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Method and system for classification statistics of equipment failures and method and system for real-time quality control of equipment based on keyword statistics

A technology for classification and statistics of equipment failures, which is applied in the classification and statistics of failures, real-time quality control of equipment based on keyword statistics, and can solve problems such as low module efficiency and error-prone

Active Publication Date: 2022-07-01
北京绪水互联科技有限公司
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AI Technical Summary

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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  • Method and system for classification statistics of equipment failures and method and system for real-time quality control of equipment based on keyword statistics
  • Method and system for classification statistics of equipment failures and method and system for real-time quality control of equipment based on keyword statistics
  • Method and system for classification statistics of equipment failures and method and system for real-time quality control of equipment based on keyword statistics

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Embodiment Construction

[0026] The embodiments of the present invention will be described in detail below with reference to the accompanying drawings.

[0027] In order to realize automatic analysis and efficient analysis of equipment faults, the present invention configures fault keywords for equipment according to data provided by manufacturers or / and experience data of designers and maintenance personnel, and analyzes based on keywords and real-time equipment data, Obtain fault information for the device. The empirical data can be any data that can obtain fault information, and the keyword based on this configuration can be any keyword information that can extract fault information from the real-time data of the device. This embodiment of the present invention does not limit the specific keyword content, as long as it is an available valid keyword that can match the fault information of the device from the real-time data of the device based on the set keyword, it can be used as the key in the embo...

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Abstract

The invention discloses a method and system for classification and statistics of equipment faults, and a method and system for real-time quality control of equipment based on keyword statistics. The method and system for classification and statistics of equipment faults includes dividing equipment into modules, and for each divided module Set keyword information; obtain real-time data information, generate module fault information according to the set keyword information and real-time data information; classify and count according to module fault information, and generate statistical results for storage. By dividing the equipment into modules and setting keywords for each module, the fault information can be located to each module, and by classifying and counting the faults, it is possible to have a detailed understanding of the fault conditions of each module. Because the location and acquisition of fault information are based on modules and keywords, and the sources of modules and keywords are empirical data or big data analysis, the analysis experience of many experienced engineers can be quickly gathered, and the analysis results are 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 classifying and counting the faults of medical equipment, and also 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 one 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 a large medical equipment is generally to use the method of manually reading the fault log to locate the faulty module, and then judge the overall state of the equipment. This manual reading method is time-consuming, error-prone, and very inefficient. Therefore, there is an urgent need in the industry to propose a solution that is faster, more eff...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F11/34
Inventor 郭梅芳于宁温晓宇
Owner 北京绪水互联科技有限公司
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