数据融合技术在环境监测网络中的应用与思考
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摘要
随着科技的发展,地理信息系统、卫星定位系统等技术在环境监测领域得到广泛应用,不同的检测技术对环境的描述方式不同,得出的监测数据呈现多元性、异构性等特点。同时环境监测当中各项指标之间是相互影响的,我们在分析环境监测情况时,要根据多个指标综合分析,不要仅仅依靠单一的指标含量。综上所述,我们可以看出环境监测系统面临着大量数据的处理,同时也必须要有效的融合周围环境因素的相关影响。我们针对现今的环境监测系统面临的问题,使用大数据作为数据处理工具进行环境监测当中的相关因素融合,能够对数据进行存储和处理,为人们提供更高效、准确的环境监测数据。
With the development of science and technology, technologies such as geographic information system and satellite positioning system have been widely used in the field of environmental monitoring. Different detection technologies have different ways of describing the environment, and the obtained monitoring data are characterized by diversity and heterogeneity.. At the same time, the indicators in the environmental monitoring are mutually influential. When analyzing the environmental monitoring situation, we should comprehensively analyze according to multiple indicators, not relying on a single indicator content. In summary, we can see that the environmental monitoring system is faced with a large amount of data processing, and must also effectively integrate the relevant influences of surrounding environmental factors. For the problems faced by the cash environmental monitoring system, the use of big data as a data processing tool for the integration of relevant factors in the environmental testing, can store and process the data, and provide people with more efficient and accurate environmental monitoring data.
With the development of science and technology, technologies such as geographic information system and satellite positioning system have been widely used in the field of environmental monitoring. Different detection technologies have different ways of describing the environment, and the obtained monitoring data are characterized by diversity and heterogeneity.. At the same time, the indicators in the environmental monitoring are mutually influential. When analyzing the environmental monitoring situation, we should comprehensively analyze according to multiple indicators, not relying on a single indicator content. In summary, we can see that the environmental monitoring system is faced with a large amount of data processing, and must also effectively integrate the relevant influences of surrounding environmental factors. For the problems faced by the cash environmental monitoring system, the use of big data as a data processing tool for the integration of relevant factors in the environmental testing, can store and process the data, and provide people with more efficient and accurate environmental monitoring data.
引文
[1]郑淏,薛惠锋,李养养,杨伟伟,张佳音,王斐.数据融合技术在环境监测网络中的应用与思考[J/OL].中国环境监测,2018(05):103.
[2]常慧青.无线传感器网络双簇头路由协议和数据融合技术的研究[D].天津:天津理工大学,2018.
[3]周菁.浅谈“3S”系统在环境监测网络中的应用[J].大众科技,2005(5):82-84.
[4]解红,刘建.DTN技术在环境监测网络中的应用[J].安徽农业科学,2011,39(20):12573-12574.
[2]常慧青.无线传感器网络双簇头路由协议和数据融合技术的研究[D].天津:天津理工大学,2018.
[3]周菁.浅谈“3S”系统在环境监测网络中的应用[J].大众科技,2005(5):82-84.
[4]解红,刘建.DTN技术在环境监测网络中的应用[J].安徽农业科学,2011,39(20):12573-12574.