随着舰船航行环境复杂化，传统安全系统因自动化不足、可靠性弱等问题亟待解决。本文提出基于PLC的4层架构方案，通过设备层多维数据采集、控制层双冗余PLC实时处理、监控层智能诊断与管理层远程策略联动，构建全流程智能化体系。引入多智能体任务调度与LSTM、决策树算法，实现航行路径自动规划、设备故障预测及风险分级评估，驱动执行机构自动化响应。本文提出的分层架构设计方案显著提升系统可靠性与实时性，为复杂海况下舰船安全提供技术支撑。
With the complication of the navigation environment of ships, traditional safety systems urgently need to be solved due to problems such as insufficient automation and weak reliability. This study proposes a four-layer architecture scheme based on PLC. Through multi-dimensional data acquisition at the device layer, real-time processing by dual-redundant PLC at the control layer, intelligent diagnosis at the monitoring layer, and remote strategy linkage at the management layer, a full-process intelligent system is constructed. The multi-agent task scheduling and LSTM and decision tree algorithms are introduced to achieve automatic navigation path planning, equipment failure prediction and risk classification assessment, and drive the automatic response of the actuator. The hierarchical architecture design scheme proposed in this paper significantly improves the reliability and real-time performance of the system, providing technical support for the safety of ships under complex sea conditions.
2025,47(14): 169-172 收稿日期：2025-1-17
DOI：10.3404/j.issn.1672-7649.2025.14.026
分类号：TP391
基金项目：教育部产学合作协同育人项目（231107645094111）；教育部产学合作协同育人项目烟台科技学院计算机应用技术学科建设专项海洋物联网方向项目（YK-2025-1207）
作者简介：田辉辉(1985-),女,硕士,副教授,研究方向为智能装备关键技术
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