CN106209472A - A kind of broadband user's data mining and the method for early warning - Google Patents

A kind of broadband user's data mining and the method for early warning Download PDF

Info

Publication number
CN106209472A
CN106209472A CN201610592326.7A CN201610592326A CN106209472A CN 106209472 A CN106209472 A CN 106209472A CN 201610592326 A CN201610592326 A CN 201610592326A CN 106209472 A CN106209472 A CN 106209472A
Authority
CN
China
Prior art keywords
user
early warning
abnormal
data
analysis
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN201610592326.7A
Other languages
Chinese (zh)
Inventor
陈钊
鲁君之
张曦
郝岚
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Changsha Xiang Yi Telecom Technology Co Ltd
Original Assignee
Changsha Xiang Yi Telecom Technology Co Ltd
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Changsha Xiang Yi Telecom Technology Co Ltd filed Critical Changsha Xiang Yi Telecom Technology Co Ltd
Priority to CN201610592326.7A priority Critical patent/CN106209472A/en
Publication of CN106209472A publication Critical patent/CN106209472A/en
Pending legal-status Critical Current

Links

Classifications

    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L41/00Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
    • H04L41/14Network analysis or design
    • H04L41/142Network analysis or design using statistical or mathematical methods
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90Details of database functions independent of the retrieved data types
    • G06F16/95Retrieval from the web
    • G06F16/958Organisation or management of web site content, e.g. publishing, maintaining pages or automatic linking

Abstract

A kind of broadband user's data mining and the method for early warning, including data acquisition, data storage, data analysis, data mining and visual analyzing;The information produced during first surfing the Net broadband user carries out data acquisition, then the data collected carry out distributed decoding storage, then analyzes the data of storage in real time and calculated off line;Subsequently sort data into and add up for one or more in: customer complaint early warning, user behavior playback, equipment and the inside and outside operational analysis of regional analysis, business special project analysis and net, finally classification and the data added up are shown in the way of window on screen, it is provided that visual analyzing intuitively.Above-mentioned abnormal conditions can be processed before customer complaint by the present invention, and the online improving user is experienced, and reduces and complains, establishes good reputation.

