Content
• Introduction to data gathering in construction
• Imaging technologies (laser scanning, photogrammetry, depth cameras)
• Point clouds and their formats
• Challenges with point cloud data
• Comparison of BIM models with point clouds
• Types of sensors used in construction
• Data streams from sensors
• Data models for sensor systems and sensor data
• Visualization of sensor data on a BIM model
• Event and status data from supply chains
Learning objectives
The student can identify and explain different methods and tools to gather data over construction lifecycle and the resulting data representations, consisting of imaging data (point clouds from laser scanning, photogrammetry or depth cameras), sensor data (streams of observations e.g., from condition sensors of building automation systems, or positioning sensors of IoT systems) and event based progress data. The student can utilise common tools for data gathering and can programmatically process the collected data. The student can associate the gathered data with the design models of the built environment, and analyse and visualise it.
Prerequisites
Programming skills in Python and Javascript sufficient to
• implement simple algorithms
• utilise libraries such as IfcOpenShell or That Open Engine
• access the APIs of systems providing data about built environment
Learning material and recommended literature
Provided during the course
