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发明授权
CN103217590B 一种自动获取大气电场雷电预警特征参数阈值的方法 有权

一种自动获取大气电场雷电预警特征参数阈值的方法
摘要：
本发明涉及雷电预警技术领域，具体地说涉及一种自动获取大气电场雷电预警特征参数阈值的方法：首先对大气电场监测数据进行预处理，获得各个雷电预警特征参数；选取历史时间段内的雷电预警特征参数与实际发生的雷电数据作为样本，统计并画出各参数值与雷电活动的关联图，利用该图筛选出预警分辨能力较强的特征参数作为雷电预警的基本参数；为每个参数根据其范围和精度设定一组不同阈值；对每个特征参数的不同阈值依据检验标准进行评估，从而获得每个特征参数的最佳阈值，最终形成大气电场雷电预警的综合特征参数阈值。
摘要（英）：

The invention relates to the technical field of lightning early-warning, in particular to a method automatically acquiring atmospheric electric field thunder and lightning early-warning characteristic parameter threshold values. The method comprises preprocessing atmospheric electric field monitoring data to acquire all lightning early-warning characteristic parameters; choosing thunder and lightning early-warning characteristic parameters in a history period and actually-happened thunder and lightning data as samples; counting, recording and drawing an association graph between the parameters and thunder and lightning activity, using the association graph to screen out characteristic parameters with strong early-warning distinguishing capacity as basic parameters of thunder and lightning early-warning; setting a group of different threshold values for each parameter according to a range and accuracy of the parameter; evaluating different threshold values of each characteristic parameter according to inspection standards to acquire the best threshold value of each characteristic parameter and finally forming comprehensive characteristic parameter threshold values of atmospheric electric filed thunder and lightning early-warning.

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