3HAC17757-6

Product parameters

Model: 3HAC17757-6

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

3HAC17757-6 is mainly used in the field of industrial automation, such as DCS PLCs, industrial controllers, robots, etc.

3HAC17757-6 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: 3HAC17757-6 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 3HAC17757-6 correctly on the device and connect the communication interface cable properly.

Please refer to the user manual for operating 3HAC17757-6 to ensure proper use.

Product Introduction

3HAC17757-6 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.

BEIJING, Feb. 10, 2022 /PRNewswire/ — Recently, the ABB Ability™ EAM energy efficiency and asset health management
cloud platform launched at the ABB Electrical “Carbon” Fusion Development Summit is the original ABB Ability™ EDCS smart distribution platform.
The latest integration and upgrade plan of the power management system and the MyRemoteCare asset health platform integrates the energy efficiency
of medium and low voltage products and asset management, helping users reduce the total investment cost of the entire asset life cycle and accelerate the conversion of fixed investment to
operating investment. This new platform supports cloud version, local version and cloud + local comprehensive version, solving the pain points of local deployment of digital solutions for
industrial users, and meeting the energy efficiency and asset management needs of users in various industries such as food and beverage, chemical and metallurgy, data centers and commercial buildings. .

ABB Ability™ EAM energy efficiency and asset health management cloud platform released

Facing the dual pressures of the COVID-19 epidemic and economic downturn, the world is in a critical period of accelerating the transformation
from an industrial economy to a digital economy. According to statistics from the
China Academy of Information and Communications Technology, the scale of my country”s industrial digitalization has reached 31.7 trillion yuan
, accounting for 80.9% of the digital economy. The “14th Five-Year Plan” also clarified that digitalization is a key direction for future
development and will boost the new generation of information technology. Cross-integrated with the industrial and energy Internet, the
innovation cycle of key technologies such as core software, smart sensors, and artificial intelligence mechanism algorithms
has been continuously shortened, promoting the development of industrial digitalization into the fast lane.

Industry is the main battlefield for digital transformation, and digital technology also promotes revolutionary changes in the industrial value chain – the systematic forward-looking
design at the national strategic level depicts a sustainable future of digital, intelligent, and low-carbon industrial production to release greater The spillover effect and multiplier
effect bring broader growth space for the digital economy. As a global industrial technology leader
and digital leader, ABB has used its rich industry experience to develop ABB Ability™ digital solutions and platforms, and through several years of continuous innovation, it has
helped thousands of industries tap into the unlimited potential of digitalization.

In response to the constraints of digital transformation, ABB Ability™ digital solutions have accumulated rich experience

As an important engine for high-quality development of enterprises, digital transformation”s value is not only reflected in connecting on-site
equipment and supporting production. Data is also a core element for enterprises to carry out digital innovation and build digital
genes. Through failure prediction and analysis
of the health status of production equipment, monitoring objects and related data, it can help enterprises form a global perspective, reduce
operating costs while improving decision-making quality and production efficiency.

Digital transformation is a systematic project that not only requires increased investment in R&D and talent reserves, but also a comprehensive upgrade of production infrastructure
and the ability to obtain efficient data, analyze industry-specific data insights, and top-level planning. Therefore, in actual deployment, Still faces many challenges and constraints.

For example, with the development of the industrial Internet of Things, more and more enterprise field equipment data no longer need to be transmitted to the center, but choose to
be calculated and analyzed locally. How to better combine industrial equipment edge analysis and cloud computing to make the data more valuable? It has been fully utilized to build
a new starting point for industrial digitalization and run through the new industrial era. How to fully combine the mature applications of sensor technology, artificial intelligence and
machine learning to better promote the popularization of predictive maintenance is a key cornerstone of industrial digital transformation. How to use data to achieve optimal operational
decisions is also a necessary consideration for enterprises to improve the return on investment of digital transformation.

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