Description
hardware flow control. It is an ideal choice in the field of industrial automation.
2 Leveraging big data tool chains
After the data collected from the manufacturing product value chain is stored in the database, a data analysis system is required to analyze the data.
The manufacturing data analysis system framework is shown in Figure 1. Data is first extracted, transformed, and loaded (ETL) from different
databases into a distributed file system, such as Hadoop Distributed File System (HDFS) or a NoSQL database (such as MongoDB). Next,
machine learning and analytics tools perform predictive modeling or descriptive analytics. To deploy predictive models, the previously mentioned tools
are used to convert models trained on historical data into open, encapsulated statistical data mining models and associated metadata called Predictive
Model Markup Language (PMML), and Stored in a scoring engine. New
data from any source is evaluated using models stored in the scoring engine [9].
A big data software stack for manufacturing analytics can be a mix of open source, commercial, and proprietary tools. An example of a
manufacturing analytics software stack is shown in Figure 2. It is known from completed projects that existing stack vendors do not currently
offer complete solutions. Although the technology landscape is evolving rapidly, the best option currently is modularity with a focus on truly distributed
components, with the core idea of success being a mix of open source and commercial components [10].
In addition to the architecture presented here, there are various commercial IoT platforms. These include GE”s Predix ( www.predix.com ), Bosch”s IoT
suite (www.bosch-iot-suite.com), IBM”s Bluemix ( www.ibm.com/cloud-computing/ ), ABB based on Microsoft Azure IoT services and people platform
and Amazon’s IoT cloud (https://aws.amazon.com/iot). These platforms offer many standard services for IoT and analytics, including identity management and data
security, which are not covered in the case study here. On the other hand, the best approaches offer flexibility and customizability, making implementation
more efficient than standard commercial solutions. But implementing such a solution may require a capable data science team at the implementation site.
The choice comes down to several factors, non-functional requirements, cost, IoT and analytics.
https://www.xmamazon.com
https://www.xmamazon.com
https://www.plcdcs.com/
www.module-plc.com/
https://www.ymgk.com
3ASC25H209 DATX110 ABB Control Module
DATD100 3ASC25H207 DATD 100 Termination board
DATX110 3ASC25H209 DATX 110 I/O board
DATX120 3ASC25H210 DATX 120 I/O board Remote I/O DI+DO+AI+AO
DATX121 3ASC25H218 DATX 121 I/O board Remote DI+DO+AI
DATX111 3ASC25H224 DATX 111 I/O board
ABB DATX113 3ASC25H236 DATX 113 Relay board
DATX132 3ASC25H216A DATX 132 Torque observer board
ABB DATX130 3ASC25H214 Rotor feedback board
DAPU100 3ASC25H204 Control board, I/O
ABB ASFC-01C SWITCH FUSE CONTR ASFC-01C
ABB UFC719AE01 3BHB003041R0101 3BHB00072R0101 Controller unit
ABB UFC721AE101 3BHB002916R0101Control system module
ABB XVC724BE101 3BHE009017R0101 PCD board
TRICONEX 4000093-310 External terminal input cable assembly
TRICONEX 4000103-510 Cable Assembly
TRICONEX 4000098-510 cable
E+H FMU30-10A1/0 Ultrasonic measurement
HIEE401807R0001 ABB CM C910 A Flash Memory Subboard
WATLOW ANAFAZE CLS204 controllers
PCI-6014 B series multi-function DAQ card NI
PCIe-6323 DAQ X-Series Multifunction I/O Device
PCI-5412 PCI Arbitrary Waveform Generator
PCI-7831R Multifunctional Intelligent DAQ Module
PCI-7344 4-axis stepper/servo control card
PCI-7324 Four-axis closed-loop controller
PCI-6259 16-bit multi-function DAQ module NI
Johnson MS-NAE5510-3 Network Engine
PCI-6733 Analog Output Board NI
PCI-6601 Counter/Timer NI
PCI-6561 LVDS Digital Waveform Generator/Analyzer (16mb/channel)
PCI-6115 Onboard Memory NI
1C31227G02 Analog Input High Performance HART Module
PCI-6733 Analog Output Board NI
PM866 3BSE050200R1 Processor unit PM866K01 PM866AK01
PCI-6561 LVDS Digital Waveform Generator/Analyzer (16mb/channel)
PR9376/010-011 PR9376 series speed sensor
WATLOW ANAFAZE CLS216 CAS200 controllers
3500/15 AC Power Module and DC Power Module 127610-01
VBS01-EPD Symphony®Plus Hardware Selector
EPZ-10203 LENZE expansion board for driving PLC type
KJ2005X1-MQ1 12P6381X042 DeltaV MQ controller
AL81G ACQUISITION 1 GHz Analog-to-Digital Converter Board
PFEA111-20 3BSE050090R20 tension electronics
SBRIO-9607 CompactRIO Single Board Controller
136188-02 Ethernet/RS232 Modbus I/O Module
T8403 Trusted TMR 24 Vdc Digital Input Module 40 Channels
T8461 TMR 24/48 Vdc Digital Output Module
A404K Basler A400 Series Industrial Cameras
TRICON MA2211-100 Process Safety System
TRICONEX 4351B Tricon Communication Module
GPIB-140A Bus Extender
106M1081-01 Universal AC Power Input Module
MVI56E-MCM Modbus Master/Slave Enhanced Network Interface Module
XVC767AE102 3BHB007209R0102 Driver control center
XVC768102 3BHB007211R102 main control board
T8461C Trusted TMR Expander Processor
FCP270 P0917YZ field control processor 270
04220FL11232A RXI controller Multiple Ethernet ports
Y-3023-2-H00AA y series brushless servo motor
Reviews
There are no reviews yet.