Title :
Research of flame image processing and control system
Abstract :
This article describes an furnace flame closed-loop control system based on image signal processing. Through the power plant furnace flame image processing, obtained the rate of effective temperature area, the rate of high-temperature area, centroid offset distance. Taking the data as criterion, we used KOHENON neural network to distinguish the state of flame and fused the related signals of sensors such as flame detector. Then proposed the incremental opening adjustment in order to complete real-time control of the furnace flame.
Keywords :
closed loop systems; flames; furnaces; image processing; neural nets; production engineering computing; KOHENON neural network; centroid offset distance; furnace flame closed-loop control; high-temperature area; image signal processing; power plant furnace flame image processing; Control systems; Fires; Furnaces; Image processing; Neural networks; Power generation; Process control; Sensor fusion; Signal processing; Temperature sensors; Furnace flame; feature recognition; image processing; integration determination; real-time control;
Conference_Titel :
Mechanic Automation and Control Engineering (MACE), 2010 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-7737-1
DOI :
10.1109/MACE.2010.5536486
