光谱学与光谱分析 |
|
|
|
|
|
The Study about Spectrum Characteristic Analysis Method in the Induction Period of Gas Explosion Flame |
LIU Kui1, LI Xiao-bin2*, ZHENG Dan1 |
1. The Second Team of Postgraduate, The Chinese People’s Armed Police Forces Academy, Langfang 065000, China 2. Department of Fire Engineering, The Chinese People’s Armed Police Forces Academy, Langfang 065000, China |
|
|
Abstract Through analyzing the spectroscopic data of gas explosion flame whose volume fraction is 10% under a small scale experimental condition based on the target emission spectrum analysis methods;presents the gas explosion flame spectrum characteristic analysis methods about frequency domain feature parameters which include spectral density, band radiation light intensity, band average deviation, the time domain characteristic parameter which include band radiation energy, time average and deviation and the characteristic parameters which include skewness, kurtosis and half width;obtain the results that in the vicinity of somewhere, the spectral density converts between positive and negative in the range of 1nm that the light intensity of gas explosion flame changes dramatically; the definite integral of gas explosion flame spectral waveband is strongest in the 550~900 nm; with the wavelength increases the detected time grow, the gas explosion flame spectral signal strength attenuation trends on the whole and after the peak interval appeared in the process of decay have weaken the strength of the enhanced; results show that the target emission spectrum analysis methods can be applied to do the semi-quantitative analysis of dynamic process of gas explosion, the analysis spectral characteristics can be taken as a standard to detecting gas explosion flame.
|
Received: 2014-06-18
Accepted: 2014-10-21
|
|
Corresponding Authors:
LI Xiao-bin
E-mail: wjxy_lxb@163.com
|
|
[1] YIN Wen-tao, FU Gui, YUAN Sha-sha, et al(殷文韬, 傅 贵, 袁沙沙,等). China Safety Science Journal(中国安全科学学报), 2013, 2(2): 141. [2] JIN Ni(金 铌). Journal of Safety Science and Technology(中国安全生产科学技术),2011,7(6): 104. [3] America Coalmines Paid Equal Emphasis on Government Management and Market Control. 2012-10-15. Web of China Coal. http://www.cwestc.com/newshtml/2012-10-15/264337.shtml. [4] Coal Mine Safety Supervision Bureau of the State(国家煤矿安全监察局). The National Coal Mine Accident Analysis Report(2011)(2011年全国煤矿事故分析报告),2012. 21. [5] LI Run-qiu,SHI Shi-liang,NIAN Qi-feng(李润求,施式亮,念其锋). China Safety Science Journal(中国安全科学学报),2011,21(9): 143. [6] ZHU Zuo-wei(朱作为). Energy and Energy Conservation(能源与节能),2012, 12:28. [7] LIU Min, CAO Zheng-xun(刘 民,曹政勋). Inner Mongolia Peterochemical(内蒙古睡油化工),2014, 4: 41. [8] Jozef Jarosinski Bernard Veyssiere. Combustion Phenomena. New York. CRC,2009. [9] LI Xiao-bin, LI Hui-rong, HE Kun, et al(李孝斌,李会荣,何 昆,等). Journal of Liaoning Technical University·Natural Science(辽宁工程技术大学学报·自然科学版),2013,32(10):1314. |
[1] |
LIANG Ye-heng1, DENG Ru-ru1, 2*, LIANG Yu-jie1, LIU Yong-ming3, WU Yi4, YUAN Yu-heng5, AI Xian-jun6. Spectral Characteristics of Sediment Reflectance Under the Background of Heavy Metal Polluted Water and Analysis of Its Contribution to
Water-Leaving Reflectance[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 111-117. |
[2] |
CUI Xiang-yu1, 3, CHENG Lu1, 2, 3*, YANG Yue-ru1, WU Yan-feng1, XIA Xin1, 3, LI Yong-gui2. Color Mechanism Analysis During Blended Spinning of Viscose Fibers Based on Spectral Characteristics[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3916-3923. |
