Embedded service oriented          monitoring, diagnostics and control:          towards the asset-aware and self-recovery...
Embedded service orientedmonitoring, diagnostics and control:towards the asset-aware and self-recoveryfactory             ...
Outline1.   Motivation2.   Background3.   The eSONIA vision4.   Current development5.   Future work
Outline1.   Motivation2.   Background3.   The eSONIA vision4.   Current development5.   Future work
1.     Motivation [1/3]In Europe Manufacturing represents the 22% of the GDP and up to 60% is expend on production costThe...
1.      Motivation [2/3]•   Enterprise-wide Middleware•   Services at device level•   Networked embedded systems•   Intera...
1.      Motivation [3/3]• Service descriptions using semantics• Loosely coupled and high cohesion apps
Outline1.   Motivation2.   Background3.   The eSONIA vision4.   Current development5.   Future work
2.   Background     videos
Outline1.   Motivation2.   Background3.   The eSONIA vision4.   Current development5.   Future work
3.      The eSONIA view1.   IPv6-embedded devices2.   On-board specialized services3.   SOA interoperability4.   Easy inte...
Outline1.   Motivation2.   Background3.   The eSONIA vision4.   Current development5.   Future work
4.   Current development [1/4]                                                    App                      Application Lay...
4.   Current development [2/4]
4.      Current development [3/4]Apps:• 3D positioning• 3D visualization• KPI engine• Maintenance prediction• Production m...
4.   Current Development [4/4]Physical View       Logical View
Outline1.   Motivation2.   Background3.   The eSONIA vision4.   Current development5.   Future work
6.      Future work• Communication Enterprise-wide in a real industrial use case• Native IPv6 in WSN• Performance and QoS
Thanks for your attentionQ&A
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Embedded service oriented monitoring, diagnostics and control: towards the asset-aware and self-recovery factory

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Embedded service oriented monitoring, diagnostics and control: towards the asset-aware and self-recovery factory

by Axel Vidales Ramos

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  • Manufacturing is seen as a black box which you input capital and returns capital. The black box consumes 60% of the capital.Therefore it is needed to fully understand the industries in a holistic and continuous approach (behaviours in Collaborative Networks)
  • Middleware: Pervasive middleware for the whole enterprise.Services at device level: Services are embedded en devices with very limited HW (e.g. TelosB or other WSN platform)Networked embedded systems: Embedded systems are exposed directly to the whole enterprise using IPv6 without the need for gateways.Interaction of services: Devices exchange information about themselves and their environment (toward the asset-awareness and self-recovery).
  • Service descriptions using semantics: The semantics of the services is described using ontology languages to automate m2m communication. Loosely coupled and high cohesion apps: Several apps from several companies should be inserted as plug-and-play applications
  • Ri-MACS: Devices are exposed as services via a gateway with more resources.SODA: Development of a service stack for embedded devicesSOCRADES: SODA stack is used in the context of control and monitoring. Orchestration and Decision Support System Tools (among other) where created.eSONIA: Further apps are created for asset-awareness and self-recovery (e.g. KPI calculation, 3D positioning, maintenance forecast)AESOP: A monitoring reference architecture for Industrial SOA.
  • 1. Pervasive heterogeneous(wired and wireless)IPv6 embedded devices2. Bringing on-board specialized services3. Glued trough a middleware capitalizing the service oriented approach.All that will be used in industrial cases (automotive, construction and pulp & paper manufacturing) in order to provide monitoring/diagnosis/prognostics/control.
  • The eSONIA project aims to provide an industrial IPv6 ecosystem solution. Therefore, the following five efforts for facilitating the transition of IPv4 to IPv6 have been developed:1. An IPv6 stack for embedded controllers: Available at thelwIP open source project.2. An industrial DPWS over IPv6 Smart RTU: A commercial product, spin-off of eSONIA.3. Integration of legacy devices via Application an Layer Gateway: Provide connectivity to RS232, Modbus and ZigBeeUnit: Smart Remote Terminal UnitsOS: freeRTOSHW: Atmel AT91SAM7X51232-bit ARM7 processor512 Kb in Flash 128 Kb in SRAM55 MHzUnit: Wireless SensorOS:ContikiHW: AVR Raven8-bit AVR Microcontroller128 Kb in Flash8 Kb in SRAM16 MHz
  • The factory floor contains embedded devices exposing functionality as a service.The middleware can be transported over common IT technology.Assets obtain information from other assets in order to provide asset-awareness, this link is provided using WS technology (WS-Addressing and WS-Eventing) Service functionality is described using a semantics.Apps: next slide
  • eSONIA plans on proving this concept by providing 3d positioning and visualisation: Exposes information about the asset itself towards asset-awarenessKPI calculation: Aggregates the information from various asset. This is referred as context-awareness of the asset.Maintenance prediction: Application which detects when the asset needs attention (e.g. Device running low on battery), towards self-recovery.Production monitoring: Monitoring of production to identify bottlenecks or faulty machines (e.g. High energy consumption), towards enterprise visualization.Real-time optimization: First step is to detect that something is faulty (asset-awareness) and then is up to the user or application to act accordingly (self-recovery).
  • Physical View: Demobox, in the left top it can be seen the wireless sensor (ZigBee) and the IPv6 controllers.In the right side (Ligical View) can be seen the structure Web Service Device (or SOAP-WS device)
  • An optimized DPWS stack over IPv6 for standard computers and mobile devicesA Wireless Sensor Network infrastructure using 6LoWPAN
  • Embedded service oriented monitoring, diagnostics and control: towards the asset-aware and self-recovery factory