Description

A kind of broadband user's data mining and the method for early warning
Technical field
The present invention relates to a kind of being carried out by the wideband data collected excavate and the method for early warning, be specifically related to one and pass through Gather each item data of consumer wideband, and carry out data classifying, statistics and analysis, thus find out and affect dictyosome on consumer wideband The reason tested also carries out early warning.
Background technology
Along with the covering comprehensively of telecom operators' deployment of broadband network, the continuous of universal and userbase of fiber optic network are expanded Greatly, because client's Slurry pump or network reason cause the online of customer complaint network slow, can not enter the situation of net, affect user's online Experience, cause new client to be developed slowly, occur that the phenomenon that frequent customer is run off occurs, owing to lacking the complaint analysis means of necessity, throw The difficulty telling process is high, and orientation problem inaccuracy complains Resolving probiems not in time.Have a strong impact on mobile broadband brand and mouth Upright stone tablet, hinders the business development of mobile broadband.
Additionally, along with network size is expanded rapidly, network carrying ability is by huge challenge, and what bandwidth operator existed asks Topic the most gradually comes out,
A. routine work lacks complaint diagnosis and user behavior playback means, it is impossible to by account replaying user history signaling and industry Business record, reproduces user and uses scene, and a large amount of complaint can only rely on investigation of visiting, and the complaint handling cycle is long, and locating accuracy is not Height, user satisfaction is relatively low;
B. report user's early warning means are lacked, it is impossible to the problem poor prior to customer complaint discovery client perception also carries out complaining in advance Alert, solve in time;
C. operational analysis means inside and outside operator broadband networks are lacked, it is difficult to analyze inside and outside the performance of all kinds of business and network for location poor Resource Server.
Existing bandwidth operator analyzes user behavior and the means of the problem of complaint, substantially rests on manual site's test Method, and the big data means of unused science, magnanimity solve problem.
So, how broadband network is carried out the assessment optimization of comprehensive science, finds that user throws by big data means Tell root and then Internet resources bottleneck carries out effective backstage technical support, promote access performance and the business matter of broadband network Amount, accomplishes customer complaint early warning simultaneously, reaches to complain prevention, reduction complaint handling duration, promote the purpose complaining index of correlation, This just the present invention need solve major issue.
Find that following patent and the present invention have a similarity by domestic retrieval:
Application No. 200810167858.1, the invention of entitled " monitoring method of a kind of wireless wideband user status and system " Disclosing monitoring method and the system of a kind of wireless wideband user status, the method includes: user terminal and portal server it Between send detection messages;User terminal and portal server determine user online status according to the reception state of detection messages;With Family terminal prompts the user with user online status.The monitoring method of the wireless wideband user status that this invention provides and system, logical Cross between user terminal and Portal server send detection messages to determine user online status, and user terminal to User points out user online status, convenient for users to use, improves the good experience of user.
Application No. 201410706925.8, entitled " a kind of PON fault diagnosis side towards home broadband business Method and device " a kind of PON method for diagnosing faults towards home broadband business of disclosure of the invention, according to fault diagnosis experience Configure the fault diagnosis flow scheme of each fault category;According to the fault category of user, select fault corresponding with described fault category Diagnostic process;Enter the fault diagnosis flow scheme of described selection, obtain this account according to described consumer wideband business account corresponding Facility information and business information, start each step performing in described fault diagnosis flow scheme successively;According to described fault diagnosis The diagnostic result of flow process obtains corresponding fault handling method in fault diagnosis knowledge base.The present invention is used to efficiently reduce The time of fault location, improve the efficiency of handling failure.This invention is also disclosed a kind of PON event towards home broadband business The barrier diagnostic equipment.
Although above-mentioned patent also has collection and the analysis of the data to consumer wideband, but its effect is not in finding out impact use Reason that family online is experienced also carries out early warning, thus improves broadband brand and public praise, promotes the business development of mobile broadband.Cause This, the method that above-mentioned patent is used is very different with the present invention.
Summary of the invention
The technical problem to be solved in the present invention is: at present telecom operators be difficult to the online to broadband user experience comprehensively, Accurately, understand timely so that owing to lacking the complaint analysis means of necessity, the difficulty of complaint handling is high, orientation problem Inaccuracy, complains Resolving probiems not in time, has had a strong impact on mobile broadband brand and public praise, and the business hindering broadband is sent out Exhibition.
Pin with the problems referred to above, the technical scheme that the present invention proposes is: a kind of broadband user's data mining and the method for early warning, The information produced during first surfing the Net broadband user carries out data acquisition, then the data collected are carried out distributed decoding deposits Then the data of storage are analyzed and calculated off line by storage in real time;Subsequently sort data into as customer complaint early warning, use One or more in family behavior playback, equipment and regional analysis, business special project analysis and the inside and outside operational analysis of net is added up, Finally classification and the data added up are shown in the way of window on screen, it is provided that visual analyzing intuitively.
Further, customer complaint early warning includes dialing authentication, equipment goes offline, number of terminals, user's DNS query, P2P flow One or more being scanned and adding up in amount and HTTP business, and to abnormal certification, abnormal go offline, abnormal terminals, exception One or more in DNS query, abnormal flow, abnormal HTTP business carries out early warning.
Further, can be to the abnormal certification number of times scanned, abnormal number of dropped calls, abnormal terminal number, different The HTTP business of normal DNS query success rate, abnormal uninterrupted and exception is ranked up and screens.
Further, described HTTP business includes HTTP success rate, HTTP speed and HTTP packet loss retransmission rate.
Further, user behavior playback includes that Radius dialing authentication flow process, User DN S process of analysis, user TCP believe Make in flow process, user's HTTP operation flow is one or more;Field when user uses is reproduced by the playback of above-mentioned signaling process Scape, the difficult complaint problem in location.
