Ambient Intelligence based monitoring and energy efficiency optimisation system

Juhani Heilala; Krzysztof Klobut; Tapio Salonen; Pekka Siltanen; Reino Ruusu; Ljubisa Urosevic; Philip Reimer; Alberto Armijo; Mikel Sorli; Tomaz Fatur; Ziga Gantar; Andreas Jung

doi:10.1109/ISAM.2011.5942349

Ambient Intelligence based monitoring and energy efficiency optimisation system

Juhani Heilala^*, Krzysztof Klobut, Tapio Salonen, Pekka Siltanen, Reino Ruusu, Ljubisa Urosevic, Philip Reimer, Alberto Armijo, Mikel Sorli, Tomaz Fatur, Ziga Gantar, Andreas Jung

^*Autor correspondiente de este trabajo

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14 Citas (Scopus)

Resumen

The European research project AmI-MoSES is focused on developing energy efficiency enhancement service solutions for SME manufacturing companies. The planned service concept is based on Industrial Ambient Intelligence (AmI) Reference Architecture and Energy Key Performance Indicators in the form of Energy Use Parameters (EUP). EUP indicators are based on monitored energy consumption data (ECD), other measured data and related energy use context data showing in detail how energy was used. AmI-MoSES project focuses on enabling manufacturing SMEs to efficiently and promptly (online) acquire/provide information/knowledge needed for optimisation of energy consumption. It also aims to assist in effective use of such knowledge to support decisions regarding Life-Cycle oriented Energy Use Management, applying the energy efficiency services. This paper provides theoretical background to RTD practitioners who would like to apply AmI-MoSES approaches in future energy efficiency optimisation activities. The topics comprise Energy Consumption Data (ECD) and Ambient Intelligence (AmI) Monitoring, Energy Use Parameters (EUP) Monitoring and Advisory and context modelling for turning EUPs into knowledge assets.

Idioma original	Inglés
Título de la publicación alojada	Proceedings - 2011 IEEE International Symposium on Assembly and Manufacturing, ISAM 2011
DOI	https://doi.org/10.1109/ISAM.2011.5942349
Estado	Publicada - 2011
Evento	2011 IEEE International Symposium on Assembly and Manufacturing, ISAM 2011 - Tampere, Finlandia Duración: 25 may 2011 → 27 may 2011

Serie de la publicación

Nombre	Proceedings - 2011 IEEE International Symposium on Assembly and Manufacturing, ISAM 2011

Conferencia

Conferencia	2011 IEEE International Symposium on Assembly and Manufacturing, ISAM 2011
País/Territorio	Finlandia
Ciudad	Tampere
Período	25/05/11 → 27/05/11

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10.1109/ISAM.2011.5942349

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Heilala, J., Klobut, K., Salonen, T., Siltanen, P., Ruusu, R., Urosevic, L., Reimer, P., Armijo, A., Sorli, M., Fatur, T., Gantar, Z., & Jung, A. (2011). Ambient Intelligence based monitoring and energy efficiency optimisation system. En Proceedings - 2011 IEEE International Symposium on Assembly and Manufacturing, ISAM 2011 Artículo 5942349 (Proceedings - 2011 IEEE International Symposium on Assembly and Manufacturing, ISAM 2011). https://doi.org/10.1109/ISAM.2011.5942349

@inproceedings{032fc12af4ea47ebb39418a9ceac6efe,

title = "Ambient Intelligence based monitoring and energy efficiency optimisation system",

abstract = "The European research project AmI-MoSES is focused on developing energy efficiency enhancement service solutions for SME manufacturing companies. The planned service concept is based on Industrial Ambient Intelligence (AmI) Reference Architecture and Energy Key Performance Indicators in the form of Energy Use Parameters (EUP). EUP indicators are based on monitored energy consumption data (ECD), other measured data and related energy use context data showing in detail how energy was used. AmI-MoSES project focuses on enabling manufacturing SMEs to efficiently and promptly (online) acquire/provide information/knowledge needed for optimisation of energy consumption. It also aims to assist in effective use of such knowledge to support decisions regarding Life-Cycle oriented Energy Use Management, applying the energy efficiency services. This paper provides theoretical background to RTD practitioners who would like to apply AmI-MoSES approaches in future energy efficiency optimisation activities. The topics comprise Energy Consumption Data (ECD) and Ambient Intelligence (AmI) Monitoring, Energy Use Parameters (EUP) Monitoring and Advisory and context modelling for turning EUPs into knowledge assets.",

keywords = "Energy Efficiency, Energy Use Parameters, Manufacturing Process",

author = "Juhani Heilala and Krzysztof Klobut and Tapio Salonen and Pekka Siltanen and Reino Ruusu and Ljubisa Urosevic and Philip Reimer and Alberto Armijo and Mikel Sorli and Tomaz Fatur and Ziga Gantar and Andreas Jung",

year = "2011",

doi = "10.1109/ISAM.2011.5942349",

language = "English",

isbn = "9781612843438",

series = "Proceedings - 2011 IEEE International Symposium on Assembly and Manufacturing, ISAM 2011",

booktitle = "Proceedings - 2011 IEEE International Symposium on Assembly and Manufacturing, ISAM 2011",

note = "2011 IEEE International Symposium on Assembly and Manufacturing, ISAM 2011 ; Conference date: 25-05-2011 Through 27-05-2011",

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Heilala, J, Klobut, K, Salonen, T, Siltanen, P, Ruusu, R, Urosevic, L, Reimer, P, Armijo, A, Sorli, M, Fatur, T, Gantar, Z & Jung, A 2011, Ambient Intelligence based monitoring and energy efficiency optimisation system. En Proceedings - 2011 IEEE International Symposium on Assembly and Manufacturing, ISAM 2011., 5942349, Proceedings - 2011 IEEE International Symposium on Assembly and Manufacturing, ISAM 2011, 2011 IEEE International Symposium on Assembly and Manufacturing, ISAM 2011, Tampere, Finlandia, 25/05/11. https://doi.org/10.1109/ISAM.2011.5942349

Ambient Intelligence based monitoring and energy efficiency optimisation system. / Heilala, Juhani; Klobut, Krzysztof; Salonen, Tapio et al.
Proceedings - 2011 IEEE International Symposium on Assembly and Manufacturing, ISAM 2011. 2011. 5942349 (Proceedings - 2011 IEEE International Symposium on Assembly and Manufacturing, ISAM 2011).

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

TY - GEN

T1 - Ambient Intelligence based monitoring and energy efficiency optimisation system

AU - Heilala, Juhani

AU - Klobut, Krzysztof

AU - Salonen, Tapio

AU - Siltanen, Pekka

AU - Ruusu, Reino

AU - Urosevic, Ljubisa

AU - Reimer, Philip

AU - Armijo, Alberto

AU - Sorli, Mikel

AU - Fatur, Tomaz

AU - Gantar, Ziga

AU - Jung, Andreas

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N2 - The European research project AmI-MoSES is focused on developing energy efficiency enhancement service solutions for SME manufacturing companies. The planned service concept is based on Industrial Ambient Intelligence (AmI) Reference Architecture and Energy Key Performance Indicators in the form of Energy Use Parameters (EUP). EUP indicators are based on monitored energy consumption data (ECD), other measured data and related energy use context data showing in detail how energy was used. AmI-MoSES project focuses on enabling manufacturing SMEs to efficiently and promptly (online) acquire/provide information/knowledge needed for optimisation of energy consumption. It also aims to assist in effective use of such knowledge to support decisions regarding Life-Cycle oriented Energy Use Management, applying the energy efficiency services. This paper provides theoretical background to RTD practitioners who would like to apply AmI-MoSES approaches in future energy efficiency optimisation activities. The topics comprise Energy Consumption Data (ECD) and Ambient Intelligence (AmI) Monitoring, Energy Use Parameters (EUP) Monitoring and Advisory and context modelling for turning EUPs into knowledge assets.

AB - The European research project AmI-MoSES is focused on developing energy efficiency enhancement service solutions for SME manufacturing companies. The planned service concept is based on Industrial Ambient Intelligence (AmI) Reference Architecture and Energy Key Performance Indicators in the form of Energy Use Parameters (EUP). EUP indicators are based on monitored energy consumption data (ECD), other measured data and related energy use context data showing in detail how energy was used. AmI-MoSES project focuses on enabling manufacturing SMEs to efficiently and promptly (online) acquire/provide information/knowledge needed for optimisation of energy consumption. It also aims to assist in effective use of such knowledge to support decisions regarding Life-Cycle oriented Energy Use Management, applying the energy efficiency services. This paper provides theoretical background to RTD practitioners who would like to apply AmI-MoSES approaches in future energy efficiency optimisation activities. The topics comprise Energy Consumption Data (ECD) and Ambient Intelligence (AmI) Monitoring, Energy Use Parameters (EUP) Monitoring and Advisory and context modelling for turning EUPs into knowledge assets.

KW - Energy Efficiency

KW - Energy Use Parameters

KW - Manufacturing Process

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M3 - Conference contribution

AN - SCOPUS:80052077132

SN - 9781612843438

T3 - Proceedings - 2011 IEEE International Symposium on Assembly and Manufacturing, ISAM 2011

BT - Proceedings - 2011 IEEE International Symposium on Assembly and Manufacturing, ISAM 2011

T2 - 2011 IEEE International Symposium on Assembly and Manufacturing, ISAM 2011

Y2 - 25 May 2011 through 27 May 2011

ER -

Heilala J, Klobut K, Salonen T, Siltanen P, Ruusu R, Urosevic L et al. Ambient Intelligence based monitoring and energy efficiency optimisation system. En Proceedings - 2011 IEEE International Symposium on Assembly and Manufacturing, ISAM 2011. 2011. 5942349. (Proceedings - 2011 IEEE International Symposium on Assembly and Manufacturing, ISAM 2011). doi: 10.1109/ISAM.2011.5942349

Ambient Intelligence based monitoring and energy efficiency optimisation system

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