Method for predicting faults in cascade polymerization reaction process of high density polyethylene (HDPE)

Abstract

The invention provides a method for predicting faults in the cascade polymerization reaction process of high density polyethylene (HDPE), which is applied to the technical field of HDPE production. The method is characterized by building, in combination with the extension theory, a process multi-dimensional element model combining quantitative and qualitative analysis, exploring the divergence, correlation, implication and extendability of such elements as process parameters of the model, operating parameters and equipment parameters, focusing on study of the fault recognition strategies based on extension inference, building a reaction process model in combination with the artificial neural network technology, improving the fault prediction performance and finally forming the method for predicting the faults in the cascade polymerization reaction process of HDPE with production grade being 9455F. The method has the characteristics of flexibility in representation modes, strong inferential capability, low use requirements of users and convenience in management and offers helps for ensuring safe HDPE production and improving the polymer product quality.

Description

technical field [0001] The present invention is based on the cascaded polymerization reaction process of high density polyethylene (HDPE) with the production grade of 9455F, and proposes an online data preprocessing, neural network modeling and extension fault related to the complex process industry. method of identification. Background technique [0002] With the rapid progress of polymer material science and technology and the continuous improvement of production technology, a revolutionary progress has taken place in the field of pipelines, namely "plastic strip steel". In this revolution, High Density Polyethylene (HDPE) pipes are favored because of their extremely high mechanical strength and high-speed processing performance, and are currently widely used in gas transmission, water supply, sewage, and agricultural irrigation , fine particle solid transportation in mines, and oil fields, chemical industry, post and telecommunications and other fields, especially in gas...

AI Technical Summary

Problems solved by technology

However, due to the complex process structure of the HDPE production system, the key quality variables of the system need to be analyzed offline. Once a small deviation occurs somewhere in the production process, the cause of the failure cannot be inferred in time, which greatly affects the production efficiency of the enterprise.

In addition, due to the overhaul after the system has problems, the generated waste has brought huge losses to the enterprise, and the sick work of the equipment may even cause more serious damage

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