CN112350860A - System and method for judging user fault recovery condition - Google Patents
System and method for judging user fault recovery condition Download PDFInfo
- Publication number
- CN112350860A CN112350860A CN202011176798.7A CN202011176798A CN112350860A CN 112350860 A CN112350860 A CN 112350860A CN 202011176798 A CN202011176798 A CN 202011176798A CN 112350860 A CN112350860 A CN 112350860A
- Authority
- CN
- China
- Prior art keywords
- service
- user
- fault recovery
- voice
- classification
- 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
Links
Images
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/06—Management of faults, events, alarms or notifications
- H04L41/0631—Management of faults, events, alarms or notifications using root cause analysis; using analysis of correlation between notifications, alarms or events based on decision criteria, e.g. hierarchy, tree or time analysis
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/06—Management of faults, events, alarms or notifications
- H04L41/0654—Management of faults, events, alarms or notifications using network fault recovery
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/06—Management of faults, events, alarms or notifications
- H04L41/069—Management of faults, events, alarms or notifications using logs of notifications; Post-processing of notifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/50—Network service management, e.g. ensuring proper service fulfilment according to agreements
- H04L41/5061—Network service management, e.g. ensuring proper service fulfilment according to agreements characterised by the interaction between service providers and their network customers, e.g. customer relationship management
- H04L41/5074—Handling of user complaints or trouble tickets
Landscapes
- Engineering & Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Business, Economics & Management (AREA)
- General Business, Economics & Management (AREA)
- Telephonic Communication Services (AREA)
Abstract
The invention provides a system and a method for judging user fault recovery conditions, wherein the system comprises: the acquisition unit is used for acquiring a perception index data set of a user from a service signaling ticket; the processing unit is used for analyzing the internet access service and voice service processes of the user to form a judgment classification model of service fault recovery conditions; the judging unit is used for regularly judging the fault recovery conditions of the user internet service and the voice service according to the perception index data set of the user and the judgment classification model of the service fault recovery condition to generate a fault recovery diagnosis log; and the output unit is used for outputting the fault recovery diagnosis log. The customer service staff can visually see the service type, the check point, the check item and the check result of the user according to the fault recovery diagnosis log, and further identify the unrecovered fault point.
Description
Technical Field
The present invention relates to the field of mobile communications technologies, and in particular, to a system and a method for determining a user failure recovery condition.
Background
With the rapid development of communication technology and mobile internet, mobile phones and related applications have penetrated into every person's daily life. The high-speed growth of the number of users and the sudden increase of the amount of traffic cause a great impact on the communication network. This is accompanied by a decrease in user experience and an increase in customer complaints, as well as a large number of repeat complaints and lag complaints.
Because of the data delay problem of each information system and the lack of effective integration and recovery ports, the information of the network port and the customer service port is asymmetric, and customer service personnel can not accurately inform the customer complaint fault cause point when facing the customer complaint; due to the lack of active judgment and check on fault point recovery, partial repeated complaints and delayed complaints cannot be timely and accurately informed to users even if the fault is recovered.
Therefore, the existing system has the following problems: (1) the data are dispersed and fragmented, effective integration is lacked, the data volume of voice call tickets, internet signaling, user terminals, user package information and the like is large, indexes are dispersed, and index extraction and induction are not performed according to fault check points. (2) There is a lack of active inspection and judgment of the service failure recovery situation. The existing system knows that the fault is recovered through fault alarm recovery or fault work order reporting, the alarm rarely informs customer service, and the fault work order reporting is delayed for a long time. Due to the lack of an active judgment mechanism, whether a fault service (a voice service and a mobile phone internet service problem) is accurately recovered or not and a fault recovery time point cannot be accurately positioned. (3) The service inspection log without faults, the existing system has no detailed inspection log, and the cause point of the service fault (unrecovered fault) can not be positioned.
Disclosure of Invention
In view of this, the embodiments of the present application provide a system and a method for determining a user fault recovery condition.
