一种空气质量监测预报解决方案

2018 IEEE 12th International Symposium on Applied Computational Intelligence and Informatics (SACI) Pub Date : 2018-05-01 DOI:10.1109/SACI.2018.8440994

Iasmina Gruicin, Marian-Emanuel Ionascu, M. Popa

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引用次数: 2

摘要

空气质量监测正转向更加个性化的数据收集方式，以准确性换取规模和成本。本文介绍了一种空气质量监测的概念解决方案，该方案由可穿戴传感设备、数据存储和计算方法以及数据可视化门户网站组成。我们分析了不同空气参数之间的相关性，并比较了两种多元线性回归预测模型对二氧化氮(NO2)下一小时浓度的预测。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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A Solution for Air Quality Monitoring and Forecasting

Air quality monitoring is shifting towards more personalized means of data collection, trading accuracy for size and cost. In this paper, we introduce a concept solution for air quality monitoring composed of wearable sensing devices, methods of storing and computing the data and a web portal for visualizing the data. We present an analysis of the correlations between different air parameters, as well as a comparison between two multiple linear regression forecasting models for Nitrogen Dioxide (NO2) next-hour concentration prediction.

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来源期刊

2018 IEEE 12th International Symposium on Applied Computational Intelligence and Informatics (SACI)

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