    1. 1. Embedded service oriented monitoring, diagnostics and control: towards the asset-aware and self-recovery factoryDate: July, 2011 Conference: The 37th AnnualLinked to: eSONIA (ARTEMIS Research Conference of the IEEE IndustrialProject Call2010) Electronics Society Title of the paper: Embedded service oriented monitoring, diagnostics and control: towards the asset-aware and self- recovery factory Authors: Axel Vidales, Ivan M.Contact information Delamer, Prof. Jose L. Martinez LastraTampere University of Technology,FAST Laboratory,P.O. Box 600, If you would like to receive a reprint ofFIN-33101 Tampere, the original paper, please contact usFinlandEmail: fast@tut.fiwww.tut.fi/fast
    2. 2. Embedded service orientedmonitoring, diagnostics and control:towards the asset-aware and self-recoveryfactory Mr. Axel Vidales Ramos Dr. Ivan M. Delamer Prof. Jose L. Martinez Lastra Tampere University of Technology, Finland
    3. 3. Outline1. Motivation2. Background3. The eSONIA vision4. Current development5. Future work
    4. 4. Outline1. Motivation2. Background3. The eSONIA vision4. Current development5. Future work
    5. 5. 1. Motivation [1/3]In Europe Manufacturing represents the 22% of the GDP and up to 60% is expend on production costThe industries need to be understood in a holistic and continuous approach
    6. 6. 1. Motivation [2/3]• Enterprise-wide Middleware• Services at device level• Networked embedded systems• Interaction of services
    7. 7. 1. Motivation [3/3]• Service descriptions using semantics• Loosely coupled and high cohesion apps
    8. 8. Outline1. Motivation2. Background3. The eSONIA vision4. Current development5. Future work
    9. 9. 2. Background videos
    10. 10. Outline1. Motivation2. Background3. The eSONIA vision4. Current development5. Future work
    11. 11. 3. The eSONIA view1. IPv6-embedded devices2. On-board specialized services3. SOA interoperability4. Easy integration of apps
    12. 12. Outline1. Motivation2. Background3. The eSONIA vision4. Current development5. Future work
    13. 13. 4. Current development [1/4] App Application Layer Web Service Presentation Layer Session Layer Transport Layer TCP | UDP IPv4 | IPv6 Network Layer 6LoWPAN Data Link Layer IEEE 802.3 | IEEE 802.11 | IEEE 802.15.4 Physical Layer
    14. 14. 4. Current development [2/4]
    15. 15. 4. Current development [3/4]Apps:• 3D positioning• 3D visualization• KPI engine• Maintenance prediction• Production monitoring• Run-time optimization
    16. 16. 4. Current Development [4/4]Physical View Logical View
    17. 17. Outline1. Motivation2. Background3. The eSONIA vision4. Current development5. Future work
    18. 18. 6. Future work• Communication Enterprise-wide in a real industrial use case• Native IPv6 in WSN• Performance and QoS
    19. 19. Thanks for your attentionQ&A

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