Abstract: Aiming at the problems of limited monitoring methods, scattered monitoring data, low data utilization, lack of early warning mechanism and backward maintenance mode in the equipment management of refining and chemical enterprises, the key parameters affecting the main equipment of petrochemical installations were analyzed to determine the warning values; an equipment monitoring and warning platform was developed. Various monitoring data were unified into a management platform to realize comprehensive data analysis and deep data mining, which facilitates the equipment management personnel to find out the hidden problems of equipment operation in time and take preventive measures to achieve preventive maintenance.

Key words: equipment monitoring, warning, big data, predictive maintenance