Smart Meeting Room Usage Information and Prediction by Modelling Occupancy Profiles

Autor: Unai Saralegui, JAVIER FRANCISCO MUGUERZA RIVERO, Olatz Arbelaitz, Richard Josephberg, Dr. Miguel Angel Anton
Jazyk: angličtina
Rok vydání: 2019
Předmět:
iot
Sensor networks
Occupancy
Computer science
020209 energy
Behaviour modelling
Control (management)
Real-time computing
Occupancy detection
design
02 engineering and technology
lcsh:Chemical technology
Biochemistry
zigbee
Article
Analytical Chemistry
behaviour modelling
Smart meeting room
ambient intelligence
sensor networks
0202 electrical engineering
electronic engineering
information engineering
lcsh:TP1-1185
Electrical and Electronic Engineering
Buildings
Instrumentation
technologies
Ambient intelligence
energy management-system
behavior
020206 networking & telecommunications
Energy consumption
buildings
Atomic and Molecular Physics
and Optics
smart meeting room
Internet of Things (IoT)
Energy management system
occupancy detection
methodologies
Communications protocol
Wireless sensor network
Energy (signal processing)
Zdroj: TECNALIA Publications
Fundación Tecnalia Research & Innovation
Addi. Archivo Digital para la Docencia y la Investigación
instname
Sensors (Basel, Switzerland)
Sensors
Volume 19
Issue 2
Sensors, Vol 19, Iss 2, p 353 (2019)
Popis: The monitoring of small houses and rooms has become possible due to the advances in IoT sensors, actuators and low power communication protocols in the last few years. As buildings are one of the biggest energy consuming entities, monitoring them has great interest for trying to avoid non-necessary energy waste. Moreover, human behaviour has been reported as being the main discrepancy source between energy usage simulations and real usage, so the ability to monitor and predict actions as opening windows, using rooms, etc. is gaining attention to develop stronger models which may lead to reduce the overall energy consumption of buildings, considering buildings thermal inertia and additional capabilities. In this paper, a case study is described in which four meeting rooms have been monitored to obtain information about the usage of the rooms and later use it to predict their future usage. The results show the possibility to deploy a simple and non-intrusive sensing system whose output could be used to develop advanced control strategies. This work was partially supported by the Department of Education, Universities and Research of the Basque Government (ADIAN research group, grant IT980-16) and by the Ministry of Economy and Competitiveness of the Spanish Government and the European Regional Development fund- ERDF (PhysComp project, TIN2017-85409-P).
Databáze: OpenAIRE
Externí odkaz: