At present, the capability to collect information from different sources (BIM, Sensors, Assets database) for Asset Management (AM) use has generated significant opportunities for asset owners and Facility Managers. Building Information Modeling (BIM) in particular, is considered as a potentially effective data pool for storing and managing project information during the 15 building lifecycle, providing a common data environment for stakeholder data and guarantying 16 information availability and credibility at the handover stage. However, this data integration in a BIM environment has come along with issues related to the establishment of an effective process to extract, store, manage, integrate and distribute data to ensure interoperability. Further to the interoperability issue, an important challenge is the identification of what data is relevant, reliable, useful and also can add value to the AM processes. This research explores the asset owner requirements from BIM in the operation and maintenance stage from an AM perspective. The research aim is twofold: first, to synthesize the non-geometric BIM data required for AM 23 and develop a relevant taxonomy. And secondly, to develop an Application Programing Interface 24 2 (API) plug-in for Autodesk Revit in order to implement the proposed taxonomy. To achieve the aims of this study, a critical review of previous literature, face-to-face and focus group interviews with BIM and Facilities Management (FM) experts were conducted. The main output is a sixty-parameter Asset Consuming Energy Information Management (ACE-IM) taxonomy and the relevant API plug-in which can help BIM professionals to identify the required data to be submitted to Facility Managers in order to improve AM processes.
Purpose The purpose of this paper is to investigate the transfer of information from the building information modelling (BIM) models to either conventional or advanced asset management platforms using Linked Data. To achieve this aim, a process for generating Linked Data in the asset management context and its integration with BIM data is presented. Design/methodology/approach The research design employs a participatory action research (PAR) approach. The PAR approach utilized two qualitative data collection methods, namely; focus group and interviews to identify and evaluate the required standards for the mapping of different domains. Also prototyping which is an approach of Software Development Methodology is utilized to develop the ontologies and Linked Data. Findings The proposed process offers a comprehensive description of the required standards and classifications in construction domain, related vocabularies and object-oriented links to ensure the effective data integration between different domains. Also the proposed process demonstrates the different stages, tools, best practices and guidelines to develop Linked Data, armed with a comprehensive use case Linked Data generation about building assets that consume energy. Originality/value The Linked Data generation and publications in the domain of AECO is still in its infancy and it also needs methodological guidelines to support its evolution towards maturity in its processes and applications. This research concentrates on the Linked Data applications with BIM to link across domains where few studies have been conducted.
Purpose With the rapid development of digital information and modelling software applications for construction, questions have arisen about their impact on construction safety. Meanwhile, recognition that designers can help reduce risks involved in construction, operation and maintenance via a prevention through design (PtD) approach (also known as design for safety) highlights the significance of digital technologies and tools to PtD. Thus, this paper aims to provide a systematic review of a wide range of digital technologies for enhancing PtD. Design/methodology/approach A five-stage systematic literature review with coding and synthesis of findings is presented. The review covers journal articles published between 2000 and 2020 related to the applications of various digital technologies, such as building information modelling (BIM), 4D, databases, ontologies, serious games, virtual reality and augmented reality, for addressing safety issues during the design phase in construction. Findings Analysis of the articles yielded a categorisation of the digital applications for PtD into four main areas: knowledge-based systems; automatic rule checking; hazard visualization; and safety training for designers. The review also highlighted designers’ limited knowledge towards construction safety and the possibility to address this by using gaming environments for educating designers on safety management and using artificial intelligence for predicting hazards and risks during design stage in a BIM environment. Additionally, the review proposes other directions for future research to enhance the use of digital technologies for PtD. Originality/value This paper contextualises current digital technology applications for construction health and safety and enables future directions of research in the field to be identified and mapped out.
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