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基于RFID电子标签的螺栓松动检测技术OA

A Bolt Loosening Detection Technology Based on RFID Tags

中文摘要英文摘要

在螺栓松动检测领域,人工检测存在效率低和准确度不足等问题,依赖常规传感器的检测方法通过线缆进行供电和数据采集,安装与维护成本较高.针对上述问题,文中基于无线射频识别技术设计了一种用于螺栓松动检测的超高频电子标签.当螺栓松动时,安装于螺母和被连接件上的标签天线变形,天线变形引起天线谐振频率变化,从而使标签反向散射信号强度发生改变,通过远程读取反向散射信号强度变化实现对螺栓松动状态的无线监测.实验结果表明,当螺栓松动角度增大时,标签的反向散射信号强度呈线性下降趋势,二者之间的相关性达 0.978 74,证实了该检测方案在 0°~8°的松动角度范围内能够精准识别螺栓松动状态.

In the field of bolt loosening detection,manual inspection has problems such as low efficiency and insufficient accuracy.Detection relying on conventional sensors uses cables for power supply and data collection,re-sulting in high installation and maintenance costs.To address the above issues,this study designs an ultra-high fre-quency radio frequency identification devices tag for bolt loosening detection based on radio frequency identification technology.When the bolt loosens,the tag antenna installed on the nut and the connected component deforms,which causes a change in the resonant frequency of the antenna.This further leads to a variation in the backscattered signal strength of the tag.The wireless monitoring of the bolt loosening state is realized by remotely reading the change in the backscattered signal strength.Experimental results show that as the bolt loosening angle increases,the backscat-tered signal strength of the tag shows a linear downward trend,with a correlation coefficient as high as 0.978 74,which confirms that the proposed detection scheme can achieve accurate identification of the bolt loosening state with-in the loosening angle range of 0° to 8°.

陈正毅;贾江鸣;万昌江;侯良美;贺磊盈

浙江理工大学 机械工程学院,浙江 杭州 310018浙江理工大学 机械工程学院,浙江 杭州 310018浙江理工大学 机械工程学院,浙江 杭州 310018||浙江理工大学 龙港研究院,浙江 温州 325802浙江理工大学 机械工程学院,浙江 杭州 310018浙江理工大学 机械工程学院,浙江 杭州 310018

信息技术与安全科学

无线射频螺栓松动检测传感器微带贴片天线谐振频率反向散射信号强度超高频电子标签

radio frequency identificationbolt loosening detectionsensorsmicrostrip patch antennaresonant frequencyreceived signal strength indicationultra-high frequencyelectronic tag

《电子科技》 2026 (4)

58-65,8

浙江省"尖兵领雁+X"研发攻关计划(2024SJCZXO027)Zhejiang Province"Jianbinglingyan+X"R&D Plan(2024SJCZXO027)

10.16180/j.cnki.issn1007-7820.2026.04.008

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