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多格式气象报文数据实时解析研究与应用 被引量:2

Multi-format real-time meteorological data analysis and application
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摘要 气象实时数据不仅是气象短时预报的基础,也是对气象灾害进行有效监控、预报、预警、评估的主要数据。气象报文种类多且报文格式各不相同,气象报文数据解析、清理及筛选非常复杂且灵活性差,实时查询非常慢。为此研究报文统一解析技术和数据流处理技术设计,并实现一个实际中安全的、可行的、快速的、灵活的气象实时数据采集系统。 Real-time meteorological data is not only the basis of short-term meteorological forecasts, but also the key data to effectively monitor, forecast, early warn, and assess meteorological disasters. There are many kinds of meteorological messages and their formats vary. As the analysis, cleaning and screening of meteorological data is very complex and inflexible, real-time query is very slow. This paper mainly studied unified message analytical technology and data stream processing technology to design and implement a real safe, feasible, fast, flexible, real-time meteorological data acquisition system.
作者 陈欢 谢健
出处 《计算机应用》 CSCD 北大核心 2012年第A01期109-110,113,共3页 journal of Computer Applications
关键词 气象报文 气象实时数据 报文统一解析 数据流处理 meteorological message real-time weather data unified message analysis data stream processing
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参考文献8

  • 1中国气象局.地面气象观测数据文件和记录薄表格式[M].北京:中国气象局,2004.
  • 2中央气象局.全国地面气象资料信息化基_本模式[s].北京:中央气象局,1978.
  • 3《湖南省气象志》编纂委员会.湖南省气象志[M]. 北京:气象出版社,2008.
  • 4高华云.不规范报文格式引发信息处理负效应[J].气象科技,2006,34(B09):57-60. 被引量:3
  • 5高华云.浅析不规范报文格式所引发的信息处理负效应[M].北京:国家气象局信息中心,2005.
  • 6刘景春,王永利.数据流处理技术[J].佳木斯大学学报(自然科学版),2004,22(4):556-560. 被引量:5
  • 7武珊珊,于戈,吕雁飞,谷峪,李晓静.数据流处理中确定性QoS的保证方法[J].软件学报,2008,19(8):2066-2079. 被引量:5
  • 8CHAKRAVARTHY S, JIANG Q C. Stream data processing: a qual- ity of service perspeetive[M]. Berlin: Springer, 2008:1-52.

二级参考文献35

  • 1R. Motwani, J. Widom, A. Arasu, B. Babcock, S. Babu, M. Datar, G. Manku, C. Olston, J. Rosenstein, R. Varma. Query Processing, Approximation,and Resource Management in a Data Stream Management System[ C]. In Proc. Conf. on Innovative Data Syst. Res, 2003,
  • 2S. Chandrasekaran, O. Cooper,A. Deshpande, M. J. Franklin, J. M. Hellerstein, W. Hong, S. Krishnamurthy,S. Madden, V. Raman, F. Reiss, M. Shah. TelegraphCQ: Continuous Dataow Processing for an Uncertain World[C]. In Proc. Conf. on Innovative Data Syst. Re
  • 3D.Carney, U. Cetintemel, M. Chemiack, C. Convey, S. Lee, G. Seidman, M. Stonebraker, N. Tatbul,S. Zdonik. Monitoring streamslA New Class of Data Management Applications[C]. In Proc. Int. Conf. On Very Large Data Bases, 2002, pp. 215- 226.
  • 4Y.Chen, G. Dong, J. Han, B. W. Wah, J. Wang. Multi - Dimensional Regression Analysis of Time- Series Data Streams[ C]. In Proc. Int.Conf. On Very Large Data Bases, 2002, pp. 323- 334.
  • 5C.Cranor, Y. Gao, T. Johnson, V. Shkapenyuk, O. Spatscheck. GigaScope: High Performance Network Monitoring with an SQL Interface[C]. In Proc. ACM Int. Conf. On Management of Data, 2002, p. 623.
  • 6B.Babcock, S. Babu, M. Datar, R. Motwani, J. Widom. Models and Issues in Data Streams[J]. In Proc. ACM Symp. On Principles of Database Systems, 2002, pp. 1- 16.
  • 7J. Chen, D. DeWitt, F. Tian, Y. Wang. NiagaraCQ:A Scalable Continuous Query System for Intemet Databases[C]. In Proc. ACM Int. Conf. On Management of Data, 2000, pp. 379 - 390.
  • 8M.Cherniack, H. Balakrishnan, M. Balazinska, D. Gamey, U. Cetintemel, Y. Xing, S. Zdonik. Scalable Distributed Stream Processing[C]. In Proc. Conf. On In - novative Data Syst. Res, 2003.
  • 9P. Bonnet, J. Gehrke, P. Seshadri. Towards Sensor Database Systems[ C]. In Proc. Int. Conf. on Mobile Data Management, 2001, pages 3 - 14.
  • 10Y. Yao and J. Gehrke. Query Processing for Sensor Networks[C]. In Proc. Conf. on Innovative Data Syst. Res, 2003, pp. 233-244.

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