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Distributed Loads01:19

Distributed Loads

538
Distributed loads are a common type of load that engineers and scientists encounter in various practical situations. Distributed loads often refer to a type of load spread over a surface or a structure and can be modeled as continuous force per unit area.
For example, consider a bookshelf filled with books stacked vertically adjacent to each other. The weight of the books is evenly distributed over the length of the shelf. As a result, the pressure at different locations on the surface of the...
538
Signal and System01:26

Signal and System

668
A signal x(t) is a set of data or a time function representing a variable of interest. Signals typically convey information about a phenomenon, such as atmospheric temperature, humidity, human voice, television images, a dog's bark, or birdsongs. More generally, a signal can be a function of more than one independent variable. For instance, images depend on horizontal and vertical positions and can be regarded as two-dimensional signals. However, this text will focus on one-dimensional...
668
Control Systems: Applications01:25

Control Systems: Applications

618
Electrical engineering plays a pivotal role in our daily lives, with control systems at the heart of many applications, from home appliances to sophisticated space shuttles. Control systems manage and regulate the behavior of devices and processes, ensuring they function safely, correctly, and efficiently.
In modern vehicles, control systems manage various functions to enhance performance and safety. The steering wheel and accelerator are primary inputs in a car's control system. The...
618
Neuronal Communication01:28

Neuronal Communication

955
Neurons, the fundamental units of the brain and nervous system, communicate through complex electrochemical signals that underpin all cognitive and bodily functions. This communication is primarily facilitated by a process involving the generation and propagation of an action potential along the axon of the neuron. When the internal electrical charge of a neuron surpasses a certain threshold, an action potential is triggered. This rapid change in voltage travels swiftly along the axon to the...
955
Cyclic Processes And Isolated Systems01:19

Cyclic Processes And Isolated Systems

2.8K
A thermodynamic system with zero heat exchange and work is an isolated system. For these systems, the internal energy remains constant.
In the case of a non-isolated system, the change in the internal energy is zero only if the process is cyclic. A thermodynamic process is considered cyclic if the system undergoes a series of changes and returns to its initial state. 
Consider a cyclic process that returns to its initial state, undergoing a four-step process. The heat transfer along each...
2.8K
Control Systems01:10

Control Systems

1.2K
Control systems are everywhere in contemporary society, influencing diverse applications from aerospace to automated manufacturing. These systems can be found naturally within biological processes, such as blood sugar regulation and heart rate adjustment in response to stress, as well as in man-made systems like elevators and automated vehicles. A control system is essentially a network of subsystems and processes that collaboratively convert specific inputs into desired outputs.
At the heart...
1.2K

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相关实验视频

Updated: Jul 7, 2025

Data Communication Based on MQTT in a Polymer Extrusion Process
08:15

Data Communication Based on MQTT in a Polymer Extrusion Process

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一个基于发布-订阅范式的动态IIoT框架.

Ioan Ungurean1, Nicoleta Cristina Gaitan1

  • 1Faculty of Electrical Engineering and Computer Science, Stefan cel Mare University of Suceava, 720229 Suceava, Romania.

Sensors (Basel, Switzerland)
|December 23, 2023
PubMed
概括

本研究介绍了一个可定制的工业物联网 (IIoT) 框架. 它通过在网络边缘实现分布式,低延迟的决策来应对IIoT的挑战.

科学领域:

  • 工业自动化 工业自动化
  • 物联网 (IoT) 的物联网 (IoT) 的物联网.
  • 分布式系统 分布式系统

背景情况:

  • 工业物联网 (IIoT) 整合了用于自动化的设备,但面临着设备多样性,连接性和安全性等挑战.
  • 由于工业环境的复杂性和异质性,现有的IIoT解决方案往往缺乏灵活性.
  • 需要具有适应性的框架,能够管理各种工业组件并确保高效的数据处理.

研究的目的:

  • 提出一个分布式和可定制的IIoT框架.
  • 为了促进各种工业设备和系统之间的无互动.
  • 为了在网络边缘实现高效的数据处理和决策.

主要方法:

  • 在IIoT架构中的雾节点上部署的分布式框架.
  • 对于本地 (低延迟) 和全球 (互联网延迟) 设备交互的集成功能.
  • 将CANOpen网络集成的雾节点纳入IIoT架构.

主要成果:

  • 拟议的框架表明可针对各种工业需求进行定制.
  • 决策操作可以在网络边缘执行,显著减少延迟.
  • 成功将CANOpen网络集成到更广泛的IIoT生态系统中.
关键词:
工业物联网的工业物联网.雾计算 雾计算 雾计算一个基本的框架框架.一些事情,事情,事情.虚拟环境 虚拟环境是一个虚拟环境.

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结论:

  • 开发的框架为IIoT挑战提供了灵活和高效的解决方案.
  • 框架内的边缘计算能力尽量减少关键工业操作的延迟.
  • 该框架的可定制性支持各种工业环境和要求.