Ambient Intelligence based monitoring and energy efficiency optimisation system

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

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

    12 Citations (Scopus)

    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 (on-line) 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.
    Original languageEnglish
    Title of host publicationAssembly and Manufacturing (ISAM), 2011 IEEE International Symposium
    PublisherIEEE Institute of Electrical and Electronic Engineers
    Number of pages6
    ISBN (Electronic)978-1-61284-343-8 , 978-1-61284-343-8
    ISBN (Print)978-1-61284-342-1
    DOIs
    Publication statusPublished - 2011
    MoE publication typeA4 Article in a conference publication
    Event2011 IEEE International Symposium on Assembly and Manufacturing, ISAM 2011 - Tampere, Finland
    Duration: 25 May 201127 May 2011

    Conference

    Conference2011 IEEE International Symposium on Assembly and Manufacturing, ISAM 2011
    Abbreviated titleISAM 2011
    CountryFinland
    CityTampere
    Period25/05/1127/05/11

    Fingerprint

    Energy efficiency
    Monitoring
    Energy utilization
    Life cycle
    Ambient intelligence
    Industry

    Keywords

    • energy user paramters
    • energy efficiency
    • manufacturing process

    Cite this

    Heilala, J., Klobut, K., Salonen, T., Siltanen, P., Ruusu, R., Urosevic, L., ... Jung, A. (2011). Ambient Intelligence based monitoring and energy efficiency optimisation system. In Assembly and Manufacturing (ISAM), 2011 IEEE International Symposium IEEE Institute of Electrical and Electronic Engineers . https://doi.org/10.1109/ISAM.2011.5942349
    Heilala, Juhani ; Klobut, Krzysztof ; Salonen, Tapio ; Siltanen, Pekka ; Ruusu, Reino ; Urosevic, Ljubisa ; Reimer, Philip ; Arminjo, Alberto ; Sorli, Mikel ; Fatur, Tomaz ; Gantar, Ziga ; Jung, Andreas. / Ambient Intelligence based monitoring and energy efficiency optimisation system. Assembly and Manufacturing (ISAM), 2011 IEEE International Symposium . IEEE Institute of Electrical and Electronic Engineers , 2011.
    @inproceedings{45ad3c06809a40a19bda4f9ce20a0213,
    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 (on-line) 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 user paramters, energy efficiency, 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 Arminjo and Mikel Sorli and Tomaz Fatur and Ziga Gantar and Andreas Jung",
    note = "Project: 23620",
    year = "2011",
    doi = "10.1109/ISAM.2011.5942349",
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    Heilala, J, Klobut, K, Salonen, T, Siltanen, P, Ruusu, R, Urosevic, L, Reimer, P, Arminjo, A, Sorli, M, Fatur, T, Gantar, Z & Jung, A 2011, Ambient Intelligence based monitoring and energy efficiency optimisation system. in Assembly and Manufacturing (ISAM), 2011 IEEE International Symposium . IEEE Institute of Electrical and Electronic Engineers , 2011 IEEE International Symposium on Assembly and Manufacturing, ISAM 2011, Tampere, Finland, 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; Siltanen, Pekka; Ruusu, Reino; Urosevic, Ljubisa; Reimer, Philip; Arminjo, Alberto; Sorli, Mikel; Fatur, Tomaz; Gantar, Ziga; Jung, Andreas.

    Assembly and Manufacturing (ISAM), 2011 IEEE International Symposium . IEEE Institute of Electrical and Electronic Engineers , 2011.

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

    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 - Arminjo, Alberto

    AU - Sorli, Mikel

    AU - Fatur, Tomaz

    AU - Gantar, Ziga

    AU - Jung, Andreas

    N1 - Project: 23620

    PY - 2011

    Y1 - 2011

    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 (on-line) 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 (on-line) 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 user paramters

    KW - energy efficiency

    KW - manufacturing process

    U2 - 10.1109/ISAM.2011.5942349

    DO - 10.1109/ISAM.2011.5942349

    M3 - Conference article in proceedings

    SN - 978-1-61284-342-1

    BT - Assembly and Manufacturing (ISAM), 2011 IEEE International Symposium

    PB - IEEE Institute of Electrical and Electronic Engineers

    ER -

    Heilala J, Klobut K, Salonen T, Siltanen P, Ruusu R, Urosevic L et al. Ambient Intelligence based monitoring and energy efficiency optimisation system. In Assembly and Manufacturing (ISAM), 2011 IEEE International Symposium . IEEE Institute of Electrical and Electronic Engineers . 2011 https://doi.org/10.1109/ISAM.2011.5942349