Augmented Reality-Based BIM Data Compatibility Verification Method for FAB Digital Twin implementation

Abstract

With the advancement of state-of-the-art technologies, the semiconductor industry plays a key role as an essential component in the manufacture of various electronic products. Since the manufacturing of a semiconductor goes through very sophisticated and complex processes, efficient and accurate work and management are essential in the design, construction, and operation stages of the semiconductor fabrication (FAB) plant. Recently, the combined application of building information modeling (BIM) and augmented reality (AR) technology has gained increased attention in this semiconductor FAB industry as an advanced way to improve work efficiency and accuracy while eliminating other related problems, such as human errors. Despite the perceived benefits of combined use of BIM and AR, many technical problems still exist when integrating the target test model and the 3D virtual object model using BIM data and existing AR visualization technology, due to the unique characteristics of the FAB sites. To solve these problems, this study proposed an AR-based real-time BIM data compatibility verification method for future FAB digital twin implementation and demonstrated that it could be converted into a system and applied to actual FAB sites. As a result of the development and verification of this system, the proposed AR-based real-time BIM data compatibility verification system enables the accurate fitting of the AR model and actual object through AR tracking and anchoring technology considering the characteristics of FAB sites. After the fitting, the system was able to maintain compatibility, even when the camera moved and the marker moved away from the screen. By expanding the effective distance of compatibility between the AR model and the actual object, it was possible to increase the AR application range between the 3D virtual object model and the test target model and to improve the compatibility.

An Immersive Digital Twin Applied to a Manufacturing Execution System for the Monitoring and Control of Industry 4.0 Processes

“…Subsequently, studies that implement DTs in conjunction with AR or VR applied in the industry were reviewed to establish the architectures and technologies used by the authors in [26], who propose an AR-based DT method for the compatibility verification of building information modeling (BIM) data applied in semiconductor manufacturing (FAB). The system was implemented in Unity-based AR/visual SLAM along with AR Foundation using SLAM, 2D tracking, and local anchoring API in ARCore.…”

Exploring the Contribution of Advanced Systems in Smart City Development for the Regeneration of Urban Industrial Heritage

“…Smart technologies are widely employed in various domains, encompassing fire safety management systems, energy management for intelligent buildings, market value assessments of residential buildings using data mining and artificial intelligence, efficient visual inspection of buildings through the integration of artificial intelligence and unmanned aerial vehicles, verification methods based on augmented reality, and building information modeling (BIM) data compatibility, as well as methodological approaches aimed at enhancing the intelligence of university campuses. These comprehensive investigations offer valuable insights to policymakers, urban planners, and researchers involved in sustainable urban development, facilitating a holistic comprehension of the revitalization of urban industrial heritage and traditional industrial blocks within the smart city context [55][56][57][58][59][60].…”

Automated Generation and Internal Force Visualization for Box Culvert Based on Building Information Modeling

“…In recent years, with the rapid advancement of information technology, Building Information Modeling (BIM) has been widely used in different construction engineering fields, and its applications include, but are not limited to, visualization management, three-dimensional modeling, cost estimation, design review, collision detection, on-site construction management, and integration with point cloud technology such as for historical building maintenance [4][5][6][7][8]. BIM has played a pivotal role in the digital transformation of the construction industry [9,10]. BIM's parametric modeling improves design flexibility and efficiency and is extremely beneficial for simple and repetitive structures, such as box culverts, as it replaces cumbersome and time-consuming manual processes, substantially reducing the time and effort invested in projects [11,12].…”

“…However, there are limited interoperability, untimely exchanges of information, and even errors in the results of exchanges between mainstream BIM software and structural analysis software models [6,13]. Liu et al [13] indicated that complex nodes (e.g., connections between inclined beams and columns of unequal height) fail to show the differences between irregular nodes and other nodes after conversion to structural analysis software and must be modified manually, which directly leads to difficulty when engineers try to utilize BIM in the structural design stage [9,10]. Furthermore, BIM's high integration can coordinate and integrate all aspects of architectural design, construction, and operation processes, thus improving project performance and enterprise benefits [14,15].…”