Priemysel 4.0 - Optimalizácia zberu online dát pre priemyselné roboty
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Vysoká škola báňská - Technická univerzita Ostrava
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This diploma thesis deals with the design and implementation of a web server for data collection from ABB company industrial robots. The aim of this thesis is to create a tool which would ensure continuous data collection, storage, visualization and provision this data to individual clients through the API interface. The theoretical section describes an interface for obtaining data from robots, existing applications and their main shortcomings. The practical section acquaints the reader with various stages of system design, implementation, testing and the final deployment. The outcome of the thesis is a fully functional tool for monitoring robots. Extensive performance testing is also included to verify the applicability of the final solution in a production environment at the anticipated load.
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information system, web server, robot, data collection, Industry 4.0, .NET Core, React, JMeter, SonarQube, Docker, Azure IoT Edge, Azure DevOps, PostgreSQL