Operating parameter optimization method for complex rectifying tower

Abstract

The invention provides an operating parameter optimization method for a complex rectifying tower, which comprises the following steps: acquiring operating data of the complex rectifying tower and assay data of input materials, and preprocessing the acquired data; inputting the preprocessed operation data into a neural network model, and outputting a preliminary optimization result of the operationparameters through the neural network model; inputting the preliminary optimization result into a strict mechanism model, forming a simultaneous equation set by the strict mechanism model and a thermodynamic equation, and solving the simultaneous equation set under a preset constraint condition to obtain an optimization result of the operation parameter; adjusting operation parameters of the complex rectifying tower according to an optimization result. Operation parameters of the complex rectifying tower are optimized twice by combining the neural network model and the strict mechanism model,the neural network model obtains a preliminary optimization result of the operation parameters firstly, and the convergence rate and robustness during subsequent solving of the strict mechanism modelare increased.

Description

technical field [0001] The invention belongs to the field of industrial equipment optimization, in particular to an operation parameter optimization method for complex rectification towers. Background technique [0002] Distillation is the most common separation unit operation in chemical production, which realizes the separation, purification and recovery of 90% to 95% of chemical products. Therefore, complex distillation towers are the most important production equipment in the petroleum refining process, but they are also The production level of the equipment unit with the largest energy consumption directly affects the economic benefits of the entire enterprise and the use efficiency of raw materials. In order to improve product yield and reduce energy consumption costs, the operating parameters of complex distillation towers are usually optimized by establishing simultaneous equations based on the reaction mechanism. However, the existing optimization methods only model...

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Problems solved by technology

In order to improve product yield and reduce energy consumption costs, the operating parameters of complex distillation towers are usually optimized by establishing simultaneous equations based on the reaction mechanism. However, the existing optimization methods only model and analyze complex distillation The thermodynamic physical properties of the internal components adopt the traditional sequential module method, which reduces the solution efficiency and affects the response speed of real-time optimization

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