number); Determine all cell-phone number active call message registrations under this base station group ID, the user that obtains initiating active call is as 135XXXXXXXX; 136XXXXXXXX; 137XXXXXXXX etc. belong to every day the user of this base station group initiation call, and this type of user belongs to local user.
According to the active call user who obtains in mobile phone signaling information, within the time period, whether initiate the information of call, obtain running off user's churn rate and the user's growth rate Adding User, thus judge the mobility type under this community; According to the average call duration in the time period of obtaining in communicating data and call quantity information, judge and obtain the affiliated community's level in this community; Wherein, if a local user does not initiate any call at this base station group within a period of time, think that this user is loss user, if one Add User this base station group in continuous a period of time every day have the call initiated, think that this user is for Adding User.
Judge that the concrete parser of mobility type under this community is: during community of the present invention mobility model algorithm is analyzed, if in local user, the time that has a cell-phone number the present invention to be decided to be in 1 month is not initiated any call at this base station group, and giving tacit consent to this user is loss user; If have a newly-increased local user to have the call of initiation continuous one month every day at this base station group, become this user for Adding User; A plurality of setting thresholds (as N1, N2, N3 etc.) of distinguishing community's mobility in community's mobility model modeling, have also been set; Then according to mobile phone signaling information data under the base station group ID obtaining, calculate after regular hour t (as half a year or a year) the loss user of this community rate that leads and Add User; According to statistics, judge afterwards, if the churn rate of this community is greater than some setting threshold N1 (as: 30%), giving tacit consent to this community is loss type community; When if user's growth rate of this community is greater than some setting threshold N2 (as: 20%), Ze Chengci community is for increasing community; If the churn rate of this community and growth rate are all greater than a certain setting threshold N3 (as: 40%), Ze Chengci community is popular extremely strong community, thereby obtains the mobility type that this community belongs to.
Judge that the concrete parser of community's level under this community is: during community of the present invention level model algorithm is analyzed, according to community's hierachy number of setting, set corresponding interval threshold value (average each local user's the total duration threshold value of call T1, T2 in the time period ... with average conversation number amount threshold M1, M2 ...); According to (caller phone number number+call time started+end of conversation time) in the local user's mobile phone communication data that obtain, carry out data analysis, obtaining (the present invention adopts average Dan Yue) in the local user of this community certain hour section total duration of on average conversing is that the quantity of T and conversation number is M, judges afterwards; If T is greater than threshold value T1, and M is greater than threshold value M1, thinks that this community is high-end community; If when T2<T<T1 and M2<M<M1, think that this community is middle-end community; If when T<T2 and M<M2, be called low side community.
Finally by feedback result by being pushed to foreground, carry out presenting of result, be convenient to leader and check in time and decision-making.
When above-mentioned community dynamic identifying method is specifically implemented, by following community dynamic recognition system, realized, as shown in Figure 2, native system comprises middleware unit 102, unit, 104He foreground, unit, backstage 106, wherein:
Middleware unit 102, comprise business system docking unit 1021 for obtaining base station information, mobile phone signaling and communicating data, for the business datum that above-mentioned data are imported import unit 1022, unit 1023 is docked on the backstage of carrying out data interaction with unit, backstage 104, the 106 docking unit, foreground 1024 that carry out data-pushing to unit, foreground;
In specific implementation process, business system docking unit 1021, can adopt interface mode, needs carrier side system according to webservice agreement, contains corresponding field, develops, for meeting the demand of community's Dynamic Recognition device; Or adopting file lead-in mode, the form system data with form derives, and is then entered in the middle of our community's Dynamic Recognition device, then imports unit 1022 importings by business datum;
The data that Ba Cong operator gets can be realized in docking unit, backstage 1023, carry out after simple cleaning (for example the irrelevant data in some and community being shielded, as: other data within the scope of Bu community base station group), pass to unit, backstage 104, facilitate unit, backstage 104 to carry out data analysis and modeling;
Docking unit, foreground 1024, is that unit, backstage 104 has been passed through to the findings data of analyzing, and by foreground, with chart or the mode of GIS, presents, and being convenient to user can check.
Unit, backstage 104, comprises the data processing unit 1042 of comparing for the threshold value of building the data model unit 1041 of community's mobility model and community's level model and set for data analysis that middleware unit 102 is obtained, processing, with data model unit 1041;
Data model unit 1041 is set up community's mobility model according to community's mobility algorithm in above-mentioned community dynamic identifying method, according to community's level algorithm, sets up community's level model;
Data model unit 1041 comprises business diagnosis module and system modeling module two parts;
Data processing unit 1042 comprises data processing module and data-mining module two parts, mainly to get the data that complete after cleaning by docking unit, backstage 1023, again process and process, processing and the mode of processing are mainly community's mobility model and the community's level models according to our construction;
Described data-mining module excavates with community's mobility model and community's level model and compares useful data for the data from the preliminary cleaning in docking unit, backstage 1023;
Unit, foreground 106, is mainly to realize presenting of interface, foreground, with chart or the mode of GIS, presents, and being convenient to user can check.
A kind of community Dynamic Recognition device that the embodiment of the present invention also provides, comprises:
For obtaining the base station information gathering-device of base station geographic position information;
For according to community's geographical location information, set up the coupling apparatus for establishing mating of community and base station;
For set up the ID apparatus for establishing of the base station group ID of community according to geographical position, community;
For obtaining the mobile phone signaling of the active call user under community's base station group and the data acquisition facility of communicating data;
For the active call user who obtains according to mobile phone signaling information, within the time period, whether initiate the information of call, obtain running off user's churn rate and the user's growth rate Adding User, thus judge the mobility kind judging device of the mobility type under this community; And
For the average call duration in the time period of obtaining according to communicating data and call quantity information, judge the community's level judgment means that obtains the affiliated community's level in this community.
Further, described data acquisition facility obtains mobile phone signaling and the communicating data of the active call user under community's base station group by interface mode or data importing mode.
Further, described mobility kind judging device comprises:
For determining that the local user of the local user's number under the base station group ID of community counts determining device;
For determining the turnover rate determining device of churn rate, if wherein a local user does not initiate any call at this base station group within a period of time, think that this user is loss user;
For determining the growth rate determining device of user's growth rate, if wherein one Add User this base station group in continuous a period of time every day have the call of initiation, think that this user is for Adding User;
After comparing for a plurality of turnover rates of setting with community's mobility model of setting up and growth rate threshold value, determine the first determining device of community's mobility.
Further, described community level judgment means comprises
For obtaining the duration acquisition device of the average call duration of average each local user in community in the time period;
For obtaining the call quantity acquisition device of the average call quantity of average each local user in community in the time period;
For determining the second determining device of community's rank after comparing with community's level model of setting up a plurality of average call durations of setting and the amount threshold of on average conversing.
Above one embodiment of the present of invention are had been described in detail, but described content is only preferred embodiment of the present invention, can not be considered to for limiting practical range of the present invention.All equalization variations of doing according to the present patent application scope and improvement etc., within all should still belonging to patent covering scope of the present invention.
Claims (8)
1.Yi Zhong community dynamic identifying method, is characterized in that comprising the steps:
1) obtain base station geographic position information;
2), according to community's geographical location information, foundation is mated with base station;
3), according to geographical position, community, the base station group ID of community is set up near base station community and around;
4) obtain mobile phone signaling and the communicating data of the active call user under community's base station group;
5) according to the active call user who obtains in mobile phone signaling information, within the time period, whether initiate the information of call, obtain running off user's churn rate and the user's growth rate Adding User, thus judge the mobility type under this community;
6), according to the average call duration in the time period of obtaining in communicating data and call quantity information, judge and obtain the affiliated community's level in this community; And
7) recognition result obtaining is shown;
Wherein, if a local user does not initiate any call at this base station group within a period of time, think that this user is loss user, if one Add User this base station group in continuous a period of time every day have the call initiated, think that this user is for Adding User.
