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Received:October 29, 2015 Revised:November 25, 2015
Received:October 29, 2015 Revised:November 25, 2015
中文摘要: 在省级环境监测系统中随着时间的累积有大量数据,并且监测数据种类繁多,不同环境指标的描述信息也有很大差别,同时监测数据又是每分每秒不断增加的,这样就增加了数据的复杂性.而数据融合技术则是大数据技术中处理数据的一种方式,可以将来自多传感器的数据通过数据转换、数据相关和融合计算过程,对数据处理、分析并进行态势分析.同时利用到了大数据ETL技术、MapReduce处理,使用D-S证据推理算法进行融合推理,这样就可以增加数据的相关性,降低数据的规模.
Abstract:With the accumulation of time, the data is sharply increased in provincial environment system. And there are many different kinds of monitoring data and the description of the different environmental indicators varies. As the monitoring data is growing every minute, the complexity of the data is increasing. The data fusion technology is a method of processing data in big data technologies, which can process data, analysis data and make trend analysis through transfer, correlation and fusion compute data from multiple sensors. The using of ETL, MapReduce and D-S evidence reasoning algorithm can increase the correlation data, so reduce the size of the data.
keywords: data fusion transfer correlation fusion compute MapReduce
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刘卫萍,王宁,周晓磊,张镝.数据融合技术在环境监测领域的应用.计算机系统应用,2016,25(6):88-93
LIU Wei-Ping,WANG Ning,ZHOU Xiao-Lei,ZHANG Di.Application of Data Fusion to Environment Monitoring.COMPUTER SYSTEMS APPLICATIONS,2016,25(6):88-93
刘卫萍,王宁,周晓磊,张镝.数据融合技术在环境监测领域的应用.计算机系统应用,2016,25(6):88-93
LIU Wei-Ping,WANG Ning,ZHOU Xiao-Lei,ZHANG Di.Application of Data Fusion to Environment Monitoring.COMPUTER SYSTEMS APPLICATIONS,2016,25(6):88-93

