Accepting the ecological necessity of a drastic reduction of resource consumption and greenhouse gas emissions in the building industry, the Institute for Lightweight Structures and Conceptual Design (ILEK) at the University of Stuttgart is developing graded concrete components with integrated concrete hollow spheres. These components weigh a fraction of usual conventional components while exhibiting the same performance. Throughout the production process of a component, the positions of the hollow spheres and the level of the fresh concrete have to be monitored with high accuracy and in close to real-time, so that the quality and structural performance of the component can be guaranteed. In this contribution, effective solutions of multiple sphere detection and concrete surface modeling based on the technology of terrestrial laser scanning (TLS) during the casting process are proposed and realized by the Institute of Engineering Geodesy (IIGS). A complete monitoring concept is presented to acquire the point cloud data fast and with high-quality. The data processing method for multiple sphere segmentation based on the efficient combination of region growing and random sample consensus (RANSAC) exhibits great performance on computational efficiency and robustness. The feasibility and reliability of the proposed methods are verified and evaluated by an experiment monitoring the production of an exemplary graded concrete component. Some suggestions to improve the monitoring performance and relevant future work are given as well.
%0 Journal Article
%1 yang2021monitoring
%A Yang, Yihui
%A Balangé, Laura
%A Gericke, Oliver
%A Schmeer, Daniel
%A Zhang, Li
%A Sobek, Werner
%A Schwieger, Volker
%D 2021
%J Remote Sensing
%K 2021 TLS iigs intcdc peer rp1 rp18 rp2
%N 9
%R 10.3390/rs13091622
%T Monitoring of the Production Process of Graded Concrete Component Using Terrestrial Laser Scanning
%U https://www.mdpi.com/2072-4292/13/9/1622
%V 13
%X Accepting the ecological necessity of a drastic reduction of resource consumption and greenhouse gas emissions in the building industry, the Institute for Lightweight Structures and Conceptual Design (ILEK) at the University of Stuttgart is developing graded concrete components with integrated concrete hollow spheres. These components weigh a fraction of usual conventional components while exhibiting the same performance. Throughout the production process of a component, the positions of the hollow spheres and the level of the fresh concrete have to be monitored with high accuracy and in close to real-time, so that the quality and structural performance of the component can be guaranteed. In this contribution, effective solutions of multiple sphere detection and concrete surface modeling based on the technology of terrestrial laser scanning (TLS) during the casting process are proposed and realized by the Institute of Engineering Geodesy (IIGS). A complete monitoring concept is presented to acquire the point cloud data fast and with high-quality. The data processing method for multiple sphere segmentation based on the efficient combination of region growing and random sample consensus (RANSAC) exhibits great performance on computational efficiency and robustness. The feasibility and reliability of the proposed methods are verified and evaluated by an experiment monitoring the production of an exemplary graded concrete component. Some suggestions to improve the monitoring performance and relevant future work are given as well.
@article{yang2021monitoring,
abstract = {Accepting the ecological necessity of a drastic reduction of resource consumption and greenhouse gas emissions in the building industry, the Institute for Lightweight Structures and Conceptual Design (ILEK) at the University of Stuttgart is developing graded concrete components with integrated concrete hollow spheres. These components weigh a fraction of usual conventional components while exhibiting the same performance. Throughout the production process of a component, the positions of the hollow spheres and the level of the fresh concrete have to be monitored with high accuracy and in close to real-time, so that the quality and structural performance of the component can be guaranteed. In this contribution, effective solutions of multiple sphere detection and concrete surface modeling based on the technology of terrestrial laser scanning (TLS) during the casting process are proposed and realized by the Institute of Engineering Geodesy (IIGS). A complete monitoring concept is presented to acquire the point cloud data fast and with high-quality. The data processing method for multiple sphere segmentation based on the efficient combination of region growing and random sample consensus (RANSAC) exhibits great performance on computational efficiency and robustness. The feasibility and reliability of the proposed methods are verified and evaluated by an experiment monitoring the production of an exemplary graded concrete component. Some suggestions to improve the monitoring performance and relevant future work are given as well.},
added-at = {2021-04-29T09:47:53.000+0200},
article-number = {1622},
author = {Yang, Yihui and Balangé, Laura and Gericke, Oliver and Schmeer, Daniel and Zhang, Li and Sobek, Werner and Schwieger, Volker},
biburl = {https://puma.ub.uni-stuttgart.de/bibtex/28d4421983a51bb1909f53ac8b0603def/larsplate},
doi = {10.3390/rs13091622},
interhash = {26360ccc37492b678e542233be9dfc12},
intrahash = {8d4421983a51bb1909f53ac8b0603def},
issn = {2072-4292},
journal = {Remote Sensing},
keywords = {2021 TLS iigs intcdc peer rp1 rp18 rp2},
number = 9,
timestamp = {2022-05-18T12:21:45.000+0200},
title = {Monitoring of the Production Process of Graded Concrete Component Using Terrestrial Laser Scanning},
url = {https://www.mdpi.com/2072-4292/13/9/1622},
volume = 13,
year = 2021
}
