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低成本的空气,噪音和光污染测量站,具有无线通信和微小MLML

J S Botero-Valencia¹, C Barrantes-Toro¹, D Marquez-Viloria¹

¹Grupo de Sistemas de Control y Robótica, Engineering Faculty, Instituto Tecnológico Metropolitano, Medellín, Colombia.

|October 12, 2023

概括

一个新的低成本环境监测站测量空气,噪音和光污染,以及温度和湿度. 这种紧,经过验证的设备有助于环境研究,并确保可居住性.

科学领域:

环境科学环境科学
传感器技术传感器技术
生态系统监测生态系统监测

背景情况:

全球生态系统面临着各种环境污染物的负面影响.
准确评估当地污染水平对于评估人类影响和制定减缓策略至关重要.
确保环境的宜居性需要对关键污染参数进行持续监测.

研究的目的:

开发和提出一个低成本的多功能污染测量站,用于各种环境监测应用.
将多个污染和环境参数集成到一个单一的,紧的,负担得起的设备中.
为环境研究,监测网络和可居住性评估提供一个验证的工具.

主要方法:

开发一个小型的污染测量站,能够测量颗粒物,二氧化碳,噪声 (水平和方向),光污染 (功率和多谱),相对湿度和环境温度.
集成数据记录功能 (SD卡) 和实时数据传输 (WiFi,可选的2G/3G).
与参考设备对系统的测量精度的验证,在所有测量变量中达到约2.67%的平均误差.

主要成果:

成功开发了一个低成本 (628.12美元) 综合污染测量站.
与参考设备相比,证明了高精度,平均误差为2.67%.
该系统提供灵活的数据存储和传输选项,包括太阳能兼容性.

结论:

开发的低成本污染测量站是全面环境监测的可行工具.
它的准确性,可负担性和多功能性使它适合各种应用,从研究到确保居住空间的可居住性.
该系统的设计使其易于组装,并为广泛部署提供可适应的电源和连接选项.

关键词:

空气污染大气污染阿尔杜诺是一个Arduino.光线污染光线污染测量站是一个测量站.噪音污染噪音污染噪音污染在TinyML中使用TinyML.

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