CC-ТDIL11 Power module Honeywell

Product parameters

Model: CC-ТDIL11

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

CC-ТDIL11 is mainly used in the field of industrial automation, such as DCS PLCs, industrial controllers, robots, etc.

CC-ТDIL11 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: CC-ТDIL11 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 CC-ТDIL11 correctly on the device and connect the communication interface cable properly.

Please refer to the user manual for operating CC-ТDIL11 to ensure proper use.

Product Introduction

CC-ТDIL11 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.

TVB6002-1/IMC 1308-644857-12 1381-644857-16  TEL  BOADR
TVB3101-1/ISC 1381-644957-16 1308-644957-12 TEL  BOARD
TVB-1202-1/ANET 1381-647980-12  TEL  board
XV-440-12TSB-1-10  EATON  Touch panel
SLIO-02  ROLLS ROYCE  NETWORK CONTROLLER
45C992 RELIANCE  Analog Input Module
MVI69-MCM  PROSOFT  Modbus Master/Slave Network Interface Module
LD800HSE-3BDH000320R02  ABB  Fieldbus Linking Device
KP3000  ABB  Silicon controlled module
KP2500  ABB  Silicon controlled module
3100-MCM  PROSOFT  Modbus communication interface
1785T-PMPP-1700 Rockwell touch screen
5SHY35L4503  ABB  High voltage IGCT driver module
SCXI-1313A  NI  Terminal Block
SC753A-001-01 Pacific Scientific  Servo Drive
SAC-SW220/EB  ORMEC  SERVOWIRE DRIVE
S22460-SRS  KOLLMORGEN   Servo driven drive
PXI-6713  NI   PXI Analog Output Module
PXI-6602  NI  Counter/Timer Module
PMC-234  RAMIX  CompactFlash Module
PCIE-5565-PIORC  GE  Reflective Memory node card
ZETA6104  Parker  Indexer/Drive
KJ1710X1-BA1  EMERSON  Fibre Channel Switch
H1127.0101  Rolls-Royce   Marine Controller
FSA80  DANAHER  Servo  drive
FAW05-5R0  TDK   AC-DC Power Supplies
F7133  HIMA  4 Channel Power Distribution Module
F6217  HIMA  8-Channel Analog Input Module
F3330  HIMA  8-Channel Output Module
F3322  HIMA  Digital Output Module
F3236  HIMA 16-Channel Digital Input Module
EC10-2416BRA  EMERSON  Frequency converter module
DSQC1018  ABB  Computer
DKC11.1-040-7-FW  Rexroth  DKC Drive Controllers
CR-GENO-M6400R3  DALSA  Teledyne Industrial Camera
CLS204  WATLOW ANAFAZE  Temperature control unit
CACR-02-KIBA  YASKAWA  SERVO DRIVER
C2RPS-PSM  ENTERASYS  Power Supply
AT-MR126F  ALLIED TELESIS  TRANSCEIVER MICRO REPEATER
VFD_6713_V2  HONEYWELL  main control panel
330103-00-06-10-02-05CN  Bently Nevada  3300 XL 8 mm Proximity Probes
AT-MX40FST-05 ALLIED TELESIS  International Pty Ltd
ACN CS  METSO   high-performance multi-function
3500/40M 140734-01 Bently Nevada  Proximitor Monitor I/O Module
70085-1010-411 13A  AI-TEK  Speed sensor
8602-FT-ST  GE  PAC8000 Field terminal, standard
ZETA6104   PARKER  Indexer/Drive
1C31179G01 Westinghouse  Remote Input Output Master Attachment Unit
VT-HNC100-1-23W-08-P-0  Rexroth  VT-HNC100 Digital Axis Controllers
VRDM 39750 LWB  Berger Lahr  stepper motor
VFD4A8MS21ANSAA  Delta  Variable frequency Drive (VFD)
VE6041F01C1 EMERSON  Smart Switch
UMI-7764  NI  Universal Motion Interface
TVD1.3-15-03  Rexroth  TVD Supply Modules
T2550L80F32ELINSERIAL  FOXBORO  unit controller