Further, Radius dialing authentication flow process includes scanning and there is fault due to the router of user, constantly to BRAS initiates the abnormal off-line that PPPOE conversation asks to cause, and scanning is due to link between customer router to BRAS Interrupt the abnormal off-line caused, thus the reason gone offline is carried out early warning accurately.
Further, equipment and regional analysis are equipment for surfing the net and the online of OLT, ONU, BRAS user to zones of different Port carry out classifying, statistics and analysis, find out equipment for surfing the net and the port that Network Abnormal easily occurs, and Network Abnormal The geographical position that equipment for surfing the net and port are distributed, thus region, equipment and the port of online is carried out early warning.
Further, the analysis of business special project is the flow for Web TV, playback rate, packet loss retransmits, card pauses in rate One or more carry out classifying, statistics and analysis, find out the data affecting Web TV play quality, thus to Web TV Play quality carry out early warning.
Further, when the card rate of pausing of Web TV is carried out early warning, it is to watch Web TV by scanning user While whether have an added flow business, and user's size of channel section when watching Web TV, thus find out impact The reason of card the rate of Web TV, carries out early warning to the card rate of pausing of Web TV accurately.
Further, the inside and outside operational analysis of net is the access to the video website in broadband network and/or gaming platform time One or more in number, Access Success Rate, total flow, network transmission speed carries out classifying, statistics and analysis;And to video net Stand and/or the IP address field of gaming platform and URL position, thus video website and/or gaming platform are carried out early warning.
The invention have the advantage that
1. user can be used the data in wide-band process to carry out omnibearing scanning, it is thus possible to find out user to use width by the present invention The abnormal certification that occurs during band, abnormal go offline, abnormal terminals, abnormal DNS query, abnormal flow, abnormal HTTP business Above-mentioned abnormal conditions can be processed before customer complaint by reason, and the online improving user is experienced, and reduces and complains, establishes good Good public praise.
2. by user account replaying user Radius dialing authentication flow process, User DN S process of analysis, user's TCP signaling Flow process, user's HTTP operation flow.Contain multiple crucial ring such as subscriber dialing certification, dns resolution, TCP link setup, http session Joint;Reproducing scene when user uses by signaling process playback, precise positioning difficulty complains problem, meets for quickly solving user To difficulty provide strong data support.
3. set up the analysis system of device-aware aspect: the user of different OLT, ONU, BRAS is analyzed, passes through account Number association, it is achieved distinct device, different port, any active ues in obstructed region carry out depth analysis;Realize distinct device dimension, The partial wideband number of users of zones of different dimension monitors in real time, and the equipment abnormal to large area user's perception and region are entered in time Row early warning, periodically exports analysis report.
4. pair network television quality is analyzed: from user account and the Web TV of television channel dimensional analysis user Perception, analyzes the dimension indexs such as the flow of Web TV, playback rate, packet loss re-transmission, card rate.Set up Web TV performance to comment Valency system.The user that simultaneously can pause Web TV card carries out early warning.The business mainly accessed user is identified and performance is divided Analysis, for poor resource in net, and the outer poor resource of net, all can extract in-problem IP address field, domain name and URL, instructs resource optimization and resource introducing outward in net.
5., in the inside and outside operational analysis of net, to the video website in broadband network, the access times of gaming platform, access into One or more in power, total flow, network transmission speed carries out classifying, statistics and analysis;And video website, game are put down The IP address field of platform and URL position, thus video website, gaming platform are carried out early warning.
Accompanying drawing explanation
Fig. 1 is the flow chart of the present invention.
Detailed description of the invention
Below in conjunction with embodiment and accompanying drawing, the present invention is done the description of a step:
Embodiment one
As it is shown in figure 1, be first that the information produced during broadband user's online is comprehensively scanned and data acquisition, example As: the information such as PPPOE, Radius, HTTP, DNS, TCP/IP that user surfs the Net are scanned.Again the data collected are entered Row distributed decoding storage, stores data on the server converging machine room.Then store converging on the server of machine room Data be transferred on the server of central machine room analyze in real time and calculated off line.
Analyze in real time and the result of calculated off line is to carry out classifying and adding up, by number in the present embodiment by the data collected According to being categorized as: customer complaint early warning, user behavior playback, equipment and the inside and outside business of regional analysis, business special project analysis and net are divided Analysis.Then the information in the project of classification is added up, finally classification and the data added up are shown in the way of window On screen, it is provided that visual analyzing intuitively.
Wherein customer complaint early warning include dialing authentication, equipment are gone offline, number of terminals, user's DNS query, P2P flow and One or more in HTTP business is scanned and adds up, and to abnormal certification, abnormal go offline, abnormal terminals, abnormal DNS look into One or more in inquiry, abnormal flow, abnormal HTTP business carries out early warning.
Particularly, the dialing certification in customer complaint early warning can will scanning after obtain user account, user's name, Equipment MAC, community, user place, user's contact method, the information such as bandwidth in broadband are added up.Equipment can will be swept in going offline Go offline when time started that goes offline of obtaining after retouching, the end time of going offline, total number of dropped calls, per hour average number of dropped calls, peak value The information such as number of times are added up.Number of terminals is the quantity that customer router accesses user, can be maximum whole by obtain after scanning The information such as terminal number, minimum terminal number, average terminal number are added up.
Can be by the DNS query number of times obtained after scanning, DNS query success rate, inquiry DNS service in user's DNS query The information such as the number of device are added up.Can be by the user's total flow obtained after scanning, P2P total flow, P2P stream in P2P flow The information such as the ratio that ratio that the ratio that accounts for of amount, P2P uplink traffic account for, P2P downlink traffic account for are added up.HTTP business includes HTTP success rate, HTTP speed and HTTP packet loss retransmission rate, can be by the online hours obtained after scanning, download in HTTP business Total flow, average download rate, peak value are downloaded the information such as total flow, HTTP success rate, HTTP packet loss retransmission rate and are added up.
