Aiming at insufficient facility capability during the peak period of passenger flow at high-speed rail- way stations, based on the analysis of passenger flow data from the peak period of the National Day in Dalian North Railway Station, this paper forecast the peak hour passenger flow on the first day of National Day from 2018 to 2020 by using grey forecast model to identify the bottleneck points of the facilities in the flow line of the entrance and to analyze the adaptability of the facilities in the peak period of the passenger flow in Dalian North Railway Station. The research results show that the bottleneck at the current main streamline is Ticket Office A2, Security Checkpoint 1 and Security Checkpoint 2. Besides, by 2020, with the increase of passenger flow, the tension of the station facilities will be very prominent. The ticket office will face the biggest pressure due to the worst facility capacity adaptability of the Ticket Office B2. Finally, this paper proposed some relevant counter- measures.