05704-A-0121 Output module Honeywell

Product parameters

Model: 05704-A-0121

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

05704-A-0121 is mainly used in the field of industrial automation, such as DCS PLCs, industrial controllers, robots, etc.

05704-A-0121 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: 05704-A-0121 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 05704-A-0121 correctly on the device and connect the communication interface cable properly.

Please refer to the user manual for operating 05704-A-0121 to ensure proper use.

Product Introduction

05704-A-0121 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.

(5) Perform predictive maintenance, analyze machine operating conditions, determine the main
causes of failures, and predict component failures to avoid unplanned downtime.

Traditional quality improvement programs include Six Sigma, Deming Cycle, Total Quality Management (TQM), and Dorian Scheinin’s
Statistical Engineering (SE) [6]. Methods developed in the 1980s and 1990s are typically applied to small amounts
of data and find univariate relationships between participating factors. The use of the MapReduce paradigm to simplify data processing in
large data sets and its further development have led to the mainstream proliferation of big data analytics [7]. Along with the development of
machine learning technology, the development of big data analytics has provided a series of new tools that can be applied to manufacturing
analysis. These capabilities include the ability to analyze gigabytes of data in batch and streaming modes, the ability to find complex multivariate
nonlinear relationships among many variables, and machine learning algorithms that separate causation from correlation.

Millions of parts are produced on production lines, and data on thousands of process and quality measurements are collected for them, which is
important for improving quality and reducing costs. Design of experiments (DoE), which repeatedly explores thousands of causes through
controlled experiments, is often too time-consuming and costly. Manufacturing experts rely on their domain knowledge to detect key
factors that may affect quality and then run
DoEs based on these factors. Advances in big data analytics and machine learning enable the detection of critical factors that effectively
impact quality and yield. This, combined with domain knowledge, enables rapid detection of root causes of failures. However,
there are some unique data science challenges in manufacturing.

(1) Unequal costs of false alarms and false negatives. When calculating accuracy, it must be recognized that false alarms
and false negatives may have unequal costs. Suppose a false negative is a bad part/instance that was wrongly predicted to
be good. Additionally, assume that a false alarm is a good part that was incorrectly predicted as bad. Assuming further that
the parts produced are safety critical, incorrectly predicting that bad parts are good (false negatives) can put human lives
at risk. Therefore, false negatives can be much more costly than false alarms. This trade-off needs to be considered when
translating business goals into technical goals and candidate evaluation methods.

COM0002  Industrial module ABB
2RAA005844A0005H Industrial module ABB
3DDE300416 Industrial module ABB
CMA136 Industrial module ABB
CMA136 3DDE300416  ABB
CMA132 3DDE300412  ABB
3DDE300412 Industrial module ABB
CMA132  Industrial module ABB
3DDE300411  Industrial module ABB
CMA131 Industrial module ABB
CMA131 3DDE300411  ABB
CMA120 3DDE300400  ABB
3DDE300400 control unit ABB
CMA120 control unit ABB
3BDH000368R0001 control unit ABB
CM772F control unit ABB
CM772F 3BDH000368R0001  ABB
CI868K01-eA 3BSE048845R2  ABB
3BSE048845R2 control unit  ABB
CI868K01-eA control unit  ABB
3BSE056767R control unit  ABB
CI871K01 control unit  ABB
CI871K01 3BSE056767R ABB
CI860K01 3BSE032444R1 ABB
3BSE032444R1 control unit ABB
CI860K01 control unit ABB
3BSE018135R1  control unit ABB
CI858K01 control unit ABB
CI858K01 3BSE018135R1 ABB
CI858-1 3BSE018137R1 ABB
3BSE018137R1  Industrial module ABB
CI858-1 Industrial module ABB
CI855 Industrial module ABB
3BSE018134R1  Industrial module ABB
CI855-1 Industrial module ABB
CI855-1 3BSE018134R1  ABB
CI854K01 3BSE025961R1  ABB
3BSE025961R1 control unit  ABB
CI854K01 control unit  ABB
3BSE030221R1 control unit  ABB
CI854A control unit  ABB
CI854A 3BSE030221R1  ABB
CI854A-EA 3BSE030221R2 ABB
3BSE030221R2  control unit ABB
CI854A-EA   control unit ABB
3BSE025347R1  control unit ABB
CI854  control unit ABB
CI854  3BSE025347R1 ABB
CI853-1 3BSE018125R1 ABB
3BSE018125R1 Industrial module ABB