connected hydraulics in der praxis industrie4.0 …...case study: bosch plant homburg hop2 smart...

Janette Kothe | DC/PJ-i 40 | 9/25/2017© Bosch Rexroth AG 2017. All rights reserved, also regarding any disposal, exploitation, reproduction, editing, distribution, as well as in the event of applications for industrial property rights.1

Connected Hydraulics How to sell Industry 4.0? … Workshop

Partner Inspiration Days 2017Sundbyholm Slott, 25.9.2017

Janette Kothe Bosch Rexroth AG

Partner Inspiration Days 2017

J.Kothe | 9/25/2017© Bosch Rexroth AG 2017. All rights reserved, also regarding any disposal, exploitation, reproduction, editing, distribution, as well as in the event of applications for industrial property rights.2

Photo Protocol 1/3

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Potentials

Partner Inspiration Days 2017

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Industry 4.0 &

Hydraulics

Partner Inspiration Days 2017

Janette Kothe | DC/PJ-i 40 | 9/25/2017© Bosch Rexroth AG 2017. All rights reserved, also regarding any disposal, exploitation, reproduction, editing, distribution, as well as in the event of applications for industrial property rights.4

Potentials

How to becomemore productive?

User in Focus

Partner Inspiration Days 2017

Janette Kothe | DC/PJ-i 40 | 9/25/2017© Bosch Rexroth AG 2017. All rights reserved, also regarding any disposal, exploitation, reproduction, editing, distribution, as well as in the event of applications for industrial property rights.5

IoT Enablement

Intelligent

Adaptive

Digital life-cycle

management

Secure value-creat ion network

Virtual

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Minimize YourDowntime

Streamline Your Installation

Maximize Your Productivity

Simplify Your Design

Boost your Use Case

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Minimize YourDowntime

Smart Maintenance

Partner Inspiration Days 2017Smart Maintenance as an exemplary Use Case

Partner Inspiration Days 2017

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Photo Protocol 2/3

Partner Inspiration Days 2017

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Photo Protocol 3/3

ConnectedHydraulicsLIVE

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Partner Inspiration Days 2017

Janette Kothe | DC/PJ-i 40 | 9/25/2017© Bosch Rexroth AG 2017. All rights reserved, also regarding any disposal, exploitation, reproduction, editing, distribution, as well as in the event of applications for industrial property rights.8

Case Study: Bosch Plant Homburg HoP2Smart Maintenance: Monitoring of Operating Conditions, Filter Contamination and Oil cleanliness

Production Performance Manager

-25%Maintenance costs

-20% Complexity for manual testing

Existing test facility without

IT-Connection

+5%OEEIoT Gateway+ +

ROI <1,5 years

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Machine Learning Model

Training Data Training Phase Machine Learning Model

Raw Sensor Data

Partner Inspiration Days 2017

TrainingData

Prediction

Erro

r

Predictive maintenance by machine learning and big data

Hel mut Fischer, DC-IH/SAL4,7 | 9/25/2017© Bosch Rexroth AG 2017. All rights reserved, also regarding any disposal, exploitation, reproduction, editing, distribution, as well as in the event of applications for industrial property rights.11

Pum

p H

ealth

[%]

Service action:Pump replaced

Anomaly detected:Service action planned

Partner Inspiration Days 2017

Result:Prediction of a bearing faultPump fully functional until serviceUnplanned stop was avoidedMinimal effect on production, pump was changed on a weekend

Example: Fault Detection on a Pump in an HPU

Predictive maintenance by machine learning and big data

Partner Inspiration Days 2017

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Accelerate a Use Case: InsightLive Augmented Remote Support

Challenge:How to scale

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VDMA Predictive Maintenance 4.0

\nJ.Kothe | 9/25/2017\n© Bosch Rexroth AG 2017. All rights reserved, also regarding any disposal, exploitation, reproduction, editing, distribution , as well as in the event of applications for industrial property rights.18 Scale by Evolution.

VDMA Predictive Maintenance 4.0

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Guiding Questions on Industry4.0 Connectivity Stacks

VDMA Predictive Maintenance 4.0

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DAQ Rate

StorageRedundancy

Computation Power

1. Where to apply what?

VDMA Predictive Maintenance 4.0

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2. How to turn Data into Information?

VDMA Predictive Maintenance 4.0

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3. How to stack?

VDMA Predictive Maintenance 4.0

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4. Where to put contextual User Interfaces?

Partner Inspiration Days 2017

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Decentralized Intelligence: Hydraulic Drives as virtual Sensors

VDMA Predictive Maintenance 4.0

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Smart Field Devices provide decentralized intelligenceand Flexibility.

Challenge:How to explorate?

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VDMA Predictive Maintenance 4.0

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future-proof?

VDMA Predictive Maintenance 4.0

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Alone…

VDMA Predictive Maintenance 4.0

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… or with partners?

VDMA Predictive Maintenance 4.0

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Open = collaborative

VDMA Predictive Maintenance 4.0

\nJ.Kothe | 9/25/2017\n© Bosch Rexroth AG 2017. All rights reserved, also regarding any disposal, exploitation, reproduction, editing, distribution , as well as in the event of applications for industrial property rights.32 Open = innovative

Partner Inspiration Days 2017

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Open Building Blocks: The IoT Gateway

Partner Inspiration Days 2017

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Fluid Power in Industry 4.0 - Potentials and Challenges

Explorate!Scale!Boost your Use-Case!