CN103618619B - IMS network media data intelligent nerve cell capturing method and system - Google Patents
IMS network media data intelligent nerve cell capturing method and system Download PDFInfo
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- CN103618619B CN103618619B CN201310577050.1A CN201310577050A CN103618619B CN 103618619 B CN103618619 B CN 103618619B CN 201310577050 A CN201310577050 A CN 201310577050A CN 103618619 B CN103618619 B CN 103618619B
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Abstract
The invention discloses an IMS network media data intelligent nerve cell capturing method and system. The system comprises captured nerve cell collecting points and an intelligent nerve center system. The captured nerve cell collecting points are deployed at MGW media data gateways of all cities of the IMS network and responsible for intelligently capturing and analyzing media data. The intelligent nerve center system is deployed in a center service station and responsible for storing data captured at the captured nerve cell collecting points and intelligently controlling all the captured nerve cell collecting points to capture the media data according to a rule. According to the IMS network media data intelligent nerve cell capturing method and system, a triggering mechanism similar to the human nervous system is adopted, the media data with the quality problem in the IMS network are intelligently determined, the media data are selectively captured in real time, and thus, storage space of hardware can be effectively saved, and the media data with the problem can be effectively stored so that monitoring and maintenance personnel of the IMS network can carry out playback and make an analysis.
Description
Technical field
The present invention relates to communications network monitors field, more particularly to a kind of IMS network media data intelligent nerve cell capture
Method and system.
Background technology
In order to the present invention is more clearly understood, the technical term that may be used in this specification is enumerated first：
IMS:IP Multimedia Subsystem IP Multimedia System
QoS:Quality of Service service quality
RTP:Real-time Transport Protocol RTPs
RTCP：Real-time Transport Control Protocol RTCP Real-time Transport Control Protocols
Latency：Time delay
Jitter：Shake
PacketLoss:Packet loss
R-Factor:The R factors
MOS:The average suggestion values of Mean Opinion Score
Based on the IMS network of ALL IP technologies, a kind of industry that abundant multimedia service can be provided is provided for operator
Business platform.Various places operator is actively promoting the deployment of IMS network at present.With the increase of IMS network number of users and many
The increase of media services species, the media data RTP/RTCP flows in IMS network are increasing.Media quality in IMS network
Becoming network maintenance staff needs issues that need special attention.
Monitoring to IMS network media quality, needs first to gather the media data in network, then to media RTP/RTCP
Decoding data is analyzed and processed, and calculates media quality parameter Latency, and PacketLoss, Jitter finally calculate R-
Factor and corresponding MOS values.But due to the media data flow in IMS network it is very big, so the whole media numbers of collection
According to, it would be desirable to very huge hardware store resource.
The acquisition scheme that existing IMS media qualities monitoring system is generally adopted is that, when media flow is less, full dose is adopted
Collection analytical data；When flow is larger, only gather and analysis center city, or the MGW WMG data paid close attention to；When
Flow is very big, it is impossible to when storing, and only full dose data are analyzed with process, calculates media quality parameter, does not store initial data.
When existing flow is less, the method for full dose collection storage media data, it is impossible to adapt to media flow and quickly increase
Long trend.Each province's IMS network is in the period for developing rapidly now, and the hardware configuration of storage media data must endure as future
The flow of 2 years increases to be needed, be in this way still accomplished by larger hardware configuration memory space.
Only analysis full dose data, do not store initial data, or only analyze and storage center city, or emphasis gateway data
Method so that original media data cannot be played back.When user occurs media quality to be complained, attendant needs the matchmaker of history
Volume data is played back, and restores the contextual data that problem occurs, and audition speech data, the subjectivity for carrying out voice medium quality are sentenced
It is disconnected, and analyze with the media quality parameter for calculating.And when in this way, this subproblem data is possible to not to be had
Have and stored.
The content of the invention
In view of problems of the prior art, present invention aim at provide a kind of IMS network media data intelligence god
Jing units capturing method and system, using the same trigger mechanism of similar human nervous system, occurs in the judgement IMS network of intelligence
The media data of quality problems, selective captured in real time media data so can be effectively saved hardware store
Space, it is also ensured that effectively store problematic media data, for IMS network monitoring and maintenance personnel's recovering and analysis.
