A method for realizing the value analysis of OLT equipment

Abstract

This invention provides a method for value analysis of OLT equipment, enabling visualization of network broadband service operation, leveraging the value of optical broadband data, facilitating network resource reorganization and improvement, enhancing equipment value, and effectively improving customer experience. Applying this technical solution allows for comprehensive analysis of data on equipment, users, and products, identifying low-value OLT equipment, and enhancing equipment value through resource reorganization and other means. It also links equipment to complaints and fault work orders, visually presenting the impact of faults, and enabling group fault interception, effectively improving user experience.

Description

Technical Field

[0001] This invention relates to the field of information technology, and in particular to a method for realizing the value analysis of OLT equipment. Background Technology

[0002] Existing methods for OLT equipment value analysis are simplistic, focusing only on the equipment's performance and operational status. The results cannot fully reflect the true value of the OLT equipment. Effective equipment value analysis requires data from the equipment, business processes, and users. Currently, data from various systems exists as isolated information silos, hindering data sharing and preventing effective data support for scientific evaluation of equipment value. Summary of the Invention

[0003] In view of this, the purpose of this invention is to provide a method for realizing the value analysis of OLT equipment, leveraging the value of optical broadband data, facilitating network resource sorting and rectification, enhancing equipment value, and effectively improving customer perception.

[0004] To achieve the above objectives, the present invention adopts the following technical solution: a method for realizing the value analysis of OLT equipment, comprising the following steps:

[0005] Step S1: Deploy the integrated data acquisition service to collect equipment resource data, including equipment latitude and longitude, equipment-supported product information, and basic equipment information;

[0006] Step S2: Deploy the integrated data collection service to collect user information and OBD information from the device and upload it to the big data platform. Use the computing power of the big data platform to calculate resource utilization, including port and OBD usage.

[0007] Step S3: Deploy FTP file service and collect user internet authentication information;

[0008] Step S4: Construct an OLT equipment value assessment model. By integrating data, including the latitude and longitude of a single device, user quality issues, number of active public users, number of active IPTV users, PON port occupancy rate, and optical port actual occupancy rate, apply a digital model to conduct in-depth data mining and analysis, evaluate and visualize the actual value of the OLT equipment.

[0009] Step S5: Deploy device monitoring services to achieve offline detection of devices through the ICMP mechanism;

[0010] Step S6: Deploy the work order monitoring service to collect fault and complaint work order data via API and extract key information from the work orders by matching rules;

[0011] Step S7: Based on step 4, combine steps 5 and 6 to connect the equipment with faults and user reports, achieve group fault interception, and improve user experience.

[0012] In a preferred embodiment, an OLT equipment value assessment model is established. Based on data such as equipment, users, and products, a digital model is applied to analyze and evaluate the actual value of the OLT equipment. The specific implementation is as follows:

[0013] A value assessment model is established based on business indicators and indicator weights. OLT equipment is scored according to indicator weights, and a total score range or percentage range is set to determine whether the OLT equipment is a high-value or low-value equipment.

[0014] In a preferred embodiment, establishing a group obstacle interception rule base to implement intelligent interception of faults includes the following steps:

[0015] Step (1) Deploy the equipment monitoring service to achieve offline detection of OLT devices through the ICMP mechanism;

[0016] Step (2) Deploy the work order collection service to monitor fault and complaint work orders in real time via API and extract key information of the work orders by matching rules;

[0017] Step (3) Combine the data from Step (1) and Step (2) with the OLT equipment value assessment model to analyze the scope of impact on users affected by the fault;

[0018] Step (4) Establish a group fault interception rule base, formulate fault early warning indicators and interception conditions, and implement unified monitoring and intelligent interception of faults that meet the conditions;

[0019] Step (5) For high-value OLT equipment, automatically upgrade the corresponding equipment fault report level to improve the user's product experience;

[0020] Step (6) The obstacle interception process ends.

[0021] Compared with the prior art, the present invention has the following beneficial effects:

[0022] 1. Establish an OLT equipment value assessment model. By collecting and integrating data from OLT, OBD, users, costs, and quality, break down data silos and apply a big data platform for in-depth data integration and comprehensive analysis. Based on user, product, and customer perception data, accurately analyze the actual value of OLT equipment.

