Short answer

Incorporate photogrammetric data capture capabilities into ROV design and ensure seamless integration with digital twin platforms for enhanced offshore asset management.

Field: Modelling
Source: International Journal of Multidisciplinary Research and Growth Evaluation (2024)
Method: Case study and technology review
Evidence: Strong effect

Remotely Operated Vehicles (ROVs) can capture detailed visual and photogrammetric data, which is crucial for building accurate digital twins of offshore assets, thereby enhancing integrity management. This modelling research insight is drawn from a 2024 study published in International Journal of Multidisciplinary Research and Growth Evaluation. Using Case study and technology review, researchers explored how this design variable affects real-world outcomes. The key design takeaway: Incorporate photogrammetric data capture capabilities into ROV design and ensure seamless integration with digital twin platforms for enhanced offshore asset management.

Study

ModellingRecentStrong effect

ROV-generated photogrammetry enables accurate digital twin creation for offshore asset integrity

International Journal of Multidisciplinary Research and Growth Evaluation · 2024

Key Findings

01ROVs are essential for visual and photogrammetric inspection of offshore assets like wind turbine foundations and subsea pipelines.
02ROV data, when integrated with platforms like FDVR, COABIS, and SENSE, facilitates the creation of digital twins.
03Digital twins enable advanced analytics such as history comparison, anomaly detection, and predictive maintenance.
04ROVs reduce operational risks and improve efficiency in high-risk, deepwater conditions compared to human divers.

Application

Design takeaway

Incorporate photogrammetric data capture capabilities into ROV design and ensure seamless integration with digital twin platforms for enhanced offshore asset management.

How to apply

When designing or specifying ROVs for offshore inspections, prioritize sensor suites capable of high-fidelity photogrammetric data acquisition and ensure compatibility with leading digital twin software.

Project actions

01Consider how your design could be represented as a digital twin.
02Explore how sensor data could be used to update and inform a digital model of your product.

Method & Evidence

AimTo investigate how ROV-generated photogrammetric data can be utilized to create and maintain accurate digital twins for effective asset integrity management in offshore environments.

MethodCase study and technology review

ProcedureThe research reviews existing literature and case studies on the application of ROVs in offshore asset integrity, focusing on their ability to capture data for photogrammetry and digital twin creation. It examines the integration of this data with specialized software platforms.

ContextOffshore renewable energy (wind) and oil & gas industries

Variables

IVROV data acquisition capabilities (photogrammetry, visual inspection)

DVAccuracy and utility of digital twins for asset integrity management

CVType of offshore asset, environmental conditions, data processing software platforms

Strengths & Limitations

Strengths

+Focuses on a critical and evolving area of offshore engineering.
+Highlights the synergy between hardware (ROVs) and software (digital twins).

Limitations

The accuracy of the digital twin is highly dependent on the quality and completeness of the data captured by the ROV.

Reliability & validity

The reliability of the findings depends on the robustness of the reviewed case studies and the consistency of ROV data quality across different applications. Validity is supported by the practical application of these technologies in industry.

Think critically

How might the increasing autonomy of ROVs further enhance the fidelity and real-time updating of digital twins, and what new challenges might this present?

Design Principles

"Leverage advanced data capture and modelling techniques to create dynamic digital representations of physical assets for continuous monitoring and predictive maintenance."

The creation of digital twins from ROV data allows for sophisticated analysis, historical comparison, and anomaly detection. This capability is vital for predictive maintenance and ensuring the long-term safety and compliance of complex offshore infrastructure.

What This Means for Your Design

Robots that go underwater (ROVs) can take pictures and measurements that help create a virtual copy of offshore structures. This virtual copy, called a digital twin, helps engineers keep the structures safe and predict problems before they happen.

How to use in your project

1.Reference the use of ROV data for creating digital twins as an example of advanced modelling techniques in your design project.

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Quick Cite

Paragraph starter

The application of Remotely Operated Vehicles (ROVs) in offshore asset integrity management highlights the critical role of advanced data acquisition in creating accurate digital twins. ROVs' photogrammetric capabilities allow for the generation of detailed 3D models, which serve as the foundation for sophisticated digital twin platforms. These platforms enable predictive maintenance, anomaly detection, and historical data analysis, significantly enhancing the safety, efficiency, and compliance of offshore energy infrastructure.

Source

International Journal of Multidisciplinary Research and Growth Evaluation

The Role of Remote Operated Vehicles (ROVs) in Offshore Renewable and Oil & Gas Asset Integrity

journal · 2024

View source

Questions About This Research

What does the research say about rov-generated photogrammetry enables accurate digital twin creation for offshore asset integrity?: Incorporate photogrammetric data capture capabilities into ROV design and ensure seamless integration with digital twin platforms for enhanced offshore asset management. Evidence: International Journal of Multidisciplinary Research and Growth Evaluation (2024).
Why does "ROV-generated photogrammetry enables accurate digital twin creation for offshore asset integrity" matter for design?: The creation of digital twins from ROV data allows for sophisticated analysis, historical comparison, and anomaly detection. This capability is vital for predictive maintenance and ensuring the long-term safety and compliance of complex offshore infrastructure.
How can designers apply this research?: Incorporate photogrammetric data capture capabilities into ROV design and ensure seamless integration with digital twin platforms for enhanced offshore asset management.
What were the main findings?: ROVs are essential for visual and photogrammetric inspection of offshore assets like wind turbine foundations and subsea pipelines.. ROV data, when integrated with platforms like FDVR, COABIS, and SENSE, facilitates the creation of digital twins.. Digital twins enable advanced analytics such as history comparison, anomaly detection, and predictive maintenance.. ROVs reduce operational risks and improve efficiency in high-risk, deepwater conditions compared to human divers.
What research method was used?: Case study and technology review.
How strong is the evidence?: Evidence strength is rated Strong effect, based on a 2024 journal from International Journal of Multidisciplinary Research and Growth Evaluation.
What should I do differently in my next project?: When designing or specifying ROVs for offshore inspections, prioritize sensor suites capable of high-fidelity photogrammetric data acquisition and ensure compatibility with leading digital twin software.
What are the limitations?: Challenges include weather dependency, excessive data volumes, and sensor integration issues, which are being addressed by increased autonomy and AI.