Call for Papers:Vol.11 Issue.4

Submission
Last date		 28-Aug-2025
Acceptance Status In One Day
Paper Publish In Two Days
Submit ManuScript

News & Updates

Submit Article

Dear Authors, Article publish in our journal for Volume-11,Issue-4. For article submission on below link: Submit Manuscript


Join As Board

Dear Reviewer, You can join our Reviewer team without given any charges in our journal. Submit Details on below link: Join As Board


Paper Publication Charges

IJARIIE APP
Download Android App

For Authors

Archives

IJARIIE Board

Downloads

Android App

Download IJARIIE APP

Authors

Title: :  Utilizing Internet of Things (IoT) technology for monitoring air quality through the detection of particulate matter, with data processed and stored on cloud servers using the Online Think speak platform
PaperId: :  21268
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 9 Issue 4 2023
DUI:    16.0415/IJARIIE-21268
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Priyanka TiwariRajiv Gandhi Prodyogiki Vishwavidyalaya,Bhopal (M.P)
Akhil Pratap SinghRajiv Gandhi Prodyogiki Vishwavidyalaya,Bhopal (M.P)
Pankaj SharmaRajiv Gandhi Prodyogiki Vishwavidyalaya,Bhopal (M.P)
Ujjwal ShuklaRajiv Gandhi Prodyogiki Vishwavidyalaya,Bhopal (M.P)

Abstract

Electronics and Communication Engineering
IoT, ThingSpeak, NodeMCU, ESP8266, DHT11, ATmega328, MQTT.
This paper presents a platform that uses Internet of Things (IoT) and cloud computing technologies to monitor both interior and outdoor pollution, enabling environmental quality assessment at any time and in any location. The system captures data at regular intervals from multiple locations inside and outside a room, providing valuable information for characterising the current conditions. Monitoring and reporting environmental factors such as gas levels, particulate presence, temperature, and humidity, the Pollution Monitoring System exemplifies the efficient application of technology. However, communication between sensing hardware devices and MQTT software protocols for online monitoring on any cloud platform presents a number of obstacles. To address these issues, IoT-enabled hardware devices are programmed to measure various air quality metrics and transmit the data to Thinkspeak analytics and the Cloud Platform for accounting and graphical representation. The system employs the MQTT protocol to establish communication between hardware devices and the cloud server. The primary objective of this research is to develop an Internet of Things-based air quality monitoring system that is both real-time and cost-effective. The system employs a dust level or particulate matter sensor for monitoring dust levels, while DHT11 sensors measure temperature and humidity. In addition, an ATmega328 controller with a NodeMCU ESP8266 development board equipped with a WiFi module is used to transmit readings to a ThingSpeak web channel platform, enabling immediate and real-time air quality display. The concentration level is graphically monitored through channels on ThingSpeak to facilitate remote communication. A threshold value has been established, so when pollutant levels reach high concentrations, the graphical curve rises to represent the increased particulate concentration level. Using NodeMCU and ThingSpeak, the study effectively designs a low-cost air quality monitoring system.

Citations

Copy and paste a formatted citation or use one of the links to import into a bibliography manager and reference.

