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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Phoenix PATG1/23 1013847 Conductor marker carrier
Vibro-meter 200-560-000-113 200-560-101-017 VM600 IOC4T
IGCT 5SHY4045L0006 3BHB030310R0001 3BHE039203R0101 GVC736CE101 ABB
444-680-000-511 Vibro-Meter CE 680 M511 all-purpose vibration sensor
PFEA111-65/3BSE050090R65 ABB Tension Electronics PFEA 111
TRICON 4201 RXM Communication Module (Remote)
ENTERASYS A2H254-16 P0973BK Industrial switch
810-068158-013 LAM Print edition
TRICON 9001NJ(6FEET) FOXBORO Rack connection wire
125840-01 Half-Height Module 3500/15
TRICONEX 8105N Empty channel module panel
200-510-070-113 200-510-111-034 VM600 MPC4
130944-01 BLANK MODULE 3055/05
JOHNSON MS-NAE4510-2 controls MS-NAE5510-3 MS-NAE5510-1
VMIVME-7610-734 VME Single Board Computer
125680-01 Proximitor I/O Module Bently Nevada 3500/40M
125388-01 Half-height Module Bently Nevada
170AAO92100 Analog output module
SCHNEIDER VX5G48C32Q Power drive board
E82ZAFCC010 LENZE CAN INTERFACE MODULE
PNI800 Plant Network Interface Module
3500/05-01-02-00-00-01 System Rack 3500/05
IS215VCMIH2BB IS200VCMIH2BCC
FX3G-40MT/ESS Mitsubishi PLC main unit
PXIE-8115 NI PXI controller
PXIE-1065 NI PXIE case PXIE-6556
PIO800K02 ABB Profibus I/O Interface Kit [Redundant]
PNI800 Plant Network Interface Module
AI04 ABB AI module, 16-CH, TC / mV AI03
AI03 ABB AI module AI04
9907-014 Load distribution and speed control
IC755CSS15CDA Operator interface terminal
2711-T5A2L1 PanelView 550 Standard Operator terminal
VMIVME2540-000 intelligent digital input/output board
IC755SUE10CTD Touch screen GE
A06B-6110-H030 servo power converter
MDX61B0075-5A3-4-0T SEW drive
DS200LDCCH1AMA driver controls LAN(local Area Network) communication board
Pxi-8431/8 PXI Serial interface module
PXIE-6368 Multifunctional input/output module
Pxi-6528 PXI Digital input/output module
1769-L18ER-BB1B Programmable Automation controller
VMIVME-7751 VME single-board computer VMIVME-7750
1794-IRT8XT thermocouple RTD millivolt input module
PCI-1424 digital camera image acquisition board
IC220PBI002 Versapoint communication module
A06B-6079-H105 servo module
A06B-6117-H105 servo amplifier
A02B-0319-B500 Control basic unit
1326AS-B460F-21 servo motor
A06B-6140-H011 servo power converter
DSQC652 3HAC025917-001 Robot controller
DSQC604 3HAC12928-1 Power module
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