2. community according to claim 1 dynamic identifying method, is characterized in that: step 4) by interface mode or data importing mode, obtain mobile phone signaling and the communicating data of the active call user under community's base station group.
3. community according to claim 1 dynamic identifying method, is characterized in that: step 5) comprising:
Determine the local user's number under the base station group ID of community;
Determine churn rate;
Determine user's growth rate;
Compare with a plurality of turnover rates and growth rate threshold value default in community's mobility model, determine community's mobility.
4. according to the community's dynamic identifying method described in claim 1 or 3, it is characterized in that: step 6) comprising:
Obtain the average call duration of average each local user in community in the time period;
Obtain the average call quantity of average each local user in community in the time period;
Compare with a plurality of average call durations of setting in community's level model and average call amount threshold, determine community's rank.
5.Yi Zhong community Dynamic Recognition device, is characterized in that comprising:
For obtaining the base station information gathering-device of base station geographic position information;
For according to community's geographical location information, set up the coupling apparatus for establishing mating of community and base station;
For set up the ID apparatus for establishing of the base station group ID of community according to geographical position, community;
For obtaining the mobile phone signaling of the active call user under community's base station group and the data acquisition facility of communicating data;
For the active call user who obtains according to mobile phone signaling information, within the time period, whether initiate the information of call, obtain running off user's churn rate and the user's growth rate Adding User, thus judge the mobility kind judging device of the mobility type under this community; And
For the average call duration in the time period of obtaining according to communicating data and call quantity information, judge the community's level judgment means that obtains the affiliated community's level in this community.
6. community according to claim 5 Dynamic Recognition device, is characterized in that: described data acquisition facility obtains mobile phone signaling and the communicating data of the active call user under community's base station group by interface mode or data importing mode.
7. community according to claim 5 Dynamic Recognition device, is characterized in that: described mobility kind judging device comprises:
For determining that the local user of the local user's number under the base station group ID of community counts determining device;
For determining the turnover rate determining device of churn rate, if wherein a local user does not initiate any call at this base station group within a period of time, think that this user is loss user;
For determining the growth rate determining device of user's growth rate, if wherein one Add User this base station group in continuous a period of time every day have the call of initiation, think that this user is for Adding User;
After comparing for a plurality of turnover rates of setting with community's mobility model of setting up and growth rate threshold value, determine the first determining device of community's mobility.
8. according to the community's Dynamic Recognition device described in claim 5 or 7, it is characterized in that: described community level judgment means comprises
For obtaining the duration acquisition device of the average call duration of average each local user in community in the time period;
For obtaining the call quantity acquisition device of the average call quantity of average each local user in community in the time period;
For determining the second determining device of community's rank after comparing with community's level model of setting up a plurality of average call durations of setting and the amount threshold of on average conversing.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410380249.XA CN104125587B (en) | 2014-08-04 | 2014-08-04 | Community's dynamic identifying method and device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410380249.XA CN104125587B (en) | 2014-08-04 | 2014-08-04 | Community's dynamic identifying method and device |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN104125587A true CN104125587A (en) | 2014-10-29 |
| CN104125587B CN104125587B (en) | 2017-08-08 |
Family
ID=51770819
