Hydrocracking product quality automatic control method, device and storage

Abstract

The invention discloses a hydrocracking product quality self-control method, device and memory, wherein the method includes the steps of: acquiring monitoring data of the hydrocracking system; unifying the collection period of various monitoring data according to the preset data standard of the monitoring data and collection time points; determine the parameter items that are related to product quality and can be adjusted in the working condition data as automatic control parameter items; construct modeling data; conduct modeling data based on preset target variables and preset independent variables Model training to generate a product quality prediction model; take the key parameter items determined from real-time monitoring data as input, and obtain the prediction result of the preset product of the hydrocracking system through the product quality prediction model; when the prediction result exceeds the preset range value , according to the prediction model to generate an adjustment scheme for automatic control parameter items. The invention can keep the working condition of the hydrocracking unit in a reasonable running state, and then can effectively reduce the unqualified product quality.

Description

technical field [0001] The invention relates to the field of petrochemical industry, in particular to a method, a device and a storage device for self-controlling product quality of hydrocracking. Background technique [0002] With the development of information technology, the degree of informatization of petroleum refining and chemical production units has become higher and higher, and a large amount of production data has been accumulated accordingly; for example, the real-time database system, distribution Business systems such as Distributed Control System (DCS), Manufacturing Execution System (MES), and Laboratory Information Management System (LIMS) can accumulate a large amount of data for safe production and management. . However, the deep mining and utilization of data is far from enough. It is of great significance and function to find the law of accident occurrence from massive data and improve the management level of safety production. [0003] The inventor f...

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Problems solved by technology

[0003] After research, the inventor found that in the prior art, due to the large differences in the data quality of these historical data, and the influence of various working condition parameters on the product quality of hydrocracking products is not clear enough, it is still not possible to pass the pre-assessment Working condition adjustment to effectively control the product quality of hydrocracking unit

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