Data-driven aluminum electrolysis digital twin factory, control method and system

Abstract

The invention discloses a data-driven aluminum electrolysis digital twin factory, a control method and a system. The method includes: obtaining the operation record executed by the industrial equipment in the aluminum electrolysis workshop and the characteristic parameters of the aluminum electrolysis cell; taking the characteristic parameter and the operation record as input The fusion decision-making model is trained by the data. In the fusion decision-making model, the multi-source heterogeneous data fusion model is to input the structural data in the characteristic parameters into the neural network branch N 1 Get the first feature, input the unstructured data into the neural network branch N 2 The second feature is obtained in the second feature; the deep fusion feature is obtained by fusing the first feature and the second feature; the decision model in the fusion decision model is obtained by using the deep fusion feature as the input of the decision model, and the operation record as the training label. decision making. The invention solves the problem that heterogeneous data of different frequencies and sources cannot be fully utilized in an aluminum electrolysis factory, and lays a foundation for the construction of a digital twin factory in the field of aluminum electrolysis.

Description

technical field [0001] The invention belongs to the technical field of aluminum electrolysis, and in particular relates to a data-driven aluminum electrolysis digital twin factory, control method and system. Background technique [0002] The aluminum electrolysis industry plays a decisive role in the development of the national economy and society. Among them, the aluminum electrolysis control technology is the key technology to support the rapid development of modern aluminum electrolysis technology and aluminum electrolysis process indicators. Driven by the new situation that the non-ferrous metal industry represented by the aluminum electrolysis industry is transforming towards informatization and intelligence, it is extremely important to carry out research on key scientific issues of aluminum electrolysis detection, integrated control and intelligence for smart factories. [0003] Generally speaking, the intelligent manufacturing of aluminum electrolysis is still in its...

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide a data-driven aluminum electrolysis digital twin factory control method and system, which solves the problem that a large number of heterogeneous data of different frequencies and sources cannot be fully utilized in aluminum electrolysis factories by fusing multi-source heterogeneous data , using the deep features obtained by fusion can realize the optimal control of the aluminum electrolysis production process under the premise of ensuring the stable production of aluminum electrolysis, and realize the construction of a digital twin factory in the field of aluminum electrolysis

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