本项目以时空大数据为背景和切入点，在现有全球离散格网技术、时间编码技术、时空关系计算技术等的基础上，开展基于整型定位计数系统的时空多尺度编码代数方法的研究，丰富时空剖分处理和时空大数据挖掘理论体系。项目研究将引入合适的数学工具严格描述从一维到多维的多尺度整型定位计数系统，支持单进制和变进制的时空离散编码计算，针对特定的全球离散格网系统和时间表达模式形成有针对性的空间编码代数方法和时间编码代数方法，将现有格网离散编码及其基础运算进行二进制位操作改造，形成算法复杂度较浮点算法更低的整型时空分析算法，为构建离散格网的完备编码代数理论体系打下基础，并能够支持典型应用案例时空大数据的信息挖掘与知识发现。该项目的研究，可以为相关大数据领域，如智能交通、POI分析、互联网安全、空间统计等时空大数据的挖掘和应用探索一条可供借鉴的研究思路。

With the backdrop of space big data, this research developed a space multi-scale code algebraic method in integral positional number system based on the discrete global grid systems(DGGS), time coding technology, space relationship compete technology and so on, to enrich the special division management and special big data mining theory system. This research will lead into a appropriate mathematical tool to describe the multi-scale integral positional number system from one-dimension to multi-dimensions to support single binary system and multi binary system special discrete code calculation, to form a targeted special code algebraic method against the particular DGGS, to transform current discrete grid code and its basic operations to the binary system, and to develop an integral special analysis method with its algorithm less complexity. It would make a foundation for formulating completeness code algebraic theory system of discrete grid, and support the typical case “information mining and knowledge discovery of special big data”. This research will offer a referential method for the big data area, such as intelligence traffic, POI analyses, internet safety, special big data mining and application of statistics and so on.