CN102869037B - High-speed railway user separation method based on signaling data of A interface and Abis interface - Google Patents
High-speed railway user separation method based on signaling data of A interface and Abis interface Download PDFInfo
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Abstract
The invention discloses a high-speed railway user separation method based on signaling data of an A interface and an Abis interface. The method comprises the following steps of: acquiring all signaling data of the A interface and the Abis interface of a high-speed railway cell; establishing a high-speed railway resident user database, and determining high-speed railway resident users in the high-speed railway cell; acquiring call behavior characteristics of high-speed railway users which are not the resident users according to the acquired signaling data; and separating the high-speed railway users from high-speed expressway users and normal users according to the call behavior characteristics. By the method, user types such as a high-speed railway user, a resident user along a railway and a low-speed user along the railway can be effectively separated by establishing a high-speed railway user separation algorithm model, relevant functions of a high-speed railway road test simulation system can be realized according to the separated high-speed railway users, and uncertain problems of a small quantity of testing samples, high contingency and single testing terminal during the conventional high-speed railway simulation test can be effectively solved.
Description
Technical field
The present invention relates to wireless technical communication field, particularly a kind of high-speed railway user separation method based on A mouth and Abis mouth signaling data in high-speed railway wireless coverage scene.
Background technology
Current domestic Development of High Speed Railway is swift and violent, high-speed railway has become the pith of railway transport of passengers, but because high-speed railway speed is fast, Doppler effect is remarkable, high-speed railway index error and optimization means scarcity have limited carrying out in a deep going way of high-speed railway mobile communication network optimization work greatly.
The optimisation technique means of existing high-speed railway mobile communications network are mainly to analyze covering high-speed railway community index by traffic measurement data, then carry out the network optimization for abnormal community; Or by a large number on the spot drive test data analyze, determine in high-speed railway mobile communications network and have abnormal problem.By test LOG recovering and analysis problem reason the solution that asks a question.The method of analyzing covering high-speed railway community index by traffic measurement data, due to the resident user's index stealth of line of high-speed railway, whether can not specify anomalous event is that high-speed railway user occurs, high-speed railway abnormal conditions can be resided in a large number user's normal condition and be flooded, can not be well from conventional index reflection high-speed railway user index.And adopt the mode of drive test on the spot, will exist sampling less, sporadic large, the uncertain problem such as test terminal is single, and testing cost is huge, the accuracy of the assessment on high-speed railway wireless network situation is brought very large impact.
Summary of the invention
For the defect existing in prior art, the object of the present invention is to provide a kind of high-speed railway user separation method based on A mouth and Abis mouth signaling data, by the method, the user of high-speed railway community is carried out to dissimilar differentiation, identify high-speed railway user.
For achieving the above object, the technical solution used in the present invention is as follows:
Based on a high-speed railway user separation method for A mouth and Abis mouth signaling data, comprise the following steps:
(1) the full dose signaling data of collection high-speed railway community A mouth and Abis mouth, records in detail TDR by the rear associated affairs that form, and is saved in database after the signaling data that will collect parsing; Described full dose signaling data comprises the measurement report data being gathered by Abis mouth, and call in A mouth data is switched and taken community, switches and reside in community duration and each minizone switching sequence;
(2) set up the resident customer data base of high-speed railway, determine the resident user of high-speed railway in high-speed railway community; Described high-speed railway resident user refer to during high-speed railway is stopped transport, the user of generating period location area updating or start, shutdown in high-speed railway community;
(3) according to the full dose signaling data that collects, the high-speed railway user who obtains the user outside the resident user of the high-speed railway behavioural characteristic of conversing; The described high-speed railway user behavioural characteristic of conversing comprises that motor train unit is at the road speed of each section along the line, the time interval and the each switching point longitude and latitude that user's communication switches in each section of minizone along the line;
(4) separate high-speed railway user and other user in the user outside the resident user of high-speed railway according to the high-speed railway user behavioural characteristic of conversing, other user refers to highway user or common railway user; Concrete mode is as follows:
(4-1), according to gathered full dose signaling data, obtain the repeatedly switching user that 2 times or 2 times call is switched above occurred;
(4-2) according to repeatedly switching twice switching difference of user and the calculation of longitude & latitude user moving speed of twice switching point;
(4-3) separate high-speed railway user and other user according to user moving speed.
