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    Universal Information Processing Architecture for Bridge Management

    New search for: Mizuno, Yusuke
    New search for: Fujino, Yozo
    New search for: Abe, Masato

    The explosive growth of databases related to bridge management activities may exceed the capability of our traditional decision-making process. As structures deteriorate, records of inspection, maintenance, repair and rehabilitation accumulate. The fields of structural health monitoring and wireless sensor network are booming, and those technologies can collect data of all kinds. The need for the seamless flow and management of information as shared, reusable asset is emerging. This paper focuses on how to integrate varieties of qualitative and quantitative data related to bridge management, and elaborates the universal architecture for information processing. The architecture consists of Bridge Markup Language (BridgeML) achieving scalability and interoperability, knowledge management application discovering useful patterns and rules from huge quantities of data, and the prototype system has been developed.

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    Universal Information Processing Architecture for Bridge Management

    New search for: Mizuno, Yusuke
    New search for: Fujino, Yozo
    New search for: Abe, Masato

    The explosive growth of databases related to bridge management activities may exceed the capability of our traditional decision-making process. As structures deteriorate, records of inspection, maintenance, repair and rehabilitation accumulate. The fields of structural health monitoring and wireless sensor network are booming, and those technologies can collect data of all kinds. The need for the seamless flow and management of information as shared, reusable asset is emerging. This paper focuses on how to integrate varieties of qualitative and quantitative data related to bridge management, and elaborates the universal architecture for information processing. The architecture consists of Bridge Markup Language (BridgeML) achieving scalability and interoperability, knowledge management application discovering useful patterns and rules from huge quantities of data, and the prototype system has been developed.

    Access

    Check access
    Check availability in my library
    Order at Subito €

    Universal Information Processing Architecture for Bridge Management

    New search for: Mizuno, Yusuke
    New search for: Fujino, Yozo
    New search for: Abe, Masato

    The explosive growth of databases related to bridge management activities may exceed the capability of our traditional decision-making process. As structures deteriorate, records of inspection, maintenance, repair and rehabilitation accumulate. The fields of structural health monitoring and wireless sensor network are booming, and those technologies can collect data of all kinds. The need for the seamless flow and management of information as shared, reusable asset is emerging. This paper focuses on how to integrate varieties of qualitative and quantitative data related to bridge management, and elaborates the universal architecture for information processing. The architecture consists of Bridge Markup Language (BridgeML) achieving scalability and interoperability, knowledge management application discovering useful patterns and rules from huge quantities of data, and the prototype system has been developed.

    Access

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    Check availability in my library
    Order at Subito €

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    Title:

    Universal Information Processing Architecture for Bridge Management

    Contributors:

    Mizuno, Yusuke (author) / Fujino, Yozo (author) / Abe, Masato (author)

    Conference:

    International Conference on Computing in Civil Engineering 2005 ; 2005 ; Cancun, Mexico

    Published in:

    Computing in Civil Engineering (2005) ; 1-10

    Publication date:

    2005-06-24

    ISBN:

    9780784407943

    DOI:

    https://doi.org/10.1061/40794(179)108

    Type of media:

    Conference paper

    Type of material:

    Electronic Resource

    Language:

    English

    Keywords:

    Data collection , Conceptual design , Structural engineering , Computation , Architecture , Construction industry , Bridges , Infrastructure , Computer applications , Information management , Decision support systems

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