Abstract
This article aims to address the limited sensitivity caused by indoor light source interference and false alarms due to cooking smoke in optoelectronic smoke detection applications. We propose a hybrid modulation optical communication and specific wavelength device-based water mist and smoke discrimination sensing system. The system achieves anti-indoor light source interference at both component and circuit levels, and utilizes a self-developed bandpass optical detector combined with an optical communication hybrid modulation algorithm to further increase the signal-to-noise ratio. Additionally, based on the optical characteristics of smoke, the system uses a multi-wavelength bandpass optical detector array to differentiate between fire smoke and cooking smoke, thereby reducing the system's false alarm rate.
| Original language | English |
|---|---|
| Pages (from-to) | 56-57 |
| Number of pages | 2 |
| Journal | IET Conference Proceedings |
| Volume | 2023 |
| Issue number | 35 |
| DOIs | |
| Publication status | Published - 2023 |
| Event | 2023 IET International Conference on Engineering Technologies and Applications, ICETA 2023 - Yunlin, Taiwan Duration: 2023 Oct 21 → 2023 Oct 23 |
All Science Journal Classification (ASJC) codes
- General Engineering
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