Tracking MEP installation works

Previous research has shown that "Scan-vs-BIM" systems are powerful to provide valuable information for tracking structural works (progress, quality, safety). However, the transferability of this capability to other construction areas such as MEP works has not been assessed so far. Comparatively, the construction of MEP systems, in particular pipes and ducts, tends to be more flexible with respect to the positioning of individual components, so that Scan-vs-BIM systems could be defeated when tracking MEP installation works. This paper presents recent results on the feasibility and performance of using a Scan-vs-BIM system to track MEP works. The approach followed is presented and then tested with two real-life challenging case studies were conducted simultaneously but totally independently in Canada and Italy. The results show that, as expected, pipes and ducts tend to be more loosely positioned than structural elements leading to a poorer performance of the Scan-vs-BIM system. Nonetheless, it appears that the system works well to assess the level of conformance of site installation works, providing valuable information for estimating emerging performance metrics like "percent built as-designed". In addition, the proposed system could also be useful to accelerate and thus reduce the cost of delivering as-built BIM models for in the case of new builds

AUTOMATED 3D DATA COLLECTION (A3DDC) FOR 3D BUILDING INFORMATION MODELING

ABSTRACT The Architectural/Engineering/Construction (AEC) industry is slowly shifting toward performance-driven project and project delivery. Assuring good performance requires efficient performance control processes. Among the different construction performance control processes, many critical ones, including progress tracking, productivity tracking and dimensional quality control, rely on efficient three-dimensional (3D) information flows. However, the AEC industry currently lacks reliable and efficient means of monitoring 3D information at the object level, which is critical to these processes. The authors have developed an innovative approach for automated 3D data collection (A3dDC) by automatically recognizing 3D Computer-Aided Design (CAD) model objects in 3D laser scans. This paper rapidly presents this approach and then details how it enables (1) automated life-cycle project 3D data collection for integration within Building Information Models, and consequently (2) the monitoring processes above to perform better. It is also shown how this approach enables planning for 3D scanning and ultimately strategic scanning. KEYWORDS Project Control Processes, Monitoring, Three-dimensional, Automated Data Collection (ADC), Building Information Model (BIM). BACKGROUND The Architectural/Engineering/Construction (AEC) industry is slowly shifting toward performancedriven projects and project delivery. Projects must perform better from the owner and users' view points by, for instance, consuming less energy, providing good lighting conditions to the users, enabling safe and rapid evacuation in case of emergency. And, the delivery of the project must perform better from the owner and contractor's view points (e.g. construction safety, time, quality, cost)

Mechanical Translation

Contains reports on twelve research projects.National Science Foundatio

Virtual Reality and 3D Imaging to Support Collaborative Decision Making for Adaptation of Long-Life Assets

European companies of today are involved in many stages of the product life cycle. There is a trend towards the view of their business as a complex industrial product-service system (IPSS). This trend shifts the business focus from a traditional product oriented one to a function oriented one. With the function in focus, the seller shares the responsibility of for example maintenance of the product with the buyer. As such IPSS has been praised for supporting sustainable practices. This shift in focus also promotes longevity of products and promotes life extending work on the products such as adaptation and upgrades. Staying competitive requires continuous improvement of manufacturing and services to make them more flexible and adaptive to external changes. The adaptation itself needs to be performed efficiently without disrupting ongoing operations and needs to result in an acceptable after state. Virtual planning models are a key technology to enable planning and design of the future operations in parallel with ongoing operations. This chapter presents an approach to combine digitalization and virtual reality (VR) technologies to create the next generation of virtual planning environments. Through incorporating digitalization techniques such as 3D imaging, the models will reach a new level of fidelity and realism which in turn makes them accessible to a broader group of users and stakeholders. Increased accessibility facilitates a collaborative decision making process that invites and includes cross functional teams. Through such involvement, a broader range of experts, their skills, operational and tacit knowledge can be leveraged towards better planning of the upgrade process. This promises to shorte