CN115914889A - Method for realizing OLT equipment worth analysis - Google Patents
Method for realizing OLT equipment worth analysis Download PDFInfo
- Publication number
- CN115914889A CN115914889A CN202211332534.5A CN202211332534A CN115914889A CN 115914889 A CN115914889 A CN 115914889A CN 202211332534 A CN202211332534 A CN 202211332534A CN 115914889 A CN115914889 A CN 115914889A
- Authority
- CN
- China
- Prior art keywords
- equipment
- fault
- olt
- value
- data
- 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
Landscapes
- Data Exchanges In Wide-Area Networks (AREA)
Abstract
The invention provides a method for realizing the value analysis of OLT equipment, which aims to realize the visualization of the running condition of network broadband service, give play to the value of optical broadband data, facilitate the development of network resource combing and renovation, realize the improvement of equipment value and effectively improve the perception of customers. By applying the technical scheme, the low-value OLT equipment can be comprehensively analyzed and output for data of equipment, users, products and the like, and the value capacity of the equipment is improved by means of resource combing and the like; the equipment is associated with complaints and fault work orders, fault influence conditions are visually presented, group fault interception is realized, and user perception is effectively improved.
Description
Technical Field
The invention relates to the technical field of information, in particular to a method for realizing the valuable analysis of OLT equipment.
Background
The existing OLT equipment value analysis method is single, only the performance and the running state of the OLT equipment can be analyzed, and the analysis result cannot completely and truly feed back the actual value of the OLT equipment. The equipment value analysis needs to be based on data of equipment, services, users and the like, the data of each current system is like a plurality of information isolated islands, the data is difficult to share, the value analysis of the equipment lacks effective data support, and scientific judgment is difficult to achieve.
Disclosure of Invention
In view of this, the present invention aims to provide a method for implementing OLT device value analysis, which gives play to a wide data value, facilitates development of network resource combing and remediation, implements device value improvement, and effectively improves customer perception.
In order to achieve the purpose, the invention adopts the following technical scheme: a method for realizing the OLT equipment worth analysis comprises the following steps:
step S1: deploying integrated acquisition service, acquiring equipment resource data, including equipment longitude and latitude, equipment bearing product information and equipment basic information;
step S2: deploying integrated acquisition service, hanging user information and OBD information down on acquisition equipment, uploading a big data platform, and calculating resource utilization conditions by applying the operational capacity of the big data platform, wherein the method comprises the following steps: port, OBD usage;
and step S3: deploying FTP file service, and collecting user internet authentication information;
and step S4: an OLT equipment value evaluation model is established, and a digital model is applied to deep mining and analyzing of data by integrating data including longitude and latitude of single equipment, user quality difference conditions, public active user number, IPTV active user number, PON port occupancy rate and optical port real occupation rate, so that the actual value of OLT equipment is judged and visually presented;
step S5: deploying equipment monitoring service, and realizing offline detection of equipment through an ICMP mechanism;
step S6: deploying work order monitoring service, collecting fault and complaint report work order data in an API mode, and matching rules to extract key information of the work order;
step S7: and 4, on the basis of the step 4, the equipment is butted with the fault and the user application by combining the steps 5 and 6, so that the group fault interception is realized, and the user perception is improved.
In a preferred embodiment, an OLT equipment value evaluation model is established, and a digital model is applied to analyze and judge the actual value of the OLT equipment on the basis of data of equipment, users, products and the like; the concrete implementation is as follows:
and establishing a value evaluation model according to the business indexes and the index weights, scoring the OLT equipment according to the index weights, and setting a total score interval or an occupation interval range to judge that the OLT equipment belongs to high-value equipment or low-value equipment.
