高频精细化气象格点数据实时处理系统设计与实现

以高频海量气象格点数据为研究对象，针对传统实时处理系统数据处理效率不高的问题，设计并实现了高频精细化气象格点数据实时处理系统的总体架构和业务流程，在分析海量高频次气象格点数据特点的基础上，设计和实现了符合气象业务需求的分布式存储模型；利用多通道动态感知技术实现了动态多通道的文件处理和文件到达的快速感知触发；利用实时数据快速处理技术实现基于精准位置寻址的快速数据块定位算法，进而实现数据块的精准定位；利用数据按需实时截取技术实现了在空间范围内按需进行裁剪的截取算法，进而实现数据按需抽取；实际业务应用表明，系统有效地提升了半结构气象数值预报产品数据的实时处理效率。

Design and Implementation of a High-Frequency Fine Meteorological Grid Data Real-Time Processing System

The overall architecture and operation flow of the high frequency refined meteorological grid data real time processing system are designed and implemented taking high frequency massive meteorological grid data as the research object, focusing on the low data processing efficiency of the traditional real time processing system. Based on the analysis of the characteristics of massive high frequency meteorological grid data, a distributed storage model is designed and implemented to meet the needs of the meteorological service. Multi channel dynamic sensing technology is used to implement dynamic multi channel file processing and fast sensing triggers of file arrival. The fast data block positioning algorithm based on accurate location addressing is implemented using real time data fast processing technology to realize the accurate positioning of data blocks. The data on demand real time interception technology is used to realize the interception algorithm, which can intercept the data on demand, and then realize the data on demand extraction. The practical application shows that the system can effectively improve the real time processing efficiency of unstructured meteorological data.