Optical Transport Service Provisioning via Knowledge-Graph Port Mapping
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Solution Overview
Problem
Current optical transport network service provisioning is complex and inefficient, relying on manual operations that are prone to errors due to the involvement of multiple parameters, leading to long provisioning periods and low efficiency.
Innovation Solution
An optical transport network service provisioning method that automatically determines service parameters such as service type, port rate, and port signal type using an association relationship represented by a knowledge graph, eliminating the need for manual configuration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual service configuration is used, then service parameters can be configured, but provisioning time is long and errors are prone to occur
Solution Approach 1:
The system performs automatic service configuration without manual intervention. The network device autonomously determines service parameters including service type, port rate, and port signal type based on the optical path, eliminating the need for manual configuration and reducing both time and errors.
Solution Approach 2:
Manual mechanical configuration operations are replaced by an automated electronic determination system. The system uses electronic processing to automatically identify service parameters from the optical path characteristics, substituting manual labor with automated technological processes.
2Ease of operation
If manual service configuration is used, then service parameters can be configured, but provisioning efficiency is low
Solution Approach 1:
The configuration process is automated to perform itself without human operation. The network device automatically determines all service parameters based on the optical path, making the system self-sufficient and eliminating manual configuration steps entirely.
Solution Approach 2:
The complex manual configuration process is extracted and replaced by an automated determination mechanism. The system extracts the essential information from the optical path and automatically derives the service parameters, removing the need for manual intervention in the configuration process.
3Extent of automation
If manual service configuration is used, then service parameters can be configured, but errors are prone to occur
Solution Approach 1:
The system autonomously determines service parameters without manual input, eliminating human error sources. The automated determination process consistently identifies service type, port rate, and port signal type based on objective optical path characteristics, ensuring high reliability.
Solution Approach 2:
The system uses the optical path as feedback to automatically determine service parameters. By continuously referencing the actual optical path characteristics, the system ensures that the configured service parameters accurately match the physical network state, improving configuration accuracy.
Data Source
AI summary
This application provides an optical transport network service provisioning method, an electronic device, and a system. Applied to a server, the method includes: obtaining a target service type, a target port rate, and a target port signal type of an optical transport network service; and determining a target port of target customer-premises equipment (CPE) based on an association relationship among a service type, a port rate, a port signal type, and CPE, where the target port of the target CPE supports the target service type, the target port rate, and the target port signal type, and the target port of the target CPE is configured to establish an optical path of the optical transport network service. In the method, a device port corresponding to the optical transport network service does not need to be manually configured, so that service provisioning duration can be effectively shortened.