scholarly journals Digitalization of culturally significant buildings: ensuring high-quality data exchanges in the heritage domain using OpenBIM

2022 ◽  
Vol 10 (1) ◽  
Author(s):  
Laurens Jozef Nicolaas Oostwegel ◽  
Štefan Jaud ◽  
Sergej Muhič ◽  
Katja Malovrh Rebec
Keyword(s):  
Data Exchange ◽  
Open Data ◽  
Quality Data ◽  
Semantic Data ◽  
Information Models ◽  
Building Information ◽  
Heritage Building ◽  
Conservation Plan ◽  
The Creation ◽  
Information Delivery Manual

AbstractCultural heritage building information models (HBIMs) incorporate specific geometric and semantic data that are mandatory for supporting the workflows and decision making during a heritage study. The Industry Foundation Classes (IFC) open data exchange standard can be used to migrate these data between different software solutions as an openBIM approach, and has the potential to mitigate data loss. Specific data-exchange scenarios can be supported by firstly developing an Information Delivery Manual (IDM) and subsequently filtering portions of the IFC schema and producing a specialized Model View Definition (MVD). This paper showcases the creation of a specialized IDM for the heritage domain in consultation with experts in the restoration and preservation of built heritage. The IDM was then translated into a pilot MVD for heritage. We tested our developments on an HBIM case study, where a historic building was semantically enriched with information about the case study’s conservation plan and then checked against the specified IDM requirements using the developed MVD. We concluded that the creation of an IDM and then the MVD for the heritage domain are achievable and will bring us one step closer to BIM standardisation in the field of digitised cultural buildings.

scholarly journals INVESTIGATING INTEROPERABILITY CAPABILITIES BETWEEN IFC AND CITYGML LOD 4 – RETAINING SEMANTIC INFORMATION

2018 ◽  
Vol XLII-4/W10 ◽  
pp. 33-40 ◽  
Author(s):  
G. S. Floros ◽  
C. Ellul ◽  
E. Dimopoulou
Keyword(s):  
Semantic Information ◽  
Open Data ◽  
3D Models ◽  
Solar Panels ◽  
3D City Models ◽  
Information Models ◽  
Building Information ◽  
Consistent Manner ◽  
3D Information ◽  
City Models

<p><strong>Abstract.</strong> Applications of 3D City Models range from assessing the potential output of solar panels across a city to determining the best location for 5G mobile phone masts. While in the past these models were not readily available, the rapid increase of available data from sources such as Open Data (e.g. OpenStreetMap), National Mapping and Cadastral Agencies and increasingly Building Information Models facilitates the implementation of increasingly detailed 3D Models. However, these sources also generate integration challenges relating to heterogeneity, storage and efficient management and visualization. CityGML and IFC (Industry Foundation Classes) are two standards that serve different application domains (GIS and BIM) and are commonly used to store and share 3D information. The ability to convert data from IFC to CityGML in a consistent manner could generate 3D City Models able to represent an entire city, but that also include detailed geometric and semantic information regarding its elements. However, CityGML and IFC present major differences in their schemas, rendering interoperability a challenging task, particularly when details of a building’s internal structure are considered (Level of Detail 4 in CityGML). The aim of this paper is to investigate interoperability options between the aforementioned standards, by converting IFC models to CityGML LoD 4 Models. The CityGML Models are then semantically enriched and the proposed methodology is assessed in terms of model’s geometric validity and capability to preserve semantics.</p>

scholarly journals An openBIM Approach to IoT Integration with Incomplete As-Built Data

2020 ◽  
Vol 10 (22) ◽  
pp. 8287
Author(s):  
Nicola Moretti ◽  
Xiang Xie ◽  
Jorge Merino ◽  
Justas Brazauskas ◽  
Ajith Kumar Parlikad
Keyword(s):  
Asset Management ◽  
Time Data ◽  
Industry Foundation Classes ◽  
Semantic Data ◽  
Information Models ◽  
Digital Twins ◽  
Building Information ◽  
Good Potential ◽  
Building Life Cycle ◽  
Asset Data

Digital Twins (DT) are powerful tools to support asset managers in the operation and maintenance of cognitive buildings. Building Information Models (BIM) are critical for Asset Management (AM), especially when used in conjunction with Internet of Things (IoT) and other asset data collected throughout a building’s lifecycle. However, information contained within BIM models is usually outdated, inaccurate, and incomplete as a result of unclear geometric and semantic data modelling procedures during the building life cycle. The aim of this paper is to develop an openBIM methodology to support dynamic AM applications with limited as-built information availability. The workflow is based on the use of the IfcSharedFacilitiesElements schema for processing the geometric and semantic information of both existing and newly created Industry Foundation Classes (IFC) objects, supporting real-time data integration. The methodology is validated using the West Cambridge DT Research Facility data, demonstrating good potential in supporting an asset anomaly detection application. The proposed workflow increases the automation of the digital AM processes, thanks to the adoption of BIM-IoT integration tools and methods within the context of the development of a building DT.

scholarly journals Implementation of Open Data Exchange between Architectural Design and Structural Analysis Models

Buildings ◽  
2021 ◽  
Vol 11 (12) ◽  
pp. 605
Author(s):  
Goran Sibenik ◽  
Iva Kovacic ◽  
Valentinas Petrinas ◽  
Wendelin Sprenger
Keyword(s):  
Structural Analysis ◽  
Architectural Design ◽  
Data Exchange ◽  
Open Data ◽  
Analytical Models ◽  
Design Stage ◽  
Model Based ◽  
Building Models ◽  
Building Information ◽  
Analysis Models

Building information modelling promises model-based collaboration between stakeholders in the project design stage. However, data exchange between physical and analytical building models used for architectural design and structural analysis respectively rarely takes place due to numerous differences in building element representation, especially the representation of geometry. This paper presents the realization of a novel data exchange framework between architectural design and structural analysis building models, based on open interpretations on central storage. The exchange is achieved with a new system architecture, where the program redDim was developed to perform the interpretations, including the most challenging transformations of geometry. We deliver a proof of concept for the novel framework with a prototype building model and verify it on two further building models. Results show that structural-analysis models can be correctly automatically created by reducing dimensionality and reconnecting building elements. The proposed data exchange provides a base for missing standardization of interpretations, which facilitates the non-proprietary automated conversion between physical and analytical models. This research fills the gap in the existing model-based communication that could lead to a seamless data exchange.

scholarly journals Requisitos de informação e mapas do processo de projeto de estruturas em concreto armado: um estudo de caso utilizando a metodologia IDM

2014 ◽  
Vol 5 (1) ◽  
pp. 18 ◽  
Author(s):  
Cristiano Eduardo Antunes ◽  
Sérgio Scheer
Keyword(s):  
Reinforced Concrete ◽  
Design Process ◽  
Data Exchange ◽  
Participant Observation ◽  
Concrete Structures ◽  
Information Modeling ◽  
Reinforced Concrete Structures ◽  
Information Requirements ◽  
Building Information ◽  
Information Delivery Manual

The construction industry is facing the Building Information Modeling (BIM) paradigm and all its potential. In order to this paradigm becomes largely adopted and fully utilized, the interoperability issue must be properly addressed. While the IFC schema covers the data model necessary for data exchange, the processes occurring daily in the industry need to be better known. In this sense, this paper reports a research that explored the design process of reinforced concrete structures using BIM based systems. To reach this goal, a case study was developed in a structural design company, where the researcher collected data by participant observation, interviews and documental analysis. After the data collection and the analysis of the internal design routines and external communications during the design process, process maps were elaborated containing all the activities developed during the contracted projects. Furthermore, it was appropriately registered the information requirements for each one of the activities using the IDM (Information Delivery Manual) standards. It was possible to characterize the design process of reinforced concrete structures in the studied company when using BIM based systems, as well as to identify the stakeholder information requirements. After the processes and information flows analysis it was also possible to propose a new optimized workflow. This workflow aimed to reduce the number of analogic activities during the studied design process, as well as helped to propose new information exchanges following the IDM methodology.

scholarly journals AUTOMATING THE VERIFICATION OF HERITAGE BUILDING INFORMATION MODELS CREATED FROM POINT CLOUD DATA

2019 ◽  
Vol XLII-2/W9 ◽  
pp. 455-460 ◽  
Author(s):  
H. Macher ◽  
L. Chow ◽  
S. Fai
Keyword(s):  
Point Cloud ◽  
Large Scale ◽  
Cloud Data ◽  
Remote Sensors ◽  
Information Models ◽  
Building Information ◽  
Heritage Buildings ◽  
Heritage Building ◽  
Verification Process ◽  
Metric Information

<p><strong>Abstract.</strong> The use of remote sensors to acquire metric information for building information modelling (BIM) of heritage buildings is now common. Problematically, the creation of models from that information is still largely a manual and non-quantifiable process. As a result, a key aspect of the scan-to-BIM process is verification of the accuracy of the model in relation to the metric information. The most common method to check a model element constructed from a point cloud seems to be the analysis of deviations between this element and the corresponding point cloud (Anil et al., 2013; Tang et al., 2011). It is comprised of three main steps: the computation, the visualisation and the analysis of deviations. The verification process is particularly onerous for large-scale buildings where it is necessary to ensure that all elements of a model are consistent with metric data that may come from diverse sources (Chow and Fai, 2017). In this paper, we discuss the development of a plug-in for Autodesk Revit that automates this verification process.</p>

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