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
PSS SB DI80Z4(301120) Decentralized Digital I/O Circuit
MVI46-MCM Modbus Master/Slave Network Interface Module
REF543KM127AAAA ABB Feeder terminal REF 543
GHG122 COOPER Terminal Module
PHC21A-A022M1-E21A-00/S11 field inverter controller
PCD235A101 3BHE032025R0101 AC 800PEC control system
3500/64M 140734-05 Bently Nevada Dynamic Monitor
PCD230A101 3BHE022291R0101 AC 800PEC control system
MINI-UTDE 10 BASE-T Twisted pair Ethernet terminal
TPMC866-11 TEWS 8 Channel Serial Interface
DS2020FEXAG4 GE VME Control Board
IS215UCVHM06A IS415UCVHH1A B VME Control Board
IC697ALG440 GE current expander module
IC697ALG230 GE base converter module
IC697ACC720 GE Auxiliary Smart Battery Module
IC693MDL646 GE positive / negative logic input module
IC693MDL640 GE 24 Volt DC positive logic input module
IC693CPU341 GE single-slot CPU module
IC693CPU331 GE Series 90-30 component
IC670MDL930K GE relay output module
IC670MDL740J GE positive logic discrete output module
IC670MDL930J GE relay output module
IC693CMM321 GE Ethernet interface module
IC670PBI001 GE Profibus interface unit
IC693APU300K GE High-Speed Counter (HSC) module
IC670MDL740 GE positive logic discrete output module
IC670MDL930 GE relay output module
IC670MDL240K GE Sixteen channel discrete input module
IC670MDL640 GE Discrete Input Module
IC670MDL241J GE discrete input module
IC670MDL644 24 Volts DC Positive/Negative Input Module GE
IC670MDL730 GE DC Output Module
IC670MDL240J GE Sixteen (16) channel discrete input module
IC670CPU350 series 90-30 controller GE
IC670CHS101 I/O terminal block GE
IC670CHS002 I/O terminal block GE
IC660TSA100 GE Terminal assembly
IC660ELD100A GE IC660 CBD100 I/O Block
IC660ELB912G GE µGENI Network Interface Board
IC660EBD020 electronics assembly GE
IC200GBI001 VersaMax communication module GE
IC660BBD025 GE Block I/O from the Genius I/O Block series
IC200CHS001 Barrier-Style I/O Carrier manufactured GE
1756-L62 Allen-Bradley ControlLogix controller
1746-IA16 Allen-Bradley SLC 500 Digital AC Input Module
IC695CRU320-EL 1 GHz CPU from the GE Fanuc RX3i PACSytems
330878-90-00 Bently Nevada Proximitor Sensor
Reviews
There are no reviews yet.