NOx Estimation Based on Flame Image of High Temperature Air Combustion

By the analysis of NOx formation principle in the coal-fired process of power station boiler, the boiler operation parameter related with NOx emission are determinate. Then the furnace temperature field is gained by using combustion flame image processing technique and dual-color high temperature measurement method. A data matrix is defined with the boiler operation parameter and the furnace temperature field, as the input of partial least squares. It is concluded that the recognition results agree basically with that by partial least squares, which shows that the method can be regarded as a detective method of NOx emission in high temperature air combustion.