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Non-digital information handover for facilities management (FM) could be quite a challenge when evaluating the quality of information in terms of its usefulness and relevance for building operations. Manually searching for errors in large datasets is inefficient, which leads to difficulties in the course of maintenance and operation tasks. Traditional FM systems, computer-aided FM (CAFM), and computerized maintenance management system (CMMS) are all capable of digitizing information. However, the handover remains in paper format, which requires the mundane and inefficient practice of re-creating information for use in FM systems. Using the emerging open building information modelling (BIM) standards during the operational stage to resolve this problem is currently being considered, and in this context, the extent of how open BIM standards can support facility management systems is being studied. As part of an ongoing effort, a desk-based research is used as the main method of investigation to achieve the aim of this study. Findings suggest that open BIM standards, such as COBie and IFC, should be utilized to streamline information and be integrated with FM systems.

The integration of building information modelling (BIM) and geographic information system (GIS) has been studied for a long period of time by researchers from both domains. The foundation of the integration is the interoperability of the data, which means the BIM data has to have a right reference system, allowing it to be read correctly by GIS software applications. 3D models from the BIM world may not be correctly georeferenced, which impairs the data interoperability. Instead of rebuilding models from scratch, which is time- and labour-consuming, this paper proposes a more efficient, economical, two-step alternative mainly based on Affine transformation. In the first step, the modification is made against the x- and y-coordinates. A number of control points would be selected to form displacement links. Based on these, the transformation parameters would be calculated, and the 2D footprint of the model would be rectified by Affine transformation. Then, the z-value (height information) of each vertex in the model would be adjusted using the scaling factor f. This method could obtain a 3D model without a geographical coordinate system correctly geo-referenced, and thus, it could be further read by GIS applications, consuming the vast spatial analysis tools supported by the GIS world, achieving more than just visualization. The key to the success of this study is creating an accurate right footprint of the model and selecting appropriate control points to guarantee the accuracy of transformation. By far, this approach has only been tested with a bridge model, its performance on other building models needs to be further studied.

Building information modelling (BIM) is radically changing the face of construction project management. BIM adoption is significant in alleviating the attendant problems of poor detailing, communication and coordination because of its inherent integrative technology. Several BIM training initiatives have occurred within the construction industry in New Zealand, but the knowledge base on the success of these training initiatives is at its infancy. Furthermore, there is a dearth of research on how acquired knowledge and skills in BIM implementation have been transferred to other end users post training. This chapter seeks to understand BIM knowledge transfer mechanisms among AEC members. The chapter proposes a model of the enablers of BIM knowledge transfer and effective utilization of skills and knowledge in a BIM environment, and presents the psychometric analysis of the research instrument in this exploratory phase of the study.

As the subsystem of a Smart City (SC), Smart Industrial Parks (SIP) not only improve industry-clustering ability and enhance economic strength but also facilitate social sustainable development. Although SIP construction has gained popularity globally, there are still various problems and flaws in their development and implementation. This chapter presents a case study of the Shanghai Qiantan SIP and proposes a framework and implementation plan for an operation and maintenance (O&M) management system based on building information modelling (BIM). This comprises six layers (i.e. portal layer, application layer, platform layer, data layer, model layer and facility layer) to attain SIP requirements and functions. The steps in O&M system development comprise demand research, plan implementation and BIM model building. The case study helps to develop a strategic view of SIP technology, particularly on how to expand the case database for the reference of future research.

In this paper, the influence factors in the construction process, the classification and analysis on construction time limit of engineering project for a single factor random prediction model, the BIM modeling technology in engineering practice, and the construction time limit for a project based on BIM model prediction were studied using the method of stochastic analysis, reliability engineering theory. The application results show that the stochastic model integration with BIM visualization technology have special effects for predicting the construction time limit to a project, and guiding for the construction process.