ODN Topology Processing via Onsite Image Recognition
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Solution Overview
Problem
Current optical communications networks face inefficiencies and high costs due to manual recording with paper labels, leading to inaccurate data and labor-intensive management of optical fiber resources, making it difficult to identify and maintain optical distribution network (ODN) devices effectively.
Innovation Solution
A topology processing method and system that uses onsite image collection and analysis to automatically identify cables, ports, and devices, generating correspondences between ODN devices, ports, and cables, eliminating the need for paper labels and enabling automated resource sorting and management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual recording with paper labels is used to identify and manage optical fiber resources, then device identification can be achieved, but labor costs increase and management efficiency decreases
Solution Approach 1:
The patent replaces the mechanical system of manual paper label attachment and reading with an automated image recognition system. The topology processing apparatus captures images of ODN devices and uses optical character recognition to automatically extract identification information, eliminating the need for manual paper label handling and significantly improving management efficiency.
Solution Approach 2:
The system enables self-service by allowing ODN devices to automatically provide their identification information through visible labels or codes. The topology processing apparatus autonomously captures images and extracts data without requiring human intervention for data entry, making the identification process self-sufficient and efficient.
2Reliability
If manual recording with paper labels is used, then resource identification is possible, but data accuracy decreases due to human error
Solution Approach 1:
The patent replaces error-prone manual data entry with automated optical character recognition technology. The system captures images of identification labels on ODN devices and automatically converts them into digital data, eliminating transcription errors and improving both data accuracy and reliability of resource identification.
3Ease of operation
If paper labels are used for recording, then device identification can be performed, but maintenance difficulty increases due to label damage and blurring
Solution Approach 1:
The patent creates a digital copy of the physical identification labels through image capture and optical character recognition. Instead of relying on physical paper labels that can deteriorate, the system generates and stores digital representations of device identifiers, which can be accessed and updated without physical wear and tear, significantly easing maintenance difficulties.
4Productivity
If manual recording methods are used, then resource sorting can be performed, but time consumption increases
Solution Approach 1:
The patent replaces time-consuming manual recording and sorting operations with automated image capture and processing. The topology processing apparatus quickly captures images of multiple ODN devices and automatically extracts and organizes identification information, reducing the time required for resource sorting by a significant margin compared to manual methods.
Data Source
AI summary
A topology processing method, apparatus, and system are provided. The topology processing method includes: obtaining, by a topology processing apparatus, a first onsite image collected from an optical distribution network ODN, where the first onsite image includes at least an imaging of a first port of a first ODN device, the first port is connected to a first cable, a first identification area used to identify the first cable is disposed on the first cable, and the first onsite image further includes at least an imaging of the first identification area on the first cable; and identifying, by the topology processing apparatus, the first cable based on the first identification area on the first onsite image, and identifying, based on the first onsite image, the first port connected to the first cable; and generating a first correspondence between the first ODN device, the first port, and the first cable.