Oil refining process online optimization method and device based on case library and steady state detection

Abstract

The invention discloses an oil refining process online optimization method and an oil refining process online optimization device based on a case library and steady state detection. The oil refining process online optimization method comprises the steps of: acquiring historical data from each preset time length of a database of a factory, generating historical cases and storing the historical cases into a historical case library; acquiring current production data from the database of the factory, and generating a current production case; and performing fuzzy matching on the current productioncase and the historical cases in the historical case library to obtain the historical case which satisfies a preset condition with fingerprint data of a current production state, sorting the historical cases according to assessment data to obtain a referable historical case set superior to the current production case, so as to optimizing the oil refining process according to the historical case set. The oil refining process online optimization method effectively solves the practical problems and defects of the related art, that is, solves the problems of poor real-time performance and precision of data, large calculation cost and the like, can realize real-time online optimization of the oil refining process, and is simple and easy to implement.

Description

technical field [0001] The invention relates to the technical fields of the chemical industry and the process industry, in particular to an online optimization method and device for an oil refining process based on a case library and steady-state detection. Background technique [0002] At present, intelligent manufacturing has become an important research direction of the process industry at this stage, and domestic research on intelligent manufacturing has entered into practical action. An important research field of intelligent manufacturing is real-time online optimization. In the oil refining industry, providing better operating parameters in real time for feed changes can improve the product yield and product quality of the factory. In addition, the historical production data generated in real time has great application potential and application value. [0003] In related technologies, for the optimization of the operation strategy of the refining process, there is a ...

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Problems solved by technology

[0007] For this reason, an object of the present invention is to propose a kind of refinery process online optimization method based on case base and steady-state detection, this method effectively solves the practical difficult problem and defect of related technology, promptly solves the real-time data, poor accuracy, calculation High cost and other issues, it can better realize the real-time online optimization of the refining process, which is simple and easy to implement

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