Abstract: This paper designs an open-pit mine truck working condition monitoring system, which integrates truck running status, tire status and fuel consumption detection, provides real-time display information for truck drivers and managers, and has the function of determining the safety of trucks through data mining. Based on the characteristics of truck working condition data, a truck tire safety data mining model based on cyclic neural network is designed. The experimental results show that the model has high accuracy and practicability.