In a first aspect, the present invention provides a system for determining a user fault recovery condition, including:
the acquisition unit is used for acquiring a perception index data set of a user from a service signaling ticket;
the processing unit is used for analyzing the internet access service and voice service processes of the user to form a judgment classification model of service fault recovery conditions;
the judging unit is used for regularly judging the fault recovery conditions of the user internet service and the voice service according to the perception index data set of the user and the judgment classification model of the service fault recovery condition to generate a fault recovery diagnosis log;
and the output unit is used for outputting the fault recovery diagnosis log.
Optionally, the acquisition unit is specifically configured to:
and acquiring a perception index data set of a user from a service signaling bill at regular time from two dimensions of an internet service and a voice service, and storing the index data set into an Hbase database.
Optionally, the processing unit is further configured to:
and determining a key index and an index threshold value of each classification in the classification model to form a judgment basis of the user service fault recovery condition.
Optionally, the processing unit is specifically configured to:
setting three judgment classifications for the user internet service comprises the following steps: the internet access service is normal, the perception of the internet access service is poor, and the internet access service cannot be judged;
setting three decision classifications for the voice traffic includes: the voice service is normal, the voice service is abnormal, and the voice service cannot be judged.
Optionally, the sub-classification of the normal internet access service includes: the internet can be accessed, and the internet access speed is normal;
the sub-classification of the internet service perception difference comprises the following steps: the network access service falls back to 2G, the terminal is abnormal, the service is abnormal and the speed is abnormal;
the sub-classifications that cannot be determined include: no signaling record, small traffic and few signaling records.
Optionally, the determining unit is specifically configured to:
judging the sub-classifications with normal service, and outputting the judged classification as normal network service when the judgment result of each sub-classification in the sub-classifications is yes;
judging the sub-classification of the internet service perception difference, and outputting the judged classification as the internet service perception difference when the judgment result of any one of the sub-classifications is yes;
and judging the sub-classifications which can not be judged by the internet service, and outputting the judgment classification as the internet service can not be judged when the judgment result of any one of the sub-classifications is yes.
Optionally, the sub-classification of normal voice traffic includes: 2G voice is abnormal, VOLTE voice is abnormal;
the sub-classification of the voice traffic being abnormal includes: 2G voice is abnormal, VOLTE voice is abnormal;
the sub-classification that the speech classification cannot judge includes: no voice service signaling record and less signaling record.
Optionally, the system further comprises:
and the storage unit is used for storing the acquired perception index data set of the user.
In a second aspect, the present invention provides a method for determining a user fault recovery condition, including:
analyzing the user internet service and voice service process to form a judgment classification model of service fault recovery condition;
collecting a perception index data set of a user from a service signaling ticket, judging the service fault recovery condition of the user according to the perception index data set of the user and a judgment classification model of the service fault recovery condition, and generating a fault recovery diagnosis log;
and outputting the fault recovery diagnosis log.
The embodiment of the application provides a system and a method for judging user fault recovery conditions, wherein a service fault recovery judgment classification is formed by analyzing the processes of a user internet service and a voice service, and a fault recovery diagnosis log is generated according to the service fault recovery judgment classification and a user dimension perception index data set which is regularly collected, so that a customer service worker can visually see the service type, check point, check item and check result (pass/fail) of a user, and further identify an unrecovered fault point.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a schematic structural diagram of a system for determining a user fault recovery condition according to an embodiment of the present disclosure;
fig. 2 is a flowchart of a method for determining a user fault recovery condition according to an embodiment of the present application;
Detailed Description
The technical solution of the present invention is further described in detail by the accompanying drawings and embodiments.
