传感器节点自主供电的环境混合能量收集系统设计
发布时间:2018-04-13 11:20
本文选题:传感器 + 整流电路 ; 参考:《农业工程学报》2017年08期
【摘要】:农田复杂环境及大面积监测需求对农业物联网传感器节点的供电提出了极大挑战,而环境能量收集技术则使低功耗农业物联网传感器节点的自供电及免维护成为可能。针对传统能量收集装置中收集的环境能量单一有限、装置体积大、可靠性差的问题,该文提出了一种新型混合环境能量一体化收集系统。该系统定位于环境中普遍而丰富的射频电磁波能量和振动能量,通过射频收集天线和压电陶瓷的有效结合,同时收集2种环境能量,并经整流转换成直流电能。能量收集天线使用普通FR4印刷电路板实现,工作在手机通信频段1.9 GHz(3G频段),测试的回波损耗为-20.5 d B,对电磁波能量收集的最高输出功率可达到38 mW,测得收集到的振动能量最大输出功率可达到25 mW,满足低功耗传感器节点的功率需求。该装置不仅可以有效提高系统供电的可靠性和对环境的适应能力,还大大降低了传统混合系统的尺寸,可为农业物联网快速发展中的传感器节点可靠供电问题提供参考。
[Abstract]:The complex farmland environment and large area monitoring demand pose a great challenge to the power supply of the sensor nodes in the agricultural Internet of things, and the environmental energy collection technology makes it possible for the low-power agricultural Internet of things sensor nodes to self-power and maintenance-free.In order to solve the problem that the environmental energy collected in the traditional energy collection device is single and limited, the device is large and the reliability is poor, a new integrated energy collection system for mixed environment is proposed in this paper.The system is located at the universal and abundant RF electromagnetic wave energy and vibration energy in the environment. The effective combination of antenna and piezoelectric ceramics is collected by RF, and two kinds of ambient energy are collected at the same time, and converted into DC energy by rectifier.The energy collection antenna is implemented using a common FR4 printed circuit board,Working in the 1.9 GHz(3G band of mobile phone communication, the measured echo loss is -20.5 dB, the maximum output power of electromagnetic wave energy collection can reach 38 MW, and the maximum output power of vibration energy collected can reach 25 MW, satisfying low power.Power requirements of sensor nodes.The device can not only improve the reliability of power supply and adaptability to the environment, but also greatly reduce the size of traditional hybrid system. It can provide a reference for the reliable power supply of sensor nodes in the rapid development of the agricultural Internet of things.
【作者单位】: 江苏大学电气信息工程学院;东南大学毫米波国家重点实验室;江苏大学现代农业装备与技术省部共建教育部重点实验室;
【基金】:中国博士后科学基金(2015M570414) 江苏省自然科学基金项目(BK20161352) 东南大学毫米波国家重点实验室开放课题资助项目(K201620) 江苏省六大人才高峰资助项目(DZXX-018) 江苏大学高级人才启动基金(11JDG123) 江苏高校优势学科建设工程资助项目(PAPD)
【分类号】:S126
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本文编号:1744266
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