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Industrial Automatic Control Systems and Controllers

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Module for Processing POST-requests of the IoT Service and Exporting Industrial Automated Control System Data from the Cloud Infrastructure to Local Storage
L.A. Shapetko, E.V. Kurnasov, S.E. Harkovsky

The work is aimed at increasing the level of digital transformation of industrial automated control systems. It is shown that an important role in the development of this concept is played by the merger of Internet of Things (IoT) and cloud computing technologies. The problem of interaction of the cloud computing level with the data localization level of the industrial automated control system is identified, in particular, the lack of flexible solutions for integrating the processed cloud data into the local storage of the industrial automated control system. We consider the Azure IoT cloud services, which significantly simplify the work with application solutions based on the Internet of Things technology. Scenarios of data export from this cloud are analyzed. An algorithm for solving the problem of processing and exporting cloud telemetry data of industrial automated control systems is presented. A cloud function module is proposed that implements the processing of POST-requests of the IoT service and writes exported cloud data to a database hosted on a local server (SQL Server) of an industrial automated control system. The proposed solution was tested using functional and static software testing methods.
Keywords: automatization; ACS; IoT; Azure IoT; cloud services; Azure Functions; database; C#; SQL.


DOI: 10.25791/asu.6.2021.1289

Pp. 37-45.

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