Geometry simplification according to semantic constraints

Ladenhauf, Daniel; Berndt, René; Krispel, Ulrich; Eggeling, Eva; Ullrich, Torsten; Battisti, Kurt; Gratzl‐Michlmair, Markus

doi:10.1007/s00450-014-0283-7

Cited by 13 publications

(6 citation statements)

References 6 publications

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“…BIM-originated geometry must, therefore, be simplified and reduced to be used for BEM, also contributing to shorter computational times in simulating complex models (Lagüela et al, 2014;Choi et al, 2016). The preparation or simplification can be performed automatically to some extent but also needs manual efforts (Ladenhauf et al, 2016;Pinheiro et al, 2018). Furthermore, insufficient construction or material information in BIM objects, not defined by the original BIM authoring side, poses another barrier for BIM-based BEM (Kim et al, 2016).…”

Section: Challenges In Bim-based Building Energy Modelingmentioning

confidence: 99%

A holistic digital twin simulation framework for industrial facilities: BIM-based data acquisition for building energy modeling

Gourlis

Kovačić

2022

Front. Built Environ.

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Energy and resource efficiency as well as reduction of emissions are nowadays significant objectives for production companies. Industry 4.0, through extensive digitalization along the value chain, enables the achievement of these objectives not only in the construction of new facilities but also in existing facilities as well. This requires an interdisciplinary approach, extending over production and logistic processes as well as the building, technical building services, and energy supply systems, consolidated through integrated modeling and simulation-based optimization. The research question this study addresses is how to digitally couple these subsystems and optimize the overall system’s performance in terms of energy and resource efficiency, by distancing from silo-field thinking while using an integrated analysis approach. The article briefly presents a holistic modeling and simulation framework, utilizing modular digital twins (DTs) of all elements that may constitute a given industrial unit. The integration of multiple DTs of these subsystems in a hybrid (continuous and discrete) simulation forms a holistic DT ecosystem of an existing facility. The particular focus of the study is the building representation in this DT ecosystem for energy-efficient production. Based on a methodology including hybrid simulation, building information modeling (BIM), and visual programming, a semi-automated data acquisition workflow was proposed. The hybrid simulation is based on Discrete Event System Specification (DEVS) formalism, where the building is incorporated as a building energy model (BEM). Within the abstracted representation of the overall system, the article explores the possibilities of parametrizing the DT of the building, interconnected with the rest of the factory elements, by acquiring information directly from existing BIM models. Through a comparative case study, the proposed workflow is compared to a manual one in terms of integrity and benefits. The study’s contribution lies in: 1) the detection of the required building level of abstraction for a holistic DT ecosystem, 2) the definition of the interconnections between the building-related counterparts and the rest of the virtual environment as well as the data required for their parameterization, and 3) proposing a semi-automated workflow via virtual programming, for BIM-based creation of the building model within a holistic DT ecosystem.

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Section: Challenges In Bim-based Building Energy Modelingmentioning

confidence: 99%

A holistic digital twin simulation framework for industrial facilities: BIM-based data acquisition for building energy modeling

Gourlis

Kovačić

2022

Front. Built Environ.

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“…Topology relationships of indoor spaces are the basis for indoor spatial queries, and the establishment of explicit topology relationships can be helpful in constructing adjacencies of indoor spaces and generating indoor paths [44]. One approach that can be attempted to establish topological relationships for indoor spaces is to simplify building components, such as walls, by reducing the thickness to a thin surface [45] and representing two adjacent rooms that share the common surface. The simplified description of a building in the literature [45] can be summarized as follows: In the simplified model, the exterior boundary surface of a building is the outer contour of the building, while the interior boundary surface is located at the center of the interior wall, as shown in Figure 4a.…”

Section: Background and Related Workmentioning

confidence: 99%

“…One approach that can be attempted to establish topological relationships for indoor spaces is to simplify building components, such as walls, by reducing the thickness to a thin surface [45] and representing two adjacent rooms that share the common surface. The simplified description of a building in the literature [45] can be summarized as follows: In the simplified model, the exterior boundary surface of a building is the outer contour of the building, while the interior boundary surface is located at the center of the interior wall, as shown in Figure 4a. However, this approach cannot be applied to buildings with irregular outer contours.…”

Section: Background and Related Workmentioning

confidence: 99%

A Simplified CityGML-Based 3D Indoor Space Model for Indoor Applications

2020

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With the continuous development of indoor positioning technology, various indoor applications, such as indoor navigation and emergency rescue, have gradually received widespread attention. Indoor navigation and emergency rescue require access to a variety of indoor space information, such as accurate geometric information, rich semantic information and indoor spatial adjacency information; hence, a suitable 3D indoor model is needed. However, the available models, such as BIM and CityGML, mainly represent geometric and semantic information of indoor spaces, and rarely describe the topological adjacency relationship of interior spaces. To address the requirements of indoor navigation and emergency rescue, a simplified 3D indoor model is proposed in this research. The building components and indoor functional spaces of buildings are described in a simplified way. The geometric and semantic information are described based on CityGML, and the topological relationships of indoor adjacent spaces are represented by CityGML XLinks. While describing the indoor level of detail (LOD) of buildings in detail, the model simplifies building components and indoor spaces, which can preserve the characteristics of indoor spaces to the maximum extent and serve as a basis for indoor applications.

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“…This level of detail, for example, is accessory when the model is intended to describe whether two spaces are contiguous or whether there is a connection between them. For this reason, there are works aimed at simplifying the most popular standards [44][45][46][47] in order to obtain simpler models that are compliant with the standard. Of all the mentioned features, one of the most interesting is the multi-layered representation proposed by the IndoorGML standard.…”

Section: State-of-the-art For Space Modelingmentioning

confidence: 99%

A Proposal for Modeling Indoor–Outdoor Spaces through IndoorGML, Open Location Code and OpenStreetMap

Cantarero

Rubio

Chaparro

et al. 2020

IJGI

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Traditionally, the standards of spatial modeling are oriented to represent the quantitative information of space. However, in recent years an increasingly common challenge is appearing: flexibly and appropriately integrating quantitative information that goes beyond the purely geometric. This problem has been aggravated due to the success of new paradigms such as the Internet of Things. This adds an additional challenge to the representation of this information due to the need to represent characteristic information of the space from different points of view in a model, such as WiFi coverage, dangerous surroundings, etc. While this problem has already been addressed in indoor spaces with the IndoorGML standard, it remains to be solved in outdoor and indoor–outdoor spaces. We propose to take the advantages proposed in IndoorGML, such as cellular space or multi-layered space model representation, to outdoor spaces in order to create indoor–outdoor models that enable the integration of heterogeneous information that represents different aspects of space. We also propose an approach that gives more flexibility in spatial representation through the integration of standards such as OpenLocationCode for the division of space. Further, we suggest a procedure to enrich the resulting model through the information available in OpenStreetMap.

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Geometry simplification according to semantic constraints

Cited by 13 publications

References 6 publications

A holistic digital twin simulation framework for industrial facilities: BIM-based data acquisition for building energy modeling

A holistic digital twin simulation framework for industrial facilities: BIM-based data acquisition for building energy modeling

A Simplified CityGML-Based 3D Indoor Space Model for Indoor Applications

A Proposal for Modeling Indoor–Outdoor Spaces through IndoorGML, Open Location Code and OpenStreetMap

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