| Autor: |
MANE, MAMTA. C., KULKARNI, J. S. |
| Předmět: |
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| Zdroj: |
i-Manager's Journal on Image Processing; Jan-Mar2018, Vol. 5 Issue 1, p33-37, 5p |
| Abstrakt: |
A thermal power plant plays an important role for generating the electricity. The thermal power plants require essential elements, which are fossil fuels, such as coal, oil, etc. Coal is burned to generate heat energy in the furnace. Hence, analysis of flame is very important when fuel combustion takes place in a furnace. Combustion quality plays an important role to reduce the wastage of fuel. The combustion quality of fuel is high and has the less wastage of fuel. As fossil fuels are more expensive in cost, Flame image monitoring system plays an important role in analysing the combustion quality. Flame image monitoring system involves capturing the flame image in different instants of time to check the quality of combustion with the help of Back Propagation Algorithm (BPA) and Ant Colony Optimization (ACO) technique (Sujatha et al., 2017). The quality of combustion also depends on the flame temperature. The intelligent sensors are used to monitor the flame temperature and Internet of things (IoT) is used to make the flame monitoring system smarter. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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