Data processing method and equipment and computer storage medium

Abstract

The embodiment of the invention discloses a data processing method. The method comprises the following steps: acquiring a plurality of historical data acquisition positions corresponding to a production flow of a production system and an operation index type corresponding to each historical data acquisition position; constructing a first neural network model based on the plurality of historical data acquisition positions and the operation index type corresponding to each historical data acquisition position; acquiring historical sample data from a historical database, wherein the historical sample data comprises acquisition data corresponding to each operation index type and the product yield of the production system; and carrying out model training on the first neural network model by adopting the historical sample data to obtain a target neural network model. The embodiment of the invention further provides electronic equipment and a computer readable storage medium.

Description

technical field [0001] The present invention relates to the field of computer technology, in particular to a data processing method, device and computer storage medium. Background technique [0002] With the rapid development of neural network technology, the application of neural network technology in production, life, entertainment and other fields is becoming more and more extensive. For example, in petrochemical and other process manufacturing industries, the type of process operation indicators such as temperature and pressure of process manufacturing production equipment directly determines the yield of high-value output products. In the prior art, machine learning algorithms are usually used to establish the relationship between the process index of the process manufacturing production device and the yield of high-value output products. Based on this relationship, the type of process operation index can be obtained based on the maximization of the yield of high-value ...

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Problems solved by technology

[0004] In order to solve the above-mentioned technical problems, the embodiment of the present invention expects to provide a data processing method, equipment and computer storage medium, which solves the problem in the prior art that the analysis samples are unreasonable and the accuracy of the model established by the machine learning algorithm is low. The model conforms to the actual manufacturing process of the process manufacturing industry, which improves the accuracy of the model

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