第一張照片是TAIC與美國TIA的合作簽約儀式。第二張照片是第一場的三位演講者。
第一場由這三位專家介紹，
Driving 5G toward an Industry 4.0 Factory
Dr. Jay Lee
Ohio Eminent Scholar, L.W. Scott Alter Chair
Distinguished Univ. Professor Dept. of Mechanical and Materials, Univ. of Cincinnati
IIC（industrial IOT consortium） Testbeds and Impacts to the Industry
Dr. Stan Schneider
CEO of RTI, IIC Steering Committee and Advisory boards for Smart Industry and IoT Solutions World Congress
Testbed: Factory Automation Platform as a Service
Dr. Taizo Kinoshita
Vice President, IoT Business Division Hitachi, Ltd.
Jay Lee,
Industrial big data analytics and CPS cyber physical systems
IMS intelligent manufacturing system
GE industrial internet
http://www.IMScenter,net
6C in big data system, connection, cloud, cyber model/memory, content/context correlation, community, customization
4 dimension: visible to invisible, solve to avoid
GE aviation system
Goodyear tire smart service and intelligent system.
5G is for predictive big data collection with communication. smart self aware system. 3 challenges for big data: broken, bad and background. Collect the sensor data, the cyber-physic /processing data and the controller data.
cyber part: controller part on cloud/ configuration/ recognition
physical data: connection part on sensors
between cyber-physical, conversation between sensor to cyber. Watchdog agent to collect and analyze the data and then predict.
A new book: 工業大數據
fleet: a group of similar assets to operate for the same works.
robotic arms across different factories. They are distributed but their data can be collected to be analyzed together.
Stan Schneider:
three types of IoT, enterprise, consumer and Industrial,
IIoT, industrial IoT, that means consumers don't buy.
distributed architecture: public cloud with security way.
Some examples:
1.GE health care IIoT architecture, fog routing node bridges between data models, QoS, security domains. real time video and waveform ,
2.Physio control, exchange critical care information thru the system to do emergence care
3.Field message bus: Solar power grid, how to manage the vibrating solar power generation, local loop to manage distributed power networks demand
4. After Autonomous cars realize, 30% of jobs will end or change. There are 4 levels of autonomous cars. At level 4, the drivers will not control the car by himself. Fog routing node between data bus and cloud services.
He summarizes that in the future, networking and security is the key.
We can not put everything in the cloud or on things to compute, instead, fog routing is the key. DDS data bus, data centric sharing and filtering of future data, not only centralized database to store data and search for old data.
DDS, reliability, real time, scale and distributed.
http://www.iiconsortium.org
testbed for different verticals.
You don't compete with competitors, but you compete with market transitions.
Taizo Kinoshita, Hitachi
Factory automation platform, IIC testbed, collaborate with Hitachi, Mitsubishi electric corporation, intel
The market of global industrial automation is expected to 44 billion USD in 2020.
The platform will be built to help improvement of productivity of manufacturing and optimization of value chain.
cloud platform: Lumada by Hitachi (data collection, data processing, API for application, network protocol to connect edge device & Iot gateway)
IoT gateway: Intel: Moonailand
Mitsubishi: FA edge device, SLMP, seamless message protocol with open standard ethernet
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