机场抢修辅助决策知识图谱构建研究
Research on the Construction of Knowledge Graph for Airport Emergency Repair Decision Support

针对民用机场道面突发损毁应急处置流程复杂、决策效率低的问题，本文构建了机场抢修辅助决策知识图谱。研究基于有限状态机理论，将应急处置过程抽象为状态识别、转移与恢复的逻辑模型，定义了人员、设备、环境及管理等核心要素的状态演变机制。通过设计包含实体、关系及约束规则的图谱模式层，实现了抢修领域知识的结构化表达。
To address the complex emergency response processes and low decision-making efficiency in dealing with sudden damage to civil airport runways, this paper constructs a knowledge graph for auxiliary decision-making in airport repair. Based on the finite state machine theory, the study abstracts the emergency response process into a logical model of state recognition, transfer, and recovery, defining the state evolution mechanisms of core elements such as personnel, equipment, environment, and management. By designing a graph pattern layer containing entities, relationships, and constraint rules, the study achieves a structured representation of knowledge in the repair domain.