|
|
|
|
|
|
| Design of Transient Temperature Field Detection System for Fire
Explosion |
| XIAO Ju1, HAO Zhi-yong1, ZHOU Man-lan1, HU Wei-zhao2 |
1. School of Safety and Emergency Management，Shanxi Vocational University of Engineering and Technology, Jinzhong 030619, China
2. State Key Laboratory of Fire Science, University of Science and Technology of China, Hefei 230026, China
|
|
|
|
|
Abstract The transient distribution of the temperature field is a crucial indicator for assessing the extent of explosion damage. Explosions, detonations, and other phenomena that occur during a fire can pose significant risks to emergency rescue operations. It is necessary to study the changes in the transient temperature field during the explosion process and the extent of damage. It can improve the safety of fire extinguishing. The distribution range and temperature values of the transient temperature field during the explosion process were quantitatively analyzed. A radiation temperature measurement system based on spectral normalization was designed. The existing literature primarily employs radiation thermometry to measure the temperatures of flames from explosions. Most literature uses a single wavelength to calculate the brightness temperature field within the explosion zone. But this method cannot calculate the true temperature value. A structure for image acquisition based on a multi-wavelength combination narrowband filter partition has been designed. A spectral normalization radiometric temperature measurement algorithm was proposed. The system consists of an imaging lens group, a multi-wavelength combination narrowband filter, and a multispectral camera. The imaging lens group is used to collect explosive radiation from the test area and achieve collimation and focusing. A multi-wavelength combination narrowband filter is a combination of four narrowband filters with different characteristic wavelengths. It enables simultaneous acquisition of images on the photosensitive surface of the CCD array. This design sacrifices 1/4 of the spatial resolution in exchange for simultaneously obtaining test images of four characteristic wavelengths. Finally, the multispectral camera simultaneously captures multispectral images under four characteristic wavelength conditions. The processing module is used to complete temperature inversion based on radiance. Finally, obtain the temperature field and transient changes within the explosion area. The experiment utilized the S16 thermocouple sensor to calibrate the instantaneous temperature at the actual location of the explosion area, and the M20 infrared thermal imager's test results were used to calibrate the transient temperature range in the explosion area. The temperature test results of the thermocouple sensor show that the highest temperatures at distances of 1.0 and 5.0 m are 1 625 ℃ and 810 ℃, respectively. The inversion results of this system are 1 602 ℃ and 783 ℃, respectively, with an average relative error of 3.1%. The range test results of the thermal imager show that the maximum range is 6.9 m×6.0 m. This system is 7.2 m×6.3 m, with an average relative error of less than 5%. It verifies the feasibility of using four characteristic wavelength partition images to invert the instantaneous temperature field of the explosion area in this system. The experimental results demonstrate that the transient temperature inversion accuracy of this system is high, enabling it to reconstruct the three-dimensional temperature field. This design can dynamically identify the explosion range. It has greater potential and practical value in fields such as fire and explosion.
|
|
Received: 2024-11-08
Accepted: 2025-01-20
|
|
|
|
[1] WANG Zhen-tao, DAI Jing-min, YANG Sen(王振涛, 戴景民, 杨 森). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2023, 43(12): 3885.
[2] YUAN Liang, YUAN Lin-guang, DONG Zai-tian, et al(袁 良, 袁林光, 董再天, 等). Journal of Applied Optics(应用光学), 2023, 44(3): 580.
[3] ZHANG Jie, WANG Gao, LI Zhi-ling, et al(张 杰, 王 高, 李志玲, 等). Transducer and Microsystem Technologies(传感器与微系统), 2022, 41(8): 37.
[4] Li Z, Yin J, Zhang J. Sensors, 2022, 22(14): 5294.
[5] Bityukov V K, Simachkov D S. Measurement Techniques, 2018, 60(10): 1038.
[6] CHENG Li-peng, ZHANG Meng, WANG Gao, et al(程丽鹏, 张 猛, 王 高, 等). Initiators & Pyrotechnics(火工品), 2016, 2(4): 49.
[7] XU Ren-han, ZHOU Yi-jie, DI Chang-an(许仁翰, 周钇捷, 狄长安). Acta Armamentarii(兵工学报), 2021, 42(3): 640.
[8] David L Frost, John-Mark Clemenson, Samuel Goroshin, et al. Propellants, Explosives, Pyrotechnics, 2021, 46(6): 899.
[9] Pradere C, Ryu M, Sommier A, et al. Journal of Applied Physics, 2017, 121(8): 085102.
[10] LIU Si-yao, WANG Jin-song, SUN Yan-jun, et al(刘斯尧, 王劲松, 孙艳军, 等). Journal of Changchun University of Science and Technology (Natural Science Edition)[长春理工大学学报(自然科学版)], 2019, 42(2): 61.
[11] TAN Yong, XIE Lin-bo, FENG Hong-wei, et al(谭 勇, 谢林柏, 冯宏伟, 等). Laser & Infrared(激光与红外), 2019, 49(6): 720.
[12] HAN Zhan-suo, CAO Feng, WANG Jian-gang, et al(韩占锁, 曹 锋, 汪建刚, 等). Journal of Applied Optics(应用光学), 2020, 41(6): 1230.
[13] CUI Zhong-yao, ZHAO Feng-jun, ZHAO Shuang, et al(崔中耀, 赵凤君, 赵 爽, 等). Journal of Natural Disasters(自然灾害学报), 2024, 33(1): 99.
[14] ZHU Zi-min, XING Jian(朱自民, 邢 键). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2023, 43(9): 2674.
|
|
|
|
