Singapore Maritime Institute (SMI)

𝑴𝒂𝒓𝒊𝒕𝒊𝒎𝒆 𝑷𝒖𝒍𝒔𝒆: 𝑻𝒆𝒄𝒉 & 𝑻𝒓𝒆𝒏𝒅𝒔 𝐁𝐞𝐲𝐨𝐧𝐝 𝐭𝐡𝐞 𝐒𝐭𝐨𝐫𝐦: 𝐔𝐬𝐢𝐧𝐠 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐭𝐨 𝐏𝐫𝐞𝐝𝐢𝐜𝐭 𝐚𝐧𝐝 𝐏𝐫𝐞𝐯𝐞𝐧𝐭 𝐂𝐨𝐧𝐭𝐚𝐢𝐧𝐞𝐫 𝐋𝐨𝐬𝐬𝐞𝐬 𝐚𝐭 𝐒𝐞𝐚 𝐼𝑛𝑠𝑖𝑔ℎ𝑡𝑠 𝑏𝑦 Dr Sock Peng Tay, 𝑆𝑒𝑛𝑖𝑜𝑟 𝑀𝑎𝑛𝑎𝑔𝑒𝑟, 𝑆𝘔𝐼 𝗪𝗵𝗮𝘁 𝗶𝘀 𝘁𝗵𝗶𝘀 𝘀𝘁𝘂𝗱𝘆 𝗮𝗯𝗼𝘂𝘁? The study used machine learning and statistical analysis on global data from 2011–2023 to examine the causes and risks of marine container losses. It identified major causes, classified incidents by geographical zones, and developed a predictive model to assess the likelihood and severity of container loss based on vessel attributes and location factors. 𝗪𝗵𝗮𝘁 𝘄𝗲𝗿𝗲 𝘁𝗵𝗲 𝗳𝗶𝗻𝗱𝗶𝗻𝗴𝘀? 💠Adverse weather as the main cause of container loss ▪️Such conditions can lead to destabilisation of cargo, failure of securing systems and structural damage to vessels resulting in loss of containers overboard. 💠Vessel size vs. incident severity ▪️Larger vessels have fewer incidents but lose more containers per event, while smaller vessels face more frequent incidents with smaller losses. 💠Geospatial risk zones ▪️Through K-means clustering, geographical zones of maritime routes with higher risks were identified. 💠Predictive risk modelling and its current limitations ▪️The authors developed a decision tree model (supervised machine learning) to predict the risk and severity of container loss based on vessel attributes, location and primary cause.  ▪️While the model could correctly predict 95% of cases in the low-risk category (i.e. container loss ratio of ≤ 3.5%), the authors recognised further refinements were required to improve accuracy for moderate- and high-risk predictions. This could include incorporation of wave height and wind speed which are often missing in incidents records. 𝗪𝗵𝗮𝘁 𝗱𝗼𝗲𝘀 𝘁𝗵𝗶𝘀 𝗺𝗲𝗮𝗻 𝗳𝗼𝗿 𝘁𝗵𝗲 𝗺𝗮𝗿𝗶𝘁𝗶𝗺𝗲 𝗶𝗻𝗱𝘂𝘀𝘁𝗿𝘆? ✅Risk management and safety planning ▪️Operators and regulators can better assess which routes or weather conditions pose greatest risk, and plan mitigation strategies accordingly (e.g. altered routes, stricter securing procedures during bad weather). ✅Data-driven prioritisation of inspections or monitoring ▪️Ports, shipping companies, and flag / classification groups can prioritise where and/or which vessels to focus inspections or monitoring efforts on. ▪️However, this study highlights the importance in environmental monitoring (weather forecasts, sea state data) and data-completeness in the performance of such data-driven approaches – which could greatly benefit from installation of sensors and telemetry. Link to the articles: https://lnkd.in/gZ7Y2H9F For research collaboration discussion, email: [email protected] 𝐼𝑚𝑎𝑔𝑒: Figure: (Left) MOL COMFORT incident (https://lnkd.in/gJE8kmDf accessed on 10 October 2024). (Right) Distribution of container loss causes (Yi et. al, 2025)