IJARIIE Priyanka Tiwari, Akhil Pratap Singh, Pankaj Sharma, and Ujjwal Shukla. "Utilizing Internet of Things (IoT) technology for monitoring air quality through the detection of particulate matter, with data processed and stored on cloud servers using the Online Think speak platform" International Journal Of Advance Research And Innovative Ideas In Education Volume 9 Issue 4 2023 Page 1574-1589
MLA Priyanka Tiwari, Akhil Pratap Singh, Pankaj Sharma, and Ujjwal Shukla. "Utilizing Internet of Things (IoT) technology for monitoring air quality through the detection of particulate matter, with data processed and stored on cloud servers using the Online Think speak platform." International Journal Of Advance Research And Innovative Ideas In Education 9.4(2023) : 1574-1589.
APA Priyanka Tiwari, Akhil Pratap Singh, Pankaj Sharma, & Ujjwal Shukla. (2023). Utilizing Internet of Things (IoT) technology for monitoring air quality through the detection of particulate matter, with data processed and stored on cloud servers using the Online Think speak platform. International Journal Of Advance Research And Innovative Ideas In Education, 9(4), 1574-1589.
Chicago Priyanka Tiwari, Akhil Pratap Singh, Pankaj Sharma, and Ujjwal Shukla. "Utilizing Internet of Things (IoT) technology for monitoring air quality through the detection of particulate matter, with data processed and stored on cloud servers using the Online Think speak platform." International Journal Of Advance Research And Innovative Ideas In Education 9, no. 4 (2023) : 1574-1589.
Oxford Priyanka Tiwari, Akhil Pratap Singh, Pankaj Sharma, and Ujjwal Shukla. 'Utilizing Internet of Things (IoT) technology for monitoring air quality through the detection of particulate matter, with data processed and stored on cloud servers using the Online Think speak platform', International Journal Of Advance Research And Innovative Ideas In Education, vol. 9, no. 4, 2023, p. 1574-1589. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Utilizing_Internet_of_Things__IoT__technology_for_monitoring_air_quality___through_the_detection_of_particulate_matter__with_data_processed_and_stored__on_cloud_servers_using_the_Online_Think_speak_platform_ijariie21268.pdf (Accessed : ).
Harvard Priyanka Tiwari, Akhil Pratap Singh, Pankaj Sharma, and Ujjwal Shukla. (2023) 'Utilizing Internet of Things (IoT) technology for monitoring air quality through the detection of particulate matter, with data processed and stored on cloud servers using the Online Think speak platform', International Journal Of Advance Research And Innovative Ideas In Education, 9(4), pp. 1574-1589IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Utilizing_Internet_of_Things__IoT__technology_for_monitoring_air_quality___through_the_detection_of_particulate_matter__with_data_processed_and_stored__on_cloud_servers_using_the_Online_Think_speak_platform_ijariie21268.pdf (Accessed : )
IEEE Priyanka Tiwari, Akhil Pratap Singh, Pankaj Sharma, and Ujjwal Shukla, "Utilizing Internet of Things (IoT) technology for monitoring air quality through the detection of particulate matter, with data processed and stored on cloud servers using the Online Think speak platform," International Journal Of Advance Research And Innovative Ideas In Education, vol. 9, no. 4, pp. 1574-1589, Jul-Aug 2023. [Online]. Available: https://ijariie.com/AdminUploadPdf/Utilizing_Internet_of_Things__IoT__technology_for_monitoring_air_quality___through_the_detection_of_particulate_matter__with_data_processed_and_stored__on_cloud_servers_using_the_Online_Think_speak_platform_ijariie21268.pdf [Accessed : ].
Turabian Priyanka Tiwari, Akhil Pratap Singh, Pankaj Sharma, and Ujjwal Shukla. "Utilizing Internet of Things (IoT) technology for monitoring air quality through the detection of particulate matter, with data processed and stored on cloud servers using the Online Think speak platform." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 9 number 4 ().
Vancouver Priyanka Tiwari, Akhil Pratap Singh, Pankaj Sharma, and Ujjwal Shukla. Utilizing Internet of Things (IoT) technology for monitoring air quality through the detection of particulate matter, with data processed and stored on cloud servers using the Online Think speak platform. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2023 [Cited : ]; 9(4) : 1574-1589. Available from: https://ijariie.com/AdminUploadPdf/Utilizing_Internet_of_Things__IoT__technology_for_monitoring_air_quality___through_the_detection_of_particulate_matter__with_data_processed_and_stored__on_cloud_servers_using_the_Online_Think_speak_platform_ijariie21268.pdf
BibTex EndNote RefMan RefWorks

Number Of Downloads



Save in Google Drive

Similar-Paper

TitleArea of ResearchAuther NameAction
Implementation of Solar Based Irrigation Systems for Optimizing Agricultural EfficiencyElectronic and Telecommunication EngineeringPrajwal Aniruddha Deshpande Download
A CLOUD BAESD TRAFFIC MANAGEMENT SYSTEMELECTRONICS & TELECOMMUNICATION ENGINEERINGRUSHIKESH SAWANT Download
Performance Evaluation of a Robotic Child Rescue System for Borewell ApplicationsElectronics and telecommunication engineeringRohan Tathe Download
IoT Based Bank Security SystemE&TC EngineeringAjay Mishra Download
A Secure and Efficient Voice-Controlled Home Automation System Using ESP32 and Web APIsElectronics and telecommunication EngineeringPrathmesh Mane Download
A smart vehicle for farming taskElectronics and TelecommunicationChaitali Panduramg Kankate Download
SOLAR WIRELESS ELECTRIC VEHICLE USING CHARGING SYSTEMElectronic and communication Hima J Download
Literature Review on Fibre Bragg Grating Sensors: Principles, Fabrication Techniques, Applications, and Future ProspectsElectronics and Communication Engineering Yashaswini D Download
Literature Survey on Smart Optical Fiber based Respiratory Monitoring systemElectronics and communication engineering Sai Priyanka A M Download
An loT Based Novel Approach to Health Emergency Management Through Real-Time Data Acquisition and AnalysisHealth sectorDr Siddesh G K Download
DESIGN AND DEVELOPMENT OF RIVER SURFACE CLEANING ROBOT USING IOTElectronics and communication engineeringBALAJI B R Download
A Solar Powered Wireless Power Transfer for Electric Vehicle (EV) ChargingElectronics and Communication EngineeringDr. Siddesh G K Download
AI-XRAY: AUTOMATED LUNG CANCER AND PNEUMONIA DETECTIONElectronics and communication engineeringYASHASWINI H M Download
Predictive Health Monitoring for Proactive Public Safety and ManagementElectronics and Communication EngineeringROOPA G D Download
IMPROVING BRAIN CANCER DETECTION THROUGH AI DRIVEN OBJECT RECOGNAISATIONElectronic and communication Parvathi CM Download
12