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

Zengqiang Chen; Lian Ye; Bo Dai; Fang Wang

doi:10.1016/j.cjche.2019.01.016

Your Location：

Home >

Browse articles >

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

Process Systems Engineering and Process Safety | Updated：2026-01-06

- Feasibility analysis of a single-sensor-based approach for source identification of hazardous chemical releases
- Feasibility analysis of a single-sensor-based approach for source identification of hazardous chemical releases
- 中国化学工程学报（英文版） 2019年27卷第7期页码：1642-1650
- Affiliations：
  
  1. College of Information Engineering, Beijing Institute of Petrochemical Technology,Beijing,China,102617
  2. School of Metallurgical and Ecological Engineering, University of Science and Technology Beijing,Beijing,China,100083
  3. Office of Academic Affairs, Beijing Institute of Petrochemical Technology,Beijing,China,102617
- Author bio：
- Funds：
- DOI：10.1016/j.cjche.2019.01.016
  中图分类号：
- 纸质出版：2019
- Accepted：
Scan QR Code
Zengqiang Chen, Lian Ye, Bo Dai, 等. Feasibility analysis of a single-sensor-based approach for source identification of hazardous chemical releases[J]. 中国化学工程学报（英文版）, 2019,27(7):1642-1650.

Zengqiang Chen, Lian Ye, Bo Dai, Fang Wang. Feasibility analysis of a single-sensor-based approach for source identification of hazardous chemical releases[J]. Chinese Journal of Chemical Engineering, 2019, 27(7): 1642-1650.
Zengqiang Chen, Lian Ye, Bo Dai, 等. Feasibility analysis of a single-sensor-based approach for source identification of hazardous chemical releases[J]. 中国化学工程学报（英文版）, 2019,27(7):1642-1650. DOI： 10.1016/j.cjche.2019.01.016.

Zengqiang Chen, Lian Ye, Bo Dai, Fang Wang. Feasibility analysis of a single-sensor-based approach for source identification of hazardous chemical releases[J]. Chinese Journal of Chemical Engineering, 2019, 27(7): 1642-1650. DOI： 10.1016/j.cjche.2019.01.016.

摘要

Abstract

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.

关键词

Keywords

references

浏览量

Downloads

CSCD

文章被引用时，请邮件提醒。

Submit

工具集

关联资源

Optimizing energy efficiency in fluid catalytic cracking units with GA and NSGA-II: A comprehensive simulation and multi-factor analysis

Enhancing corrosion resistance of heat-assisted forming titanium bipolar plate for proton exchange membrane fuel cell through optimized heat treatment

Novel intensification strategy for the liquid-only transfer dividing wall column separating ternary mixtures based on the column grand composite curve

Source term estimation of hazardous gas leakages under turbulent atmospheric transport dispersion scenarios

Design and optimization of microalgae photobioreactors for treatment of nitrogen and phosphorus in wastewater