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基于GIS边缘云的水质监测系统研究
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Abstract:
水污染环境监测中，采用实地采样、实验室分析，需要耗费大量的人力物力并且获取的数据无法保持其时效性。本文将边缘云计算应用于水质监测系统的数据采集与传输，并结合GIS数据展示，提出了一种基于GIS边缘云的水质监测系统。通过不同边缘云设备进行数据采集与数据分析，同时对比实验室相关仪器检测数据，验证本文水质监测系统的有效性。本文水质监测系统表明在相同环境条件下，基于GIS边缘云的水质监测系统可以更加快速的获取到水质信息，并且通过云端将获取的数据展示到网页上。相比较传统的水质监测，该系统在保证精度的情况下，提高了水质监测效率，也保持了水质监测的时效性。
In water pollution environmental monitoring, traditional methods involving on-site sampling and laboratory analysis incur significant human and material resources, and the data obtained may lack real-time relevance. This paper proposes a GIS-based edge cloud water quality monitoring system that utilizes edge cloud computing for data collection and transmission, coupled with GIS data visu-alization. By employing various edge cloud devices for data acquisition and analysis, the effectiveness of the proposed water quality monitoring system is validated through comparison with laboratory instrument data. The results of this study demonstrate that, under similar environmental conditions, the GIS-based edge cloud water quality monitoring system can rapidly obtain water quality information. Additionally, the system showcases the collected data on a web page through cloud computing, leading to improved monitoring efficiency while maintaining real-time data relevance compared to traditional water quality monitoring methods.
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