Intelligent identification and diagnosis method for power digital link

Abstract

The invention discloses an intelligent identification and diagnosis method for a power digital link, and the method comprises the following steps: generating an optical cable intelligent label, and building a safety measure model; analyzing the optical cable intelligent label, wherein the analysis comprises label scanning and label information display; checking a safety measure according to the safety measure model; and according to the label analysis information and a checking result, rapidly positioning a fault and diagnosing traffic anomaly. According to the invention, the standardization of the field intelligent optical fiber label is realized by establishing an intelligent optical fiber standardization database and printing the standardization intelligent label; the complete loop in the optical fiber loop and the corresponding virtual loop information in the optical fiber loop are visually displayed through the optical fiber, so that the operation and maintenance personnel can quickly understand the actual connection condition of the on-site optical fiber, and the workload of the on-site working personnel is greatly reduced.

Description

technical field [0001] The invention belongs to the technical field of electric power, and in particular relates to an intelligent identification and diagnosis method of electric power digital links. Background technique [0002] At present, the process layer network of the smart substation uses a large number of optical fiber networking, and the normal communication of the optical fiber network is a prerequisite for the normal operation of the secondary equipment. Due to the complexity of the optical fiber network and the non-standard optical fiber identification, it is difficult to ensure that the optical fiber can be properly networked according to the design requirements during project implementation, and it is difficult to quickly find the corresponding optical fiber and view related information when problems are found and during daily inspections. Specific questions include: [0003] 1. Infrastructure stage: There are many types of drawings, and the workload of search...

AI Technical Summary

Problems solved by technology

[0003] 1. Infrastructure stage: There are many types of drawings, and the workload of searching for drawings is heavy;

[0004] 2. Debugging operation and maintenance stage: there are many optical fibers, less conventional label information, many types of drawings, and heavy workload for drawing search;

[0005] 3. Reconstruction and expansion stage: there are many optical fibers, less conventional label information, and drawings are easy to lose

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