Skip to main content

2022 | OriginalPaper | Buchkapitel

8. Online Monitoring of Indoor Air Quality and Thermal Comfort Using a Distributed Sensor-Based Fuzzy Decision Tree Model

verfasst von : Deniz Balta, Nesibe Yalçın, Musa Balta, Ahmet Özmen

Erschienen in: Integrating IoT and AI for Indoor Air Quality Assessment

Verlag: Springer International Publishing

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

Monitoring and control of Indoor Air Quality (IAQ) have become more important, both because people spend more time indoors, especially in crowded public buildings, and because bad air has serious effects on health. Therefore, in this study, a new IAQ monitoring system is proposed that evaluates indoor comfort parameters online to provide an acceptable indoor environment for users. The online web-based, distributed, and fog computing-based monitoring system has been developed in a flexible and scalable fashion, and a distributed architecture has been used, unlike other studies. In the data processing part, a new fuzzy decision tree model is used to analyze independent measurements and environment parameters (CO2 level, thermal comfort value, number of people, and light intensity) and to obtain IAQ information. In the study, a faculty building of Sakarya University is selected as the testbed to manage case studies and to verify the model. The IAQ monitoring system has been compared with conventional systems in terms of transmission infrastructure. A fuzzy decision model has been proposed as a data processing technique as a result of comparison with fuzzy logic and Artificial Neural Networks (ANNs) under the same scenarios. The obtained results show that the proposed fuzzy decision model has 9–12% better performance than fuzzy logic and 5–7% better than ANN in the same scenarios. In addition, at the end of each case study, a survey with questions about air quality and thermal comfort has been applied to the students in the classroom. The system outputs have been compared to the survey data, and it has been observed that the proposed system produced successful results for classroom air quality.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Literatur
1.
Zurück zum Zitat S.J. Emmerich, K.Y. Teichman, A.K. Persily, Literature review on field study of ventilation and indoor air quality performance verification in high-performance commercial buildings in North America. Sci. Technol. Built Environ. 23, 1159–1166 (2017)CrossRef S.J. Emmerich, K.Y. Teichman, A.K. Persily, Literature review on field study of ventilation and indoor air quality performance verification in high-performance commercial buildings in North America. Sci. Technol. Built Environ. 23, 1159–1166 (2017)CrossRef
2.
Zurück zum Zitat F. Ma, C. Zhan, X. Xu, Investigation and evaluation of winter indoor air quality of primary schools in severe cold weather areas of China. Energies 12, 1–19 (2019) F. Ma, C. Zhan, X. Xu, Investigation and evaluation of winter indoor air quality of primary schools in severe cold weather areas of China. Energies 12, 1–19 (2019)
3.
Zurück zum Zitat K.C. Parsons, Human Thermal Environments: The Effects of Hot, Moderate and Old Environments on Health, Comfort and Performance (Taylor and Francis/CRC Press, Boca Raton, 2002), p. 635 K.C. Parsons, Human Thermal Environments: The Effects of Hot, Moderate and Old Environments on Health, Comfort and Performance (Taylor and Francis/CRC Press, Boca Raton, 2002), p. 635
4.
Zurück zum Zitat A. Ozmen, M.A. Ebeoglu, B. Mumyakmaz, D. Balta, Determination of volatile organic compounds in air by a surface acoustic wave array. Instrum. Sci. Technol. 44, 54–64 (2016)CrossRef A. Ozmen, M.A. Ebeoglu, B. Mumyakmaz, D. Balta, Determination of volatile organic compounds in air by a surface acoustic wave array. Instrum. Sci. Technol. 44, 54–64 (2016)CrossRef
