《海洋预报》| 陆地和海洋站点网格数据融合与快速服务技术

摘要：为解决陆地和海洋站点与网格数据融合及数据服务过程中存在的信息技术难题，以浙江省为例，对全省5 000余个地面自动站、2个海洋浮标站以及智能网格产品开展分析研究。梳理数据服务特征，将网格化融合算法分成36类；采用镜像容器技术，服务端根据负载情实现况自动弹性伸缩，快速读取站点和网格数据；基于多进程多线程混合编程，结合分块和K维树查询技术，实现站点数据快速质控，并完成与网格产品的数据融合；采用管道式设计异步事件响应流程，通过算法串并联自由编排形成新任务；构建算法准入评估模型，从算法处理能力、稳定性、资源利用率、耦合度等方面进行评估。

关键词：海洋浮标 数据融合 串并联 容器 评估

Abstract：In order to solve the information technology problems existing in the process of data fusion and data service between land ocean stations and grids, taking Zhejiang Province as an example, data from more than 5 000 ground meteorological automatic stations, 2 ocean buoy stations and intelligent grid products are studied. The characteristics of data services are analyzed, and the grid fusion algorithm is divided into 36 categories; Using the image container technology, the server automatically scales the capacity according to the load usage, and quickly reads the site and grid data; Based on multi-process and multi-thread mixed programming, block and KDimensional Tree(KD tree) query technology, the site data is quickly quality controlled and fused with grid products; Based on the asynchronous event response flow route of pipeline design style, the algorithm is freely arranged in series and parallel to form a new task; An algorithm admission evaluation model is designed to evaluate the processing capacity, stability, resource utilization and coupling of the algorithm.

Key words：ocean buoy; data fusion; series-parallel connection; container; evaluation

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