In a preferred embodiment, establishing a group fault interception rule base to perform intelligent interception of faults includes the following steps:
step (1), deploying equipment monitoring service, and realizing offline detection of OLT equipment through an ICMP mechanism;
step (2) deploying work order acquisition service, monitoring fault and complaint report work orders in real time in an API mode, and extracting key information of the work orders according to matching rules;
step (3) analyzing the influence range of the fault user according to the data in the step (1) and the step (2) and by combining an OLT equipment value evaluation model;
step (4) establishing a group fault interception rule base, formulating fault early warning indexes and interception conditions, and performing unified monitoring and intelligent interception on faults meeting the conditions;
step (5), aiming at high-value OLT equipment, automatically improving the corresponding equipment fault single level and improving the use perception of a user product;
and (6) ending the group barrier intercepting process.
Compared with the prior art, the invention has the following beneficial effects:
1. the method comprises the steps of establishing an OLT equipment worth evaluation model, breaking a data island by collecting data such as pull-on OLT, OBD, users, cost and quality, carrying out deep integration and comprehensive analysis on the data by using a big data platform, and accurately analyzing the actual value of OLT equipment on the basis of the data such as user, product and customer perception.
2. And (4) application value analysis conclusion, aiming at the low-value 0LT equipment, improving the use value of the equipment through measures such as current network resource carding, board card merging and the like.
3. And applying a value analysis conclusion, establishing a group barrier interception center, realizing the butt joint of the equipment with the fault and a user declaration form, intelligently starting fault judgment when the interception center monitors that the fault occurs, analyzing the fault influence range of the user and implementing group barrier interception.
Drawings
Fig. 1 is a flowchart of integrated data acquisition and intelligent value analysis of an OLT apparatus according to a preferred embodiment of the present invention.
Fig. 2 is a flowchart of the OLT device value capability improvement and intelligent management and control in accordance with the preferred embodiment of the present invention.
Detailed Description
The invention is further explained below with reference to the drawings and the embodiments.
It should be noted that the following detailed description is exemplary and is intended to provide further explanation of the disclosure. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs.
It is noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of exemplary embodiments according to the present application; as used herein, the singular forms "a", "an" and "the" are intended to include the plural forms as well, and it should be understood that when the terms "comprises" and/or "comprising" are used in this specification, they specify the presence of stated features, steps, operations, devices, components, and/or combinations thereof, unless the context clearly indicates otherwise.
A method for implementing OLT equipment valuation analysis, referring to fig. 1-2, comprising the steps of:
step S1: deploying integrated acquisition service, acquiring equipment resource data, including equipment longitude and latitude, equipment bearing product information and equipment basic information;
step S2: deploying integrated acquisition service, hanging user information and OBD information down on acquisition equipment, uploading a big data platform, and calculating resource utilization conditions by applying the operational capacity of the big data platform, wherein the method comprises the following steps: port, OBD usage;
and step S3: deploying FTP file service, and acquiring user internet authentication information, such as acquisition of public users and IPTV active user number; establishing a data processing engine, and carrying out preprocessing operations such as filtering, conversion, feature extraction and the like on the data;
and step S4: an OLT equipment value evaluation model is built, and through integrating data including longitude and latitude of single equipment, user quality difference conditions, public active user number, IPTV active user number, PON port occupancy rate and optical port real occupation rate, a digital model is applied to deep mining and analyzing of the data, and actual value of OLT equipment is judged and visually presented;
step S5: deploying equipment monitoring service, and realizing offline detection of equipment through an ICMP mechanism;
step S6: deploying work order monitoring service, acquiring fault and complaint report work order data in an API mode, and extracting work order key information by matching rules;
step S7: and 4, on the basis of the step 4, the equipment is butted with the fault and the user application by combining the steps 5 and 6, so that the group fault interception is realized, and the user perception is improved.
Establishing an OLT equipment value evaluation model, and applying a digital model to analyze and judge the actual value of OLT equipment on the basis of data of equipment, users, products and the like; the concrete implementation is as follows:
and establishing a value evaluation model according to the service index and the index weight, scoring the OLT equipment according to the index weight, and setting a total score interval or a proportion interval range to judge whether the OLT equipment belongs to high-value equipment or low-value equipment, wherein the index weight is shown in table 1.
Table 1:
the method realizes the value capability improvement and intelligent management and control of the OLT equipment, and comprises the following steps as shown in figure 2:
the value of OLT equipment is improved: and the value capability of the low-value OLT equipment is improved by combing the resources of the existing network equipment and merging the board cards.