The embodiment of the invention provides a system for judging user fault recovery conditions, which is characterized in that a judgment classification model of the user internet fault recovery conditions is generated in advance, then a perception index data set of a user is collected from a signaling session list in a fractal dimension mode, the internet fault recovery conditions of the user within a period of time are judged according to the judgment classification model of the user internet fault recovery conditions, and a judgment result is output, so that a customer service staff can judge whether internet services or voice services of the user have faults or not according to the judgment result, and whether the faults are recovered or not. For example, the system collects the perception index data set of the user once every hour, and judges the collected index data set according to a pre-generated user internet fault recovery condition judgment classification model to determine whether the user internet fault occurs in the process of accessing the internet. When customer service personnel receive complaints of the user and inquire the internet surfing process of the user, the system outputs a judgment result of the internet surfing process of the user within 24 hours. The customer service staff can obtain whether the user has a fault in the internet surfing process in the past 24 hours and whether the fault is recovered after the fault according to the judgment result.
Fig. 1 is a schematic structural diagram of a system for determining a user fault recovery condition according to an embodiment of the present invention, and referring to fig. 1, the system for determining a user fault recovery condition includes: the device comprises an acquisition unit 101, a storage unit 102, a processing unit 103, a judgment unit 104 and an output unit 105.
The acquisition unit 101 is configured to acquire a user perception index data set from a mass service signaling ticket in a fractal dimension manner. Specifically, the acquisition unit 101 periodically determines the used key index data from the massive service signaling ticket according to the user dimension convergence.
The storage unit 102 is configured to store the index data set acquired by the acquisition unit 101. Specifically, the index data set acquired by the acquisition unit 101 may be stored in the Hbase database.
The processing unit 103 is configured to analyze a user internet service process and a voice service process, form a classification model for determining a service failure recovery condition, and comb a determination basis for failure recovery by combining service characteristics and a user perception condition.
Forming a decision classification model of a service failure recovery situation includes: three judgment classifications are set for the user internet access service and the voice service process respectively.
The three judgment classifications set when judging the internet access service of the user are specifically: the internet access service is normal, the perception of the internet access service is poor and the internet access service cannot be judged.
In a possible embodiment, the internet access service is further divided, and setting the sub-classification of the internet access service comprises: the internet access is realized and the internet access speed is normal. When the internet access service is judged, if the judgment results of the two sub-classifications of the internet access service are both 'yes', the output judgment classification result is as follows: and the internet access service is normal.
Further, when the sub-classification of the internet access service which is normal is judged, the judgment basis of the internet access available is as follows: there is traffic interaction and most internet interaction is normal. Specifically, the method can comprise the following steps: (1) the HTTP request record number is more than 50, and the downlink flow is more than 3M; (2) the number of times of HTTP _ TCP request no response + the number of times of HTTP _ TCP link establishment acknowledgement no response + the number of times of TCP request no response (general) + the number of times of TCP link establishment acknowledgement no response (general) + the number of times of HTTP no response + the number of times of HTTP response failure)/(the number of general TCP request records (general) + the number of HTTP request records) <5%.
The judgment basis of the 'normal internet speed' is that a large-flow service occurs, and most of large-flow interaction is a high-speed service. Specifically, the method can comprise the following steps: (1) and large-flow service: the user flow is greater than 1G; (2) and in the large-flow Internet surfing request interaction: (the number of times that the downlink traffic is less than 500KB total transmission delay is greater than or equal to 8 seconds + the number of times that the downlink traffic is greater than or equal to 500KB download rate is less than 500 kbps)/HTTP request record number is < 3% and "the number of times that HTTP link establishment response delay exceeds 1 second + the number of times that HTTP link establishment acknowledgement delay exceeds 1 second + the number of times that TCP link establishment exceeds 1 second + the number of times that HTTP _ TCP link establishment succeeds until the first request transaction issues + the number of times that general _ TCP link establishment succeeds until the first request transaction issues + the number of times that TCP request record number (general) + HTTP request record number) is < 3%.
In a possible embodiment, the method further divides the internet service perception worse, and the setting of the sub-classification of internet service perception worse includes: the network access service falls back to 2G, the terminal is abnormal, the service is abnormal, and the speed is abnormal. When the internet service is judged, if the output result of any one of the sub-classifications with poor internet service perception is 'yes', the output judgment classification result is as follows: the perception of the internet service is poor.
