BIM-Based AR Maintenance System (BARMS) as an Intelligent Instruction Platform for Complex Plumbing Facilities

Diao, Pei-Huang; Shih, Naai‐Jung

doi:10.3390/app9081592

Cited by 37 publications

(29 citation statements)

References 31 publications

(34 reference statements)

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…However, it fails to help the worker identify the hazards in the surrounding workplace for active decision making. MR and AR visualization technology have been widely studied for collaboration [113], operation [114,115], maintenance [116,117], and inspection [15,118]. They are advantageous in displaying context-aware safety information [58].…”

Section: Warning Mechanismsmentioning

confidence: 99%

Literature Review of Digital Twins Applications in Construction Workforce Safety

et al. 2020

View full text Add to dashboard Cite

For many decades, safety has been a challenge in the construction sector. Despite extensive efforts to improve overall safety, the sector’s casualty rate still remains high. In practice, dynamic and complex construction processes may lead to on-site risks and safety plans being overlooked, likely leading to a variety of safety accidents. Nowadays, under the guidance of the digital twins (DT) concept, the advent of state-of-the-art sensing and visualisation technologies has offered the possibility to improve construction health and safety in the workplace. To understand the research advances of these technologies, identify their gaps and challenges, and propose solutions to further advance the industry’s safety, we conducted and report a thorough review on the state-of-the-art technological studies, and elaborate upon the key findings in detail. For instance, despite DT being proven to be effective in improving construction workforce safety, the construction industry has yet to fully exploit and streamline these innovations in practice. Overall, this review provides insights into technological clustering, improvement strategies, as well as workforce safety, which can benefit from formulating effective digital technology paradigms.

show abstract

Section: Warning Mechanismsmentioning

confidence: 99%

Literature Review of Digital Twins Applications in Construction Workforce Safety

et al. 2020

View full text Add to dashboard Cite

show abstract

“…Lima et al [53] AR application on automotive sector Car Park et al [54] Wearable AR for smart task assistance to provide visual guidance Various object Diao et al [55] BARMS smartphone-based platform for cooling tower and in-wall pipe mapping maintenance assistance…”

Section: Switch Knob and Handle Switchmentioning

confidence: 99%

A review on predictive maintenance technique for nuclear reactor cooling system using machine learning and augmented reality

Nor

Kassim

Minhat

et al. 2022

IJECE

View full text Add to dashboard Cite

<span lang="EN-US">Reactor TRIGA PUSPATI (RTP) is the only research nuclear reactor in Malaysia. Maintenance of RTP is crucial which affects its safety and reliability. Currently, RTP maintenance strategies used corrective and preventative which involved many sensors and equipment conditions. The existing preventive maintenance method takes a longer time to complete the entire system’s maintenance inspection. This study has investigated new predictive maintenance techniques for developing RTP predictive maintenance for primary cooling systems using machine learning (ML) and augmented reality (AR). Fifty papers from recent referred publications in the nuclear areas were reviewed and compared. Detailed comparison of ML techniques, parameters involved in the coolant system and AR design techniques were done. Multiclass support vector machines (SVMs), artificial neural network (ANN), long short-term memory (LSTM), feed forward back propagation (</span><span lang="EN-US">FFBP), graph neural networks-feed forward back propagation (GNN-FFBP) and ANN were used for the machine learning techniques for the nuclear reactor. Temperature, water flow, and water pressure were crucial parameters used in monitoring a nuclear reactor. Image marker-based techniques were mainly used by smart glass view and handheld devices. A switch knob with handle switch, pipe valve and machine feature were used for object detection in AR markerless technique. This study is significant and found seven recent papers closely related to the development of predictive maintenance for a research nuclear reactor in Malaysia.</span>

show abstract

“…AR remote assistance, such as "see what I see" apps, can provide better knowledge transfer via a peer-to-peer connection that incorporates video, audio, or hand annotations [56][57][58]. Other studies of AR assistance have provided remote technical support, including those for maintenance [52], manufacturing [54,59], automotive [60], and utilities [61], with visual instructions or virtual user manuals [53,55] by means of annotations and content uploaded to phones, tablets, and AR glasses.…”

Section: Video Conferencing and Remote Collaboration With Armentioning

confidence: 99%

AR-Based 3D Virtual Reconstruction of Brick Details

Shih

2022

Remote Sensing

Self Cite

View full text Add to dashboard Cite

Building heritage contributes to the historical context and industrial history of a city. Brick warehouses, which comprise a systematic interface between components, demand an interactive manipulation of inspected parts to interpret their construction complexity. The documentation of brick details in augmented reality (AR) can be challenging when the relative location needs to be defined in 3D. This study aimed to compare brick details in AR, and to reconstruct the interacted result in the correct relative location. We applied photogrammetry modeling and smartphone AR for the first and secondary 3D reconstruction of brick warehouse details and compared the results. In total, 146 3D AR database models were created. The AR-based virtual reconstruction process applied multiple imagery resources from video conferencing and broadcast of models on the Augment® platform through a smartphone. Tests verified the virtual reconstruction in AR, and concluded the deviation between the final secondary reconstructed 3D model and the first reconstructed model had a standard deviation of less than 1 cm. AR enabled the study and documentation of cross-referenced results in comparison with the simplified reconstruction process, with structural detail and visual detail suitable for 3D color prints.

show abstract

BIM-Based AR Maintenance System (BARMS) as an Intelligent Instruction Platform for Complex Plumbing Facilities

Cited by 37 publications

References 31 publications

Literature Review of Digital Twins Applications in Construction Workforce Safety

Literature Review of Digital Twins Applications in Construction Workforce Safety

A review on predictive maintenance technique for nuclear reactor cooling system using machine learning and augmented reality

AR-Based 3D Virtual Reconstruction of Brick Details

Contact Info

Product

Resources

About