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篇名 |
CO Multi-Forecasting Model for Indoor Health and Safety Management in Smart Home
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並列篇名 | CO Multi-Forecasting Model for Indoor Health and Safety Management in Smart Home |
作者 | 張至淵、Kuei-Sheng Ko、Sy-Jye Guo、San-Shan Hung、Yi-Ting Lin |
英文摘要 | The integrated application of the Internet of Things and artificial intelligence (AIoT) is key during the developmental process from a smart home to smart city and the design of sensors for collecting various types of data is the foundation for establishing the entire AIoT. In this study, we placed our self-designed carbon monoxide (CO) sensor into a 1:10 ratio acrylic house model and simulated three types of CO hazard scenarios. The results comparing 10 cases were used to establish an innovative CO Multi-Forecasting Model (CMFM). The CMFM is suitable for application in the semi-supervised learning - based AIoT. In addition to having a 3-7 times better safety warning time compared to that of commercially available CO sensors, our CO sensor also possesses a health warning function for indoor air quality. |
起訖頁 | 275-286 |
關鍵詞 | Smart home、Carbon monoxide poisoning、Sensor、Artificial intelligence、Prediction |
刊名 | 網際網路技術學刊 |
期數 | 202001 (21:1期) |
出版單位 | 台灣學術網路管理委員會 |
DOI |
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