Minitype breaker asset life prediction method

Abstract

The invention discloses a method for predicting the life of a minitype circuit breaker asset. The method includes the following steps: 1. determining a variant Xi that influences the life of asset, acquiring data, i being a natural number; 2. conducting main component analysis on the variant that influences the life of asset, determining a main component Fh, h being a natural number; 3. based on the main component Fh, establishing a multivariate linear regression model; and 4. computing a value-taking interval of a minitype breaker life Y*. According to the invention, the method, by establishing a math model for leaning and an index system for comprehensive quantification, can identify key factors that influence the life of a minitype circuit breaker asset, can conduct quality and life analysis on the full life cycle of the minitype circuit breaker asset, and effectively monitor asset quality.

Description

technical field [0001] The invention relates to the field of asset management, in particular to the electric switch technology, and specifically refers to a method for predicting the asset life of a miniature circuit breaker. Background technique [0002] The State Grid Corporation of China has vigorously promoted the promotion and application of smart energy meters. At the end of 2014, it built a power consumption information collection system. As of the end of May 2014, the State Grid Corporation of China has installed 200 million smart energy meters, and each smart energy meter corresponds to a miniature circuit breaker. According to incomplete statistics, the failure rate of smart energy meters is about 0.04%, and the failure rate of smart energy meters caused by quality problems of miniature circuit breakers accounts for about 50%. On the one hand, the failure of the miniature circuit breaker will lead to frequent accidents such as electric shock, fire and explosion, an...

AI Technical Summary

Problems solved by technology

When the staff judges and handles on-site faults during operation, they need to obtain information from different management links from multiple business systems in order to carry out fault processing in a relatively complete manner, which affects work efficiency

At the same time, managers cannot intuitively control the overall quality of metering assets, and have no channels to understand the management details of individual assets. There is an urgent need for a model and method for life prediction of intelligent miniature circuit breakers to improve the reliability and stability of asset operation. sex

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