Further, a kind of high-speed railway user separation method based on A mouth and Abis mouth signaling data as above, the method is further comprising the steps of:
(5) judge high-speed railway user direction of traffic according to high-speed railway user switching sequence.
Further, a kind of high-speed railway user separation method based on A mouth and Abis mouth signaling data as above, the mode of setting up the resident customer data base of high-speed railway is:
High-speed railway community A mouth during the stoppage in transit at night of collection high-speed railway and the full dose signaling data of Abis mouth, the user of the renewal of generating period this period position, startup and shutdown type of service is defined as to the resident user of high-speed railway, obtain the resident customer group of high-speed railway of continuous many days, after deduplication, obtain the resident customer data base of high-speed railway.
Further, a kind of high-speed railway user separation method based on A mouth and Abis mouth signaling data as above, in step (2), determine that according to the resident customer data base of high-speed railway the resident user's of high-speed railway mode is:
(2-1), according to gathered full dose signaling data, obtain less switching user; Described less switching user refers to the user that 0 time or 1 time call switching occurred;
(2-2) less switching user and the resident customer data base of high-speed railway are matched, isolate the resident user of high-speed railway.
Further, a kind of high-speed railway user separation method based on A mouth and Abis mouth signaling data as above, the user that less switching user is greater than or equal to setting switching duration thresholding at a certain high-speed railway district calling duration is the resident user of high-speed railway; The user that the duration of call is less than setting switching duration thresholding and chamber, vacant station subsystem is defined as the resident user of high-speed railway; Chamber, described station subsystem refers to the community that only covers high ferro station.
Further, a kind of high-speed railway user separation method based on A mouth and Abis mouth signaling data as above, less switching user is less than at a certain high-speed railway district calling duration the user who sets switching duration thresholding and take chamber, station subsystem and is defined as high-speed railway user.
Further again, a kind of high-speed railway user separation method based on A mouth and Abis mouth signaling data as above, in step (4-3), high-speed railway user's user moving speed scope is: 150km/h < translational speed≤300km/h; Highway or common railway user's user moving speed scope is 80～150km/h.
Further, a kind of high-speed railway user separation method based on A mouth and Abis mouth signaling data as above, the user that calling/called business occurs in the high ferro private network short-message users of high-speed railway community is defined as highway or common railway user, and the user that calling/called business does not occur resides customer data base by high-speed railway and determines user type.
Beneficial effect of the present invention is: the present invention covers high-speed railway community A mouth and Abis mouth full dose signaling data by collection, forms high-speed railway user separation algorithm model.User in acquisition range can be distinguished by high-speed railway user, high speed and ordinary train user, the resident user of high-speed railway etc. according to this model, realize the correlation function of high-speed railway simulation road examining system according to isolated high-speed railway user, there is the advantages such as sampled point is more, real-time is stronger, terminal is more various, effectively solve the uncertain problems such as traditional high-speed railway test sample is few, sporadic greatly, test terminal is single.
Brief description of the drawings
Fig. 1 is the flow chart of a kind of high-speed railway user separation method based on A mouth and Abis mouth signaling data of the present invention;
Fig. 2 is the detail flowchart of a kind of high-speed railway user separation method based on A mouth and Abis mouth signaling data in embodiment.
Embodiment
Below in conjunction with Figure of description and embodiment, the present invention is described in further detail.
