Core Insights - The interest and support for unmanned navigation among ship captains indicate a proactive approach towards the transformation brought by artificial intelligence and autonomous navigation in the shipping industry [1] - The development of smart ships is a complex system engineering challenge involving technology, standards, regulations, business models, and industrial ecology, presenting both challenges and historical opportunities for the shipbuilding industry [1][2] - The global shipping industry faces multiple challenges, including supply chain restructuring, upgraded environmental regulations, and energy transition pressures, with digitalization and intelligence being key pathways to address these issues [1][2] Group 1: Technical Challenges - The complex marine environment significantly impacts ship operations, with factors like wind, waves, and currents testing the limits of ship structure and intelligent systems [2] - The shortage of crew members has made the integration of intelligent systems to supplement or partially replace human labor a necessity, especially given the communication difficulties during long-distance voyages [2] - Existing navigation tools have limitations that need to be addressed for a future of unmanned or highly automated navigation, highlighting the need for advancements in intelligent navigation systems [2][3] Group 2: Innovation and Collaboration - The development of smart ships requires collaboration across the entire industry chain, moving beyond individual shipyards or shipping companies [4] - The International Maritime Organization (IMO) is working on non-mandatory MASS (Maritime Autonomous Surface Ships) regulations to be finalized by 2026, with mandatory rules expected by 2028 and effective by 2032 [5] - China's involvement in the development of MASS regulations demonstrates a commitment to contributing to global standards and practices in smart shipping [5][6] Group 3: Human-Machine Integration - The ultimate goal of smart ships is not to create fully autonomous vessels but to find a balance between human and machine collaboration, where human roles evolve from traditional operators to system managers and decision-makers [7][8] - The design of intelligent ship systems must allow for seamless transitions back to human control in case of system failures or when operating outside defined parameters [7] - The transition from a human-centric to a human-machine collaborative approach in ship operations necessitates clear definitions of operational boundaries between humans and machines [7]
道阻且长 行则将至 业界共议智能船舶“未来航道”
Zhong Guo Zheng Quan Bao·2025-12-04 20:29