IoT-Based HVAC Monitoring System for Smart Factory

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.

I. Introduction

Heating, Ventilation and Air-Conditioning (HVAC) has been shown to account for 30-40 percentage of most total electricity bills and the need to lower cost is imperative both for smart factories and commercial buildings. Another need for intelligent HVAC is to ensure optimization of these resources despite the need to cut cost. There is need for example for room temperature optimization such that rooms are kept at the needed temperature at any point in time. To fix the dual challenge of HVAC cost [1] and optimization, an intelligent monitoring system is proposed. Features include-sensing the parameters indoor (Temperature, humidity and carbon dioxide), detects human presence, has efficient algorithm and provides feedback via web application. Benefits include Feedback, control and optimization of HVAC , reduced operational cost.