📢 𝐂𝐚𝐥𝐥 𝐟𝐨𝐫 𝐀𝐛𝐬𝐭𝐫𝐚𝐜𝐭𝐬 𝐍𝐨𝐰 𝐎𝐩𝐞𝐧 | 𝐒𝐌𝐑𝐂 𝐱 𝐌𝐓𝐄𝐂/𝐈𝐂𝐌𝐀𝐒𝐒 𝐂𝐨𝐧𝐟𝐞𝐫𝐞𝐧𝐜𝐞 𝟐𝟎𝟐𝟔 𝑺𝒎𝒂𝒓𝒕 𝑺𝒉𝒊𝒑𝒔. 𝑺𝒆𝒄𝒖𝒓𝒆 𝑺𝒆𝒂𝒔. 𝑺𝒖𝒔𝒕𝒂𝒊𝒏𝒂𝒃𝒍𝒆 𝑭𝒖𝒕𝒖𝒓𝒆𝒔. The Singapore Maritime Research Conference (SMRC) will be held jointly with the International Maritime and Port Technology and Development Conference (MTEC) and the International Conference on Maritime Autonomous Surface Ships (ICMASS) in 2026. Organised by the Singapore Maritime Institute (SMI), Maritime and Port Authority of Singapore (MPA), SINTEF Ocean, and Norwegian University of Science and Technology (NTNU), this premier maritime research conference will convene global experts in Singapore on 22-23 April 2026 to address four main topics: ⚡Maritime Energy & Alternative Fuels 🤖 Autonomous Shipping & Smart Technologies 📦Cargo Optimisation and Digitalisation 🔒Maritime Cybersecurity 𝗔𝗯𝘀𝘁𝗿𝗮𝗰𝘁 𝘀𝘂𝗯𝗺𝗶𝘀𝘀𝗶𝗼𝗻𝘀 𝗮𝗿𝗲 𝗻𝗼𝘄 𝗼𝗽𝗲𝗻 𝘂𝗻𝘁𝗶𝗹 𝟭𝟱 𝗡𝗼𝘃𝗲𝗺𝗯𝗲𝗿 𝟮𝟬𝟮𝟱. Be part of one of the key maritime research and technology events during Singapore Maritime Week 2026. For more details on the abstract submission, please refer to https://lnkd.in/g4QV3X7F #SMI #SMRC #MTEC #ICMASS #Maritime #Research #Conference

#SMI extends our sincere gratitude to everyone who joined us and Maritime and Port Authority of Singapore (MPA) for our recent 𝗠𝗮𝗿𝗶𝘁𝗶𝗺𝗲 𝗧𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝘆 𝗮𝗻𝗱 𝗥&𝗗 𝗪𝗼𝗿𝗸𝘀𝗵𝗼𝗽. The energy, engagement, and expertise you brought to the session made all the difference. Your contributions and diverse perspectives not only enriched the discussions, they have helped shape meaningful insights that will guide our path forward. We look forward to keeping you updated on progress and continuing to work alongside all of you to turn our shared vision into reality. If you couldn’t join us, we’d still love to hear your thoughts. Do share them through the survey link in the post below. Here's to building a greener, smarter and more sustainable maritime future together! #SMI #MaritimeSG #Maritime #Research #Technology #Roadmapping

𝑴𝒂𝒓𝒊𝒕𝒊𝒎𝒆 𝑷𝒖𝒍𝒔𝒆: 𝑻𝒆𝒄𝒉 & 𝑻𝒓𝒆𝒏𝒅𝒔 In recognition of the 2025 Nobel Prize in Chemistry, we spotlight MOFs and their potential maritime applications. 𝐌𝐞𝐭𝐚𝐥-𝐨𝐫𝐠𝐚𝐧𝐢𝐜 𝐟𝐫𝐚𝐦𝐞𝐰𝐨𝐫𝐤𝐬 (𝐌𝐎𝐅𝐬) 𝐚𝐧𝐝 𝐩𝐨𝐭𝐞𝐧𝐭𝐢𝐚𝐥 𝐦𝐚𝐫𝐢𝐭𝐢𝐦𝐞 𝐚𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬 𝐼𝑛𝑠𝑖𝑔ℎ𝑡𝑠 𝑏𝑦 Dr Eva Shu Hui H., 𝑆𝑒𝑛𝑖𝑜𝑟 𝑀𝑎𝑛𝑎𝑔𝑒𝑟, 𝑆𝘔𝐼 𝗪𝗵𝗮𝘁 𝗶𝘀 𝘁𝗵𝗶𝘀 𝘁𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝘆? 💠Metal–Organic Frameworks (MOFs) are crystalline, porous materials made from metal ions/clusters and organic linkers, uniquely defined by their ultra-high surface area and tunable cavities for selective molecule capture; properties that can be precisely engineered at the molecular level. 💠3rd generation 'soft MOFs' exhibit global and local flexibility, making them highly effective for gas separation and storage. Their adaptability to harsh environments and superior selectivity and responsiveness outperform traditional materials. [1] 💠Applications span a broad range, including gas capture, catalysis, energy storage, sensing, water harvesting, and pollutant removal, to name a few. 𝗪𝗵𝘆 𝗱𝗼𝗲𝘀 𝘁𝗵𝗶𝘀 𝘁𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝘆 𝗺𝗮𝘁𝘁𝗲𝗿? ✅Potential maritime applications: ▪️Safer and higher energy density energy storage - High-density energy storage (e.g. CH₄)  ▪️Emission reduction - Flue gas capture (CO₂, NOx, SOx) and de-NOx treatments - As NH3 gains traction as a carbon-free marine fuel, its high-temperature combustion will inevitably lead to significant NOx emissions. MOFs offer promising solutions—either as catalysts for selective catalytic reduction (SCR) [2] or as sorbents for direct NO₂ capture [3] and conversion. Effective NOx mitigation is critical to improving the overall environmental viability of NH3 as a clean fuel. ✅Regeneration and continuous reuse MOFs' reversible interactions with guest molecules enable multiple capture–release cycles, supporting sustained operation in compact, low-waste systems for energy storage, pollutant removal, and catalysis—making them ideal for long-term maritime use. ✅Opportunity to solve challenges in maritime industry Further research is needed to assess MOFs’ robustness, stability and performance at scale, and to address techno-economic challenges. With increasing research momentum and emerging commercial successes, MOFs show strong potential for future sustainable maritime applications. Link to the articles: [1] Ind. Chem. Mater., 2025, Advance Article: https://lnkd.in/grSQ38Q6 [2] Mater. Today, 2025, 89, 312-343: https://lnkd.in/gpDRkjr6 [3] Nat. Chem., 2019, 11, 1085-1090: https://lnkd.in/ggyTR9dm For research collaboration discussion, email: [email protected] 𝐼𝑚𝑎𝑔𝑒: (A) Illustration of flexible MOF that changes shape when filled or emptied of gas molecules. (B) Overview of applications of soft MOFs [1]. (C) Schematic of NO₂ capture from exhaust and conversion into HNO3 with continuous MOF regeneration [3].

Join the Maritime Energy & Sustainable Development Centre of Excellence (MESD), for the 5th Maritime Minds @ MESD On-Campus Seminar on “From Research Journey to Real-World Impact: Advancing Biofuels for a Sustainable Future” on Friday, 31 October 2025. Registration details are available in the post below.

The Centre for Maritime Law, NUS Law School will be hosting the CML Seminar Series on "Jurisdictional Challenges for Remote Operation Centres and Uncrewed Ships" on Thursday, 30 October 2025, from 4:30 PM to 6:00 PM. Registration details are available in the post below.

𝑴𝒂𝒓𝒊𝒕𝒊𝒎𝒆 𝑷𝒖𝒍𝒔𝒆: 𝑻𝒆𝒄𝒉 & 𝑻𝒓𝒆𝒏𝒅𝒔 𝐊𝐞𝐲 𝐝𝐞𝐭𝐞𝐫𝐦𝐢𝐧𝐚𝐧𝐭𝐬 𝐟𝐨𝐫 𝐭𝐡𝐞 𝐜𝐨𝐦𝐦𝐞𝐫𝐜𝐢𝐚𝐥 𝐟𝐞𝐚𝐬𝐢𝐛𝐢𝐥𝐢𝐭𝐲 𝐨𝐟 𝐦𝐚𝐫𝐢𝐭𝐢𝐦𝐞 𝐚𝐮𝐭𝐨𝐧𝐨𝐦𝐨𝐮𝐬 𝐬𝐮𝐫𝐟𝐚𝐜𝐞 𝐬𝐡𝐢𝐩𝐬 (𝐌𝐀𝐒𝐒) 𝐼𝑛𝑠𝑖𝑔ℎ𝑡𝑠 𝑏𝑦 Frances Goh, 𝐴𝑠𝑠𝑖𝑠𝑡𝑎𝑛𝑡 𝐷𝑖𝑟𝑒𝑐𝑡𝑜𝑟, 𝑆𝘔𝐼 𝗪𝗵𝗮𝘁 𝗶𝘀 𝘁𝗵𝗶𝘀 𝘁𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝘆? 💠The study investigates the feasibility of possible MASS variants for merchant shipping using a multi-criteria decision-making (MCDM) framework. Perspectives of relevant maritime professionals were solicited through a web-survey, and the Bayesian Best-Worst Method (BWM) was used for the analysis of the collected data.  💠Using the weights for each criteria, the priorities of the Degree of Autonomy (DOA) of MASS and route alternatives (Route 1: Far East and North Europe/Mediterranean and Route 2: Intra-European container trade in the Mediterranean and Baltic Sea), were calculated. 𝗪𝗵𝗮𝘁 𝗱𝗼𝗲𝘀 𝘁𝗵𝗶𝘀 𝘁𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝘆 𝗺𝗲𝗮𝗻? ✅The findings reveal that 𝗿𝗲𝗹𝗶𝗮𝗯𝗶𝗹𝗶𝘁𝘆 𝗼𝗳 𝗮𝗱𝘃𝗮𝗻𝗰𝗲𝗱 (𝗖𝟱) 𝗡𝗮𝘃𝗶𝗴𝗮𝘁𝗶𝗼𝗻 𝗮𝗻𝘁𝗶-𝗰𝗼𝗹𝗹𝗶𝘀𝗶𝗼𝗻 𝗮𝗻𝗱 𝗮𝗻𝘁𝗶-𝗴𝗿𝗼𝘂𝗻𝗱𝗶𝗻𝗴 𝘀𝘆𝘀𝘁𝗲𝗺 𝗶𝘀 𝘁𝗵𝗲 𝗺𝗼𝘀𝘁 𝗶𝗺𝗽𝗼𝗿𝘁𝗮𝗻𝘁 𝗰𝗿𝗶𝘁𝗲𝗿𝗶𝗼𝗻 𝗳𝗼𝗿 𝗠𝗔𝗦𝗦 𝗮𝗱𝗼𝗽𝘁𝗶𝗼𝗻 𝗶𝗻 𝘀𝗵𝗶𝗽𝗽𝗶𝗻𝗴, followed by (C6) Cybersecurity risk and (C2) Capital costs (CAPEX). The most feasible DOA of MASS and route is D2 (Remotely controlled ship with seafarers onboard) MASS deployed on a short-range route, e.g Route 2 (Intra-European container trade in the Mediterranean and Baltic Sea). ✅These findings support: ▪️𝗥&𝗗 𝗶𝗻 𝗻𝗮𝘃𝗶𝗴𝗮𝘁𝗶𝗼𝗻 𝗮𝗻𝗱 𝗮𝗻𝘁𝗶-𝗰𝗼𝗹𝗹𝗶𝘀𝗶𝗼𝗻 𝘀𝘆𝘀𝘁𝗲𝗺𝘀 with academia-industry collaboration helping to bridge the gap between technological development and real-world application; ▪️Regular 𝘂𝗽𝗱𝗮𝘁𝗲𝘀 𝘁𝗼 𝗰𝘆𝗯𝗲𝗿𝘀𝗲𝗰𝘂𝗿𝗶𝘁𝘆 𝗽𝗿𝗼𝘁𝗼𝗰𝗼𝗹𝘀 in collaboration with cybersecurity experts; ▪️𝗙𝗶𝗻𝗮𝗻𝗰𝗶𝗮𝗹 𝗶𝗻𝗰𝗲𝗻𝘁𝗶𝘃𝗲𝘀 for stakeholders investing early in MASS; and ▪️𝗠𝗮𝗿𝗶𝘁𝗶𝗺𝗲 𝗲𝗱𝘂𝗰𝗮𝘁𝗶𝗼𝗻 𝗮𝗻𝗱 𝘁𝗿𝗮𝗶𝗻𝗶𝗻𝗴 in remote operations control centre of MASS to handle real-time decision making under routine and emergency scenarios. ✅𝗙𝘂𝗿𝘁𝗵𝗲𝗿 𝗿𝗲𝘀𝗲𝗮𝗿𝗰𝗵 𝗱𝗶𝗿𝗲𝗰𝘁𝗶𝗼𝗻𝘀 include: ▪️Evaluating the complexities of switching DOA of MASS during a particular voyage or different operating phases; ▪️Consideration of other factors e.g port infrastructure readiness that can impact route alternatives; and ▪️Impact on MASS on freight rate dynamics Link to the article in Marine Policy, Volume 172, 2025, 106482: https://lnkd.in/g6HAVcMZ For research collaboration discussion, email: [email protected] #SMI #Maritime #Tech #Trends #Insights 𝐼𝑚𝑎𝑔𝑒: (Source: Munim, Notteboom, et.al., 2025) Left: MCDM framework for assessing MASS adoption in shipping Right: Priority of criteria for MASS adoption (Please refer to the article for details on each criterion)

𝑴𝒂𝒓𝒊𝒕𝒊𝒎𝒆 𝑷𝒖𝒍𝒔𝒆: 𝑻𝒆𝒄𝒉 & 𝑻𝒓𝒆𝒏𝒅𝒔 𝐀𝐮𝐭𝐨𝐧𝐨𝐦𝐨𝐮𝐬 𝐟𝐥𝐞𝐞𝐭 𝐦𝐚𝐧𝐚𝐠𝐞𝐦𝐞𝐧𝐭 𝐬𝐲𝐬𝐭𝐞𝐦 𝐢𝐧 𝐬𝐦𝐚𝐫𝐭 𝐩𝐨𝐫𝐭𝐬: 𝐏𝐫𝐚𝐜𝐭𝐢𝐜𝐚𝐥 𝐝𝐞𝐬𝐢𝐠𝐧 𝐚𝐧𝐝 𝐚𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐚𝐥 𝐜𝐨𝐧𝐬𝐢𝐝𝐞𝐫𝐚𝐭𝐢𝐨𝐧𝐬 𝐼𝑛𝑠𝑖𝑔ℎ𝑡𝑠 𝑏𝑦 Hanyu翰玉 S., Manager, 𝑆𝘔𝐼 𝗪𝗵𝗮𝘁 𝗶𝘀 𝘁𝗵𝗶𝘀 𝘁𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝘆? An Autonomous Fleet Management System (AFMS) designed for horizontal container transportation in smart ports, which helps coordinate container-moving vehicles to boost efficiency, safety, and reliability while addressing labour shortages and rising costs. 💠Core Technology: ▪️ Fleet Scheduling: A centralised computing system manages container-moving, charging, and parking tasks, allocating resources dynamically to prevent congestion. ▪️ Autonomous Driving: Vehicles use multi-sensor fusion (cameras, LiDAR, radar) for localisation, perception, and real-time obstacle avoidance. ▪️ Dynamic Mapping: High-definition operational maps update in real time with layers for capacity, queues, and right-of-way. ▪️ Equipment Collaboration: Synchronises cranes, vehicles, and terminal systems for smooth container flow. ▪️ Data Analytics: Monitors KPIs such as crane idle time, vehicle tracking accuracy, charging utilisation, and manual intervention rates. 💠System Integration: The AFMS connects with Terminal Operating Systems, cranes, and IoT-enabled vehicles. It also leverages AI, 5G, edge computing, and V2V communication for real-time coordination. 𝗪𝗵𝗮𝘁 𝗱𝗼𝗲𝘀 𝘁𝗵𝗶𝘀 𝘁𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝘆 𝗺𝗲𝗮𝗻? Container terminals face the challenge of operating within constrained spaces and tight schedules, where limited coordination can lead to vehicle congestion, deadlocks, and costly crane idle times. ✅Centralised Coordination with Local Safety Control: The centralised AFMS allocates fleet tasks and routes, while each vehicle still retains safety-critical control for collision avoidance. ✅Provides full real-time visibility: Fusion of multiple sensors ensures vehicles know their exact position and surroundings even under harsh port conditions. ✅Smarter operations with analytics: Data-driven optimisation improves resource allocation, reduces empty runs, and anticipates bottlenecks. ✅Adaptive systems with human oversight: Operators retain the ability to intervene or override when required, while the system continuously adapts and improve through feedback. AFMS advances ports from isolated vehicles to intelligent fleets, reducing costs and emissions while improving safety—a key step toward fully automated smart ports. Link to the article in Multimodal Transportation, Volume 4, Issue 3, 2025: https://lnkd.in/g8fzqVXf For research collaboration discussion, email: [email protected] #SMI #Maritime #Tech #Trends #Insights 𝐼𝑚𝑎𝑔𝑒 (𝘚𝘰𝘶𝘳𝘤𝘦: 𝘊𝘩𝘢𝘯 𝘦𝘵. 𝘢𝘭, 2025):  Left: Major sea routes of the world Right: Comparison between automated and traditional ports

𝑴𝒂𝒓𝒊𝒕𝒊𝒎𝒆 𝑷𝒖𝒍𝒔𝒆: 𝑻𝒆𝒄𝒉 & 𝑻𝒓𝒆𝒏𝒅𝒔 𝐀 𝐃𝐢𝐠𝐢𝐭𝐚𝐥 𝐓𝐰𝐢𝐧 𝐟𝐨𝐫 𝐌𝐚𝐫𝐢𝐭𝐢𝐦𝐞 𝐔𝐧𝐦𝐚𝐧𝐧𝐞𝐝 𝐒𝐲𝐬𝐭𝐞𝐦𝐬: 𝐁𝐫𝐢𝐝𝐠𝐢𝐧𝐠 𝐒𝐢𝐦𝐮𝐥𝐚𝐭𝐢𝐨𝐧 𝐚𝐧𝐝 𝐑𝐞𝐚𝐥𝐢𝐭𝐲  𝐼𝑛𝑠𝑖𝑔ℎ𝑡𝑠 𝑏𝑦 Yee Wei Loh, 𝐴𝑠𝑠𝑖𝑠𝑡𝑎𝑛𝑡 𝐷𝑖𝑟𝑒𝑐𝑡𝑜𝑟, 𝑆𝘔𝐼 𝗪𝗵𝗮𝘁 𝗶𝘀 𝘁𝗵𝗶𝘀 𝘁𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝘆? 💠A Digital Twin (DT) framework for Maritime Unmanned Systems (MUS) such as autonomous underwater vehicles. A Digital Twin is a real-time digital replica of a physical system, continuously fed by sensor data and simulation models to mirror the physical asset’s state and behaviour. 💠It serves as a bridge between simulation and the real world, enabling operators to visualise, monitor, and predict the performance of underwater vehicles even when communications are limited.  