Also by the abnormal certification number of times that will scan, abnormal number of dropped calls, abnormal in customer complaint early warning The HTTP business of terminal number, abnormal DNS query success rate, abnormal uninterrupted and exception is ranked up and screens, and Above-mentioned abnormal conditions can also be entered temporal screening.Temporal screening can be divided into: yesterday, today, nearly 3 days, nearly 7 My god, nearly 15 days etc..Such as: first all users scanned are screened total number of dropped calls of yesterday, more total number of dropped calls is carried out Sequence, then screens total number of dropped calls user more than 5, just can total for yesterday number of dropped calls user more than 5 all be listed, and Sorted by the number of times gone offline.
By the data scanning, adding up, analyze in above-mentioned customer complaint early warning, and data are reasonably screened Net or the slow user that surfs the Net is can not enter in the recent period with just can quickly find out after sequence.And combine the playback of follow-up user behavior, set The information such as standby and regional analysis, just can find out these users and can not enter net or slow reason of surfing the Net.It is thus possible to be user as soon as possible Solution problem, reduces the complaint of user, and the online improving user is experienced, and establishes good brand image, makes broadband services more Quickly development.
User behavior playback is the history signaling process that replaying user is reached the standard grade each time and rolled off the production line detailed, may be used to location and uses Family access phase produced problem, such as authentification failure reason, go offline reason;User bandwidth, online hours, place physics can be analyzed The information such as port.User behavior playback includes Radius dialing authentication flow process, User DN S process of analysis, user's TCP signaling flow One or more in journey, user's HTTP operation flow;Scene when user uses is reproduced by the playback of above-mentioned signaling process, fixed The difficult complaint problem in position.
Radius dialing authentication flow process includes scanning owing to the router of user exists fault, constantly initiates to BRAS PPPOE conversation asks the abnormal off-line caused, and scans owing between customer router to BRAS, link down causes Abnormal off-line.If the information scanned shows: the reason of disconnecting is that user asks, then it it is the router due to user Have that fault causes can not enter net.And if the information scanned shows: the reason of disconnecting is loss of carrier, then be by Net is can not enter in what line interruption caused.Thus the reason gone offline is carried out early warning accurately, can solve user as soon as possible can not The problem of online.
Equipment and regional analysis are the equipment for surfing the net of OLT, ONU, BRAS user to zones of different and the port of online enters Row classification, statistics and analysis, find out equipment for surfing the net and port Network Abnormal easily occur, and the equipment for surfing the net of Network Abnormal The geographical position being distributed with port, thus region, equipment and the port of online is carried out early warning.
By the information that scanning obtains, equipment and regional analysis can determine that user surfs the Net equipment, port and the user used The geographical position at place.Such as: can determine that user is that the router leading to what brand carries out surfing the Net, also whether can determine that user Not by router, but directly it is connected with computer and carries out surfing the Net;Online is to be caused by 80 ports or 443 ports time abnormal Etc..
Equipment and regional analysis can pass through account relating, it is achieved distinct device, different port, any active ues in obstructed region Carry out depth analysis.Realize distinct device dimension, the partial wideband number of users of zones of different dimension monitors, in real time to large area Equipment and region that user's perception is abnormal carry out early warning in time, periodically export analysis report.
Business special project analysis is the flow for Web TV, playback rate, packet loss retransmits, card pauses or many in rate Item carries out classifying, statistics and analysis, finds out the data affecting Web TV play quality, thus the play quality to Web TV Carry out early warning.When the card rate of pausing of Web TV is carried out early warning, it is to be while watching Web TV by scanning user No have added flow business, and user's size of channel section when watching Web TV, thus find out and affect Web TV The reason of card rate, accurately the card rate of pausing of Web TV is carried out early warning.Wherein added flow refers to that broadband is using net The flow that equipment other while network TV produces, such as, during viewing Web TV, carried out by same broadband the most simultaneously The online of computer and mobile phone.
Specifically, business special project analysis is that user is used Web TV, namely data during IPTV be scanned, Classification, statistics and analysis.User account that scanning can be obtained by business special project analysis, cell name, the television channel of viewing, Reproduction time, IPTV download total flow, the average slice size of IPTV, IPTV caching section number of times, added flow, IPTV card The information such as number, IPTV pause frequency carry out statistics and analysis.
The card that viewing Web TV causes pauses and is also possible to combine customer complaint early warning, user behavior playback, equipment and region The information scan in analysis, counted comes together to analyze, thus finds out viewing Web TV accurately and cause the reason of card.
The inside and outside operational analysis of net is to the video website in broadband network and/or the access times of gaming platform, accesses into One or more in power, total flow, network transmission speed carries out classifying, statistics and analysis;And to video website and/or trip IP address field and the URL of play platform position, thus video website and/or gaming platform are carried out early warning.
The inside and outside operational analysis of net mainly business inside and outside to net carries out DPI and identifies and analyze, can industry that quickly bit rates is poor Business IP address field and URL are detailed, introduce provide foundation for content resource optimization in net and the outer resource of net.The inside and outside operational analysis of net Web site name, Business Name, the number of times of access that scanning can be obtained, access successful number of times, the success rate of access, descending The information such as total flow, descending total flow, descending Mean Speed, up total flow, up total flow, up Mean Speed are united Meter is analyzed.
The information that scanning obtains also can be screened and sort by the inside and outside operational analysis of net, and wherein screening can be in time side Face is screened, it is also possible to screen in each project.It addition, the inside and outside operational analysis of net can also be by clicking on web site name Or the content in Business Name opens the IP address field of corresponding website and URL is detailed, for content resource optimization in net and Net outer resource and offer foundation is provided.
It will be apparent that on the premise of without departing from principle of the present invention, the some improvement made or modification are regarded as this The protection domain of invention.