[0023] 2. Application value analysis conclusions: For low-value OLT equipment, the use value of the equipment can be improved through measures such as sorting out existing network resources and merging boards.

[0024] 3. Based on the application value analysis conclusions, establish a group fault interception center to achieve the connection between equipment, faults, and user reports. When the interception center detects a fault, it intelligently initiates fault judgment, analyzes the scope of user fault impact, and implements group fault interception. Attached Figure Description

[0025] Figure 1 This is a flowchart illustrating the integrated data acquisition and intelligent value analysis process of an OLT device, representing a preferred embodiment of the present invention.

[0026] Figure 2 This is a flowchart illustrating the value enhancement and intelligent management process of an OLT device according to a preferred embodiment of the present invention. Detailed Implementation

[0027] The present invention will be further described below with reference to the accompanying drawings and embodiments.

[0028] It should be noted that the following detailed descriptions are illustrative and intended to provide further explanation of this application. Unless otherwise specified, 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 pertains.

[0029] It should be noted that the terminology used herein is for the purpose of describing particular implementations only and is not intended to limit the exemplary implementations according to this application; as used herein, the singular form is intended to include the plural form as well, unless the context clearly indicates otherwise; furthermore, it should be understood that when the terms “comprising” and / or “including” are used in this specification, they indicate the presence of features, steps, operations, devices, components and / or combinations thereof.

[0030] A method for realizing the value analysis of OLT equipment, referenced Figure 1-2 This includes the following steps:

[0031] Step S1: Deploy the integrated data acquisition service to collect equipment resource data, including equipment latitude and longitude, equipment-supported product information, and basic equipment information;

[0032] Step S2: Deploy the integrated data collection service to collect user information and OBD information from the device and upload it to the big data platform. Use the computing power of the big data platform to calculate resource utilization, including port and OBD usage.

[0033] Step S3: Deploy FTP file service to collect user internet authentication information, such as the number of public users and active IPTV users; establish a data processing engine to perform preprocessing operations such as filtering, transformation and feature extraction on the above data;

[0034] Step S4: Construct an OLT equipment value assessment model. By integrating data, including the latitude and longitude of a single device, user quality issues, number of active public users, number of active IPTV users, PON port occupancy rate, and optical port actual occupancy rate, apply a digital model to conduct in-depth data mining and analysis, evaluate and visualize the actual value of the OLT equipment.

[0035] Step S5: Deploy device monitoring services to achieve offline detection of devices through the ICMP mechanism;

[0036] Step S6: Deploy the work order monitoring service to collect fault and complaint work order data via API and extract key information from the work orders by matching rules;

[0037] Step S7: Based on step 4, combine steps 5 and 6 to connect the equipment with faults and user reports, achieve group fault interception, and improve user experience.

[0038] Establish an OLT equipment value assessment model. Based on data related to equipment, users, and products, apply a digital model to analyze and evaluate the actual value of OLT equipment. The specific implementation is as follows:

[0039] A value assessment model is established based on business indicators and indicator weights. OLT equipment is scored according to indicator weights, and a total score range or percentage range is set to determine whether the OLT equipment is a high-value or low-value equipment. An example of indicator weights is shown in Table 1.

[0040] Table 1:

[0041]

[0042]

[0043] To enhance the value and intelligent management of OLT equipment, such as... Figure 2 As shown, it includes the following steps:

[0044] Enhance the value of OLT devices: Improve the value of low-value OLT devices by sorting out existing network equipment resources and merging boards.

[0045] Achieve user group fault interception: Collect fault and complaint work order data, extract key information from work orders by matching rules, realize the connection between equipment and faults and user complaints, realize the impact range analysis of faults, and realize intelligent interception.

[0046] Establishing a rule base for group fault interception and implementing intelligent fault interception includes the following steps:

[0047] Step (1) Deploy the equipment monitoring service to achieve offline detection of OLT devices through the ICMP mechanism;

[0048] Step (2) Deploy the work order collection service to monitor fault and complaint work orders in real time via API and extract key information of the work orders by matching rules;

[0049] Step (3) Combine the data from Step (1) and Step (2) with the OLT equipment value assessment model to analyze the scope of impact on users affected by the fault;

[0050] Step (4) Establish a group fault interception rule base, formulate fault early warning indicators and interception conditions, and implement unified monitoring and intelligent interception of faults that meet the conditions;

[0051] Step (5) For high-value OLT equipment, automatically upgrade the corresponding equipment fault report level to improve the user's product experience;

[0052] Step (6) The obstacle interception process ends.

