About: Experimental study on a comprehensive particle swarm optimization method for locating contaminant sources in dynamic indoor environments with mechanical ventilation

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About: Experimental study on a comprehensive particle swarm optimization method for locating contaminant sources in dynamic indoor environments with mechanical ventilation Goto Sponge NotDistinct Permalink

An Entity of Type : schema:ScholarlyArticle, within Data Space : wasabi.inria.fr associated with source document(s)

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type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
title	Experimental study on a comprehensive particle swarm optimization method for locating contaminant sources in dynamic indoor environments with mechanical ventilation
Creator	Li, Xianting Cai, Hao Chen, Zhilong Feng, Qilin Li, Fei Lu, Jingyu Xu, Jiheng Yang, Yibin
source	Elsevier; Medline; PMC
abstract	Source localization is critical to ensuring indoor air quality and environmental safety. Although considerable research has been conducted on source localization in steady-state indoor environments, very few studies have dealt with the more challenging source localization problems in dynamic indoor environments. This paper presents a comprehensive particle swarm optimization (CPSO) method to locate a contaminant source in dynamic indoor environments with mechanical ventilation and develops a multi-robot source localization system to experimentally validate the method. Three robots were used to test the presented method in a typical dynamic indoor environment with periodic swinging of the air supply louvers of a cabinet air conditioner. The presented method was validated with two typical source locations, DS (in the downwind zone) and RS (in the recirculation zone). For DS and RS, 15 and 14 experiments out of 15 experiments were successful, with success rates of 100% and 93.3%, and each robot moved an average of 24.4 and 23.6 steps, respectively. The presented method was also compared with the standard particle swarm optimization (SPSO) and wind utilization II (WUII) methods for locating the source at DS. For the SPSO and WUII methods, only 3 and 6 experiments out of 15 experiments were successful, with success rates of 20% and 40% and averages of 33.0 and 38.0 steps, respectively. The experimental results show that the presented method not only has a much higher success rate than the SPSO and WUII methods but also has higher source localization efficiency.
has issue date	2019-08-01(xsd:dateTime)
bibo:doi	10.1016/j.enbuild.2019.03.032
bibo:pmid	32288120
has license	no-cc
sha1sum (hex)	a080640d17fb8db7f8bf5b0eebb8cf24c8396aae
schema:url	https://doi.org/10.1016/j.enbuild.2019.03.032
resource representing a document's title	Experimental study on a comprehensive particle swarm optimization method for locating contaminant sources in dynamic indoor environments with mechanical ventilation
has PubMed Central identifier	PMC7111221
has PubMed identifier	32288120
schema:publication	Energy Build
resource representing a document's body	covid:a080640d17fb8db7f8bf5b0eebb8cf24c8396aae#body_text
is schema:about of	named entity 'CONTAMINANT' named entity 'averages' named entity 'steady-state' named entity 'Although' named entity 'standard' named entity 'problems' named entity 'mechanical ventilation' named entity 'PARTICLE SWARM' named entity 'EXPERIMENTAL STUDY' covid:arg/a080640d17fb8db7f8bf5b0eebb8cf24c8396aae named entity 'PRESENTED' named entity '100%' named entity 'TYPICAL' named entity 'HAVE' named entity 'WIND' named entity 'MOVED ' named entity 'TO TEST' named entity 'PAPER' named entity 'COMPARED' named entity 'ROBOTS' named entity 'PROBLEMS' named entity 'BUT' named entity 'AIR CONDITIONER' named entity 'USED' named entity '20%' named entity 'METHOD' named entity 'ENVIRONMENTAL SAFETY' named entity 'STEPS' named entity 'HIGHER' named entity 'AIR' named entity 'UTILIZATION' named entity 'SUCCESS' named entity 'MECHANICAL VENTILATION' named entity 'ENVIRONMENT' named entity 'EFFICIENCY' named entity 'STEADY-STATE' named entity 'INDOOR' named entity 'ENVIRONMENTS' named entity 'DYNAMIC' named entity 'OPTIMIZATION METHOD' named entity 'CONSIDERABLE' named entity 'INDOOR AIR QUALITY' named entity 'MUCH' named entity 'CONTAMINANT' named entity 'EXPERIMENTS' named entity 'ROBOT' named entity 'CRITICAL' named entity 'METHODS' named entity 'COMPREHENSIVE' named entity 'SOURCES' named entity 'SYSTEM' named entity 'COMPREHENSIVE' named entity 'PARTICLE SWARM' named entity 'SUPPLY' named entity 'LOCATIONS' named entity 'DEVELOPS' named entity 'INDOOR' named entity 'RESEARCH' named entity 'AVERAGE' named entity 'SOURCE' named entity 'DYNAMIC' named entity 'ENVIRONMENTS' named entity 'LOCALIZATION' named entity 'MULTI' named entity 'CABINET' named entity 'RATES' named entity 'RATE' named entity 'PRESENTS' named entity 'PERIODIC' named entity 'ZONE' named entity 'OPTIMIZATION' named entity 'VALIDATED' named entity '40%' named entity 'SUCCESSFUL'

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