Modified adaptive batch process optimization method based on latent variable process migration model

Abstract

The invention discloses a modified adaptive batch process optimization method based on a latent variable process migration model, which comprises steps of: obtaining input data and output data of an old batch process and a new batch process; according to the input data and the output data of the old batch process and the new batch process, establishing a latent variable process migration model; during production a new batch process, obtaining the predicted output data of the current batch according to the latent variable process migration model and the optimal input data of the current batch,and according to the latent variable process migration model and the input data of the current batch, obtaining the optimal input data of the next batch; updating the latent variable process migrationmodel according to the optimal input data and the actual output data of the current batch; according to the predicted output data and the actual output data of multiple batches in the new batch process, determining whether the stability of the new batch process satisfies the requirements or not; and if the stability of the new batch process satisfies the requirements, partially excluding the input data and the output data of the old batch process.

Description

technical field [0001] The invention relates to the technical field of batch process optimization control in industrial production processes, in particular to a modified adaptive batch process optimization method based on a latent variable process migration model. Background technique [0002] In industrial production and manufacturing, the batch process is also called the batch production process, which is widely used in the production and manufacture of food, chemical, pharmaceutical and other products, and plays a very important role in the national economy. With the development of society, people's requirements for product quality, production cost, environmental protection, etc. are constantly improving, and batch process quality control and optimization also play an increasingly important role in product production, environmental protection, etc. . Therefore, it is necessary to study and propose advanced batch process quality optimization methods to improve the compreh...

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