Analyzing environmental heat stress under changing work conditions: A sensor‐based monitoring solution
Hot stressful work conditions impose subsequent suppressions on workers' wellbeing resulting in heat‐related morbidities, reduced productivity, and economic burden. Heat stress evaluations require costly monitoring tools that may be uneconomical while monitoring multiple locations simultaneousl...
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| Veröffentlicht in: | Human factors and ergonomics in manufacturing & service industries 2022-09, Vol.32 (5), p.389-405 |
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| container_title | Human factors and ergonomics in manufacturing & service industries |
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| creator | Sharma, Milap Suri, Narendra Mohan Kant, Suman Alam, Md Sarfaraz |
| description | Hot stressful work conditions impose subsequent suppressions on workers' wellbeing resulting in heat‐related morbidities, reduced productivity, and economic burden. Heat stress evaluations require costly monitoring tools that may be uneconomical while monitoring multiple locations simultaneously under the targeted workplace, especially in industrially developing countries. With recent technological advancements, sensor‐based intelligence could enable environmental heat stress monitoring at a substantially lesser price than costlier monitoring tools. In the present study, a sensor‐based approach has been utilized to develop a low‐cost data acquisition system involving widely used temperature‐humidity (THu) based indices and environmental sensors for monitoring heat stress parameters under three different work environments (i.e., indoor, outdoor, foundry). Notable variations were observed among respective work environments for the evaluated heat stress parameters. Higher heat exposures were attributable to the foundry and outdoor conditions than indoor. Based on the bivariate correlation analysis, strong associations were observed among respective indices (p |
| doi_str_mv | 10.1002/hfm.20960 |
| format | Article |
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Heat stress evaluations require costly monitoring tools that may be uneconomical while monitoring multiple locations simultaneously under the targeted workplace, especially in industrially developing countries. With recent technological advancements, sensor‐based intelligence could enable environmental heat stress monitoring at a substantially lesser price than costlier monitoring tools. In the present study, a sensor‐based approach has been utilized to develop a low‐cost data acquisition system involving widely used temperature‐humidity (THu) based indices and environmental sensors for monitoring heat stress parameters under three different work environments (i.e., indoor, outdoor, foundry). Notable variations were observed among respective work environments for the evaluated heat stress parameters. Higher heat exposures were attributable to the foundry and outdoor conditions than indoor. Based on the bivariate correlation analysis, strong associations were observed among respective indices (p < .01). For wet bulb globe temperature (WBGT), strong association was observed with modified discomfort index and fighter index of thermal stress (R2 = .979) followed by oxford index (R2 = .973) and discomfort index (R2 = .958). Australian Bureau of Metrology (ABM) WBGT approximation overestimated heat exposure values under the respective environments, indicating the approximated WBGT values monitored using THu sensor units were not wholly reliable. The absence of radiant effects and air velocity is a limiting factor in the present study. However, the proposed prototype could have additional integration capabilities w.r.t several remedial control measures like risk‐based early warning systems, automation controls, and real‐time data monitoring and analysis for multiple locations simultaneously, with potential payoffs like cost‐effectiveness and energy savings.</description><identifier>ISSN: 1090-8471</identifier><identifier>EISSN: 1520-6564</identifier><identifier>DOI: 10.1002/hfm.20960</identifier><language>eng</language><publisher>Hoboken: Wiley Subscription Services, Inc</publisher><subject>Approximation ; Automation ; Bivariate analysis ; Correlation analysis ; Cost analysis ; Cost control ; Data acquisition ; data‐monitoring and acquisition system ; Developing countries ; Discomfort ; Early warning systems ; Energy conservation ; Evaluation ; Heat ; Heat stress ; heat stress indices ; Heat tolerance ; Indoor environments ; Intelligence ; LDCs ; Monitoring ; Occupational health ; Parameters ; remedial control measures ; Risk management ; Sensors ; Thermal stress ; Warning systems ; Working conditions ; work‐environment</subject><ispartof>Human factors and ergonomics in manufacturing & service industries, 2022-09, Vol.32 (5), p.389-405</ispartof><rights>2022 Wiley Periodicals LLC.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c1870-be5bc2851c32c3ff6f9be7503d49398cb08732419b557be2a539c599e656184a3</cites><orcidid>0000-0003-4891-0583</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Fhfm.20960$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fhfm.20960$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,776,780,1411,27903,27904,45553,45554</link.rule.ids></links><search><creatorcontrib>Sharma, Milap</creatorcontrib><creatorcontrib>Suri, Narendra Mohan</creatorcontrib><creatorcontrib>Kant, Suman</creatorcontrib><creatorcontrib>Alam, Md Sarfaraz</creatorcontrib><title>Analyzing environmental heat stress under changing work conditions: A sensor‐based monitoring solution</title><title>Human factors and ergonomics in manufacturing & service industries</title><description>Hot stressful work conditions impose subsequent suppressions on workers' wellbeing resulting in heat‐related morbidities, reduced productivity, and economic burden. Heat stress evaluations require costly monitoring tools that may be uneconomical while monitoring multiple locations simultaneously under the targeted workplace, especially in industrially developing countries. With recent technological advancements, sensor‐based intelligence could enable environmental heat stress monitoring at a substantially lesser price than costlier monitoring tools. In the present study, a sensor‐based approach has been utilized to develop a low‐cost data acquisition system involving