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作 者:胡胜 胡歆敏 李莎莎 吕朴初 秦海鑫 赵灿 武明虎[1] 刘聪 Hu Sheng;Hu Xinmin;Li Shasha;LüPuchu;Qin Haixin;Zhao Can;Wu Minghu;Liu Cong(School of Electrical and Electronic Engineering,Hubei University of Technology,Wuhan 430068,Hubei,China;School of Optical and Electronic Information,Huazhong University of Science and Technology,Wuhan 430074,Hubei,China)
机构地区:[1]湖北工业大学电气与电子工程学院,湖北武汉430068 [2]华中科技大学光学与电子信息学院,湖北武汉430074
出 处:《激光与光电子学进展》2024年第9期239-248,共10页Laser & Optoelectronics Progress
摘 要:相位敏感型光时域反射(Φ-OTDR)技术是一种具有高精度振动监测优点的分布式光纤传感技术,能够检测周界安防领域中的扰动事件。针对传统识别方法中需要人工提取振动信号特征,无法保留时间的相关性导致信息丢失的问题,提出一种基于GAF-HorNet的扰动事件识别方法,该方法无需特征提取步骤,能将一维振动信号通过格拉姆角场(GAF)转为二维图像,采用HorNet训练模型并进行识别分类。为了验证该算法的性能,选择4种经典算法训练模型进行对比实验。实验结果表明,该算法对背景噪声、石头敲击、石头划、树枝划、拉拽、攀爬等6类信号的平均识别准确率为93.56%,比现有的方法在识别率、误报率上有更好的表现。Phasesensitive optical timedomain reflection(ΦOTDR)technology is a distributed fiberoptic sensing technique with the advantage of highprecision vibration monitoring.It can be used to detect disturbance events in the field of perimeter security.Traditional recognition methods require the manual extraction of vibration signal features and cannot retain a time correlation,leading to information loss.To solve this problem,a disturbance event recognition method based on GAFHorNet,which does not require a feature extraction step,is developed.A onedimensional vibration signal is converted into a twodimensional image through a Gramian angular field(GAF),and HorNet is used to train the model and perform recognition and classification.To verify the performance of the algorithm,four classical algorithms are selected to train the model for comparative experiments.The experimental results demonstrate that the average accuracy of the proposed algorithm is 93.56%for six types of signal:background noise,stone knocking,stone stroking,branch stroking,pulling,and climbing.Compared with previous methods,the method proposed has better recognition rate and false alarm rate performances.
关 键 词:光纤传感 相位敏感光时域反射计 格拉姆角场 分类识别
分 类 号:TN929[电子电信—通信与信息系统]
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