Jove
Visualize
联系我们

相关概念视频

Energy and Power Signals01:17

Energy and Power Signals

278
In an electrical system with a resistor, voltage and current signals facilitate the measurement of power and energy across the resistor. For a continuous-time signal, the total energy over a time interval is defined as the integral of the square of the signal's magnitude over that interval. Mathematically, this is expressed as:
278
Electrical Energy01:10

Electrical Energy

1.2K
Using electric appliances for a longer period of time consumes more electrical energy and results in a higher electric bill. The energy produced by the transfer of electrons from one point to another is known as electrical energy. If power is delivered at a constant rate, the electrical energy can be defined as the product of power used by the device for a period of time. The energy unit on electric bills is the kilowatt-hour, where one kilowatt-hour is equivalent to 3.6 × 106 joules.
1.2K

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Time-Resolved Information-Theoretic and Spectral Analysis of fNIRS Signals from Multi-Channel Prototypal Device.

Entropy (Basel, Switzerland)·2025
Same author

Electro-Mechanical Characterization and Modeling of a Broadband Piezoelectric Microgenerator Based on Lithium Niobate.

Sensors (Basel, Switzerland)·2024
Same author

Adaptive Algorithms for Batteryless LoRa-Based Sensors.

Sensors (Basel, Switzerland)·2023
Same author

A Self-Powered and Battery-Free Vibrational Energy to Time Converter for Wireless Vibration Monitoring.

Sensors (Basel, Switzerland)·2021
Same author

A Navigation and Augmented Reality System for Visually Impaired People.

Sensors (Basel, Switzerland)·2021
Same author

Advanced Monitoring Systems Based on Battery-Less Asset Tracking Modules Energized through RF Wireless Power Transfer.

Sensors (Basel, Switzerland)·2020
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关实验视频

Updated: Jun 21, 2025

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
05:30

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

531

面向大规模物联网与能源自主LoRaWAN传感器节点

Roberto La Rosa1, Lokman Boulebnane2, Antonino Pagano2,3

  • 1STMicroelectronics, Stradale Primosole 50, 95121 Catania, Italy.

Sensors (Basel, Switzerland)
|July 13, 2024
PubMed
概括
此摘要是机器生成的。

本研究介绍了一种能源自主无线传感器节点 (EAWSN),用于可持续的物联网 (IoT) 应用. 无维护的EAWSN利用太阳能和LoRaWAN进行远程,低功耗的通信.

关键词:
这就是为什么物联网物联网物联网.在LPWAN中使用.洛拉旺人 洛拉旺人没有电池,没有电池.能源采集 能源采集无线传感器节点是一个无线传感器节点.

更多相关视频

Integration of 5G Experimentation Infrastructures into a Multi-Site NFV Ecosystem
10:15

Integration of 5G Experimentation Infrastructures into a Multi-Site NFV Ecosystem

Published on: February 3, 2021

3.8K
BtM, a Low-cost Open-source Datalogger to Estimate the Water Content of Nonvascular Cryptogams
08:25

BtM, a Low-cost Open-source Datalogger to Estimate the Water Content of Nonvascular Cryptogams

Published on: March 25, 2019

8.0K

相关实验视频

Last Updated: Jun 21, 2025

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
05:30

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

531
Integration of 5G Experimentation Infrastructures into a Multi-Site NFV Ecosystem
10:15

Integration of 5G Experimentation Infrastructures into a Multi-Site NFV Ecosystem

Published on: February 3, 2021

3.8K
BtM, a Low-cost Open-source Datalogger to Estimate the Water Content of Nonvascular Cryptogams
08:25

BtM, a Low-cost Open-source Datalogger to Estimate the Water Content of Nonvascular Cryptogams

Published on: March 25, 2019

8.0K

科学领域:

  • 电子和电气工程 电子和电气工程
  • 计算机科学 计算机科学
  • 环境科学 环境科学

背景情况:

  • 到2030年,预计将有1万亿个连接设备,这对传统的电池运行节点构成重大电力和维护挑战.
  • 在偏远地区大规模的物联网 (IoT) 部署需要可持续,自给自足和无维护的解决方案.

研究的目的:

  • 为可持续的,长期的物联网应用开发一个能源自主无线传感器节点 (EAWSN).
  • 创建一个无维护的设备,适合远程和难以进入的环境.

主要方法:

  • 该EAWSN利用具有LoRaWAN连接的低功耗广域网 (LPWAN).
  • 电力由能够收集环境光的商业光伏电池提供.
  • 一个2mF电容器用于储能.

主要成果:

  • 该EAWSN成功地传输了30字节的数据包,长达560米.
  • 机会主义的LoRaWAN数据速率选择优化了能源消耗和网络覆盖之间的权衡.
  • 在城市环境中的验证证明了在相当长的距离上表现和可靠性非常出色.

结论:

  • 开发的EAWSN为大规模物联网部署提供了可持续和可靠的解决方案.
  • 能源自主设计解决了远程物联网应用中的电力和维护方面的挑战.
  • 系统的性能验证了其适用于长期,自给自足的运行.