首页|Research from University of Algarve Has Provided New Data on Intelligent Systems (Ontology-based BIM-AMS integration in European Highways)

Research from University of Algarve Has Provided New Data on Intelligent Systems (Ontology-based BIM-AMS integration in European Highways)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on in telligent systems. According to news reporting from Faro, Portugal, by NewsRx jo urnalists, research stated, “BIM tools enable decision-making during the lifecyc le of engineering structures, such as bridges, tunnels, and roads.” Financial supporters for this research include Fundacao Para A Ciencia E A Tecno logia. Our news editors obtained a quote from the research from University of Algarve: “National Road Authorities use Asset Management Systems (AMS) to manage and moni tor operational information of assets from European Highways, including access t o sensor and inspection data. Interoperability between BIM and AMS systems is vi tal for a timely and effective decision-making process during the operational ph ase of these assets. The European project Connected Data for Effective Collabora tion (CoDEC) designed a framework to support the connections between AMS and BIM platforms, using linked data principles. The CoDEC Data Dictionary was develope d to provide standard data formats for AMS used by European NRA. This paper pres ents the design and development of an Engineering Structures ontology used to en code the shared conceptualization provided by the CoDEC Data Dictionary.”

University of AlgarveFaroPortugalE uropeEngineeringIntelligent SystemsMachine Learning

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Jun.6)