共生能量感应风力发电机使人工智能智能道路†

IF 5 3区 材料科学 Q2 CHEMISTRY, PHYSICAL
Keqi Wu, Chengliang Fan, Minfeng Tang, Hongyu Chen, Yajia Pan, Dabing Luo and Zutao Zhang
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引用次数: 0

摘要

在道路上安装了各种监测装置,以捕捉交通状况,电力是这些装置运行的必要条件。为了减少对传统电源的依赖,本文提出了一种共生能量传感双风杯摩擦电磁混合发电机(DW-TEHG)。双风杯增强机制(EM)将风能转化为动能,驱动电磁发电机(EMG)高效运行。风速监测单元通过电压输出感知风速,能量管理单元负责存储能量并为传感装置供电。实验优化了双风杯的匹配参数,输出能力比单风杯设计提高了153%。此外,在5 m s−1的风速下,DW-TEHG可以实现92.48 mW的最大输出功率,能够将0.1 F的电容器充电到12 V。实现了基于人工智能(AI)的风速监测,平均识别率达到99.85%。结合数字孪生技术和5G通信,实现视觉环境监测。这些结果证明了DW-TEHG在道路应用方面的巨大潜力,可以促进智能交通的发展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Symbiotic energy-sensing wind generator enabled AI for smart roads†

Symbiotic energy-sensing wind generator enabled AI for smart roads†

Various monitoring devices have been installed on roads to capture traffic conditions, with electricity being essential for the operation of these devices. To reduce reliance on traditional power sources, this paper proposes a symbiotic energy-sensing dual wind cup triboelectric electromagnetic hybrid generator (DW-TEHG). Its dual wind cup enhancement mechanism (EM) converts wind energy into kinetic energy, which drives the electromagnetic generator (EMG) to operate efficiently. The wind speed monitoring unit perceives wind speed through voltage output, while an energy management unit is responsible for energy storage and power supply to sensing devices. Experiments have optimized the matching parameters of the dual wind cups, enhancing the output capability by 153% compared to a single wind-cup design. Additionally, at a wind speed of 5 m s−1, the DW-TEHG can achieve a maximum output power of 92.48 mW, capable of charging a 0.1 F capacitor to 12 V. Furthermore, wind speed monitoring based on artificial intelligence (AI) is implemented, with an average recognition rate of 99.85%. Combined with digital twin technology and 5G communication, it enables visual environmental monitoring. These results demonstrate the huge potential of the DW-TEHG for road applications that can contribute to the development of smart transportation.

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来源期刊
Sustainable Energy & Fuels
Sustainable Energy & Fuels Energy-Energy Engineering and Power Technology
CiteScore
10.00
自引率
3.60%
发文量
394
期刊介绍: Sustainable Energy & Fuels will publish research that contributes to the development of sustainable energy technologies with a particular emphasis on new and next-generation technologies.
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