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CC\Dr. Heinrich Frontzek IPC 2015, Scharnhausen Created: 25/11/2015 Modified: 25/11/2015 1

How can automation play a leading role in developing the Smart Lab?

Steve Sands

Product Management

Festo GB


Automation: drivers, trends, enablers, concepts

Speed / Efficiency / Cost

Consistency / Traceability

Validation /Reproducibility

Flexibility

Standardised software

Improved interfaces [H2M,

M2M]

Reliability / Diagnostics

People + Automation: engaging

embracing

enhancing

drivers,trends,


Enablers

Industry 4.0

Platform technologies

New kinematics

Piezo control

Superconductivity


Internet of Things -> Industry 4.0

... digitising production, bringing

together the real and virtual worlds -

cyber and physical coming together…

CC\Dr. Heinrich Frontzek IPC 2015, Scharnhausen Created: 25/11/2015 Modified: 25/11/2015

Industry 4.0: one term – many technologies

Energy

Efficiency /

Transparency

Lean

Assembly

Big Data

Human-Machine

Interfaces (HMI)

Manufacturing

Execution System

(MES)

Open-Protocol-

Communication Unified

Architecture (OPC-UA)Real-Time

communicatio

n

Near Field

Communication

(NFC)

Intelligent

Logistics

Radio-Frequency

Identification

(RFID)

Enterprise-

Resource-Planning

(ERP)

Autonomous

Guided Vehicles

(AGV)Cyber Physical

Systems (CPS)

Augmente

d Reality

Soft /

Collaborative

Robotics Adaptive

Structures

Decentralise

d control

Condition

Monitoring

Autonomo

us

Behaviour

Clou

d


Industry 4.0: vision and innovation for tomorrow’s production

+ + +

=

Value added services

• Analysis

• Condition monitoring

• Cloud services

Business models

• Pay per user

• Predictive maintenance

• Customer support

Product NetworkingIntelligence Communication

Industry 4.0

Cyber-Physical systems

• Self-optimising

• Energy and load

transparency

• Self-learning and adaptive

• Communicating


- trade associations, business sectors and politics

Global collaboration: common language

Interdisciplinary, international collaboration:

• Standardisation of technologies

• Pilot projects -> practical implementation

• Business and organisational models


Industry 4.0 - common language

http://www.siemens.co.uk/future-of-manufacturing





Standards for software architecture and machine language along the value creation chain

Horizontal and vertical integration

/ AS-Interface

Communication at the

shop floor level

OPC UA

Interface standard for making data

available amongst various systems

<Automation ML/>

Combines the tools of the

engineering process

ServiceMaintenanceCommissioningProductionEngineeringConfiguration


• Secure, protected, accessible

• Platform and vendor independent

• Standardised connectivity via internet

• Service Oriented Architecture

OPC - Unified Architecture

CODESYS Softmotion controller

• Comprehensive information models

• Exchanging complex data

“...who am I ...”

“...what can do I ...”

“...what am doing I ...”

http://de.codesys.com/

http://de.codesys.com/


Automation Markup Language

Attributes

Devices

Networks

Mechatronics

Plant topology

Geometry

Kinematics

- in defined

data formats


Vision of the future – the CP training system

“... I finished my task”

“... proceed to station 2.”

Virtual emulation:

automatic start-up and reconfigurationPlug and produce components:

load sharing , pull through, self configuring

Condition Monitoring:

“… filter reports a contamination level of

95%”


Integrated intelligence

Cyber Physical components and systems: miniature, intelligent,

communicating

• High-performance IEC 61131 V3-based control unit

• RFID antenna

• NFC antenna

• OPC-UA interface

• ... sensor interfaces

Replaces standard cabling and configuration in a single module


Enablers

Industry 4.0

Platform technologies

New kinematics

Piezo control

Superconductivity


Enablers: piezo control valves

Applications

Pressure control

Pressure over liquid

Force control

Why?

Quiet

Precise

Long life

Low energy


Enablers: modular automation platforms


Digitising automation

• Flexible

• Modular

• Intelligent

• Self configuring


Enablers: versatile kinematics integrated

X Y

Z

R

Optimise

d

Payload

Access

Space

Speed

Accuracy


Learning from nature: concepts demonstrating production of the future

Adaptation Function integration

Collective Behaviour

Human-machine

interaction

Collaboration

Energy efficiency Self-organisation Self-learning


Embedding sustainable innovation in our

DNA


3D Cocooner


FreeMotion

handling


Superconductivity


Thank you

Steve Sands

Product Management

Festo GB

how can automation play a leading role in developing the ... › downloads › ra16 ›...

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