An equipment fault classification statistics method and system and an equipment real-time quality control method and system based on keyword statistics

Abstract

The invention discloses an equipment fault classification statistics method and system and an equipment real-time quality control method and system based on keyword statistics. The equipment fault classified statistics method comprises the steps of performing module division on equipment, setting keyword information for each divided module, acquiring real-time data information, generating module fault information according to the set keyword information and the real-time data information, performing classified statistics according to the module fault information, generating a statistical result and storing the statistical result. According to the invention, the fault information is positioned to each module by performing module division on the equipment and setting keywords for each module, and the fault condition of each module can be understood in detail by performing classified statistics on the faults. The positioning and acquisition of the fault information are based on the modules and the keywords, and the modules and the keywords are from empirical data or big data analysis, so that the analysis experience of many engineers with rich experience can be quickly collected, andthe analysis result is accurate and reliable.

Description

technical field [0001] The present invention relates to the technical field of equipment management, in particular to a method and system for classification and statistics of medical equipment failures, and also to a method and system for real-time quality control of equipment based on keyword statistics. Background technique [0002] Large-scale medical equipment systems are very complex, and each equipment contains many modules. The failure of any module may affect the overall performance of the equipment. Therefore, the failure of each module deserves attention. In the prior art, the method of judging the failure of each module of large-scale medical equipment generally adopts the method of manually reading the fault log to locate the module with the problem, and then judge the overall status of the equipment. This manual reading method is time-consuming, error-prone, and very inefficient. Therefore, the industry urgently needs to propose a solution that is faster, more e...

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Problems solved by technology

[0003] An object of the present invention is to provide a solution to automatically analyze equipment faults through software, and classify and count the fault states of each module by module, so as to solve the problem of manually reading logs and locating modules in the prior art. Efficiency low-level and error-prone problem

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