Urban rail transit passenger monitoring data processing and analyzing system and method

Abstract

The invention relates to the technical field of urban rail transit, in particular to an urban rail transit passenger monitoring data processing and analyzing system and method, and the system comprises a data collection layer which is used for collecting video streams, gate passing records, passenger positioning data and environment parameters of temperature, humidity and illumination in real time; the spatio-temporal feature fusion layer is used for converting the video image data into analyzable feature vectors and integrating card swiping records and position information to form spatio-temporal trajectory data of passengers; the three-level anomaly detection layer comprises an individual layer detection unit, a group layer detection unit and a system layer prediction unit; the dynamic decision-making layer is used for calculating an abnormal score based on a dynamic threshold value, and dynamically adjusting a behavior coefficient according to a historical disposal effect through a PPO reinforcement learning algorithm; and the execution layer comprises an edge computing node and a cloud analysis platform. Therefore, the problems of single data acquisition, lack of comprehensive anomaly detection means, fixed and lagged decision response, ineffective utilization of resources and the like in the prior art are solved.

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