Temperature Measurement Algorithm Research of Boiler Furnace Based on BP Network

摘要

The measurement principle of furnace temperature field based on flame radiation image is analysed, nonlinear optimization mathematical model aiming at measurement objects is established, a temperature field measurement algorithm based on BP neural network is put forward. It can draw the furnace temperature field distribution by constructing the BP neural network, inputting image sample, outputting temperature sample and choosing appropriate sample training network. In the end, the measurement accuracy can be effectively improved and there is sure to be a good application prospect.