Intelligent optimization control system for crude benzene recovery process

Abstract

The invention discloses an intelligent optimization control system for a crude benzene recovery process. The intelligent optimization control system comprises a benzene elution process analysis module, a recovery process intelligent control module and a data mining and coordination optimization module, which are sequentially connected in series. The benzene elution process analysis module establishes a recovery process intelligent control module according to the basic data, calculates each control parameter value in a feed-forward manner, and issues the control parameter values to the recovery process intelligent control module. The recovery process intelligent control module controls the system temperature and outputs a control parameter value to correct the controlled parameter in real time. The data mining and coordination optimization module is used for making auxiliary decisions for system operation. According to the method, the control flow and the control system are optimized, and the crude benzene recovery process can be optimally controlled, so that the system efficiency is improved, the crude benzene yield is increased, the crude benzene quality is ensured, and the cost is relatively low.

Description

technical field [0001] The invention specifically relates to an intelligent optimization control system for crude benzene recovery process. Background technique [0002] The coking crude benzene recovery process belongs to the mass transfer and separation process, and its control process has the characteristics of nonlinearity, large lag and strong coupling, and the production process is easily affected by factors such as production operating conditions, external environment, and equipment status. Therefore, the coking crude benzene recovery process is relatively complicated. [0003] This complexity makes the key indicators in the production process, such as parameters such as the benzene content in the coal gas at the exit and entry sections, the benzene content in lean oil, and the quality of washed oil, unable to be detected in real time, so that it cannot be detected in time according to the change of crude benzene recovery rate. Adjusting the controlled variable of th...

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Problems solved by technology

Therefore, the coking crude benzene recovery process is relatively complicated

[0003] This complexity makes the key indicators in the production process, such as parameters such as the benzene content in the coal gas at the exit and entry sections, the benzene content in lean oil, and the quality of washed oil, unable to be detected in real time, so that it cannot be detected in time according to the change of crude benzene recovery rate. Adjusting the controlled variables of the process will result in high benzene content in the tower, impure gas, and reduced recovery of crude benzene

On the other hand, the existing system adopts a conventional control mode, which is difficult to adapt to the needs of multi-variable coordinated predictive control in the benzene elution process, and lacks coordinated and optimized operations between equipment, making operating variables such as high benzene washing absorption temperature, cycle Less oil washing amount, steam pressure, etc. fluctuate greatly, resulting in poor control quality; and the fluctuation of process parameters is large, and the production process is not stable, resulting in increased labor intensity and energy consumption in the process section, affecting the output of crude benzene and quality

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