Method and device for evaluating effective execution degree of standardized operation

Abstract

The invention provides a standardized operation effective execution degree evaluation method and device. The method comprises the following steps: carrying out industrial data acquisition; performing multi-machine learning and evaluation analysis on the collected industrial data according to a multi-machine learning and evaluation method to obtain corresponding operation execution evaluation parameters; and performing weight distribution on the job execution evaluation parameters, establishing a membership matrix, and further obtaining an execution evaluation result through machine learning. According to the method, data acquisition, processing and analysis are carried out by using technologies of data acquisition, remote control, machine learning, database, feedback display and the like and a multi-machine learning and multi-stage evaluation method, so that the effective execution degree of standardized operation is evaluated; compared with traditional methods such as expert evaluation and manual inspection, the device and the method have the advantages that data can be quickly and accurately processed and analyzed, uniform standards are achieved, quantitative use of the device and the method is achieved for different standardized operation processes, and digitization and intellectualization are achieved for industrial production at the same time.

Description

technical field [0001] The invention belongs to the technical field of evaluating the effectiveness of standardization execution, and in particular relates to a method and device for evaluating the effective execution degree of standardized operations. Background technique [0002] With the development of Industry 4.0, the manufacturing industry has taken the digitalization of industrial production as an important goal of development, and established an industry database to realize industrial data interconnection and big data analysis. For the standardized operation process in the manufacturing industry, the digitization of the standardized operation process and process can also be realized by establishing a standardized operation system, standardized operation software, and standardized operation procedures. However, traditional methods such as expert scoring, manual inspection of product quality, and whether the production line is congested are still used to evaluate wheth...

AI Technical Summary

Problems solved by technology

However, traditional methods such as expert scoring, manual inspection of product quality, and whether the production line is congested are still used to evaluate whether operators fully implement standardized operating procedures and the degree of execution. The evaluation process is slow and inefficient, and it is not digital and intelligent. Due to the inconsistency of different experts and personnel evaluation standards, the evaluation is inaccurate and cannot be quantified, and industrial digitization cannot be realized

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