地下水监测中大数据技术的应用策略研究

Research on Application Strategy of Big Data Technology in Groundwater Monitoring

目前,地下水监测技术很难在短时间内实现污染源检测。为了解决这一问题,引用大数据技术设计了一种新的地下水监测方法。首先以大数据技术中的地理空间数据库为基础,在计算机硬件与软件的支持下,对地下水地理位置信息进行收集、管理、分析、模拟和显示,监测地下水地理位置信息。通过流量监测、地下水水温监测和地下水水位监测实现地下水动态监测。设计与传统监测技术的对比实验,实验结果表明,在相同时间内,基于大数据技术的地下水监测技术监测到的污染源更多,监测效果更好。

Current groundwater monitoring technology is difficult to realize pollution source detection in a short time.In order to solve this problem,a new groundwater monitoring method is designed by using big data technology.Based on geo-spatial database in big data technology,groundwater geographic location information is collected,managed,analyzed,simulated and displayed to monitor groundwater geographic location information with the support of computer hardware and software.Groundwater dynamic monitoring is realized through flow monitoring,groundwater temperature monitoring and groundwater level monitoring.Compared with the traditional monitoring technology,the experimental results show that the groundwater monitoring technology based on big data technology can detect more pollution sources in the same time,and the monitoring effect is better.