Automated dashboard generation for machine tools with OPC UA compatible sensors
| Autor: | Jonas Wassermann, Mustafa Severengiz, Jörg Krüger, Garabet A. Topalian-Rivas |
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| Rok vydání: | 2020 |
| Předmět: |
0209 industrial biotechnology
Scope (project management) Process (engineering) business.industry Computer science Dashboard (business) 020207 software engineering 02 engineering and technology Modular design Automation Task (project management) Visualization 020901 industrial engineering & automation Resource (project management) 0202 electrical engineering electronic engineering information engineering InformationSystems_MISCELLANEOUS business Software engineering |
| Zdroj: | ETFA |
| DOI: | 10.1109/etfa46521.2020.9212136 |
| Popis: | Manufacturing processes provide large amounts of data which can be captured with current technology. Monitoring dashboards are visualization tools that help turn these data into knowledge in order to enhance production performance by supporting decision-making processes. However, configuring these dashboards can be a resource and time-consuming task when they must be tailored and customized among the various applications. The scope of this paper is to automate the configuration process of dashboards in order to ease their employment. In this fashion, end-users can experience a more efficient way of implementing monitoring dashboards on different cases. The idea of this work is to develop a dashboard system which provides autoconfiguration and adaptability. To achieve these goals, a modular automation concept is implemented. These features are demonstrated in a proof-of-concept called Automated Monitoring Dashboard (AMD) and its development is presented in this paper. |
| Databáze: | OpenAIRE |
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