用于智能海洋的自感应全向摆式收割机†。

IF 5 3区 材料科学 Q2 CHEMISTRY, PHYSICAL
Jie Zhao, Zutao Zhang, Lei Zeng, Weizhen Liu, Jianhong Zhou, Yingjie Li, Yongli Hu, Xiaoping Wu and Yanping Yuan
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引用次数: 0

摘要

在海上建造漂浮城市是应对气候变化和海平面上升的创新解决方案。确保浮动城市安全、长期独立运行至关重要。本文设计并测试了一种自感应全向摆式采集器,它由基于球形齿轮的波能采集器(WEH-SG)和(长短期记忆)LSTM 模块组成。WEH-SG 可通过收集多方向的波浪为漂浮城市提供动力。作为一种新颖的空间啮合机制,球面齿轮(SG)可将任意方向的复杂波浪运动整合为单一方向,从而提高波浪能收集的效率。通过对原型进行六自由度振动台实验,确定了 WEH-SG 的输出性能受波频、振幅和原型内部尺寸配置等变量的影响。实验结果表明,在波频为 1 赫兹、振幅为 30 毫米时,WEH-SG 可产生 32.23 毫瓦的输出功率。WEH-SG 的发电效率是仅收集单向波的 253%。LSTM 模块收集并训练系统的发电机信号,在环境条件识别方面的监测准确率达到 99.26%。应用场景演示展示了 WEH-SG 为数字温度传感器供电的能力。结合人工智能和物联网,该系统可为浮动城市提供可持续的清洁能源,并作为传感器监测和预警环境状况。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

A self-sensing omnidirectional pendulum harvester for smart oceans†

A self-sensing omnidirectional pendulum harvester for smart oceans†

The construction of floating cities on the sea is an innovative solution for combating climate change and sea level rise. Ensuring the safe, long-term independent operation of floating cities is essential. In this paper, a self-sensing omnidirectional pendulum harvester is designed and tested, which consists of a wave energy harvester based on spherical gear (WEH-SG) and (long short-term memory) LSTM modules. The WEH-SG can provide power for floating cities by harvesting multi-directional waves. As a novel spatial meshing mechanism, the spherical gear (SG) can integrate the complex wave motion in any direction into a single direction, improving the efficiency of wave energy harvesting. Through the six degrees of freedom shaking table experiment with the prototype, it has been determined that the output performance of the WEH-SG is impacted by variables such as the wave frequency, amplitude, and internal size configuration of the prototype. The experimental findings indicate that WEH-SG can produce an output power of 32.23 mW at a wave frequency of 1 Hz and an amplitude of 30 mm. The WEH-SG's power generation efficiency is 253% of that of harvesting only unidirectional waves. The LSTM module collects and trains the system's generator signals and achieves 99.26% monitoring accuracy for environmental condition identification. Application scenario demonstrations were carried out to showcase the capability of WEH-SG to supply power to a digital temperature sensor. Combined with artificial intelligence and the Internet of Things, this system can provide sustainable, clean energy for floating cities and function as a sensor to monitor and warn about the state of the environment.

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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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