widely used temperature‐humidity (THu) based indices and environmental sensors for monitoring heat stress parameters under three different work environments (i.e., indoor, outdoor, foundry). Notable variations were observed among respective work environments for the evaluated heat stress parameters. Higher heat exposures were attributable to the foundry and outdoor conditions than indoor. Based on the bivariate correlation analysis, strong associations were observed among respective indices (p < .01). For wet bulb globe temperature (WBGT), strong association was observed with modified discomfort index and fighter index of thermal stress (R2 = .979) followed by oxford index (R2 = .973) and discomfort index (R2 = .958). Australian Bureau of Metrology (ABM) WBGT approximation overestimated heat exposure values under the respective environments, indicating the approximated WBGT values monitored using THu sensor units were not wholly reliable. The absence of radiant effects and air velocity is a limiting factor in the present study. 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Suri, Narendra Mohan ; Kant, Suman ; Alam, Md Sarfaraz</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c1870-be5bc2851c32c3ff6f9be7503d49398cb08732419b557be2a539c599e656184a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Approximation</topic><topic>Automation</topic><topic>Bivariate analysis</topic><topic>Correlation analysis</topic><topic>Cost analysis</topic><topic>Cost control</topic><topic>Data acquisition</topic><topic>data‐monitoring and acquisition system</topic><topic>Developing countries</topic><topic>Discomfort</topic><topic>Early warning systems</topic><topic>Energy conservation</topic><topic>Evaluation</topic><topic>Heat</topic><topic>Heat stress</topic><topic>heat stress indices</topic><topic>Heat tolerance</topic><topic>Indoor environments</topic><topic>Intelligence</topic><topic>LDCs</topic><topic>Monitoring</topic><topic>Occupational health</topic><topic>Parameters</topic><topic>remedial control measures</topic><topic>Risk management</topic><topic>Sensors</topic><topic>Thermal stress</topic><topic>Warning systems</topic><topic>Working conditions</topic><topic>work‐environment</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Sharma, Milap</creatorcontrib><creatorcontrib>Suri, Narendra Mohan</creatorcontrib><creatorcontrib>Kant, Suman</creatorcontrib><creatorcontrib>Alam, Md Sarfaraz</creatorcontrib><collection>CrossRef</collection><collection>Health and Safety Science Abstracts (Full archive)</collection><collection>Environmental Sciences and Pollution Management</collection><jtitle>Human factors and ergonomics in manufacturing & service industries</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Sharma, Milap</au><au>Suri, Narendra Mohan</au><au>Kant, Suman</au><au>Alam, Md Sarfaraz</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Analyzing environmental heat stress under changing work conditions: A sensor‐based monitoring solution</atitle><jtitle>Human factors and ergonomics in manufacturing & service industries</jtitle><date>2022-09</date><risdate>2022</risdate><volume>32</volume><issue>5</issue><spage>389</spage><epage>405</epage><pages>389-405</pages><issn>1090-8471</issn><eissn>1520-6564</eissn><abstract>Hot stressful work conditions impose subsequent suppressions on workers' wellbeing resulting in heat‐related morbidities, reduced productivity, and economic burden. Heat stress evaluations require costly monitoring tools that may be uneconomical while monitoring multiple locations simultaneously under the targeted workplace, especially in industrially developing countries. With recent technological advancements, sensor‐based intelligence could enable environmental heat stress monitoring at a substantially lesser price than costlier monitoring tools. In the present study, a sensor‐based approach has been utilized to develop a low‐cost data acquisition system involving widely used temperature‐humidity (THu) based indices and environmental sensors for monitoring heat stress parameters under three different work environments (i.e., indoor, outdoor, foundry). Notable variations were observed among respective work environments for the evaluated heat stress parameters. Higher heat exposures were attributable to the foundry and outdoor conditions than indoor. Based on the bivariate correlation analysis, strong associations were observed among respective indices (p < .01). For wet bulb globe temperature (WBGT), strong association was observed with modified discomfort index and fighter index of thermal stress (R2 = .979) followed by oxford index (R2 = .973) and discomfort index (R2 = .958). Australian Bureau of Metrology (ABM) WBGT approximation overestimated heat exposure values under the respective environments, indicating the approximated WBGT values monitored using THu sensor units were not wholly reliable. The absence of radiant effects and air velocity is a limiting factor in the present study. However, the proposed prototype could have additional integration capabilities w.r.t several remedial control measures like risk‐based early warning systems, automation controls, and real‐time data monitoring and analysis for multiple locations simultaneously, with potential payoffs like cost‐effectiveness and energy savings.</abstract><cop>Hoboken</cop><pub>Wiley Subscription Services, Inc</pub><doi>10.1002/hfm.20960</doi><tpages>17</tpages><orcidid>https://orcid.org/0000-0003-4891-0583</orcidid></addata></record> |
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| ispartof | Human factors and ergonomics in manufacturing & service industries, 2022-09, Vol.32 (5), p.389-405 |
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| source | Wiley Online Library Journals Frontfile Complete |
| subjects | Approximation Automation Bivariate analysis Correlation analysis Cost analysis Cost control Data acquisition data‐monitoring and acquisition system Developing countries Discomfort Early warning systems Energy conservation Evaluation Heat Heat stress heat stress indices Heat tolerance Indoor environments Intelligence LDCs Monitoring Occupational health Parameters remedial control measures Risk management Sensors Thermal stress Warning systems Working conditions work‐environment |
| title | Analyzing environmental heat stress under changing work conditions: A sensor‐based monitoring solution |
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