气象要素数据融合算法研究  

Research on Weather Element Data Fusion Algorithm

作　　者：杨明栋 马尚昌[2] Yang Mingdong;Ma Shangchang(Sichuan Vocational College of Information Technolog,Guangyuan,China;Chengdu University of Information Technology,Chengdu,China)

机构地区：[1]四川信息职业技术学院,四川广元 [2]成都信息工程大学,四川成都

出　　处：《科学技术创新》2025年第3期57-60,共4页Scientific and Technological Innovation

摘　　要：数据融合是一种将多源信息对同一事件通过一定的算法准则,实现达到客观可靠的数据处理技术。在气象领域中,大部分数据融合相关问题一般来自于数据缺陷,当传感器提供的数据受到测量不确定因素影响时,采集数据存在模糊性或错误性的数据,也有可能出现数据缺陷现象。本研究选取多设备同一气象要素数据进行融合,通过传感器的优势互补,消除一定的测量误差,实现多通道融合后数据测量可靠性更高。Data fusion is a kind of data processing technology that realizes to achieve objective and reliable data processing by means of certain algorithmic guidelines from multiple sources of information on the same event.In the field of meteorology,most of the data fusion-related problems generally come from data defects,and the phenomenon of data defects may also occur when the data provided by the sensors are affected by measurement uncertainties,and the data collected are ambiguous or erroneous.In this study,the data of the same meteorological element from multiple devices are selected to be fused to eliminate certain measurement errors through the complementary advantages of the sensors and to achieve a higher reliability of data measurement after multi-channel fusion.

关 键 词：气象要素 数据缺陷 数据融合 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]