【摘要】 在大型LED光调度系统中,圆形LED阵列一般以光斑散色的大数据形式分布,其中异常散色数据的存储过程开销较大。为此,设计一种改进的LED光斑异常散色数据的云存储模型。首先分析了光斑异常散色数据存储构架,进行数据结构分析,以此为基础形成自适应波束,降低数据存储负荷,优化构建数据的云存储模型,由此实现降低存储冗余。最后通过仿真实验进行性能测试,展示了该方法的优越性能,得出有效性结论。更多还原

【Abstract】 In large LED light scheduling system,round LED array are usually distributed as big data of spot dispersion.But the storage process of abnormal dispersion data is overhead.Therefore,an improved cloud storage model of LED abnormal dispersion spot data is designed.First analyze the storage architecture of abnormal dispersion spot data,analysis the data structures.based on this,generate adaptive wave beam to reduce the data storage load.Optimize the cloud storage model for constructing data to realize reducing storage redundancy.Finally,complete simulation to test performance,which shows the superior performance of this method,and find out effective conclusions.更多还原