Claims (10)

1. broadband user's data mining and the method for early warning, it is characterised in that produce during first broadband user being surfed the Net Information carry out data acquisition, then the data collected are carried out distributed decoding storage, then the data of storage are carried out reality Time analyze and calculated off line;
Subsequently sort data into and analyze into: customer complaint early warning, user behavior playback, equipment and regional analysis, business special project One or more in operational analysis inside and outside with net is added up, and finally classification and the data added up is shown in the way of window Show on screen, it is provided that visual analyzing intuitively.
A kind of broadband user's data mining the most according to claim 1 and the method for early warning, it is characterised in that customer complaint Early warning includes going offline dialing authentication, equipment, in number of terminals, user's DNS query, P2P flow and HTTP business one or many Be scanned and add up, and to abnormal certification, abnormal go offline, abnormal terminals, abnormal DNS query, abnormal flow, abnormal HTTP One or more in business carries out early warning.
A kind of broadband user's data mining the most according to claim 2 and the method for early warning, it is characterised in that can be to scanning The abnormal certification number of times arrived, abnormal number of dropped calls, abnormal terminal number, abnormal DNS query success rate, abnormal stream Amount size and abnormal HTTP business are ranked up and screen.
4. according to a kind of broadband user's data mining described in Claims 2 or 3 and the method for early warning, it is characterised in that described HTTP business includes HTTP success rate, HTTP speed and HTTP packet loss retransmission rate.
A kind of broadband user's data mining the most according to claim 1 and the method for early warning, it is characterised in that user behavior Playback includes in Radius dialing authentication flow process, User DN S process of analysis, user's TCP signaling process, user's HTTP operation flow One or more, by above-mentioned signaling process playback reproduce user use time scene.
A kind of broadband user's data mining the most according to claim 5 and the method for early warning, it is characterised in that Radius dials Number identifying procedure includes scanning owing to the router of user exists fault, constantly initiates PPPOE conversation to BRAS and asks derivation The abnormal off-line caused, and the abnormal off-line that scanning causes due to link down between customer router to BRAS, thus to falling The reason of line carries out early warning accurately.
A kind of broadband user's data mining the most according to claim 1 and the method for early warning, it is characterised in that equipment and district Domain analysis is the equipment for surfing the net of OLT, ONU, BRAS user to zones of different and the port of online is classified, adds up and divided Analysis, find out equipment for surfing the net and port Network Abnormal easily occur, and the equipment for surfing the net of Network Abnormal and port are distributed Geographical position, thus region, equipment and the port of online is carried out early warning.
A kind of broadband user's data mining the most according to claim 1 and the method for early warning, it is characterised in that business is special Analysis is that one or more the carrying out in the flow for Web TV, playback rate, packet loss re-transmission, card rate is classified, adds up And analysis, find out the data affecting Web TV play quality, thus the play quality of Web TV is carried out early warning.
A kind of broadband user's data mining the most according to claim 8 and the method for early warning, it is characterised in that to network When the card rate of pausing of TV carries out early warning, it is by whether scanning user has added flow business while watching Web TV, And user's size of channel section when watching Web TV, thus find out the reason of card the rate affecting Web TV, accurate The true card rate of pausing to Web TV carries out early warning.
A kind of broadband user's data mining the most according to claim 1 and the method for early warning, it is characterised in that net is inside and outside Operational analysis is to the video website in broadband network and/or the access times of gaming platform, Access Success Rate, total flow, net One or more in network transfer rate carries out classifying, statistics and analysis;And the IP address to video website and/or gaming platform Section and URL position, thus video website and/or gaming platform are carried out early warning.
CN201610592326.7A 2016-07-26 2016-07-26 A kind of broadband user's data mining and the method for early warning Pending CN106209472A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201610592326.7A CN106209472A (en) 2016-07-26 2016-07-26 A kind of broadband user's data mining and the method for early warning

