大数据下水质监测技术要点分析

Analysis on Key Points of Water Quality Monitoring Technology under Big Data

为实现对水质的动态监测,及时掌握水质变化情况,做好水质预警工作,指出了大数据背景下水质监测技术的创新意义和水质监测技术的应用,分析了构建大数据水质监测平台的作用:科学获取数据信息资源,确定水质特征,合理构建水质监测评价模型,及时获取水质异常数据信息,科学设计水质监测系统,通过采取科学合理的水资源保护措施,提高水资源利用率。

In order to realize the dynamic monitoring of water quality,timely grasp the changes of water quality and do well in water quality early warning,this paper points out the innovative significance of water quality monitoring technology and the application of water quality monitoring technology under the background of big data,and analyzes the role of building a big data water quality monitoring platform,i.e.to scientifically obtain data information resources,determine water quality characteristics,reasonably build water quality monitoring and evaluation model,and timely obtain abnormal water quality data information,scientifically design the water quality monitoring system and improve the utilization rate of water resources by taking scientific and reasonable water resources protection measures.