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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1746-NO4V SLC 500 Standard analog voltage output module
5SHX2645L0004 3BHL000389P0104 Control circuit thyristor ABB
GF0-57CQD-002 OMACO Operator interface
5SHX1445H0001 3BHL000391P0101 semiconductor thyristor module
SK827005 SK827100-AS 480V 60HZ coil
S72402-NANANA S700 series servo driver
TRICON 3664 digital output module
MVME2400 Processor module
TRICON 3511 pulse input module Tricon control system
F8650E Central module of the security system HIMA
PCD3.M5540 SAIA universal Serial Bus
F3 DIO 20/8 02 Safety related controller HIMA
MTL4549Y MTL isolation driver
ETOP306 HMI panel UNIOP
IC754VSF12CTD Fast panel control and view
P0914TN FBM211 Input interface module
ACC-51E UMAC 4096 Interpolator Attachment Card Delta Tau
PR6426/000-010+CON021 sensor
ACC-24E2S Axis Expansion board Delta Tau
EGCP-2 8406-121 Generator Control
ACC-36E 12-bit ADC board Delta Tau
216NG62A HESG441634R1/K analog module
ACC-24E2A Delta Tau 2-axis / 4-axis analog interface module
SPW482-13 S1 Power supply micromodule
S70601-SE digital servo amplifier
FBMSSW I/A series control card
NDPI-02 3BHL000764P0001 Connection board
95UVS2-1 FIREYE Flame Scanner
9199-00002 A6120 DeltaV control network
MAX-4/11/03/128/08/1/1/00 ELAU servo drive
C825KN10 200A 600V EATON Contactor
LTC743CE 3BHE013299R0002 Host board
A6824R 9199-00098-13 Configuration Protection Monitor
SC540 3BSE006096R1 SC540 submodule carrier
A4H254-8F8T P0973JP Enterasys A4 fast Ethernet switch
SC510 3BSE003832R1 SC510 submodule carrier
5SHY3545L0016 3BHB020720R0002 3BHE019719R0101 IGCT module
IS215UCVEM01A IS215UCVEH2AF GE Mark VI controller module
UR6AV digital I/O module GE
UR8AH voltage transformer module GE
UR6AH GE Relay digital I/O module
UNITROL1000 Z.V3 3BHE014557R0003 Brushless excitation system
SST-PB3-CLX Profibus scanner module
E69F-T-12-JRS field installed current-pneumatic converter
TRICON 3625A Digital 24VDC output module
PCI-5421 NI arbitrary waveform generator equipment
IS200PMCIH1ABA printed circuit board Speedtronic MKVI
TRICON 3805E Analog output module Tricon control system
5AP920.1505-01 analog resistance touch screen
A1SJ51T64 MELSEC Main module of the I/O link
8910-PS-DC system power MTL instrument
SYHNC100-NIB-22A/W-24-P-D-E24-A012 Drive module
A1S68DAV digital analog module
A1S65B-S1 Melsec-A base unit with power LED
TRICON 3503E Digital Input Module 24 volts AC /DC
TRICON MP3009X/TCM 4355X Safety Instrument System
TRICON TCM 4355X Safety Instrumentation System
REF615C HCFFAEAGANB2BAN1XC feed protection test
SYHNC100-NIB-23/W-24-P-D-E23-A012 Drive module
VT-MVTW-1-16/D digital closed loop control board
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