INDUSTRIAL AUTOMATION - PAST, PRESENT, FUTURE · 2018-07-25 · INDUSTRIAL AUTOMATION - PAST,...
Transcript of INDUSTRIAL AUTOMATION - PAST, PRESENT, FUTURE · 2018-07-25 · INDUSTRIAL AUTOMATION - PAST,...
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INDUSTRIAL AUTOMATION - PAST, PRESENT, FUTURE
Professor Günther Schmidt
Institute of Automatic Control EngineeringTechnische Universität München
Plenary Presentation IECON, Nagoya, Japan
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Abstract
Global markets, changing customer demands, and progress in process, manufacturing, transportation and information technologies bring about new ways of looking at current automation techniques and technologies. The presentation discusses how improvements in automation system performance and value can be achieved by borrowing and incorporating technologies from areas such as computers, communications, networking, robotics and mechatronics and by integrating even methods of e-commerce and e-business. As a result ”Industrial Automation” is in the process to evolve into the broader area of “Industrial Information Technology and Automation”. This development has a major impact on management of automation projects and also on education of automation engineers.
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Numerous Areas of Modern Automation
• Production
• Transportation, Distribution
• Logistics
• Traffic: Air, Ground, Marine
• Products
• Services
• Intellectual Processes
• . . . . . .
• Production
• Transportation, Distribution
• Logistics
• Traffic: Air, Ground, Marine
• Products
• Services
• Intellectual Processes
• . . . . . .
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INDUSTRIAL AUTOMATION - PAST, PRESENT, FUTURE
TOPICS
• MILESTONES AND ACHIEVEMENTS OF IA
• INDUSTRIAL INFORMATION TECHNOLOGYAND AUTOMATION
• NEXT-GENERATION CHALLENGES
• CONCLUDING REMARKS
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INDUSTRIAL AUTOMATION - PAST, PRESENT, FUTURE
• MILESTONES AND ACHIEVEMENTS OF IA“We can‘t understand the future
without knowing the past“
• INDUSTRIAL INFORMATION TECHNOLOGYAND AUTOMATION
• NEXT-GENERATION CHALLENGES
• CONCLUDING REMARKS
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19th Century: First Automatic Machines
Power Loom with Bartlett Let-off Mechanism:discontinuous control operation
“Lap“ (Steam) Engine, James Watt , 1788:continuous control operation
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.... 1950: Era of Instrumentation
Automation Tasks• Single Control Loops• Monitoring and Recording• Simple Signal Processing
Automated Processes• Steel und Automobile Industry• Chemical Processing• Power Generation
Instrumentation Designs• Electromechanical• Pneumatic, Hydraulic• DC-Amplifier
Hardwired Control Functions• Analog Signal• Relay Logic
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1960: Beginning of Modern Industrial Automation
First Digital Computers for Real-Time Industrial Applications (IBM)
First Industrial Robots(Unimate, GM)
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A Remarkable Milestone
• Comprehensive View of IA, Discussing Technological as well as Related Business and Social Issues
• Objectives and Directions still Remain Major Driving Forces and Challenges of Current Developments
Automation: “Key Enabling Factor“
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A Remarkable Milestone
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ContentsContents
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1980: Multi-Microcomputer Based DCS, PLC, SCADA, ...
Systems• Decentralized Architecture• Standard and Customized
Integrated Electronic HW• Industrial Robots
Flexible Control Software• CFC and SFC Algorithms• Configurable HMI• Serial Bus Communication
Automated Factories• Large-Scale Industrial Plants• Manufacturing, Production• Transportation, Distribution
Automation Tasks• Multivariable Control• Sequential Control• Coordination, Optimization• Fault Detection
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List of Abbreviations
DCS Distributed Control SystemPLC Programmable Logic ControlHMI Human Machine InterfaceSCADA Supervisory Control and Data AcquisitionSFC Sequential Function Chart ControlCFC Connectionist Fuzzy ClassifierCNC Computer Numerical Control MachineEDI Electronic Data InterchangeOPC Open Interface over PC-based Software
by means ofOLE Object Linking and EmbeddingPCR Polymerase Chain ReactionCE Cost Effectiveness AnalysisCACSD Computer Aided Control System Design RFID Radio Frequency IDentification
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13PlantPlant
1990: Beginning of Information Age in IA “From Signal-orientation to Information-orientation“
Industrial Automation Technologyestablishes a
Plant-wide, Real-time Digital Nervous System
Ethernet TCP/IP
Operator,HMI
Automation,Control
Data Communication
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ProcessingIndustries
(Continuous)
DCS,Motion Control
HybridIndustries
(Continuous/Batch)+ Discrete)
DCS + PLC,Motion Control
ManufacturingIndustries(Discrete)
PLC, CNC,Motion Control
IA Solutions Developed by System IntegratorsIA Solutions Developed by System Integrators
Industrial Efficiency, Productivity and Safety Closely Linked to Advances in IA