The present invention be directed to the drawback existing in current high-speed railway optimization, a kind of high-speed railway user separation method based on A mouth and Abis mouth signaling data is proposed, by the method can by cover in high-speed railway community user by high-speed railway user, along the line resident user, three types such as low speed user (comprising common railway user and highway) are distinguished along the line, the high-speed railway user index identifying can be used for assessing high-speed railway wireless network situation, effectively solves that field test terminal is single, the sporadic large and huge problem of testing cost of problem.
Fig. 1 and Fig. 2 show respectively the detail flowchart in flow chart and the present embodiment of a kind of high-speed railway user separation method based on A mouth and Abis mouth signaling data of the present invention, and the method mainly comprises the following steps:
Step S11: gather the full dose signaling data of high-speed railway community A mouth and Abis mouth, the rear associated affairs that form record and preserve in detail;
Gather the full dose signaling data of high-speed railway community A mouth and Abis mouth, record in detail TDR (Transaction Detail Record) record by the rear associated affairs that form, and be saved in database after the signaling data collecting is resolved.
A interface is the widely used a kind of digital interface of trunk side, and A interface definition is the communication interface between network subsystem (NSS) and base station sub-system (BSS).From system, be exactly the interface between mobile switching centre (MSC) and base station controller (BSC), the information of this interface transmission comprises travelling carriage management, BTS management, mobile management, connection management etc.Abis interface is defined as the communication interface between two functional entity BSC (base station controller) and the BTS (base transceiver station) of base station sub-system, for the far-end interconnection mode between BTS and BSC, this interface support the service that provides of oriented user, and support control to BTS wireless device and the distribution of wireless frequency.
Because signal collecting is that unit carries out based on community, user once converses and may take multiple communities, rear association is exactly the difference of occupying community according to user's communication, the signaling section collecting from different districts is combined into a complete communication process across multiple communities, forms affairs and record in detail the details of recording user call.
Step S12: set up the resident customer data base of high-speed railway, determine the resident user of high-speed railway in high-speed railway community;
During definition high-speed railway is stopped transport, in high-speed railway community, the user of generating period location area updating or start, shutdown is the resident user of high-speed railway.According to the signaling data collecting in step S11, set up the resident customer data base of high-speed railway, determine the resident user of high-speed railway in high-speed railway community.All users in high-speed railway community reside user library by coupling, isolate the resident user of high-speed railway, further isolate resident user more afterwards according to high-speed railway call rule.
The resident customer data base of high-speed railway is according to the high-speed railway community A mouth during the high-speed railway stoppage in transit at night gathering and the full dose signaling data of Abis mouth, the user of the renewal of generating period this period position, startup and shutdown type of service is defined as to the resident user of high-speed railway, the resident customer group of high-speed railway of obtaining continuous many days (for example one week), obtains the resident customer data base of high-speed railway after deduplication.The concrete mode that separates the resident user of high number railway according to the resident customer data base of high number railway is (Fig. 2):
First,, according to gathered full dose signaling data, obtain less switching user; Described less switching user refers to the user that 0 time or 1 time call switching occurred;
Less switching user and the resident customer data base of high-speed railway are matched, isolate the resident user of high-speed railway.
Gather at the resident user procedures of actual separation high-speed railway, just can not all separate and determine residing user according to the resident customer data base of high-speed railway, also need further to isolate resident user according to high-speed railway call rule.Because high ferro stroke medium velocity is very fast, will switch at set intervals, the residence time of high ferro user under each community is a definite value substantially, if so the call of user under certain high-speed rail cell exceeded the actual resident duration of high ferro user, be that in less switching user, the duration of call under a certain high-speed rail cell is greater than or equal to and sets the user of switching duration thresholding (as 120s) and can assert that this user is not in high ferro, this user is resident user.In addition, if being less than the user of setting switching duration thresholding and chamber, vacant station subsystem, less switching user's the duration of call is defined as the resident user of high-speed railway.Although but if the duration of call is less than to set and switches duration thresholding but the user who takies chamber, station subsystem can think high-speed railway user in less switching user, instead of resident user.Wherein, chamber, station subsystem refers to the community that only covers high ferro station, if take Dao Gai community in user's communication process, just can assert that this user is in this station.
