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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Problems solved by technology

[0005] The present invention aims at at least to a certain extent to solve the technical problem that the process model cannot be accurately established due to the lack of data in the new batch process, so that the quality optimization cannot be implemented. Therefore, the purpose of the present invention is to propose a process migration based on latent variables The modified adaptive batch process optimization method of the Latent Variable Process Transfer Model (LV-PTM) can quickly establish a new batch process model, effectively implement quality optimization, and the quality optimization effect and efficiency are high, thereby improving the enterprise comprehensive economic benefits

[0007] According to the modified adaptive batch process optimization method based on the latent variable process migration model of the embodiment of the present invention, the latent variable process migration model is established by using the data of the new and old batch processes, which effectively solves the problem that the data in the new batch process is less and cannot be accurate. Establish a process model, so that the problem of quality optimization cannot be implemented, so as to quickly establish a new batch process model and effectively implement quality optimization; through the elimination of old batch process data and continuous update of the model, continuously improve the quality optimization of the new batch process effect, greatly improving the efficiency of quality optimization for new batch process modeling with insufficient data, and improving the comprehensive economic benefits of enterprises

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