Multi-scene intelligent environmental monitoring system
With the rapid development of the economy and the acceleration of modernization since the 21st century, environmental problems are becoming more and more prominent, and the monitoring and evaluation of the environmental system are particularly important. A multi-scene intelligent environmental detection system based on STM32 is proposed. The system consists of MQ2 module, MQ3 module, MQ7 module, DHT11 temperature and humidity sensor, photo resistor, active buzzer, OLED screen, and Guanghetong L610 communication system, which is capable of real-time monitoring of temperature, humidity, CO concentration, alcohol gas concentration, and smoke gas concentration, and displaying these parameters on the LED display for real-time observation. In addition, the system also realizes the connection with the cell phone app through the Guanghetong interface, so that users can observe and adjust the environmental parameters at any time. The system is set up with a concentration threshold function, once the parameters exceed the preset threshold, the system automatically makes a cell phone call, send WeChat public message and SMS notification. At the same time, users can also set and adjust the threshold of each parameter at any time. The system also has the function of displaying personal information. The experimental results show that the system is characterized by high precision, high sensitivity and high response speed, which can realize the real-time analysis and monitoring of the environmental detection system and achieve better results.
Authors
- Yi Xu (ORCID: https://orcid.org/0000-0003-2126-6054)
- Xinyi Tao (ORCID: https://orcid.org/0009-0001-4479-0644)
- Juanjuan Li (ORCID: https://orcid.org/0000-0003-4581-3788)
- Lihan Wang (ORCID: https://orcid.org/0000-0002-9130-0505)
- Haoran Lv (ORCID: https://orcid.org/0009-0000-5843-6622)
Institutions
- Soochow University (TW)
Publication Details
- Published
- 2024-10-28
- DOI
- https://doi.org/10.1109/icsp62129.2024.10846170
- Citations
- 2
- Primary Topic
- Water Quality Monitoring Technologies
- Type
- article
- Field-Weighted Citation Impact
- 0.40
Funders
- Ministry of Education
- Soochow University