Fuzzy inference system for the assessment of indoor environmental quality in a room
| Autor: | Tomasz Grychowski, Karol Jabłoński |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Fuzzy inference
Computer science System of measurement 0211 other engineering and technologies Public Health Environmental and Occupational Health Environmental engineering 02 engineering and technology 010501 environmental sciences 01 natural sciences Industrial engineering Fuzzy logic Knowledge-based systems Indoor air quality Fuzzy inference system 021105 building & construction Environmental quality 0105 earth and related environmental sciences |
| Zdroj: | Indoor and Built Environment. 27:1415-1430 |
| ISSN: | 1423-0070 1420-326X |
| DOI: | 10.1177/1420326x17728097 |
| Popis: | The aim of the project presented in this article was to design a system which allows for assessment of indoor environmental conditions, with a special consideration regarding the comfort of occupants. The system consists of two microprocessor devices with numerous sensors, as well as a PC application which includes fuzzy inference module. Fuzzy inference algorithm allows for comfort assessment based on data gathered by sensors. It can also help to analyse the efficiency of HVAC systems. The article includes description of the system's functions and selection criteria for sensors taking into account of measurands. Also described in this paper is the construction of knowledge base, based on information from environmental standards and experts' statements. The constructed system was tested and examined, to confirm its application in practical comfort assessment and to highlight the advantages of using fuzzy logic in the process of analysing measured parameters and inference, which captures the way living beings process data. |
| Databáze: | OpenAIRE |
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