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摘要: 动态系统的实时安全性评估在防止潜在安全事故导致重大损失方面发挥着关键作用. 随着系统功能和复杂性的日益增加, 实时安全性评估技术面临着更大的挑战. 该文阐述了动态系统实时安全性评估的概念定义, 从环境的平稳性及评估模型的构建方式两个维度出发提出了一种分类框架, 给出了相应的问题描述, 较系统地回顾了动态系统实时安全性评估技术的现有进展, 讨论了针对不同实际系统的部署策略, 分析了现有技术的发展趋势, 探讨了实时安全性评估中亟待解决的问题与未来的发展方向.Abstract: Real-time safety assessment (RTSA) of dynamic systems plays a critical role in preventing losses from potential safety incidents. As the complexity of systems and operational environments increases, the development of effective RTSA technologies is faced with greater challenges. In this paper, the conceptual definition of RTSA of dynamic systems is elucidated. A taxonomy is introduced based on two dimensions: the stationary properties of the environment and the construction methods of assessment models, along with detailed problem descriptions. Existing safety assessment technologies and discusses deployment strategies for different practical systems are systematically reviewed. We then analyze the developmental trends of current technologies and explore the pressing issues and future directions in RTSA.1)
1 1 在Electropedia中, 风险性被定义为危害发生的概率与该危害的严重性之间的结合关系[39], 该定义更加侧重于描述危害发生的可能性与危害的严重性之间的共同作用. 在系统工程领域, 风险分析通常被建模为危害发生的概率与危害严重性的量化之间的函数关系[40]. 对于一些非实时的应用场景, 风险性可以被视为与安全性相似的概念[41-43]. 本文侧重于讨论动态系统的实时安全性评估技术.2)2 2 在一些文献中也被称作障碍验证 (Barrier certificates).3)3 3 在一些文献中也被称之为系统健康状态 (Health State).4)4 4 该类技术在一些文献中又被称之为基于状态监测的安全性评估 (Condition monitoring-based safety assessment, CMBSA) 或基于状态监测的风险评估 (Condition monitoring-based risk assessment, CMBRA)[14].5)5 5 依据第1.3节所描述的定义, 使用风险模型进行评估但未使用状态监测数据的方法, 不属于本文所重点讨论的范畴.6)6 6 自20世纪中后期以来, 道路安全评估方法 (Road Safety Assessment) 取得了一定的成功[212, 213], 由于其在整体上依赖于对事故数据的分析, 而非基于系统测量进行分析, 因此不在本文中重点讨论.7)7 7 参见引言, 其与动态安全性评估 (Dynamic Safety Assessment, DSA) 技术在存在本质区别. -
图 1 不同学术概念对应的示意场景: 以无人机飞行过程为例
Fig. 1 Illustrative scenarios corresponding to different academic concepts: A case study of UAV flight processes
图 2 动态系统实时故障诊断与实时安全性评估示意图
Fig. 2 Schematic diagram of real-time fault diagnosis and real-time safety assessment for dynamic systems
图 3 动态系统的实时安全性评估方法分类示意图
Fig. 3 Schematic diagram of the taxonomy of real-time safety assessment approaches for dynamic systems
图 4 不同安全威胁对应的安全性等级示意图: 以深潜器为例
Fig. 4 Schematic diagram of safety levels corresponding to different safety threats: a case study of a DSMS
图 5 分类讨论逻辑结构示意图
Fig. 5 Schematic diagram of the logical structure for categorized discussion
表 1 几类相关概念在国家军用系列标准下的描述及主要侧重角度
Table 1 Descriptions and key focuses of several related concepts under national military standards
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表 2 经典安全性评估方法与实时安全性评估方法的概念辨析
Table 2 Conceptual analysis of classical safety assessment approaches and real-time safety assessment approaches
经典安全性评估 实时安全性评估 先验知识需求 较多 较少 计算资源需求 较少 较多 主体适用对象 系统级 部件级 主要侧重阶段 方案设计阶段 使用保障阶段 典型应用领域 核能、航空航天 电力、工程结构 现有理论成果 较多 较少 应用价值 较高 较高
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表 3 不同环境条件下实时安全性评估方法的研究情况
Table 3 Research of real-time safety assessment approaches under different environmental conditions
所依据的主要理论体系 平稳环境 非平稳环境 状态空间 极多 极少 风险模型 较少 较多 专家系统 较多 较少 统计学习 较多 较多 深度学习 极多 极少 信号处理 多 少
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表 4 不同环境条件下实时安全性评估方法的研究情况
Table 4 Considerations of real-time safety assessment approaches under different environmental conditions
平稳环境 非平稳环境 是否利用系统输入输出 是 是 系统特性变化 较少 较多 更新能力需求 低 高 外部因素影响程度 低 高 问题困难程度 较低 较高 实际应用范围 较小 较大 评估模型稳定性 较高 较低 决策反馈要求 低 高 现有理论成果 较多 较少
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表 5 几类典型动态系统在实时安全性评估框架下的现有进展
Table 5 Current advances in real-time safety assessment frameworks for several typical dynamic systems
系统对象 参考文献 平稳环境下显式分析方法 平稳环境下隐式分析法 非平稳环境下显式分析法 非平稳环境下隐式分析法 工程结构系统 [159−163] [74, 84−85, 94−95, 107−108, 154−158] [126, 129, 164−166] [200, 202] 交通系统 [21, 170] [167−169] [172−173] [150−153, 171] 电力系统 [178] [80−82, 86, 88, 91−93, 96−97, 174−177] [135, 136−140] [143−149, 201] 核能发电系统 [19, 180−181] [179] [34, 36, 127, 132, 137, 139, 183] [182] 化工系统 [187−188] [184−186] [44, 130−131] [189] 航空航天系统 [79, 191−193] [190] [37, 128, 195] [194]
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