Cyber-Physical Systems for Temporary Structures Monitoring

Yuan, Xin; Anumba, Chimay J.

doi:10.1007/978-3-030-41560-0_7

Cited by 19 publications

(6 citation statements)

References 21 publications

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“…The green cluster, called "IoT and life-cycle approaches", regards studies that consider that a DT should encompass and plan the entire life cycle of a physical asset, thus producing profound differences depending on the application domain [56]. Through the use of the IoT, the gap between the physical and virtual worlds is filled by bridging a physical component's sensors and actuators with its digital counterpart [57]. In the safety domain, a DT provides an opportunity to train employees in virtual environments, thus helping to achieve accident prevention and to reduce the probability of accidents that may occur during on-the-job training [58].…”

Section: Cluster Content Results For the Intersection Between The Dt mentioning

confidence: 99%

Is Digital Twin Technology Supporting Safety Management? A Bibliometric and Systematic Review

2021

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In the Industry 4.0 era, digital tools applied to production and manufacturing activities represent a challenge for companies. Digital Twin (DT) technology is based on the integration of different “traditional” tools, such as simulation modeling and sensors, and is aimed at increasing process performance. In DTs, simulation modeling allows for the building of a digital copy of real processes, which is dynamically updated through data derived from smart objects based on sensor technologies. The use of DT within manufacturing activities is constantly increasing, as DTs are being applied in different areas, from the design phase to the operational ones. This study aims to analyze existing fields of applications of DTs for supporting safety management processes in order to evaluate the current state of the art. A bibliometric review was carried out through VOSviewer to evaluate studies and applications of DTs in the engineering and computer science areas and to identify research clusters and future trends. Next, a bibliometric and systematic review was carried out to deepen the relation between the DT approach and safety issues. The findings highlight that in recent years, DT applications have been tested and developed to support operators during normal and emergency conditions and to enhance their abilities to control safety levels.

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Section: Cluster Content Results For the Intersection Between The Dt mentioning

confidence: 99%

Is Digital Twin Technology Supporting Safety Management? A Bibliometric and Systematic Review

2021

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“…Sensor data and BIM models are used to analyse risk and safety by providing real-time and post-event visualisation [153]. Structure monitoring sensors, RFID tags, and BIM models enabled the visualisation of non-functioned components for structure risk monitoring [154][155][156]. GPS and GIS could provide location-specific services for real-time tracking systems for materials, equipment installed on the site and personnel [157] to identify potential risks.…”

Section: Iot Technologiesmentioning

confidence: 99%

Perspective Chapter: Recent Advancements in the Management of Construction Risks

Muhammed-Yakubu

2024

Civil Engineering

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The UK zero-harm agenda’s catchphrase, “One Death is Too Many,” demonstrates that no accident on construction sites is acceptable. Risks associated with construction can be reduced by combining cultural, social, and technological factors. While much work has been done from social and cultural perspectives, the technological aspect, particularly the use of digital technologies, has been minimal. To address this, it is necessary to investigate how social-technical systems interact and their effects on risks on construction sites. Although evidence indicates that effective digitization is required to achieve the zero-harm target and best practices on construction sites, current approaches focus on the socio-cultural aspect of risk management. In order to enforce risk management on construction sites, this paper addresses the digital visualisation of risk management by identifying risks and unsafe site practices. It suggests new approaches for utilising contemporary technologies to reduce risks on construction sites.

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“…The effectiveness of the structural Digital Twin was also tested to see if by using IoT-based sensors and actuators the Digital Twin could respond in real-time to the performance of its physical counterpart (Chiachío et al, 2022). Similarly, a Digital Twin of temporary structures has been created to enhance monitoring and preventing potential structural failures (Yuan and Anumba, 2020).Use of Digital Twin to support anomaly detection in support of asset monitoring using IFC-based data structure has been tested for centrifugal pumps in the heating, ventilation, and air-cooling system (Lu et al, 2020). Use of Digital Twin to support heritage sites maintenance has also been explored by monitoring relative humidity inside the sites using IoT devices and developing ventilation system by running simulation in the Digital Twin environment (Zhang et al, 2022).…”

