The purpose of this thesis was to highlight the importance and performance aspects of Embedded System devices, focusing on the RuuviTag system in Industrial Automation environments. The RuuviTag is a wireless sensor beacon developed by Ruuvi Ltd (RuuviTag Technical Specifications 2023). The study was aimed to explore the benefits and potential disadvantages of using standardized and open-source Embedded Systems in technical environments, and to evaluate the future developments of these systems based on the RuuviTag.
The research methodology involved both theoretical and practical applications. Providing a comprehensive literature review that was conducted to establish a theoretical foundation. This was followed by the practical implementation of the RuuviTag system within an industrial setting, specifically focusing on its implementation with a Raspberry Pi 3B+ to function as an Edge Gateway. The data collected from the RuuviTag was then transmitted and visualized using ThingsBoard, an open-source Internet of Things (IoT) platform for device management. The stages of the study included system setup, hardware and software configuration, data collection, and analysis of the system's performance in real-time environments.
The study found that the RuuviTag system, when implemented with a Raspberry Pi 3B+, effectively collected and transmitted environmental data with high accuracy and reliability. The implementation demonstrated significant improvements in data acquisition and real-time monitoring capabilities. Additionally, the use of ThingsBoard allowed for efficient data visualization and analysis, providing valuable insights into the system's performance and potential areas for optimization.
The findings highlight the potential of open-source sensor devices like the RuuviTag to enhance industrial automation processes. The study concludes that such systems offer considerable benefits in terms of cost efficiency, flexibility, and scalability. The successful integration of the RuuviTag with existing industrial systems suggests promising applications for larger implementations in various technical environments. This research contributes to the understanding of how Embedded Systems can be utilized to improve operational efficiency and supports the case for further development and deployment of these technologies in industrial settings