UFC760BE145

Product parameters

Model: UFC760BE145

Brand: ABB

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

UFC760BE145 is mainly used in the field of industrial automation, such as DCS PLCs, industrial controllers, robots, etc.

UFC760BE145 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: UFC760BE145 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 UFC760BE145 correctly on the device and connect the communication interface cable properly.

Please refer to the user manual for operating UFC760BE145 to ensure proper use.

Product Introduction

UFC760BE145 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.

On April 25, 2017, ABB and IBM announced a strategic cooperation today. ABB”s industry-leading digital solution ABB Ability will join forces with IBM Watson IoT cognitive computing technology to create
new innovations for customers in the power, industry, transportation and infrastructure fields. the value of.

ABB has deep industry expertise and cross-industry digital solutions, and IBM is an expert in artificial intelligence, machine learning and different vertical industries. The cooperation between the two parties will
benefit customers. ABB Ability and Watson will first cooperate in the fields of factories and smart grids to provide real-time cognitive analysis.

“The strong alliance between the two parties marks a new stage in the development of industrial technology. We will not only have
the interconnected systems that currently collect data, but will also use data to sense, analyze,
optimize and take countermeasures in industrial operations and equipment to help industrial customers Improve uptime, speed
and production.” ABB Group CEO Spiesshofer said, “ABB has installed 70 million connected devices around
the world, has 70,000 running control systems and 6,000 enterprise software solutions. As a trusted leader in the industrial field,
ABB has been deeply involved in industrial digitalization for more than 40 years. IBM is a leader in artificial intelligence and
cognitive computing. IBM and ABB will work together to create powerful solutions for customers and seize the fourth The great
opportunities presented by the sub-industrial revolution.”

Groundbreaking new solutions

This breakthrough solution, jointly developed by ABB and IBM, will provide users with a new way to address major challenges
in the industrial field, such as strengthening quality control, reducing
downtime, and increasing the speed and output of industrial processes. These solutions will not only have the data collection
capabilities of existing connected devices, but will also cover cognitive industrial devices that use data to detect, analyze
and take response measures, helping workers eliminate ineffective processes and redundant work.

IBM Chairman, President and CEO Rometty said: “This important cooperation with ABB will help Watson more deeply participate
in industrial applications in different fields such as manufacturing,
power and transportation. In the products, equipment and systems of industrial enterprises The data generated will also significantly
improve innovation, efficiency and safety. Through Watson”s extensive cognitive capabilities and the platform”s special
support for the industrial sector, these huge amounts of new resources can be transformed into trusted value. We eagerly look forward to working with ABB on cooperation in this new industrial sector.”

Bringing real-time cognitive analytics to the factory

For example, ABB and IBM will use Watson artificial intelligence to help users identify substandard products through real-time product images. These

The images are captured by the ABB system and analyzed through IBM Watson IoT for Manufacturing. Previously, this product
inspection process was completed manually, which was not only slow but also prone to errors. Through the perfect combination
of Watson”s real-time cognitive analysis directly in the factory with ABB”s industrial automation technology, users can increase
production line output while improving production accuracy and product consistency.
The solution alerts producers to critical faults that cannot be discerned by the human eye during the assembly process of product parts,
allowing quality control experts to quickly intervene. This easier problem detection will improve the quality of all products
on the production line, help users avoid expensive product recalls and suffer reputational losses, and significantly improve their competitiveness.

Smart grid real-time cognitive analysis

ABB and IBM will use Watson technology to extract historical and weather data to predict power supply patterns on the power generation side and demand side, helping power
customers optimize operations and maintain smart grids, and solve the increasingly complex balance between traditional
and renewable energy faced by smart grids. Sexual issues. Forecasts of temperature, light and wind speed will be used to predict electricity
consumption demand, helping power customers determine optimal load management and real-time electricity prices.

Excitation system ABB module NTAI06
Excitation system ABB module NTAI05
Excitation system ABB module NTAI05
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Excitation system ABB module NTAI04
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Excitation system ABB module NTAI02
Excitation system ABB module NTAI01
Excitation system ABB module NTAC-02
Excitation system ABB module NTAC-02
Excitation system ABB module NTAC-02
Excitation system ABB module NSTM01
Excitation system ABB module NSSM01
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Excitation system ABB module NSPS02
Excitation system ABB module NSPS01
Excitation system ABB module NSPM01
Excitation system ABB module NSIM01
Excitation system ABB module NSBM01
Excitation system ABB module NRIO02
Excitation system ABB module NRDO02
Excitation system ABB module NRDI01
Excitation system ABB module NRAO01
Excitation system ABB module NRAI01
Excitation system ABB module NRAI01
Excitation system ABB module NQRS02
Excitation system ABB module NQRC01
Excitation system ABB module NPTM01
Excitation system ABB module NPSM04
Excitation system ABB module NPSM02
Excitation system ABB module NPSM01
Excitation system ABB module NPSI04
Excitation system ABB module NPSI03
Excitation system ABB module NPSI02
Excitation system ABB module NPOW-42C
Excitation system ABB module NPIM01
Excitation system ABB module NPEP04
Excitation system ABB module NPEP03
Excitation system ABB module NPEP02
Excitation system ABB module NPEP01
Excitation system ABB module NPCT-01C
Excitation system ABB module NPBS01
Excitation system ABB module NPBA-12
Excitation system ABB module NMTU-21C
Excitation system ABB module NMRT01
Excitation system ABB module NMPP02
Excitation system ABB module NMPC01
Excitation system ABB module NMFP03
Excitation system ABB module NMFP01
Excitation system ABB module NMFC05
Excitation system ABB module NMFC04
Excitation system ABB module NMFC03
Excitation system ABB module NMFC02
Excitation system ABB module NMFC01
Excitation system ABB module NLSM02
Excitation system ABB module NLSM01
Excitation system ABB module NLMM02
Excitation system ABB module NLMM01
Excitation system ABB module NLIS01
Excitation system ABB module NLIM02
Excitation system ABB module NKTU11-8
Excitation system ABB module NKTU11-24
Excitation system ABB module NKTU11-20
Excitation system ABB module NKTU11-17
Excitation system ABB module NKTU11-16
Excitation system ABB module NKTU11-15
Excitation system ABB module NKTU11-13
Excitation system ABB module NKTU11-12
Excitation system ABB module NKTU11-11
Excitation system ABB module NKTU11-10
Excitation system ABB module NKTU11-09
Excitation system ABB module NKTU02-9