Batch process online-monitoring method based on small number of batches

A small amount of process data technology, applied in electrical testing/monitoring, etc., can solve problems that have not been seen in research reports

Active Publication Date: 2014-05-07
ZHEJIANG UNIV
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  • Abstract
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  • Claims
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  • Batch process online-monitoring method based on small number of batches
  • Batch process online-monitoring method based on small number of batches
  • Batch process online-monitoring method based on small number of batches

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Embodiment Construction

[0056] The present invention will be further described below in conjunction with the accompanying drawings and specific examples.

[0057] The injection molding process is a typical multi-period intermittent production process, generally consisting of three stages: injection, pressure holding, and cooling. In addition, the plasticizing process is completed at the initial stage of cooling. Specifically, in the injection stage, the hydraulic system pushes the screw to inject the plastic viscous fluid into the cavity until the cavity is filled with fluid. When the process is in the pressure-holding stage, a small amount of viscous fluid is still squeezed into the mold cavity under high pressure to compensate for the volume shrinkage of the plastic viscous fluid during cooling and plasticizing. The hold phase continues until the gate of the cavity freezes and the process enters the cooling section. When the melt at the head of the screw gradually increases and reaches a certain ...

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Abstract

The invention discloses a batch process online-monitoring method based on a small number of batches. Aiming at the defect of insufficient modeling samples under the situation of a small number of batches, the method fully utilizes the information of a small number of modeling batches to construct a novel analytical unit generalization time slice to provide sufficient samples for analysis modeling. Through the analysis on the generalization time slice, the time-varying characteristics of potential characteristics of a process are effectively extracted, and meanwhile, automatic and ordered time frame partition is conducted on the process with the time sequence during a real process considered. A multi-period monitoring model is established based on the result of the time frame partition, and the number of models and complexity are reduced. The monitoring model has good monitoring performance and is perfected through online model updating, and then monitoring reliability of the model is guaranteed. The method is simple and easy to implement, an industrial engineer can make accurate judgment on the operation state of the process conveniently and find out failures in time, and then safe and reliable operation of actual production and high quality of products are guaranteed.

Description

technical field [0001] The invention belongs to the field of statistical monitoring of intermittent processes, and in particular relates to a method for automatic division, statistical modeling and on-line process monitoring based on a small number of batches in an orderly period. Background technique [0002] As an important production method in industrial production, batch process is closely related to people's life, and has been widely used in fine chemical industry, biopharmaceutical, food, polymer reaction, metal processing and other fields. In recent years, with the more urgent market demand for multi-variety, multi-standard and high-quality products in modern society, industrial production is more dependent on the intermittent process of producing small batches and high value-added products. The safe and reliable operation of intermittent production and the pursuit of high quality products have become the focus of attention. Data-based multivariate statistical analys...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G05B23/02
Inventor 赵春晖
Owner ZHEJIANG UNIV
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