DeepSeek驱动航标设施巡检维护的智能化转型研究OA
Intelligent Transformation of Aids to Navigation Inspection and Maintenance Driven by DeepSeek
传统的航标设施维护工作更多基于工作人员的经验判断后进行人工巡检,这种工作方式存在工作量大、误差率高、效率慢等问题.在此背景下,以"本地化部署"和"多场景应用"两大方向,探索DeepSeek在航标设施维护领域的常规应用方式.通过构建"航标设施维护流程图+航标设施知识图谱+动态知识更新"的智能决策框架,结合"航保运行系统+北斗实时检测系统",旨在实现从"经验决策"到"智能决策",助力推动更高水平的服务保障.
Conventional inspection and maintenance of aids to navigation(AtoN)facilities mainly rely on manual field inspection based on inspectors'empirical judgment,which is plagued by heavy workload,high error rate and low operational efficiency.Against such a backdrop,this paper explores the conventional application paths of DeepSeek in AtoN maintenance centering on local deployment and multi-scenario application.By establishing an intelligent decision-making framework consisting of AtoN maintenance flowcharts plus knowledge graphs with dynamic knowledge updating,and integrating the navigation guarantee operation system with the Beidou real-time monitoring system,the study realizes the shift from experience-based decision-making to intelligent decision-making and helps elevate the comprehensive support capacity of navigation service.
王长鑫;曹世杰;郭强
北海航海保障中心天津航标处,天津 300456北海航海保障中心天津航标处,天津 300456北海航海保障中心天津航标处,天津 300456
交通工程
DeepSeek航标设施巡检维护人工智能
DeepSeekinspection and maintenance of aids to navigation facilitiesartificial intelligence
《中国海事》 2026 (6)
48-50,3
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