Further, when the sub-classification with poor internet access service perception is judged, the judgment basis that the internet access service falls back to 2G is as follows: the 4G downlink flow is more than 5M, the number of 4G related events is more than 50, and the number of times of entering 2/3G from 4G is more than 3.
The basis for judging the terminal abnormity is as follows: (2/3/4G networking abnormal event number +2/3/4G networking normal event number) belongs to (5, 50) and HTTP request record number belongs to (5, 20)) or the number of times of a Security Activation failure reason code 24 in an attachment flow is 3 and the number of times of the Security Activation failure reason code 24 accounts for 80 percent of the number of times of the Security Activation flow; or the authentication failure reason code 20 times > is 3 and the authentication failure reason code 20 times accounts for the authentication process times > is 80%.
The judgment basis of the 'abnormal service' is as follows: (HTTP _ TCP request no-response times + HTTP _ TCP link establishment confirmation no-response times + TCP request no-response times (general) + TCP link establishment confirmation no-response times (general) + HTTP no-response times + HTTP response failure times)/(general TCP request record number (general) + HTTP request record number) > 5%.
The judgment basis of the rate abnormity is as follows: (the number of times that the downlink traffic is less than 500KB total transmission delay is more than or equal to 8 seconds + the number of times that the downlink traffic is more than or equal to 500KB download rate is less than or equal to 500 kbps)/HTTP request records > 3%, and "the number of times that HTTP link establishment response delay exceeds 1 second + the number of times that HTTP link establishment acknowledgement delay exceeds 1 second + the number of times that TCP link establishment exceeds 1 second + the number of times that HTTP _ TCP link establishment succeeds until the first request transaction starts + the number of times that general _ TCP link establishment succeeds until the first request transaction starts + the number of times that TCP link establishment exceeds 1 second)/(the number of general TCP request records (general) + the number of HTTP request records) > 3%.
In a possible embodiment, the internet access service is further divided, and the setting of the sub-classification that the internet access service cannot be judged includes: no signaling service record, small internet access service flow and few signaling records. When the internet access service is judged, if the output result of any one of the sub-classifications which can not be judged by the internet access service is yes, the output judgment classification result is as follows: the internet access service cannot be judged.
Further, when the sub-classification which cannot be judged by the internet access service is judged, the judgment basis of "no signaling service record" is as follows: the number of abnormal events of the 2/3/4G internet access and the number of normal events of the 2/3/4G internet access are equal to 0.
The judgment basis of 'very small internet traffic and very few signaling records' is as follows: 4G downstream traffic <3M and (number of HTTP request records + number of general TCP request records (general)) < 5.
The three decision classifications set when making a decision on voice traffic are specifically: the voice service is normal, the voice service is abnormal, and the voice service cannot be judged.
In one possible embodiment, the voice traffic is further divided, and setting the sub-classification of the voice traffic normal includes: normal 2G voice and normal VOLTE voice. When the voice service is judged, if the output result of each sub-classification in the sub-classifications of the voice service which is normal is 'yes', the output judgment result is classified as: the voice traffic is normal.
Further, when the sub-classification of the voice service being normal is judged, the judgment basis of the "2G voice being normal" is as follows: (1) the number of connected calls is more than 0; (2) and the call completing rate is high: 2G voice on duty > 90%; (3) and the call drop rate is low: the 2G voice call drop rate is < 10%.
The judgment basis of 'VOLTE voice is normal' is as follows: (1) VOLTE switching-on times are greater than 1; (2) the VOLTE call completing rate is high: VOLTE voice on duty > 90%; (3) and the VOLTE call drop rate is low: the VOLTE call drop rate is less than 10%.
The voice service abnormality is further divided, and the sub-classification for setting the voice service abnormality comprises the following steps: : 2G voice is abnormal, VOLTE voice is abnormal. When the voice service is judged, if the output result of any one of the abnormal sub-classifications of the voice service is 'yes', the output judgment result is classified as: the voice traffic is not normal.
