Remote Environmental Monitoring System Using DHT11


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 :

  1. 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.
  2. 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.
  3. 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.
  4. 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.
  5. 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.

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