Abstract: In order to timely grasp the abnormal situation of ticketing equipment in railway passenger stations and evaluate their health status, this paper adopted the idea of data driven and model driven interactive linkage, and proposed a ticketing equipment health status evaluation model based on data and model dual driven. The paper analyzed the historical operating data of ticketing equipment, constructed an objective function with the minimum mean square error between the predicted and actual values of equipment life as the core, and used optimization algorithms to solve the parameters of the ticketing equipment health status evaluation model, implemented evaluation of the health status of in-service ticketing equipment and selected real name verification automatic fare gate data from a certain railway passenger station for testing. The results show that the proposed model improves the accuracy of the health status evaluation of the passenger station ticketing equipment, provides a theoretical basis and decision-making basis for the refined operation and maintenance, predictive maintenance, and active operation and maintenance of passenger station ticketing equipment.