Fire Detection Algorithm Combined with Image Processing and Flame Emission Spectroscopy
Fire poses a significant risk to the safety, health, and property of people around the world. However, traditional ‘‘point sensor’’ fire detection techniques for indoor buildings based on air particles, air temperatures, and smoke have a low sensitivity, long response time, and poor stability. Therefore, video-based fire detection has become a particularly efficient and important method for detecting the early signs of a fire. Due to image blur, low illumination, flame-like interference and other factors, there is a certain error rate of fire recognition using video flame recognition methods. According to our previous study of a multi-feature flame recognition algorithm, a novel flame recognition algorithm based on free radical emission spectroscopy during combustion is investigated in this paper. First, multiple features are extracted from the video images by employing our proposed processing scheme. Then, the features are post-processed by a temporal smoothing algorithm to eliminate the error recognition rate, which is caused by the similar characteristics of objects between flame-like and real flame areas. In the temporal smoothing experiments, the proposed method achieves the true positive rates of 0.965 and 0.937 for butane flames and forest fire, respectively. Additionally, the spectral signals of OH, CH, C2 and other free radicals in the combustion objects were acquired by the spectrometer. The vibrational temperature and rotational temperature are calculated after identification of the A2Δ → X2Π transition of the CH (410–440 nm). The flames-like are completely rejected by the proposed method in the validation experiment. In the subsequent butane combustion experiment, the vibrational temperature of the butane was 4896 K, and the rotational temperature was 2290 K. The experimental results show that real fires can be precisely recognized and that the combustion temperature can be determined from the CH emission spectroscopy. This novel method provides a new viewpoint for fire detection and recognition.
KeywordsFlame recognition Temporal smoothing CH free radicals Emission spectroscopy Combustion temperature
This work was partly supported by the National Natural Science Foundation of China (No. U1610117, 11504256, 61573323), Doctoral Scientific Research Foundation of Taiyuan University of Science and Technology (No. 20132011), the Scientific and Technological Innovation Programs of Higher Education Institutions in Shanxi(No. 2015166), National Undergraduate Training Program for Innovation and Entrepreneurship (No. 2017261 and 2018338).
- 5.Wang L, Ye M, Zhu Y (2010) A hybrid fire detection using Hidden Markov Model and luminance map. In A hybrid fire detection using Hidden Markov Model and luminance map, pp 905–915Google Scholar
- 11.Bosch I, Gomez S, Molina R, Miralles R (2009) Object discrimination by infrared image processing. In Object discrimination by infrared image processing, pp 30–40Google Scholar
- 12.Horng WB, Peng JW (2008) A fast image-based fire flame detection method using color analysis. Tamkang J Sci Eng 11:273–285.Google Scholar
- 13.Tingyu X, Xuanbing Q, Dongyuan S, Ning L, Chuanliang L, Gao W, Yu Y (2017) Fast fire flame recognition algorithm based on multi-feature logarithmic regression. J Comput Appl 37:1989–1993.Google Scholar
- 14.Liu YF, Zhang LS, He WL, Huang Y, Du YJ, Lan LJ, Ding YJ, Peng ZM (2015) Spectroscopic study on the laser-induced breakdown flame plasma. Acta Physica Sinica 64: 45202Google Scholar
- 15.Yong-qing W, Yan-ru C, Qi Z, Fei-nan C, Jing-jing C (2012) Multi-spectral measurement of basic oxygen furnace flame temperature. Spectrosc Spectr Anal 32:2920–2924.Google Scholar
- 16.Zhai X, Ding Y, Peng Z, Chen L, Luo R (2012) Temperature determination of an oxyacetylene flame based on the OH radical emission spectrum. J Tsinghua Univ 52:980–983Google Scholar
- 17.Liying C, Renming P, Xinggui Q, Yan L, Shengyou L, Mignsheng Y, Qiang X, Fei G, Li W (2010) Method for online measurement of concentration of OH free radical in flame zone of Class B fire and flame device. In Method for online measurement of concentration of OH free radical in flame zone of Class B fire and flame device. ChinaGoogle Scholar
- 19.Wenxi D (1985) Analysis and treatment of building structures (1)—fire temperature determination method. Ind Build 15: 48–53.Google Scholar
- 20.Luque J (1999) Database and spectral simulation program (Version 1.5), Sri International Report MpGoogle Scholar
- 21.Peng ZM (2011) Measurements of rotational and vibrational temperatures based on flame emission spectroscopy. Acta Physica Sinica 60: 104702Google Scholar