Description
hardware flow control. It is an ideal choice in the field of industrial automation.
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.
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SC520M 3BSE016237R1 ABB Submodule Carrier incl
SA9923a-E HIEE450964R0001 ABB power-supply module
REF542PLUS ABB Relay protection device
PP836 3BSE042237R1 ABB Operator Panel
PP875 3BSE092977R1 ABB Operator Panel
PP865 3BSE042236R1 ABB Operator Panel
PP836A 3BSE042237R2 ABB Operator Panel
PM891K02 3BSE053242R1 ABB Processor Unit
PM891K01 3BSE053241R1 ABB Processor Unit
AC800M 3BSE053240R1 PM891 ABB Processor Unit
PM866K01 3BSE050198R1 ABB Processor Unit
PM866A-2 3BSE081230R1 ABB control module
PM864AK01-eA 3BSE018161R2 ABB Processor Unit
PM864AK01 3BSE018161R1 ABB Processor Unit
PM861AK01 3BSE018157R1 ABB Processor Unit
PM803F 3BDH000032R1 ABB Processor module
PFTL101B 20KN 3BSE004203R1 ABB Tension sensor module
PFSK162 3BSE015088R1 ABB Circuit board card
PFSK160A 3BSE009514R1 ABB Signal concentrator board
PFSK152 3BSE018877R2 3BSC980006R361 ABB Signal concentrator board
PFSK151 3BSE018876R1 ABB Signal processor
PFEA113-20 3BSE028144R0020 ABB Tension Electronics
PFEA112-65 3BSE050091R65 ABB Tension Electronics
1SBP260109R1001 XO08R2 ABB Relay Output Extension Module
XDD501A101 3BHE036342R0101 ABB Processor module
USC329AE01 ABB Control/Interface Panel
UNS4881b,V4 3BHE009949R0004 ABB Excitation Module
UNS2882A 3BHE003855R0001 ABB module
UNS2881b-P,V1 3BHE009319R0001 ABB module
UNS2880B-P,V1 3BHE014967R0001 ABB module
UNS0122A-P 3BHE042393R0101 ABB output module
UFC911B110 3BHE037864R0110 ABB PLC Processor module
UFC762AE101 3BHE006412R0101 ABB PLC Controller Module
UFC760BE42 3BHE004573R0042 ABB interface board
UFC719AE01 3BHB003041R0001 3BHB000272R0001 ABB Controller module
UDD406A 3BHE041465P201 ABB Digital input module
UCD240A101 3BHE022287R0101 ABB Analog Output Modules
UCD224A103 3BHE023681R0103 ABB Processor module
UBC717BE101 3BHE021887R0101 ABB Control card module
UAC326AE HIEE401481R0001 ABB Main board drive board
UAA326A02 HIEE300024R2 ABB Main board drive board
5SHY3545L0009 3BHB013085R0001 ABB Silicon controlled motherboard
5SHX1445H0002 3BHL000387P0101 ABB Silicon controlled motherboard
UAD206A101 3BHE019958R0101 ABB Programmable logic Controller
3ASC25H203 DAPC100 ABB Main control board of pressure regulating device
VMIPMC-5565 VMIC Reflective Memory PMC Modules
T8311 ICS TRIPLEX Trusted TMR Expander Interface
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