According to an aspect of the invention, there is provided a kind of IMS network media data intelligent nerve cell capture systems, which is special
Levy is to include：
Capture neuron collection point, which is deployed in the MGW media data gateways of the prefectures and cities of IMS network, is responsible for media
The intelligence capture of data and analyzing and processing;
Intelligent central nervous system, which is deployed in service center, is responsible for each capture neuron collection point capture of storage
Data, Based Intelligent Control respectively capture neuron collection point by triggering rule capture media data.
Preferably, the capture neuron collection point includes data processing trapping module and the regular memory module of triggering, respectively
It is after the capture neuron collection point of districts and cities gathers the RTP/RTCP data of each WMG, in data processing trapping module, right
Data carry out real-time Decoding Analysis process, calculate the mass parameter of each media business, while extracting this business
Media characteristic information, with media quality parameter composition media quality feature record MQCR；It is described to capture touching for neuron collection point
The triggering rule that the intelligent central nervous system that is stored with sending out regular memory module is periodically sended over, these rules are used as described
The memory body of capture neuron collection point is stored and is updated, and referred to as triggers regular memory body TRRC.
Preferably, in initial launch, intelligent central nervous system does not also send over TRRC, the capture nerve to system
After first collection point analyzes MQCR, the intelligent central nervous system is sent to first, this neuron collection point is then inquired about
TRRC, if do not inquired, does not process；If inquired, match with the rule of TRRC, the match is successful, then trigger
Capturing function, the media data of this business is captured and stored, and with the TRRC composition capture media information bags for matching, is sent out
It is sent to the intelligent central nervous system.
Preferably, the intelligent central nervous system includes initial data library module, alarm module, regular intellectual analysis mould
Block and triggering rule configuration module；
The triggering rule configuration module is used for IMS network monitoring and maintenance personnel depaly basis triggering rule；
The regular intelligent analysis module is for the MQCR that sends over the capture neuron collection point and the base
Plinth triggering rule matches, if meeting rule, carries out Intelligent statistical analysis to this part MQCR, extracts what is wherein repeatedly occurred
Media characteristic, memory body TRRC regular with the multiple triggerings of basis triggering rule composition, and the TRRC is set according to attendant
The fixed time cycle is sent in each capture neuron collection point；
The initial data library module is used for storing the media information bag that the capture neuron collection point of various places sends；
The alarm module is for according to the TRRC for receiving, real-time triggering alarm email is sent to IMS network and safeguards people
Member.
According to a further aspect in the invention, there is provided a kind of IMS network media data intelligent nerve cell catching method, which is special
Levy and be：
In the MGW media datas gateway deployment capture neuron collection point of the prefectures and cities of IMS network, it is responsible for media data
Intelligence capture and analyze and process;
Intelligent central nervous system is disposed in service center, is responsible for the number of each capture neuron collection point capture of storage
According to Based Intelligent Control respectively captures neuron collection point by rule capture media data.
Preferably, the capture neuron collection point includes data processing trapping module and the regular memory module of triggering, respectively
It is after the capture neuron collection point of districts and cities gathers the RTP/RTCP data of each WMG, in data processing trapping module, right
Data carry out real-time Decoding Analysis process, calculate the mass parameter of each media business, while extracting this business
Media characteristic information, with media quality parameter composition media quality feature record MQCR；It is described to capture touching for neuron collection point
The triggering rule that the intelligent central nervous system that is stored with sending out regular memory module is periodically sended over, these rules are used as described
The memory body of capture neuron collection point is stored and is updated, and referred to as triggers regular memory body TRRC.
Preferably, in initial launch, intelligent central nervous system does not also send over TRRC, the capture nerve to system
After first collection point analyzes MQCR, the intelligent central nervous system is sent to first, then inquire about in neuron collection point
TRRC, if do not inquired, does not process；If inquired, match with the rule of TRRC, the match is successful, then trigger
Capturing function, the media data of this business is captured and stored, and with the TRRC composition capture media information bags for matching, is sent out
It is sent to the intelligent central nervous system.
