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Abstract
Recently the technological advances have allowed the introduction of new standards to model and monitor control systems. The classical distributed measurement systems (DMSs) have been enriched with the use of a large number of new measurement devices, increasing the amount of produced data. New paradigms for their management are needed, that coupled with actuators, enable the integration of DMSs into more complex systems, known as Cyber-Physical Systems (CPSs). CPSs application field includes different areas such as health care, power management in smart micro grids, and, more in general, management and execution of time-dependent event-driven systems. This paper proposes a framework that allows the modelling, analysis and the implementation of CPSs. In particular, the proposed framework introduces an original feature called model continuity that offers the possibility of using a same model for both simulation phase and real-time execution phase.
Highlights
Nowadays new technologies such as Internet-ofThings [1] coupled with sensors miniaturization, offer the possibility to enrich Distributed Measurement Systems (DMSs) with a large number of measurement devices, that can be located everywhere and controlled, through internet connection
Industry 4.0 and health care, are just few examples of research areas, that offer new sophisticated techniques to upgrade the classical data management systems used in DMS, leading to new kind of systems, known as Cyber-Physical Systems (CPSs) [4]
This paper proposes a lightweight distributed agent-based methodology to develop CPS, as an extension of DMS
Summary
Nowadays new technologies such as Internet-ofThings [1] coupled with sensors miniaturization, offer the possibility to enrich Distributed Measurement Systems (DMSs) with a large number of measurement devices, that can be located everywhere and controlled, through internet connection. This has led to increase the productivity of the industries [2], or ameliorate the management of smart micro grids [3], but has made available a huge amount of measurements data. There is the tying together two different notions of time: discrete, for the computing units of the cyber-part, and Newtonian, associated to the physical process that needs to be supervised, because it can lead problems, such as system reaction loss to events of interest [8], or time constraints not satisfied [9]
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