With the rapid development of urban rail transit, the number of workers on the front line of urban rail transit is increasing. With the increase in rail transit network density in most cities, the total number of staff in a single station and the number of staff in the same shift is increasing, which adds difficulty to the overall scheduling of subway staff. At present, most urban subway station staff are arranged manually, in order to reduce manual participation in the process of scheduling, save labor costs, and enhance the rationality of working time arrangement. According to the actual demand, the intelligent scheduling system of subway staff is planned and designed.