Flame image analysis for combustion quality estimation in power station boilers using classification algorithms

摘要

The estimation of combustion quality in power station boilers is the state of the art as it plays an important role in controlling the air pollution. The exit of hazardous gases like NOx and CO from the chimney causes air pollution. This can be controlled by monitoring the colour of the flame present inside the furnace. When complete combustion takes place the amount these gases at the exit are within tolerance causing reduced effect on the atmosphere. Hence if the quality of combustion was estimated from the flame using image processing and intelligent techniques, it is possible to minimize the pollution. This new strategy developed, takes less time for computation and also an economical method to estimate the quality of combustion.