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201610592326.7A CN106209472A (en) 2016-07-26 2016-07-26 A kind of broadband user's data mining and the method for early warning

Publications (1)

Publication Number Publication Date
CN106209472A true CN106209472A (en) 2016-12-07

Family

ID=57495174

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201610592326.7A Pending CN106209472A (en) 2016-07-26 2016-07-26 A kind of broadband user's data mining and the method for early warning

Country Status (1)

Country Link
CN (1) CN106209472A (en)

Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106649069A (en) * 2016-12-28 2017-05-10 Tcl集团股份有限公司 User behavior statistical method and system
CN110019378A (en) * 2017-12-22 2019-07-16 广州帷策智能科技有限公司 The method of 0 flow analysis of home broadband control based on big data
CN110278269A (en) * 2019-06-21 2019-09-24 广州小鹏汽车科技有限公司 A kind of user behavior recording method and device
CN111917597A (en) * 2019-05-08 2020-11-10 中国移动通信集团福建有限公司 Broadband service monitoring method and equipment
CN112203166A (en) * 2020-09-09 2021-01-08 中盈优创资讯科技有限公司 Multi-model user health record scoring method and device
CN115913950A (en) * 2022-10-21 2023-04-04 浪潮通信信息系统有限公司 Home-wide-oriented batch user early warning analysis method and system

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102291264A (en) * 2011-09-03 2011-12-21 四川公用信息产业有限责任公司 broadband service guarantee support system
CN102447572A (en) * 2010-10-12 2012-05-09 中国电信股份有限公司 Internet-surfing assistant system and method for assisting client side user in solving encountered faults
CN103269443A (en) * 2013-05-22 2013-08-28 广州威信信息科技发展有限公司 General system platform of new media tri-network integration value added service of digital television
CN105471620A (en) * 2015-11-12 2016-04-06 广州市柏特科技有限公司 Broadband intelligent terminal embedded network analysis and diagnosis device and method thereof

