Instrument scrapping evaluation method based on cloud platform big data management

Abstract

The invention provides an instrument scrapping evaluation method based on cloud platform big data management, and belongs to the field of informatization management, and the evaluation method comprises the steps that: the reference operation state data are downloaded, stored, integrated and corrected by using the cloud platform, and the current life data, the current operation data and the current operation state data of the instrument are stored; and the operation evaluation subsystem is used for performing corresponding comparative analysis on the current life data, the current operation data, the reference life data and the reference operation data to obtain current operation state data, then performing comparative analysis on the current operation state data and the reference operation state data to obtain an evaluation result, outputting a corresponding alarm, carrying out manual judgment by operation and maintenance personnel on the instrument giving the alarm, feeding the judgment result back to the operation evaluation subsystem again, and transmitting the the judgment result to the cloud platform. According to the evaluation system, related data of the instrument can be obtained in time from a network and the operation process of the instrument, whether the instrument needs to be maintained / scrapped or not is judged, instrument / equipment faults are found in time, and scrapping treatment is carried out.

Description

technical field [0001] The invention relates to the management of instruments, in particular to a method for evaluating the scrapping of instruments based on cloud platform big data management. Background technique [0002] With the transformation of production and operation management to integration, there are many problems in the use and management of instruments / equipment in laboratories or enterprises; some purchase and installation information are lost during use, resulting in the inability to know the original parameters of instruments / equipment ; Some in the process of use, due to the failure of the instrument / equipment, the measurement data deviates, which cannot be discovered in time, resulting in errors in the judgment of the experimenters on the experimental results; Lead to continued maintenance and waste of resources. In the prior art, the management of instruments / equipment in laboratories or enterprises mainly relies on manual registration, and it is impossib...

AI Technical Summary

Problems solved by technology

[0002] With the transformation of production and operation management to integration, there are many problems in the use and management of instruments / equipment in laboratories or enterprises; some purchase and installation information are lost during use, resulting in the inability to know the original parameters of instruments / equipment ; Some in the process of use, due to the failure of the instrument / equipment, the measurement data deviates, which cannot be discovered in time, resulting in errors in the judgment of the experimenters on the experimental results; Lead to continued maintenance and waste of resources, etc.

In the existing technology, the management of instruments / equipment in laboratories or enterprises mainly relies on manual registration, and it is impossible to know in time whether the instrument / equipment needs to be repaired or scrapped

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