Abstract
Industrial automation or assembly automation is a strictly monitored environment, in which changes occur at a good speed. There are many types of entities in the focusing environment, and the data generated by these devices is huge. In addition, because the robustness is achieved by sensing redundant data, the data becomes larger. The data generating device, whether it is a sensing device or a physical device, streams the data to a higher-level deception device for calculation, so that it can be driven and configured according to the updated conditions. With the emergence of the Industry 4.0 concept that includes a variety of automation technologies, various data is generated through numerous devices. Therefore, the data generated for industrial automation requires unique Information Architecture (IA). IA should be able to satisfy hard real-time constraints to spontaneously change the environment and the instantaneous configuration of all participants. To understand its applicability, we used an example smart grid analogy. The smart grid system needs an IA to fulfill the communication requirements to report the hard real-time changes in the power immediately following the system. In addition, in a smart grid system, it needs to report changes on either side of the system, i.e., consumers and suppliers configure and reconfigure the system according to the changes. In this article, we propose an analogy of a physical phenomenon. A point charge is used as a data generating device, the streamline of electric flux is used as a data flow, and the charge distribution on a closed surface is used as a configuration. Finally, the intensity changes are used in the physical process, e.g., the smart grid. This analogy is explained by metaphors, and the structural mapping framework is used for its theoretical proof. The proposed analogy provides a theoretical basis for the development of such information architectures that can represent data flows, definition changes (deterministic and non-deterministic), events, and instantaneous configuration definitions of entities in the system. The proposed analogy provides a mechanism to perform calculations during communication, using a simple concept on the closed surface to integrate two-layer cyber-physical systems (computation, communication, and physical process). The proposed analogy is a good candidate for implementation in smart grid security.
Highlights
Information and Communication Technology (ICT) is penetrating all aspects of industrial and manufacturing systems, accelerating the generation of large amounts of industrial data
We use an example of a smart grid, where the information requirements are difficult to implement in real time
Each node is similar to a point charge, and its surface is similar to the layer of nodes
Summary
Information and Communication Technology (ICT) is penetrating all aspects of industrial and manufacturing systems, accelerating the generation of large amounts of industrial data. Data generation takes the form of a stream; (b) Instant configuration of all devices in the process; (c) In order to process robust data, some kind of calculation is required during communication This analogy maps the natural phenomenon of electric charges placed in a closed surface, where sensing/monitoring nodes are placed in the environment. Because the IA of the smart grid system needs to meet multiple requirements of information, so that the system can detect, react and actively respond to changes in the system at the same speed when power occurs This analogy will provide the basis for the development of this type of information architecture, which has the ability to report electrical phenomena at the rate of occurrence.
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