Estimating the Fine-Grained PM2.5 for Airbox Sensor Fault Detection in Taiwan

Héctor Ordóñez Vivancos, Guanyao Li, Wen-Chih Peng

研究成果: Conference contribution同行評審

摘要

Recently, PM2.5 becomes one critical threat for the health of human. To monitor the PM2.5, the Airbox project that consists of more than 2000 PM2.5 sensors is executing in Taiwan. Thanks to the Airbox sensors, people can know the fine-grained air quality. However, Airbox sensors can fail and it is important to detect which sensor is failed to prevent the noise in the data. In this work, we focus on fault detection and value estimation for PM2.5 monitoring. To achieve our goal, we utilize the data from Environmental Protection Administration(EPA) for estimation. We firstly propose two estimation methods which consider the distance and similarity between the Airbox sensors and EPA monitoring stations for PM2.5 estimation. Then based on the estimation result, we detect which sensors is failed. We collect the data from Airbox Edimax web page and Taiwan's Environmental Protection Administration for our experiment. The experiment results reveal the good performance of our proposed methods.

原文English
主出版物標題Proceedings - 2017 Conference on Technologies and Applications of Artificial Intelligence, TAAI 2017
發行者Institute of Electrical and Electronics Engineers Inc.
頁面54-57
頁數4
ISBN(電子)9781538642030
DOIs
出版狀態Published - 9 五月 2018
事件2017 Conference on Technologies and Applications of Artificial Intelligence, TAAI 2017 - Taipei, Taiwan
持續時間: 1 十二月 20173 十二月 2017

出版系列

名字Proceedings - 2017 Conference on Technologies and Applications of Artificial Intelligence, TAAI 2017

Conference

Conference2017 Conference on Technologies and Applications of Artificial Intelligence, TAAI 2017
國家Taiwan
城市Taipei
期間1/12/173/12/17

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