Applied Laser Scanning for the Construction Classroom: Instructional Design and Best Practices
Laser scanning is a powerful tool that is being deployed throughout the construction industry. In order to enjoy its benefits, users must first be instructed in the proper use of the hardware and software necessary to capture and employ the scan data. The purpose of this paper is to present a pedagogical approach to delivering a laser scanning learning module and assessing student performance. The methods are designed for undergraduate construction management programs. The paper concludes with findings and best practices based on student feedback and instructor reflection.
Standards-based Data Interoperability of Building Information Model in the Cloud
During model-based collaborations in the Architecture, Engineering, and Construction (AEC) industry, files are largely used for exchanging Building Information Model (BIM). But using the web as the enabler of cloud computing has provided the opportunities for a network-based data exchange, as opposed to a file-based data transfer. Current Cloud-BIM interoperability solutions do not provide a loosely coupled network-based system with the flexibility to reduce dependencies among collaborating Cloud-BIM applications. Thus, the need for a new interoperability framework is identified in the prior study and major components of cloud interoperability are specified to improve model-based collaboration during the design and construction of buildings. This paper outlines the components of the new Cloud-BIM interoperability framework known as BIM Synapse that supports a network-based BIM data exchange for loosely coupled collaboration in the cloud. In addition, implementation of major layers of BIM Synapse are specified and the dataflow in this framework is explained. BIM Synapse enables a cloud-based collaborative process, allowing Cloud-BIM services to communicate through their standardized Application Programming Interfaces (APIs). Since BIM Synapse uses established standards, it provides a common understanding of BIM data. Also, implementation of BIM Synapse in Cloud-BIM can enable the integration of Internet of Things (IoT) with BIM models.
Applications of Collaborative Industrial Robots in Building Construction
The use of automation and robotics has demonstrated numerous advantages in many industries, including manufacturing. Similarly, it is expected that robotic technology plays a key role in achieving a successful construction project. Industrial robots have been used widely in production in a variety of applications in the automotive or manufacturing industry. Industrial robots are large and powerful robots, but because of safety concerns for humans who work around the machines, these robots are supposed to be put into a cage during their operations to address safety concerns. On the other hand, the emergence of the collaborative robots has enabled a human worker to work with the machine closely while the human worker is allowed to directly share a common workspace with the robot. Collaborative industrial robots are harmless to the human worker, affordable, and easy to use and program. More importantly, studies on human-robot collaboration have indicated that better productivity at a workplace can be achieved through the collaboration of a human worker with a safe and flexible robot. However, the use of collaborative industrial robots in building construction has not been explored yet. This paper studies the features of collaborative industrial robots and investigates their applications in the construction process.