Smart Lighting in Multipurpose OutdoorEnvironments: Energy Efficient Solution usingNetwork of Cooperating Objects.•Date: A...
Smart Lighting in Multipurpose OutdoorEnvironments: Energy Efficient Solutionusing Network of Cooperating Objects.Anna Flo...
Outline Retrofitted area Challenges and potential solutions System design Prototype implementation and testing Integr...
Introduction• Impact of lighting– People• Safety, Comfort• Activities,• Age• Health– Energy consumption• 5 to 10% of total...
Environment description6.6.2013TUT/FAST-Lab. 5 HPS lamps No adaptive controlimplemented Some lamps are onduring the nig...
6.6.2013TUT/FAST-Lab. 6Environment description continuedUsers:• Teaching personnel• Students• Support personnelUses:• Ente...
Retrofitting objectives• Low consuming light sources– LED lamps + DALI bus• Adaptive control fitted to the specifics of th...
Architecture6.6.2013TUT/FAST-Lab. 8
Data → Information6.6.2013TUT/FAST-Lab. 9Weather conditionsIlluminationlevelUsers present Clear Mist Rain SnowAbove thresh...
Monitoring and control6.6.2013TUT/FAST-Lab. 10Sequence diagrams of possibleoperation scenariosEvaluation testbed
Environment integration6.6.2013TUT/FAST-Lab. 11MES EMS
Conclusions & Future work• Handling multiple users and uses• Reduced energy consumption• Increasing energy awareness• Sett...
References1. Hernández-Muñoz, J. M., Vercher, J. B., Muñoz L., Galache, J. A., Presser, M., Hernández Gómez, L.A., Petters...
References9. Melchore, J. A.: Sound Practices for Consistent Human Visual inspection, AAPS PharmSciTech, March2011,12(1):2...
References17. J. O. Kephart and D. Chess. The vision of autonomic computing. In IEEE Computer Magazine, 2003.18. Ni, L. M....
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Smart Lighting in Multipurpose Outdoor Environments: Energy Efficient Solution using Network of Cooperating Objects.

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Conference:
4th International Workshop on Networks of Cooperating Objects for Smart Cities 2013 (CONET/UBICITEC 2013)
Title of the paper:
Smart Lighting in Multipurpose Outdoor Environments: Energy Efficient Solution using Network of Cooperating Objects
Authors:
Anna Florea
Ahmed Farahat
Dr. Corina Postelnicu
Prof. Jose L. Martinez Lastra, Dr.Sc.
Prof. Francisco J. Azcondo Sánchez

If you would like to receive a reprint of the original paper, please contact us

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  • Approaches to modelling and knowledge representation are out of the scope of present paper.
  • Smart Lighting in Multipurpose Outdoor Environments: Energy Efficient Solution using Network of Cooperating Objects.

