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用于经济高效的环境监测和实时数据共享的本地气象站设计与开发

Local Weather Station Design and Development for Cost-Effective Environmental Monitoring and Real-Time Data Sharing.

作者信息

Rivera Antonio, Ponce Pedro, Mata Omar, Molina Arturo, Meier Alan

机构信息

Institute of Advanced Materials for Sustainable Manufacturing, Tecnologico de Monterrey, Monterrey 14380, Mexico.

Lawrence Berkeley National Laboratory, 1 Cyclotron Road, Berkeley, CA 94720, USA.

出版信息

Sensors (Basel). 2023 Nov 9;23(22):9060. doi: 10.3390/s23229060.

DOI:10.3390/s23229060
PMID:38005448
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10675263/
Abstract

Current weather monitoring systems often remain out of reach for small-scale users and local communities due to their high costs and complexity. This paper addresses this significant issue by introducing a cost-effective, easy-to-use local weather station. Utilizing low-cost sensors, this weather station is a pivotal tool in making environmental monitoring more accessible and user-friendly, particularly for those with limited resources. It offers efficient in-site measurements of various environmental parameters, such as temperature, relative humidity, atmospheric pressure, carbon dioxide concentration, and particulate matter, including PM 1, PM 2.5, and PM 10. The findings demonstrate the station's capability to monitor these variables remotely and provide forecasts with a high degree of accuracy, displaying an error margin of just 0.67%. Furthermore, the station's use of the Autoregressive Integrated Moving Average (ARIMA) model enables short-term, reliable forecasts crucial for applications in agriculture, transportation, and air quality monitoring. Furthermore, the weather station's open-source nature significantly enhances environmental monitoring accessibility for smaller users and encourages broader public data sharing. With this approach, crucial in addressing climate change challenges, the station empowers communities to make informed decisions based on real-time data. In designing and developing this low-cost, efficient monitoring system, this work provides a valuable blueprint for future advancements in environmental technologies, emphasizing sustainability. The proposed automatic weather station not only offers an economical solution for environmental monitoring but also features a user-friendly interface for seamless data communication between the sensor platform and end users. This system ensures the transmission of data through various web-based platforms, catering to users with diverse technical backgrounds. Furthermore, by leveraging historical data through the ARIMA model, the station enhances its utility in providing short-term forecasts and supporting critical decision-making processes across different sectors.

摘要

当前的天气监测系统由于成本高昂和操作复杂，对于小规模用户和当地社区来说往往难以企及。本文通过引入一种经济高效、易于使用的本地气象站来解决这一重大问题。该气象站利用低成本传感器，是使环境监测更易于进行且更用户友好的关键工具，尤其适用于资源有限的人群。它能对各种环境参数进行高效的现场测量，如温度、相对湿度、大气压力、二氧化碳浓度以及颗粒物，包括PM1、PM2.5和PM10。研究结果表明，该气象站能够远程监测这些变量，并提供高度准确的预报，误差率仅为0.67%。此外，该气象站使用自回归积分移动平均（ARIMA）模型能够进行短期可靠预报，这对于农业、交通和空气质量监测应用至关重要。此外，该气象站的开源性质显著提高了小用户对环境监测的可及性，并鼓励更广泛的公共数据共享。通过这种方法（这对于应对气候变化挑战至关重要），该气象站使社区能够基于实时数据做出明智决策。在设计和开发这种低成本、高效的监测系统时，这项工作为环境技术的未来发展提供了宝贵的蓝图，强调了可持续性。所提出的自动气象站不仅为环境监测提供了经济的解决方案，还具有用户友好的界面，便于传感器平台与终端用户之间进行无缝数据通信。该系统确保通过各种基于网络的平台传输数据，满足不同技术背景用户的需求。此外，通过利用ARIMA模型的历史数据，该气象站增强了其在提供短期预报和支持不同部门关键决策过程方面的效用。

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