Description
A05B-2452-C900 GE Fanuc Controller Carrie
высотой 3U, расположенный в раме управления под DSPX.
волоконно – оптический разъем на передней панели и передаются в модуль обнаружения заземления.
ABB: Запасные части для промышленных роботов серии DSQC, Bailey INFI 90, IGCT, например: 5SHY6545L0001 AC1027001R0101 5SXE10 – 0181, 5SHY3545 L0009, 5SHI3545L0010 3BHB013088 R0001 3BHE009681R0101 GVC750BE101, PM866, PM861K01, PM864, PM510V16, PPD512, PPPD113, PP836A, P865A, 877, PPP881, PPPP885, PPSL500000 4 3BHL00390P0104 5SGY35L4510 и т.д.
General Electric: запасные части, такие как модули, карты и приводы. Например: VMVME – 7807, VMVME – 7750, WES532 – 111, UR6UH, SR469 – P5 – HI – A20, IS230SRTDH2A, IS220PPDAH1B, IS215UCVEH2A, IC698CPE010, IS200SRTDH2ACB и т.д.
Система Bently Nevada: 350 / 3300 / 1900, предохранительные зонды и т.д., например: 3500 / 22M, 3500 / 32, 3500 / 15, 3500 / 23500 / 42M, 1900 / 27 и т.д.
Системы Invis Foxboro: Серия I / A, управление последовательностью FBM, трапециевидное логическое управление, обработка отзыва событий, DAC,
обработка входных / выходных сигналов, передача и обработка данных, такие как FCP270 и FCP280, P0904HA, E69F – TI2 – S, FBM230 / P0926GU, FEM100 / P0973CA и т.д.
Invis Triconex: Модуль питания, модуль CPU, модуль связи, модуль ввода – вывода, например 300830937214351B, 3805E, 831235114355X и т.д.
Вудворд: контроллер местоположения SPC, цифровой контроллер PEAK150, например 8521 – 0312 UG – 10D, 9907 – 149, 9907 – 162, 9907 – 164, 9907 – 167, TG – 13 (8516 – 038), 8440 – 1713 / D, 9907 – 018 2301A, 5466 – 258, 8200 – 226 и т.д.
Hima: модули безопасности, такие как F8650E, F8652X, F8627X, F8678X, F3236, F6217, F6214, Z7138, F8651X, F8650X и т.д.
Honeywell: Все платы DCS, модули, процессоры, такие как: CC – MCAR01, CC – PAIH01, CC – PAIH02, CC – PAIH51, CC – PAIX02, CC – PAON01, CC – PCF901, TC – CR014, TC – PD011, CC – PCNT02 и т.д.
Motorola: серии MVME162, MVME167, MVME172, MVME177, такие как MVME5100, MVME5500 – 0163, VME172PA – 652SE, VME162PA – 344SE – 2G и другие.
Xycom: I / O, платы VME и процессоры, такие как XVME – 530, XVME – 674, XVME – 957, XVME – 976 и т.д.
Коул Морган: Сервоприводы и двигатели, такие как S72402 – NANA, S6201 – 550, S20330 – SRS, CB06551 / PRD – B040SSIB – 63 и т. Д.
Bosch / Luxer / Indramat: модуль ввода / вывода, контроллер PLC, приводной модуль, MSK060C – 0600 – NN – S1 – UP1 – NNN, VT2000 – 52 / R900033828, MHD041B – 144 – PG1 – UN и т.д.
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.
Display operation panel DCP02
Display operation panel DCF803-0050
Display operation panel DCD60X7/14
Display operation panel DC732F 3BDH000375R0001
Display operation panel DC732F
Display operation panel DC723F
Display operation panel DC722F
Display operation panel DC705F
Display operation panel DC532
Display operation panel DC10-12P0-0000
Display operation panel DATX110/3BSC980004R784/3ASC25H209
Display operation panel DATX110,3BSC980004R784,3ASC25H209
Display operation panel DATX100 3ASC25H208
Display operation panel DAPI100 3AST000929R109
Display operation panel DAPC100 3ASC25H203
Display operation panel DAO01
Display operation panel DAI03
Display operation panel DA701F
Display operation panel D674A906U01
Display operation panel D-20-0-1102
Display operation panel CTB810,HN800
Display operation panel CTB810 HN800
Display operation panel CSA464AE HIEE400106R0001
Display operation panel CSA464AE
Display operation panel CSA464AE
Display operation panel CSA463AE HIEE400103R0001
Display operation panel CSA463AE
Display operation panel CSA463AE
Display operation panel CS513K01 3BSE004772R1
Display operation panel CS513 3BSE000435R1
Display operation panel CS513 3BSE000435R1
Display operation panel CS513 （3BSE000435R）
Display operation panel CS513
Display operation panel CS31
Display operation panel CRBX01
Display operation panel CPUM-07 3HNA018559-001
Display operation panel CPM810
Display operation panel CPM810
Display operation panel CP-CMM
Display operation panel CP-C24/5.0
Display operation panel CP-C24/10.0
Display operation panel CP-ARU
Display operation panel CP-ACM
Display operation panel CP800
Display operation panel CP800
Display operation panel CP450-T-ETH
Display operation panel CP450T
Display operation panel COZBU103342/4
Display operation panel COMMANDER 310
Display operation panel COM0032
Display operation panel COM0011 2RAA005844A0007J
Display operation panel CMA198
Display operation panel CMA140 3DDE300420
Display operation panel CMA136 3DDE300416
Display operation panel CMA135 3DDE300415
Display operation panel CMA135 3DDE300415
Display operation panel CMA135
Display operation panel CMA135
Display operation panel CMA132 3DDE300412
Display operation panel CMA132 3DDE300412
Display operation panel CMA132
Display operation panel CMA131 3DDE300411
Display operation panel CMA131 3DDE300411
Display operation panel CMA130 3DDE300410
Display operation panel CMA127 3DDE300407
Display operation panel CMA126 3DDE300406
Display operation panel CMA125 3DDE300405
Display operation panel CMA124 3DDE300404
Display operation panel CMA123 3DDE300403
Display operation panel CMA123 3DDE300403
Display operation panel CMA123
Display operation panel CMA122 3DDE300402
Display operation panel CMA121 3DDE300401
Display operation panel CMA120 3DDE300400
Display operation panel CMA120 3DDE300400
Display operation panel CMA120
Display operation panel CMA112 3DDE300013
Display operation panel CM772FA3
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