Design, Develop, Fabricate, and Statistical Quantification of Air Quality System Along with Web Application

Author:

Sushil Chandra 1,Sanghmitra 2,Aditya Kumar 2,Rohan Khare 2

Affiliation:

1. Head of CIP & DM, Remote Sensing Applications Centre-UP, Lucknow. Uttar Pradesh, India.

2. Project Scientist, Remote Sensing Applications Centre-UP, Lucknow. Uttar Pradesh, India.

Abstract

Our Air Quality Index (AQI) measurement and analytics system is specifically designed for household, office, or single-room use, addressing concerns related to pollution's impact on respiratory health and visibility. The system incorporates dedicated sensors such as the PM Sensor (PMS5003), the ozone sensor (MQ- 131), the VOC Sensor (MP503), the CO2 Sensor (MH- Z19B), and the temperature and humidity sensor (DHT22). These sensors communicate with a web application server through the ESP8266-01 Wi-Fi module. The sensor values are displayed on a TFT (Thin Film Transistor) display, ensuring continuous monitoring with a time delay. The Arduino Pro Mini Board, powered by an FTDI (Future Technology Devices International Ltd.) chip, facilitates the sensor readings by operating on specific protocols. The ESP-01 module provides internet capability, enabling the system to host a custom web server. The sensor data is utilized to generate graphs on a dashboard, presenting the air quality information in a visually accessible manner. The displayed values are aligned with the standard guidelines set by the Central Pollution Control Board (CPCB). Moreover, the system supports historical data retrieval through integration with a PostgreSQL database, allowing users to analyze air quality trends over time. By providing real-time monitoring, comprehensive analytics, and historical data insights, our AQI measurement and analytics system empowers users to make informed decisions to improve air quality and mitigate the potential risks associated with pollution.

Publisher

Technoscience Academy

Reference10 articles.

1. Manisalidis, E. Stavropoulou, A. Stavropoulos, and E. Bezirtzoglou, ‘Environmental and Health Impacts of Air Pollution: A Review’, Frontiers in Public Health, vol. 8. Frontiers Media S.A., Feb. 20, 2020. doi: 10.3389/fpubh.2020.00014.

2. M. S. Rane, A. R. Naik, K. Vachhani Assistant Professor, and E. Dept, ‘Real-time AQI Monitoring System: An Economical Approach Using Wireless Sensor Network’.

3. MQ131 Low Concentration Ozone Gas Sensor--Winsen. (n.d.). MQ131 Low Concentration Ozone Gas Sensor-- Winsen.https://www.winsensensor.com/sensors/o3-gas-sensor/mq131-l.html

4. Air Quality Index project, T. W. (n.d.). Digital universal particle concentration sensor. aqicn.org. Retrieved July 14, 2023, from https://aqicn.org/sensor/pms5003-7003/

5. admin, “The CO2 sensor bible MH-Z19B,” eMariete, Dec. 27, 2020. https://emariete.com/en/sensor-co2-mh-z19b/

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