Description
hardware flow control. It is an ideal choice in the field of industrial automation.
Although it was established only a few months ago, ABB Future Lab has already cooperated with Huawei to
complete the AI training of garbage sorting robots in two months. This robot uses AI technology based on Huawei
chips and uses industrial cameras to sort objects.
Obviously, adjusting the business model and organizational structure is an important reason why ABB has
lways been at the forefront of the industry.
From technology iteration to application implementation, ABB aims to provide complete solutions
As a pioneer in manufacturing automation and digitalization, ABB”s products in the automation field are constantly
improving, and its application industries are also expanding.
In Alf”s view, the structure and construction of automation have not changed much in the past 30 years. From signal
collection and information transmission to work scenarios or operational interfaces, the flow of information in automated systems has basically not changed.
But the arrival of 5G may change the way information is transmitted between devices. 5G’s characteristics such as large
capacity, high reliability and low latency make it possible to realize independent connections between devices. If real-time
mainline connection can be achieved and installed on the cloud or platform, it will be a more disruptive application.
5G will not only change the way ABB operates, but is also likely to introduce digitalization into the industry, including digital
operation and maintenance. ABB has launched an industrial Internet solution called ABB Ability, which firstly provides a platform
, and secondly, it includes all ABB”s digital cloud products, such as equipment industrial solutions and transportation solutions.
In addition to digitization, another focus of Alf is the autonomy of machines. He took the autonomous management of
autonomous driving and warehousing as examples to think about the development process of machine autonomy –
from human operation to machine operation, and ultimately to autonomous implementation and testing without the need for humans at all.
For ABB, in addition to popular autonomous driving technology, industrial production scenarios also have strong
demand for the autonomy of machinery and equipment, such as autonomous docking of ships and the mining industry
. In some industrial scenarios represented by mining, toxic gases and substances in the working environment are
harmful to the human body, so equipment
is required to have the ability to enter and leave the mine independently. ABB first needs to study the value proposition
of these businesses, discover potential applications, and then discover in which fields it can be applied.
A technology close to autonomy is artificial intelligence. Since its birth in the 1960s, it has been attracting people”s
attention, and there have been endless discussions about “robot replacement”. After decades of development,
related technologies have gradually matured, and more and more AI technologies have begun to be discussed
in the application field. The products and technologies
of leading manufacturers such as ABB have attracted much attention.
ABB has been applying AI technology to its products for 20 years, but its current mature products are mainly
diagnostic applications based on traditional statistics. Alf introduced to Yiou New Manufacturing that
as part of the diagnostic solution, this technology is mainly used to implement condition monitoring functions
. More mature applications are reflected in the automated management of equipment, such as the electronic
management of ships.
Machine learning is another promising AI technology. At the World Artificial Intelligence Conference at the
end of August this year, ABB demonstrated a coffee workbench composed of a two-arm collaborative robot Yu Mi.
Through guided programming of YuMi, the collaborative robot can learn and
remember the barista”s movements to complete the complete process of making coffee, latte art and delivering it to the audience.
In actual implementation scenarios, this technology is used to transform terminals carrying containers. By simulating the
location and status of box handling, the collected data is used to train the AI, allowing the AI to know the
location of the container, thereby achieving automation.
From automation, digitalization, autonomy and artificial intelligence technologies, ABB is not a blind pursuer of
emerging technology concepts. It pays more attention to customer needs and actual implementation, and achieves
better solutions through different product combinations.
There are two major difficulties in balancing R&D and business and implementing solutions.
As a commercial company, ABB still needs to consider the balance between R&D investment and revenue.
In Alf”s view, they do not have unlimited R&D resources, so they need to focus on finding a balance between
improving original product functions and developing new functions. In terms of technology research and development,
we also need to try to focus on projects that can bring the greatest value to the company.
Regarding the specific implementation of digital solutions, Alf believes that there are currently two main difficulties.
The first difficulty is that ABB cannot just develop a general solution, because different industry segments
have different needs, so it must design solutions that suit their different needs. ABB not only needs to master
knowledge in different fields and different applications, but also needs to consider the availability of data.
The second difficulty lies in the use of data, because AI requires a large amount of data training. On
the one hand, ABB needs to encourage customers to provide data for training models; on the other hand,
ABB also needs to ensure customers the privacy, ownership and security of their data.
“Industrial artificial intelligence needs to be combined with models and data. But the most
important thing is that we must provide value to customers through the use of AI, otherwise we will just
apply technology for the sake of applying technology.” Alf concluded.
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PDD205A1121 3BHE025336P201 ABB
PDD205A1121 3BHE025335R1121 ABB
PDD205A1121 3BHE025335R1121/3BHE025336P201REV.D
PDD205A0121 3BHE025335R0121/3BHE025336P201REVD
PDD205A0121 3BHE025336P201 ABB
PDD205A0121 3BHE025335R0121 ABB
3BHE025336P201 Central Processing Unit
3BHE025335R0121 Central Processing Unit
PDD205A0121 Central Processing Unit ABB
3BHE020P201 Central Processing Unit ABB
3BHE019633R0101 Central Processing Unit
PDD200A101 Central Processing Unit ABB
PDD200A101 3BHE020P201 ABB
PDD200A101 3BHE019633R0101 ABB
PDD200A101 3BHE019633R0101/3BHE020P201
P4LQA HENF209736R0003 Power module
P-HA-RPS-32200000 Power module ABB
OKYM175W22 Programmable controller
OCAHG 492838402 Programmable controller
OCAH 940181103 Programmable controller ABB
NU8976A99 HIER466665R0099/NU8976A
HIER466665R0099 Industrial module ABB
HIEE220295R0001 Industrial module ABB
NU8976A HIEE220295R0001 ABB
NPCT-01C 64009486D ABB
NMTU-21C 3BSE017429R1 ABB
NF93A-2 HESG440280R2 ABB
NF93A-2 HESG440280R2 HESG323662R1
NF93A-2 HESG440280R2 HESG323662R1/HESG216665/K
NBIO-21CU 3BSE017427R1 ABB
3BSE017427R1 Analog output board ABB
NBIO-21CU Analog output board ABB
NDCU-12CK Analog output board ABB
NDCU-12C Analog output board ABB
MVR0.44-10KA Analog output board ABB
MANUFACTURER Analog output board ABB
MSR04X1 Analog output board ABB
MSR04X1 MANUFACTURER ABB
MSR04X1 MANUFACTURER:ABB AGUST
HESG440588R4 Analog output board
MC91 HESG112714/B Analog output board
MC91 HESG112714/B ABB
MC91 HESG440588R4 ABB
MC91 HESG440588R4 HESG112714/B ABB
MB510 3BSE0002540R1 Analog output board
M063B003217 Analog output board ABB
3BHL000986P7000 Analog output board ABB
LXN1604-6 Analog output board ABB
LXN1604-6 3BHL000986P7000 ABB
LWN2660-6 Analog output board ABB
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