Industrial production quality analysis early warning method and system

Abstract

The invention provides an industrial production quality analysis and early warning method and system. Analysis and early warning of industrial production product quality are realized; the method comprises steps that product data produced by industrial equipment on site is analyzed through the industrial production quality early warning analysis platform, firstly, the industrial data is subjected to data connection and connected to the industrial production quality early warning analysis platform, and after the data is connected, a data set needs to be created, data modeling needs to be built,and preparation work of data analysis is completed. And then a data instrument panel is created to perform combined display on various data fields, defective products and scraped products of productsare finally analyzed. The production efficiency and the yield of equipment are monitored, the equipment with relatively high scraped products is discovered in time, and problems are discovered in time. Parameter optimization is automatically carried out on production equipment, the product yield is improved, the production cost is reduced, manual quality inspectors of factories are reduced, and the intelligence of the factories is improved.

Description

technical field [0001] The present invention relates to the technical field of data analysis, in particular to an industrial production quality analysis and early warning method and system. Background technique [0002] At present, industrial enterprises are still in a "primitive" state and rely on a lot of manpower. In the past, most enterprises used the experience of old masters to preset or change the production equipment for the quality control of industrial products. This method not only wastes a lot of manpower and time, but also requires the actual operator to have strong experience. And this kind of experience is often irreproducible, and personnel can only have a certain amount of experience through long-term accumulation. Industrial production data is scattered in different enterprise equipment or systems. The early warning methods are often identified by a large number of masters, and the tuning strategies of production equipment are manually calculated, which ha...

AI Technical Summary

Problems solved by technology

In the past, most enterprises used the experience of master craftsmen to preset or change the production equipment for the quality control of industrial products. This method not only wastes a lot of manpower and time, but also requires the actual operator to have strong experience.

And this kind of experience is often irreproducible, and personnel can only have a certain amount of experience through long-term accumulation

Industrial production data is scattered in different enterprise equipment or systems. The early warning methods are often identified by a large number of masters, and the tuning strategies of production equipment are manually calculated, which has a lag

[0003] Patent document CN110879820A provides an industrial data processing method and device, by collecting industrial data generated by at least a part of the production process; correlating each industrial data according to the process time of each industrial data collected; performing abnormal detection on each industrial data after time correlation, Through effective data processing technology, the discrete production process is stitched together, and the problem is quickly located through the analysis of the entire production link. However, the above patent documents only focus on detecting abnormalities after time correlation of data, and do not involve automatic early warning and adjustment from other angles. excellent

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