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MongoDB IoT City Tour EINDHOVEN: Industry 4.0 and the Internet of Things: Inmation

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Presented by, Timo Klingenmeier, General Manager, inmation GmbH & Co. KG

Industry 4.0 and the Internet of Things translate to new opportunities and new challenges for manufacturing corporations. The informed workforce requires access to vast amounts of data. Handling floods of data from the production floor across the organisation and in exchange with selected business partners is not a simple task, but when achieved it turns into a major competitive advantage. MongoDB’s strategic partner inmation has developed a middleware solution which combines intelligent industrial real-time connectivity with unlimited scalability and one uniform storage layer for all kinds of data structures – MongoDB.

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MongoDB IoT City Tour EINDHOVEN: Industry 4.0 and the Internet of Things: Inmation

  1. 1. IoT City Tour Presentation Realtime Data –The Source ofCorporate IntelligenceandAgility
  2. 2. IoT City Tour 1. Somethoughtson Industry4.0 2. Internet ofThings vs. Industrial Control (andpractices) 3. The OPC specificationin brief 4. Short round-trip through„Industrial Data“ 5. BenefitsofMongoDB beingan universal datastore 30 MinutestoCover
  3. 3. IoT City Tour The Problem
  4. 4. IoT City Tour “Classic”Industry
  5. 5. IoT City Tour 3.x Industry Material Flows Source: https://chemicalparks.eu/system/files/attachments/file/14/European_Pipeline_Infrastructure__Networks.pdf
  6. 6. IoT City Tour Goal is the “Smart Factory” Further Computerizationof Traditional Industries The Internet of Things Is Technological Foundation Industry 4.0 Drivers
  7. 7. IoT City Tour 4.0 Industry Effects End ofData Boundaries forIndividual Factories Data Interconnectability Between Sites Without Geographical Restrictions EnourmousGrowth of Production and Supplier Networks
  8. 8. IoT City Tour The Internet ofThings
  9. 9. IoT City Tour OurScope Realtime Data
  10. 10. IoT City Tour system:inmation
  11. 11. IoT City Tour SQL Text/XML NoSQL/Schema-flexible/BSON OPC Common Data Sources
  12. 12. IoT City Tour 1996 2013 1998 2001 2003 2006 2007 2009 OPC Data Access (DA) specificationestablished OPC Alarms and Events (A&E) specification established OPC Historical Data Access (HDA) specification established OPC Unified Architecture(UA) created OPC UA 1.0 becomesavailable First productsbasedon OPC UA OPC UA 1.01 becomesavailable OPC UA 1.02 becomesavailable OPC:OLE forProcessControl Source: www.opcfoundation.org
  13. 13. IoT City Tour Teachyourself… …andvisitwww.opcfoundation.org
  14. 14. IoT City Tour Source: www.intel.com OPC?
  15. 15. IoT City Tour Source: www.arduino.cc OPC!
  16. 16. IoT City Tour Source: http://www.ccj-online.com/ovation-upgrade-7fa/ AlwaysOPC!
  17. 17. IoT City Tour Advantages
  18. 18. IoT City Tour Simplification Advantages No schema pre-definition Few (sufficient) datatypes
  19. 19. IoT City Tour Data Types: Oracle, PL/SQL Source: www.techonthenet.com/oracle/datatypes.php Advantages
  20. 20. IoT City Tour Data Types: SQL Server Source: www.connectionstrings.com/sql-server-data-types-reference Advantages
  21. 21. IoT City Tour Data Types: OPC UA Advantages
  22. 22. IoT City Tour Advantages Data Types:
  23. 23. IoT City Tour Data Type Flexibility Advantages “Intrinsic” variants “Intrinsic” arrays
  24. 24. IoT City Tour Sample Storage: Each (sub-second accurate) measurement is stored as a “Micro-Document” o ObjectIdpoints into another collection which stores the context information for this item (e.g. measurement). c This is the distinct counter relative to the value updates which were received from the external data source. v A value submitted by an external (OPC) server, in whatever format. q The external quality (bit mask). t The original timestamp taken from the external server. h The timestamp of the historization process (and machine). Advantages
  25. 25. IoT City Tour Sample Storage: Different data types can be stored in the same “value” field: Advantages
  26. 26. IoT City Tour SummaryMongoDB is the perfect fit for Industrial Big Data • It has the performance and the scalability options required to store hi-freq data in huge amounts • Timestamp accuracy is sufficient • Schema (-less) flexibility fits the variant data structures, originated in (OPC) source systems • BSON is not only about storage, but also transport • Unbeatable value offer (both software and hardware utilization) • It exposes ‘natural’ data structures which simplify any kind of further analysis • Choose between private and public cloud storage
  27. 27. IoT City Tour
  28. 28. IoT City Tour Thank You.

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