Description
PPC907BE 3BHE024577R0101 Электрический фильтр ABB
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.
330780-50-00 3300 XL 11 mm Proximitor Sensor
0100-76124 AMAT Analog I/O VME Module
PP045.0571-K30 Power Panel PP45 5.7″ QVGA color
A1BA4D-05 Terminal Boards (for FIO) YOKOGAWA
MMS3125/022-020 Shaft-Vibration Monitor EMERSON
1756-IR6I ControlLogix analog input module
PPC-R22.1N-N-Q1-NN-NN-FW Rexroth HCS Compact Converters
0100-20100 AMAT Analog I/O VME Module
IC693PWR324 90-30 series 30-watt power supply
RDIOR420 KONGSBERG Control and Monitoring System
FBM242 P0916TA Discrete Output Interface Module
CC-PDIS01 Experion Series-C I/O Module HONEYWELL
FBM216 P0922VV Redundant HART® Communication Input Module
330190-040-00-CN 3300 XL 8mm Proximity Transducer System
FBM217 P0916PW Discrete Input Interface Module FOXBORO
JRMSI-120XBP01200 MOUNT BASE RACK Schneider
FBM217 P0914TR Discrete Input Interface Module
IC693MDL940 90-3- Series Programmable Logic Controller
IC693ALG392 GE Analog Current/Voltage Output
1794-AENT Flex I/O communication adapter Allen-Bradley
1784-CF64 Compact flash card Allen-Bradley
1756-RM ControlLogix enhanced redundancy module
330980-51-00 3300 XL NSv Proximitor Sensor
1794-IB32 Allen-Bradley Flex I/O DC input module
1794-IE12 Flex IO High Density Analog Input Module
1794-OE12 Allen-Bradley Flex IO analog output module
1794-OB32P Determined by installed terminal base
1769-L36ERMA 1769 CompactLogix controller Allen-Bradley
S-073N 3BHB009884R0021 ABB ACS2000 high voltage inverter
1756-OB32 ControlLogix Discrete output module Allen-Bradley
FBM214 P0922VT HART Communication Input Interface Module
PXIE-5105 8-Channel PXI Oscilloscope NI
128164-07-204-10-02-05 3300 XL NSv Proximity Transducer
128164-08-204-10-02-05-RU 3300 XL NSv Proximity Transducer
128164-02-312-05-02-05 3300 XL NSv Proximity Transducer
170133-090-00 PROXIMITY SENSOR MODULE
128164-05-204-10-02-RU 3300 XL NSv Proximity Transducer
3500/40-04-00 Bently Nevada Proximitor Monitor
140734-02 Bently Nevada 3500/42m Proximitor Seismic Monitor
330130-080-01-05-RU 3300 XL Standard Extension Cable
330104-15-25-05-02-05-RU 3300 XL 8 mm Proximity Probes
163179-01 Bently Nevada Temperature Monitors
330180-91-RU Bently Nevada 330180 Proximity Sensor
330196-05-30-10-RU 3300 XL 8mm Reverse Mount Probes
330130-080-12-05 3300 XL 8mm Proximity Transducer System
3500/22-01-01-R0 288055-01 146031-01 Transient Data
330130-070-01-05 3300 XL STANDARD EXTENSION CABLE
330104-00-04-10-02-RU 3300 XL 8 mm Proximity Probes
330180-91-05-RU Bently Nevada 330180 Proximity Sensor
3500/15-04-04-00 Bently Nevada Power Supply
330130-080-12-RU 3300 XL Extension Cable
330750-60-RU High Temperature Velomitor System
330103-00-07-10-02-05 3300 XL 8 mm Proximity Probes
Reviews
There are no reviews yet.