a practical example to apply semantic technology in remote condition monitoring · 2016-07-20 ·...

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Unrestricted © Siemens AG 2016 All rights reserved. A Practical Example to Apply Semantic Technology in Remote Condition Monitoring YUAN, Yong, Senior Key Expert, Corporate Technology, Siemens Ltd. China

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Page 1: A Practical Example to Apply Semantic Technology in Remote Condition Monitoring · 2016-07-20 · Positive service Decrease spare parts Less spare parts stock Avoid redundant replacement

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

Page 2: A Practical Example to Apply Semantic Technology in Remote Condition Monitoring · 2016-07-20 · Positive service Decrease spare parts Less spare parts stock Avoid redundant replacement

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

Page 3: A Practical Example to Apply Semantic Technology in Remote Condition Monitoring · 2016-07-20 · Positive service Decrease spare parts Less spare parts stock Avoid redundant replacement

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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

Page 4: A Practical Example to Apply Semantic Technology in Remote Condition Monitoring · 2016-07-20 · Positive service Decrease spare parts Less spare parts stock Avoid redundant replacement

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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)

Page 5: A Practical Example to Apply Semantic Technology in Remote Condition Monitoring · 2016-07-20 · Positive service Decrease spare parts Less spare parts stock Avoid redundant replacement

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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

Page 6: A Practical Example to Apply Semantic Technology in Remote Condition Monitoring · 2016-07-20 · Positive service Decrease spare parts Less spare parts stock Avoid redundant replacement

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Jan 20, 2016Page 6

Step 1: to Identify the Critical Components

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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

Page 8: A Practical Example to Apply Semantic Technology in Remote Condition Monitoring · 2016-07-20 · Positive service Decrease spare parts Less spare parts stock Avoid redundant replacement

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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

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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

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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

Page 11: A Practical Example to Apply Semantic Technology in Remote Condition Monitoring · 2016-07-20 · Positive service Decrease spare parts Less spare parts stock Avoid redundant replacement

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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

Page 12: A Practical Example to Apply Semantic Technology in Remote Condition Monitoring · 2016-07-20 · Positive service Decrease spare parts Less spare parts stock Avoid redundant replacement

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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

Page 13: A Practical Example to Apply Semantic Technology in Remote Condition Monitoring · 2016-07-20 · Positive service Decrease spare parts Less spare parts stock Avoid redundant replacement

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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

Page 14: A Practical Example to Apply Semantic Technology in Remote Condition Monitoring · 2016-07-20 · Positive service Decrease spare parts Less spare parts stock Avoid redundant replacement

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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

Page 15: A Practical Example to Apply Semantic Technology in Remote Condition Monitoring · 2016-07-20 · Positive service Decrease spare parts Less spare parts stock Avoid redundant replacement

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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

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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;

Page 17: A Practical Example to Apply Semantic Technology in Remote Condition Monitoring · 2016-07-20 · Positive service Decrease spare parts Less spare parts stock Avoid redundant replacement

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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