3BHL000986P0006 DCS excitation system

Product parameters

Model: 3BHL000986P0006

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

3BHL000986P0006 is mainly used in the field of industrial automation, such as DCS PLCs, industrial controllers, robots, etc.

3BHL000986P0006 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: 3BHL000986P0006 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 3BHL000986P0006 correctly on the device and connect the communication interface cable properly.

Please refer to the user manual for operating 3BHL000986P0006 to ensure proper use.

Product Introduction

3BHL000986P0006 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.

JRCS GMS-M01A CPU MODULE
EMERSON VISION CPU UNIT
AUXITROL M-11-528 CPU SUPERVISOR PCB CARD
ALSTOM VME-7700RC-PN-721-6140-00 CONVERTEAM COMPUTER MODULE
GE Controller module  VMIVME-4140-000
WEIDMULLER WAS4 PRO DC-DC SIGNAL CONVERTER
VICOR POWERBOX PEU-106-C DC CONVERTER
ULSTEIN MARINE ELECTRONICS AS ISO1010 ART-60663 CONVERTER MODULE
SULZER PRINT-BG-Art.No-112.045.584.200 ECU CONTROL PANEL
SMC PC15 IP CONVERTER
SHINKO MOC-6025C-10A CONVERTER MODULE
SHINKO ELECTRIC MOC-6025-2T-10A CONVERTER MODULE
SCONINC 2000 SERIES SCONI-2300-5NY ISOLATED CONVERTER
SCONINC 2000 SERIES SCONI-2100-2NY ISOLATED CONVERTER
PROCES-DATA PD661-SPI SIMPLE P-NET INTERFACE RS-485 TO LIGHT-LINK CONVERTER
PR 3105 ISOLATED CONVERTER
POWER PLAZA PS 25-24-15 DC-DC CONVERTER
NABCO NPS-101-881-74740781 PCB-DC-CONVERTER
MELCHER K1000-LK1001-9R AC-DC CONVERTER
JASTRAM ENGINEERING JA-701126-2-DSC-100 DIGITAL STEERING CONTROLLER
KONGSBERG GLB-7B-7A-SPAREB DUAL SENSOR CONVERTER
HANLA AD-82 ANALOG DIGITAL CONVERTER
CEGELEC-AAS MINISEMI-380-415-42E Frequenzumrichter
CEGELEC-AAS MINISEMI-380-415-42 Frequenzumrichter
ATC TECHNOLOGY ATC-850 ISOLATED CONVERTER
ALSTOM MICROSEMI-380 BOX UNIT
YAMATAKE J-SSP50-22 CONTROLLER
YAMATAKE J-SSP50-21 CONTROLLER
YAMATAKE J-SRP80-020 CONTROLLER
YAMATAKE CORPORATION C315GA040500 DIGITAL TEMPERATURE CONTROLLER
YAMATAKE CORPORATION C312GA000500 DIGITAL TEMPERATURE CONTROLLER
YAMATAKE CORPORATION AZBIL-SDC31-C312GA000100 DIGITAL INDICATING CONTROLLER
WYNN MARINE 1000.115.110.1C SERIES WIPER CONTROLLER
WYNN 1000-230-110-IC STRAIGHT LINE WIPER CONTROLLER
WOODWARD 8290-184 REV-R THROTTLE CONTROLLER
UCHIDA URP-15W-10G DECK CRANE CONTROLLER
UCHIDA U-SYS-081 DECK CRANE CONTROLLER
TERASAKI GAC-16MG-S-EIN-302S GENERATING PLANT CONTROLLER
TERASAKI EGS-112A MAC-2S MOTOR AUTOMATIC CONTROLLER
TELEMECANIQUE-SCHNEIDER ELECTRIC TSX MICRO-TSX3722101 CONTROLLER
SELCO M2500 ENGINE CONTROLLER
SCANA MAR-EL N-3880 DALEN MPS210 CONTROLLER MODULE
SCANA MAR-EL N-3880 DALEN MPS200 CONTROLLER MODULE
SCANA MAR-EL AS N-3886 DALEN MP-501 CONTROLLER PCB CARD
SBS TECHNOLOGY EGE-CONTROLLER SBS5000 EGE MONITOR CONTROLLER
SAE ELEKTRONIK GMBH KA-40-RS-232-T CONTROL UNIT
SAACKE MARINE SYSTEMS RSE-P II CONTROLLER
SAACKE F-OSA-1-8400-143200-FOSA BURNER PROGRAM CONTROLLER
ROLLS-ROYCE MARINE-ULSTEIN UMAS-E0 CONTROLLER PANEL
ROLLS-ROYCE MARINE SLIO-02 CANMAN CONTROLLER NETWORK MODULE