IoT-Based HVAC Monitoring System for Smart Factory

被引：0

作者：

Islam, Fabliha Bushra ^{[1
]}

Nwakanma, Cosmas Ifeanyi ^{[1
]}

Kim, Dong-Seong ^{[1
]}

Lee, Jae-Min ^{[1
]}

机构：

[1] Kumoh Natl Inst Technol, Networked Syst Lab, IT Convergence Engn, Gumi 39177, Gyeongbuk, South Korea

来源：

11TH INTERNATIONAL CONFERENCE ON ICT CONVERGENCE: DATA, NETWORK, AND AI IN THE AGE OF UNTACT (ICTC 2020) | 2020年

基金：

新加坡国家研究基金会;

关键词：

Big data; HVAC; IoT; pattern recognition; raspberry;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This paper presents an Internet of Things (IoT) Based HVAC monitoring platform for smart factory. A system model of energy-efficient Heating, Ventilation and Air Conditioning (HVAC) management in smart factory, which is useful for monitoring, controlling and saving energy. The hardware implementation was done using prototype built with Raspberry pi model B, temperature sensor, humidity sensor, current sensor and Micro-controller to gather and monitor data related to the HVAC for a typical smart factory. The system can collect local/raw data needed for the analysis using an off-the-shelf Big data analytics software. MATLAB pattern recognition toolbox was used to test, train and vaildate the behaviour of data collected and processed using R programming software. The paper presents a promising insights into the combined usage of IoT technologies, Big data analytics and neural network to solve future generation smart factory problems of HVAC management

引用

页码：701 / 704

页数：4

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