Tail gas sulfur-containing substance concentration real-time prediction method based on stack type auto-encoder

Abstract

The invention discloses a tail gas sulfur-containing substance concentration real-time prediction method based on a stack-type auto-encoder, and aims to solve the problem of online prediction of sulfur-containing substance concentration in tail gas by applying the stack-type auto-encoder and deeply consider the unsupervised characteristic of the stack-type auto-encoder and the information loss problem of layer-by-layer feature extraction. Specifically, according to the method, in the training process, output data of all layers of encoders of the stack type auto-encoder are set as sulfur substance concentration data, so that the unsupervised problem is solved, in addition, input data of all layers of auto-encoders contain flow data capable of being measured in real time at the same time, and therefore the information loss problem is avoided. Compared with a traditional method, the method has the advantages that the output estimation value of each layer of auto-encoder is fully utilized,the least square regression is used for further improving the precision of soft measurement, and the superiority of the method relative to the traditional method is verified through a specific application case.

Description

technical field [0001] The invention relates to a soft measurement technology, in particular to a method for real-time prediction of the concentration of sulfur-containing substances in tail gas based on a stacked self-encoder. Background technique [0002] Tail gas emission is a problem that must be considered in the production of petrochemical enterprises, because the tail gas emission with sulfur content that does not meet the environmental protection standards will have a very bad impact on the air. In order to discharge tail gas that meets environmental protection standards, petrochemical companies usually install a sulfur recovery device before the tail gas is discharged. By recovering the sulfur substances in the tail gas, not only can the industrial by-products mainly sulfur be obtained, but also the tail gas can be purified. Industrial sulfur recovery units mainly involve two chemical reactions in the reactor furnace as shown below: [0003] 2H 2 S+3O 2 →2SO 2 +...

AI Technical Summary

Problems solved by technology

[0008] The main technical problem to be solved by the present invention is: how to use the stacked autoencoder to solve the problem of online prediction of the concentration of sulfur substances in the tail gas, and deeply consider the unsupervised characteristics of the stacked autoencoder and the information loss problem of layer-by-layer feature extraction

Specifically, the method of the present invention sets the output data of the encoders of each layer of the stacked autoencoder as sulfur substance concentration data during the training process, thereby solving the unsupervised problem of the stacked autoencoder itself. In addition , the input data of each layer of autoencoders includes real-time measurable flow data, so as to avoid the problem of information loss

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