This dissertation addresses three key challenges in heterogeneous - system based real - time data processing : real - time scheduling , simulation - based verification for real - time scheduling and visualization of real - time data . the effectiveness of the solutions is verified by their application to air - borne sar high - resolution real - time imaging system . a hierarchical scheduling framework and a hierarchical scheduling model for real - time heterogeneous systems are first presented 本文主要研究基于异构系统的实时数据处理中的三个关键问题：实时异构系统的调度、实时异构系统调度的仿真验证和实时数据的可视化，并将这三个方面的研究结果应用在机载sar高分辨率实时成像系统中。
3 ) discuss real - time data manipulate in power unit and definition of data accessing component interface ; design and realize distributed real - time database system in power unit ; realize heterogeneous data mutual - operation based on com / dcom with delphi ; analyze security in power unit data processing . through the research of this project , having accumulated experience for designing platform of distributed heterogeneous data real - time manipulate 探讨了电力生产运行实时数据操纵及数据访问组件接口定义；深入分析了电厂分布式实时数据库系统的设计与实现；探讨了基于com dcom的异构数据互操作的程序实现过程及应用实例；分析了电力生产运行实时数据处理的安全性。
Dynamic models and measurement models of real - time data processing and post - flight data processing are given respectively . based on kalman filtering , two improved kalman filtering algorithms are obtained , which correspond to different demand of real - time data processing and post - flight data processing 分别给出了在实时数据处理和事后数据处理中动力学模型和测量模型,根据kalman滤波思想,针对实时处理和事后处理的不同要求,得出对应的两个改进的kalman滤波算法。
