Equipment full life cycle management method based on data mining

Abstract

The invention discloses an equipment full life cycle management method based on data mining. The method comprises the steps of collecting equipment ledger data, operation data and maintenance data; performing feature analysis and unified representation on the data; performing dimension reduction processing on the data through a K-means data clustering algorithm to generate a similar cluster; mining an association rule between the data attributes by utilizing an Apriori algorithm; performing fault classification according to the association rule, and constructing an equipment fault prediction model; constructing an equipment portrait label system according to the weights of the equipment operation data and the maintenance data; training the equipment fault prediction model based on the equipment ledger data, the operation data and the maintenance data to obtain an asset equipment portrait prediction model; and through the asset equipment portrait prediction model, predicting to obtain an equipment portrait prediction result of full life cycle operation, and through the equipment portrait prediction result and an equipment portrait label system, optimizing enterprise equipment assetdemand purchasing, use maintenance and scrapping links.

Description

technical field [0001] The present application relates to the technical field of power grid asset management, in particular to a data mining-based equipment life cycle management method. Background technique [0002] The characteristics of modern enterprise equipment have brought many changes to the enterprise's production organization and equipment maintenance management business. On the one hand, modern equipment will bring higher economic benefits after being put into production. On the other hand, due to the continuous high-speed operation of the equipment, the wear of the parts is also increased, and the service life cycle is shortened. At the same time, a series of problems such as its downtime loss, maintenance difficulty, and maintenance cost have also increased the difficulty of the work of the equipment management department. [0003] The asset life cycle management system within the enterprise is at the core of asset management because it is a bridge connecting ...

AI Technical Summary

Problems solved by technology

[0005] This application provides a data mining-based equipment life cycle management method to solve the problem of equipment reliability, operating life, and maintenance plan that cannot be determined in the prior art. Make effective predictions, so it is impossible to achieve high returns in asset operations as a whole based on the actual operating conditions of various types of asset equipment

Images