Section: Classification Levels Of Digital Twins and Current State Of ...mentioning

confidence: 99%

“…Benefits of Digital Twin to the construction industry (Madubuike et al, 2022), (Akanmu et al, 2021), (Boje et al, 2020), (Khajavi et al, 2019) Emerging technology and trends to support evolution from BIM to Digital Twin (Menassa, 2021), (Chiachío et al, 2022), (Jiang et al, 2022), (Li et al, 2021), (Pan and Zhang, 2021), (Seghezzi et al, 2021), (Tariq et al, 2022), (Zhang et al, 2022), (Almatared et al, 2022), (Deria et al, 2022) Digital Twin knowledge transfer (Elsehrawy et al, 2021) Cybersecurity for Digital Twin (Alshammari et al, 2021) Cyber-Physical System (Alshammari et al, 2021), (Akanmu et al, 2021), (Jiang et al, 2022), (Pregnolato et al, 2022), (Pan and Zhang, 2021), (Yuan and Anumba, 2020) Smart Infrastructure Digital Twin (Broo et al, 2022), (Pregnolato et al, 2022) Simulation (Chiachío et al, 2022), (Yuan and Anumba, 2020), (Zhang et al, 2022) Real-time information exchange (Jiang et al, 2022) Workflow for the development of Digital Twin (Pregnolato et al, 2022), (Pan and Zhang, 2021), (Broo et al, 2022), (Sobhkhiz and El-Diraby, n.d.) The adoption of Digital Twins in the A/E/C/FM industry remains low as compared to other industries. The slow rate of adoption can be attributed to three factors (Madubuike et al, 2022):…”

Section: Research Domain Literaturementioning

confidence: 99%

A tool-based system architecture for a digital twin: a case study in a healthcare facility

Harode¹,

Thabet²,

Dongre³

2023

ITcon

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Changes in the local and global markets are forcing A/E/C/FM (Architecture, Engineering, Construction, and Facility Management) organizations to deliver more robust and innovative operational BIMs (Building Information Models). It is hypothesized that BIMs will transform from a static 3D model to a Digital Twin providing a truly digital representation of the physical asset or the building it represents. This transformation to a dynamic Digital Twin will allow the A/E/C/FM industry to visualize, monitor, and optimize operational assets and processes to support better inspection and analysis for a more efficient facility operations and maintenance. To support the adoption and implementation of Digital Twin in A/E/C/FM, the authors have defined two clear objectives. First, we discuss requirements for a functionality-based canonical architecture to create a digital twin followed by proposing two tool-based system architecture options for its implementation. Second, we use a case study approach to develop a proof-of-concept Digital Twin of an operating room in a healthcare facility using Power BI Desktop and Azure Services. The prototype aims to monitor room air quality as per INAIL (National Institute for Insurance against Accidents at Work) and ISO (International Organization for Standards) standards. Multiple sensors connected to a Raspberry Pi 4 are used to capture real-time data for various air quality parameters including temperature, humidity, airflow, particulate contamination, and Nitrous Oxide (N2O) gas. Multiple dashboards are also created to visualize, monitor, and analyze the data harnessed from the OR sensors. The implementation addresses critical issues including security, data storage, visualization, processing, data streaming, collection, and analysis. As an initial validation, the Digital Twin prototype was presented and discussed with a healthcare BIM manager. Initial feedback from the industry expert indicated that the prototype could decrease the required time to respond to facility maintenance issues such as decreased air flow due to possible obstructions.

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Cyber-Physical Systems for Temporary Structures Monitoring

Cited by 19 publications

References 21 publications

Is Digital Twin Technology Supporting Safety Management? A Bibliometric and Systematic Review

Is Digital Twin Technology Supporting Safety Management? A Bibliometric and Systematic Review

Perspective Chapter: Recent Advancements in the Management of Construction Risks

A tool-based system architecture for a digital twin: a case study in a healthcare facility

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