CN115834422A - User number statistical method for calculating network fault - Google Patents
User number statistical method for calculating network fault Download PDFInfo
- Publication number
- CN115834422A CN115834422A CN202211111406.8A CN202211111406A CN115834422A CN 115834422 A CN115834422 A CN 115834422A CN 202211111406 A CN202211111406 A CN 202211111406A CN 115834422 A CN115834422 A CN 115834422A
- Authority
- CN
- China
- Prior art keywords
- data
- user
- acquiring
- users
- topology
- 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
- 238000007619 statistical method Methods 0.000 title claims abstract description 13
- 238000000034 method Methods 0.000 claims abstract description 18
- 230000004888 barrier function Effects 0.000 claims abstract description 11
- 238000004458 analytical method Methods 0.000 claims abstract description 7
- 238000009877 rendering Methods 0.000 claims abstract description 7
- 238000004806 packaging method and process Methods 0.000 claims description 3
- 238000012423 maintenance Methods 0.000 abstract description 6
- 238000007726 management method Methods 0.000 abstract description 5
- 238000012545 processing Methods 0.000 abstract description 5
- 238000013024 troubleshooting Methods 0.000 abstract description 3
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 230000008030 elimination Effects 0.000 description 1
- 238000003379 elimination reaction Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000011156 evaluation Methods 0.000 description 1
- 230000000007 visual effect Effects 0.000 description 1
Images
Landscapes
- Data Exchanges In Wide-Area Networks (AREA)
Abstract
The invention discloses a statistical method for calculating the number of users with network faults, relating to the technical field of broadband operator networks; the method comprises the following steps: acquiring data related to a user and equipment; acquiring real-time alarm data of the whole network equipment; associating the alarm data with the user data, and analyzing; recording an analysis result and recording a user detail list of the influence of the group barrier; providing a group barrier management interface, and performing UI page rendering, wherein the user data comprises user account data, user account basic data and user topology data, and the acquisition method comprises the following steps: acquiring user account data from a user system; acquiring account opening basic data of a user from a service system; the device-related data includes classifier data and light attenuation data. The invention can realize the quick judgment of the fault link and the number of the affected users, can provide quick troubleshooting basis for the network operation and maintenance department, and can evaluate the fault decision in the owner, thereby enabling the customer service and the operation and maintenance department and improving the processing efficiency.
Description
Technical Field
The invention relates to the technical field of broadband operator networks, in particular to a user number statistical method for calculating network faults.
Background
With the development of mobile internet technology, broadband network operation gradually enters the visual field of people, and temporary broadband networks can be provided for people through a large number of broadband network providing devices arranged in public places such as malls, movie theaters and the like.
With the popularization of broadband, the complexity of lines is very important for the detection and the elimination of network faults and the statistical recording of fault users.
When a fault occurs in the existing network, the user range influenced by the fault network element cannot be matched timely and accurately, so that when the fault occurs, an operator cannot effectively evaluate the number of users influenced by the fault, and internal decision is influenced; for a user, the actual reason and the repair condition of the fault cannot be clearly defined, and the user experience is influenced
Disclosure of Invention
The invention aims to solve the defects in the prior art and provides a user number statistical method for calculating network faults.
In order to achieve the purpose, the invention adopts the following technical scheme:
a statistical method for calculating the number of users with network faults comprises the following steps:
s1: acquiring data related to a user and equipment;
s2: acquiring real-time alarm data of the whole network equipment;
s3: associating the alarm data with the user data, and analyzing;
s4: recording an analysis result and recording a user detail list of the influence of the group barrier;
s5: and providing a group fault management interface, and performing UI page rendering.
Preferably: in the S1, the user data comprises user account data, user account opening basic data and user topology data.
Preferably: the acquisition method of the S1 comprises the following steps:
a1: acquiring user account data from a user system;
a2: acquiring account opening basic data of a user from a service system;
a3: and acquiring user topology data.
Preferably: in S1, the device-related data includes classifier data and light attenuation data.
Preferably: the S1 equipment related data acquisition method comprises the following steps:
b1: acquiring primary and secondary classifier data from a line source;
b2: and collecting the light attenuation data of the four-layer network equipment.
Preferably: the S3 specifically comprises the following steps:
c1: analyzing alarm data and associating alarm north with user topology;
c2: analyzing whether the path influencing the user topology is a unique path or not;
c3: and analyzing the user data influenced by the alarm.
Preferably: the S4 specifically comprises the following steps:
d1: recording a group barrier analysis result;
d2: recording a detailed list of users affected by the group barrier.
Preferably: in the step D2, the user detail list comprises an affected user account, user account opening basic data, user topology path data and user equipment data which are matched with one another.
