Aluminum oxide production operation optimization system and method based on cloud edge collaboration

Abstract

The invention provides an aluminum oxide production operation optimization system and method based on cloud edge coordination, and relates to the technical field of aluminum oxide production operation optimization. The system and the method comprise the following steps: firstly, full-process data of an alumina production process is collected; the data are preprocessed and then transmitted to a local collaborative production operation optimization unit, the local collaborative production operation optimization unit judges the working condition of the current aluminum oxide production process firstly, an optimization strategy needing to be operated currently is automatically switched according to the working condition, and the local operation optimization strategy obtains the actual set value of the aluminum oxide production operation index. For the situation that an aluminum oxide production process model does not exist in the local collaborative production operation optimization unit, the local collaborative production operation optimization control unit sends modeling information to the cloud storage and collaborative optimization calculation unit, and modeling and testing are conducted on the cloud. And the cloud establishes a test and operates a plurality of optimization strategies, and recommends the strategy with the minimum deviation from the historical actual set value to the local collaborative production operation optimization unit.

Description

technical field [0001] The invention relates to the technical field of alumina production and operation optimization, in particular to a system and method for optimizing alumina production and operation based on cloud-edge collaboration. Background technique [0002] Aluminum and its alloys have many excellent properties. At the same time, aluminum resources are very rich, so the aluminum industry has developed very rapidly since its inception. Large-scale equipment is conducive to the automatic detection and control of the process, and the production control and management system based on microcomputers and computers provides a huge potential for alumina plants to improve labor productivity, reduce raw material consumption and save energy. [0003] Although relevant enterprises have carried out project improvement and upgrading in terms of alumina smelting technology, there are still problems of poor raw material quality, high project energy consumption and insufficient pro...

AI Technical Summary

Problems solved by technology

[0003] Although relevant enterprises have carried out project improvement and upgrading in terms of alumina smelting technology, there are still problems of poor raw material quality, high project energy consumption and insufficient product quality. Most of the products are intermediate state alumina, which will affect the overall technical application. Management influences and restricts product structure

[0004] In the traditional alumina production process, many control indicators mainly rely on managers, dispatchers, engineers and other knowledge workers to manually set them based on experience, and the production system cannot operate under optimal conditions.

[0005] At the same time, in the whole process of alumina production, the connection between each process is very close. The products of the previous process have a great impact on the production of the next process. In the existing production system, it is difficult to integrate the data in each process Refining to obtain the optimal production index setting for the whole process

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