An Intelligent IoT Environmental Monitoring System Applying LoRa Communication Technologies
| Autor: | LU,JIAN-HUNG, 盧建宏 |
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| Rok vydání: | 2019 |
| Druh dokumentu: | 學位論文 ; thesis |
| Popis: | 107 In Taiwan, most of the environmental monitoring stations are mainly located geographically according to the central administration districts to detect and measure air quality. In general, the similar coverages and services do not provide sufficiently over local regions. In this study, it establishes an intelligent IoT-based monitoring system to measure the environmental parameters, e.g., particulate matter (PM), temperature, humidity, apparent temperature, ultraviolet light, carbon monoxide as well as carbon dioxide. The system was designed, developed and implemented on a densely populated university campus to compensate for not only lacking the monitoring stations regionally, but also maintaining healthy atmosphere for human beings. It uses LRM001 module and applies LoRa communication mechanism for commands/data transmitting or receiving. The system has been implemented in C# and web-based, integrating the front-end sensors and the backend Microsoft Azure SQL Database, and applying LoRa connectivity to glue both ends together. The real-time environmental parameters are able to be displayed and presented under the web accessing, further locating the different monitoring stations through the Google Map. In addition, the system can further pursue big data analyses and decision support via the aggregated parameters. Ultimately, the system can facilitate the environmental quality trends for decision making as well as hazardous prediction and prevention. |
| Databáze: | Networked Digital Library of Theses & Dissertations |
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