    1. 1. Smart Lighting in Multipurpose OutdoorEnvironments: Energy Efficient Solution usingNetwork of Cooperating Objects.•Date: April, 2013•Linked to: RTD research at FASTContact informationTampere University of Technology,FAST Laboratory,P.O. Box 600,FIN-33101 Tampere,FinlandEmail: fast@tut.fiwww.tut.fi/fastConference:4th International Workshop on Networksof Cooperating Objects for Smart Cities2013 (CONET/UBICITEC 2013)Title of the paper:Smart Lighting in Multipurpose OutdoorEnvironments: Energy Efficient Solutionusing Network of Cooperating ObjectsAuthors:Anna FloreaAhmed FarahatDr. Corina PostelnicuProf. Jose L. Martinez Lastra, Dr.Sc.Prof. Francisco J. Azcondo SánchezIf you would like to receive a reprint ofthe original paper, please contact us6.6.2013TUT/FAST-Lab. 1
    2. 2. Smart Lighting in Multipurpose OutdoorEnvironments: Energy Efficient Solutionusing Network of Cooperating Objects.Anna FloreaAhmed FarahatDr. Corina PostelnicuProf. Jose L. Martinez Lastra, Dr.Sc.Tampere University of Technology, FinlandProf. Francisco J. Azcondo SánchezUniversity of Cantabria, Santander, Spain
    3. 3. Outline Retrofitted area Challenges and potential solutions System design Prototype implementation and testing Integration with Industrial applications Conclusions and future work References6.6.2013TUT/FAST-Lab. 3
    4. 4. Introduction• Impact of lighting– People• Safety, Comfort• Activities,• Age• Health– Energy consumption• 5 to 10% of totalenergy consumptionon the planet [11]• Light Sources• Control Strategies• Motivation– Location• Finland, TampereUniversity of Technology6.6.2013TUT/FAST-Lab. 4http://www.gaisma.com/en/location/helsinki.html
    5. 5. Environment description6.6.2013TUT/FAST-Lab. 5 HPS lamps No adaptive controlimplemented Some lamps are onduring the night for thepurpose of safety The lamps are notswitched of in the daytime during the darkestperiod of winter
    6. 6. 6.6.2013TUT/FAST-Lab. 6Environment description continuedUsers:• Teaching personnel• Students• Support personnelUses:• Entering university• LogisticsZones:• Docking area• Parking• Access to the facilitiesFactoryAutomationLabOffices andteachingfacilities
    7. 7. Retrofitting objectives• Low consuming light sources– LED lamps + DALI bus• Adaptive control fitted to the specifics of theenvironment– Data– Information– Control and monitoring6.6.2013TUT/FAST-Lab. 7
    8. 8. Architecture6.6.2013TUT/FAST-Lab. 8
    9. 9. Data → Information6.6.2013TUT/FAST-Lab. 9Weather conditionsIlluminationlevelUsers present Clear Mist Rain SnowAbove thresholdPersonnel P111 P112 P113 P114Truck P121 P122 P123 P124Both P131 P132 P133 P134None P141 P142 P143 P144Below threshold …PLamp operating modes (% oftotal power) SL1 L2 L3 L4P111 0 0 0 0 S1… … …P244 30 50 50 0 SmWeather service
    10. 10. Monitoring and control6.6.2013TUT/FAST-Lab. 10Sequence diagrams of possibleoperation scenariosEvaluation testbed
    11. 11. Environment integration6.6.2013TUT/FAST-Lab. 11MES EMS
    12. 12. Conclusions & Future work• Handling multiple users and uses• Reduced energy consumption• Increasing energy awareness• Setting up grounds for holistic EMS• Scalability of the application• Fine tuning of the light scenes6.6.2013TUT/FAST-Lab. 12
    13. 13. References1. Hernández-Muñoz, J. M., Vercher, J. B., Muñoz L., Galache, J. A., Presser, M., Hernández Gómez, L.A., Pettersson, J.: Smart Cities at the Forefront of the Future Internet In : The future internet, pp. 447-462.Springer-Verlag Berlin, Heidelberg (2011).2. da Rocha, A.R., Delicato, F. C., de Souza, J.N., Gomes, D. G., Pirmez, L.: A Semantic Middleware for AutonomicWireless Sensor Networks. WMUPS’09, June 16, 2009, Dublin, Ireland.3. Yoon, J.-S., Shin, S-J., Suh S.