Preferably: in the step S5, the specific method is as follows: and packaging the interfaces associated with the faults at this time, such as group fault query, topology restoration and the like, defining standard and uniform interface access parameters to form a group fault management interface, and rendering and displaying data returned by the interface on a page.
The invention has the beneficial effects that:
1. the invention can realize the rapid judgment of the fault link and the number of the affected users, can provide rapid troubleshooting basis for a network operation and maintenance department, and can evaluate the fault decision in the owner, thereby enabling customer service and the operation and maintenance department and improving the processing efficiency.
2. The invention realizes the standardization and the uniformity of the capacity, supports the entry of equipment IP, user account and the like, provides real and effective data for troubleshooting basis, can improve the processing time of faults, reduce the waiting time of users and provide guarantee for improving the service quality of customers.
Drawings
Fig. 1 is a schematic flow chart of a statistical method for calculating the number of users with network failure according to the present invention.
Detailed Description
The technical solution of the present patent will be further described in detail with reference to the following embodiments.
In the description of this patent, it is noted that unless otherwise specifically stated or limited, the terms "mounted," "connected," and "disposed" are to be construed broadly and can include, for example, fixedly connected, disposed, detachably connected, disposed, or integrally connected and disposed. The specific meaning of the above terms in this patent may be understood by those of ordinary skill in the art as appropriate.
Example 1:
a statistical method for calculating the number of users with network faults comprises the following steps:
s1: acquiring data related to a user and equipment;
s2: acquiring real-time alarm data of the whole network equipment;
s3: associating the alarm data with the user data, and analyzing;
s4: recording an analysis result and recording a user detail list of the influence of the group barrier;
s5: and providing a group barrier management interface, and performing UI page rendering.
Example 2:
a statistical method for calculating the number of users with network faults is improved based on embodiment 1: in the S1, the user data comprises user account data, user account opening basic data and user topology data.
The acquisition method comprises the following steps:
a1: acquiring user account data from a user system;
a2: acquiring account opening basic data of a user from a service system;
a3: and acquiring user topology data.
In S1, the device-related data includes classifier data and light attenuation data
The acquisition method comprises the following steps:
b1: acquiring primary and secondary classifier data from a line source;
b2: and collecting light attenuation data of the four-layer network equipment.
The S3 specifically comprises the following steps:
c1: analyzing alarm data and associating alarm north with user topology;
c2: analyzing whether the path influencing the user topology is a unique path or not;
c3: and analyzing the user data influenced by the alarm.
The S4 specifically comprises the following steps:
d1: recording a group fault analysis result;
d2: recording a detailed list of users affected by the group barrier.
In the step D2, the user detail list comprises an affected user account, user account opening basic data, user topology path data and user equipment data which are matched with each other.
In the step S5, the specific method is as follows: and packaging the interfaces associated with the faults at this time, such as group fault query, topology restoration and the like, defining standard and uniform interface access parameters to form a group fault management interface, and rendering and displaying data returned by the interface on a page.
In this embodiment: the method can realize quick judgment of fault links and the number of affected users, can provide quick fault removal basis for network operation and maintenance departments, and can provide decision evaluation for faults inside owners, so that customer service and operation and maintenance departments can be enabled, the processing efficiency is improved, the standardization and the uniformity of capacity are realized, the method supports the entry of equipment IP, user accounts and the like, provides real and effective data for the fault removal basis, can improve the processing time of the faults, reduces the waiting time of the users, and provides guarantee for improving the service quality of the clients.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art should be considered to be within the technical scope of the present invention, and the technical solutions and the inventive concepts thereof according to the present invention should be equivalent or changed within the scope of the present invention.
Claims (9)
1. A statistical method for calculating the number of users with network faults is characterized by comprising the following steps:
s1: acquiring data related to a user and equipment;
s2: acquiring real-time alarm data of the whole network equipment;
s3: associating the alarm data with the user data, and analyzing;
s4: recording an analysis result and recording a user detail list of the influence of the group barrier;
s5: and providing a group fault management interface, and performing UI page rendering.
2. The method according to claim 1, wherein in S1, the user data includes user account data, user account basic data, and user topology data.
3. The statistical method for calculating the number of users with network failures according to claim 2, wherein the obtaining method of S1 is:
a1: acquiring user account data from a user system;
a2: acquiring account opening basic data of a user from a service system;
a3: and acquiring user topology data.
4. The statistical method for calculating the number of users with network faults as claimed in claim 1, wherein in S1, the device-related data includes classifier data and light attenuation data.
