| 一种改进型神经网络的光纤预警系统适应性研究 |
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| 引用本文： | 王放,邢冀川. 一种改进型神经网络的光纤预警系统适应性研究[J]. 北京理工大学学报, 2021, 41(6): 649-657. DOI: 10.15918/j.tbit1001-0645.2020.070 |
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| 作者姓名： | 王放 邢冀川 |
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| 作者单位： | 北京理工大学光电学院,北京 100081 |
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| 基金项目： | 上海市经济和信息化委员会资助项目（2018-RGZN-02015） |
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| 摘 要： | 针对传统长距离光纤预警系统识别入侵事件误报率高的问题,提出了一种基于改进型神经网络的光纤预警系统并研究了该系统在不同环境下的泛化适应性.系统的分布式传感部分应用Phi-OTDR技术,信号识别部分采用一种改进型的神经网络对入侵事件进行识别分类.最后通过3种情况下的实验,探究了系统的适应性.结果表明,该系统在光纤振动信号识别中有优秀的分类效果,并且在不同的环境条件下也具备良好的适应性.
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| 关 键 词： | 分布式光纤传感系统 信号识别 神经网络 光纤预警 |
| 收稿时间： | 2020-04-23 |
An Improved Neural Network Based Research on Generalization of an Optical Fiber Pre-Warning System |
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| WANG Fang,XING Jichuan. An Improved Neural Network Based Research on Generalization of an Optical Fiber Pre-Warning System[J]. Journal of Beijing Institute of Technology(Natural Science Edition), 2021, 41(6): 649-657. DOI: 10.15918/j.tbit1001-0645.2020.070 |
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| Authors: | WANG Fang XING Jichuan |
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| Affiliation: | School of Optoelectronics, Beijing Institute of Technology, Beijing 100081, China |
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| Abstract: | There is a high false alarm rate in identifying event process of traditional long-distance optical fiber pre-warning system. To solve the problem, an optical fiber pre-warning system was proposed based on an improved neural network and its adaptability to different environments was studied. Firstly, Phi-OTDR technology was applied to design the distributed sensing part of the system. And then, an improved neural network was used for the signal recognition part to identify and classify intrusion events. Finally, experiments were carried out in three cases to analyze the adaptability of the system. The results show that the system can provide an excellent classification effect in the recognition of optical fiber vibration signals, and it also has better adaptability under different environmental conditions. |
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| Keywords: | distributed optical fiber sensing system signal recognition neural network optical fiber warning |
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