User group obstacle interception is realized: the method comprises the steps of collecting fault and complaint report work order data, matching rules to extract work order key information, achieving equipment and fault and user report butt joint, achieving analysis of the influence range of the fault, and achieving intelligent interception.
Establishing a group fault interception rule base to implement intelligent interception of faults, and the method comprises the following steps:
step (1), deploying equipment monitoring service, and realizing offline detection of OLT equipment through an ICMP mechanism;
step (2) deploying work order acquisition service, monitoring fault and complaint report work orders in real time in an API mode, and extracting key information of the work orders according to matching rules;
step (3) analyzing the influence range of the fault user according to the data in the step (1) and the step (2) in combination with an OLT equipment value evaluation model;
step (4) establishing a group fault interception rule base, formulating fault early warning indexes and interception conditions, and performing unified monitoring and intelligent interception on faults meeting the conditions;
step (5), aiming at high-value OLT equipment, automatically improving the corresponding equipment fault single level and improving the use perception of user products;
and (6) ending the group barrier intercepting process.
The following are shorthand notes that appear above:
and (3) OBD: a light splitter. The optical splitter is a passive device, and is also called an optical splitter. The optical splitter is a component for constructing an EPON network, is a passive device for connecting the OLT and the ONU, and has the functions of distributing downlink data and concentrating the uplink data.
FTP (filetransfer protocol): the file transfer protocol is a set of standard protocols for file transfer on the network, which works in the application layer, uses TCP transmission instead of UDP, and ensures the connection between the client and the server is reliable through a 'three-way handshake' process before the client establishes the connection with the server.
PON: a Passive Optical Network (PON) mainly uses a Passive Optical power splitter (coupler) to transmit information to each user. A passive optical network includes an Optical Line Terminal (OLT) mounted to a central control station and a plurality of associated Optical Network Units (ONUs) mounted to subscriber sites.
An IPTV, i.e. an interactive network television, is a technology that integrates various technologies such as internet, multimedia, and communication, etc. into a whole by using a broadband cable television network, and provides various interactive services including digital televisions for home users.
ICMP (1 nternet Control Message Protocol): lnternet controls the message protocol. It is a subprotocol of the TCP/IP protocol cluster for passing control messages between IP hosts and routers. The use of this protocol can be used to detect if it is reachable, if the host is reachable, if routing is available, etc.
API (Application Programming interface) is some predefined interface (e.g. function, HTTP interface) or refers to a convention for linking different components of a software system. To provide a set of routines that applications and developers can access based on certain software or hardware without accessing source code.
The above are preferred embodiments of the present invention, and all changes made according to the technical solutions of the present invention that produce functional effects do not exceed the scope of the technical solutions of the present invention belong to the protection scope of the present invention.
Claims (3)
1. A method for realizing the OLT equipment worth analysis is characterized by comprising the following steps:
step S1: deploying integrated acquisition service, acquiring equipment resource data, including equipment longitude and latitude, equipment bearing product information and equipment basic information;
step S2: deploying integrated collection service, hanging user information and OBD information down on collection equipment, uploading a big data platform, and calculating resource utilization conditions by applying the operational capacity of the big data platform, wherein the method comprises the following steps: port, OBD usage;
and step S3: deploying FTP file service, and collecting user internet authentication information;
and step S4: an OLT equipment value evaluation model is built, and through integrating data including longitude and latitude of single equipment, user quality difference conditions, public active user number, IPTV active user number, PON port occupancy rate and optical port real occupation rate, a digital model is applied to deep mining and analyzing of the data, and actual value of OLT equipment is judged and visually presented;
step S5: deploying equipment monitoring service, and realizing offline detection of equipment through an ICMP mechanism;
step S6: deploying work order monitoring service, acquiring fault and complaint report work order data in an API mode, and extracting work order key information by matching rules;
step S7: and 4, on the basis of the step 4, the equipment is butted with the fault and the user application by combining the steps 5 and 6, so that the group fault interception is realized, and the user perception is improved.
