ICT Opportunities and Challenges for Remote Services. Jouni Pyötsiä Head of BPA Unit Metso Automation

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1 ICT Opportunities and Challenges for Remote Services Jouni Pyötsiä Head of BPA Unit Metso Automation

2 Contents 1. Metso s Business Environment 2. Metso ICT Framework 3. ICT Solutions and Cases 4. Towards New Challenges 5. Summary 2

3 1. Metso s Business Environment 3

4 Life Cycle Commitment Products and services for all phases of plant s life Renewal opportunities Process performance New process solutions Process installation Process uptime 4

5 Innovation through Integration Sustainable innovation demands the close integration of ICT, automation technology and business processes. ICT Embedded Automation and Intelligence Business Models and Process Competitive Edge

6 2. Metso ICT Framework 6

7 Metso s ICT Environment Customers Metso EAI Business Hub Metso Paper Metso Minerals Metso Automation Business Partners Metso Ventures 7 Original plan 2001 Internet

8 Standardization Challenge Lot of selections are needed!! Open standards and protocols: Security - SSL - VPN (IPSec) Protocols - HTTP - SOAP Information and knowledge - XML - XSD (XML Schema Definition) - RDF (Resource Description Framework) - OWL (Web Ontology Language) Collaboration - RosettaNet - WebServices - SOAP, WSDL and UDDI / SOA Customers Vendors & Partners Employees Business Process - BPEL4WS (Business Process Execution Language) - Based on XML, WSFL and XLANG People Standard Library for Business Messages and Processes (XML, RosettaNet, SOAP, WSDL, etc.) Data Warehouse Portal CMMS ERP PDM Finance Business Management Platform EAI Hub Integration, Message Flows and Business Process Automation CRM Notes Billing Business Process Management (Business Process and Workflow Modeling) HR S2Si Other Application Partners Systems Marketplaces Customers Distributors Suppliers 8

9 3. ICT Solutions - Present Situation 9

10 Remote and Networked Service Solution 10

11 ICT in Lifecycle Management Remote Service Solution Metso business applications Enterprise application integration Remote connection Systems and embedded intelligence Messaging and integration 11

12 Site Hub - Solution Description The key issues in Site Hub design are: open standards, information security, reliability, connectivity and manageability. These requirements are met by combining a traditional EAI platform with new features, which are specially designed upon industrial needs. In addition to basic EAI functionality the Site Hub includes the following features: Message and Application management User Management Message security System and application monitoring Factory floor integration Partner network integration User interface support 12 CONFIDENTIAL

13 Remote and Networked Service Architecture Legacy systems Customer Site 1 Service Network Global Administrator Interface Metso Site R&D Connection to METSO EAI Site Hub Fire wall VPN Fire wall Central Hub Local Administrator Interface Customer Site 2 GPRS / GSM Fire wall Site Hub Single Devices Local Administrator Interface Fire wall Site Hub Customer Site n Legacy systems Local Administrator Interface 13

14 Case: Metso Automation Collaborative O&M

15 Collaborative Operations & Maintenance Solution Production Operation Maintenance Operation Sub-process level Function level Device level Monitoring and Triggering Collaborative O&M User Interface Integration and Messaging Cost analysis Work order planning Inventory management Maintenance action Analysing and reporting 15 Performance monitoring Triggering on exceptions Generation of alerts Preventive maintenance tasks Deviations Faults and feedback

16 Case: Metso Automation Smart valves

17 Smart Valve Analyses the data collected by FieldCare history databases Produces reports of the operation, health and recommended actions 17 CONFIDENTIAL

18 Case: Metso Paper

19 4. Towards New Challenges 19

20 Towards New Challenges Better interoperability Better information and knowledge management More automated analyzing and reasoning Better learning capabilities More effective business process automation Cost effectiveness 20

21 New Challenge Standard Interfaces 21

22 Future Service Business Environment Customer 9.Invoice (PIP 3C3) 7.Service Report (PIP 6CX3) 6.Service Delivery External Partner 3. Request Purchase Order (PIP 3A4) 2. Service Recommendation (PIP 6CX2) 6.Spare Part Delivery 1. Condition Alarm (PIP 6CX1) 2. Condition Alarm (PIP 6CX1) 2. Request Price and Availability (PIP 3A2) 5. Request Purchase Order (PIP 3A4) 8.Invoice (PIP 3C3) 22 Legend: Product and Service Delivery Information Flow Subcontractor

23 New Opportunity: Alliance for Process Industry Data Exchange (PRINDEX) and PRINDEX interface project 23

24 Vision Business vision: - Transparent data exchange interface facilitates easy application integration for engineering, maintenance and process automation systems - Guaranteed interoperability between different business parties - Remarkable cost reductions in workload - Opening new business opportunities and earning logic Technical vision: - Ensure interoperability between different applications over the business network (standard interface, message structure and naming conventions based on standard plant model) - The commonly agreed business rules will be implemented on the data exchange interface 24

25 XML XML XML Implementation Scenario Company back-end specific interface: Mapping, Transforming, Filtering, Security Mill A Product and Service Supplier Plant B Internet Public Standard for Industry Data exchange Plant C Consultants etc Project/installed base data Dictionary Web Service Project and lifecycle scenarios 25

26 New Challenge Field Agent 26

27 Technology Trends Intelligent Agents Multi-channel communication Networked based learning Embedded intelligence Objects PDM Simulation models Spare parts Devices, Modules, Function blocks...

28 Field Agent Concept Challenge: Network based learning Vision 1998 Field Agent Field Agent Field Agent From Information to Knowledge Maintenance Index Analysing Field Agent Server X Y Z A B Actions required C D Learning Time Installed Knowledge Base 28

29 New Challenge Semantic Approach 29

30 Semantic Web Development SmartResource Project Co-operation project with Industrial Ontologies Group, University of Jyväskylä SmartResource Project Leader Prof. Vagan Terziyan 30

31 SmartResource Project The projects is providing solutions, tools and platforms to make heterogeneous industrial resources (files, documents, services, machines, devices, processes, systems, human experts, etc.) web-accessible, proactive and co-operative. The main objective is to combine the emerging Semantic Web, Web Services, Peer-to-Peer, Machine Learning and Agent technologies for the development of smart maintenance management environment. 31 By Industrial Ontologies Group

32 General Adaptation Framework Two Stages of Adaptation XML 1 Based on Unified State/Condition Description XML Schema Semantic Adaptation: Based on Ontology of Templates and Mapping Rules XML 2 XML 0 - Devices - Machines - Systems - Sub-processes XML n Syntactic Adaptation: XSLT-Transformation 32 By Industrial Ontologies Group

33 SmartResource Project Layered Cake of Specifications OWL provides ontological extension for RDFS and RscDF Schema RscDF Schema for the maintenance domain RscDF document with encoded data RDF Specification as a language for data representation in an RscDF document RDFS contains ontological basis for RDF and RscDF XML as a basis for RDF, RDFS and document serialization 33 By Industrial Ontologies Group

34 Summary 1. Better customer services Easy factory floor integration Fast response Automatic triggering for all stakeholders - Condition monitoring and predictive maintenance - Process performance 2. Support new service business development Enable new collaborative business solutions and services High confidentiality and security 3. Operational excellence Easy implementation and maintenance Cost reduction through service process automation Open standards - Web Services (SOAP, WSDL, UDDI and SOA) - Semantic web (RDF and OWL) support in future 34

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