Step S13: according to the full dose signaling data collecting, the high-speed railway user who obtains the user outside the resident user behavioural characteristic of conversing;
According to the full dose signaling data collecting in step S11, the high-speed railway user who obtains the user outside the resident user of the high-speed railway behavioural characteristic of conversing; Described high-speed railway user converses behavioural characteristic motor train unit at the road speed of each section along the line, the time interval and each switching point longitude and latitude of each section of user's communication community along the line switching.Because high-speed railway running time is determined, motor train unit is also relatively-stationary at the speed of service, the calling user switching band etc. of each section, according to the full dose signaling data collecting, can find out motor train unit the road speed of each section along the line, the information such as the time interval and each switching point longitude and latitude that switch in each section, extracts the high-speed railway user feature of conversing.
Step S14: separate high-speed railway user and highway or the common railway user in user outside resident user according to user's communication behavioural characteristic;
Separate high-speed railway user and other user in the user outside the resident user of high-speed railway according to the high-speed railway user behavioural characteristic of conversing, other user refers to highway user or common railway user, and concrete separate mode is as follows:
First, according to gathered full dose signaling data, obtain the repeatedly switching user that 2 times or 2 times call is switched above occurred, then utilize and repeatedly switch 2 switching differences of user, and the longitude and latitude of twice switching point is estimated the distance between switching for 2 times, and then calculate user's translational speed, determine that according to user moving speed user is high-speed railway user or common railway user/highway user.High-speed railway user's user moving speed scope is 150km/h < translational speed≤300km/h; Highway or common railway user's user moving speed scope is 80～150km/h,, can from the order of magnitude, can distinguish high-speed railway user, and highway or common railway user.In addition, the user that calling/called business occurs in the high ferro private network short-message users of high-speed railway community is defined as highway or common railway user, the user that calling/called business does not occur resides customer data base by high-speed railway and determines user type, as shown in Figure 2.High ferro private network short-message users: according to the known isolated high ferro user of high ferro user's separation algorithm, sent out again note on high ferro private network, can assert that this type of user is for high ferro private network short-message users.
Step S15: judge high-speed railway user direction of traffic according to high-speed railway user switching sequence.
Because high-speed railway coverage cell is linear distribution, the switching band of each minizone is relatively fixing, can judge according to the switching sequence switching in high-speed railway user communication process user's direction of traffic.User's switching sequence refers in user's communication process, the shared community order of using while switching.For example user once converses 3 switchings occurs, and is switched to B community, then is switched to C community from B community from A community, and A->B->C is exactly a switching sequence so; According to the longitude and latitude of A, B, C3Ge community, just can judge user's direction of traffic.
Below in conjunction with specific embodiment, the present invention is further detailed.
Embodiment
According to method of the present invention, gather the A mouth on January 6th, 2011 and the data of Abis mouth and carry out the checking of high-speed railway user separation algorithm.
Resident user library definition:
From A+Abis system, gather on January 6th, 2011 morning 2～4 o'clock and do periodic location update and switching on and shutting down user totally 3054 resident customer data bases of conducts.
Resident user separates:
From A+Abis system, extract 6 days 9 January～10: 0 in 2011 time or switch totally 2997 of users 1 time;
From 2997 less switching users, match 167 users that the same period, other more than 2 times service switchovers occurred, remain 2830 users;
2830 users and resident customer data base match 228 resident users;
Remain the duration of call in 2602 users was 451 more than 120 seconds, was classified as resident user;
Isolate altogether the resident user in 228+451=679 position, add switching times and be more than or equal to 2 times, but speed is lower than 94 of the users of 60km/h, isolates altogether 773 of resident users, has verified the feasibility that resident user separates;
Remaining 2830-679=2151 position user, because the duration of call is shorter, can not isolate by this user's separation scheme, is defined as doubtful high ferro user.