Further, when the sub-classification of the abnormal voice service is judged, the judgment basis of the abnormal 2G voice is as follows: there is a turn-on rate but the turn-on time remains short, specifically: (1) the number of connected calls is less than 1; (2) and the call completing rate is low: 2G voice on duty < 90%; (3) and the call drop rate is high: the 2G voice call drop rate > 10%.
The judgment basis of 'VoLTE voice abnormal' is as follows: there is a turn-on rate but the turn-on time remains short, specifically: (1) the VOLTE switching-on times are less than 1; (2) the VoLTE call-in rate is low: VoLTE voice on duty < 90%; (3) and the VoLTE call drop rate is high: VoLTE drop rate > 10%.
The voice service can not be judged and further divided, and the sub-classification which can not be judged by the voice service is set to comprise the following steps: there is no voice service signaling record, and there are few voice service signaling records. When the voice service is judged, if the output result of any one of the subclasses which can not be judged by the voice service is yes, the output judgment result is classified as: voice traffic cannot be judged.
Further, when the sub-classification that the voice service cannot be judged is judged, the judgment basis of "no voice service signaling record" is as follows: the ESR request number + VoLTE calling attempt number + calling attempt number (VoLTE called) + VoLTE called call attempt number + called call attempt number (VoLTE calling) +2G calling call number + CSFB calling call number +2G called call number + CSFB called call number is 0.
The judgment basis of 'few voice service signaling records' is as follows: (1) the number of call times of 2G connection is less than 2; (2) VOLTE number of turns on < 2.
The judging unit 104 is configured to judge and classify the fault recovery situation of the user service formed by the processing unit 103 according to the index data collected by the collecting unit 101, judge the fault recovery situation of the user from two dimensions of the internet service and the voice service, and generate a user fault recovery diagnosis log within a certain time. Then, the output unit 105 outputs the service personnel to visually see the service type, the check point, the check item and the check result (pass/fail) of the user through the fault recovery diagnosis log, and further identify the unrecoverable fault point.
In a possible embodiment, the acquisition unit 101 acquires a user dimension perception index data set from a user service signaling ticket every 5 minutes, extracts key index data from the index data set acquired by the processing unit 103, and judges a service fault recovery condition of a user according to the key index data and a pre-generated service fault recovery judgment classification. When the customer service staff inquires about the service recovery condition of the user, the processing unit 103 generates a fault recovery diagnosis log according to the recovery condition of the user service fault in two hours, and outputs the fault recovery diagnosis log through the output unit 105.
In the embodiment of the invention, a judgment classification model of the service fault recovery condition is formed by analyzing the internet access service and voice service process of the user, and the fault recovery active judgment logic is packaged according to the judgment classification model. When customer service personnel receive the query requirement of the user, one-key response to the customer service requirement can be realized, and the full-process supporting work can be carried out.
FIG. 2 is a flowchart illustrating a method for determining a user failure recovery situation according to an embodiment of the present invention; the method is implemented by the system shown in fig. 1 and comprises the following steps: S201-S203;
step S201: analyzing the user internet service and voice service process to form a service fault recovery judgment classification model;
step S202: collecting a perception index data set of a user from a service signaling ticket;
step S203: and judging the service fault recovery condition of the user according to the perception index data set of the user and the service fault recovery judgment classification model, generating a fault recovery diagnosis log, and outputting the fault recovery diagnosis log.
Those skilled in the art will recognize that, in one or more of the examples described above, the functions described in this invention may be implemented in hardware, software, firmware, or any combination thereof. When implemented in software, the functions may be stored on or transmitted over as one or more instructions or code on a computer-readable medium.
The above-mentioned embodiments, objects, technical solutions and advantages of the present invention are further described in detail, it should be understood that the above-mentioned embodiments are only exemplary embodiments of the present invention, and are not intended to limit the scope of the present invention, and any modifications, equivalent substitutions, improvements and the like made on the basis of the technical solutions of the present invention should be included in the scope of the present invention.
