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基于未确知有理数滤波的大坝安全自动化监测数据粗差处理
引用本文:明星,李子阳. 基于未确知有理数滤波的大坝安全自动化监测数据粗差处理[J]. 黑龙江水专学报, 2010, 37(2): 62-65
作者姓名:明星  李子阳
作者单位:1. 宁波市北仑区大碶街道农业办公室,浙江,宁波,315800
2. 南京水利科学研究院,南京,210029
基金项目:国家自然科学基金(50809025)混凝土坝空间场的安全预警模型研究 
摘    要:对于大坝安全监测自动化所获得的大量原位监测数据,为了剔除粗差并使整编数据尽可能多的包含有用信息,研究了基于未确知有理数滤波的自动化监测数据粗差识别和数据整编的方法。即根据粗差数据和异常数据的本质区别,以测值邻域内包含该测值附近测值的个数表征其可信度,以未确知有理数均值的形式输出整编值;在此基础上,分析了未确知有理数滤波的适用范围,指出其应用于多输入单输出的数据处理情况。

关 键 词:未确知有理数  监测数据  粗差处理

Gross Error Handling of Dam Safety Automatic Monitoring Data Based on Unascertained Rational Number Filtering
MING Xing,LI Zi-yang. Gross Error Handling of Dam Safety Automatic Monitoring Data Based on Unascertained Rational Number Filtering[J]. Journal of Heilongjiang Hydraulic Engineering College, 2010, 37(2): 62-65
Authors:MING Xing  LI Zi-yang
Affiliation:1.Agriculture Office of Daqi Street in Beilun District,Ningbo 315800,Zhejiang,China;2.Nanjing Hydraulic Research Institute,Nanjing 210029,China)
Abstract:For a large number of in-situ monitoring data obtained by dam safety monitoring automation,in order to eliminate gross errors and make the integration data contain useful information as much as possible,the gross error handling method is studied based on unascertained rational number filtering.According to the essential difference between blunders and outliers,the data reliability is characterized with the measured values number near this data,and the integration data is provided with the form of unascertained rational number mean.On this basis,the application sphere of unascertained rational number filtering is analyzed and it applied to the data-processing conditions of multi-input and single-output.
Keywords:unascertained rational number  monitoring data  gross error handling
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