Virtual sensors in automated control systems for the diesel fraction hydrotreating process

Abstract

Petrochemical plants are equipped with many instruments and a large number of sensors that collect measurement data to control and monitor the process. At the same time, researchers began using large amounts of data to build predictive models, which they called virtual sensors. The article is devoted to the analysis of the use of virtual sensors within the framework of the hydrotreating process of diesel fractions. A classification of virtual sensors developed by the authors is presented, which helps to identify and select tools for monitoring, which helps to increase the accuracy, flexibility and efficiency of production control mechanisms. The authors detail the development process for virtual sensors, highlighting their potential as a strategic asset that can enhance technological productivity and improve enterprise competitiveness. The development of a block diagram of a control system for the diesel hydrotreating process is also covered, demonstrating the integration and use of virtual sensors to improve the specified process.