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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216AB61 HESG324013R100 / HESG216881/B Output module
1747-L552/A SLC 5/05 processor
1747-L553/A SLC 5/05 processor
IOP114 Input module Metso
7AO352.70 analog output module B&R
7DO138.70 digital output module B&R
7AI261.7 Analog input module B&R
7DI140.70 digital input module B&R
DSPC174 3BSE005461R1 Processor board ABB
GRBTU 3BSE013175R1 ABB Base
CP451-50 processor module Yokogawa
FCP270 P0917YZ Field Control Processor 270
TP858 3BSE018138R1 DDCS interface module base
UAC389AE02 HIEE300888R0002 Control board module
HIMA F7553 984755302 Coupling ModuleF 7553
KX8974CV24 HIEE320606R1 ABB control interface card module
SP060S-MF2-20-1C1-2S stepping reducer
UNS0881a-P,V1 3BHB006338R0001 PCB board
IPMC761-001 Multifunctional I/O module
PM783F 3BDH000364R0002 CPU module ABB
DSDP140B 57160001-ACX Counter board
SST-DN3-PCI-2 DSQC658 Network interface card
UFC762AE101 3BHE006412R0101 Mainboard module
PM864A 3BSE018162R1 processor unit
IC693PWR322F 24/48 VDC standard power supply
PM891 3BSE053240R1 Redundant processor unit
RET670 1MRK004816-AC transformer protection
DSAI133A 3BSE018290R1 Analog input board 32 channels
SPIET800 Ethernet CIU transmission module
REM615 HCMJAEADABC2BNN11E motor protection measurement and control device
FCP280 RH924YA Field Control Processor 280 FOXBORO
CC-PAOX01 Hart analog output module HONEYWELL
1394C-SJT22-A/C servo controller Allen-Bradley
IS420UCSBH4A UCSB controller GE
GDB021BE05 HIEE300766R0005 Power module
7ML52020EA0 Ultrasonic liquid level sensor ABB
TU847 3BSE022462R1 Modulebus terminal
IS220PPDAH1B 336A5026ADP14 Gas turbine module GE
8444-1091 Energy meter woodward
CML25.1-3N-400-NN-NNC1-NW drive Rexroth
SUE3000 High Speed Switching Device (HSTD) ABB
UG-8L mechanical hydraulic governor WOODWARD
MKD071B-035-KP1-KN servo motor Rexroth
IC660BRD024 Input/Output module GE
MU-PDIY22 Digital input 24 Vdc processor
TK-IOLI01 Input/output module HONEYWELL
TK-PRR021 Redundant module HONEYWELL
IC694MDL940 16 point relay output module
IC694MDL645 Positive/negative logic input module
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