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作 者:Xianpeng Fu Zhichao Jiang Jie Cao Zefang Dong Guoxu Liu Meiling Zhu Chi Zhang
机构地区:[1]CAS Center for Excellence in Nanoscience,Beijing Key Laboratory of Micro-nano Energy and Sensor,Beijing Institute of Nanoenergy and Nanosystems,Chinese Academy of Sciences,Beijing,101400,China [2]School of Nanoscience and Engineering,University of Chinese Academy of Sciences,Beijing,100049,China [3]Center on Nanoenergy Research,Guangxi Colleges and Universities Key Laboratory of Blue Energy and Systems Integration,School of Physical Science&Technology,Guangxi University,Nanning,530004,China [4]Institute of Intelligent Flexible Mechatronics,Jiangsu University,Zhenjiang,212013,China [5]College of Engineering,Mathematics and Physical Science,University of Exeter,Exeter,EX44QF,UK
出 处:《Microsystems & Nanoengineering》2024年第2期241-249,共9页微系统与纳米工程(英文)
基 金:supported by the National Natural Science Foundation of China(Nos.U23A20640,52250112,52203308);Beijing Natural Science Foundation(3242013).
摘 要:Wind sensors have always played an irreplaceable role in environmental information monitoring and are expected to operate with lower power consumption to extend service lifetime.Here,we propose a breeze wake-up anemometer(B-WA)based on a rolling-bearing triboelectric nanogenerator(RB-TENG)with extremely low static power.The B-WA consists of two RB-TENGs,a self-waking-up module(SWM),a signal processing module(SPM),and a wireless transmission unit.The two RB-TENGs are employed for system activation and wind-speed sensing.Once the ambient wind-speed exceeds 2 m/s,the wake TENG(W-TENG)and the SWM can wake up the system within 0.96 s.At the same time,the SPM starts to calculate the signal frequency from the measured TENG(M-TENG)to monitor the wind speed with a sensitivity of 9.45 Hz/(m/s).After the wind stops,the SWM can switch off the B-WA within 0.52 s to decrease the system energy loss.In quiescent on-duty mode,the operating power of the B-WA is less than 30 nW,which can greatly extend the service lifetime of the B-WA.By integrating triboelectric devices and rolling bearings,this work has realized an ultralow quiescent power and self-waked-up wireless wind-speed monitoring system,which has foreseeable applications in remote weather monitoring,IoT nodes,and so on.
分 类 号:TM31[电气工程—电机] TB383[一般工业技术—材料科学与工程]
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