Design of Air Quality Monitoring Using Environmental Sensors Towards Green Campus Development
- DOI
- 10.2991/978-94-6463-926-1_16How to use a DOI?
- Keywords
- Air Quality Monitoring; Internet of Things (IoT); Pollution; Sensor
- Abstract
At present, air quality has been contaminated with vehicle exhaust emissions. This also happens inside the campus due to many students using private vehicles on campus. If not controlled, this condition will get worse and there will be air pollution on campus. This research builds a detection and monitoring device for parameters such as CO, CO2, temperature, and humidity levels. This device was built by ESP microcontroller, DHT22 sensor, MQ-7 sensor, MQ-135 sensor, LCD, buzzer, and Blynk application. Based on the results, the average CO level was 63 ppm. The average CO2 level was 1828 ppm at the parking lots. The average of temperature was 29 ℃. The average humidity was 64%RH. The CO2 level has already worried. It’s caused by many students bringing their private vehicles to the campus at certain times. Pollution occurs at certain hours, especially in the transition time between the afternoon class and the morning class faced each other.
- Copyright
- © 2025 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Benar Benar AU - Bakti Viyata Sundawa PY - 2025 DA - 2025/12/31 TI - Design of Air Quality Monitoring Using Environmental Sensors Towards Green Campus Development BT - Proceedings of the International Conference on Applied Science and Technology on Engineering Science 2025 (iCAST-ES 2025) PB - Atlantis Press SP - 129 EP - 135 SN - 2352-5401 UR - https://doi.org/10.2991/978-94-6463-926-1_16 DO - 10.2991/978-94-6463-926-1_16 ID - Benar2025 ER -