Volume 44 Issue 11
Dec.  2015
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Zhou Leigang, Liang Ting, Gao Licong. Analysis of influencing factors for precision of all-weather optical axis parallelism detection[J]. Infrared and Laser Engineering, 2015, 44(11): 3413-3417.
Citation: Zhou Leigang, Liang Ting, Gao Licong. Analysis of influencing factors for precision of all-weather optical axis parallelism detection[J]. Infrared and Laser Engineering, 2015, 44(11): 3413-3417.

Analysis of influencing factors for precision of all-weather optical axis parallelism detection

  • Received Date: 2015-03-05
  • Rev Recd Date: 2015-04-10
  • Publish Date: 2015-11-25
  • To improve the precision of the infrared sensor, the chamber structure, circuit and data processing was optimized. The chamber structure of the infrared gas sensor was redesigned and optimized by the experiments and optical simulation. Three differential amplifier circuits were chosen to eliminate the system's noise, and the secondary difference look-up table was used to process the data, and a new infrared methane sensor was designed by those measures. The experiments were performed to obtain the new sensor's performance in the volume fraction 0%-3% of the methane. Results showed that the response time has been reduced to 20 s, the detection sensitivity was also improved, and the detection error was controlled within 0.04%. After comparing the similar products at home and abroad, it is clear that this new designed sensor exhibits enhanced performances including higher detection sensitivity, lower detection error and shorter response time.
  • [1] Zhang Yonggang, Gu Yi, Li Yaoyao. Mid-infrared semiconductor light sources,detectors and its applications[J].Infrared and Laser Engineering, 2011, 40(10): 1846-1850. (in Chinese) 张永刚, 顾溢, 李耀耀. 中红外半导体光源和探测器件及其应用[J]. 红外与激光工程, 2011, 40(10): 1846-1850.
    [2] Liu Jun, Tan Qiulin, Zhang Weidong, et al. Miniature low-power IR monitor for methane detection[J]. Measurement,2011, 44(5): 823-831.
    [3] Ye WeiLin, Zheng CuanTao, Yu Xin, et al. Design and performances of a mid-infrared CH4 detection device with novel three channel based LS-FTF self-adaptive denoising structure[J]. Sensors and Actuators B: Chemical, 2011, 155(1): 37-45.
    [4] Tan Qiulin, Zhang Wendong, Xue Chenyang, et al. Design of mini-multi-gas monitoring system based on IR absorption[J]. Optics Laser Technology, 2008, 40(5): 703-710.
    [5] Zhu Zeping, Xu Yuhui, Jiang Binqing. A one ppm NDIR methane gas sensor with single frequency filter denoising algorithm[J]. Sensors, 2012, 12(9): 12729-12740.
    [6] Tian Hui, Fowler Boyd, Gamal Abbas El. Analysis of temporal noise in CMOS photodiode active pixel sensor[J]. Solid-State Circuits, IEEE Journal of, 2001, 36(1): 92-101.
    [7] Tan Qiulin, Yang Mingliang, Xiong Jijun, et al. Parameters correction function method for concentration calculation and compensation in IR optical gas measurement[J]. Infrared and Laser Engineering, 2014, 43(5): 1396-1400. (in Chinese) 谭秋林, 杨明亮, 熊继军, 等. 红外光学气体检测中的参数修正函数浓度计算与补偿方法[J]. 红外与激光工程, 2014, 43(5): 1396-1400.
    [8] Xiao Guixian. The application of quadratic interpolation in sensor data processing[J]. Journal of Huangshi Institute of Technology, 2007, 24(4): 54-56. (in Chinese) 肖贵贤. 二次插值法在传感器数据处理中的应用[J].黄石理工学院学报, 2007, 24(4): 54-56.
    [9] Sun Youwen, Zeng Yi, Liu Wenqing, et al. Cross-interference correction and simultaneous multi-gas analysis based on infrared absorption[J]. Chin Phys B, 2012, 21(9): 0907011-0907018.
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Analysis of influencing factors for precision of all-weather optical axis parallelism detection

  • 1. Key Laboratory of Instrumentation Science & Dynamic Measurement,Ministry of Education,North University of China,Taiyuan 030051,China;
  • 2. Science and Technology on Electronic Test & Measurement Laboratory,North University of China,Taiyuan 030051,China

Abstract: To improve the precision of the infrared sensor, the chamber structure, circuit and data processing was optimized. The chamber structure of the infrared gas sensor was redesigned and optimized by the experiments and optical simulation. Three differential amplifier circuits were chosen to eliminate the system's noise, and the secondary difference look-up table was used to process the data, and a new infrared methane sensor was designed by those measures. The experiments were performed to obtain the new sensor's performance in the volume fraction 0%-3% of the methane. Results showed that the response time has been reduced to 20 s, the detection sensitivity was also improved, and the detection error was controlled within 0.04%. After comparing the similar products at home and abroad, it is clear that this new designed sensor exhibits enhanced performances including higher detection sensitivity, lower detection error and shorter response time.

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