驰骋深蓝铸重器 智管远航启新程

Core Viewpoint - The successful completion of the "Xiangyanghong 18" research vessel's mission marks a significant milestone in China's marine scientific research capabilities, showcasing advancements in management and operational efficiency over the past decade [10][24]. Group 1: Achievements and Contributions - The "Xiangyanghong 01" and "Xiangyanghong 18" vessels have collectively completed over 100 missions, accumulating more than 3,900 days at sea and covering over 570,000 nautical miles, achieving zero accidents and zero pollution [25]. - The vessels have played a crucial role in various scientific investigations, including deep-sea hydrothermal sulfide and cold spring surveys, sediment sampling, and underwater exploration, providing valuable data and samples for national and international research [25][26]. - The "Xiangyanghong 01" vessel set new records for sediment core sampling lengths, achieving 20.97 meters in 2021, 25.45 meters in 2022, and 25.81 meters in 2023, significantly enhancing China's capabilities in deep-sea geological research [17][26]. Group 2: Technological and Operational Innovations - The vessels serve as "mobile laboratories," equipped with advanced technology for in-situ sampling and observation, enabling comprehensive data collection across various marine disciplines [12][13]. - The introduction of a modern management system has transformed the operational focus from merely ensuring navigation to empowering scientific research, enhancing efficiency and safety [19][23]. - The integration of a digital platform for real-time management of vessel operations has improved maintenance and emergency response capabilities, transitioning from experience-based to data-driven decision-making [20][23]. Group 3: Future Directions and Strategic Goals - The research vessels will continue to support national strategic needs by participating in major projects, expanding the scope and depth of global scientific exploration, and contributing to international marine governance [27]. - The management system will evolve towards greater precision and intelligence, incorporating AI and big data technologies for improved decision-making in equipment maintenance and risk management [27]. - The focus will remain on training a high-quality, multidisciplinary talent pool to ensure the efficient operation of research vessels and support ongoing scientific endeavors [27].