Embedded System Design and Development for Data Acquisition and IoT-based Control and Monitoring using Event-Driven Techniques

Abstract

This research presents the Embedded System Design and Development for Data Acquisition and IoT-based Control and Monitoring using Event-Driven Techniques. The proposed system is designed and developed based on industrial-based applications. It consists of two subsystems, the event-driven data acquisition system, and a real-time IoT-based control and monitoring system. The data acquisition is implemented based on three different algorithms used for different signal event detections. All algorithms make the data acquisition acquire and store data only when desired events (conditions) are detected. It means that the requirement for storage space is extraordinarily low. This implementation technique also significantly reduces bandwidth when it is implemented in sensor nodes and real-time monitoring systems. All desired signal events are logged (or sent to the IoT application) with a high-precision timestamp. These techniques make engineers precisely perform system diagnostics. The proposed system also includes IoT-based real-time control and monitoring capability. It can be used to monitor sensing parameters and control actuators through a web application in a real-time fashion. We design and perform experiments to cover all possible normal use cases. The system can operate correctly as expected. We also evaluate the proposed algorithms to find out more practical information in terms of their performance and limitations by using generative signals with additive noises. The experimental results show that the system gives good results, and it can be used in real-world industrial, laboratory, and Internet-of-Thing applications.