💠Built by collecting data from sensors on the physical asset and using it to create a dynamic digital model. 💠Developed and tested a DT prototype during live exercises, integrating real and simulated assets, advanced data fusion, and interoperability protocols to enhance situational awareness, mission planning, and risk reduction. This living, up-to-date model acts as a bridge between the physical and digital worlds, allowing for continuous monitoring, analysis, and simulation. 𝗪𝗵𝗮𝘁 𝗱𝗼𝗲𝘀 𝘁𝗵𝗶𝘀 𝘁𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝘆 𝗺𝗲𝗮𝗻? This technology is revolutionising the maritime sector by improving efficiency, safety, and sustainability. ✅𝗣𝗿𝗼𝗮𝗰𝘁𝗶𝘃𝗲 𝗠𝗮𝗶𝗻𝘁𝗲𝗻𝗮𝗻𝗰𝗲: Digital twins predict potential equipment failures before they happen, moving maintenance from reactive to proactive and reducing costly downtime. ✅𝗢𝗽𝗲𝗿𝗮𝘁𝗶𝗼𝗻𝗮𝗹 𝗢𝗽𝘁𝗶𝗺𝗶𝘀𝗮𝘁𝗶𝗼𝗻: By simulating different scenarios, such as new routes or port operations, digital twins help optimise performance, improve fuel efficiency, and reduce congestion. ✅𝗘𝗻𝗵𝗮𝗻𝗰𝗲𝗱 𝗦𝗮𝗳𝗲𝘁𝘆: The technology allows for the simulation of dangerous missions or extreme weather conditions in a safe, virtual environment, protecting both personnel and equipment. ✅𝗦𝗺𝗮𝗿𝘁𝗲𝗿 𝗗𝗲𝘀𝗶𝗴𝗻: Users can test and refine new ship designs or upgrades virtually, saving time and money on development. ✅𝗦𝘂𝘀𝘁𝗮𝗶𝗻𝗮𝗯𝗶𝗹𝗶𝘁𝘆: By analysing and optimising operations for reduced fuel consumption and emissions, digital twins are a key tool for achieving a greener maritime industry. ✅𝗦𝘁𝗿𝗮𝘁𝗲𝗴𝗶𝗰 𝗥𝗲𝗹𝗲𝘃𝗮𝗻𝗰𝗲: Positions maritime stakeholders (e.g. naval forces, port authorities, offshore operators) to adopt next-generation unmanned systems with higher confidence and lower risk. Link to the article in NATO Journal of Science & Technology, 2024: https://lnkd.in/gWrbzSRV For research collaboration discussion, email: [email protected] #SMI #Maritime #Tech #Trends #Insights 𝐼𝑚𝑎𝑔𝑒:  𝐷𝑇 5 𝐷𝑖𝑚𝑒𝑛𝑠𝑖𝑜𝑛𝑎𝑙 𝑐𝑜𝑛𝑐𝑒𝑝𝑡𝑢𝑎𝑙 𝑚𝑜𝑑𝑒𝑙 (Source: Maglione, G., Solarna D., et al, 2024)

