Smart Building Automation Management System
Balasubramanian A
, Arun kumar P , Akshay Kumar M , Sankar S
This project presents the details of the installation of an energy management system in the buildings of a typical college campus in Salem and the consequent reduction in the electrical energy consumption. The electrical load demand in the universities is getting increased recently at an accelerated pace because of the rapid expansion of the campus infrastructure due to the increase in the intake of students, starting of new courses, research centres and laboratories. Internet of Things (IoT), i.e. the intercommunication of machines for an effective delivery of services with minimal human intervention, can form the basis of such systems. IoT based systems are gaining popularity due to the availability of highspeed mobile networks coupled with cost effective, accessible and fast embedded hardware. The system architecture takes care of the scenario where the devices are turned off when they are not in use. Being an entirely open source framework, a more deterministic control of security features can be attained by the user and can reduce the consecutive increase in CO2 emission from generation plant. Safety and security of any living or working place is one of the most primary concerns. One of the reasons for the rise of the smart building is the increasing risk of burglary and robbery and the busy lifestyle. We propose a methodology where the wireless sensor inputs the parameters to the Arduino Uno microcontroller like human detection, obstacle detection and keypad for the security. The microcontroller then uploads these values onto the cloud with the help of IOT. These values can be accessed by the concerned person through the android smart phone. The SHEMS is designed with an algorithm that is based on Hidden Markov Model (HMM) in order to estimate the probability of the building being in each of the above states.
"Smart Building Automation Management System", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.5, Issue 5, page no.234 - 237, May-2020, Available :https://ijsdr.org/papers/IJSDR2005040.pdf
Volume 5
Issue 5,
May-2020
Pages : 234 - 237
Paper Reg. ID: IJSDR_191740
Published Paper Id: IJSDR2005040
Downloads: 000347221
Research Area: Engineering
Country: Erode, Tamilnadu, India
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave
