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Multi-objective optimization for sensor placement against suddenly released contaminant in air duct system

When a chemical or biological agent is suddenly released into a ventilation system, its dispersion needs to be promptly and accurately detected. In this work, an optimization method for sensors layout in air ductwork was presented. Three optimal objectives were defined, i.e. the minimum detection ti...

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Detalles Bibliográficos
Autores principales: Gao, Jun, Zeng, Lingjie, Cao, Changsheng, Ye, Wei, Zhang, Xu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Tsinghua University Press 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7091264/
https://www.ncbi.nlm.nih.gov/pubmed/32218901
http://dx.doi.org/10.1007/s12273-017-0374-z
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author Gao, Jun
Zeng, Lingjie
Cao, Changsheng
Ye, Wei
Zhang, Xu
author_facet Gao, Jun
Zeng, Lingjie
Cao, Changsheng
Ye, Wei
Zhang, Xu
author_sort Gao, Jun
collection PubMed
description When a chemical or biological agent is suddenly released into a ventilation system, its dispersion needs to be promptly and accurately detected. In this work, an optimization method for sensors layout in air ductwork was presented. Three optimal objectives were defined, i.e. the minimum detection time, minimum contaminant exposure, and minimum probability of undetected pollution events. Genetic algorithm (GA) method was used to obtain the non-dominated solutions of multiobjectives optimization problem and the global optimal solution was selected among all of the non-dominated solutions by ordering solutions method. Since the biochemical attack occurred in a ventilation system was a random process, two releasing scenarios were proposed, i.e. the uniform and the air volume-based probability distribution. It was found that such a probability distribution affected the results of optimal sensors layout and also resulted in different detect time and different probability of undetected events. It was discussed how the objective functions are being compatible and competitive with each other, and how sensor quantity affect the optimal results and computational load. The impact of changes on other parameters was given, i.e. the deposition coefficient, the air volume distribution and the manual releasing. This work presents an angle of air ductwork design for indoor environment protection and expects to help in realizing the optimized sensor system design for sudden contaminant releasing within ventilation systems.
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spelling pubmed-70912642020-03-24 Multi-objective optimization for sensor placement against suddenly released contaminant in air duct system Gao, Jun Zeng, Lingjie Cao, Changsheng Ye, Wei Zhang, Xu Build Simul Research Article When a chemical or biological agent is suddenly released into a ventilation system, its dispersion needs to be promptly and accurately detected. In this work, an optimization method for sensors layout in air ductwork was presented. Three optimal objectives were defined, i.e. the minimum detection time, minimum contaminant exposure, and minimum probability of undetected pollution events. Genetic algorithm (GA) method was used to obtain the non-dominated solutions of multiobjectives optimization problem and the global optimal solution was selected among all of the non-dominated solutions by ordering solutions method. Since the biochemical attack occurred in a ventilation system was a random process, two releasing scenarios were proposed, i.e. the uniform and the air volume-based probability distribution. It was found that such a probability distribution affected the results of optimal sensors layout and also resulted in different detect time and different probability of undetected events. It was discussed how the objective functions are being compatible and competitive with each other, and how sensor quantity affect the optimal results and computational load. The impact of changes on other parameters was given, i.e. the deposition coefficient, the air volume distribution and the manual releasing. This work presents an angle of air ductwork design for indoor environment protection and expects to help in realizing the optimized sensor system design for sudden contaminant releasing within ventilation systems. Tsinghua University Press 2017-05-16 2018 /pmc/articles/PMC7091264/ /pubmed/32218901 http://dx.doi.org/10.1007/s12273-017-0374-z Text en © Tsinghua University Press and Springer-Verlag Berlin Heidelberg 2017 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Research Article
Gao, Jun
Zeng, Lingjie
Cao, Changsheng
Ye, Wei
Zhang, Xu
Multi-objective optimization for sensor placement against suddenly released contaminant in air duct system
title Multi-objective optimization for sensor placement against suddenly released contaminant in air duct system
title_full Multi-objective optimization for sensor placement against suddenly released contaminant in air duct system
title_fullStr Multi-objective optimization for sensor placement against suddenly released contaminant in air duct system
title_full_unstemmed Multi-objective optimization for sensor placement against suddenly released contaminant in air duct system
title_short Multi-objective optimization for sensor placement against suddenly released contaminant in air duct system
title_sort multi-objective optimization for sensor placement against suddenly released contaminant in air duct system
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7091264/
https://www.ncbi.nlm.nih.gov/pubmed/32218901
http://dx.doi.org/10.1007/s12273-017-0374-z
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