2. The method for realizing the OLT equipment worth analyzing of claim 1, wherein an OLT equipment worth evaluation model is established, and a digital model is applied to analyze and judge the actual value of the OLT equipment on the basis of the data of equipment, users, products and the like; the concrete implementation is as follows:
and establishing a value evaluation model according to the service index and the index weight, scoring the OLT equipment according to the index weight, and setting a total score interval or an occupation interval range to judge whether the OLT equipment belongs to high-value equipment or low-value equipment.
3. The method for analyzing the worth of the OLT device as claimed in claim 1, wherein the step of establishing the group fault interception rule base to perform intelligent interception of the fault includes the following steps:
deploying equipment monitoring service, and realizing offline detection of OLT equipment through an ICMP mechanism;
step (2) deploying work order acquisition service, monitoring fault and complaint report work orders in real time in an API mode, and extracting key information of the work orders according to matching rules;
step (3) analyzing the influence range of the fault user according to the data in the step (1) and the step (2) in combination with an OLT equipment value evaluation model;
establishing a group fault interception rule base, formulating fault early warning indexes and interception conditions, and performing unified monitoring and intelligent interception on faults meeting the conditions;
step (5), aiming at high-value OLT equipment, automatically improving the corresponding equipment fault single level and improving the use perception of user products;
and (6) ending the group barrier intercepting process.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202211332534.5A CN115914889A (en) | 2022-10-28 | 2022-10-28 | Method for realizing OLT equipment worth analysis |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202211332534.5A CN115914889A (en) | 2022-10-28 | 2022-10-28 | Method for realizing OLT equipment worth analysis |
Publications (1)
Publication Number | Publication Date |
---|---|
CN115914889A true CN115914889A (en) | 2023-04-04 |
Family
ID=86492400
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202211332534.5A Pending CN115914889A (en) | 2022-10-28 | 2022-10-28 | Method for realizing OLT equipment worth analysis |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN115914889A (en) |
-
2022
- 2022-10-28 CN CN202211332534.5A patent/CN115914889A/en active Pending
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN102045363B (en) | Establishment, identification control method and device for network flow characteristic identification rule | |
KR101047997B1 (en) | A detecting system and a management method for terminals sharing by analyzing network packets and a method of service | |
CN103546343B (en) | The network traffics methods of exhibiting of network traffic analysis system and system | |
CN101651934B (en) | Method and system for filtering long short messages | |
CN101729602B (en) | Method for acquiring P2P (peer-to-peer) video system program information | |
CN102055813A (en) | Access controlling method for network application and device thereof | |
CN103188104A (en) | Method and device for analyzing user behaviors | |
CN101459836B (en) | Service processing method and system for content distributing network of interactive network television | |
CN102707993A (en) | System and method for centralized processing of service | |
CN106209472A (en) | A kind of broadband user's data mining and the method for early warning | |
CN107566218B (en) | Flow auditing method suitable for cloud environment | |
CN105306246A (en) | Method, device and server for automatic answering of network complaints | |
CN107154873B (en) | Resource tree carding system based on V L AN automatic derivation | |
CN111654486A (en) | Server equipment judgment and identification method | |
CN114401097B (en) | HTTPS service flow identification method based on SSL certificate fingerprint | |
CN109286506B (en) | Method, system and device for charging flow | |
CN107846310B (en) | IPTV video quality difference linkage dial testing delimitation method based on client resource tree | |
CN101420336A (en) | Method for recognizing network telephone flow quantity in network and system thereof | |
CN115914889A (en) | Method for realizing OLT equipment worth analysis | |
CN102595467B (en) | Data acquisition method and data acquisition device | |
CN104283703A (en) | User login reminding method and system | |
CN102123092B (en) | A kind of multicast performance analytical method and system | |
CN114007150B (en) | PON port cracking method and device based on port flow monitoring | |
CN110457897A (en) | A kind of database security detection method based on communication protocol and SQL syntax | |
CN105743675A (en) | Method and device for acquiring information |
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 |