Monitoring system applied to power grid production equipment

Abstract

The monitoring system applied to the power grid production equipment comprises a data acquisition module used for acquiring basic data, distribution and a line which reflect the state of the production equipment in real time, and judging the defects of the production equipment and the types and grades of the defects; the defect management module is used for counting the defect number, distribution, defect elimination number and defect elimination time of the production equipment within specific time, and storing statistical data to form historical record data; the data processing module is used for performing machine learning based on the historical record data and establishing a prediction model to predict the production equipment in the region; the plurality of mobile terminals are usedfor inputting data and are internally provided with personnel characteristic information configured with the mobile terminals; and the central control client is used for visualizing the module data and sending a real-time or prediction defect warning to the specific mobile terminal based on the information in the mobile terminal. The method is advantaged in that real-time monitoring of defect generation is realized, defect processing history records in a production domain are utilized to predict defect generation, and effective defect elimination arrangement can be further carried out according to mobile terminal configuration personnel characteristic information.

Description

technical field [0001] The invention relates to the field of power grid information, and more specifically, to a monitoring system applied to power grid production equipment. Background technique [0002] With the development of big data and the Internet of Things, its application in the power grid system is becoming more and more common, and the smart grid has also emerged as the times require. One of the applications of the smart grid is to realize remote monitoring, so as to realize the real-time grasp of production and operation conditions, which helps to closely integrate the production and operation conditions with the operation and management strategies of power grid enterprises, thereby strengthening the transparency and automation of power grid management, and realizing Better development of the grid system. [0003] In the existing technology, the Internet of Things or big data is generally used to monitor the equipment of the entire power grid. The monitoring sco...

AI Technical Summary

Problems solved by technology

[0005] The present invention aims at overcoming at least one deficiency of the above-mentioned prior art, and provides a monitoring system applied to power grid production equipment, which can not only realize real-time defective production equipment alarms, but also be based on the status of all production equipment including defective production equipment, The distribution of production equipment and the connection lines of production equipment establish a prediction model to realize the preparation of defect elimination in advance and avoid hidden dangers of defects, optimize the process of defect elimination, and provide a basis for monitoring and prediction in other aspects of power grid operation; at the same time, it can better combine personnel characteristic information in Realize targeted defect elimination when production equipment defects occur

Images