Design of a Control System for Rotating Equipment

Improving the equipment control capability of rotating equipment has been the focus of concern in chemical companies for energy saving and cost reduction. In this article, a visual control system including data processing, analysis and prediction was established for a pre-hydrogenation feed pump of the C5 hydrocarbon mixture separation process. 4200 sets of industrial data from a petrochemical factory were collected and screened. Moreover, five machine learning algorithms were investigated to choose the optimal model with the highest fitting effect. The designed control system achieves the real-time monitoring and the advance warning of the equipment, which benefits the process efficiency and system safety.