High ferro, highway or common railway user separate:
From A+Abis system, extract 6 days 9 January～10: 2 in 2011 time and switch above totally 1216 of users for 2 times, calculating user in each impulsive road speed, average speed is greater than the user 844 times of 150km/h, is defined as high ferro user; Average speed, 278 of the users of 80-150km/h, is defined as highway or common railway user, and other speed, lower than 94 of the users of 80km/h, are defined as resident user along the line.
The present invention covers high-speed railway community A mouth and Abis mouth full dose signaling data by collection, according to high-speed railway user behavioural characteristic, forms high-speed railway user separation algorithm model.User in acquisition range can be distinguished by high-speed railway user, high-speed power and common railway user, resident user etc. according to this model, realize the correlation function of high-speed railway simulation road examining system according to isolated high-speed railway user, by isolated high-speed railway user is carried out to index analysis, be effectively optimized for high-speed railway user network.
Obviously, those skilled in the art can carry out various changes and modification and not depart from the spirit and scope of the present invention the present invention.Like this, if these amendments of the present invention and within modification belongs to the scope of the claims in the present invention and equivalent technology thereof, the present invention is also intended to comprise these changes and modification interior.
Claims (6)
1. the high-speed railway user separation method based on A mouth and Abis mouth signaling data, comprises the following steps:
(1) the full dose signaling data of collection high-speed railway community A mouth and Abis mouth, records in detail TDR by the rear associated affairs that form, and is saved in database after the signaling data that will collect parsing; Described full dose signaling data comprises the measurement report data being gathered by Abis mouth, and call in A mouth data is switched and taken community, switches and reside in community duration and each minizone switching sequence;
(2) set up the resident customer data base of high-speed railway, determine the resident user of high-speed railway in high-speed railway community; Described high-speed railway resident user refer to during high-speed railway is stopped transport, the user of generating period location area updating or start, shutdown in high-speed railway community; The mode of setting up the resident customer data base of high-speed railway is:
High-speed railway community A mouth during the stoppage in transit at night of collection high-speed railway and the full dose signaling data of Abis mouth, the user of the renewal of generating period this period position, startup and shutdown type of service is defined as to the resident user of high-speed railway, obtain the resident customer group of high-speed railway of continuous many days, after deduplication, obtain the resident customer data base of high-speed railway;
Determine that according to the resident customer data base of high-speed railway the resident user's of high-speed railway mode is:
(2-1), according to gathered full dose signaling data, obtain less switching user; Described less switching user refers to the user that 0 time or 1 time call switching occurred;
(2-2) less switching user and the resident customer data base of high-speed railway are matched, isolate the resident user of high-speed railway;
(3) according to the full dose signaling data that collects, the high-speed railway user who obtains the user outside the resident user of the high-speed railway behavioural characteristic of conversing; The described high-speed railway user time interval and the each switching point longitude and latitude that behavioural characteristic comprises that motor train unit is switched the online Ge Duan of road speed, the user's communication community of each section along the line of conversing;
(4) separate high-speed railway user and other user in the user outside the resident user of high-speed railway according to the high-speed railway user behavioural characteristic of conversing, other user refers to highway user or common railway user; Concrete mode is as follows:
(4-1), according to gathered full dose signaling data, obtain the repeatedly switching user that 2 times or 2 times call is switched above occurred;
(4-2) according to repeatedly switching twice switching difference of user and the calculation of longitude & latitude user moving speed of twice switching point;
(4-3) separate high-speed railway user and other user according to user moving speed.
2. a kind of high-speed railway user separation method based on A mouth and Abis mouth signaling data as claimed in claim 1, is characterized in that, the method is further comprising the steps of:
(5) judge high-speed railway user direction of traffic according to high-speed railway user switching sequence.
