Research on Detection of Combustion Temperature Distribution Based on Smartphone APP
WANG Hao-fan1,FU Rui1,YUAN Yi1,LI Zhi-cong1,PU Yang1,LOU Chun1,WENG Can2
1. State Key Laboratory of Coal Combustion, School of Energy and Power Engineering, HuaZhong University of Science and Technology, Wuhan, Hubei 430074, China
2. Chengdu Sanfeng Environment Power Generaton Co. Ltd., Chengdu, Sichuan 610200, China
Abstract To measure flame temperature distribution, a method based on the Android system using heat radiation theory and visible light image processing was proposed. The camera of the smartphone was used to collect the visible light image of the flame. After extracting the RGB of each pixel of the visible light image and calibrating the smartphone camera to determine the quantitative relationship between radiation intensity and RGB, flame temperature of each pixel was measured using Wien’s law. The developed APP flame temperature measurement technology was allowed to input the combustion image by taking a photo or selecting a photo from gallery. Main parameters, such as exposure time, white balance and ISO etc, of the photo was extracted. A two-dimensional flame temperature distribution was generated after calculation. An experiment was set to measure the temperature distribution of the inverse diffusion flame. The result showed that the relative deviation of the maximum temperature measured by the smartphone was 4% compared with the multi-wavelength measurement method.
WANG Hao-fan,FU Rui,YUAN Yi, et al. Research on Detection of Combustion Temperature Distribution Based on Smartphone APP[J]. Acta Metrologica Sinica, 2022, 43(12): 1587-1592.
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2022, Vol. 43 
