地震前兆混合观测数据协同与集成技术研究

Research on Coordinative Fusion and Uniform Integration for Earthquake Precursor Hybrid Data

由于其开放性以及区域自治性,地震前兆观测网中的观测数据的集成在效率与适应性方面遇到问题。系统在访问过程中需要在混合模型异质数据融合的基础上实现统一提取。围绕这一问题,该文开展深入研究,借鉴视图模型,通过三级映射关系实现集成模型与基础数据混合模型中特征子集之间的协同组织。通过这一方法,保证分布异构数据之间的协同组织,使地震前兆观测网中基础数据资源形成一个有机的整体;在这一研究的基础上面向地震前兆观测网构建数据统一访问平台,满足地震前兆观测数据统一组织与管理的要求。

Due to openness and autonomy, Earthquake Precursor Data Management System（EPDM） is troubled by efficiency and adaptability. The system needs to retrieve data through fusing heterogeneous data among hybrid models. For the problem, the paper introduced an approach to address the issue. In the approach, the relation of integrated data model and primary data hybrid models＇ feature subset is presented by a 3-layered view. Through the approach, the primary data of EPDM is organized as whole. Upon the approach, a data integration platform is built and serves for earthquake precursor data＇s organization and management.