基于复杂空间关系理论的应急决策信息提取研究

Research on the emergency decision-making information extraction using theory of complex spatial relationship

传统的基于2维空间的拓扑关系无法满足突发事件应急决策过程中的空间信息提取和推理,本文针对该问题研究城市突发事件应急决策过程中空间实体对象之间的复杂空间关系理论,基于现有模型基础,设计了复杂空间关系定性表达模型,改进了空间拓扑关系判断算法及城市应急决策信息提取模型.以地震中滑坡次生灾害应急决策信息提取为例,与传统信息提取模型、基于RCC8的信息提取模型对比分析,验证了本文研究理论的科学性和有效性.

Emergency decision-making mining must consider complex spatial relationship between the geographic entities, but the integrity and accuracy of the mining results may not be guaranteed based on the traditional spatial 2D topological relations. In this paper, the algorithm of decision-making information mining was studied. Based on the expanded topological relations, the traditional information mining algorithms were improved. This paper expands the theory of traditional information extraction methods to solve the theoretical and technical problems, which provides a support for the scientific and reasonable emergency decision-making. Compared with the traditional information extraction model and RCC-8 model, this case study demonstrates the feasibility and effectiveness of the decision-making information mined from this study.