Sale!

XS821-22 Output module Honeywell

Original price was: $1,888.00.Current price is: $1,688.00.

Model:XS821-22

New original warranty for one year

Brand: Honeywell

Contact person: Mr. Lai

WeChat:17750010683

WhatsApp:+86 17750010683

Email: 3221366881@qq.com

Category:

Description

Product parameters
Model: XS821-22
Brand: Honeywell
Size: 10cm x 10cm x 30cm
Weight: 1.2KG
Color: White Black
Working voltage: 5V
Working temperature: -10 ℃ to 50 ℃
Communication interface: RS232, RS485, CAN
Product specifications
Support for MODBUS protocol
Support hardware flow control
Using high-speed CMOS devices
Support for data caching
application area
XS821-22 is mainly used in the field of industrial automation, such as DCS PLCs, industrial controllers, robots, etc.
XS821-22 is mainly used in steel manufacturing, thermal power generation, hydroelectric power generation, glass manufacturing, paper mills, cement factories, petrochemicals
Chemical fiber, pharmaceutical manufacturing, rubber, plastics, ferrous metal food, machine tools, specialized equipment, transportation vehicles, mechanical equipment
Electronic communication equipment, instruments and beverages, tobacco processing, clothing, textiles, leather, wood processing, furniture, printing, etc
Model: XS821-22 Brand: ABB Archive Function: Communication Function Product Certification: Qualified
Working voltage: 24V Internal variable: No pattern Type: Vector diagram Applicable range: Industrial type
Number of screens: 4 Imported or not: Yes Customized for processing: No
Alarm function: Product name: Module Input voltage: 24V Rated current: 5A
Special service: including postage. Remarks: one-year warranty. Operation method: remote control
Applicable motor: servo motor system memory: 8MB Display color: 99.9 color gamut
Power voltage: 220V Input method: Current Input Material code: 65218
Communication interface: HDMI interface Working temperature: 60 Material number 26854 Other functions Analog communication
Output frequency: 50HZ Rated voltage: 24V Alarm type: Light alarm
Disconnect capacity: 0.01 Vector graph support: Minimum number of packages supported: 1
Display type: IPS USB interface quantity: 2 interfaces Memory card slot: 2
Panel protection level: 3 Memory expansion capacity: 128MB User script support: supported
Speed response frequency: 1MS Working environment temperature: -40 to 100 Insulation withstand voltage test: Passed
Third party communication products: ABB controllers available for sale in: nationwide
Product Instructions
Please install XS821-22 correctly on the device and connect the communication interface cable properly.
Please refer to the user manual for operating XS821-22 to ensure proper use.
Product Introduction
XS821-22 is a high-performance industrial automation communication module that uses high-speed CMOS devices, supports MODBUS protocol, and supports
hardware flow control. It is an ideal choice in the field of industrial automation.

Contact person: Mr. Lai
Mobil:17750010683
WeChat:17750010683
WhatsApp:+86 17750010683

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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