𝑴𝒂𝒓𝒊𝒕𝒊𝒎𝒆 𝑷𝒖𝒍𝒔𝒆: 𝑻𝒆𝒄𝒉 & 𝑻𝒓𝒆𝒏𝒅𝒔 𝐓𝐮𝐫𝐧𝐢𝐧𝐠 𝐒𝐡𝐢𝐩𝐬 𝐢𝐧𝐭𝐨 𝐒𝐦𝐚𝐫𝐭 𝐎𝐜𝐞𝐚𝐧 𝐒𝐞𝐧𝐬𝐨𝐫𝐬 𝐼𝑛𝑠𝑖𝑔ℎ𝑡𝑠 𝑏𝑦 𝐷𝑟 Xinwei Chen, 𝐷𝑒𝑝𝑢𝑡𝑦 𝐸𝑥𝑒𝑐𝑢𝑡𝑖𝑣𝑒 𝐷𝑖𝑟𝑒𝑐𝑡𝑜𝑟, 𝑆𝘔𝐼 𝗪𝗵𝗮𝘁 𝗶𝘀 𝘁𝗵𝗶𝘀 𝘁𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝘆? 💠𝗪𝗮𝘃𝗲 𝗕𝘂𝗼𝘆 𝗔𝗻𝗮𝗹𝗼𝗴𝘆 (𝗪𝗕𝗔) – a method to estimate ocean waves by using ships themselves as “sailing wave buoys.”  💠Instead of deploying traditional buoys, the system 𝗽𝗿𝗼𝗰𝗲𝘀𝘀𝗲𝘀 𝘄𝗮𝘃𝗲-𝗶𝗻𝗱𝘂𝗰𝗲𝗱 𝘀𝗵𝗶𝗽 𝗿𝗲𝘀𝗽𝗼𝗻𝘀𝗲𝘀 (motions like heave, roll, pitch) 𝘁𝗼 𝗲𝘀𝘁𝗶𝗺𝗮𝘁𝗲 𝘁𝗵𝗲 𝗱𝗶𝗿𝗲𝗰𝘁𝗶𝗼𝗻𝗮𝗹 𝘄𝗮𝘃𝗲 𝘀𝗽𝗲𝗰𝘁𝗿𝘂𝗺. 𝗲𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲𝘀. 💠A 𝗵𝘆𝗯𝗿𝗶𝗱 𝗳𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸 is proposed, 𝗰𝗼𝗺𝗯𝗶𝗻𝗶𝗻𝗴 𝗽𝗵𝘆𝘀𝗶𝗰𝘀-𝗯𝗮𝘀𝗲𝗱 𝗺𝗼𝗱𝗲𝗹𝘀 (using ship transfer functions) 𝘄𝗶𝘁𝗵 𝗺𝗮𝗰𝗵𝗶𝗻𝗲 𝗹𝗲𝗮𝗿𝗻𝗶𝗻𝗴 to improve accuracy under real operating conditions. 𝗪𝗵𝗮𝘁 𝗱𝗼𝗲𝘀 𝘁𝗵𝗶𝘀 𝘁𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝘆 𝗺𝗲𝗮𝗻? ✅This technology 𝗲𝗻𝗮𝗯𝗹𝗲𝘀 𝗰𝗼𝘀𝘁-𝗲𝗳𝗳𝗲𝗰𝘁𝗶𝘃𝗲, 𝗿𝗲𝗮𝗹-𝘁𝗶𝗺𝗲 𝘄𝗮𝘃𝗲 𝗺𝗼𝗻𝗶𝘁𝗼𝗿𝗶𝗻𝗴 directly from ships, offering much denser spatial and temporal coverage than sparse buoys or satellites.  ✅For the maritime sector, 𝗶𝘁 𝘀𝘂𝗽𝗽𝗼𝗿𝘁𝘀 𝘀𝗮𝗳𝗲𝗿 𝗻𝗮𝘃𝗶𝗴𝗮𝘁𝗶𝗼𝗻, 𝗼𝗽𝘁𝗶𝗺𝗶𝘀𝗲𝗱 𝗳𝘂𝗲𝗹 𝘂𝘀𝗲, 𝗿𝗲𝗱𝘂𝗰𝗲𝗱 𝗲𝗺𝗶𝘀𝘀𝗶𝗼𝗻𝘀, 𝗮𝗻𝗱 𝗯𝗲𝘁𝘁𝗲𝗿 𝗶𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻 𝘄𝗶𝘁𝗵 𝘄𝗶𝗻𝗱-𝗮𝘀𝘀𝗶𝘀𝘁𝗲𝗱 𝗽𝗿𝗼𝗽𝘂𝗹𝘀𝗶𝗼𝗻. For example, decision support systems can incorporate such technology to warn against the risk of being in dangerous situations where large motions or parametric roll can lead to loss or damage of cargo. ✅For broader society, 𝗶𝘁 𝘀𝘁𝗿𝗲𝗻𝗴𝘁𝗵𝗲𝗻𝘀 𝘄𝗲𝗮𝘁𝗵𝗲𝗿 𝗮𝗻𝗱 𝗰𝗹𝗶𝗺𝗮𝘁𝗲 𝗺𝗼𝗱𝗲𝗹𝗶𝗻𝗴 𝗯𝘆 𝗽𝗿𝗼𝘃𝗶𝗱𝗶𝗻𝗴 𝗿𝗶𝗰𝗵𝗲𝗿 𝗱𝗮𝘁𝗮 𝗼𝗻 𝗮𝗶𝗿-𝘀𝗲𝗮 𝗶𝗻𝘁𝗲𝗿𝗮𝗰𝘁𝗶𝗼𝗻𝘀, and it could form a global network of “smart ships” contributing to both safety and climate science. Link to the article in Scientific Reports, 13, Article number: 17342 (2023): https://lnkd.in/gvEtmaGk For research collaboration discussion, email: [email protected] #SMI #Maritime #Tech #Trends #Insights 𝐼𝑚𝑎𝑔𝑒 (𝑆𝑜𝑢𝑟𝑐𝑒: 𝑁𝑖𝑒𝑙𝑠𝑒𝑛, 𝑈.𝐷., 𝐵𝑖𝑛𝑔ℎ𝑎𝑚, 𝐻.𝐵., 𝐵𝑟𝑜𝑑𝑡𝑘𝑜𝑟𝑏, 𝐴.𝐻. 𝑒𝑡 𝑎𝑙., 2023): Sketch of the wave buoy analogy (WBA), alluding to frequency-domain frameworks.