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.
王浩帆,付睿,袁怡,李智聪,蒲旸,娄春,翁灿. 基于智能手机APP的火焰温度分布检测研究[J]. 计量学报, 2022, 43(12): 1587-1592.
WANG Hao-fan,FU Rui,YUAN Yi,LI Zhi-cong,PU Yang,LOU Chun,WENG Can. Research on Detection of Combustion Temperature Distribution Based on Smartphone APP. Acta Metrologica Sinica, 2022, 43(12): 1587-1592.
［1］邹春, 王兆文, 娄春. 基础燃烧学 ［M］. 武汉: 华中科技大学出版社, 2020.
［2］娄春. 工程燃烧诊断学 ［M］. 北京: 中国电力出版社, 2016.
［3］周怀春. 炉内火焰可视化检测原理与技术 ［M］. 北京: 科学出版社, 2005.
［4］娄春, 张鲁栋, 蒲旸, 等. 基于自发辐射分析的被动式燃烧诊断技术研究进展 ［J］. 实验流体力学, 2021, 35(1): 1-17.
Lou C, Zhang L, Pu Y, et al. Research advances in passive techniques for combustion diagnostics based on analysis of spontaneous emission radiation ［J］. Journal of Experiments in Fluid Mechanics, 2021, 35(1): 1-17.
［5］易正明, 鄢明迟, 云广, 等. 基于图像处理的回转窑火焰温度测量技术研究 ［J］. 计量学报, 2008, 29(1): 42-45.
Yi Z, Yan M, Yun G, et al. Measurement technique of flame temperature in Rotary Kiln based on image processing ［J］. Acta Metrologica Sinica, 2008, 29(1): 42-45.
［6］薛飞, 李晓东, 倪明江, 等. 基于面阵CCD的火焰温度场测量方法研究 ［J］. 中国电机工程学报, 1999, 19(1): 39-41, 66.
Xue F, Li X, Ni M J, et al. Research on temperature field measuring for combustion flame based on plane surface array CCD ［J］. Proceedings of the CSEE, 19991 19(1): 39-41, 66.
［7］刘建浩, 娄春, 陈晓冰, 等. 基于图像法的玻璃熔窑温度检测实验研究 ［J］. 玻璃, 2016, 43(6): 3-7.
Liu J H, Lou C, Chen X B, et al. Experiment research on glass furnace temperature detection based on image method ［J］. Glass, 2016, 43(6): 3-7.
［8］Fan J, Liu S, Lu G, et al. Experimental study on measurement of flame temperature distribution using the two-color method ［J］. Journal of Thermal Science, 2002, 11(4): 378-382.
［9］姜凡, 刘石, 卢钢, 等. 双色法火焰监测分析技术用于火焰温度场的实测试验 ［J］. 中国电机工程学报, 2002, 22(12): 133-137.
Jiang F, Liu S, Lu G, et al. An Experimental Study on Measuring the Flame Temperature Distribution by Using a Two-color Flame Monitoring Technology ［J］. Proceedings of the CSEE, 2002, 22(12): 133-137.
［10］Huang Y, Yan Y, Riley G. Vision-based measurement of temperature distribution in a 500-kW model furnace using the two-colour method ［J］. Measurement, 2000, 28(3): 175-183.
［11］王丽雯, 何旭, 王建昕, 等. 用双色法研究汽油机燃烧火焰的温度分布 ［J］. 燃烧科学与技术, 2007, 13(4): 293-298.
Wang L W, He X, Wang J X, et al. Temperature distribution of combustion flame in the gasoline engine by means of two-color method ［J］. Journal of Combustion Science and Technology, 2007, 13(4): 293-298.
［12］Patrick S, Jean D, Gregory H, et al. Blood pressure measurements with the OptiBP smartphone app validated against reference auscultatory measurements ［J］. Scientific Reports, 2020, 10(1): 17827.
［13］Sang M P, Onufrak M V, Haque M M, et al. mHealth spectroscopy of blood hemoglobin with spectral super-resolution ［J］. Optica, 2020, 7(6): 563-573.
［14］倪彤元, 周若虚, 杨杨, 等. 基于智能手机APP的图像法检测混凝土表面裂缝研究 ［J］. 计量学报, 2021, 42(2): 163-170.
Ni T Y, Zhou R X, Yang Y, et al. Research on detection of concrete surface cracks by image processing based on smartphone APP ［J］. Acta Metrologica Sinica, 2021, 42(2): 163-170.
［15］Ni T Y, Zhou R X, Gu C, et al. Measurement of concrete crack feature with Android smartphone APP based on digital image processing techniques ［J］. Measurement, 2020, 150: 107093.
［16］李智聪, 何小煌, 娄春. 乙烯层流反扩散火焰形状的理论计算及实验测量 ［J］. 燃烧科学与技术, 2020, 26(3): 199-204.
Li Z, He X, Lou C. Theoretical calculation and experimental measurement of the shape of ethylene laminar inverse diffusion flame ［J］. Journal of Combustion Science and Technology, 2020, 26(3): 199-204.
［17］华中科技大学. 火花物语燃烧温度分布检测软件 ［Z］. 中国: 2020SR1662519, 2020.
2022, Vol. 43 
