Publication
Robot CeDRI 2023: sub-system integration and health dashboard
| Summary: | With the constant increase in the volume of data generated and collected in several areas, data visualization has become more relevant to improve equipment management, reduce operational costs and increase process efficiency. This paper proposes developing a health monitoring system for an Autonomous Mobile Robots (AMR) equipment, which allows data acquisition and analysis for decision-making performed autonomously and by the equipment manager. Implementing the proposed system demonstrated favourable results in data acquisition, analysis, and visualization for decision-making. Using a hybrid control architecture, the data acquisition and processing showed to be effective, without significant impacts on the battery consumption or in the use of microcomputer resources embedded in the AMR. The developed dashboard demonstrated efficient data navigation and visualization, providing essential tools for decision-making by the platform administrator. This work contributes to the health monitoring of types of equipment as AMRs. It may be of interest to professionals and researchers in areas related to robotics and automation, especially those who work with equipment that uses Robot Operating System (ROS). Besides, the developed system is open-source, making it accessible and customizable in different contexts and applications. |
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| Main Authors: | França, André Luís |
| Subject: | Autonomous mobile robots Data visualization Dashboard |
| Year: | 2023 |
| Country: | Portugal |
| Document type: | master thesis |
| Access type: | open access |
| Associated institution: | Instituto Politécnico de Bragança |
| Language: | English |
| Origin: | Biblioteca Digital do IPB |
| Summary: | With the constant increase in the volume of data generated and collected in several areas, data visualization has become more relevant to improve equipment management, reduce operational costs and increase process efficiency. This paper proposes developing a health monitoring system for an Autonomous Mobile Robots (AMR) equipment, which allows data acquisition and analysis for decision-making performed autonomously and by the equipment manager. Implementing the proposed system demonstrated favourable results in data acquisition, analysis, and visualization for decision-making. Using a hybrid control architecture, the data acquisition and processing showed to be effective, without significant impacts on the battery consumption or in the use of microcomputer resources embedded in the AMR. The developed dashboard demonstrated efficient data navigation and visualization, providing essential tools for decision-making by the platform administrator. This work contributes to the health monitoring of types of equipment as AMRs. It may be of interest to professionals and researchers in areas related to robotics and automation, especially those who work with equipment that uses Robot Operating System (ROS). Besides, the developed system is open-source, making it accessible and customizable in different contexts and applications. |
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