Abstract
Designed and presented in this paper is Indoor Air Quality Assessment using fuzzy logic technology. Triangular membership functions for classified Air and Gaseous parametric categories are to be constructed in Matlab Fuzzy Logic Toolbox using ASHRAE, EPA and WHO standards. Air parameters include Temperature (T) and Relative Humidity (RH) while Gaseous parameters include Carbon Monoxide (CO) and Carbon Dioxide (CO2). The parameters are to be classified as Very Good (VG), Good (G), Fair (F), Poor (P) and Very Poor (VP). The Sugeno-style of inference systems is utilized in this proposed to describe the fuzziness of assessing indoor air quality. There were 131 fuzzy rules formulated. The output parameter is classified as Highly Acceptable (HA), Acceptable (A), Just Acceptable (JA), Not Acceptable (NA), and Highly Not Acceptable (HNA). The fuzzy-based system is simulated and the results were further verified using the weighted means of 90 generated data samples.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Wu, C.-H., Ma, L.-S., Chen, C.-H., Liu, Y.-W.: A Design of Fuzzy Logic Controller for Conforming to the Regulations of Indoor Air Quality and Thermal Comfort. In: Proceedings of the 4th Annual IEEE International Conference on Cyber Technology in Automation, Control and Intelligent Systems, Hong Kong, China, June 4-7 (2014)
Molina-Solana, M., Ros, M., Delgado, M.: Unifying Fuzzy Controller for Indoor Environment Quality. In: Proceedings of the 2013 International Joint Conference on IFSA World Congress and NAFIPS Annual Meeting, IFSA/NAFIPS (2013)
Occupational Safety and Health Administration U.S. Department of Labor (OSHA 3430-04), Indoor Air Quality in Commercial and Institutional Buildings (2011)
TSI Incorporated, Indoor Air Quality Handbook: A Practical Guide to Indoor Air Quality Investigations (2013)
Chen, W.-K.: Study on Fuzzy Determination of Indoor Environmental Quality in the Intelligent Building. In: Proceedings of the 2013 International Conference on Machine Learning and Cybernetics, Tianjin, July 14-17 (2013)
Cai, W., Wang, D., Wen, X., Yu, X.: Indoor Air Quality Assessment in an Art Gallery with an HVAC System. In: Proceedings of the 4th International Conference on Bioinformatics and Biomedical Engineering, iCBBE (2010)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Caldo, R.B. (2015). FLC-Based Indoor Air Quality Assessment for ASHRAE Standard Conformance. In: Gen, M., Kim, K., Huang, X., Hiroshi, Y. (eds) Industrial Engineering, Management Science and Applications 2015. Lecture Notes in Electrical Engineering, vol 349. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-47200-2_75
Download citation
DOI: https://doi.org/10.1007/978-3-662-47200-2_75
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-662-47199-9
Online ISBN: 978-3-662-47200-2
eBook Packages: Computer ScienceComputer Science (R0)