-H.: A conceptual framework for the ubiquitous factory. International Journal ofProduction Research Vol. 50, Iss. 8, 20124. Wieland, M., Leymann,F., Schäfer, M., Lucke, D., Constantinescu C., Westkämper, E.: Using Context-awareWorkflows for Failure Management in a Smart Factory. In: Proceedings of Fourth International Conference onMobile Ubiquitous Computing, Systems, Services and Technologies UBICOMM 2010., pp.379-384, October, 2010, Florence, Italy,.5. Wang, J.; Zhang, Y., Lu, G.: Application of WSN in Mine Emergency Communication System, In: 4th InternationalConference on Wireless Communications, Networking and Mobile Computing, 2008. WiCOM 08., pp.1-3, 12-14Oct. 20086. Marron, P.J., Minder, D.: European Research on Cooperating Objects, In: 6th Annual IEEE CommunicationsSociety Conference on Sensor, Mesh and Ad Hoc Communications and Networks Workshops, 2009. SECONWorkshops 09. pp.1-3, 22-26 June 20097. Karnouskos, S., or, V., Handte, M., Marron, P.J.: Ubiquitous Integration of Cooperating Objects, Availableon-line at: https://e67d01f2-a-62cb3a1a-s-sites.googlegroups.com/site/handteorg/about/papers/2011-IJNGC-Ubiquitous-Integration-of-Cooperating-Objects.pdf . Last access on 20.03.20138. Karnouskos, S. (2010). The cooperative Internet of Things enabled Smart Grid. In Proceedings of the 14th IEEEInternational Symposium on Consumer Electronics (ISCE2010), June 07-10, Braunschweig, Germany6.6.2013TUT/FAST-Lab. 13
    14. 14. References9. Melchore, J. A.: Sound Practices for Consistent Human Visual inspection, AAPS PharmSciTech, March2011,12(1):215-221.10. Hedge A., Sims W. R., Becker F. D.: Lighting the Computerized Office, presentation at the Human FactorsSociety, October 1989.11. Nisson N., Wilson A.:Virginia Energy Savers Handbook: 3rd Edition, Virginia Department of Mines, Minerals andEnergy, 2008, Chapter 8.12. Williams A., Atkinson B., Garbesi K., Rubinstein F.: A Meta-Analysis of Energy Savings from Lighting Controls inCommercial Buildings”, Energy Analysis Department, Lawrence Berkley National Laboratory. LBNLPaper LBNL-5095E. Available on-line at:http://efficiency.lbl.gov/drupal.files/ees/Lighting%20Controls%20in%20Commercial%20Buildings_LBNL-5095-E.pdf . Last access on 15.01.2012.13. U.S. Department of Energy, Energy efficiency program: test procedure for lighting systems (luminaires). Federalregister 76(150):47178-47180. 201114. Light up the visual Factory. Lighting Solutions for Lean Manufacturing. White paper. Available on-line at:http://www.controleng.com/single-article/sponsored-white-paper-light-up-the-visual-factory/0b99905f978febb7bd0fe374f03be263.html . Last access on 16.01.2013.15. Bhardwaj, S.; Syed, A.A.; Ozcelebi, T.; Lukkien, J.: Power-managed smart lighting using a semanticinteroperability architecture, IEEE Transactions on Consumer Electronics, vol.57, no.2, pp.420,427, May 201116. Siddiqui, A.A.; Ahmad, A.W.; Hee Kwon Yang; Chankil Lee, "ZigBee based energy efficient outdoor lightingcontrol system," 14th International Conference on Advanced Communication Technology(ICACT), 2012, pp.916,919, 19-22 Feb. 20126.6.2013TUT/FAST-Lab. 14
    15. 15. References17. J. O. Kephart and D. Chess. The vision of autonomic computing. In IEEE Computer Magazine, 2003.18. Ni, L. M., Zhu, Y., Ma, J., Li, M., Luo, Q., Liu, Y., Cheung, S. C., Yang, Q.: Semantic sensor net: An extensibleframework. In Proceedings of ICCNMC. ICCNMC, 2005.19. De, S., Barnaghi, P., Bauer, M., Meissner, S.: Service modelling for the Internet of Things, FederatedConference on Computer Science and Information Systems (FedCSIS), 2011, pp.949-955, 18-21 Sept. 201120. Serbanati, A., Medaglia, C. M., Biader Ceipidor, U.: Building Blocks of the Internet of Things: State of the Artand Beyond, Deploying RFID - Challenges, Solutions, and Open Issues, Dr. Cristina Turcu (Ed.), 2011, ISBN:978-953-307-380-4, InTech, Available from: http://www.intechopen.com/books/deployingrfid-challenges-solutions-and-open-issues/building-blocks-of-the-internet-of-things-state-of-the-art-and-beyond21. Embedded WiSeNts Roadmap, available online: http://www.embeddedwisents.org/dissemination/roadmap.html22. - n, P.J.: Requirement Considerations forUbiquitous Integration of Cooperating Objects, 4th IFIP International Conference on New Technologies, Mobilityand Security (NTMS), 2011, pp.1-5, 7-10 Feb. 201123. Tanaka, K., Higaki, H., Takizawa, M.: Object-based checkpoints in distributed systems, Third InternationalWorkshop on Object-Oriented Real-Time Dependable Systems, 1997. Proceedings, pp.9-16, 5-7 Feb 199724. Ramos, A.V., Delamer, I.M., Lastra, J.L.M.: Embedded service oriented monitoring, diagnostics and control:Towards the asset-aware and self-recovery factory, 9th IEEE International Conference on Industrial Informatics(INDIN), 2011, pp.497-502, 26-29 July 20116.6.2013TUT/FAST-Lab. 15
    16. 16. Thank you!FAST @ YouTube FAST @ Facebook FAST @ Slideshare

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