Data-driven and Event-driven Integration Architecture for Plant-wide Industrial Process Monitoring and Control

Abstract

Efficiency of industrial processes and a high quality of the products can be achieved with advanced monitoring and control solutions. In addition, industrial processes often consume large amounts of energy and through their efficiency and use of resources also have a significant environmental impact. For industrial process optimisation it is necessary to integrate distributed data and functionality into plant-wide coordinating level solutions. From an implementation point of view this is challenging due to different communication protocols and messaging structures. In this paper an integration architecture is proposed that decouples control systems using a message bus mediator approach. The mediator acts as a unified point of access that through adapters facilitates integration of existing control systems to advanced plant-wide data-driven and event-driven control. It is demonstrated with a laboratory case presenting two examples applicable to real-life industrial problems.

Performance Supervised Plant-Wide Process Monitoring in Industry 4.0: A Roadmap

“…An attempt was made for control performance diagnosis with discrete monitoring outputs using Bayesian inference. From the communication point of view, some perspectives on the integration of the data-driven and event-driven processes were presented in [90], which addresses the challenges in deployments.…”

Model-Driven Approach for Realization of Data Collection Architectures for Cyber-Physical Systems of Systems to Lower Manual Implementation Efforts

“…In the scope of the COCOP project [ 18 ], a plant monitoring architecture is developed. Therefore, data from different hierarchical levels of the automation systems are collected.…”