The water-based solvent monitoring system based on industrial big data analysis was independently designed,which collected data related to water-based solvent consumption in painting workshop.The features were extracted through data preprocessing,the appropriate algorithms were selected to build models and train models,and the functions of online real-time monitoring of waterborne solvent consumption and feature importance analysis were realized,which provided data basis for solvent consumption reduction.