![Advances in Electrical and Electronic Engineering and Computer Science](/uploads/posts/2021-05/1621085833_cov250mk.jpg)
Автор: Zahriladha Zakaria, Seyed Sattar Emamian
Издательство: Springer
Год: 2021
Страниц: 127
Язык: английский
Формат: pdf (true), epub
Размер: 37.4 MB
This book presents a compilation of research works covering the fields of computer science, electrical and electronic engineering.
The context of Industry 4.0 emphasizes on networking of manufacturing stations to a remote server for process planning and visualization. Especially for electronics production which is sensitive to process variations, networking of the manufacturing stations facilitates the monitoring of manufacturing stations remotely. In contrast with manual look up of the machines, the aforementioned approach allows prompt notification in real-time to manufacturer for immediate resolution and as a result, breakdown time of the production can be minimized. Therefore, this paper presents a wireless interface system for electronics microfabrication stations. Each microfabrication stations are interfaced with a WiFi module for wireless data transmission to a remote server established on Raspberry Pi. The experimental setup and testing of the developed system is presented in this paper for public interest.
In this work, WeMos WiFi ESP8266 is used to implement the wireless interface between the production stations and Raspberry Pi microcontroller is applied as the embedded server for remote visualization. The microfabrication stations should transfer the production status and able to be visualized at the remote server.
Energy consumption in telecommunication industries is a major challenge for the network providers where most of the power consumed equipments are from the wireless access network and the optical network transmission. The non-renewable energy are the main sources of electricity such as diesel, burning fossil fuel and only a small percentage of energy comes from clean renewable energy source such as solar, wind, biomass and tidal power. Therefore, this research work is aimed to estimate the precise power consumption of an integrated optical-wireless access networks by characterizing the most power demanding equipment and providing an alternative source of a clean renewable energy to power them. The main advantage of this technique is the simplicity in which the power consumption can simply be modelled by using Matlab and to mitigates the GHG emissions of the system by hybridizing renewable energy which are solar and wind into existing energy sources and simulated using Homer Pro.
Contents:
Скачать Advances in Electrical and Electronic Engineering and Computer Science
![](/templates/Mirlib/images/MirLib.png)
[related-news] [/related-news]
Комментарии 0
Комментариев пока нет. Стань первым!