Preferably, the intelligent central nervous system includes initial data library module, alarm module, regular intellectual analysis mould
Block and triggering rule configuration module；
, first in the triggering rule configuration module, the triggering of configuration basis is regular for IMS network monitoring and maintenance personnel；It is described
The MQCR that the capture neuron collection point is sended over by intelligent central nervous system in regular intelligent analysis module with base
Plinth triggering rule matches, if meeting rule, will carry out Intelligent statistical analysis to this part MQCR, and extract and wherein repeatedly occur
Media characteristic, memory body TRRCs regular with the multiple triggerings of basis triggering rule composition, then, the intelligent central nervous system
The TRRC was sent in each capture neuron collection point according to the time cycle that attendant sets.
Preferably, the capture neuron collection point of various places is generated according to the TRRC for constantly updating, triggering capture media data
Media information bag, after being sent to intelligent central nervous system, whole media information bag is stored by the intelligent central nervous system
To in initial data library module, while TRRC is sent to alarm module, triggering alarm email is sent to IMS network maintenance in real time
Personnel.
Description of the drawings
Fig. 1 is exemplified with a kind of structural representation of IMS network media data intelligent nerve cell capture systems of the embodiment of the present invention
Figure；
Fig. 2 captures the structural representation of neuron collection point exemplified with the embodiment of the present invention；
The data structure schematic diagram that Fig. 3 is recorded exemplified with embodiment of the present invention media quality feature；
Structural representations of the Fig. 4 exemplified with embodiment of the present invention intelligence central nervous system；
Fig. 5 triggers the structural representation of regular memory body TRRC exemplified with the embodiment of the present invention.
Specific embodiment
It is understandable for becoming apparent from the above objects, features and advantages of the present invention, below in conjunction with the accompanying drawings and specific embodiment party
The present invention is further detailed explanation for formula.
Fig. 1 is exemplified with a kind of structural representation of IMS network media data intelligent nerve cell capture systems of the embodiment of the present invention
Figure.
As shown in figure 1, the system includes：
Capture neuron collection point, which is deployed in the MGW media data gateways of the prefectures and cities of IMS network, is responsible for media
The intelligence capture of data and analyzing and processing;
Intelligent central nervous system, which is deployed in service center, is responsible for each capture neuron collection point capture of storage
Data, Based Intelligent Control respectively capture neuron collection point by rule capture media data.
Fig. 2 captures the structural representation of neuron collection point exemplified with the embodiment of the present invention.
As shown in Fig. 2 the capture neuron collection point includes data processing trapping module and the regular memory module of triggering.
After the capture neuron collection point of prefectures and cities gathers the RTP/RTCP data of each WMG, capture in data processing
In module, data are carried out with real-time Decoding Analysis process, calculate each media business mass parameter Latency,
Jitter, PacketLoss and MOS value, while extract the time of this business, Subscriber Number, type of service, media coding
The media characteristic informations such as type, with media quality parameter composition media quality feature record Media quality
Characteristic record (MQCR), its data structure are as shown in Figure 3.
The intelligent central nervous system that is stored with the triggering rule memory module of the capture neuron collection point is periodically sent out
The triggering rule brought, these rules are stored and are updated as the memory body of the capture neuron collection point, referred to as
Regular memory body Trigger rule remember cell (TRRC) of triggering.
In initial launch, intelligent central nervous system does not also send over TRRC to system.The capture neuron collection
After point analysiss go out MQCR, the intelligent central nervous system is sent to first, the TRRC for then inquiring about in neuron collection point, such as
Fruit does not inquire, then do not process；If inquired, match with the rule of TRRC, the match is successful, then triggering capture work(
Can, the media data of this business is captured and stored, the TRRC composition capture media information bags with matching are sent to institute
State intelligent central nervous system.
The intelligent central nervous system is by initial data library module, alarm module, regular intelligent analysis module, trigger gauge
Then configuration module is constituted, and its structure chart is as shown in Figure 4.
, firstly the need of in the triggering rule configuration module, the triggering of configuration basis is regular for IMS network monitoring and maintenance personnel,
Such as PacketLoss>1%, MOS<3.5.Attendant can change or set multigroup basis triggering rule according to monitoring requirements.
The MQCR that the capture neuron collection point is sended over by the intelligent central nervous system is in regular intelligent analysis module
Match with basis triggering rule, if meeting rule, Intelligent statistical analysis will be carried out to this part MQCR, and be extracted wherein multiple
The media characteristics such as the business hours of appearance, Subscriber Number, type of service, media coding type are more with basis triggering rule composition
Individual triggering rule memory body TRRC, they represent that media quality meets the capture demand of attendant under this rule, it should
Triggering capture process.Then, the TRRC is sent out by the intelligent central nervous system according to the time cycle that attendant sets
It is sent in each capture neuron collection point.The data structure of TRRC is as shown in Figure 5.
