Spare part material maintenance prediction method and system

Abstract

The invention relates to the technical field of spare part material overhaul prediction, and discloses a spare part material overhaul prediction method, which comprises the following steps: acquiring image information of spare part materials in a warehouse based on a handheld terminal PDA (Personal Digital Assistant); original information of spare part materials in the database is called; the image information and the original information are judged and compared in a monitoring center, and an RF ID electronic tag is generated; the handheld terminal PDA scans the RF ID electronic tag and judges whether the materials are taken or not according to a preset rule; the preset rule is that three different score systems are generated based on the use state of the current spare part in the equipment, a comprehensive value score is obtained based on the score systems, and a receiving early warning is initiated to the handheld terminal PDA according to the comprehensive value score. According to the method, the service cycle of the spare parts can be effectively prolonged, normal use of equipment is guaranteed, the material purchasing cost can be reduced, the utilization rate of the materials can be greatly increased through estimation and early warning of the comprehensive value of the spare parts, and meanwhile the accident risk can be reduced.

Description

technical field [0001] The invention relates to the technical field of spare parts material overhaul prediction, in particular to a spare part material overhaul prediction method and system. Background technique [0002] At present, the management of spare parts materials mainly focuses on the storage and use of materials. Although there are corresponding management requirements for the use cycle and maintenance cycle of spare parts on equipment, they are basically managed in the form of manual registration, which only involves Simple data records, and the data are all based on paper and a small amount of Excel files, the management of the use cycle of spare parts and the maintenance cycle is not clear, the data query efficiency is low, it is impossible to warn in advance, and the management cost is high. [0003] In the prior art, the maintenance and prediction of spare parts are carried out by using some common invoicing software, but using this management method is more b...

AI Technical Summary

Problems solved by technology

[0005] The embodiment of the present invention provides a method and system for predicting the maintenance of spare parts and materials, which is used to solve the problems in the prior art that the data update of spare parts is slow, the accuracy is poor, the management process is not perfect, the abnormality of risky spare parts is not warned in time, and there is a risk of accident. technical problem

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