Table 1 Related studies with their core concept and findings.
Aspect | Author(s) | Methodology/ study type | Concept | Research directions | References |
|---|---|---|---|---|---|
IoT in structural health monitoring | Begić and Galić (2021) | Case study | IoT provides real-time monitoring and early detection of structural issues | Enhance real-time monitoring with AI integration for predictive capabilities | |
Predictive maintenance | Soori, Arezoo and Dastres (2023) | Quantitative analysis | Predictive maintenance reduces downtime by up to 25% in offshore platforms | Develop tailored predictive maintenance algorithms for specific offshore environments | |
IoT in harsh marine environments | Xu et al. (2019) | Experimental | IoT sensor reliability decreases under harsh marine conditions | Research on more durable sensors and materials for marine IoT applications | |
Cybersecurity in offshore IoT | Khan, Awang and Abdul Karim (2022) | Literature review | Offshore IoT systems are vulnerable to cyber-attacks, especially in remote locations | Implement advanced cybersecurity protocols tailored for offshore IoT systems | |
Data analytics in IoT | Koc et al. (2020) | Simulation | Big data analytics in IoT faces challenges in real-time processing | Explore scalable data analytics frameworks for real-time IoT data processing | |
IoT-based corrosion monitoring | Nassar (2022) | Predictive modeling | IoT models can accurately predict corrosion rates, improving maintenance planning | Advance predictive models with more real-time data for precise corrosion monitoring | |
Structural resilience enhancement | Muttillo et al. (2020) | Field study | IoT enhances resilience by providing continuous feedback on structural integrity | Integrate AI and machine learning to create adaptive resilience strategies | |
Integration challenges | Lee et al. (2006) | Case study | Retrofitting IoT in older offshore platforms presents significant challenges | Investigate cost-effective retrofitting solutions for legacy offshore structures | |
Long-term performance of IoT | P. Johare, Wagh and Shaligram (2022) | Systematic review | Long-term IoT system performance in offshore environments is still uncertain | Conduct long-term studies to evaluate IoT system durability in marine conditions | |
IoT adoption in other sectors | Durlik et al. (2023) | Comparative analysis | IoT adoption in other industries offers valuable insights for offshore applications | Apply best practices from other sectors to optimize offshore IoT implementations | |
IoT-driven structural monitoring | Khan et al., (2019) | Experimental | Continuous monitoring via IoT improves the safety and efficiency of offshore operations | Expand IoT-driven monitoring to include more variables and environmental factors | |
Advances in sensor materials | Zhang, Beer and Quek (2015) | Experimental | New materials and coatings improve IoT sensor durability in harsh conditions | Research new materials that enhance sensor longevity and data accuracy |