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Growth of Productivity in Steel Production
Volume Staff Productivity
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Major Contributions of IA in the Recent Past
• Computers, Interfaces and Related Components forSafe, Real-Time, Closed-Loop Operations in a great Variety of Harsh Industrial Environments
• Novel HW- and SW-Systems for Advanced Controland Color CRT-HMI Technology
• Robot Technology as Means of Flexible Automation
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Major Contributions of IA (cont‘d)
• Conceptual, Methodological, Theoretical Foundations for Analysis and Design of Sophisticated Automation Functions
• Modelling and Simulation Techniques and SW-Tools for CAD/CAE-Approaches in Automation
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INDUSTRIAL AUTOMATION - PAST, PRESENT. FUTURE
• MILESTONES AND ACHIEVEMENTS OF IA
• INDUSTRIAL INFORMATION TECHNOLOGYAND AUTOMATION
• NEXT-GENERATION CHALLENGES
• CONCLUDING REMARKS
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Industrial Information Technology and Automation
• Impact of Innovative Technology
• New Requirements to IA from Plant-floor
• Open Automation System Platforms
• Vertical and Horizontal Integration by IT
• General Trends and Driving Forces
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Global Market Volume for IA Equipment
Total: 150 Billion Euro(excluding mechanics)
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Changes in IA Scope, Examples
Enterprise Technology Solution, Yokogawa
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Totally IntegratedAutomation, Siemens
Industrial IT,ABB
Changes in IA Scope (cont‘d)
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FROM IA TO INDUSTRIAL IT AND AUTOMATION
• New Buzzwords and Topics:ERP: Enterprise Resource PlanningMES: Manufacturing ExecutionPAM: Plant Asset ManagementLCM: Life Cycle ManagementSupply Chain ManagementLogistics & ServicesE-Commerce.......
• Familiar Topics: Automation, Control, Sensors, ...
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PC and Web-Based Operations Enterprise-Wide Digital Nervous System
1999
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Industrial Information Technology and AutomationIndustrial Information Technology and Automation
Enterprise-Wide Information FlowEnterprise-Wide Information Logistics
FROM IA TO INDUSTRIAL IT AND AUTOMATION
„... with the Goal to Integrate Automation Systems in Real-timefrom Pursuit of Orders via Traditional or E-Commerce Methods
right through Production and Delivery of Finished Products“
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Industrial Information Technology and Automation
• Impact of Innovative Technology
• New Requirements to IA from Plant-floor
• Open Automation System Platforms
• Vertical and Horizontal Integration by IT
• General Trends and Driving Forces
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Manufacturing Layer of an E-Business Model
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Information Management links Automation, Enterprise, Suppliers and Customers
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Vertical Integration of Enterprise by ITTransparency of all Business Processes,
e. g. by Means of Open Standardized Communication
ERP
OPC
-Dat
aAc
cess
MES
HMI
Automation, Control
I/O-Devices
OPC
-Dat
aAc
cess
PlanningDomain
OperativeDomain
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Vertical and Horizontal Integration by IT
ERP
MES
Automation,Control
I/O-Devices
Integration of Applications on MES, DCS Levels
Plant
Real-TimeData Access
Interconnection of the Various Digital Nervous SystemsInterconnection of the Various Digital Nervous Systems
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Industrial Information Technology and Automation
• Impact of Innovative Technology
• New Requirements to IA from Plant-floor
• Open Automation System Platforms
• Vertical and Horizontal Integration by IT
• General Trends and Driving Forces
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From Proprietary Systems to Open Automation System PlatformsCost Reduction in DCS by Use of Standards
• Official Standards, e.g.Ø IEC 1131-3 PLC Programming LanguageØ IEEE 802.3 Ethernet
• Consortium-Developed Standards, e.g.Ø Profibus PAØ Foundation Fieldbus
• De Facto Standards, e.g.Ø Microsoft Windows CEØ Java Sun Microsystems
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Open Platform Automation Systems
• PC, Laptop, Notebook • Mobile Phone• Internet• Ethernet• ....
COTS-Software• Microsoft Windows• Web Browsers• ....
Cost Reduction by Commercial-off-the-Shelf HW and SW
COTS-Hardware
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Open Systems Approach in IA
• Real-time Capability
• 24 hrs Availability
• Robustness
• Safety, Security
• EMC
Essential Industrial Requirements
• .....
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• Present Controls Market• Present Controls Market
• Future Controls Market• Future Controls Market
PLC56%CNC
20%
DCS14%
Custom10%
OCS62%
PLC18%
CNC11%
DCS5%
Other4%
Open Platform Control Systems (OCS)
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OCS Approach in IA
Drawbacks for Users• Develop Systems Specifications• Select and Evaluate Products• Responsibility for Integration and Trouble-shooting• ....
• Reducing Initial and Maintenance Cost• Increased Performance by Advances in Technology• Ability to Integrate Special Purpose Products• ....
Benefits for Users
Unsolved Problems for Users and Suppliers• Incompatibility of Technology Cycles in IA and IT Investments: 10 years to 1 year
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Mid-term and Long-term Trends
• From Proprietary to Interoperable and Interchangable Systems, Sensors and Actuators
• DCS, PLC, .... may become a “Throw-Away-Item“ ?
• DCS, MES, ... Automation Services via Internet from Remote Service Provider ?
• ...
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Future Role of IA Companies
IA Equipment Supplier
IA-HW and SW System Integrator
IA/IT Solution and Service Provider:Total Life Cycle Management
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Industrial Information Technology and Automation
• Impact of Other Innovative Technology
• New Requirements to IA from Plant-floor
• Open Automation System Platforms
• Vertical and Horizontal Integration by IT
• General Trends and Driving Forces
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E-nose CYRANOSE• 32 PolymerComposite Sensor Elements
• PCA Analysis
Sensors for Complex Physical and Chemical Quantities
Monitoring and Control in Process Industries:Foods, Pharmaceuticals, .....
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“Intelligent“ Components Through Embedded Sensors and Sensor Data Fusion/Integration• Fault Detection• Predictive Maintenance• Asset Management
Remote RoboticsSubseaEquipment
Embedded Sensors / Actuator Systems
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Multiplex PCR andCE Analysis on a Chip;
MEMS Technology, e.g. Laboratory on Chip (LOC)
ornl, Laser Spectroscopy and Microinstrumentation Group
Real-time Multiplex Product Analysison a Micro Chip
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Ø Polymer Reaction Ø Steel Continuous
CastersØ Semiconductor
Material Production
Ø Recycling
Ø .......
Advanced Process Control and Optimization
Digital Imaging and Advanced Image Analysis
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Mobile Phone as Router
3rd GenerationMobile Radio Communication
Short-haul Wireless Communication Technologies
Ø Reconfiguration of Production Line without Extensive RewiringØ Communication from and to Sensors / Actuators
Sensor/Actuator
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GPS-/GalileoSatellites
VHF-Telemeter Data
Mobile Station
Reference Station
Location-based Services and Supply Chain ControlIn/Outdoor Tracking and Tracing of Object and Person Location
RFIDTag/
Reader
I
I
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Internet
Plant Domain
EnterpriseDomain
Intelligent Appliance Silicon Chip Technology
I/O-Devices
HMI, CAEMaintenance,E-services
Totally Distributed Architectures Through Networking
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Internet
Built-for-Purpose IT Devices
WLan, BluetoothZigBee, etc
PalmTop asEmbedded Logic Controller
Control / Automation Systems Assembled out of BFPs
WirelessTechnologies
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• Distributed Parallel Processing
• Penta/Tera-flops of Performance
• Decision-making in Closed-Loop Automated,High-Quality Demand-Based Production
• Advanced SPC/SPQincluding Data-Mining Techniques
Potential applications in IA, e.g.
Scalable Supercomputer Technology
• Terabytes of High-speed Memory
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Industrial Information Technology and Automation
• Impact of Innovative Technology
• New Requirements to IA from Plant-floor
• Open Automation System Platforms
• Vertical and Horizontal Integration by IT
• General Trends and Driving Forces
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Requirements from the Plant-floor
• Deregulation, Regulatory or Economical Constraints
• Trimming of Primary Buffers
Ø Operation Closer to Constraints, without Violation
Ø Operate Process Closer to Capacity andStability Limits
• Novel Manufacturing and Processing Techniques, e.g. inØ Biotechnological OperationsØ Discrete Parts Manufacturing: “Digital Factory“Ø Microelectronics Manufacturing
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Reactor Line in a Multi-Product, Multi-Stream Batch Process
Biotechnology PlantFlexible Automation: Management of Equipment, Product Recipes;
Integral Control of Production and Cleaning of Equipment
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Assembly of Model Mix with Thousands of Options on a Single Production Line
Demand-based Pull-type Discrete ManufacturingFrom Scheduled to Demand-based Flow Techniques
• Close Coupling between MES and IA System• Short Cycle Production Feedback• Flexible Material Handling and Assembly by Intelligent Robots
• Improvements in Quality and Deliverability• Reduced Lead Time• Reduced Inventory• Customized Products • ....
