Description
XV-152-D0-84TVR-10 Экран Eaton
современными требованиями дизайна. Как и XV303, конденсаторный многоточечный сенсорный дисплей поддерживает реализацию
современного пользовательского интерфейса (управление жестами)
и предлагает 7 – и 10 – дюймовые дисплеи, в том числе версии с высоким соотношением сторон 16: 9.
просто и требует меньше компонентов и инженерных работ, чем традиционная проводка. SmartWire – DT интегрирует связь и ввод / вывода
непосредственно в устройства управления, отображения и переключения, открывая новые возможности для инновационных и экономичных решений.
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.
According to reports, ABB”s technical expertise and experience in many industries will be combined with Microsoft”s Azure intelligent cloud system and B2B
engineering capabilities to create greater value for customers. Combined with ABB”s more than 70 million connected devices installed globally and more than
70,000 running control systems, ABB and Microsoft will join forces to create one of the world”s largest IIoT industrial cloud platforms.
It is worth noting that IoT expert Guido Jouret (formerly general manager of Cisco’s IoT department) became the group’s chief digital officer on October 1, 2016.
This marks that ABB is accelerating digital transformation and comprehensively building a new “Internet of Things+” ecosystem. ABB also hopes to obtain higher
profits from this, and has proposed a financial target for 2015-2020 of pre-tax profit growth of 11%-16%.
FANUC
FANUC recently established the IoT platform Fanuc Intelligent Edge Link and Drive (FIELD), which uses NVIDIA artificial intelligence system. FIELD can realize the
connection of machine tools, robots, peripheral equipment and sensors in the automation system and provide advanced data analysis to improve the production quality,
efficiency, flexibility and equipment reliability in the production process – thereby improving the overall efficiency of the equipment ( OEE) and promote the improvement of production profits.
The system can also improve robot productivity through artificial intelligence and bring autonomous learning capabilities to automated factory robots around the
world. FANUC will use a series of GPUs and deep learning software designed and produced by NVIDIA to enable AI artificial intelligence to be used in clouds, data centers
and embedded devices.
When talking about the cooperation with FANUC, NVIDIA co-founder and CEO Jensen Huang said that the era of AI artificial intelligence has officially arrived.
Through the deep learning function of GPU, it will stimulate a
new wave of software learning and machine inference calculations. The most exciting of these is the ability of robots to understand their surroundings and
interact with humans. NVIDIA is very happy to work with FANUC, the global leader in automated factories and robots, to build intelligent machines to benefit the future of mankind.
It is reported that FIELD continues the success of the existing Fanuc ZDT (zero downtime function), which effectively combines Cisco cloud technology,
IoT data collection software and point-to-point security. After connecting the robot through the use of an industrial Ethernet switch, it is then connected to Cisco”s UCS server – the system runs
based on FANUC and Cisco”s ZDT data collection software. Automotive industry users can immediately realize reductions in downtime and cost savings after using the system.
FIELD provides users and application developers with advanced machine learning and artificial intelligence capabilities and brings manufacturing to
new heights of productivity and efficiency. Currently, FANUC has applied these new technologies to robotic bulk picking, production anomaly detection and fault
prediction. Because FIELD combines artificial intelligence and cutting-edge computer technology, distributed learning is possible. The operating data of robots and
equipment are processed in real time on the network,
which also enables more intelligent coordination of production between various equipment, making complex production coordination that was previously difficult to
achieve easily completed.
In fact, many years ago, FANUC began to cooperate with Cisco to carry out the “non-stop” zero downTIme plan. In the plan, FANUC and Cisco will join forces to
build an Internet of Things system that will allow FANUC to supervise
every robot in the factory, predict abnormal conditions of the robots, and send more technicians to repair the robots before problems occur. So far, the program has
tested 2,500 robots, including FANUC”s major customer GM General Motors. According to FANUC, the test program saved customers $38 million.
YASKAWA
After talking so much about the Internet of Things strategy of the industrial robot giant, let’s take a break here at Yaskawa and talk about the past.
