Developing a Cloud-Based Automated Internet of Things Framework for Industrial Applications using AWS

This study introduces a cloud-based Industrial Internet of Things (IIoT) framework, leveraging the infrastructure of Amazon Web Services (AWS). With a focus on flexible data management and secure device communication, the framework employs dynamic topic assignment and strategic utilization of device shadows. It proposes three specialized IIoT pipelines catering to functions such as data storage, reporting dashboards, real-time monitoring, and anomaly detection. Practical demonstration of the platform is realized with a physical ESP32-based IIoT device, followed by scalability testing through simulation involving hundreds of devices, highlighting both the effectiveness and scalability of the framework. Additionally, a novel approach for securely uploading historical data using AWS pre-signed URLs enhances the platform's analytical capabilities. Overall, this research presents a robust solution for cloud based IIoT applications, empowering organizations to optimize operations and make informed decisions through comprehensive data analysis.