5.
Zurück zum Zitat N. Yalcin, D. Balta, A. Ozmen, A modeling and simulation study about CO2 amount with web-based indoor air. Turk. J. Electr. Eng. Comput. Sci. 26, 1390–1402 (2018) N. Yalcin, D. Balta, A. Ozmen, A modeling and simulation study about CO2 amount with web-based indoor air. Turk. J. Electr. Eng. Comput. Sci. 26, 1390–1402 (2018)
6.
Zurück zum Zitat M.N. Assimakopoulos, A. Dounis, A. Spanou, M. Santamouris, Indoor air quality in a metropolitan area metro using fuzzy logic assessment system. Sci. Total Environ. 449, 461–469 (2013)CrossRef M.N. Assimakopoulos, A. Dounis, A. Spanou, M. Santamouris, Indoor air quality in a metropolitan area metro using fuzzy logic assessment system. Sci. Total Environ. 449, 461–469 (2013)CrossRef
7.
Zurück zum Zitat J. Kim, C. Chu, S. Shin, ISSAQ: An integrated sensing systems for real-time indoor air quality monitoring. IEEE Sensors J. 14, 4230–4244 (2014)CrossRef J. Kim, C. Chu, S. Shin, ISSAQ: An integrated sensing systems for real-time indoor air quality monitoring. IEEE Sensors J. 14, 4230–4244 (2014)CrossRef
8.
Zurück zum Zitat P. Spachos, D. Hatzinakos, Real-time indoor carbon dioxide monitoring through cognitive wireless sensor networks. IEEE Sensors J. 16, 506–514 (2016)CrossRef P. Spachos, D. Hatzinakos, Real-time indoor carbon dioxide monitoring through cognitive wireless sensor networks. IEEE Sensors J. 16, 506–514 (2016)CrossRef
9.
Zurück zum Zitat K.B. Shaban, A. Kadri, E. Rezk, Urban air pollution monitoring system with forecasting models. IEEE Sensors J. 16, 2598–2606 (2016)CrossRef K.B. Shaban, A. Kadri, E. Rezk, Urban air pollution monitoring system with forecasting models. IEEE Sensors J. 16, 2598–2606 (2016)CrossRef
10.
Zurück zum Zitat M.I.M. Rawi, A. Al-Anbuky, Wireless sensor networks and human comfort index. Pers. Ubiquitous Comput. 17, 999–1011 (2013)CrossRef M.I.M. Rawi, A. Al-Anbuky, Wireless sensor networks and human comfort index. Pers. Ubiquitous Comput. 17, 999–1011 (2013)CrossRef
11.
Zurück zum Zitat O. Ekren, Z.H. Karadeniz, I. Atmaca, T. Ugranli Cicek, S.C. Sofuoglu, M. Toksoy, Assessment and improvement of indoor environmental quality in a primary school. Sci. Technol. Built Environ. 23, 391–402 (2017)CrossRef O. Ekren, Z.H. Karadeniz, I. Atmaca, T. Ugranli Cicek, S.C. Sofuoglu, M. Toksoy, Assessment and improvement of indoor environmental quality in a primary school. Sci. Technol. Built Environ. 23, 391–402 (2017)CrossRef
12.
Zurück zum Zitat F.J.R. Martínez, M.A. Chicote, A.V. Peñalver, A.T. Gónzalez, E.V. Gómez, Indoor air quality and thermal comfort evaluation in a Spanish modern low-energy office with thermally activated building systems. Sci. Technol. Built Environ. 21, 1091–1099 (2015)CrossRef F.J.R. Martínez, M.A. Chicote, A.V. Peñalver, A.T. Gónzalez, E.V. Gómez, Indoor air quality and thermal comfort evaluation in a Spanish modern low-energy office with thermally activated building systems. Sci. Technol. Built Environ. 21, 1091–1099 (2015)CrossRef
13.
Zurück zum Zitat ANSI/ASHRAE Standard 62.1-2013, Ventilation for Acceptable Indoor Air Quality (ASHRAE, Atlanta, 2013) ANSI/ASHRAE Standard 62.1-2013, Ventilation for Acceptable Indoor Air Quality (ASHRAE, Atlanta, 2013)
14.
Zurück zum Zitat K. Chen, Y. Jiao, E.S. Lee, Fuzzy adaptive networks in thermal comfort. Appl. Math. Lett. 19, 420–426 (2006)CrossRef K. Chen, Y. Jiao, E.S. Lee, Fuzzy adaptive networks in thermal comfort. Appl. Math. Lett. 19, 420–426 (2006)CrossRef
15.
Zurück zum Zitat M.D.S. Gouda, S. Danaher, C. Underwood, Thermal comfort based fuzzy logic controller. Build. Serv. Eng. Res. Technol. 22, 237–253 (2001)CrossRef M.D.S. Gouda, S. Danaher, C. Underwood, Thermal comfort based fuzzy logic controller. Build. Serv. Eng. Res. Technol. 22, 237–253 (2001)CrossRef
