A System for Energy Savings in an Ambient Intelligence Environment

Transcription

1 A System for Energy Savings in an Ambient Intelligence Environment Thanos G. Stavropoulos Dimitris Vrakas Alexandros Arvanitidis Ioannis Vlahavas This work is funded by Operational Program for Education and Lifelong Learning

2 Outline 1. Introduction 2. Related Work 3. Smart IHU a. Smart Device Network b. The awesome web service middleware c. The idealism desktop application

3 1 Introduction Pervasive Computing (PerCo) or Ubiquitous Computing (UbiComp) Computer fades into background Intuitive HCI, through physical objects Ambient Intelligence (AmI) Comfort, Automations Smart IHU AmI system for Energy Savings and better Quality of Life

4 2 Related Work AmI Systems Service Oriented Architecture (SOA) Multimedia, Home Automation Hydra ( Semantic Web Service middleware to expose devices Home SOA [1] Middleware to unify Services (e.g. UPnP, Bonjour) and home automation protocols (e.g. ZigBee, X10) No strategy, algorithm or motivation towards Energy Savings

5 2 Related Work AmI Systems System Domain Middleware W. Services Semantic Composition [2] MEDUSA - Yes Yes Yes Yes [3] Mokhtar et al. - Yes Yes Yes Yes [4] Paluska et al. - No No No Yes [5] ResCo - Yes No No Yes [6] Kalofonos et al. Multimedia Yes Yes Yes Yes [7] InterPlay Multimedia Yes No No Yes [1] Home SOA Mult./Autom. No No No Yes [8] Mingkhwan et al. Multimedia Yes Yes Yes Yes Hydra Middleware Automation Yes Yes Yes No

6 3 Smart IHU Three-Layer AmI application Smart Device Network Various Platforms, Protocols awesome Middleware interoperability, flexibility Applications Desktop, Web, Composition, Intelligence

7 3 Smart IHU a. Smart Device Network Home Automation Protocols in the market Wireless (e.g. ZigBee, Z-Wave) Wired (e.g. X10, INSTEON) Smart Plugs Sensors for appliance Power/Energy Consumption, State Actuators for switching appliances Sensor Boards Sensors for Temperature, Humidity, Luminance Smart Clampers Sensors for main supply Power/Energy Consumption

8 3 Smart IHU a. Smart Device Network Deployment Three Smart Plug Mesh Networks Around Sixty ZigBee Smart Plugs USB interface One Sensor Board network Four ZigBee Sensor Boards WiFi interface Two sets of three 3-phase RF Smart Clampers Two main Power Supplies, Data Center USB interface

9 3 Smart IHU b. awesome a WEb Service MiddlewarE for AmI applications Drivers for Smart Devices Service Oriented Architecture Offers + Interoperability, platform independence + Remote access, Flexibility + Large-scale topologies (more than one server) + A base for simple clients and AmI applications

10 3 Smart IHU b. awesome Topology

11 3 Smart IHU c. idealism a Desktop AppLIcation for Smart Management Designed to Give full access to Smart Devices Web Service Client for all data and functions of awesome Motivate towards Energy Consumption awareness by monitoring historical and real time energy consumption and environmental conditions in various views Enable decision making for Energy Savings Offer more functions (e.g. schedules)

12 Node Tree View per Device Class More functions and Node List Also available per Group or Room Historical Data Real Time Data Functions for Actuators

13 4 Future Work Diversity More Sensors and Actuators More Protocols More Parameters (e.g. CO2, Motion) Energy Consumption Reduction Micro server-boards for awesome Automation Efficient Web Service Discovery Web Service Composition

14 Thank you

15 References 1. André Bottaro, Anne Gérodolle, Home SOA - Facing Protocol Heterogeneity in pervasive Applications, 5th IEEE International Conference on Pervasive Services (ICPS 2008), Sorrento, Italy, July O. Davidyuk, N. Georgantas, V. Issarny, J. Riekki, MEDUSA: Middleware for End-User Composition of Ubiquitous Applications, in: Handbook of Research on Ambient Intelligence and Smart Environments: Trends and Perspectives, IGI Global, Ben Mokhtar, S. (2007). Semantic Middleware for Service-Oriented Pervasive Computing. Doctoral dissertation, University of Paris 6, Paris, France.K. Elissa, Title of paper if known, unpublished. 4. Paluska, J. M., Pham, H., Saif, U., Chau, G., Terman, C. & Ward, S. (2008). Structured decomposition of adaptive applications. International Journal of Pervasive and Mobile Computing, 4(6), Brent Lagesse, Mohan Kumar, Matthew Wright: ReSCo: A middleware component for Reliable Service Composition in pervasive systems. PerCom Workshops 2010: Wisner P. & Kalofonos D.N. (2007). A Framework for End-User Programming of Smart Homes Using Mobile Devices. Proceedings of the 4th IEEE Consumer Communications and Networking Conference CCNC'07 (pp ), Washington DC: IEEE Computer Society. 7. Messer, A., Kunjithapatham, A., Sheshagiri, M., Song, H., Kumar, P., Nguyen, P. & Yi, K.H. (2006). InterPlay: A Middleware for Seamless Device Integration and Task Orchestration in a Networked Home. Proceedings of the Annual IEEE International Conference on Pervasive Computing PerCom'06 (pp ), Washington DC: IEEE Computer Society. 8. Mingkhwan, P. Fergus, O. Abuelma'Atti, M. Merabti, B. Askwith, and M. B. Hanneghan. Dynamic service composition in home appliance networks. Multimedia Tools and Applications, 29(3): , 2006