Feasibility analysis of a single-sensor-based approach for source identification of hazardous chemical releases

论文摘要

Source identification is critical for emergency responses to hazardous chemical releases, especially sudden releases of toxic gases. The timely arrangement of multiple sensors at the scene of a sudden accident is difficult. To overcome this limitation, a two-step source identification method based on a single sensor was developed. In the first step, the measured concentration was transmitted to the computing platform.First, a preliminary estimation of the release source was calculated from recently detected concentrations. Then, the preliminary result was used to predict the concentrations and to assess whether more measurements were needed. This data processing was conducted by the computing platform. In the second step, a new objective monitoring point was transmitted to the detector for the measurement of additional concentrations. These two steps were conducted repeatedly until the estimation adequately represented the release source. The fixed and mobile single sensor results were analyzed, and a comparison to multi-sensor results was also conducted. The results show that single-sensor source identification is attainable with a sufficient number of observations, and the number of valid concentration observations is required to be no less than the number of unknown parameters. To best estimate the release source, the movement strategy of the single sensor was based on the possible release source and the hazard partition of the gas plume. It is highly recommended that the single-sensor source identification method be used in unexpected incidents due to its flexibility and timely response.

论文目录

文章来源

类型: 期刊论文

作者: Zengqiang Chen,Lian Ye,Bo Dai,Fang Wang

来源: Chinese Journal of Chemical Engineering 2019年07期

年度: 2019

分类: 工程科技Ⅰ辑,信息科技

专业: 无机化工,有机化工,安全科学与灾害防治,自动化技术

单位: College of Information Engineering, Beijing Institute of Petrochemical Technology,School of Metallurgical and Ecological Engineering, University of Science and Technology Beijing,Office of Academic Affairs, Beijing Institute of Petrochemical Technology

基金: Supported by the Social Science Foundation of Beijing(16GLC062),the Science and Technology Projects of the Beijing Municipal Education Commission(KM201710017008),the Natural Science Foundation of Beijing(9192009)

分类号: TQ086.52;TP212

页码: 1642-1650

总页数: 9

文件大小: 717K

下载量: 6

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