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硬件故障导致雷达回波错误数据质量控制方法
引用本文:赵瑞金,刘黎平,张进.硬件故障导致雷达回波错误数据质量控制方法[J].应用气象学报,2015,26(5):578-589.
作者姓名:赵瑞金  刘黎平  张进
作者单位:1.中国气象科学研究院灾害天气国家重点实验室, 北京 100081
基金项目:中国气象科学研究院灾害天气国家重点实验室开放课题(2013LASW B07),河北省气象局科研课题(12ky13)
摘    要:雷达硬件故障直接影响数据质量,故障数据进入共享系统后不但影响本地预报员对天气系统的分析和判断,对国家级业务系统也会产生严重影响。目前,对雷达资料的数据质量控制主要针对非气象回波,对于雷达硬件故障导致的数据错误还缺乏有效的质量控制方法。该文对河北省石家庄CINRAD/SA雷达2004—2013年硬件故障时的基数据和回波特征进行分析,研究雷达故障导致的数据错误与故障类别的相关性及对数据和回波的影响。结果表明:雷达硬件故障导致的数据错误对基数据的完整性、数据位置和强度信息产生影响,发射机和接收机系统故障主要影响雷达数据的强度信息;伺服系统故障主要影响数据的位置信息。提出通过对雷达数据完整性和位置信息的检查,根据硬件故障影响雷达回波形态、位置、范围和强度等图像特征,利用基于模糊逻辑自动识别雷达硬件故障导致的错误数据的质量控制方法。利用石家庄雷达站2004—2013年雷达故障数据进行了识别效果检验,对故障数据的总体识别率超过90%,能较好实现对硬件故障导致的数据错误质量控制,是现有雷达运行正常情况下针对非气象回波的雷达数据质量控制方法的补充。

关 键 词:雷达硬件故障    数据质量控制    模糊逻辑
收稿时间:2014-10-09

The Quality Control Method of Erroneous Radar Echo Data Generated by Hardware Fault
Zhao Ruijin,Liu Liping and Zhang Jin.The Quality Control Method of Erroneous Radar Echo Data Generated by Hardware Fault[J].Quarterly Journal of Applied Meteorology,2015,26(5):578-589.
Authors:Zhao Ruijin  Liu Liping and Zhang Jin
Affiliation:1.State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing 1000812.Hebei Provincial Meteorological Information Center, Shijiazhuang 050021
Abstract:Radar hardware fault affects data quality directly. Erroneous data not only affect local forecaster analyzing weather, but also have serious influence on the running of national operation system. So far, study on radar data quality control mainly aims at non-meteorological echoes, such as ground clutter, sea clutter, electromagnetic interference and so on. There isn't enough effective quality control method for erroneous data generated by hardware fault. Through analysis on the integrity of base data, position information and characteristic of hardware fault echoes, the correlation between erroneous data and fault category, and effects of different fault on data and echoes are studied. A quality control method is provided.Erroneous data generated by radar hardware fault affect integrity of base data, position and intensity information of echoes. There is some difference among different type hardware fault or part of radar. Transmitter and receiver system fault mainly affect the intensity information. Servo system fault mainly affect position information and the integrity of date. Through checking base data integrity and echoes position information, fault data generated by servo system can be identified.The radar intensity information affect image feature such as shape, range and intensity. The error intensity information data generated by radar hardware fault can be controlled through fuzzy-logical principle, and identified through comparing parameters such as radar echoes area, mean absolute difference of intensity, the degree of intensity change, and image correlation coefficient with neighboring normal data. There is some difference between different parts of radar or different kinds of hardware fault. It is impossible to identify all erroneous data only by one method. In the actual work, it is necessary to combine status and alarm information, and apply multiple means to check radar data step by step. Only in this way, erroneous data generated by hardware fault can be effectively and comprehensively controlled.A test on erroneous data generated by hardware fault of Shijiazhuang radar site from 2004 to 2013 is carried out, and the identification ratio is above 90%. It is supplement for the existing quality control methods which mainly aim at non-meteorological echoes when radar operate normally. The proposed algorithm is mainly based on the intensity and position information, and the quality control method on velocity and spectral width error generated by hardware fault should be further studied.
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