About: Contaminant source identification within a building: Toward design of immune buildings

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About: Contaminant source identification within a building: Toward design of immune buildings 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
has title	Contaminant source identification within a building: Toward design of immune buildings
Creator	Bastani, Arash Haghighat, Fariborz Kozinski, Janusz
Source	Elsevier; Medline; PMC
abstract	The level of protection of a building against the intentional or accidental release of chemical agents is crucial. Both scenarios could endanger life and safety of the buildings occupants. Equipping buildings with appropriate chemical sensors can alert the building occupants about the contaminant release. The readings of these sensors can be employed to trace the location of release, and help to take the appropriate actions to minimize the casualties. However, only a limited number of them can be installed due to their initial and operating cost. Moreover, there is no information about the source strength, release time and possible source location. This paper reports the development of a methodology to identify the source location using sensors reading from limited locations. The methodology uses the artificial neural network (ANN) as a statistical analysis integrated with a multi-zone airborne contaminant transport model, CONTAM. To evaluate the applicability of this method, the contaminant dispersion within a building was modeled and the results were integrated to an ANN for the source identification. The prediction made by the trained ANN was then evaluated by predicting the source of the contaminant in 40 extra cases, which had not been seen by the network during the training session. The model was able to predict the source location in more than 90% of the cases when the building was monitored by three or more sensors. The results show that the method can be used to help building designers decide the optimum configuration of the sensors required for a space based on the accuracy level of the source detection.
has issue date	2011-12-09(xsd:dateTime)
bibo:doi	10.1016/j.buildenv.2011.12.002
bibo:pmid	32288021
has license	no-cc
sha1sum (hex)	77b8b1cedc9dc139d832e44ea7bf8bd7da7d34b5
schema:url	https://doi.org/10.1016/j.buildenv.2011.12.002
resource representing a document's title	Contaminant source identification within a building: Toward design of immune buildings
has PubMed Central identifier	PMC7127283
has PubMed identifier	32288021
schema:publication	Build Environ
resource representing a document's body	covid:77b8b1cedc9dc139d832e44ea7bf8bd7da7d34b5#body_text
is schema:about of	named entity 'space' named entity 'chemical agents' named entity 'monitored' named entity 'contaminant' named entity 'chemical sensors' named entity 'predict' named entity 'artificial neural network' named entity 'endanger' named entity 'trained' named entity 'CONTAMINANT' named entity 'CASES' named entity 'CHEMICAL AGENTS' named entity 'MONITORED' named entity 'SPACE' named entity 'REQUIRED' named entity 'IMMUNE' named entity 'SENSORS' named entity 'USES' named entity 'HELP' named entity 'PAPER' named entity 'STATISTICAL ANALYSIS' named entity 'RESULTS' named entity 'DUE TO' named entity 'LIMITED' named entity 'INTEGRATED' named entity 'CASUALTIES' named entity 'THEIR' named entity 'APPROPRIATE' named entity 'ALERT' named entity 'MULTI' covid:arg/77b8b1cedc9dc139d832e44ea7bf8bd7da7d34b5 named entity 'DETECTION' named entity 'COST' named entity 'STRENGTH' named entity 'THESE' named entity 'ACTIONS' named entity 'TRAINED' named entity 'METHODOLOGY' named entity 'DISPERSION' named entity 'PREDICTING' named entity 'LIFE' named entity 'READING' named entity 'REPORTS' named entity 'TRANSPORT MODEL' named entity 'BUILDINGS' named entity 'NUMBER OF' named entity 'SAFETY' named entity 'RELEASE' named entity 'PREDICT' named entity 'EXTRA' named entity 'AIRBORNE' named entity 'DESIGN' named entity 'BUILDINGS' named entity 'IDENTIFICATION' named entity 'LOCATION' named entity 'TO HELP' named entity 'USING' named entity 'CONTAMINANT' named entity 'METHOD' named entity 'BUILDING' named entity 'SOURCE' named entity 'SOURCE' named entity 'BASED' named entity 'MORE THAN' named entity 'TO TAKE' named entity 'PREDICTION' named entity 'ACCIDENTAL RELEASE' named entity 'NETWORK' named entity 'EMPLOYED' named entity 'ACCURACY' named entity 'BUILDING' named entity 'SESSION' named entity 'DEVELOPMENT' named entity 'TRACE' named entity 'IDENTIFICATION' named entity 'POSSIBLE' named entity 'LEVEL' named entity 'EVALUATE' named entity 'TRAINING'

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