光学学报, 2018, 38 (7): 0706001, 网络出版: 2018-09-05
基于相位敏感型光时域反射仪的除尘器破袋检漏及定位技术 下载: 937次
Bag Filter Leak Detection and Location Based on Phase-Sensitive Optical Time Domain Reflectometry
光纤光学 光纤传感 破袋识别 扰动检测 支持向量机 fiber optics fiber-optic sensing broken bag recognition intrusion detection support vector machine
摘要
针对水泥生产行业中袋式除尘器破袋检漏定位问题,提出了基于分布式光纤振动传感的检漏定位方法。分布式光纤振动传感系统灵敏度高,可以检测到布袋破损后粉尘气流对光纤产生的微振动信号,以此判断布袋是否破损,并通过时域差分法来定位破袋。搭建了一套相位敏感型光时域反射仪(φ -OTDR),通过室内模拟得出该系统最大信噪比为10 dB,实际空间分辨率为23.7 m,同时验证了该系统能响应低频粉尘气流扰动信号。在现场平台实验基础上,结合支持向量机(SVM)算法对现场测试数据进行识别分类,平均破袋识别准确率可达97.8%。结合φ -OTDR分布式系统与SVM算法可有效解决袋式除尘器破袋检漏定位问题。
Abstract
In order to solve the problem of bag filter leak detection and location in the industry of cement production industry, a method for detecting and locating the broken bag based on fiber-optic distributed vibration sensing is proposed. Weak vibration signal can be detected as soon as dust air flows into the broken bag because of the high sensitivity of the vibration sensing system, and thus whether the bag is broken can be judged. A simulation is carried out, and the weak leak signal caused by dust air can been identified in the low-frequency range. In the laboratory environment, the maximum signal-to-noise ratio of the built phase-sensitive optical time domain reflectometry (φ-OTDR) is calculated to be 10 dB and the real spatial resolution is 23.7 m. In field trial, the support vector machine (SVM) algorithm is applied to distinguishing the abnormal bag from the normal one. The average recognition accuracy rate is tested to be 97.8%. The combination of φ-OTDR and SVM is capable of detecting and locating bag filter leak effectively.
高岗, 李俊, 刘旭安, 史博, 汤玉泉, 庞涛, 郑青, 孙礼明, 董凤忠. 基于相位敏感型光时域反射仪的除尘器破袋检漏及定位技术[J]. 光学学报, 2018, 38(7): 0706001. Gang Gao, Jun Li, Xu’an Liu, Bo Shi, Yuquan Tang, Tao Pang, Qing Zheng, Liming Sun, Fengzhong Dong. Bag Filter Leak Detection and Location Based on Phase-Sensitive Optical Time Domain Reflectometry[J]. Acta Optica Sinica, 2018, 38(7): 0706001.