[3] |
CUI Song1, 2, BU Xin-yu1, 2, ZHANG Fu-xiang1, 2. Spectroscopic Characterization of Dissolved Organic Matter in Fresh Snow From Harbin[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3937-3945. |
[4] |
FENG Hai-kuan1, 2, FAN Yi-guang1, TAO Hui-lin1, YANG Fu-qin3, YANG Gui-jun1, ZHAO Chun-jiang1, 2*. Monitoring of Nitrogen Content in Winter Wheat Based on UAV
Hyperspectral Imagery[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(10): 3239-3246. |
[5] |
LI Bin, HAN Zhao-yang, WANG Qiu, SUN Zhao-xiang, LIU Yan-de*. Research on Bruise Level Detection of Loquat Based on Hyperspectral
Imaging Technology[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(06): 1792-1799. |
[6] |
NIU An-qiu, WU Jing-gui*, ZHAO Xin-yu. Infrared Spectrum Analysis of Degradation Characteristics of PPC Plastic Film Under Different Covering Methods[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(02): 533-540. |
[7] |
ZHANG Jian1, LIU Ya-jian2, CAO Ji-hu3. Raman Spectral Characteristics of Pyrite in Luyuangou Gold Deposit, Western Henan Province and Its Indicative Significance for Multiphase Metallogenesis[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(12): 3770-3774. |
[8] |
ZHANG Heng-ming1, SHI Yu1*, LI Chun-kai1, 2, 3, GU Yu-fen1, ZHU Ming1. The Effect of Electrode Polarity on Arc Plasma Spectral Characteristics of Self-Shielded Flux Cored Arc Welding[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(12): 3917-3926. |
[9] |
DAI Qian-cheng1, XIE Yong1*, TAO Zui2, SHAO Wen1, PENG Fei-yu1, SU Yi1, YANG Bang-hui2. Research on Fluorescence Retrieval Algorithm of Chlorophyll a Concentration in Nanyi Lake[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(12): 3941-3947. |
[10] |
WANG Dong-sheng1, WANG Hai-long1, 2, ZHANG Fang1, 3*, HAN Lin-fang1, 3, LI Yun1. Near-Infrared Spectral Characteristics of Sandstone and Inversion of Water Content[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(11): 3368-3372. |
[11] |
HUANG Yue-hao1, 2, JIN Yong-ze2. Analysis and Research on Spectral Characteristics of the Traditional Architectural Color Painting Pigments in Regong, Qinghai Province[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(11): 3519-3525. |
[12] |
YAN Kang-ting1, 2, HAN Yi-fang1, 2, WANG Lin-lin1, 2, DING Fan3, LAN Yu-bin1, 2*, ZHANG Ya-li2, 3*. Research on the Fluorescence Spectra Characteristics of Abamectin Technical and Preparation Solution[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(11): 3476-3481. |
[13] |
CAO Yu-qi2, KANG Xu-sheng1, 2*, CHEN Piao-yun2, XIE Chen2, YU Jie2*, HUANG Ping-jie2, HOU Di-bo2, ZHANG Guang-xin2. Research on Discrimination Method of Absorption Peak in Terahertz
Regime[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(10): 3058-3062. |
[14] |
HU Xin-yu1, 2, XU Zhang-hua1, 2, 3, 5, 6*, HUANG Xu-ying1, 2, 8, ZHANG Yi-wei1, 2, CHEN Qiu-xia7, WANG Lin1, 2, LIU Hui4, LIU Zhi-cai1, 2. Relationship Between Chlorophyll and Leaf Spectral Characteristics and Their Changes Under the Stress of Phyllostachys Praecox[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(09): 2726-2739. |
[15] |
WANG Ge1, YU Qiang1*, Yang Di2, NIU Teng1, LONG Qian-qian1. Retrieval of Dust Retention Distribution in Beijing Urban Green Space Based on Spectral Characteristics[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(08): 2572-2578. |
|
|
|
|