Industrial production flow prediction method

Abstract

The invention provides an industrial production flow prediction method. With the method adopted, production operation can be predicted, and the standard operation level of industrial production can be improved. The method includes the following steps that: historical production data are acquired; a machine learning method is utilized to establish a simplified model according to the associations between reactants and resultants in the industrial production; a data mining method is utilized to perform mining analysis on historical production data, and the coefficients of the simplified model are solved according to analysis results, so that an operation prediction model can be obtained; and production operation is predicted through the operation prediction model. The industrial production flow prediction method of the invention is suitable for the industrial production process control field.

Description

technical field [0001] The invention relates to the field of industrial production flow control, in particular to an industrial production flow prediction method. Background technique [0002] The difficulty in industrial production process control is that the large-scale industrial production process is complex, and there are many factors affecting the production process. Moreover, most industrial production sites have low electronic levels. In the prior art, the operation process only relies on manual labor, and the process control all relies on manual experience judgment. , with a low degree of standardization. Although large-scale industrial production has certain standardized processes for production operations, these processes are only used as indicators to measure operations, and they appear too rigid in the guidance of production operations. [0003] Taking the production flow of copper, steel, and mining as an example, this type of production process often involves...

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Problems solved by technology

[0006] The technical problem to be solved by the present invention is to provide a method for predicting industrial production processes to solve the problems existing in the prior art that the operation process only relies on manual work, process control all relies on manual experience, production operation prediction is difficult, and the standardization degree is low.

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