The capture neuron collection point of various places generates media letter according to the TRRC for constantly updating, triggering capture media data
Breath bag, after being sent to intelligent central nervous system, the storage of whole media information bag is arrived original by the intelligent central nervous system
In DBM, while TRRC is sent to alarm module, triggering alarm email is sent to IMS network attendant in real time.
Attendant can inquire about in initial data library module in time and play back the media quality in audition initial data, with TRRC
Parameter analyzes.
Exemplified with the present invention, those skilled in the art are it is clear that the present invention includes phase to angle from system structure above
The method embodiment answered, its idiographic flow can apparently be known based on above-mentioned embodiment, no longer be repeated here
Repeat.
By the present invention, i.e. not full dose gathered data, also not part gathered data, and using similar human nervous system one
The mechanism of sample, disposes scattered neuron collection point in a network, in central server, the similar nerve centre effect of deployment
The cental system of Data Analysis Services and neuron control, with a kind of neural trigger mechanism, intelligently judges and captures generation matter
The media data of amount problem, is captured and stored the data that this part needs subsequent playback to analyze in real time.Solve media data
Storage and the larger contradictory problems of necessary hardware memory space, there is provided there are quality problems in a kind of being accurately captured and stored
The method and system of media data.
It is more than the detailed description carried out by the preferred embodiments of the present invention, but one of ordinary skill in the art should anticipates
Know, within the scope of the present invention, and guided by the spirit, various improvement, addition and replacement are all possible, such as using can be real
The algorithm of existing functional purpose of the same race, using different programming languages（Such as C, C++, Java etc.）Realize etc..These are all in the present invention
The protection domain that limited of claim in.
Claims (7)
1. a kind of IMS network media data intelligent nerve cell capture systems, it is characterised in that include：Capture neuron collection point,
Which is deployed in the MGW media data gateways of the prefectures and cities of IMS network, is responsible for the intelligence capture to media data and analyzes and processes；
Intelligent central nervous system, which is deployed in service center, is responsible for the data of each capture neuron collection point capture of storage, intelligence
Each capture neuron collection point can be controlled by rule capture media data；
The capture neuron collection point includes data processing trapping module and the regular memory module of triggering, the capture god of prefectures and cities
After the RTP/RTCP data of each WMG are gathered Jing first collection point, in data processing trapping module, data are carried out in real time
Decoding Analysis process, calculate the mass parameter of each media business, while extract the media characteristic information of this business,
With media quality parameter composition media quality feature record MQCR；The triggering rule memory module of the capture neuron collection point
In be stored with the triggering rule that intelligent central nervous system periodically sends over, these rules are used as the capture neuron collection
The memory body of point is stored and is updated, and referred to as triggers regular memory body TRRC.
2. the system as claimed in claim 1, it is characterised in that：, in initial launch, intelligent central nervous system is also not for system
TRRC is sended over, after the capture neuron collection point analyzes MQCR, the intelligent central nervous system is sent to first,
Then the TRRC for inquiring about in neuron collection point, if do not inquired, does not process；Rule if inquired, with TRRC
Then match, the match is successful, then trigger capturing function, the media data of this business is captured and stored, and match
TRRC composition capture media information bags, are sent to the intelligent central nervous system.
3. the system as claimed in claim 1, it is characterised in that：The intelligent central nervous system includes raw data base mould
Block, alarm module, regular intelligent analysis module and triggering rule configuration module；The triggering rule configuration module is used for IMS nets
Network monitoring and maintenance personnel depaly basis triggering rule；The regular intelligent analysis module is for by the capture neuron collection point
The MQCR for sending over is matched with the basis triggering rule, if meeting rule, carries out Intelligent statistical to this part MQCR
Analysis, extracts the media characteristic for wherein repeatedly occurring, memory body TRRC regular with the multiple triggerings of basis triggering rule composition, and will
The TRRC was sent in each capture neuron collection point according to the time cycle that attendant sets；The raw data base mould
Block is used for storing the media information bag that the capture neuron collection point of various places sends；The alarm module is received for basis
TRRC, triggers alarm email in real time and is sent to IMS network attendant.
