Track Ⅹ
Intelligent and Sustainable Maritime Operations
(智能可持续海运)
Chair: | Co-chair: |
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Yongqiang Zhuo | Xinjian Wang |
Guangzhou Maritime University, China | Dalian Maritime University, China |
Keywords: | Topics: |
· Maritime Operation (海运操作) · Maritime Safety (海事安全) · Green Shipping (绿色航运) · Intelligence Technology (智能技术) · Human-Machine Collaboration (人机交互) | · Advances in Marine System and Shipping Safety, Risk and Reliability (航运和船舶系统安全、风险和可靠性的新进展) · Human-Machine Collaboration in Maritime Operations (海运操作的人机协同) · Digital Twins for Ship Design, Maintenance, and Operational Efficiency (船舶设计、维护和操作效率的数字孪生) · Predictive Analytics for Equipment Maintenance and Failure Prevention (设备维护和失效预防的预测性分析) · Green Technology in Ship Operation and Management (船舶操作和管理的绿色技术) · Autonomous and Semi-Autonomous Vessel Technologies (自主和半自主船舶技术) · Cybersecurity Strategies for Maritime Digital Infrastructures (船舶数字设施的网络安全策略) · Big Data Analytics and its Impact on Maritime Sustainability (大数据分析及其对海运可持续性的影响) · Environmental Impact Reduction of Shipping Through Digital Innovations (数字创新减少航运环境影响) |
Summary:
· The integration of AI into maritime operations offers a wide range of possibilities, from optimizing shipping routes, reducing fuel consumption, and enhancing predictive maintenance, to automating administrative and operational processes. Additionally, digital transformation introduces new capabilities, such as advanced data analytics, digital twins that allow for real-time monitoring, decision-making, and risk management. These technologies not only enhance operational capabilities but also contribute significantly to the sustainability of maritime activities by reducing environmental impacts and supporting greener shipping initiatives.
· 将人工智能融入海运操作领域带来了诸多可能性，包括优化航运路线、降低燃料消耗、加强预测性维护，以及实现管理和运营流程的自动化。此外，数字化转型带来了新的功能，例如先进的数据分析、能够进行实时监测、决策和风险管理的数字孪生模型。这些技术不仅提升了作业能力，还通过减少对环境的影响以及支持更环保的航运举措，对海洋活动的可持续性做出了重要贡献。
Submission Deadline: 2025.8.31