| Autor: |
Andrii Kushnir, Bohdan Kopchak |
| Rok vydání: |
2021 |
| Předmět: |
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| Zdroj: |
2021 IEEE XVIIth International Conference on the Perspective Technologies and Methods in MEMS Design (MEMSTECH). |
| Popis: |
The main advantages of flame detector are high sensitivity and low inertia. The main limitation of the use of flame detector is the presence of artificial and natural electromagnetic interference it can respond to. The intelligent multiband flame detector with infrared and ultraviolet sensors is proposed using a fuzzy correction (FC) block synthesized on the basis of the fuzzy logic theory. The input values of the FC block are the values of the wavelength signals of infrared and ultraviolet radiation and the flame flicker frequency. The FC block processes these signals in accordance with the developed algorithm. A model of this multiband flame detector has been developed in the MATLAB software environment. The results of simulation studies have shown that the FC block distinguishes different stages of changes in the wavelength of infrared and ultraviolet radiation and the flicker frequency. The block forms the required output signal based on the compiled rule base. This makes it possible to detect a fire with high accuracy without false alarms. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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