Realization of comprehensive monitoring and friendly evaluation system for gas environment of rail transit station

Abstract

With the continuous extension and expansion of the metro network, the increase of train frequency leads to the increasing passenger flow. The particularity of subway station determines that it is difficult to comprehensively monitor the gas environmental quality in the platform, so how to comprehensively monitor the gas environmental quality in the platform has become an urgent problem for relevant departments. Intelligent transportation in the era of big data needs an efficient and stable monitoring, evaluation and early warning system as the support of operation. This paper introduces a comprehensive gas environment monitoring and friendly evaluation system. The system uses multi parameter integrated environmental monitoring equipment to monitor multi environmental parameters in the station in real time, builds a station environment big data platform, and introduces thermal comfort evaluation index and air-conditioning system The gas quality evaluation index model, supported by massive data mining and machine learning methods, carries out gas environmental friendly assessment and prediction, which facilitates the comprehensive monitoring of gas environmental quality by relevant departments, and lays a foundation for effectively improving the gas environmental quality in the platform.