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201410380249.XA Expired - Fee Related CN104125587B (en) | 2014-08-04 | 2014-08-04 | Community's dynamic identifying method and device |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN104125587B (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108184207A (en) * | 2017-12-20 | 2018-06-19 | 中国移动通信集团江苏有限公司 | Determine that communication user resides the method, apparatus, equipment and medium of community |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101150822A (en) * | 2006-09-18 | 2008-03-26 | 上海欣泰通信技术有限公司 | A method for telecommunication operator to collect user numbers |
| US20100062784A1 (en) * | 2008-09-05 | 2010-03-11 | Ornbo Lars | Method and apparatus for allocating a communication cell to a cluster |
| US20120246239A1 (en) * | 2011-03-23 | 2012-09-27 | Dell Products, Lp | Method for Establishing Interpersonal Communication and System |
| CN103313314A (en) * | 2012-03-09 | 2013-09-18 | 鼎桥通信技术有限公司 | High-speed railway cell type recognition method |
-
2014
- 2014-08-04 CN CN201410380249.XA patent/CN104125587B/en not_active Expired - Fee Related
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101150822A (en) * | 2006-09-18 | 2008-03-26 | 上海欣泰通信技术有限公司 | A method for telecommunication operator to collect user numbers |
| US20100062784A1 (en) * | 2008-09-05 | 2010-03-11 | Ornbo Lars | Method and apparatus for allocating a communication cell to a cluster |
| US20120246239A1 (en) * | 2011-03-23 | 2012-09-27 | Dell Products, Lp | Method for Establishing Interpersonal Communication and System |
| CN103313314A (en) * | 2012-03-09 | 2013-09-18 | 鼎桥通信技术有限公司 | High-speed railway cell type recognition method |
Non-Patent Citations (2)
| Title |
|---|
| 无名: "通话数据分析", 《百度文库》 * |
| 路宏琦: "《信息科技辑》", 31 March 2010 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108184207A (en) * | 2017-12-20 | 2018-06-19 | 中国移动通信集团江苏有限公司 | Determine that communication user resides the method, apparatus, equipment and medium of community |
| CN108184207B (en) * | 2017-12-20 | 2020-06-30 | 中国移动通信集团江苏有限公司 | Method, device, equipment and medium for determining resident community of communication user |
Also Published As
| Publication number | Publication date |
|---|---|
| CN104125587B (en) | 2017-08-08 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN107466103B (en) | Terminal positioning method and network equipment | |
| CN109921941B (en) | Network service quality evaluation and optimization method, device, medium and electronic equipment | |
| CN102097004B (en) | Mobile phone positioning data-based traveling origin-destination (OD) matrix acquisition method | |
| CN110337059B (en) | Analysis algorithm, server and network system for family relationship of user | |
| US20170048789A1 (en) | Switching Between Networks Based on Quality of Available Networks | |
| EP2608181B1 (en) | Method for detecting traffic | |
| CN103841550A (en) | Method and device for identifying multi-card user | |
| CN105139641A (en) | WiFi relay station-based vehicle scheduling method and system | |
| CN111078818B (en) | Address analysis method and device, electronic equipment and storage medium | |
| CN109272032A (en) | Trip mode recognition methods, device, computer equipment and storage medium | |
| CN108271157B (en) | Pseudo base station identification method and device | |
| CN106504524B (en) | A method of express highway section is divided based on mobile signaling protocol dynamic | |
| CN113365305A (en) | Network coverage data processing method, device, medium and electronic equipment | |
| CN104735640A (en) | High-speed mobile user speed determining system and method, switching method and RNC | |
| CN112153568B (en) | Wi-Fi identification and binding method, device and equipment based on service scene | |
| CN103945433A (en) | Method and device for determining area with weak network coverage | |
| CN109618281A (en) | A kind of recognition methods of high-speed rail cell and device | |
| CN107889210B (en) | Building user positioning method and system | |
| CN104125587A (en) | Dynamic community recognizing method and dynamic community recognizing device | |
| CN107708136B (en) | High-speed rail cell identification method and device | |
| CN112954774B (en) | Wi-Fi network identification method and device, electronic equipment and storage medium | |
| CN113286262B (en) | Service providing method and apparatus, computer-readable storage medium, and electronic device | |
| CN104065821A (en) | Incoming call prompt method and communication terminal | |
| CN104780265B (en) | A kind of talking management method and device | |
| CN104581672A (en) | Method and device for obtaining user value |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant | ||
| CF01 | Termination of patent right due to non-payment of annual fee | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20170808 Termination date: 20190804 |