Crude benzene recovery process intelligent optimization control system

Abstract

The invention discloses an intelligent optimization control system for the recovery process of crude benzene, which comprises a benzene elution process analysis module, a recovery process intelligent control module, and a data mining and coordination optimization module connected in series; the benzene elution process analysis module is established based on basic data Recycling process intelligent control module, feed-forward calculation of each control parameter value and sending to the recycling process intelligent control module; recycling process intelligent control module controls the system temperature and outputs control parameter values, real-time correction of the controlled parameters; data mining and coordination optimization To make auxiliary decisions for system operation. The method of the invention optimizes the control flow and control system, and can optimize the control of the crude benzene recovery process, thereby improving system efficiency, increasing crude benzene output, ensuring the quality of the crude benzene and relatively low cost.

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...

AI Technical Summary

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

Images