Design and Performance Analysis of Industrial Internet of Things Framework for OPC-UA Enabled Devices
Usman, Muhammad Umar (2024)
Usman, Muhammad Umar
2024
Automaatiotekniikan DI-ohjelma - Master's Programme in Automation Engineering
Tekniikan ja luonnontieteiden tiedekunta - Faculty of Engineering and Natural Sciences
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Hyväksymispäivämäärä
2024-09-30
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:tuni-202409118653
https://urn.fi/URN:NBN:fi:tuni-202409118653
Tiivistelmä
The Industrial Internet of Things (IIoT) has become a crucial element in industrial automation, providing advanced capabilities, including data acquisition, computing, and secure real-time communication. This thesis offers a framework that allows real-time communication with OPC-UA enabled devices over Fiware by facilitating read/write operations against the components of an OPC-UA Server. Fiware, a widely used open-source platform for developing industry smart solutions, is the backbone of this practical approach. The introduced framework not only provides scalable and efficient services to the smart industry but also contributes significantly to Industrial automation, IIoT. Addressing the requirements for OPC-UA devices and Fiware interoperability allows a smooth and efficient mechanism of communication and data acquisition. The implementation also allows to manage OPC UA enabled devices remotely via Fiware (cloud), providing users with the ability to manage these devices from anywhere in the world. The thesis also evaluates the performance of the components involved in the implementation through analytical study, addressing to their memory and space consumption, similarly stating their efficiencies during control operations and data exchange management. The results of performance analysis yield actionable insights into the proficiency of components of the framework, facilitating the performance optimization and scalability enhancement of the implementation. The extensive integration of OPC-UA enabled devices through Fiware has significant implications for the realm of Industrial Automation and Smart Industry, achieving communication and interoperability between heterogeneous industrial systems/devices. The scalability and efficiency of the framework render it a reliable tool for real-time operation in smart applications, offering a pragmatic solution to dive deep into research and exploration within industrial automation as well as IIoT