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爱立信:机器人,机器智能和5G助力实现工业自动化报告(英文版)(13页).pdf
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爱立信:机器人,机器智能和5G助力实现工业自动化报告(英文版)(13页).pdf
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ERICSSON
TECHNOLOGY
G AND INDUSTRIAL
AUTOMATION
CHARTING THE FUTURE OF INNOVATION | #
✱
5G AND INDUSTRIAL AUTOMATION
2
ERICSSON TECHNOLOGY REVIEW ✱ FEBRUARY 15, 2018
enabled b
ROBERTO SABELLA
(ERICSSON),
ANDREAS THUELIG
(ERICSSON),
MARIA CHIARA
CARROZZA
(SANT’ANNA SCHOOL
OF ADVANCED
STUDIES),
MASSIMO IPPOLITO
(COMAU)
The combination of robotics, machine
intelligence and 5G networks will provide a
wealth of opportunities for cooperation
between robots and humans that can improve
productivity and speed up the delivery of
services for citizens.
■
Most analysts agree that smart manufacturing
is likely to represent the biggest portion of market
revenues for the Internet of Things (IoT) in the
near future. Smart manufacturing is dependent on
industrial automation, which relies heavily on the
use of robots and machine intelligence. The
factory of the future will be realized through the
digitization of the manufacturing process and
plants, which will be enabled by 5G neorks and
all their building blocks. As a leader in 5G
infrastructure – including cloud technologies, big
data analytics and IT capabilities – Ericsson is
well placed to take a leading role in this
transformation and partner with industries to
develop solutions that are tailored to t their
needs. Our fruitful collaboration with Comau, a
world leader in industrial automation, and the
Sant’Anna School of Advanced Studies, a highly
regarded academic center of excellence in
robotics, is the rst step.
Understanding Industry 4.0
The German government launched the Industry
4.0 initiative in 2011 to foster the competitiveness
of its industries for the decades to come. Seven
years later, we can see that leading industries are
The emergent “fourth industrial revolution” will have a profound impact on
both industry and society in the years ahead. Robotics, machine intelligence
and 5G networks in particular will play major roles in this revolution by enabling
ever higher levels of automation for production processes.
ROBOTICS, MACHINE INTELLIGENCE AND G
Industril
utomation
5G AND INDUSTRIAL AUTOMATION
✱
FEBRUARY 15, 2018 ✱ ERICSSON TECHNOLOGY REVIEW
3
implementing breathtakingly innovative concepts
as a result. For example, the 2017 Hannover
Industry Fair showcased several innovations such
as collaborative robots, smart materials, adaptive
production, and self-learning systems, which were
on their way out of labs and onto real production
shop oors. German industry is committed to
making Industry 4.0 the new benchmark in
production efficiency, with plans to invest EUR 40
billion annually until 2020.
The strength of the Industry 4.0 initiative lies in
the fact that it has been a joint effort of government,
universities and industries since day one. Together
they foster growth, using fewer resources, reducing
risk and boosting productivi and exibili. The
initiative has developed many groundbreaking
concepts that have resulted in a quantum leap in
the neorking of humans, machines, robots and
products. Manufacturing leaders are combining
information technology and operations technology
to create value in entirely new ways. These cyber-
physical production lines are cutting-edge today, but
will be the standard of tomorrow. By the end of 2017,
Industry 4.0 had grown into a truly international
initiative with contributors and users all over
the globe, changing the basis of competition in
production automation for good.
Guaranteed real-time communication beeen
humans, robots, factory logistics and products
is a fundamental prerequisite of the Industry 4.0
concept. Real-time data will generate transparency
and actionable insights, while edge analytics will
help reap maximum machine value and optimize
production. All of the above concepts clearly
require standardization and (data) securi. With
its standardized neorking capabilities, built-in
securi, guaranteed grades of service, as well as
distributed cloud and neork slicing concepts, 5G
is a perfect tool for advanced industries that want to
take advantage of digital transformation.
Terms and abbreviations
IoT
– Internet of Things | OEM – original equipment manufacturer | PLC – programmable logic controller |
PoC
– proof of concept
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