First Step Towards the Technical Quality Concept for Integrative Computational Design and Construction

Balangé, Laura; Zhang, Li; Schwieger, Volker

doi:10.1007/978-3-030-51953-7_10

Cited by 6 publications

(4 citation statements)

References 7 publications

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“…The maximum segmentation time of all methods is the value ∆t max . The ATR is calculated from Equation (1), where i stands for the respective segmentation. ∆t i is therefore the time needed for the segmentation i.…”

Section: Quality Parametersmentioning

confidence: 99%

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Evaluating the Quality of Semantic Segmented 3D Point Clouds

Barnefske

Sternberg

2022

Remote Sensing

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Recently, 3D point clouds have become a quasi-standard for digitization. Point cloud processing remains a challenge due to the complex and unstructured nature of point clouds. Currently, most automatic point cloud segmentation methods are data-based and gain knowledge from manually segmented ground truth (GT) point clouds. The creation of GT point clouds by capturing data with an optical sensor and then performing a manual or semi-automatic segmentation is a less studied research field. Usually, GT point clouds are semantically segmented only once and considered to be free of semantic errors. In this work, it is shown that this assumption has no overall validity if the reality is to be represented by a semantic point cloud. Our quality model has been developed to describe and evaluate semantic GT point clouds and their manual creation processes. It is applied on our dataset and publicly available point cloud datasets. Furthermore, we believe that this quality model contributes to the objective evaluation and comparability of data-based segmentation algorithms.

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Section: Quality Parametersmentioning

confidence: 99%

“…A major research topic in geodesy is to digitize activities in construction [1][2][3], in building maintenance [4,5] and in navigation [6,7]. For the digitization of these tasks, digital building parts and furnishing objects must be formed and processed.…”

Section: Introductionmentioning

confidence: 99%

Evaluating the Quality of Semantic Segmented 3D Point Clouds

Barnefske

Sternberg

2022

Remote Sensing

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“…Technical quality plays an important role in the construction process and includes quality characteristics from different disciplines. These characteristics include timeliness, correctness, and load-bearing capacity [44]. Geometric quality, which is ensured by compliance with tolerances for all forming elements (e.g., [45]) and compliance with building physics limits are of central importance (e.g., [46]).…”

Section: Technical Quality and Requirementsmentioning

confidence: 99%

Holistic Quality Model and Assessment—Supporting Decision-Making towards Sustainable Construction Using the Design and Production of Graded Concrete Components as an Example

et al. 2022

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This paper describes a holistic quality model (HQM) and assessment to support decision-making processes in construction. A graded concrete slab serves as an example to illustrate how to consider technical, environmental, and social quality criteria and their interrelations. The evaluation of the design and production process of the graded concrete component shows that it has advantages compared to a conventional solid slab, especially in terms of environmental performance. At the same time, the holistic quality model identifies potential improvements for the technology of graded concrete. It will be shown that the holistic quality model can be used to (a) consider the whole life cycle in decision-making in the early phases and, thus, make the complexity of construction processes manageable for quality and sustainability assessments and (b) make visible interdependencies between different quality and sustainability criteria, to help designers make better-informed decisions regarding the overall quality. The results show how different quality aspects can be assessed and trade-offs are also possible through the understanding of the relationships among characteristics. For this purpose, in addition to the quality assessment of graded concrete, an overview of the interrelations of different quality characteristics is provided. While this article demonstrates how a HQM can support decision-making in design, the validity of the presented evaluation is limited by the data availability and methodological challenges, specifically regarding the quantification of interrelations.

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“…To assess the performance of the proposed method for multiple sphere detection, a quality evaluation metric for engineering geodesy processes developed by IIGS (cf. [48,49]) is adopted in this contribution. Three characteristics in this quality model to describe the product-oriented quality are used here: completeness (Com), accuracy (Acc), and real-time capability (RtC).…”

Section: Quality Evaluationmentioning

confidence: 99%

Monitoring of the Production Process of Graded Concrete Component Using Terrestrial Laser Scanning

et al. 2021

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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.

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First Step Towards the Technical Quality Concept for Integrative Computational Design and Construction

Cited by 6 publications

References 7 publications

Evaluating the Quality of Semantic Segmented 3D Point Clouds

Evaluating the Quality of Semantic Segmented 3D Point Clouds

Holistic Quality Model and Assessment—Supporting Decision-Making towards Sustainable Construction Using the Design and Production of Graded Concrete Components as an Example

Monitoring of the Production Process of Graded Concrete Component Using Terrestrial Laser Scanning

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