Cargando…

Applying an Integrated System of Cloud Management and Wireless Sensing Network to Green Smart Environments—Green Energy Monitoring on Campus

With increasing urbanization, the application of Internet of things (IoT) technology to city governance has become a trend in architecture, transportation, and healthcare management, making IoT applicable in various domains. This study used IoT to inspect green construction and adopted a front-end s...

Descripción completa

Detalles Bibliográficos
Autores principales: Tseng, Kuo-Hsiung, Chung, Meng-Yun, Chen, Li-Hsien, Wei, Ming-Yi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9460919/
https://www.ncbi.nlm.nih.gov/pubmed/36080980
http://dx.doi.org/10.3390/s22176521
_version_ 1784786865097801728
author Tseng, Kuo-Hsiung
Chung, Meng-Yun
Chen, Li-Hsien
Wei, Ming-Yi
author_facet Tseng, Kuo-Hsiung
Chung, Meng-Yun
Chen, Li-Hsien
Wei, Ming-Yi
author_sort Tseng, Kuo-Hsiung
collection PubMed
description With increasing urbanization, the application of Internet of things (IoT) technology to city governance has become a trend in architecture, transportation, and healthcare management, making IoT applicable in various domains. This study used IoT to inspect green construction and adopted a front-end sensing system, middle-end wireless transmission, and a back-end multifunctional system structure with cloud management. It integrated civil and electrical engineering to develop environmental monitoring technology and proposed a management information system for the implementation of green engineering. This study collected physical “measurements” of the greening environment on a campus. Ambient temperature and humidity were analyzed to explore the greening and energy-saving benefits of a green roof, a pervious road, and a photovoltaic roof. When the ambient temperature was below 25 °C, the solar panels had an insulation effect on the roof of the building during both 4:00–5:00 and 12:00–13:00, with an optimal insulation effect of 2.45 °C. When the ambient temperature was above 25 °C, the panels had a cooling effect on the roof of the building, whether during 4:00–5:00 or 12:00–13:00, with an optimal cooling effect of 5.77 °C. During the lower temperature period (4:00–5:00), the ecological terrace had an insulation effect on the space beneath, with an effect of approximately 1–3 °C and a mean insulation of 1.95 °C. During the higher temperature period (12:00–13:00), it presented a cooling effect on the space beneath, with an effect of approximately 0.5–9 °C and a mean cooling temperature of 5.16 °C. The cooling effect of the three greening areas on air and ground temperature decreased in the following order: pervious road > photovoltaic roof > ecological terrace.
format Online
Article
Text
id pubmed-9460919
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-94609192022-09-10 Applying an Integrated System of Cloud Management and Wireless Sensing Network to Green Smart Environments—Green Energy Monitoring on Campus Tseng, Kuo-Hsiung Chung, Meng-Yun Chen, Li-Hsien Wei, Ming-Yi Sensors (Basel) Article With increasing urbanization, the application of Internet of things (IoT) technology to city governance has become a trend in architecture, transportation, and healthcare management, making IoT applicable in various domains. This study used IoT to inspect green construction and adopted a front-end sensing system, middle-end wireless transmission, and a back-end multifunctional system structure with cloud management. It integrated civil and electrical engineering to develop environmental monitoring technology and proposed a management information system for the implementation of green engineering. This study collected physical “measurements” of the greening environment on a campus. Ambient temperature and humidity were analyzed to explore the greening and energy-saving benefits of a green roof, a pervious road, and a photovoltaic roof. When the ambient temperature was below 25 °C, the solar panels had an insulation effect on the roof of the building during both 4:00–5:00 and 12:00–13:00, with an optimal insulation effect of 2.45 °C. When the ambient temperature was above 25 °C, the panels had a cooling effect on the roof of the building, whether during 4:00–5:00 or 12:00–13:00, with an optimal cooling effect of 5.77 °C. During the lower temperature period (4:00–5:00), the ecological terrace had an insulation effect on the space beneath, with an effect of approximately 1–3 °C and a mean insulation of 1.95 °C. During the higher temperature period (12:00–13:00), it presented a cooling effect on the space beneath, with an effect of approximately 0.5–9 °C and a mean cooling temperature of 5.16 °C. The cooling effect of the three greening areas on air and ground temperature decreased in the following order: pervious road > photovoltaic roof > ecological terrace. MDPI 2022-08-29 /pmc/articles/PMC9460919/ /pubmed/36080980 http://dx.doi.org/10.3390/s22176521 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Tseng, Kuo-Hsiung
Chung, Meng-Yun
Chen, Li-Hsien
Wei, Ming-Yi
Applying an Integrated System of Cloud Management and Wireless Sensing Network to Green Smart Environments—Green Energy Monitoring on Campus
title Applying an Integrated System of Cloud Management and Wireless Sensing Network to Green Smart Environments—Green Energy Monitoring on Campus
title_full Applying an Integrated System of Cloud Management and Wireless Sensing Network to Green Smart Environments—Green Energy Monitoring on Campus
title_fullStr Applying an Integrated System of Cloud Management and Wireless Sensing Network to Green Smart Environments—Green Energy Monitoring on Campus
title_full_unstemmed Applying an Integrated System of Cloud Management and Wireless Sensing Network to Green Smart Environments—Green Energy Monitoring on Campus
title_short Applying an Integrated System of Cloud Management and Wireless Sensing Network to Green Smart Environments—Green Energy Monitoring on Campus
title_sort applying an integrated system of cloud management and wireless sensing network to green smart environments—green energy monitoring on campus
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9460919/
https://www.ncbi.nlm.nih.gov/pubmed/36080980
http://dx.doi.org/10.3390/s22176521
work_keys_str_mv AT tsengkuohsiung applyinganintegratedsystemofcloudmanagementandwirelesssensingnetworktogreensmartenvironmentsgreenenergymonitoringoncampus
AT chungmengyun applyinganintegratedsystemofcloudmanagementandwirelesssensingnetworktogreensmartenvironmentsgreenenergymonitoringoncampus
AT chenlihsien applyinganintegratedsystemofcloudmanagementandwirelesssensingnetworktogreensmartenvironmentsgreenenergymonitoringoncampus
AT weimingyi applyinganintegratedsystemofcloudmanagementandwirelesssensingnetworktogreensmartenvironmentsgreenenergymonitoringoncampus