劳氏船级社与创新咨询公司Thetius共同发布的最新报告显示，2022年海事行业将在人工智能（AI）解决方案上花费9.31亿美元。目前，人工智能已广泛应用于海事领域，支持自主航行、航程优化、船舶维护和监控等。此外，人工智能模型还可用于船舶污底管理。船舶污底是引发全球船队额外的燃料消耗和对应污染物排放的最大可预防原因。人工智能技术通过优化船体清洁计划，防止由过度清洁造成的涂层损坏或清洁不彻底引起的航行阻力增大，最终降低船舶运营成本并减少温室气体排放。

The maritime industry is forecast to spend $931 million on artificial intelligence (AI) solutions in 2022, according to a recent report published by Lloyd’s Register in cooperation with Thetius. There is a wide range of AI use cases in the maritime industry, including support of autonomous navigation, voyage optimization, as well as systems for supporting maintenance and monitoring of vessels. Also, AI models can be used to manage environmental factors like hull fouling. Hull fouling is the biggest preventable cause of excess fuel consumption and controllable GHG emissions in the worldwide shipping fleet. The AI technology creates a condition-based cleaning regime which optimizes hull cleaning schedules to prevent over cleaning and damage to coatings, or under cleaning creating excess resistance. Optimum cleaning regimes ultimately cut costs and reduce emissions.

Hull n.船体 

美 /hʌl/ 英 /hʌl/ 

起源于德语Hülse“壳”，在现代英语中引申为船体、船身。

Fouling n. (水管、枪筒等中的)污垢 

美 /faʊl/ 英 /faʊl/

Hull Fouling 船舶污底

Tips：船舶在海上航行时，大量的海洋生物往往会附着在船体上，如果不及时清理就会造成堆积，增大船舶在航行时的水流阻力，同时增加燃油消耗量，削弱船舶灵活性。此外，这些海洋生物还会加快船体的腐蚀速度。目前去除船体附着物有三种方式：

（1）入坞进行人工清除；

（2）在船体表面设置导电层或加热层，阻止附着；

（3）利用水下机器人清理。

Website Link：

https://www.offshore-energy.biz/maritime-industry-to-spend-931-mln-on-ai-solutions-in-2022/