[0053] The following are the abbreviated notes that appeared above:

[0054] OBD: Optical splitter. An optical splitter is a passive device, also known as an optical splitter. It is a component in building an EPON network, a passive device connecting the OLT and ONU, whose function is to distribute downlink data and centralize uplink data.

[0055] FTP (File Transfer Protocol): A standard protocol for transferring files over a network. It operates at the application layer and uses TCP instead of UDP. Before establishing a connection with the server, the client must go through a "three-way handshake" process to ensure that the connection between the client and the server is reliable.

[0056] PON: Passive Optical Network, which mainly uses passive optical power dividers (couplers) to send information to each user. A passive optical network includes an optical line terminal (OLT) installed at the central control station, and a number of matching optical network units (ONUs) installed at the user sites.

[0057] IPTV, or Interactive Network Television, is a technology that utilizes broadband cable television networks and integrates various technologies such as the Internet, multimedia, and communications to provide home users with a variety of interactive services, including digital television.

[0058] ICMP (Internet Control Message Protocol): A sub-protocol of the TCP / IP protocol suite, it is used to transmit control messages between IP hosts and routers. This protocol can be used to detect connectivity, host reachability, and route availability.

[0059] An API (Application Programming Interface) is a set of predefined interfaces (such as functions or HTTP interfaces), or a set of conventions for communication between different components of a software system. It provides applications and developers with a set of routines accessible to them based on certain software or hardware, without requiring access to the source code.

[0060] The above are preferred embodiments of the present invention. Any changes made to the technical solution of the present invention that do not exceed the scope of the technical solution of the present invention shall fall within the protection scope of the present invention.

Claims

1. A method for realizing the value analysis of OLT equipment, characterized in that, Includes the following steps: Step S1: Deploy the integrated data acquisition service to collect equipment resource data, including equipment latitude and longitude, equipment-supported product information, and basic equipment information; Step S2: Deploy the integrated data collection service to collect user information and OBD information from the device and upload it to the big data platform. Use the computing power of the big data platform to calculate resource utilization, including port and OBD usage. Step S3: Deploy FTP file service and collect user internet authentication information; Step S4: Construct an OLT equipment value assessment model. By integrating data, including the latitude and longitude of a single device, user quality issues, number of active public users, number of active IPTV users, PON port occupancy rate, and optical port actual occupancy rate, apply a digital model to conduct in-depth data mining and analysis, evaluate and visualize the actual value of the OLT equipment. Step S5: Deploy device monitoring services to achieve offline detection of devices through the ICMP mechanism; Step S6: Deploy the work order monitoring service to collect fault and complaint work order data via API and extract key information from the work orders by matching rules; Step S7: Based on step 4, combine steps 5 and 6 to connect the equipment with faults and user reports, achieve group fault interception, and improve user experience; Establishing a rule base for group fault interception and implementing intelligent fault interception includes the following steps: Step (1) Deploy the equipment monitoring service to realize offline detection of OLT equipment through the ICMP mechanism; Step (2) Deploy the work order collection service to monitor fault and complaint work orders in real time via API and extract key information of the work orders by matching rules; Step (3) Based on the data from steps S1 and S2, combine them with the OLT equipment value assessment model to analyze the scope of impact on users affected by the fault; Step (4) Establish a group fault interception rule base, formulate fault early warning indicators and interception conditions, and implement unified monitoring and intelligent interception for faults that meet the conditions; Step (5) For high-value OLT equipment, automatically upgrade the corresponding equipment fault report level to improve the user's product experience; Step (6) The obstacle interception process ends.

2. The method for realizing the value analysis of OLT equipment according to claim 1, characterized in that, Establish an OLT equipment value assessment model. Based on equipment, user, and product data, apply a digital model to analyze and evaluate the actual value of OLT equipment; the specific implementation is as follows: A value assessment model is established based on business indicators and indicator weights. OLT equipment is scored according to indicator weights, and a total score range or percentage range is set to determine whether the OLT equipment is a high-value or low-value equipment.

Images