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102447572A (en) * 2010-10-12 2012-05-09 中国电信股份有限公司 Internet-surfing assistant system and method for assisting client side user in solving encountered faults
CN102291264A (en) * 2011-09-03 2011-12-21 四川公用信息产业有限责任公司 broadband service guarantee support system
CN103269443A (en) * 2013-05-22 2013-08-28 广州威信信息科技发展有限公司 General system platform of new media tri-network integration value added service of digital television
CN105471620A (en) * 2015-11-12 2016-04-06 广州市柏特科技有限公司 Broadband intelligent terminal embedded network analysis and diagnosis device and method thereof

Cited By (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106649069A (en) * 2016-12-28 2017-05-10 Tcl集团股份有限公司 User behavior statistical method and system
CN106649069B (en) * 2016-12-28 2019-12-13 Tcl集团股份有限公司 User behavior statistical method and system
CN110019378A (en) * 2017-12-22 2019-07-16 广州帷策智能科技有限公司 The method of 0 flow analysis of home broadband control based on big data
CN111917597A (en) * 2019-05-08 2020-11-10 中国移动通信集团福建有限公司 Broadband service monitoring method and equipment
CN111917597B (en) * 2019-05-08 2022-02-22 中国移动通信集团福建有限公司 Broadband service monitoring method and equipment
CN110278269A (en) * 2019-06-21 2019-09-24 广州小鹏汽车科技有限公司 A kind of user behavior recording method and device
CN110278269B (en) * 2019-06-21 2022-03-15 广州小鹏汽车科技有限公司 User behavior recording method and device
CN112203166A (en) * 2020-09-09 2021-01-08 中盈优创资讯科技有限公司 Multi-model user health record scoring method and device
CN112203166B (en) * 2020-09-09 2023-03-14 中盈优创资讯科技有限公司 Multi-model user health record scoring method and device
CN115913950A (en) * 2022-10-21 2023-04-04 浪潮通信信息系统有限公司 Home-wide-oriented batch user early warning analysis method and system

Similar Documents

Publication Publication Date Title
CN106209472A (en) A kind of broadband user's data mining and the method for early warning
US7489641B2 (en) Data connection quality analysis apparatus and methods
US7904080B2 (en) Mobile communications network monitoring systems
US9143962B2 (en) Method and apparatus to analyze a wireless information delivery system
CN107277160A (en) A kind of content delivery network node switching method and device
WO2016187449A1 (en) Method and apparatus to determine network quality
JP2009065277A (en) Information collecting device, communication abnormality detector, and computer program
Seufert et al. Quicker or not?-an empirical analysis of quic vs tcp for video streaming qoe provisioning
CN1897548A (en) Method and system correlating different calling record to high grade collecting view
CN108270600B (en) Method for processing malicious attack traffic and related server
CN105306246B (en) A kind of method, apparatus and server of the complaint of automatic-answering back device network class
CN111404762B (en) User video quality difference positioning method and device
CN101340312A (en) Network quality monitoring method and system of internet data center
CN110659481A (en) Vulnerability scanning method based on agent
CN107846310B (en) IPTV video quality difference linkage dial testing delimitation method based on client resource tree
CN110475161B (en) Automatic fault positioning method and system for IPTV service live link
CN102595467B (en) Data acquisition method and data acquisition device
CN102123092B (en) A kind of multicast performance analytical method and system
CN111130948A (en) Network quality detection method and device
KR101338485B1 (en) Quality of each service management Method and system in total IP network
KR20040099050A (en) Method and System for Realtime Monitoring of Wireless Packet Data Call
Rea et al. Italian QoS Monitoring network: impact on SLA control
KR101619283B1 (en) A method for analyzing trouble logs of the wireless VoIP terminal and a system using the same
CN103095515B (en) A kind of information gathering, analytic method, device and Information Acquisition System
CN107317692A (en) Failure report method and device

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
RJ01 Rejection of invention patent application after publication

Application publication date: 20161207

RJ01 Rejection of invention patent application after publication