A Built Heritage Information System Based on Point Cloud Data: HIS-PC

Poux, Florent; Billen, Roland; Kasprzyk, Jean-Paul; Lefebvre, Pierre-Henri; Hallot, Pierre

doi:10.3390/ijgi9100588

Cited by 16 publications

(11 citation statements)

References 61 publications

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“…In particular, developing online heritage information platforms and digital archives has become a research hotspot, allowing experts (archaeology, archives, structural engineers, and restoration personnel) to share data [22]. Poux [23] recommended a point-cloud-based platform that employs point cloud segmentation as an interface model for linking data to avoid problems such as time-consuming geometric modeling and BIM data redundancy. Luis Javier Sanchez-Aparicio [24] proposed a panoramic platform based on Web-GIS, linking sensor data such as temperature and humidity monitoring.…”

Section: Digital Heritagementioning

confidence: 99%

Digital Twin for Xiegong’s Architectural Archaeological Research: A Case Study of Xuanluo Hall, Sichuan, China

et al. 2022

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Xiegong is a unique element of Chinese historic buildings that could date the heritage dynasty. It is more complicated than the Dougong and represents a high level of artistic and structural achievement. Archaeological research on Xiegong is urgent due to the fast rate of erosion rate and the official record of only Dougong without Xiegong. With 3D survey technology, researchers can use 3D digital replicas to record and survey heritage buildings. However, the methodology of applying digital reproductions to facilitate archaeological research is unclear. A comprehensive approach to merging the digital twin into the chronology of forms was proposed based on a literature review of archaeological theory. This multi-methodological approach, including laser scanning, oblique photogrammetry, and BIM, was adopted to develop Xiegong’s architectural archaeology dating research. Using Xuanluo Hall, Sichuan, China, as an example, the site study verified the approach to ensure consistency between 2D and 3D expressions with geometry and semantics. The results indicate that, on the one hand, the digital twin process can help archaeologists recognize historical information. On the other hand, the results of their discrimination can be effectively recorded and easily queried, avoiding the shortcomings of traditional methods of information loss and dispersion.

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Section: Digital Heritagementioning

confidence: 99%

Digital Twin for Xiegong’s Architectural Archaeological Research: A Case Study of Xuanluo Hall, Sichuan, China

et al. 2022

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“…However, the conclusions still draw the disadvantages of ADE modeling and the complexity raised by relational database management. Working on the storage tier, a composition of SQL/NoSQL allows enjoying the advantages of both solutions (Holemans, Kasprzyk, & Donnay, 2018; Poux, Billen, Kasprzyk, Lefebvre, & Hallot, 2020). While the relational database is still mandatory for its data‐processing capabilities, the document orientation is useful thanks to its storage flexibility.…”

Section: Related Workmentioning

confidence: 99%

“…However, the conclusions still draw the disadvantages of ADE modelling and the complexity raised by relational database management. Working on the storage tier, a composition of SQL/NoSQL allows enjoying advantages of both solution (Holemans, Kasprzyk, and Donnay 2018;Poux et al 2020).…”

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confidence: 99%

From consistency to flexibility: A simplified database schema for the management of CityJSON 3D city models

Nys

Billen

2021

Transactions in GIS

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The use of 3D city models is now common practice; many large cities have their own digital model. Resilient and sustainable management of these models is necessary in many cases, where an application could evolve over its life cycle. The complexity of generic modelling standardization is often a limitation for a light and user-friendly usage and further developments. This paper aims to propose an alternative providing a simplified database schema implemented in a document-oriented storage. Thanks to the use of the NoSQL store, the focus is on flexibility of the data schemas and thus its clarification. In order to aim attention at the compactness in web development, CityJSON has been chosen for the encoding of the 3D city models. Finally, a full-stack application (persistent storage, consistent edition and visualization of 3D city models) has been developed to handle the simplified schema and illustrates its capabilities in two practical use cases.

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“…Different objects in the point cloud need to be identified, which can be solved using various statistical or machine learning techniques. Data-driven techniques are heavily used for modelling archaeological sites [ 25 ]. Further, they are used in architecture for building modelling, however, they have rather simple applications like the extraction of windows and doors in façades [ 26 , 27 ] or the creation of floor plans [ 28 ].…”

Section: Data Modellingmentioning

confidence: 99%

From a Point Cloud to a Simulation Model—Bayesian Segmentation and Entropy Based Uncertainty Estimation for 3D Modelling

Petschnigg

Spitzner

Weitzendorf

et al. 2021

Entropy

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The 3D modelling of indoor environments and the generation of process simulations play an important role in factory and assembly planning. In brownfield planning cases, existing data are often outdated and incomplete especially for older plants, which were mostly planned in 2D. Thus, current environment models cannot be generated directly on the basis of existing data and a holistic approach on how to build such a factory model in a highly automated fashion is mostly non-existent. Major steps in generating an environment model of a production plant include data collection, data pre-processing and object identification as well as pose estimation. In this work, we elaborate on a methodical modelling approach, which starts with the digitalization of large-scale indoor environments and ends with the generation of a static environment or simulation model. The object identification step is realized using a Bayesian neural network capable of point cloud segmentation. We elaborate on the impact of the uncertainty information estimated by a Bayesian segmentation framework on the accuracy of the generated environment model. The steps of data collection and point cloud segmentation as well as the resulting model accuracy are evaluated on a real-world data set collected at the assembly line of a large-scale automotive production plant. The Bayesian segmentation network clearly surpasses the performance of the frequentist baseline and allows us to considerably increase the accuracy of the model placement in a simulation scene.

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A Built Heritage Information System Based on Point Cloud Data: HIS-PC

Cited by 16 publications

References 61 publications

Digital Twin for Xiegong’s Architectural Archaeological Research: A Case Study of Xuanluo Hall, Sichuan, China

Digital Twin for Xiegong’s Architectural Archaeological Research: A Case Study of Xuanluo Hall, Sichuan, China

From consistency to flexibility: A simplified database schema for the management of CityJSON 3D city models

From a Point Cloud to a Simulation Model—Bayesian Segmentation and Entropy Based Uncertainty Estimation for 3D Modelling

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