A Judgment Method of Real-time Sampling Point Stage Attribute in Batch Process Based on Information Transmission

Abstract

A method for judging the phase attribution of real-time sampling points in intermittent processes based on information transmission relates to the technical field of data-driven multivariate statistical process monitoring (MSPM). The present invention realizes stage attribution judgment of real-time sampling points during on-line monitoring on the basis of multi-stage intermittent process fault detection, and improves monitoring performance. In order to ensure the safe and stable operation of the penicillin fermentation process, and to improve the effectiveness of the existing monitoring methods for the penicillin fermentation process, segmental modeling of the fermentation process batch data is an effective means to improve the accuracy of the model. The present invention mainly aims at the problem of how to accurately select the monitoring model of the corresponding stage for the real-time sampling point when the segmented modeling of the penicillin fermentation process is used for online monitoring. Information iteration outputs stable stage attribution results to guide model selection during online monitoring.

Description

technical field [0001] The invention relates to the technical field of data-driven multivariate statistical process monitoring (MSPM), in particular to a method for judging the stage attribution of real-time sampling points during online monitoring of multi-stage intermittent processes. The present invention realizes stage attribution judgment of real-time sampling points during on-line monitoring on the basis of multi-stage intermittent process fault detection, and improves monitoring performance. Background technique [0002] When the data-driven multivariate statistical method is used for the process monitoring of the batch process, it does not need to consider the complex process mechanism characteristics. Through the modeling and analysis of historical data, it can be judged whether the operation status of the production process is abnormal. As one of the important production methods in modern process industry, batch process is widely used in the preparation of biomedic...

AI Technical Summary

Problems solved by technology

However, the above methods are all based on a default assumption that the data at the same moment belong to the same stage, that is, the same stage is of equal length in all production batches

However, this is not the case in the actual production process. The production of different batches is different due to various conditions, resulting in differences in the length of the internal stages of the process between different batches, such as figure 1 shown

Therefore, the stage assignment of real-time sampling points based on time may divide the data of different stages into one category, thereby affecting the accuracy of the monitoring model, resulting in a large number of false alarms and missed alarms

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