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Electronic Chip Manufacturing in Mega FabsReduce Contamination by Minimizing Retention Time of Operators in Facility through Higher Degree of Automation
• Sophisticated Automated Waver and Material Handling Systems• Real-time Equipment and Run-to-run Supervisory Control
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Automation of Container Terminals/YardsIncrease Productivitiy by Automation
• Sophisticated Automated Container Handling Systems: Automated Guided Vehicles (AGV), Stacking Cranes (AST)
• Advanced Management and Navigation Software
Source: Gottwald GmbH, Düsseldorf
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RotterdamTerminal
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INDUSTRIAL AUTOMATION - PAST, PRESENT, FUTURE
• MILESTONES AND ACHIEVEMENTS OF IA
• INDUSTRIAL INFORMATION TECHNOLOGYAND AUTOMATION
• NEXT-GENERATION CHALLENGES
• CONCLUDING REMARKS
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Selected Examples of Emerging Processing and Manufacturing Technologies
• Microreactors in Chemical Process Engineering
• Genomics: Systems for High-Throughput Screening, Synthesis and Sequencing
• Automatic Design and Manufacturing of Robotic Lifeforms
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Scalable and Just-in-Time Production with Desk-top Microreactor Systems
Automated Production Line
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CombiChemMicroreaction NetworkBased on FlowFETs
FlowFET Structureincl. Sensors / Actuators
ChemicalProduct
ControlledOperation
Microreactor Chips and Networks
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NEXT-GENERATION CHALLENGES
• Microreactors in Chemical Process Engineering
• Genomics: Systems for High-Throughput Screening, Snythesis and Sequencing
• Automatic Design and Manufacturing of Robotic Lifeforms
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62Compound Retrieval and Weighing
VIDEO
Dispenser: 50 nl to 5 μl
High-throughput Screening and Synthesis
Automation Robots for Preparation ofScreening
Cope with Combinatorial Complexity through Parallel Operations and Sophisticated IA Approaches
Including Data Mining Techniques
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NEXT-GENERATION CHALLENGES
• Microreactors in Chemical Process Engineering
• Genomics: Systems for High-Throughput Screening,Snythesis and Sequencing
• Automatic Design and Manufacturing of Robotic Lifeforms
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The Golem Project: “Create a walking creature out of ......“ http://golem03.cs-i.brandeis.edu/index.html
Artificial Evolutionary Design Process Connectes to Rapid Prototyping Machine
Example: Automation of Cognitive Mental Processes
Real Virtual
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Design and Manufacturing: Results and Performance
Virtual
Real
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Prototype Model for a Novel Paradigm ofAutomated Design and Manufacturing ?
Notable Aspects of this Research
• Evolutionary Design in Virtual World:Ø Dynamic Process Based on Feedback Control
• Integration of Virtual Design and Rapid Prototyping Shows Features of Autonomy, Self-Organization and Artificial Life
Ø Simultaneous Information and Physical Processing
Ø Behaviour Optimization via Performance Feedback Loop
• Possible Expansions of ApproachØ Coupling of Performance Evaluation in Real World with
Evolutionary Design Process
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Overall Challenges of IA at the Beginning of 21st Century
• Optimization of Technological Operations on Plant-floor• Optimization of Entire Business Performance by Streng-
thening of the Enterprise-wide Digital Nervous System• Mastering of Complexity
Incorporation of Technologies from IT & Telecommunications and Innovations in Industrial Electronics, Robotics etc.
• Open wide Avenues for Novel IA Solutions & Applications• Define a New Role of IA as IA / IT Solution and Service
Providers for Complex Industrial Activities and Operations
Concluding Remarks
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Concluding Remarks, cont’d
This presentation did not focus novel theoretical and methodological aspects going along with the sketched
technological evolution from
IA to IIT&A.
Those prove to be manifold, e.g. control and communication, or reconfigurable, cognitive, agent-based controls, etc
Discussion underscores activities at major universities to creation of a novel academic discipline
Services Science, Management, and Engineering Services Science, Management, and Engineering -- SSMESSME
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Examples of Current Theoretical and Methodological Research
System Theory of Automation
SW Infrastructure for IIT&Automation
Safety, Security, Diagnosis
Modelling, Simulation and Control of
+ Dicrete Event Systems+ Hybrid (discrete-continuous) Systems
Reconfigurable Controls
Multi-Agent-based & Cognitive Controls
Networked Controls
Cooperation of Humans, Machines, Robots
System Biology, Biomedical Systems
System Theory of Automation
SW Infrastructure for IIT&Automation
Safety, Security, Diagnosis
Modelling, Simulation and Control of
+ Dicrete Event Systems+ Hybrid (discrete-continuous) Systems
Reconfigurable Controls
Multi-Agent-based & Cognitive Controls
Networked Controls
Cooperation of Humans, Machines, Robots
System Biology, Biomedical Systems
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INDUSTRIAL AUTOMATION - PAST, PRESENT, FUTURE
Plenary Presentation IECON, Nagoya, Japan
RésuméRésumé
“Digital Industries, Economies and Societies of the 21st Century
will Heavily Depend on Continuous Progress in Industrial IT and Automation“
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