Real-Time Data Visualisation for the IoT Application in Industrial Motor using Digital Twin Technology

The world of IoT services offers extensive opportunities to connect devices and upload data to the cloud, enabling data-driven decisions, AI model processing, and dynamic visualizations through powerful dashboards. Simultaneously, the ease of use of data visualization tools has been a driving force behind the widespread adoption of tools like Tableau, which leads the market in this domain. This paper presents a comprehensive account of creating interactive visualizations for real-time data from IoT applications, utilizing Tableau as a business intelligence tool. It highlights the significance of real-time data analytics in the IoT context and showcases how interactive visualizations can provide valuable insights and facilitate prompt decision-making. By leveraging the capabilities of IoT services, cloud connectivity, Digital Twin Technology can unlock the potential of their data, leading to better performance and a competitive edge in today's fast-paced business environment. A digital twin is a virtual representation or digital replica of a physical object, process, or system. It is designed to accurately mirror its real-world counterpart, enabling real-time monitoring, simulation, and analysis. Digital twins can be used in various industries to improve operations, optimize performance, and predict future outcomes.