Claims (9)
1. A system for determining a user failure recovery condition, comprising:
the acquisition unit is used for acquiring a perception index data set of a user from a service signaling ticket;
the processing unit is used for analyzing the internet access service and voice service processes of the user to form a judgment classification model of service fault recovery conditions;
the judging unit is used for regularly judging the fault recovery conditions of the user internet service and the voice service according to the perception index data set of the user and the judgment classification model of the service fault recovery condition to generate a fault recovery diagnosis log;
and the output unit is used for outputting the fault recovery diagnosis log.
2. The system of claim 1, wherein the acquisition unit is specifically configured to:
and acquiring a perception index data set of a user from a service signaling bill at regular time from two dimensions of an internet service and a voice service, and storing the index data set into an Hbase database.
3. The system of claim 1, wherein the processing unit is further configured to:
and determining a key index and an index threshold value of each classification in the classification model to form a judgment basis of the user service fault recovery condition.
4. The system according to any one of claims 1-3, wherein the processing unit is specifically configured to:
setting three judgment classifications for the user internet service comprises the following steps: the internet access service is normal, the perception of the internet access service is poor, and the internet access service cannot be judged;
setting three decision classifications for the voice traffic includes: the voice service is normal, the voice service is abnormal, and the voice service cannot be judged.
5. The system of claim 4, wherein the sub-classification of normal internet traffic comprises: the internet can be accessed, and the internet access speed is normal;
the sub-classification of the internet service perception difference comprises the following steps: the network access service falls back to 2G, the terminal is abnormal, the service is abnormal and the speed is abnormal;
the sub-classifications that cannot be determined include: no signaling record, small traffic and few signaling records.
6. The system according to claim 5, wherein the determining unit is specifically configured to:
judging the sub-classifications with normal service, and outputting the judged classification as normal network service when the judgment result of each sub-classification in the sub-classifications is yes;
judging the sub-classification of the internet service perception difference, and outputting the judged classification as the internet service perception difference when the judgment result of any one of the sub-classifications is yes;
and judging the sub-classifications which can not be judged by the internet service, and outputting the judgment classification as the internet service can not be judged when the judgment result of any one of the sub-classifications is yes.
7. The system of claim 4, wherein the sub-classification of normal voice traffic comprises: 2G voice is abnormal, VOLTE voice is abnormal;
the sub-classification of the voice traffic being abnormal includes: 2G voice is abnormal, VOLTE voice is abnormal;
the sub-classification that the speech classification cannot judge includes: no voice service signaling record and less signaling record.
8. The system of claim 1, further comprising:
and the storage unit is used for storing the acquired perception index data set of the user.
9. A method for judging user fault recovery conditions comprises the following steps:
analyzing the user internet service and voice service process to form a judgment classification model of service fault recovery condition;
collecting a perception index data set of a user from a service signaling ticket, judging the service fault recovery condition of the user according to the perception index data set of the user and a judgment classification model of the service fault recovery condition, and generating a fault recovery diagnosis log;
and outputting the fault recovery diagnosis log.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011176798.7A CN112350860A (en) | 2020-10-28 | 2020-10-28 | System and method for judging user fault recovery condition |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011176798.7A CN112350860A (en) | 2020-10-28 | 2020-10-28 | System and method for judging user fault recovery condition |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN112350860A true CN112350860A (en) | 2021-02-09 |
Family
ID=74355530
