Data Acquisition for Control Level Automation for SMEs: Requirements and Architecture

This paper proposes the architecture for a system to acquire the real-time data on the control level in the shop floor. The main role of proposed system is to generate labeled dataset while tracking a process and extracting its context. The generated dataset is combined the heterogeneous data from the sources such as production equipment, ad-hoc sensors, and key-in devices. In addition, the context is derived from a set (or a sequence) of processes, procedures, operations, or phase instances defined in ISA-88. Finally, the dataset and the context are used for the predictive analysis on the control level of the automation system.