TU837V1 DCS excitation system

Product parameters

Model: TU837V1

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

TU837V1 is mainly used in the field of industrial automation, such as DCS PLCs, industrial controllers, robots, etc.

TU837V1 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: TU837V1 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 TU837V1 correctly on the device and connect the communication interface cable properly.

Please refer to the user manual for operating TU837V1 to ensure proper use.

Product Introduction

TU837V1 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.

3.2 Machine learning

As the functionality of distributed computing tools such as Spark MLLib (http://spark.apache.org/mllib) and SparkR (http://spark.apache
.org/docs/latest/index.html) increases, it becomes It is easier to implement distributed and online machine learning models, such as support
vector machines, gradient boosting trees and decision trees for large amounts of data. Test the impact of different machine parameters and process
measurements on overall product quality, from correlation analysis to analysis of variance and chi-square hypothesis testing to help determine the impact of individual
measurements on product quality. This design trains some classification and regression
models that can distinguish parts that pass quality control from parts that do not. The trained models can be used to infer decision rules. According to the highest purity rule,
purity is defined as Nb/N, where N is the number of products that satisfy the rule and Nb is the total number of defective or bad parts that satisfy the rule.

Although these models can identify linear and nonlinear relationships between variables, they do not represent causal relationships. Causality is critical to
determining the true root cause, using Bayesian causal models to infer causality across all data.

3.3 Visualization

A visualization platform for collecting big data is crucial. The main challenge faced by engineers is not having a clear and comprehensive overview of the complete manufacturing
process. Such an overview will help them make decisions and assess their status before any adverse events occur. Descriptive analytics uses tools such as
Tableau (www.tableau.com) and Microsoft BI (https://powerbi.microsoft.com/en-us) to help achieve this. Descriptive analysis includes many views such as
histograms, bivariate plots, and correlation plots. In addition to visual statistical descriptions,
a clear visual interface should be provided for all predictive models. All measurements affecting specific quality parameters can be visualized and the data
on the backend can be filtered by time.

Excitation system ABB module DSQC540
Excitation system ABB module DSQC539 3HAC14265-1
Excitation system ABB module DSQC539
Excitation system ABB module DSQC532B
Excitation system ABB module DSQC518A
Excitation system ABB module DSQC513
Excitation system ABB module DSQC510
Excitation system ABB module DSQC509
Excitation system ABB module DSQC509
Excitation system ABB module DSQC508
Excitation system ABB module DSQC505
Excitation system ABB module DSQC504
Excitation system ABB module DSQC504
Excitation system ABB module DSQC503A
Excitation system ABB module DSQC501
Excitation system ABB module DSQC500 3HAC3616-1/03
Excitation system ABB module DSQC462
Excitation system ABB module DSQC417
Excitation system ABB module DSQC400E
Excitation system ABB module DSQC386
Excitation system ABB module DSQC377B
Excitation system ABB module DSQC377A
Excitation system ABB module DSQC373
Excitation system ABB module DSQC370
Excitation system ABB module DSQC369
Excitation system ABB module DSQC368
Excitation system ABB module DSQC365
Excitation system ABB module DSQC363
Excitation system ABB module DSQC361 3HAC0373-1
Excitation system ABB module DSQC361
Excitation system ABB module DSQC355A
Excitation system ABB module DSQC354
Excitation system ABB module DSQC354
Excitation system ABB module DSQC352B 3HNE00009-1/17
Excitation system ABB module DSQC352B 3HNA016493-00
Excitation system ABB module DSQC352A 3HNE00009-1/11
Excitation system ABB module DSQC352A 3HNE00009-1
Excitation system ABB module DSQC352A
Excitation system ABB module DSQC352 3HNE00009-1/07
Excitation system ABB module DSQC352  3HNE00009-1
Excitation system ABB module DSQC352
Excitation system ABB module DSQC352
Excitation system ABB module DSQC350
Excitation system ABB module DSQC350
Excitation system ABB module DSQC346U 3HAB8101-13/07A
Excitation system ABB module DSQC346U
Excitation system ABB module DSQC346G
Excitation system ABB module DSQC346G
Excitation system ABB module DSQC346E
Excitation system ABB module DSQC346B
Excitation system ABB module DSQC345E
Excitation system ABB module DSQC345E
Excitation system ABB module DSQC345B
Excitation system ABB module DSQC345A
Excitation system ABB module DSQC332A 3HAC17973-1
Excitation system ABB module DSQC332A
Excitation system ABB module DSQC332
Excitation system ABB module DSQC330
Excitation system ABB module DSQC327A 3HAC17971-1/03
Excitation system ABB module DSQC327A 3HAC17970-1
Excitation system ABB module DSQC327A
Excitation system ABB module DSQC327 3HAB7230-1
Excitation system ABB module DSQC326
Excitation system ABB module DSQC324 3HAB5957-1
Excitation system ABB module DSQC323
Excitation system ABB module DSQC322
Excitation system ABB module DSQC322
Excitation system ABB module DSQC321