Authors :
Hajar Zrioual; Isogun Toluwalase Adewale; Cherkaoui Bahaa Eddine
Volume/Issue :
Volume 9 - 2024, Issue 11 - November
Google Scholar :
https://shorturl.at/qXQ7c
Scribd :
https://shorturl.at/bNF79
DOI :
https://doi.org/10.38124/ijisrt/IJISRT24NOV200
Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.
Abstract :
This document proposes the implementation
of a remote environmental monitoring system using the
DHT11 sensor, NodeMCU microcontroller, and
ThingSpeak IoT analytics platform. It emphasizes the
importance of temperature and humidity measurements
in industrial applications and the value of real-time
monitoring for safety and process optimization. The
proposed system leverages the DHT11 sensor's
capabilities to provide precise and continuous data,
which is transmitted to ThingSpeak for visualization and
analysis. The methodology section details the system's
structural design, analytical approach, and code analysis,
highlighting its adherence to IoT principles. The results
and discussion section presents the system's performance,
demonstrating its accuracy and potential for data-driven
decision-making. However, it also acknowledges the
limitations of the DHT11 sensor and suggests areas for
further analysis and improvement. Overall, the
document provides a comprehensive overview of the
system's architecture, methodology, and results,
showcasing its potential for environmental monitoring in
industrial and IoT applications.
Keywords :
DHT11, NodeMcu, IOT, Wireless Communication.
References :
- Leigh, C., Alsibai, O., Hyndman, R., Kandanaarachchi, S., King, O., McGree, J., Neelamraju, C., Strauss, J., Talagala, P., Turner, R., Mengersen, K., & Peterson, E. (2018). A framework for automated anomaly detection in high frequency water-quality data from in situ sensors.. The Science of the total environment, 664, 885-898 . https://doi.org/10.1016/j.scitotenv.2019.02.085.
- Shakthidhar, S., Srikrishnan, P., Santhosh, S., & Sandhya, M. (2019). Arduino and NodeMcu based Ingenious Household Objects Monitoring and Control Environment. 2019 Fifth International Conference on Science Technology Engineering and Mathematics (ICONSTEM), 1, 119-124. https://doi.org/10.1109/ICONSTEM.2019.8918730.
- Kondratenko, Y., Atamanyuk, I., Sidenko, I., Kondratenko, G., & Sichevskyi, S. (2022). Machine Learning Techniques for Increasing Efficiency of the Robot’s Sensor and Control Information Processing. Sensors (Basel, Switzerland), 22. https://doi.org/10.3390/s22031062.
- Susheela, K., Harshitha, E., Rohitha, M., & Reddy, S. (2019). Home Automation and E-Monitoring Over ThingSpeak and Android App. Lecture Notes in Networks and Systems. https://doi.org/10.1007/978-981-13-3765-9_14.
- Lin J-Y, Tu H-L, Lee W-H. An Integrated Wireless Multi-Sensor System for Monitoring the Water Quality of Aquaculture. Sensors. 2021;21(12):4038. doi:10.3390/s21124038
This document proposes the implementation
of a remote environmental monitoring system using the
DHT11 sensor, NodeMCU microcontroller, and
ThingSpeak IoT analytics platform. It emphasizes the
importance of temperature and humidity measurements
in industrial applications and the value of real-time
monitoring for safety and process optimization. The
proposed system leverages the DHT11 sensor's
capabilities to provide precise and continuous data,
which is transmitted to ThingSpeak for visualization and
analysis. The methodology section details the system's
structural design, analytical approach, and code analysis,
highlighting its adherence to IoT principles. The results
and discussion section presents the system's performance,
demonstrating its accuracy and potential for data-driven
decision-making. However, it also acknowledges the
limitations of the DHT11 sensor and suggests areas for
further analysis and improvement. Overall, the
document provides a comprehensive overview of the
system's architecture, methodology, and results,
showcasing its potential for environmental monitoring in
industrial and IoT applications.
Keywords :
DHT11, NodeMcu, IOT, Wireless Communication.