| With the rapid development of science and technology in China,various kinds of fresh meteorological observation equipment have been emerging in an endless stream,providing new methods,new technologies and new ideas for the meteorological observation business.In order to ensure that these types of meteorological observation equipment meet the standards of meteorological business when being run into the meteorological business system,it is necessary to carry out relevant tests and evaluation for these new observation equipment in advance.Only when reaching the assessment standards and requirements can the models be mass-produced.However,due to the fact that these types of equipment have not yet been fully finalized,there was a lack of uniform standards among various manufacturers,resulting in differences in data collection methods and file storage forms.In the past,the test and evaluation of meteorological equipment was performed manually,and the processing,calculation,and analysis of related data required plenty of manpower.With the types of meteorological observation equipment growing day by day,and the technology upgrade speeding up,the meteorological equipment test and evaluation business is urgently requiring to be reformed electronically and informationally.On the requirements of China Meteorological Administration's project "Comprehensive Platform for Testing and Evaluation of Meteorological Observation Equipment",this paper designed and developed a high-uniformity and high-efficiency integrated platform system which achieves the functions of data collection,quality control,data storage,processing flow and visualization for meteorological observation equipment test and evaluation business.Meanwhile,the system complies a comprehensive test and evaluation of new meteorological observation equipment in analyzing its completeness,accuracy,stability,reliability,consistency and comparability,which also provides basic services for testing and evaluation of relevant meteorological observation equipment of the Meteorological Observation Center of the China Meteorological Administration.This paper firstly introduces the relevant background of constructing comprehensive platform systems for testing and evaluation of meteorological observation equipment,and current status at home and abroad.Afterwards,we described the meteorological observation data,traditional quality control methods,and test and evaluation methods and other relevant theoretical techniques involved in the project.Different with business data,the observation data of the new meteorological observation equipment has no uniform specifications.Therefore,we firstly proposed a data quality control algorithm of BP neural network based on gray correlation analysis method,aiming at performing a standardized quality control on the observation data of the test equipment,which was also applied to the test and evaluation system of new observation equipment.Then,we performed requirements analysis of the whole system,and described the structural design requirements of the system,the functional requirements of each module,and the selection and design of the database exhaustively.Consequently,according to the requirements of the project,a detailed design description of the system was made,and the system was developed and implemented further.Finally,the system was tested in functionality and other related performances.The comprehensive platform for testing and evaluation of meteorological observation equipment fulfills all the requirements of our project,and also provides effective decision support information,as well as convenient and fast platform system support for the testing and evaluation of new meteorological observation equipment.Presently,the system has been operationally tested by the relevant departments of the China Meteorological Administration and has meted expectation results. |
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