Abstract: Qingdao MMCC (metro management and control center) uses the big data analysis method to realize passenger flow analysis and portrait function for urban rail transit. By combining AFC (automatic fare collection) data with ATS (automatic train supervisory) data, Qingdao MMCC has achieved more accurate travel path matching, which overcomes the accuracy defects of traditional passenger flow analysis algorithm. From the perspective of passenger flow, MMCC realizes the portrait functions of passenger, station, train and section, as well as the function of escalator portrait combined with ISCS system data to provide a data support for more accurate passenger flow prediction and equipment maintenance.