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The Research on Method of Detection for Three-Dimensional Temperature of the Furnace Based on BP Neural Network

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2 Author(s)
Yang Yu ; Sch. of Inf. Sci. & Eng., Shenyang Ligong Univ., Shenyang, China ; Jinxing Chen

In view of the variety of the changes of burning flame in large-scale boiler, in order to master the status of the furnace flame in real time. In this paper, it introduces the BP neural network absorb the basic method of flame-picture's temperature, to study thoroughly discussed about the BP neural network model, and puts forward an improved BP neural network method, as for the method to calculate three-dimensional temperature field, which has many advantages to the traditional optimization method. Taking the BP neural network using to test the three-dimensional temperature field in the furnace is feasible by the simulation studies and the experimental results.

Published in:

Intelligent Networks and Intelligent Systems (ICINIS), 2010 3rd International Conference on

Date of Conference:

1-3 Nov. 2010