为生态环境和智能城市提供智能水源监控物联网系统
Shih-Lun Chen1, He-Sheng Chou1, Chun-Hsiang Huang1
1Department of Electronic Engineering, Chung Yuan Christian University, Taoyuan City 320314, Taiwan.
Sensors (Basel, Switzerland)
|October 28, 2023
概括
这项研究介绍了使用物联网设备的AI驱动的智能水资源管理系统. 该技术提高了水位的准确性并节约了资源,为面对极端气候事件的城市环境提供了可持续的解决方案.
科学领域:
- 环境科学 环境科学
- 人工智能的人工智能
- 物联网的物联网,就是物联网.
背景情况:
- 极端气候事件正在增加全球降雨强度.
- 有效的水资源管理对于可持续的城市和生态环境至关重要.
- 现有的技术缺乏水源监测的成本效益和精度.
研究的目的:
- 开发一个人工智能驱动的水位和水质控制的智能监测系统.
- 创建一个低成本,低功耗,高精度的物联网解决方案,用于水资源管理.
- 提高城市地区的水资源储备和修改效率.
主要方法:
- 集成多个传感器 (液体水平,度,pH,氧气).
- 利用人工智能与历史降雨和天气数据进行水位计算.
- 实时水资源管理的动态调整系统的实施.
主要成果:
- 与现有技术相比,实现了超过60%的成本节约.
- 通过多传感器校准,提高了水位测量的精度超过15%.
- 已证明有超过15%的水资源保护潜力.
结论:
- 拟议的基于人工智能的物联网系统为智能水资源管理提供了具有成本效益和准确的解决方案.
- 动态调整系统显著提高水资源效率和节约.
- 这项技术可以减轻智能城市的洪水,干旱和生态问题的损失.
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