Semantic Data Analytics for Integrated Energy and Industry Automation Systems Restricted Siemens AG All rights reserved

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Rudolph Mills
6 years ago
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Siemens Corporate Technology May 2013 Semantic Data Analytics for Integrated

plant plant A tree knows what a tree needs Examples for the regulation of

roots Open/ close stomata to regulate transpiration Guttation to actively get

regions with limited water supply Drop leaves in fall, i.e. before dry winter

2 plant plant A tree knows what a tree needs Examples for the regulation of water balance in trees Short-Term / Reactive Regulation of water intake in roots Open/ close stomata to regulate transpiration Guttation to actively get rid of surplus water Long-Term / Proactive Grow roots deeper/ broader in regions with limited water supply Drop leaves in fall, i.e. before dry winter comes Page 2 May 2013 Corporate Technology Restricted Siemens AG All rights reserved

3 plant plant? A tree knows what a tree needs Examples for the regulation of power balance in an industrial plant Short-Term / Reactive Storage for safe shutdown on power outage Protection against overcurrents Long-Term / Proactive? Local power generation triggered by grid failures Proactive coupling of energy production and consumption Page 3 May 2013 Corporate Technology Restricted Siemens AG All rights reserved

Siemens is organized in 4 Sectors: Industry, Energy, Healthcare and Infrastructure & Cities Siemens: Facts and Figures

Fossil Power Generation Wind Power Energy Oil & Gas Energy Service Power Transmission Solar & Hydro 2) Healthcare Divisions:

and Medium Voltage Infrastructure & Cities Smart Grid Building Technologies Osram 2) Sales: ~ 78 bn.

R&D engineers: ~29,500 Inventions: ~8,900 Active patents: ~57,300 ~ 21 bn. 1) ~ 28 bn. 1) Corporate functions Corp.

4 Siemens is organized in 4 Sectors: Industry, Energy, Healthcare and Infrastructure & Cities Siemens: Facts and Figures Siemens sectors Key figures FY 2012 Divisions: Industry Automation Industry Drive Technologies Customer Services Divisions: Fossil Power Generation Wind Power Energy Oil & Gas Energy Service Power Transmission Solar & Hydro 2) Healthcare Divisions: Imaging & Therapy Systems Clinical Products Diagnostics Customer Solutions Divisions: Rail Systems Mobility & Logistics Low and Medium Voltage Infrastructure & Cities Smart Grid Building Technologies Osram 2) Sales: ~ 78 bn. Locations: In 190 countries Employees: ~370,000 R&D expenses: ~ 4.2 bn. R&D engineers: ~29,500 Inventions: ~8,900 Active patents: ~57,300 ~ 21 bn. 1) ~ 28 bn. 1) Corporate functions Corp. Finance Corp. Technology Corp. Development ~ 14 bn. 1) ~ 18 bn. 1) Corporate Technology 1) Sales in FY ) Not included in sales figure Page 4 May 2013 Corporate Technology Restricted Siemens AG All rights reserved

5 CT Research and Technology Center: ~1,650 experts in 13 technology fields CT Research and Technology Center (RTC) Software Architecture Development IT Platforms IT Security Business Analytics & Monitoring Automation & Control Networks & Communication Systems Engineering Software quality Architectural design HQ 1) : Munich RGs 2) : 7 SW / System integration Middleware, cloud Enterprise IT HQ: Munich RGs: 10 Security architecture & lifecycle CERT services Embedded security HQ: Munich RGs: 8 Decision support Knowledge discovery Condition monitoring HQ: Munich RGs: 10 Modeling & simulation Engineering Runtime & optimization Solutions HQ: Princeton, US RGs: 12 Wireless & industrial networks Internet of things HQ: Munich RGs: 6 User Interface Design PLM process support HQ: Munich RGs: 11 Imaging & Computer Vision Materials Electronics Sensor Technologies Power & Actuators Energy Conversion Computer vision Image processing & analytics Materials development & processing Analytics Electronic design & manufacturing processes Assembly & test Sensor devices & system integration Inspection & test Power electronics & management Mechatronic systems Mechanical assembly Energy conversion & storage Environmental technologies Oil & gas HQ: Princeton, US RGs: 12 HQ: Berlin RGs: 8 HQ: Munich RGs: 8 HQ: Erlangen RGs: 9 HQ: Erlangen RGs: 9 HQ: Erlangen RGs: 9 1) Headquarters 2) Research Group Page 5 May 2013 Corporate Technology Restricted Siemens AG All rights reserved

