传感技术学报2017，Vol.30Issue(10)：1536-1541,6.DOI:10.3969/j.issn.1004-1699.2017.10.014
基于无线传感器网络的坡面异常信号检测方法研究
Research on Method of Slope Abnormal Signal Detection Based on Wireless Sensor Network
摘要
Abstract
As for landslide monitoring,this paper presents an anomaly detection method that is suitable for sensor nodes with limited hardware resources. Data acquisition and anomaly detection can be directly run in the node, which improves the real-time of detection and reduces the communication overhead of data transmission. The sensor nodes collect the acceleration data of the slope,and then obtain the upper envelope of the intrinsic mode function of the training data via empirical mode decomposition. The detection threshold is determined by the adaptive learning based on Gaussian modeling. Similarly,the upper envelope data of the monitoring data can be obtained,and the data will be compared with the detection threshold by 3αprinciple to perform the anomaly detection. It can be found that the detection accuracy is around 98% through the algorithm simulations and the actual deployment tests, which means that the proposed method is feasible for the practical application.关键词
无线传感器网络/滑坡监测/经验模态分解/自适应学习Key words
wireless sensor network/landslide monitoring/empirical mode decomposition/adaptive learning分类
信息技术与安全科学引用本文复制引用
柳治谱,王勇..基于无线传感器网络的坡面异常信号检测方法研究[J].传感技术学报,2017,30(10):1536-1541,6.基金项目
国家自然科学基金项目(41202232) （41202232）
