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Applied Physics 应用物理, 2011, 1, 1-8 doi:10.4236/app.2011.11001 Published Online April 2011 (/journal/app/) Research and Application of Locating Algorithm about Laser Remote Sensing of Natural Gas Leakage Shuai Zhang, Wenqing Liu, Yujun Zhang, Ruifeng Kan, Jun Ruan, Yongjun Li, Zhenyu Xu, Yuanyuan Tang, Yiben Cui, Jianguo Liu Anhui Institute of Optics Fine Mechanics, Chinese Academy of Sciences; Key Lab of Environment Optics Technology, CAS, Hefei Email: zhangshuai@ Received: Mar. 24th, 2011; revised: Mar. 29th, 2011; accepted: Apr. 10th, 2011. Abstract: The natural gas pipeline leakage detection is significant in terms of security, environmental protec- tion and security of state property. However, the leak detection is difficult, because of the pipeline’s covering many areas, operating conditions and complicated environment. Quantitative remote sensing of natural gas leakage and location research, with laser absorption spectroscopy, will be faster, safer, more accurate and in- telligent. This article focuses on locating algorithm for laser remote sensing of natural gas leakage in the case of non-cooperative target. Leakage locating, the direction of gas diffusion and total leakage were obtained through the simulation experiments. Relative error, dropped from 55.89% to 7.41% by a total leakage simula- tion of trace methane. The results of leak location and gas diffusion direction are consistent with the actual’s by moving least square method and image segmentation through the dynamic leakage simulations. Locating algorithm is feasible by analyzing the experimental simulation of the natural gas leakage, and it will become a new diagnostic method. Keywords: Laser Remote Sensing; Moving Least Square Method; Image Segmentation; Locating Algorithm
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