(Just-in-Time) Manufacturing as conversion of flows

Logistics (raw materials, parts, ) Enterprise Resource

Execution System SCADA Outbound Logistics (Product) Page

6 (Just-in-Time) Manufacturing as conversion of flows System-view on JIT manufacturing scenario Inbound Logistics (raw materials, parts, ) Enterprise Resource Planning Energy (Procurement) Management Manufacturing Execution System SCADA Outbound Logistics (Product) Page 6 May 2013 Corporate Technology Restricted Siemens AG All rights reserved

7 The other side: Production as flexibility of the grid Global power grid perspective Grid-Level Energy Automation Grid-Level Energy Automation Site-Level Energy Automation source: File:Electricity_Grid_Schematic_English.svg Page 7 May 2013 Corporate Technology Restricted Siemens AG All rights reserved

8 Traditionally, these worlds meet on device level and Limited information flow (e.g. b.data) Proactive coupling requires all-level information exchange Page 8 May 2013 Corporate Technology Restricted Siemens AG All rights reserved

9 Integration over all layers poses new challenges Exemplary challenges to integrating industry and energy management Inter-Domain Knowledge Data Interoperability Semantic data analytics can help address these challenges Page 9 May 2013 Corporate Technology Restricted Siemens AG All rights reserved

Interoperability Formal modeling, ontologies Often straightforward Provable properties (consistency, ) Reveal implicit information Model/

10 Information interoperability as a basis Vision for semantic integration of models and data Industry World ANSI/ISA-18.2 DIN EN DIN EN DIN Energy World IEC IEC IEC ISO Inter-Domain Knowledge Data Interoperability Formal modeling, ontologies Often straightforward Provable properties (consistency, ) Reveal implicit information Model/ ontology matching Single, unified model Semi-automated integration Instance reconciliation Page 10 May 2013 Corporate Technology Restricted Siemens AG All rights reserved

Data mining for building knowledge Application potential for machine learning Inter-Domain Knowledge Data Interoperability Machine learning

11 Data mining for building knowledge Application potential for machine learning Inter-Domain Knowledge Data Interoperability Machine learning Correlations Causalities? Classical machine learning Relation mining Page 11 May 2013 Corporate Technology Restricted Siemens AG All rights reserved

Using grid data to drive production decisions Example for better

Knowledge Data Interoperability (1) +3h delay!

Production Assistance System (2) Wait? Reschedule?

12 Using grid data to drive production decisions Example for better decision making in production using grid information Inter-Domain Knowledge Data Interoperability (1) +3h delay! (3) Wind calm, cloudy. Power shortage! Production Assistance System (2) Wait? Reschedule? Emergency Logistics! (4) Reschedule!! Page 12 May 2013 Corporate Technology Restricted Siemens AG All rights reserved

13 Making the grid more resilient using production data Example for avoiding activation of reserve capacities based on production data (2) Increase output! (Based on historical demand) Inter-Domain Knowledge Data Interoperability (3) Non-scheduled maintenance for next 3 hours source: File:Electricity_Grid_Schematic_English.svg (1) Wind calm, cloudy. Power shortage! Page 13 May 2013 Corporate Technology Restricted Siemens AG All rights reserved

Thomas Hubauer Research Scientist CT RTC BAM KMR-DE Otto-Hahn-Ring 6 81739 Munich Germany Phone: +49 (89) 636 46964 Fax: +49 (89) 636 41423 Mobile: +49

15 Thomas Hubauer Research Scientist CT RTC BAM KMR-DE Otto-Hahn-Ring Munich Germany Phone: +49 (89) Fax: +49 (89) Mobile: +49 (173) thomas.hubauer@siemens.com siemens.com/innovation Page 15 May 2013 Corporate Technology Restricted Siemens AG All rights reserved

Overview. Corporate Technology. Munich, 18. September Siemens AG All rights reserved

Overview. Corporate Technology. Munich, 18. September Siemens AG All rights reserved Overview Corporate Technology Munich, 18. September 2012 Siemens is organized in 4 Sectors: ''Industry'', ''Energy'', ''Healthcare'' and ''Infrastructure & Cities'' Siemens: Facts and Figures Divisions: