Temperature Sensing Technology Based On Digital Image Processing

Temperature field measurement is an important subject in both practice and theory. Modern industry expects a real time and high precision temperature distribution test method, which would be positively significant in improving the quality of products, optimizing burning process, saving energy resource, protecting environment and production safety.It is a new technology to use color CCD camera to acquire flame images and calculate the temperature distribution. The expression between the temperature of the objects that have real surface and the luminance of pixel in the image produced by CCD camera is deduced in this paper. The measurement errors are analyzed in this paper.A black body furnace WHT-01 has been developed in order to validate mis new temperature field measurement method. After the temperature measurement system is scaled by the black body furnace, we use least square method and neural network to calculate the temperature respectively according to the images taken from both the black body furnace and the common coal furnace. Through comparison the calculation data with the result of thermocouple, an improved method of neural network is proposed. This method is more practical and precise. It is shown that the new temperature measurement and our algorithms are effective.At last, this paper tries to combine temperature field measurement based on digital image processing with fuzzy control to design a new burning process controller.