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A kind of soft measurement method of acetic acid consumption of PTA device

A technology of soft measurement and acetic acid, applied in the field of soft measurement, to overcome the decline of generalization performance and improve the effect of improvement measures

Active Publication Date: 2018-12-25
BEIJING UNIV OF CHEM TECH
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Problems solved by technology

[0005] In order to be able to solve the problems existing in the soft sensing of acetic acid consumption in the PTA industrial process in the existing method, the present invention proposes a self-organized ELM network prediction model soft sensing method for the consumption of acetic acid in the PTA plant

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  • A kind of soft measurement method of acetic acid consumption of PTA device
  • A kind of soft measurement method of acetic acid consumption of PTA device
  • A kind of soft measurement method of acetic acid consumption of PTA device

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Embodiment Construction

[0036] The invention relates to a new self-organized ELM network prediction model based on the neuron-glial cell link principle and the ELM algorithm for soft measurement of acetic acid consumption in PTA industrial production. Aiming at the difficulty of measuring PTA industrial production data, the new The superior generalization performance of the self-organized ELM network prediction model for the soft measurement of acetic acid consumption in the PTA production device can obtain the improvement direction of the non-effective PTA device, which can be realized by the neuron-glial cell connection principle and the ELM algorithm The self-organization of the network structure and the fast training speed improve the generalization performance of the network at the same time, so that the soft measurement of the acetic acid consumption in the production of the PTA device can be performed more accurately, and the direction and quantitative goal of energy saving and consumption reduc...

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Abstract

The invention relates to a soft measurement method of acetic acid consumption in a purified terephthalic acid (PTA) device. The method comprises the steps of carrying out data selection; carrying out data normalization; obtaining the hidden layer node number from training sample information according to the nerve cell-spongiocyte link principle; obtaining link weight between an input layer and a hidden layer according to the Hebb rule; obtaining weight between the hidden layer and an output layer according to the extreme learning machine (ELM) algorithm; carrying out soft measurement on the variable acetic acid consumption index in the PTA key process. The key process variable in industrial production can be accurately and reliably estimated through soft measurement of the excellent and stable generalization performance of a self-organization ELM network prediction model on acetic acid consumption in the PTA production device, and therefore production efficiency of the complex industrial process can be improved.

Description

technical field [0001] The invention relates to the field of soft measurement technology, in particular to a soft measurement method for acetic acid consumption in a purified terephthalic acid (PTA) device. Background technique [0002] As one of the important raw materials in polyester chemical production, PTA involves various aspects of the national economy and has a very wide range of applications. Effectively controlling the energy consumption of PTA production equipment will greatly improve the national economy. Therefore, the research on PTA has great significance. Practical significance. As an important system for PTA production, the PTA solvent system is divided into three parts: PTA solvent dehydration tower, redistiller and reflux tank. Because the consumption of acetic acid is an important indicator to show whether a PTA production technology is effective, in order to reduce the consumption of acetic acid, it is necessary to optimize the PTA solvent system. It i...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F19/00G06N99/00G06N3/08
CPCG06N3/08G06N20/00G16Z99/00
Inventor 耿志强陈杰韩永明朱群雄徐圆崔芸菲
Owner BEIJING UNIV OF CHEM TECH