Midea and KUKA have officially received their marriage certificates, but you must know that as early as August 2015, Midea announced its
robot strategy and established two joint venture subsidiaries with Japan”s Yaskawa Electric.
The two subsidiaries are respectively for industrial robots and service robots, including Guangdong Yaskawa Midea Industrial Robot Co.
, Ltd. (Midea”s equity accounted for 49%) and Guangdong Midea Yaskawa Service Robot Co., Ltd. (Midea”s equity accounted for 60%).
This shows that as early as 2015, Midea was actually “in love” with Yaskawa, but by 2016, she married Kuka.
MTS30M4-38C SEM SERVO MOTORS DC servo motor
TRICONEX 4351A Communication Module (TCM)
TRICONEX 3008 Main processor module 3008N
TRICONEX 8312 Main/Expansion/RXM 8312N2
TRICONEX 8311 8311N Main/Expansion/RXM Power Modules 8311N2
TRICONEX 3504E TMR, DI 64-Point Digital Input Modules
TRICONEX 3564 24 VDC 64-Point Digital Input Modules
TRICONEX 8310N2 Power module
TRICONEX 8310 120 Main/Expansion/RXM 120 VAC/VDC Power Modules
TRICONEX 8105 Blank I/O Slot Panel
Triconex 8112 Remote Expansion Chassis, High-Density Configuration
TRICONEX 8121 Expansion Chassis, Enhanced Low-Density Configuration
Triconex 8111 Expansion Chassis, High-Density Configuration
TRICONEX 8110 Main Chassis High-Density Configuration
Triconex 3505E TMR, Low Threshold 24 VDC Digital Input Modules
TR104-EX ABB Temperature measuring sensor
TRICONEX 3503E TMR with Self-Test 24 VAC/VDC Digital Input Modules
Triconex 3502E TMR with Self-Test 48 VAC/VDC Digital Input Modules
TRICONEX 3501E/3501T TMR 115 VAC/VDC Digital Input Modules
PFTL101A 2.0KN 3BSE004172R1 Load cell
REUTER-STOKES RS-FS-9001 362A1052P104 Flame detector
GE RS-FS-9001 362A1052P001 Flame detector
8521-LC-MT GE Logical controller pac8000
ALSTOM DFI-150-0003 Limelight diagnostic board
ABB NPBU-42C Fiber distribution unit
S70601-SE KOLLMORGEN Servo driver
WOODWARD EGCP-2 8406-121 microprocessor
ACC-24E2A Delta Tau UMAC Turbo 2-Axis Analog Servo Interface
ACC-24E2S DELTA TAU Expansion Board
ACC-36E DELTA TAU Channel 12-Bit A/D Converter Board
ACC-51E Delta Tau UMAC 4096 Interpolator Accessory Card
GE IC754VSF12CTD 12 inch Fast panel controls and views
TRICONEX 3505E Analog Output Module TRICON 3505E
TRICONEX 3506X High density digital input module TRICON 3506X
TRICONEX 3601E Output Module Digital TRICON 3601E
TRICONEX 3601T Digital Output module TRICON 3601T
TRICONEX 3603T Digital Output module TRICON 3603T
TRICONEX 3604E Digital Output Module 24VDC 16 point TMR TRICON 3604E
TRICONEX 3617E Digital Input Module TRICON 3617E
TRICONEX 3700A Analog input module TRICON 3700A
TRICONEX 3625A Digital Input module TRICON 3625A
TRICONEX 3721N Analog input module TRICON 3721N
TRICONEX 3825X Analog input module TRICON 3825X
TRICONEX 4355X Communication module TRICON 4355X
TRICONEX 8120E Main Box TRICON 8120E
TRICONEX 8311N High-density power module TRICON 8311N
TRICONEX 9561-810 Terminal Base Module TRICON 9561-810
TRICONEX AI6700 Analog input module TRICON AI6700
TRICONEX 9566-810 Terminal Base Module TRICON 9566-810
TRICONEX DI2301 Analog input module TRICON DI2301
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