Traceability method for leakage of dangerous gases in rail transit

Cui Du; Lei Wang; Kun Zhang; Jiayu Xu

doi:10.1117/12.2636640

8 May 2022 Traceability method for leakage of dangerous gases in rail transit

Cui Du, Lei Wang, Kun Zhang, Jiayu Xu

Proceedings Volume 12249, 2nd International Conference on Internet of Things and Smart City (IoTSC 2022）; 1224933 (2022) https://doi.org/10.1117/12.2636640
Event: 2022 2nd International Conference on Internet of Things and Smart City (IoTSC 2022）, 2022, Xiamen, China

Abstract

Most gas leakage traceability methods are unsuited to the subway platform environment. A method for tracing the sources of hazardous gases in the subway platform environment is proposed. A sample set of simulated sources is constructed through the simulation of hazardous gas diffusion. Field monitoring data is matched with all simulated source samples to identify monitoring response time, suspected sources, and suspected areas. A diffusion simulation sample set composed of 435 simulation sources and 9 test sources was constructed, and the influence of time registration accuracy and the number of sensors on the traceability results was analyzed. Results show that the positioning error (the distance between the suspected source and the test source) increases with the time registration error. More sensors mean a smaller positioning error and shorter response time. Considering the positioning error and the decreasing trend of response time and operation and maintenance costs, installing 4 sensors is cost-effective. The research results can provide reference for the prevention and control of dangerous gas leakage in subway stations.

Citation Download Citation

Cui Du, Lei Wang, Kun Zhang, and Jiayu Xu "Traceability method for leakage of dangerous gases in rail transit", Proc. SPIE 12249, 2nd International Conference on Internet of Things and Smart City (IoTSC 2022）, 1224933 (8 May 2022); https://doi.org/10.1117/12.2636640

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