Big data based power grid information operation and maintenance active early-warning method

Abstract

The present invention belongs to the field of information technologies, and discloses a big data based power grid information operation and maintenance active early-warning method. A system comprises state early-warning, threshold early-warning, fast change early-warning, trend early-warning, evaluation early-warning and association early-warning, so that effective combination of the information operation and maintenance active early-warning method and the information operation and maintenance system is implemented, promotion and application of a bid data technology in a power grid information operation and maintenance field are implemented, and efficient statistical analysis, mining analysis and real-time stream processing of information operation and maintenance data are implemented based on the big data technology, data value is effectively mined, active early-warning is implemented, and efficiency of information operation and maintenance is improved.

Description

technical field [0001] The invention belongs to the field of information technology, and relates to an early warning method for power grid information operation and maintenance, in particular to an active early warning method for power grid information operation and maintenance based on big data. Background technique [0002] In recent years, with the rapid development of information construction, the number of information systems of power grid companies has continued to increase, and higher standards and requirements have been put forward for daily operation and maintenance. At present, the passive operation and maintenance mode of alarming and repairing after the fault occurs is mainly adopted. This mode causes the operation and maintenance personnel to spend most of their daily time and energy on dealing with simple and repetitive "passive fire fighting" problems. A vicious chain reaction ensues. Lack of the ability to give early warning to the information operation and ...

AI Technical Summary

Problems solved by technology

[0005] 1. At present, the company's information operation and maintenance system has realized post-event alarming and initially realized real-time alarming, but it has not realized active early warning. It lacks the ability to give early warning when hidden dangers and abnormalities occur in the information operation and maintenance system, and lacks the ability to solve hidden dangers lack of supporting management system;

[0006] 2. Failure to establish an active early warning method system for information operation and maintenance, lack of theoretical support and implementation means for active early warning of information operation and maintenance;

[0007] 3. Failure to use big data technology to effectively manage information operation and maintenance data, and failure to establish a scientific and reasonable operation data analysis system and business event analysis system. It is urgent to improve data analysis methods to realize the value of operation and maintenance data

Images