Digitalization of the state of a constructive process (Demo1)
The UC2 aims to develop tools that will propose a post-processing workflow/system for 3D capture information. Applying it from the integration of innovative GNSS positioning systems and artificial intelligence algorithms.
The use of laser scanning tools to obtain 3D models from point clouds is increasing fast in the construction and civil engineering sectors. However, the processing of the information obtained is still slow, manual and incomplete despite new developments in the market. This means that the point cloud information is just a mere visual record with little parametric and analysis value.
To answer questions like: How do we move from raw data to smart data, eliminating repetitive tasks with no added value derived from processing tasks such as cleaning, adjustment, asset segmentation, etc.? How can we obtain reference geometries through point clouds that allow the creation of 3D and BIM models?
The drone platform, in UC2 D1, has the mission of capturing data from the affected flight area (areas under construction, civil works assets, motorways and highways, …) This capture will be carried out using mass data capture technologies and positioning systems in space. The post-processing in office of the entire set of data collected, through the use of new artificial intelligence technologies developed within the C4D, must provide the necessary data to carry out the Scan to BIM step, prior to the generation of a georeferenced model of assets construction and civil works.
Analysis of underground constructions status (Demo2)
The UC2-D2 aims to develop tools that will propose a workflow/post-processing system for 3D capture information. Autonomous navigation of the drone is guaranteed and previously established under conditions of execution in a tunnel built by conventional methods (humidity, dust, drafts, obstacles …).
Internally, beacons and/or reference systems are positioned that allow Lidar scanning to be georeferenced and subsequently carry out the measurement, construction design calculations, and execution methods studies.
Everything developed in this field of autonomous navigation and the georeferencing of the data set captured will allow in future work to carry out automatic recognition of work carried out or studies of conditions (humidity, landslides, …) in tunnels in operation.
The main mission of the drone platform at UC2 D2 is to capture a georeferenced scanner of the progress in the construction of a tunnel developed by conventional means (explosives, gravel, hammers …). This capture is carried out using drones inside the tunnel, capturing the data set using LiDAR technologies and using positioning/navigation systems developed in the C4D project for autonomous navigation inside the tunnel. In the post-processing in the office, the entire set of collected data will be positioned in the space using software with automatic beacon/sphere recognition systems to subsequently carry out the Scan to BIM step prior to the generation of a georeferenced advance model of a tunnel under construction.
