Hydrocracking product quality automatic control method and device and memory

Abstract

The invention discloses a hydrocracking product quality automatic control method and device and a memory. The hydrocracking product quality automatic control method comprises the following steps: acquiring monitoring data of a hydrocracking system; unifying acquisition periods and acquisition time points of various monitoring data according to a preset data standard of the monitoring data; determining adjustable parameter items related to the product quality in the working condition data as automatic control parameter items; constructing modeling data; performing model training on the modelingdata according to a preset target variable and a preset independent variable to generate a product quality prediction model; taking key parameter items determined from the real-time monitoring data as input, and obtaining a prediction result of a preset product of the hydrocracking system through a product quality prediction model; and when the prediction result exceeds the preset range value, generating an adjustment scheme of the automatic control parameter item according to the prediction model. According to the invention, the working condition of the hydrocracking device can be kept in areasonable running state so that the condition that the product quality is unqualified can be effectively reduced.

Description

technical field [0001] The invention relates to the petrochemical field, in particular to a hydrocracking product quality automatic control method, device and storage. Background technique [0002] With the development of information technology, the degree of informatization of petroleum refining and chemical production equipment is getting higher and higher, and a large amount of production data has been accumulated accordingly; for example, the real-time database system, distribution Distributed Control System (Distributed Control System, DCS), production process execution system MES (Manufacturing Execution System, MES), laboratory information management system (Laboratory Information Management System, LIMS) and other business systems can accumulate a large amount of data for safe production and management . But the deep mining and utilization of data is far from enough. It is of great significance and role to find the law of accidents from massive data and improve the...

AI Technical Summary

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

Images