3. a kind of high-speed railway user separation method based on A mouth and Abis mouth signaling data as claimed in claim 1, is characterized in that: the user that less switching user is greater than or equal to setting switching duration thresholding at a certain high-speed railway district calling duration is the resident user of high-speed railway; The user that the duration of call is less than setting switching duration thresholding and chamber, vacant station subsystem is defined as the resident user of high-speed railway.
4. a kind of high-speed railway user separation method based on A mouth and Abis mouth signaling data as claimed in claim 1, is characterized in that: less switching user is less than at a certain high-speed railway district calling duration the user who sets switching duration thresholding and take chamber, station subsystem and is defined as high-speed railway user; Chamber, described station subsystem refers to the community that only covers high ferro station.
5. a kind of high-speed railway user separation method based on A mouth and Abis mouth signaling data as claimed in claim 1 or 2, it is characterized in that: in step (4-3), high-speed railway user's user moving speed scope is: 150km/h < translational speed≤300km/h; Highway or common railway user's user moving speed scope is 80～150km/h.
6. a kind of high-speed railway user separation method based on A mouth and Abis mouth signaling data as claimed in claim 1, it is characterized in that: the user that calling/called business occurs in the high ferro private network short-message users of high-speed railway community is defined as highway or common railway user, and the user that calling/called business does not occur resides customer data base by high-speed railway and determines user type.
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| CN103841576B (en) * | 2012-11-20 | 2017-06-06 | 中国移动通信集团浙江有限公司 | High-speed railway user separation method, system and signaling data processing method and system |
| CN104427534B (en) * | 2013-09-06 | 2018-06-12 | 中国移动通信集团公司 | The soft detection method adopted of long term evolution and removable motion detection device |
| CN104581642A (en) * | 2013-10-10 | 2015-04-29 | 杭州华星创业通信技术股份有限公司 | Device for positioning railway cellphone user using signaling-based monitoring platform |
| CN103619036B (en) * | 2013-12-09 | 2017-03-08 | 中国联合网络通信集团有限公司 | A kind of method and apparatus with assessing for data acquisition |
| CN104735640B (en) * | 2013-12-19 | 2018-02-23 | 中国移动通信集团辽宁有限公司 | The speed of high velocity mobile users confirms system and method, switching method and RNC |
| CN106797612B (en) * | 2014-09-29 | 2020-02-14 | 华为技术有限公司 | Method for controlling user equipment to access high-speed mobile tool communication network |
| CN104955096B (en) * | 2015-06-19 | 2018-09-21 | 中国联合网络通信集团有限公司 | A kind of method and device of determining high ferro user |
| CN106817678B (en) * | 2015-12-01 | 2020-01-24 | 中国移动通信集团上海有限公司 | Method and device for processing terminal residing in high-speed rail private network |
| WO2017156759A1 (en) * | 2016-03-18 | 2017-09-21 | 华为技术有限公司 | User-equipment network-migration method and access-network device |
| CN107071740B (en) * | 2016-12-30 | 2020-04-28 | 广东海格怡创科技有限公司 | Method and system for detecting communication user on high-speed rail based on soft acquisition signaling |
| CN106792754B (en) * | 2016-12-30 | 2020-04-28 | 广东海格怡创科技有限公司 | Method and system for detecting communication user on high-speed rail |
| CN106851586B (en) * | 2017-01-19 | 2019-08-09 | 中国联合网络通信集团有限公司 | A kind of rail traffic user identification method, apparatus and system |
| CN108513310A (en) * | 2017-02-24 | 2018-09-07 | 中国移动通信集团福建有限公司 | Virtual road measuring method and device |
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| CN110139312B (en) * | 2018-02-02 | 2022-06-03 | 中国移动通信集团设计院有限公司 | Method, device, electronic equipment and storage medium for determining highway users |
| CN109756887B (en) * | 2018-12-28 | 2021-12-24 | 深圳市名通科技股份有限公司 | High-speed rail accompanying mobile terminal identification method and device and computer readable storage medium |
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