BC25 Multifunctional control board

Product parameters

Model: BC25

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

BC25 is mainly used in the field of industrial automation, such as DCS PLCs, industrial controllers, robots, etc.

BC25 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: BC25 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 BC25 correctly on the device and connect the communication interface cable properly.

Please refer to the user manual for operating BC25 to ensure proper use.

Product Introduction

BC25 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.

Excitation system ABB module 3AFE61320946P0001 POS.A6091
Excitation system ABB module 3ADT316300R1510 SDCS-PIN-4B
Excitation system ABB module 3ABD10058721DX5221
Excitation system ABB module 37911-4-0338125
Excitation system ABB module 23BA20D
Excitation system ABB module 216VC62a HESG324442R13/E
Excitation system ABB module 216VC62A HESG324442R112/F
Excitation system ABB module 216VC62a
Excitation system ABB module 216VC62A
Excitation system ABB module 216NG63A HESG441635R1
Excitation system ABB module 216NG63
Excitation system ABB module 216NG62A HESG441634R1/K
Excitation system ABB module 216NG61A HESG441633R1
Excitation system ABB module 216GD61a
Excitation system ABB module 216EA62 1MRB150083R1/F
Excitation system ABB module 216EA61b
Excitation system ABB module 216DB61 HESG324063R100/J
Excitation system ABB module 216DB61
Excitation system ABB module 216AB61
Excitation system ABB module 216AB61
Excitation system ABB module 1VCF752000
Excitation system ABB module 1TGE120028R0010
Excitation system ABB module 1TGE120028R0010
Excitation system ABB module 1TGE120021R0110
Excitation system ABB module 1TGE120021R0110
Excitation system ABB module 1TGE120021R0010
Excitation system ABB module 1tge120011r1001
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Excitation system ABB module 1TGE120010R1300
Excitation system ABB module 1TGE120010R
Excitation system ABB module 1TGE106170M4200
Excitation system ABB module 1TGB302003R0003
Excitation system ABB module 1SVR450081R0000
Excitation system ABB module 1SVR360663R1001
Excitation system ABB module 1SVR040000R1700
Excitation system ABB module 1SVR011718R2500
Excitation system ABB module 1SVR011718R2500
Excitation system ABB module 1SNA684252R0200
Excitation system ABB module 1SFB536068D1011
Excitation system ABB module 1SBP260022R1001
Excitation system ABB module 1SAR700012R0005
Excitation system ABB module 1SAP530100R0001
Excitation system ABB module 1SAP520100R0001
Excitation system ABB module 1SAP173200R0001
Excitation system ABB module 1SAP150000R0170 PM590-ETH
Excitation system ABB module 1SAJ520000R0101 UMC100
Excitation system ABB module 1MRS050644
Excitation system ABB module 1MRS050644
Excitation system ABB module 1MRS050496
Excitation system ABB module 1MRK002246-BD
Excitation system ABB module 129765-008
Excitation system ABB module 129740-102
Excitation system ABB module 129740-002
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Excitation system ABB module 128877-103
Excitation system ABB module 086444-005
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Excitation system ABB module 086318-002
Excitation system ABB module 086318-002