浮式生产储卸油装置(FPSO)在海洋石油工业中担任的角色举足轻重，FPSO设备运行稳定直接关系到生产安全。然而，其设备长期处于复杂海洋环境，远离陆地，短时间内没有外部技术支持。维修人员完全依靠自己的知识储备和经验进行设备的维修保养，其维修工作面临着诸多挑战。针对FPSO设备维修的特点与需求，结合人工智能技术发展现状，深入研究开发FPSO设备维修人工智能辅助系统。该系统通过数据采集、故障诊断、维修方案推荐、预测性维护及知识管理等模块，提高维护效率、降低成本、保障设备安全稳定运行，推动FPSO智能化发展。

Floating production storage offloading (FPSO) plays a crucial role in the offshore oil industry， and the stable operation of FPSO equipment is directly related to production safety. However， its equipment has been in a complex marine environment for a long time， far away from land and without external technical support for a short period of time. Maintenance personnel rely entirely on their own knowledge reserves and experience to carry out equipment maintenance， and its maintenance work faces many challenges. Based on the characteristics and requirements of FPSO equipment maintenance， combined with the current development status of artificial intelligence technology， we will conduct in-depth research and development of an artificial intelligence assisted system for FPSO equipment maintenance. The system aims to improve maintenance efficiency， reduce costs， ensure safe and stable operation of equipment， and promote the intelligent development of FPSO through modules such as data collection， fault diagnosis， repair plan recommendation， predictive maintenance， and knowledge management.