Node-RED and IoT Analytics: A Real-Time Data Processing and Visualization Platform
DOI:
https://doi.org/10.5281/zenodo.13856859Keywords:
Node-Red, IoT Analytics, Data Visualization, Raspberry Pi.Abstract
With the advent of IoT, vast amounts of data are generated by sensors and devices in real-time, posing significant challenges in terms of processing and analyzing the data due to its complexity and scale. This paper investigates the integration of Node-RED and IoT analytics for real-time data processing and visualization in the context of the Internet of Things (IoT). Node-RED is an open-source visual programming tool that simplifies the development of IoT applications by providing an intuitive interface for designing data flows between devices and services. On the other hand, IoT analytics offers a range of techniques and tools for processing and analyzing IoT data in real-time. A comprehensive overview of Node-RED and IoT analytics and their potential synergy for developing real-time IoT applications is discussed. Furthermore, it presents a case study of an industrial IoT system that leverages Node-RED and IoT analytics to process and visualize real-time data from multiple sensors, demonstrating the effectiveness of the integrated approach in reducing development time and complexity while providing a flexible and scalable solution. The study underscores the significance of integrating Node-RED and IoT analytics for developing real-time IoT applications. It offers a user-friendly interface for designing data flows and enables real-time processing and visualization of IoT data, promising a powerful approach to overcome the challenges of real-time data processing and visualization in the IoT domain, that supports productive business decisions. In the end, it presents potential future research directions to enhance their performance and reliability.
References
A. Medina-Pérez, D. Sánchez-Rodríguez, and I. Alonso-González, “An Internet of Thing Architecture Based on Message Queuing Telemetry Transport Protocol and Node-RED: A Case Study for Monitoring Radon Gas,” Smart Cities, vol. 4, no. 2, pp. 803–818, May 2021, doi: 10.3390/smartcities4020041.
C. Simpkin, I. Taylor, D. Harborne, G. Bent, A. Preece, and R. K. Ganti, “Efficient orchestration of Node-RED IoT workflows using a Vector Symbolic Architecture,” Futur. Gener. Comput. Syst., vol. 111, pp. 117–131, Oct. 2020, doi: 10.1016/j.future.2020.04.005.
I.-V. Nițulescu and A. Korodi, “Supervisory Control and Data Acquisition Approach in Node-RED: Application and Discussions,” IoT, vol. 1, no. 1, pp. 76–91, Aug. 2020, doi: 10.3390/iot1010005.
A. Zare and M. T. Iqbal, “Low-Cost ESP32, Raspberry Pi, Node-Red, and MQTT Protocol Based SCADA System,” in 2020 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS), Sep. 2020, no. November 2021, pp. 1–5. doi: 10.1109/IEMTRONICS51293.2020.9216412.
C. A. Osaretin, M. Zamanlou, M. T. Iqbal, and S. Butt, “Open Source IoT-Based SCADA System for Remote Oil Facilities Using Node-RED and Arduino Microcontrollers,” in 2020 11th IEEE Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON), Nov. 2020, pp. 0571–0575. doi: 10.1109/IEMCON51383.2020.9284826.
D. Torres, J. P. Dias, A. Restivo, and H. S. Ferreira, “Real-time Feedback in Node-RED for IoT Development: An Empirical Study,” in 2020 IEEE/ACM 24th International Symposium on Distributed Simulation and Real Time Applications (DS-RT), Sep. 2020, pp. 1–8. doi: 10.1109/DS-RT50469.2020.9213544.
L. O. Aghenta and M. T. Iqbal, “Development of an IoT Based Open Source SCADA System for PV System Monitoring,” in 2019 IEEE Canadian Conference of Electrical and Computer Engineering (CCECE), May 2019, no. November 2021, pp. 1–4. doi: 10.1109/CCECE.2019.8861827.
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