| Paper ID | D-3-1.1 |
| Paper Title |
LoRa-Based Air Quality Monitoring System Using ChatBot |
| Authors |
Yao-Chiang Kan, Yuan Ze University, Taiwan; Hsueh-Chun Lin, China Medical University Hospital and College of Medicine, Taiwan; Han-Yu Wu, Junghsi Lee, Yuan Ze University, Taiwan |
| Session |
D-3-1: Digital Convergence of 5G, AIoT and Security II |
| Time | Thursday, 10 December, 12:30 - 14:00 |
| Presentation Time: | Thursday, 10 December, 12:30 - 12:45 Check your Time Zone |
|
All times are in New Zealand Time (UTC +13) |
| Topic |
Wireless Communications and Networking (WCN): Special Session: Digital Convergence of 5G, AIoT and Security |
| Abstract |
The air quality index (AQI) monitoring of campus area becomes much more popular and cheaper thank to the emerging of low power wide-area network (LPWAN) technique including the LoRa and NB-IoT. This AQI information is more precisely related to the health status of the people who live in the area most of the time. In this paper, a convenient AQI query interface is built by using LineBot which is the most popular instant messaging APP in Taiwan. One LoRa-base station is installed on the top floor of No. 7 building at Yuan-Ze University. The whole campus is basically covered by the LoRa signal emitted by this station. In the front-end, the LoRa-based AQI sensors of PM2.5, CO2, and CO are deployed in different locations of this building. The sensor data are collected and stored in a database automatically by a program. User can query AQI information from a chatbot and the most update data are retrieved from the database. In addition, a sensor setup Android APP is developed to accomplish the automation of the sensor deployment and data updating on the Line Bot. The developed monitoring system is established and running more than years and provides much more convenient accessibility for people in campus. The proposed monitoring and query system can be ported to any locations by modify the webhook setting in chatbot software as long as the LoRa station is available. |