系统工程与电子技术 ›› 2026, Vol. 48 ›› Issue (7): 2307-2318.doi: 10.12305/j.issn.1001-506X.2026.07.16

• 系统工程 • 上一篇    

面向故障传播风险抑制的舰船电子信息系统动态重构方法

杨京礼1, 王莹1, 高天宇1, 方晓彤2   

  1. 1. 哈尔滨工业大学电子与信息工程学院,黑龙江 哈尔滨 150001
    2. 中国船舶集团有限公司综合技术经济研究院,北京 100081
  • 收稿日期:2025-06-30 修回日期:2025-10-15 出版日期:2026-03-20 发布日期:2026-03-20
  • 通讯作者: 高天宇

Dynamic reconfiguration method for shipboard electronic information systems for fault propagation risk suppression

Jingli YANG1, Ying WANG1, Tianyu GAO1, Xiaotong FANG2   

  1. 1. School of Electronics and Information Engineering,Harbin Institute of Technology,Harbin 150001,China
    2. Institute of Comprehensive Technical Economics,China State Shipbuilding Corporation,Beijing 100081,China
  • Received:2025-06-30 Revised:2025-10-15 Online:2026-03-20 Published:2026-03-20
  • Contact: Tianyu GAO

摘要:

针对新一代舰船电子信息系统动态重构策略忽视故障传播影响、可能导致系统可靠性下降的问题,提出一种融合故障传播风险评估的动态重构方法。首先,构建涵盖硬件资源、软件服务及其部署关系的系统形式化模型,提出量化系统可靠性的结构可靠性指标,以精准刻画系统部署关系对故障传播的影响。然后,在综合结构可靠性与负载均衡、迁移成本等关键运行指标的基础上,构建基于多目标协同优化重构模型,设计基于改进型价值分解网络的多智能体强化学习算法,实现故障传播抑制与系统重构效率的同步优化。实验结果表明,相较基准算法,所提方法能够有效抑制故障传播影响,可为重构舰船电子信息系统的可靠性保持与能力持续生成提供支撑。

关键词: 舰船电子信息系统, 动态重构策略, 故障传播模型, 多智能体强化学习

Abstract:

To address the issue that dynamic reconfiguration strategies for new-generation shipboard electronic information system overlook the impact of fault propagation, potentially leading to reduced system reliability, a dynamic reconfiguration method incorporating fault propagation risk assessment is proposed. Firstly, a formal system model is constructed encompassing hardware resources, software services, and their deployment relationships, and the structural reliability metrics is proposed to quantify system reliability, thereby accurately characterizing the impact of system deployment relationships on fault propagation. Then, based on key operational metrics such as comprehensive structural reliability, load balancing, and migration costs, a multi-objective collaborative optimization reconstruction model is constructed, and a multi-agent reinforcement learning algorithm based on an improved value decomposition network is designed to achieve synchronous optimization of fault propagation suppression and system reconstruction efficiency. The experimental results show that compared to the benchmark algorithm, the proposed method can effectively suppress the impact of fault propagation and provide support for the reliability maintenance and continuous generation of capabilities in the reconstruction of shipboard electronic information system.

Key words: shipboard electronic information system, dynamic reconfiguration strategy, fault propagation model, multi-agent reinforcement learning

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