Description
HE693CDC300 Multi channel module
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.
Excitation system ABB module SPDSI22
Excitation system ABB module SPDSI22
Excitation system ABB module SPDSI22
Excitation system ABB module SPDSI14
Excitation system ABB module SPDSI14
Excitation system ABB module SPDSI14
Excitation system ABB module SPDSI14
Excitation system ABB module SPCJ4D34-AA
Excitation system ABB module SPBRC41000000
Excitation system ABB module SPBRC410
Excitation system ABB module SPBRC410
Excitation system ABB module SPBRC410
Excitation system ABB module SPBRC400
Excitation system ABB module SPBRC400
Excitation system ABB module SPBRC300
Excitation system ABB module SPBRC300
Excitation system ABB module SPBLK01
Excitation system ABB module SPBLK01
Excitation system ABB module SPBLK01
Excitation system ABB module SPA-ZC22
Excitation system ABB module SPA-ZC22
Excitation system ABB module SPA-ZC21
Excitation system ABB module SPAU140C
Excitation system ABB module SPAU140C
Excitation system ABB module SPASO11
Excitation system ABB module SPASO11
Excitation system ABB module SPASO11
Excitation system ABB module SPASO11
Excitation system ABB module SPASI23
Excitation system ABB module SPASI23
Excitation system ABB module SPASI23
Excitation system ABB module SPASI23
Excitation system ABB module SPASI23
Excitation system ABB module SPAM150C
Excitation system ABB module SPAD346C3
Excitation system ABB module SPAD346C
Excitation system ABB module SPAD346C
Excitation system ABB module SPAD346C
Excitation system ABB module SPAD330C
Excitation system ABB module SNAT7261 PCP
Excitation system ABB module SNAT7261
Excitation system ABB module SNAT634PAC
Excitation system ABB module SNAT617CHC
Excitation system ABB module SNAT617CHC
Excitation system ABB module SNAT607MCI
Excitation system ABB module SNAT605SDB
Excitation system ABB module SNAT603CNT/61007041
Excitation system ABB module SN:4910391523
Excitation system ABB module SMU-03 3HNA03638-001/01
Excitation system ABB module SMU-03 3HNA024411-001/00
Excitation system ABB module SMU-03 3HNA013638-001/02
Excitation system ABB module SMS01
Excitation system ABB module SMB-01 3HNA006142-001
Excitation system ABB module SM811K01 3BSE018173R1
Excitation system ABB module SM811K01
Excitation system ABB module SM811K01
Excitation system ABB module SM811
Excitation system ABB module SM810K01
Excitation system ABB module SLC01-RE
Excitation system ABB module SK829007-B
Excitation system ABB module SK829007-B
Excitation system ABB module SK829007-B
Excitation system ABB module SK616001-A
Excitation system ABB module SK616001-A
Excitation system ABB module SINT4611C
Excitation system ABB module SINT4510C
Excitation system ABB module SER-740
Excitation system ABB module SE99182066 DSDP170
Excitation system ABB module SE96920414 YPK112A
Excitation system ABB module SE96920414 YPK112A
Excitation system ABB module SDN20-24-100C
Excitation system ABB module SDN20-24-100C
Excitation system ABB module SDI-03 3HNA001582-001/02
Excitation system ABB module SDi-03 3HNA001582-001
Excitation system ABB module SDCS-SNAT624
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