Momentum - November 2019 - 16

TODAY'S

ENGINEERING

BIG DATA, BIG BENEFITS FOR BIG
MACHINES
THE HUGE VOLUMES OF DATA created
by on-vehicle systems are being mined
to bring a range of benefits to vehicle
operators and fleet managers. Predictive
maintenance is becoming more common
while data mining is helping OEM design
and manufacturing teams enhance
their programs.
The seemingly unlimited capabilities
of cloud computing let OEMs and fleet
managers run big data analysis to
understand nuances that previously
weren't even guessed at by experts
operating on gut instinct. Data collected
from connected vehicles can be scrutinized
to spot issues and take care of them.
"We funnel the data from remote
diagnostics services back to our
engineering group so we can see
when issues are occurring and are
able to quantify them faster," said Ash
Makki, product marketing manager,
connectivity, at Volvo Trucks North
America. "With remote diagnostics,
we are creating cases which utilize our
ASIST platform to include the delivery
of repair instructions, parts lists, and
estimates to the customer."
To date, the ability to determine when
vehicle components or systems are
nearing their breaking point is one of the
biggest benefits of big data analysis. Fleet
operators are using connectivity and the
Internet of Things (IoT) to foresee failures.
"Predictive diagnostics eliminates
expensive over-maintenances as well
as predicts an unplanned breakdown
of vehicles," said Jiri Benes, embedded
software engineer at ZF's digitalization
department. "As a result, this proactive
approach promises significant cost
savings. With our telematics units
collecting such information in ZF's IoT
cloud platform based on Microsoft
Azure, we are able to analyze large
volumes of data for more focused and
customizable results."
Big data analysis and connectivity
are growing together to provide greater
insight into many components on the
vehicle. Cumulatively, vehicle sensors
16 November 2019

Photo credit: John Deere

Data analysis lets vehicle operators better understand subtleties of their jobs.
measure more than a million data points
every second, so it's easy to download a
wealth of data from CAN buses.
Data mining techniques make it
easy for OEMs to aggregate data from
many vehicles to gain new levels of
understanding. Similarly, fleet operators
can closely monitor their operations and
make efficiency improvements.
"Today, the majority of equipment
coming from our factories is now
equipped with connectivity systems,"
said Kevin Socha, connectivity product
manager for Cat Digital. "Without this
connectivity, the customer and machine
are limited to technology within the
machine. The data captured comes
into a digital platform, which serves as
the architecture for running advanced
analytics, transforming data, and
providing common services that are used
in our apps. The result is our customers'
ability to gain insight into important
information, such as fuel utilization,
geolocation, or asset operation."
Big data also helps equipment
designers tweak operations. Engineers
can see how various systems are being
used so they can determine how to adjust
parameters as diverse as design margins,
component lifetimes, and user interfaces,
to name a few.

"As we develop new products and
improve upon existing ones, we use
feedback received from vehicles in a
number of different ways to create the
best equipment possible," said Doug
Sauder, director of applied intelligence,
John Deere Intelligent Solutions Group.
"While JDLink is beneficial for predictive
maintenance, our customers are also
using the analysis and information taken
from machine data to create the best fleet
design for their individual operations."
Equipment manufacturers are even
using big data techniques to improve
their own manufacturing operations.
Information collected from equipment
manufacturing lines and from
vehicles can be analyzed separately
or in combination to determine how
production lines can be enhanced.
"The use of big data analysis in
manufacturing can avoid the cost of a
reject by either optimizing or eliminating
the problematic areas," Benes said. "Our
solution for this is applying so-called
digital twinning that represents a virtual
replica of a physical asset. Together with
an asset tracking system called deTAGtive,
we can provide all relevant logistics
information as well as track location and
condition of these assets in real-time.

By Terry Costlow, SAE magazines contributor

MOMENTUM



Momentum - November 2019

Table of Contents for the Digital Edition of Momentum - November 2019

Momentum - November 2019
Contents
EDITORIAL
BRIEFS
STUDENT GENERATION
One-on-One – Matt Heywood
Experience and innovation walk hand in hand
Baja SAE 2019: a tale of wind, rain (sleet/ mud), and sunshine
‘Complete, finish, win’
Low-speed controlled flight top of mind for Cal State Northridge team
Big data, big benefits for big machines
Mercedes-Benz EQS concept: the S-Class of electric vehicles?
SAE 101: EDGE Research Reports
New SAE student challenge centers on connected aircraft
Miscellaneous news for SAE Student Members!
Dossier: Steve Rehak of Detroit Flex Defense
What’s next?
Momentum - November 2019 - Momentum - November 2019
Momentum - November 2019 - Cover2
Momentum - November 2019 - Contents
Momentum - November 2019 - EDITORIAL
Momentum - November 2019 - BRIEFS
Momentum - November 2019 - STUDENT GENERATION
Momentum - November 2019 - 5
Momentum - November 2019 - 6
Momentum - November 2019 - One-on-One – Matt Heywood
Momentum - November 2019 - Experience and innovation walk hand in hand
Momentum - November 2019 - 9
Momentum - November 2019 - 10
Momentum - November 2019 - Baja SAE 2019: a tale of wind, rain (sleet/ mud), and sunshine
Momentum - November 2019 - ‘Complete, finish, win’
Momentum - November 2019 - 13
Momentum - November 2019 - 14
Momentum - November 2019 - Low-speed controlled flight top of mind for Cal State Northridge team
Momentum - November 2019 - Big data, big benefits for big machines
Momentum - November 2019 - Mercedes-Benz EQS concept: the S-Class of electric vehicles?
Momentum - November 2019 - SAE 101: EDGE Research Reports
Momentum - November 2019 - New SAE student challenge centers on connected aircraft
Momentum - November 2019 - Miscellaneous news for SAE Student Members!
Momentum - November 2019 - 21
Momentum - November 2019 - Dossier: Steve Rehak of Detroit Flex Defense
Momentum - November 2019 - 23
Momentum - November 2019 - What’s next?
Momentum - November 2019 - Cover3
Momentum - November 2019 - Cover4
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