5. The statistical method for the number of users in computing network failure according to claim 4, wherein the S1 device-related data obtaining method is:
b1: acquiring primary and secondary classifier data from a line source;
b2: and collecting light attenuation data of the four-layer network equipment.
6. The method according to claim 1, wherein the step S3 specifically includes the following steps:
c1: analyzing alarm data, and associating alarm north with user topology;
c2: analyzing whether the path influencing the user topology is a unique path or not;
c3: and analyzing the user data influenced by the alarm.
7. The method according to claim 1, wherein the step S4 specifically includes the following steps:
d1: recording a group barrier analysis result;
d2: recording a detailed list of users affected by the group barrier.
8. The method according to claim 7, wherein in the D2, the user list includes the affected user account, the user account opening basic data, the user topology path data, and the user device data, which are matched with each other.
9. The method for counting the number of users with network failure according to claim 1, wherein in S5, the specific method is as follows: and packaging the interfaces associated with the faults at this time, such as group fault query, topology restoration and the like, defining standard and uniform interface access parameters to form a group fault management interface, and rendering and displaying data returned by the interface on a page.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211111406.8A CN115834422A (en) | 2022-09-13 | 2022-09-13 | User number statistical method for calculating network fault |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211111406.8A CN115834422A (en) | 2022-09-13 | 2022-09-13 | User number statistical method for calculating network fault |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN115834422A true CN115834422A (en) | 2023-03-21 |
Family
ID=85523569
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202211111406.8A Pending CN115834422A (en) | 2022-09-13 | 2022-09-13 | User number statistical method for calculating network fault |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN115834422A (en) |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20130290783A1 (en) * | 2012-04-27 | 2013-10-31 | General Instrument Corporation | Estimating a Severity Level of a Network Fault |
| CN110266550A (en) * | 2019-07-25 | 2019-09-20 | 中国联合网络通信集团有限公司 | The method and device of failure effect forecast |
-
2022
- 2022-09-13 CN CN202211111406.8A patent/CN115834422A/en active Pending
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20130290783A1 (en) * | 2012-04-27 | 2013-10-31 | General Instrument Corporation | Estimating a Severity Level of a Network Fault |
| CN110266550A (en) * | 2019-07-25 | 2019-09-20 | 中国联合网络通信集团有限公司 | The method and device of failure effect forecast |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN105490862B (en) | A kind of efficient fault diagnosis engine | |
| CN102291617B (en) | End-to-end fault diagnosing and positioning platform of IPTV (Internet Protocol Television) business | |
| CN107819645B (en) | Internet of things testing method based on software simulation | |
| US20080181099A1 (en) | Methods, systems, and computer program products for using alarm data correlation to automatically analyze a network outage | |
| CN109783552A (en) | A kind of data cleansing restorative procedure | |
| CN106130786A (en) | The detection method of a kind of network failure and device | |
| CN105471620A (en) | Broadband intelligent terminal embedded network analysis and diagnosis device and method thereof | |
| CN104301156B (en) | A kind of preprocess method and its network equipment of customer complaint reach | |
| CN102195813A (en) | Method and device for intelligently creating operation and maintenance worksheet | |
| CN105306246B (en) | A kind of method, apparatus and server of the complaint of automatic-answering back device network class | |
| US20120140901A1 (en) | Methods, apparatus, and articles of manufacture to trigger preemptive maintenance in vectored digital subscriber line (dsl) systems | |
| CN109559064A (en) | The operation and maintenance method of gate based on Internet of Things | |
| CN107730647A (en) | A kind of smart mobile phone cruising inspection system and its method for inspecting based on SCADA | |
| CN110223411B (en) | Inspection system and method for public water dispenser | |
| CN109714434B (en) | A kind of operation management method of the Metro AFC system based on Internet of Things | |
| CN112865316A (en) | Power supply service analysis command system and method based on big data | |
| CN105656672B (en) | A kind of failure anticipation diagnostic tool and method based on APP | |
| CN106789234B (en) | Automatic alarm test system and method for call center | |
| CN109963292B (en) | Complaint prediction method, complaint prediction device, electronic apparatus, and storage medium | |
| CN108271189A (en) | A kind of quality of service monitoring method and device | |
| CN111698711B (en) | Analysis method and analysis system for intelligent diagnosis of public network wireless communication channel faults | |
| CN115834422A (en) | User number statistical method for calculating network fault | |
| TWI419487B (en) | Broadband user copper centralized monitoring and quality deterioration of active alarm system | |
| CN112557745A (en) | Power superposition comparison system and method for line loss monitoring | |
| CN116743804A (en) | Visual supervisory systems of computer lab |
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 |