IAgrE Landwards Conference 2019 The contribution of data .... IAgrE Landwards Conference...
Transcript of IAgrE Landwards Conference 2019 The contribution of data .... IAgrE Landwards Conference...
Dr. Joachim Stiegemann (Head of Product Management CSE)
Edward Miller (CLAAS UK)
IAgrE Landwards Conference 2019
The contribution of data harvest on the development of the new
LEXION generation – the impact of the digital transformation
The CLAAS nucleus is machine construction
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Engineering works without ioT – a consistent digital data approach – so far
AutoCAD / Inventor, Hypermesh, Unigraphics, I-Deas, SolidWorks, Ansys, CATIA V5 and V6
Fluent, Pro/Engineer, Xsteel, RAM, CADS, SFRAME, RSA, ORION, GTS Strudl, AutoCAD
STAAD, ETABS, AutoCAD, ArchiCAD, Rivet,
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Game Changer: GPS – from “PoKéMoN GO” to Precision Farming and Engineering
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GPS: Connects location and time with any kind of action, activity or procedure
GPS
Position Navigation
General
Management
Machine
Operation
Vehicle
GuidanceFleet
Management
Documentation Operation Single Vehicle Vehicle Group
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Competitive markets – boost the ambitions for shortening the time to market
This fuels the application of sophisticated virtual product models
…frequently referred to as “digital twin”
Enabled by:
Digitalization of manufacturing
Cyber-physical production systems
Model-based system engineering
Data gathering and processing
Models with production and operation data.
Value for:
Product and process development
Operating and servicing decisions on the product behavior
Optimization and maintenance
Product design – simulation and monitoring
Reduce the need for costly and time-expensive physical mock-ups
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• Crop rotation
• Seed plan
• Fertilizer plan
• Crop protection
• Turn over
• Profit
• Regulations
• Controlling
etc.
Manufacture
Models
Specification
Volume
Turn over
Profit
Regulations
Shipping
Controlling
etc.
Agriculture Processes Data
Data
Customer
Industrial Processes
Data Sources from Processes
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Steering Systems
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Process Automation
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Machine Data
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How to optimise my
whole operation?
Is my equipment
working at full
capacity?
Do I need to use
fungicides now?
How to schedule
my work?
Do I have to
apply fertiliser
now?
Can I identify the
reasons for different
yields per acre?
Will service
intervals be
followed?
Are we using the
right spaces and
tramlines?
Where is my
equipment?
How much time
do I have?
The busy farmer
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What next?
Are customers prepared to share data?
Where should it go?
How should it be used?
Who will process the data?
They have to be able to make that decision
It is their data after all
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Digital technology at an entry level is unconsciously already incorporated
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What are the Next Steps: Getting Bigger
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Operation characteristics of LEXION combines
N = 1183 combines
Engine hours Average Ground Speed Average Engine
Load - Threshing
Unloading „ON“ per
operation hourAverage Yield t/ha
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Grain tank unloading operations over engine hours (UK LEXION)
Unloading „ON“ per hourEngine hoursUnloading „ON“
N = 180 combines
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Grain tank unloading operations – virtual reality
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… Step by step we are leaving the analog/linear data setup
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Digital Agenda
Create a Digital Basis Digital Growth
Digital
Development
Farming
4.0
Establish a
company
management
program - based
on a broad digital
data base as the
decision
foundationDevelo
p a
nd e
xte
nd
dig
ital com
pete
nce
Use o
f sele
cte
d t
ools
and p
rogra
ms
.
Exchange d
ata
,
use d
igital in
telli
gence
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Keep and improve bottom line result
Secure sustainability
Progress and penetration of digital agriculture on farms and industry depends on results
Provides compliance with regulations
Guarantees data integrity
Does not create problems
…appreciate your attention!
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