Research on recommendation system for railway intelligent monitoring

With the increasing development of the railway industry, the railway transportation is becoming intelligent and digital. In order to ensure the safety of railway transport tasks, station monitoring is an indispensable guarantee means. However, with the increasing establishment of the train station, and the increasing complex environment, the number of cameras in the station has dramaticlly growing. Traditional human monitoring methods have difficult to bear the increasingly heavy monitoring tasks, so we propose a recommendation system for intelligent monitoring of railway transport. Unlike the recommendation systems in other fields, the railway oriented recommendation system has a limited number of users, and the user’s viewing focus is highly related to the train arrival and departure schedule. Therefore, we propose a recommendation system based on the user’s behaviors and the train arrival and departure schedule in the station. To simplify the work of monitoring staff and accurately recommend the key monitoring pictures that are worth paying attention to at present.