OLT equipment offline intelligent diagnosis method and system

Abstract

The invention provides an OLT equipment off-network intelligent diagnosis method and system, and the method and system achieve the analysis of the off-network alarm of OLT equipment, carry out the intelligent fault positioning in a mode of judging the port flow, giving an alarm for the recovery time and carrying out the power-down diagnosis of an upper-layer switch, are short in time consumption of the whole process, and are accurate in positioning. Meanwhile, according to the method and the system, when a port down alarm of the BAS or the switch equipment is received, the corresponding OLT equipment is found by inquiring a two-layer topological network relationship, further detailed analysis is performed according to the type of the port, and a service alarm of the OLT is derived when the service on the OLT is influenced, so that the fault generation reason can be diagnosed in time, and normal work of the bottom layer optical network equipment is ensured, so the internet surfing client has better internet surfing experience.

Description

technical field [0001] The invention relates to the technical field of OLT equipment, in particular to an off-network intelligent diagnosis method and system for OLT equipment. Background technique [0002] At present, OLT equipment is the underlying optical network equipment, and whether the business on it is normal is directly related to the experience of online customers. However, due to the impact of the network topology, it is difficult to detect service faults in time, and the fault cause is complicated and time-consuming to locate by traditional manual methods. In traditional services, only the off-network alarms of the OLT equipment itself can be processed, and the alarm analysis of services on the equipment is not performed. [0003] Therefore, there is an urgent need for a solution that can intelligently diagnose the off-network of OTL equipment, detect OLT service alarms in time, and diagnose the cause of the fault. Contents of the invention [0004] In order ...

AI Technical Summary

Problems solved by technology

However, due to the influence of the network topology, it is difficult to detect service failures in time, and the traditional manual method of locating the cause of the failure is complicated and time-consuming

In the traditional business, only the offline alarm of the OLT device itself can be processed, and the alarm analysis of the business on the device is not performed.

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