Framing and Evaluating the Best Practices of IFC-Based Automated Rule Checking: A Case Study

Sobhkhiz, Soroush; Zhou, Yucheng; Lin, Jia-Rui; El-Diraby, Tamer E.

doi:10.3390/buildings11100456

Cited by 11 publications

(6 citation statements)

References 39 publications

(59 reference statements)

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“…Since the system is still in the research team's internal usage stage, it has not been extensively utilized, so we do not have enough data to conduct a study on how user-friendly the system is and how long the investment return time is. By collaborating closely with end-users, proactive systems could be developed [36]. Ideally, we would conduct surveys to determine the effectiveness and usability of the current system, and a focus group that uses the system and reports feedback would be required to help evaluate the system.…”

Section: Limitationsmentioning

confidence: 99%

Automated Rule Checking for MEP Systems Based on BIM and KBMS

Xie

Zhou

et al. 2022

Buildings

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Due to the growing complexity of mechanical, electrical, and plumbing (MEP) designs and the rules that govern them, performing rule checks manually has become expensive. However, MEP-based rule checking has not received adequate attention compared to automated rule checking in other domains. Based on Knowledge Management and Building Information Modeling (BIM), an automated rule checking system integrated knowledge base management system (KBMS) for model information expansion, information extraction, system integrity checking, and element spacing checking was developed. MEP rules for automated rule checking were collected, optimized, and stored in the MEP knowledge base. The KBMS facilitates the management of MEP rules in the knowledge base. A Revit plug-in of MEP rule checking system was developed including functions of KBMS, Model Integrity Checking, Elements Space Checking, and Locating the non-compliant element in model view. This study integrated both KBMS and BIM technologies to achieve automated rule checking for MEP. This simplifies the process of rule checking of MEP systems in an automated manner.

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Section: Limitationsmentioning

confidence: 99%

Automated Rule Checking for MEP Systems Based on BIM and KBMS

Xie

Zhou

et al. 2022

Buildings

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“…Over 400 software applications, including Solibri [2], Revit [3], Bentley [4], and SketchUp [5], enable the exchange of IFC data among stakeholders. Many studies have shown that IFC data can be exchanged and managed for rule checking [6] and structural design analysis [7] during the design phase, construction cost estimation [8] and progress monitoring [9] during the construction phase, and structural health monitoring [10] during the operation and maintenance (O&M) phase. In short, IFC enables the exchange of information between BIM and other IFC-compatible environments, which improves the efficiency, effectiveness, and performance of whole lifecycle management.…”

Section: Introductionmentioning

confidence: 99%

Integration of Industry Foundation Classes and Ontology: Data, Applications, Modes, Challenges, and Opportunities

Jia,

Ma,

Zhang

2024

Buildings

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Industry Foundation Classes (IFCs), as the most recognized data schema for Building Information Modeling (BIM), are increasingly combined with ontology to facilitate data interoperability across the whole lifecycle in the Architecture, Engineering, Construction, and Facility Management (AEC/FM). This paper conducts a bibliometric analysis of 122 papers from the perspective of data, model, and application to summarize the modes of IFC and ontology integration (IFCOI). This paper first analyzes the data and models of the integration from IFC data formats and ontology development models to the IfcOWL data model. Next, the application status is summed up from objective and phase dimensions, and four frequent applications with maturity are identified. Based on the aforementioned multi-dimensional analysis, three integration modes are summarized, taking into account various data interoperability requirements. Accordingly, ontology behaves as the representation of domain knowledge, an enrichment tool for IFC model semantics, and a linkage between IFC data and other heterogeneous data. Finally, this paper points out the challenges and opportunities for IFCOI in the data, domain ontology, and integration process and proposes a building lifecycle management model based on IFCOI.

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“…Level 3A is often achieved by project enterprises, general contractors, or consortia of companies. Nevertheless, despite various ontology-level solutions, designers are still often forced to iteratively fix interoperability failures [19]. Level 3B is a similar challenge.…”

Section: Introductionmentioning

confidence: 99%

Low-Cost Internet of Things Solution for Building Information Modeling Level 3B—Monitoring, Analysis and Management

Borkowski

2024

JSAN

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The integration of the Internet of Things (IoT) and Building Information Modeling (BIM) is progressing. The use of microcontrollers and sensors in buildings is described as a level 3B maturity in the use of BIM. Design companies, contractors and building operators can use IoT solutions to monitor, analyze or manage processes. As a rule, solutions based on original Arduino boards are quite an expensive investment. The aim of this research was to find a low-cost IoT solution for monitoring, analysis and management, and integrate it with a BIM model. In the present study, an inexpensive NodeMCU microcontroller and a temperature and pressure sensor were used to study the thermal comfort of users in a single-family home. During the summer season, analysis of the monitored temperature can contribute to installation (HVAC) or retrofit work (for energy efficiency). The article presents a low-cost solution for studying the thermal comfort of users using a digital twin built-in BIM. Data obtained from sensors can support both the design and management processes. The main contribution of the article enables the design, construction and use of low-cost circuits (15.57 USD) even in small developments (single-family houses, semi-detached houses, terraced houses, atrium buildings). Combining IoT sensor telemetry with BIM (maturity level 3C) is a challenge that organizations will face in the near future.

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Framing and Evaluating the Best Practices of IFC-Based Automated Rule Checking: A Case Study

Cited by 11 publications

References 39 publications

Automated Rule Checking for MEP Systems Based on BIM and KBMS

Automated Rule Checking for MEP Systems Based on BIM and KBMS

Integration of Industry Foundation Classes and Ontology: Data, Applications, Modes, Challenges, and Opportunities

Low-Cost Internet of Things Solution for Building Information Modeling Level 3B—Monitoring, Analysis and Management

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