分布式光纤测温数据粗差识别初探  

Primary research on gross error identification for measurement data of distributed optical fiber temperature

作　　者：陈义涛[1] 黄耀英[1] 丁月梅[1] 汤国庆 周宜红[1] 

机构地区：[1]三峡大学水利与环境学院,湖北宜昌443002 [2]国电大渡河大岗山水电开发有限公司,四川成都625409

出　　处：《人民长江》2014年第11期74-77,共4页Yangtze River

基　　金：国家自然科学基金项目(51209124)

摘　　要：针对分布式光纤时空测温数据常出现突变点型粗差数据的情形,采用数学形态滤波法进行粗差识别,并在Visual Studio 2008中VB.NET开发环境下,初步开发了基于数学形态滤波法的分布式光纤测温数据粗差识别系统模块。针对某混凝土高拱坝的试用表明,数学形态滤波法能较好地进行光纤测温数据粗差识别。所提出的测温数据粗差识别理论推进了光纤测温在大体积混凝土温度监测中的应用,可供类似工程参考。According to the condition that mutation type point of gross error data often occurs in measurement data of distributed optical fiber spatiotemporal temperature, mathematical morphology filter is applied to detecting gross errors. The gross error detection information system module for distributed optical fiber temperature measurement data is developed in the VB. NET environment of Visual Studio 2008. Trial test for a high arch dam shows that the mathematical morphology filter is an efficient method to identify gross error data in the fiber temperature monitoring data. The mathematical morphology filter also promotes the application of fiber temperature detection in mass concrete temperature monitoring, and will be an available reference for other similar projects.

关 键 词：数学形态滤波 光纤测温 粗差识别 信息系统模块 

分 类 号：TV698.1[水利工程—水利水电工程]