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202011176798.7A Pending CN112350860A (en) | 2020-10-28 | 2020-10-28 | System and method for judging user fault recovery condition |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112350860A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116261112A (en) * | 2023-05-15 | 2023-06-13 | 北京首信科技股份有限公司 | Method and device for recovering network disconnection of arrival user in converged network |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102752792A (en) * | 2011-12-26 | 2012-10-24 | 华为技术有限公司 | Method, device and system for monitoring internet service quality of mobile terminal |
| CN105931060A (en) * | 2016-04-15 | 2016-09-07 | 北京思特奇信息技术股份有限公司 | Data service complaint handling method and system |
| US20180359159A1 (en) * | 2017-06-09 | 2018-12-13 | International Business Machines Corporation | Mechanism for fault diagnosis and recovery of network service chains |
| CN110995484A (en) * | 2019-11-29 | 2020-04-10 | 中盈优创资讯科技有限公司 | Automatic diagnosis method and device for service recovery of Internet of things |
| CN111294849A (en) * | 2018-12-10 | 2020-06-16 | 中国移动通信集团北京有限公司 | Method and device for judging poor Internet access quality of LTE (Long term evolution) user |
-
2020
- 2020-10-28 CN CN202011176798.7A patent/CN112350860A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102752792A (en) * | 2011-12-26 | 2012-10-24 | 华为技术有限公司 | Method, device and system for monitoring internet service quality of mobile terminal |
| CN105931060A (en) * | 2016-04-15 | 2016-09-07 | 北京思特奇信息技术股份有限公司 | Data service complaint handling method and system |
| US20180359159A1 (en) * | 2017-06-09 | 2018-12-13 | International Business Machines Corporation | Mechanism for fault diagnosis and recovery of network service chains |
| CN111294849A (en) * | 2018-12-10 | 2020-06-16 | 中国移动通信集团北京有限公司 | Method and device for judging poor Internet access quality of LTE (Long term evolution) user |
| CN110995484A (en) * | 2019-11-29 | 2020-04-10 | 中盈优创资讯科技有限公司 | Automatic diagnosis method and device for service recovery of Internet of things |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116261112A (en) * | 2023-05-15 | 2023-06-13 | 北京首信科技股份有限公司 | Method and device for recovering network disconnection of arrival user in converged network |
| CN116261112B (en) * | 2023-05-15 | 2023-08-01 | 北京首信科技股份有限公司 | Method and device for recovering network disconnection of arrival user in converged network |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN108848515B (en) | Internet of things service quality monitoring platform and method based on big data | |
| EP3214861B1 (en) | Method, device and system for detecting fraudulent user | |
| US8576724B2 (en) | Method, system, and computer program product, for correlating special service impacting events | |
| US7406161B2 (en) | System and method for real-time fraud detection within a telecommunication network | |
| US20080056144A1 (en) | System and method for analyzing and tracking communications network operations | |
| EP2157729B1 (en) | Service processing method, apparatus of charging system and charging system | |
| RU2429589C2 (en) | Method of detecting fraud during roaming connections in mobile communication networks | |
| CN112448894A (en) | Method, device, equipment and storage medium for blocking signaling storm | |
| CN109995555A (en) | Monitoring method, device, equipment and medium | |
| CN115776435A (en) | Early warning method based on API gateway | |
| CN112350860A (en) | System and method for judging user fault recovery condition | |
| CN111447328A (en) | Privacy number system fault warning system and method | |
| CN104580649A (en) | Method and system for checking automatic speech service content | |
| CN103024206A (en) | Method for preventing suspected telephone fraudulence on basis of telecommunication network | |
| CN102547789B (en) | Early warning method, device and system for quality of peer-to-peer service | |
| CN111901770B (en) | Method and system for detecting call ticket processing efficiency of roaming place server | |
| CN114168423A (en) | Abnormal number calling monitoring method, device, equipment and storage medium | |
| KR101506982B1 (en) | System and method for detecting and bclocking illegal call through data network | |
| CN102843258B (en) | Business operation fault determination method and business operation fault determination device | |
| CN113055921A (en) | Fault processing method and terminal | |
| CN1954622A (en) | Providing information on services in a communication system | |
| CN113114862B (en) | Fault processing method and server of voice mailbox | |
| KR100496263B1 (en) | A billing method for data service of mobile telecommunication network, and the system therefor | |
| EP4165837B1 (en) | Adaptive event processing for cost-efficient cem | |
| CN114302398B (en) | Big data-based reserved fraud number identification method and device and computing equipment |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20210209 |
|
| RJ01 | Rejection of invention patent application after publication |