4. a kind of IMS network media data intelligent nerve cell catching method, it is characterised in that：In the MGW of the prefectures and cities of IMS network
Media data gateway deployment capture neuron collection point, is responsible for the intelligence capture to media data and analyzes and processes；It is genuinely convinced in
The intelligent central nervous system of deployment in business station, is responsible for the data of each capture neuron collection point capture of storage, and Based Intelligent Control is respectively caught
Neuron collection point is obtained by rule capture media data；
The capture neuron collection point includes data processing trapping module and the regular memory module of triggering, the capture god of prefectures and cities
After the RTP/RTCP data of each WMG are gathered Jing first collection point, in data processing trapping module, data are carried out in real time
Decoding Analysis process, calculate the mass parameter of each media business, while extract the media characteristic information of this business,
With media quality parameter composition media quality feature record MQCR；The triggering rule memory module of the capture neuron collection point
In be stored with the triggering rule that intelligent central nervous system periodically sends over, these rules are used as the capture neuron collection
The memory body of point is stored and is updated, and referred to as triggers regular memory body TRRC.
5. method as claimed in claim 4, it is characterised in that：, in initial launch, intelligent central nervous system is also not for system
TRRC is sended over, after the capture neuron collection point analyzes MQCR, the intelligent central nervous system is sent to first,
Then the TRRC for inquiring about in neuron collection point, if do not inquired, does not process；Rule if inquired, with TRRC
Then match, the match is successful, then trigger capturing function, the media data of this business is captured and stored, and match
TRRC composition capture media information bags, are sent to the intelligent central nervous system.
6. method as claimed in claim 4, it is characterised in that：The intelligent central nervous system includes raw data base mould
Block, alarm module, regular intelligent analysis module and triggering rule configuration module；IMS network monitoring and maintenance personnel are first described
In triggering rule configuration module, configuration basis triggering rule；The capture neuron is gathered by the intelligent central nervous system
The MQCR that point is sended over is matched with basis triggering rule in regular intelligent analysis module, if meeting rule, will be to this
Part MQCR carries out Intelligent statistical analysis, extracts the media characteristic for wherein repeatedly occurring, multiple with basis triggering rule composition to touch
Regular memory body TRRC is sent out, then, week time that the TRRC is set by the intelligent central nervous system according to attendant
Phase is sent in each capture neuron collection point.
7. method as claimed in claim 6, it is characterised in that：The capture neuron collection point of various places is according to continuous renewal
TRRC, triggering capture media data, generates media information bag, after being sent to intelligent central nervous system, in the intelligence nerve
Pivot system stores whole media information bag in initial data library module, while TRRC is sent to alarm module, touches in real time
Send out alarm email and be sent to IMS network attendant.
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| CN201312319Y (en) * | 2008-09-10 | 2009-09-16 | 俞惟铨 | Wired network monitoring device |
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| CN102111453A (en) * | 2011-03-04 | 2011-06-29 | 创博亚太科技（山东）有限公司 | Method and system for extracting Internet user network behaviors |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| EP1875719B1 (en) * | 2005-04-26 | 2017-09-20 | Telefonaktiebolaget LM Ericsson (publ) | A method and arrangement for providing context information |
| US8254268B2 (en) * | 2008-09-29 | 2012-08-28 | At&T Intellectual Property I, L.P. | Methods and apparatus to perform quality testing in internet protocol multimedia subsystem based communication systems |
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Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1816072A (en) * | 2005-02-06 | 2006-08-09 | 华为技术有限公司 | Method and system for realizing statistics of telephone traffic |
| CN1960292A (en) * | 2005-10-31 | 2007-05-09 | 华为技术有限公司 | Monitoring method, as well as device and system for collecting monitored data |
| CN201312319Y (en) * | 2008-09-10 | 2009-09-16 | 俞惟铨 | Wired network monitoring device |
| CN101610169A (en) * | 2009-07-24 | 2009-12-23 | 成都思维世纪科技有限责任公司 | Internet multimedia content monitoring method and device thereof |
| CN102111453A (en) * | 2011-03-04 | 2011-06-29 | 创博亚太科技（山东）有限公司 | Method and system for extracting Internet user network behaviors |
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