Knowledge-based web service integration for industrial automation
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This document discusses a knowledge-based web service integration framework for industrial automation, emphasizing runtime adaptability and reconfiguration of manufacturing systems. It highlights the use of OWL for semantic service descriptions and outlines the architecture, system layout, and a demo link for practical application. The authors propose further work to enhance system performance and integrate additional reasoning capabilities.
Knowledge-based web service integration for industrial automation
- 1. Knowledge-based web service integration for industrial automation Date: July, 2014 Linked to: eScop Contact information Tampere University of Technology, FAST Laboratory, P.O. Box 600, FIN-33101 Tampere, Finland Email: fast@tut.fi www.tut.fi/fast Conference: 12th IEEE International Conference on Industrial Informatics, INDIN 2014. Porto Alegre, Brazil – July 27-30 2014 Title of the paper: Knowledge-based web service integration for industrial automation Authors: Borja Ramis, Luis Gonzalez, Sergii Iarovyi, Andrei Lobov, José L. Martinez Lastra, Valeriy Vyatkin, William Dai If you would like to receive a reprint of the original paper, please contact us
- 2. Knowledge-based web service integration for industrial automation Authors: Borja Ramis, Luis Gonzalez, Sergii Iarovyi, Andrei Lobov, José L. Martinez Lastra, Valeriy Vyatkin, William Dai {borja.ramis, luis.gonzalezmoctezuma, sergii.iarovyi, andrei.lobov, jose.lastra}@tut.fi, vyatkin@ieee.org, william.dai@ltu.se Tampere University of Technology Factory Automation Systems and Technology Lab 12th IEEE International Conference on Industrial Informatics, INDIN 2014. Porto Alegre, Brazil – July 27-30 2014
- 3. Outline 1. Introduction and motivation 2. Architecture 3. Production line system layout 4. OWL system model main classes and properties 5. System model instances 6. eScop demo link 7. System UI 8. Conclusions 9. Further work Knowledge-based web service integration for industrial 16/09/14 automation 3
- 4. Introduction and motivation (1) • Current research focuses on knowledge-based integration and on exploiting full potentials of run-time reconfiguration and adaptation of industrial automation systems • SOA eases the interactions for knowledge-based system, but the service description should be machine-readable • The means for such description lies in semantics, which can provide metadata about devices • OWL provides required level of abstraction for Knowledge Representation • OWL and SPARQL permits keeping the KR of system updated and controlling the workflow execution based on the KB Knowledge-based web service integration for industrial 16/09/14 automation 4
- 5. Introduction and motivation (2) • How to create a manufacturing system, which information is fully represented in ontology allowing runtime orchestration of manufacturing system (from visualization services to devices hosting control services)? Knowledge-based web service integration for industrial 16/09/14 automation 5
- 6. Architecture Knowledge-based web service integration for industrial 16/09/14 automation 6
- 7. Production line system layout Knowledge-based web service integration for industrial 16/09/14 automation 7
- 8. OWL system model main classes and properties Knowledge-based web service integration for industrial 16/09/14 automation 8
- 9. System model instances Class Instances Conveyor conveyor_1, conveyor_2, conveyor_3 Knowledge-based web service integration for industrial 16/09/14 automation 9 ConveyorZone input_Cell_1, input_Cell_2, input_Cell_3 output_Cell_1, output_Cell_2, output_Cell_3 systemInput, systemOutput workingPosition_Cell_1, workingPosition_Cell_2,workingPosition_Cell_3 ManufacturingCell manufacturingCell_1, manufacturingCell_2, manufacturingCell_3 Robot robot_1, robot_2, robot_3 ManufacturingCellStatus CelldownStatus, CellworkingStatus RobotStatus downStatus,executingStatus, idleStatus AssemblyOperation assemblyOperation_1, assemblyOperation_2, assemblyOperation_3, assemblyOperation_4, assemblyOperation_5, assemblyOperation_6 Component component_A, component_B, component_C, component_D, component_E, component_F
- 10. eScop demo link • ARTEMIS Co-Summit demonstration – Complete process execution and production line control runnable by introduction of SPARQL and SPARQL Update queries – Tutorial and guidelines for using the system – Access to OWL domain model and description – Dynamic User Interface for process monitoring – Link: http://www.escop-project.eu/teaser/ Knowledge-based web service integration for industrial 16/09/14 automation 10
- 11. System UI: Initial state Knowledge-based web service integration for industrial 16/09/14 automation 11
- 12. System UI: Query execution Knowledge-based web service integration for industrial 16/09/14 automation 12
- 13. Conclusions • The knowledge-based system and ontology is accessible online to test queries and get additional details on running implementation • This approach permits a knowledge-based integration of industrial automation systems • The presented knowledge-based service integration exploits full potentials of run-time reconfiguration of industrial systems • The presented model describes a generic production system ontology, adaptable to different use cases in the manufacturing domain Knowledge-based web service integration for industrial 16/09/14 automation 13
- 14. Further work • We plan to elaborate basic architecture blocks performance and handling of exceptional cases at the production floor • Runtime knowledge aggregation principles have to be elaborated, as the use of distributed Knowledge Bases and reasoning capabilities at embedded device level • Besides query algorithm utilization, we plan to add a set of rules, as SWRL rules, to support the knowledge and we expect to infer the model with the use of reasoner Knowledge-based web service integration for industrial 16/09/14 automation 14
- 15. Acknowledge • The research leading to these results has received funding from the ARTEMIS Joint Undertaking under grant agreement n° 332946 and from the Finnish Funding Agency for Technology and Innovation (TEKES), correspondent to the project shortly entitled eScop, Embedded systems for service-based control of open manufacturing and process automation. Knowledge-based web service integration for industrial 16/09/14 automation 15
- 16. THANK YOU! Any questions? http://www.youtube.com/user/fastlaboratory https://www.facebook.com/fast.laboratory http://www.slideshare.net/fastlaboratory Knowledge-based web service integration for industrial 16/09/14 automation 16