Evaluating Mobile Crane Lift Operations Using an Interactive Virtual Reality System

Pooladvand, Shiva; Taghaddos, Hosein; Eslami, Arash; Tak, Ala Nekouvaght; Hermann, Ulrich

doi:10.1061/(asce)co.1943-7862.0002177

Cited by 37 publications

(20 citation statements)

References 44 publications

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“…Alvanchi et al [ 129 ] proposed a method to plan and manage the safety of construction projects during the commercialization process. Pooladvand et al [ 144 ] investigated a crane simulator that integrates lifting survey data and a detailed crane route planning system. Other studies investigate immersive environments for protection system selection and guardrail design in construction projects [ 111 , 132 ].…”

Section: Results and Analysismentioning

confidence: 99%

See 1 more Smart Citation

Critical Analysis of the Evaluation Methods of Extended Reality (XR) Experiences for Construction Safety

Salinas

Rivera

Serrano

2022

IJERPH

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The construction industry has high accident rates. The sector is exploring various tools to improve safety management, training, and awareness to achieve zero accidents. This work focuses on extended reality (XR), which encompasses virtual reality (VR), augmented reality (AR), and mixed reality (MR) technologies. Several authors have developed training experiences for construction safety in XR environments with positive conclusions about their effectiveness. However, there is no standardization regarding the evaluation methods used in the sector, and many experiences do not use any method. This lack is critical, as whenever the aim is to evaluate the degree of awareness of security issues, the implementation of evaluation systems is indispensable to make known the methods used in the literature to evaluate the effectiveness of the experiences and represent support for future research. This research identifies developments in XR experiences and analyzes the validation methods through a systematic review using the PRISMA methodology. It identifies two evaluation methods, objective and subjective, which are each broken down into four categories. The results show the types of evaluation, safety-related purposes, and safety application objectives used by the database classification.

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Section: Results and Analysismentioning

confidence: 99%

“…Barkokebas et al [ 143 ] proposed an approach to evaluate training for the assembly, disassembly, and maintenance of construction machines. Pooladvand et al [ 144 ] developed a crane simulator system in a VR environment. This safety application target appeared in 13.4% of articles (13 articles), all employing VR.…”

Section: Results and Analysismentioning

confidence: 99%

Critical Analysis of the Evaluation Methods of Extended Reality (XR) Experiences for Construction Safety

Salinas

Rivera

Serrano

2022

IJERPH

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“…An assistance system for mobile cranes leveraging AR was developed in [38] to provide safety-related information for operators. An interactive virtual reality system integrated with a database was developed to evaluate mobile crane lift operations in [39]. However, these cases were developed according to the specific requirements, lacking a general framework for the development of XR applications.…”

Section: Industrial Xr Applicationsmentioning

confidence: 99%

Extended Reality Application Framework for a Digital-Twin-Based Smart Crane

Yang

Autiosalo

et al. 2022

Applied Sciences

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Industry 4.0 is moving forward under technology upgrades, utilizing information technology to improve the intelligence of the industry, whereas Industry 5.0 is value-driven, aiming to focus on essential societal needs, values, and responsibility. The manufacturing industry is currently moving towards the integration of productivity enhancements and sustainable human employment. Such a transformation has deeply changed the human–machine interaction (HMI), among which digital twin (DT) and extended reality (XR) are two cutting-edge technologies. A manufacturing DT offers an opportunity to simulate, monitor, and optimize the machine. In the meantime, XR empowers HMI in the industrial field. This paper presents an XR application framework for DT-based services within a manufacturing context. This work aims to develop a technological framework to improve the efficiency of the XR application development and the usability of the XR-based HMI systems. We first introduce four layers of the framework, including the perception layer with the physical machine and its ROS-based simulation model, the machine communication layer, the network layer containing three kinds of communication middleware, and the Unity-based service layer creating XR-based digital applications. Subsequently, we conduct the responsiveness test for the framework and describe several XR industrial applications for a DT-based smart crane. Finally, we highlight the research challenges and potential issues that should be further addressed by analyzing the performance of the whole framework.

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“…Few researchers focused on developing and improving the software part of the cranes monitoring system. Yoon et al [15], [16] conducted simulation testing to evaluate mobile crane lift operations using various software platforms. Besides, the latest research proposed optimization of crane operation to improve the performance of cranes [17]- [19].…”

Section: Introductionmentioning

confidence: 99%

Crane monitoring system based on internet of things using long range

Jun

Hashim

Idris

et al. 2023

IJECE

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<span lang="EN-US">The four main causes of crane accidents are overturned, falls, mechanical failure, and contact with power lines. It is important to keep track of the crane’s health and condition as it is always too late when a failure of the crane was found. Any abrupt accidents will interrupt or delay the work progress and cause the operational costs to increase. Crane monitoring system is developed using long range (LoRa) technology due to its long range of detections making it suitable for monitoring machines that require large space including the dock area. It also consumes low power and is suitable for battery-operated systems. This paper discusses the design and development crane monitoring system using Arduino Uno together with NodeMCU ESP8266 as the hardware for this project. Temperature, power consumption, lifting activities, and total operating hours will be measured using appropriate sensors. The data will then be sent to the database where users can monitor each crane from a developed Android application using a mobile phone. This project allows users to view, monitor, and analyze real-time or past data in a graph or table view. Experimental results prove the proposed system is applicable and effective.</span>

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Evaluating Mobile Crane Lift Operations Using an Interactive Virtual Reality System

Cited by 37 publications

References 44 publications

Critical Analysis of the Evaluation Methods of Extended Reality (XR) Experiences for Construction Safety

Critical Analysis of the Evaluation Methods of Extended Reality (XR) Experiences for Construction Safety

Extended Reality Application Framework for a Digital-Twin-Based Smart Crane

Crane monitoring system based on internet of things using long range

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