Intelligent operation and maintenance method and system based on big data

Abstract

The invention discloses an intelligent operation and maintenance method based on big data. The method comprises the following steps that: carrying out online collection and offline collection on the related data and information of each category of elements in the full life circle of the transformer, and storing and managing the collected data; analyzing and processing the collected data, and through the analyzed and processed data, carrying out online monitoring, intelligent monitoring early warning and operation and maintenance optimization on the transformer to obtain an intelligent monitoring early warning result and an operation and maintenance optimization advice; and displaying an online monitoring real-time process, pushing an intelligent monitoring early warning result and the operation and maintenance optimization advice in a display process, carrying out statistics on fault information and an operation record, and generating and outputting an intelligent statement. By use ofthe method, maintenance and operation personnel can be assisted in mastering the operation state of the transformer in real time, warning information, the diagnosis result of intelligent monitoring early warning and the maintenance and operation optimization advice are pushed in time, and the method has a revolutionary meaning for the development of the field of intelligent transformers.

Description

technical field [0001] The invention relates to the technical field of transformers, in particular to a method and system for intelligent operation and maintenance of transformers based on big data. Background technique [0002] At present, as the key equipment in the power grid, the transformer is responsible for the task of voltage conversion and power transmission, and its operation status is directly related to the safety and stability of the power system. For a long time, in order to ensure the safe and stable operation of transformers, my country's power industry has been using regular inspections and power outages to check potential safety hazards of transformers. With the implementation of the "Three Sets and Five Majors" of the power grid, the number of substation operation and maintenance personnel at the grassroots level has been reduced, and the workload has increased. The traditional inspection and inspection can no longer meet the demand. In addition, regular ...

AI Technical Summary

Problems solved by technology

With the implementation of the "Three Sets and Five Majors" of the power grid, the number of substation operation and maintenance personnel at the grassroots level has been reduced, and the workload has increased. The traditional inspection and inspection can no longer meet the demand

In addition, regular power outage maintenance is blind and mandatory to a certain extent, which will cause waste of manpower and material resources, and "over-maintenance" will reduce the reliability of equipment

At present, many power companies are trying to change the maintenance mode of transformers from "periodic maintenance" to "conditional maintenance". However, due to the complex design of transformers, the large number of key features, and the failure characteristics are not obvious, it is necessary to accurately and real-time judge the operating status and fault type of the transformer. and potential hazards are very difficult

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