基于血缘图模型的气象数据监控研究与实现

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摘要气象数据种类繁多且流程复杂,为了保证数据的及时性和完整性,快速定位数据流程故障十分重要。文章以气象数据及流程为研究对象,提出了一种血缘图模型,用于描述气象数据的来源与去向;基于血缘图模型提出了一种多频红黑树算法,用于管理监控任务。在广东省气象网的数据监控中,运用血缘图模型与红黑树算法,开发了一套血缘图监控系统,旨在为数据管理人员提供帮助,提高数据异常告警及时性及故障定位及时性。

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	黄伟
	阮惠华
	乔文文
	黄宇宸
	陈逸智

关键词 ：气象数据, 血缘图, 多频红黑树

Abstract：There are various types of meteorological data and complex processes.In order to ensure the timeliness and completeness of the data,it is very important to quickly locate data flow faults.The article takes meteorological data and processes as the research object,and proposes lineage model to describe the source and destination of meteorological data.A multi-frequency red black tree algorithm based on the lineage model is proposed for managing monitoring tasks.In the data monitoring of Guangdong Provincial Meteorological Network,a blood relationship graph model and red-black tree algorithm were used to develop a lineage model monitoring system,aiming to provide assistance to data management personnel and improved the timeliness of data anomaly alarms and fault location.

Key words： meteorological data lineage model multi-frequency red-black tree

收稿日期: 2023-03-10

ZTFLH:

TP319

基金资助:广东省气象局省级课题“业务网数据监控技术研究”(2018)资助。

作者简介: 黄伟(1989—),男,硕士,工程师。主要从事软件开发工作。

引用本文:

黄伟, 阮惠华, 乔文文, 黄宇宸, 陈逸智. 基于血缘图模型的气象数据监控研究与实现[J]. 气象水文海洋仪器, 2024, 41(6): 20-23. Huang Wei, Ruan Huihua, Qiao Wenwen, Huang Yuchen, Chen Yizhi. Research and implementation of meteorological data monitoring based on lineage model. Meteorological Hydrological and Marine Instrument, 2024, 41(6): 20-23.

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