16.
Zurück zum Zitat R.M. Reffat, E.L. Harkness, Environmental comfort criteria: weighting and integration. J. Perform. Constr. Facil. 15(3), 104–108 (2001)CrossRef R.M. Reffat, E.L. Harkness, Environmental comfort criteria: weighting and integration. J. Perform. Constr. Facil. 15(3), 104–108 (2001)CrossRef
17.
Zurück zum Zitat P.O. Fanger, Thermal Comfort, Analysis and Applications in Environmental Engineering (McGraw-Hill, New York, 1972), p. 266 P.O. Fanger, Thermal Comfort, Analysis and Applications in Environmental Engineering (McGraw-Hill, New York, 1972), p. 266
18.
Zurück zum Zitat ISO 7730-1194, Moderate Thermal Environments- Determination of the PMV and PPD Indices and Specification of the Conditions for the Thermal Comfort (ISO, Geneva, 1994) ISO 7730-1194, Moderate Thermal Environments- Determination of the PMV and PPD Indices and Specification of the Conditions for the Thermal Comfort (ISO, Geneva, 1994)
19.
Zurück zum Zitat D. Int-Hout, Thermal comfort calculations/a computer model. ASHRAE Trans. 96, 840–844L (1990) D. Int-Hout, Thermal comfort calculations/a computer model. ASHRAE Trans. 96, 840–844L (1990)
20.
Zurück zum Zitat CIBSE, Code for Interior Lighting (Chartered Institution of Building Services Engineers, London, 1994) CIBSE, Code for Interior Lighting (Chartered Institution of Building Services Engineers, London, 1994)
21.
Zurück zum Zitat D.L. Mills, Internet time synchronization: The network time protocol. IEEE Trans. Commun. 39(10), 1482–1493 (1991)CrossRef D.L. Mills, Internet time synchronization: The network time protocol. IEEE Trans. Commun. 39(10), 1482–1493 (1991)CrossRef
22.
Zurück zum Zitat ANSI/ASHRAE Standard 55-2004, Thermal Environmental Conditions for Human Occupancy (ASHRAE, Atlanta, 2004) ANSI/ASHRAE Standard 55-2004, Thermal Environmental Conditions for Human Occupancy (ASHRAE, Atlanta, 2004)
23.
Zurück zum Zitat British Standards Institution (BSI), Light and Lighting, Lighting of Work Places, Indoor Work Places (BSI Standards Publication, London, 2011) British Standards Institution (BSI), Light and Lighting, Lighting of Work Places, Indoor Work Places (BSI Standards Publication, London, 2011)
24.
Zurück zum Zitat Y. Lertworaprachaya, Y. Yang, R. John, Interval-valued fuzzy decision trees with optimal neighborhood perimeter. Appl. Soft Comput. J. 24, 851–866 (2014)CrossRef Y. Lertworaprachaya, Y. Yang, R. John, Interval-valued fuzzy decision trees with optimal neighborhood perimeter. Appl. Soft Comput. J. 24, 851–866 (2014)CrossRef
25.
Zurück zum Zitat X. Vu, V. Kumar, The Top Ten Algorithms in Data Mining (Chapman and Hall/CRC Press, Boca Raton, 2009), p. 232 X. Vu, V. Kumar, The Top Ten Algorithms in Data Mining (Chapman and Hall/CRC Press, Boca Raton, 2009), p. 232
26.
Zurück zum Zitat T. Mandal, A.K. Gorai, G. Pathak, Development of fuzzy air quality index using soft computing approach. Environ. Monit. Assess. 184, 6187–6196 (2012)CrossRef T. Mandal, A.K. Gorai, G. Pathak, Development of fuzzy air quality index using soft computing approach. Environ. Monit. Assess. 184, 6187–6196 (2012)CrossRef
27.
Zurück zum Zitat M. Tennakoon, R.V. Mayorga, E. Shirif, A fuzzy inference system prototype for indoor air and temperature quality monitoring and hazard detection. J. Environ. Inform. 16(2), 70–79 (2010)CrossRef M. Tennakoon, R.V. Mayorga, E. Shirif, A fuzzy inference system prototype for indoor air and temperature quality monitoring and hazard detection. J. Environ. Inform. 16(2), 70–79 (2010)CrossRef
Metadaten
Titel
Online Monitoring of Indoor Air Quality and Thermal Comfort Using a Distributed Sensor-Based Fuzzy Decision Tree Model
verfasst von
Deniz Balta
Nesibe Yalçın
Musa Balta
Ahmet Özmen
Copyright-Jahr
2022
DOI
https://doi.org/10.1007/978-3-030-96486-3_8

Neuer Inhalt