Knowledge Representation of Cyber-physical Systems for Monitoring Purpose
| Autor: | Elena Fersman, Swarup Kumar Mohalik, Didem Gürdür, Ramamurthy Badrinath, Anusha Mujumdar, Aneta Vulgarakis Feljan, Jad El-khoury |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Production Engineering
Human Work Science and Ergonomics Computer and Information Sciences 0209 industrial biotechnology Knowledge management Knowledge representation and reasoning business.industry Computer science Produktionsteknik arbetsvetenskap och ergonomi Cyber-physical system Data- och informationsvetenskap Robotics 02 engineering and technology Business objectives 020901 industrial engineering & automation Robotteknik och automation Work (electrical) 0202 electrical engineering electronic engineering information engineering General Earth and Planetary Sciences Manufacturing Surface and Joining Technology 020201 artificial intelligence & image processing Bearbetnings- yt- och fogningsteknik business General Environmental Science |
| Zdroj: | Procedia CIRP |
| ISSN: | 2212-8271 |
| DOI: | 10.1016/j.procir.2018.03.018 |
| Popis: | Automated warehouses, as a form of cyber-physical systems (CPSs), require several components to work collaboratively to address the common business objectives of complex logistics systems. During the collaborative operations, a number of key performance indicators (KPI) can be monitored to understand the proficiency of the warehouse and control the operations and decisions. It is possible to drive and monitor these KPIs by looking at both the state of the warehouse components and the operations carried out by them. Therefore, it is necessary to represent this knowledge in an explicit and formally-specified data model and provide automated methods to derive the KPIs from the representation. In this paper, we implement a minimalistic data model for a subset of warehouse resources using linked data in order to monitor a few KPIs, namely sustainability, safety and performance. The applicability of the approach and the data model is illustrated through a use case. We demonstrate that it is possible to develop minimalistic data models through Open Services for Lifecycle Collaboration (OSLC) resource shapes which enables compatibility with the declarative and procedural knowledge of automated warehouse agents specified in Planning Domain Definition Language (PDDL). QC 20180530 SCOTT |
| Databáze: | OpenAIRE |
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