Intelligent fault judgment method for electric power Internet of Things

Abstract

The invention discloses an intelligent fault judgment method of an electric power Internet of Things. The method comprises the following steps: S1, dividing an intelligent fault diagnosis system framework of the electric power Internet of Things into a sensing layer, a communication layer and an application layer; s2, establishing a sensing layer; s3, establishing a communication layer; s4, establishing an application layer; and S5, constructing a maintenance scheduling module. The equipment state information in the Internet of Things information platform is analyzed through cooperation of all the modules, the fault type of the equipment is judged according to a certain criterion, the fault diagnosis architecture sends a diagnosis result and related maintenance decisions to maintainers and related responsible persons in a short message mode in real time, equipment fault hidden dangers are eliminated in time, and the maintenance efficiency is improved. And the equipment is maintained, some unnecessary accidents are reduced, and the real-time performance of fault diagnosis can be effectively guaranteed.

Description

technical field [0001] The invention relates to power transmission technology, in particular to an intelligent fault judgment method for the power Internet of things. Background technique [0002] The power Internet of Things is to fully apply modern information technology and advanced communication technology such as mobile Internet and artificial intelligence around all aspects of the power system to realize the interconnection of all things and human-computer interaction in all aspects of the power system, with comprehensive status perception, efficient information processing, and convenient application. Smart service system with flexible features. The distribution network directly connects with users, and its reliable power supply capability and power supply quality not only directly reflect the economic benefits of power companies, but also correspond to immeasurable social benefits. As an important part of distribution automation, online monitoring of distribution lin...

AI Technical Summary

Problems solved by technology

[0003] The power distribution system is complex due to the many branch lines. When a short-circuit fault occurs, it often takes a lot of manpower, material resources and time to find out the specific fault location.

If the traditional way of manually finding faults is still adopted, not only the workload will be heavy, but there will also be serious deficiencies in terms of real-time performance, accuracy and applicability.

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