Unrestricted © Siemens AG 2016 All rights reserved.
A Practical Example to Apply Semantic Technology in Remote Condition MonitoringYUAN, Yong, Senior Key Expert, Corporate Technology, Siemens Ltd. China
Unrestricted © Siemens AG 2015 All rights reserved.
Jan 20, 2016Page 2
Self Introduction
Education Background
Have been working in Siemens for 10 years from 2005 with focus on industrial wireless communication technology and plant cloud service relevant topics;
1) Major in Electronics Engineering for Bachelor (1995-1999) and Master degree (1999-2002) in Yunnan University;
2) Electronics Engineering for PhD degree (2002-2005) in Huazhong University of Science and Technology;
Work Experience
Research Interests
1) Domain ontology setup for car assembly line; 2) Application of semantic technology for remote condition monitoring in
some real use case;
Semantic technology; Plant data service; SOA related technology;Industrial wireless communication technology;
Past Project Highlights
YUAN Yong
Unrestricted © Siemens AG 2015 All rights reserved.
Jan 20, 2016Page 3
Basic Vision for Siemens Plant Cloud Services: open cloud platform
Open cloud platform• Open standard (OPC) for connectivity of Siemens and
third-party products
• Plug and play connection of Siemens products (engineering in the TIA Portal)
• Cloud for industry with open application interface for individual customer applications
• Siemens industry apps: asset analytics, energy analytics, industrial network analytics, etc.
Picture from “On the way to Industry 4.0- The Digital Enterprise”, Klaus Helmrich, Hannover Messe, 2015
Unrestricted © Siemens AG 2015 All rights reserved.
Jan 20, 2016Page 4
Real use case: Chinese SMEs see plant data service as essential for their business development
Pilot partner: OEM Partner for Car Assembly Line
Pilot Background/Objective1) New business model, Production Line as a Service:
Transparent pay-per-use pricing modelOpportunities for completely new business models (e. g. selling machine hours)
2) Technical needs: Reliability guarantee; Reduction of maintenance cost; Reduction of the spare part stock for maintenance;
Facts & Figures• Automotive production line equipment provider with big market
share • About 30% of the orders have service contract attached (1 year
service after installation)
Unrestricted © Siemens AG 2015 All rights reserved.
Jan 20, 2016Page 5
Requirements and Opportunities for Chinese SME
Requirements: 1) Besides reliable product/system, remote data driven service, e. g. preventive maintenance, has been identified as a
key business driver and differentiator by many Chinese SMEs.
Increase OEE
Reducing downtime,
Less number of emergence
repair,
Increase maintenance
qualityHistorical
reportFast fault locationOptimize planning
Positive service
Decrease spare parts
Less spare parts stock
Avoid redundant
replacement
Decrease maintenance
cost
Fewer engineers
Less dependent on experts
Professional image
Apply government
bonus on technology update &
innovation
Opportunities: 1) New business model: Production line as a Service, Pay-per-use pricing model
Unrestricted © Siemens AG 2015 All rights reserved.
Jan 20, 2016Page 6
Step 1: to Identify the Critical Components
Unrestricted © Siemens AG 2015 All rights reserved.
Jan 20, 2016Page 7
Step 2: to Mount Sensors and Carry out Project Specific Commissioning Work
Manual site description by Visio drawing
Manual configuration for data acquisition: trigger, preprocessing
Manual dashboard and reportgeneration
Unrestricted © Siemens AG 2015 All rights reserved.
Jan 20, 2016Page 8
Key Challenges in Real Project Deployment
Lack of digital site description: have to rely on Visio, photos and talk
Manual configuration for data acquisitionTricky trigger definition:Need to capture right data at the right time
Manual data analysis:Dashboard and report are manually done
Vibration data size comparison(one cycle,50s)
Raw Data size
Data point quantity
Filtereddata size
Total Saved
9MB 2 110KB 17.89MB
High threshold and efforts for onsite engineering makes solution not easily repeatable
Modeling Tool
Unrestricted © Siemens AG 2015 All rights reserved.
Jan 20, 2016Page 9
Modeling Tool: Basic Idea
Domain specific templates are prepared as semantic model through the demo case;
Templates and generated model can be imported and exported as XML/RDF files;
Next step: Import standard templates model, for example through PLM software
Unrestricted © Siemens AG 2015 All rights reserved.
Jan 20, 2016Page 10
Modeling Tool to Annotate Data Content with Context Information
Physical setup with raw data
Events with semantic tag by correlating raw data from different sources
Information model defined by semantic keywords
Modeling tool
Events ProcessingEngine
Unrestricted © Siemens AG 2015 All rights reserved.
Jan 20, 2016Page 11
Key Challenges in Real Project Deployment
Lack of digital site description: have to rely on Visio, photos and talk
Manual configuration for data acquisitionTricky trigger definition:Need to capture right data at the right time
Manual data analysis:Dashboard and report are manually done
Vibration data size comparison(one cycle,50s)
Raw Data size
Data point quantity
Filtereddata size
Total Saved
9MB 2 110KB 17.89MB
Modeling ToolSmart Data Logger with App Container
Unrestricted © Siemens AG 2015 All rights reserved.
Jan 20, 2016Page 12
Smart Data Logger with App Container
Sensor
Driver
OPC UA Adapter
Sensors Interface
OPC UA Interface
App Container
Smart Data Logger
Embedded Linux BasedIndustrial AppStore
Unrestricted © Siemens AG 2015 All rights reserved.
Jan 20, 2016Page 13
Key Challenges in Real Project Deployment
Lack of digital site description: have to rely on Visio, photos and talk
Manual configuration for data acquisitionTricky trigger definition:Need to capture right data at the right time
Manual data analysis:Dashboard and report are manually done
Vibration data size comparison(one cycle,50s)
Raw Data size
Data point quantity
Filtereddata size
Total Saved
9MB 2 110KB 17.89MB
Modeling ToolContext Broker
Unrestricted © Siemens AG 2015 All rights reserved.
Jan 20, 2016Page 14
Context Broker with Knowledge Base
Layout Engine Diagnosis Engine Modelling Tool
Context Broker
Knowledge Base
Common
Knowledge
Domain
Knowledge
Site Setup
e.g. conveyor line driving unit
e.g. definition of “drive” e.g. MotorA drives GearboxB
Report Generator
Unrestricted © Siemens AG 2015 All rights reserved.
Jan 20, 2016Page 15
Example to Setup Domain Knowledge
Vibration at motor is transmitted to the gearbox via shaft connectionVibration at motor is transmitted to the foundation by a linkage functionality and a connection. Vibration in the foundation is transmitted to the gearbox by a linkage functionality and a connection
PROV SSN
EDDL FONM
QUDT eCL@ss
Provenance Sensors description
Device description Objects, devices, functionality
Quantities, units Functional taxonomy
Core ontologies used
Unrestricted © Siemens AG 2015 All rights reserved.
Jan 20, 2016Page 16
Knowledge Based Automatic Analytics and Report Generation
Use of knowledge base:
Automatic analytics for the motor health status by the knowledge of force transmission;
Automatic diagnostic report generation with root cause identification;
Unrestricted © Siemens AG 2015 All rights reserved.
Jan 20, 2016Page 17
Conclusion
Big market from Chinese SMEs for plant data service
Threshold and efforts for project specific engineering works must be reduced for repeatable solution
Semantic technology plays an important role for modeling & analytics to simplify the project specific engineering works