talk on industrial internet of things @ intelligent systems tech forum 2014
DESCRIPTION
The Industrial Internet can be thought of as Intelligent Industrial Systems. A subset of Intelligent Systems per IDC’s taxonomy, these systems have extremely high value not just in terms of product and process optimizations, efficiency and cost savings but in the enablement of new business models such as mass customization in manufacturing. This session will focus on the state of Industrial Internet today, the efforts underway to make the Industrial Internet a reality, leading companies, technologies and products in the space, efforts at standardization, case studies of the Industrial Internet in action, and opportunities in the space.TRANSCRIPT
Produced by
Deep Dive: The Industrial Internet
Ahmed Mahmoud, Sr. Group Manager, NI
Graphic based on NI “Escalating Complexity of Systems”
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Our Mission
We equip engineers and scientists with systems that
accelerate productivity, innovation, and discovery.
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A Snapshot of Our Long-Term Track Record of Growth
Revenue: $1.2 billion in 2013
Global Operations: Approximately 7,100
employees; operations in almost 50 countries
Broad customer base: More than 35,000
companies served annually
Diversity: No industry >15% of revenue
Culture: Ranked among top 25 companies
to work for worldwide by the Great Places
to Work Institute
Strong Cash Position: Cash and short-term
investments of $402M at June 30, 2014
1985-2013
$1200M
$0M
$400M
$800M
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NI’s Role in the Current IIoT Market
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SMART
Factory
Grid
Machine
City
Car
SMART
Phone
Wearable
TV
Appliances
Home
Connectivity Data Analytics
INDUSTRIALInternet of Things
CONSUMERInternet of Things
Based on Moor Insights & Strategy's report Segmenting the Internet of Things (IoT)
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The Industrial Internet Applications
Condition Monitoring
Factory of the Future
Smart Grid
Industrial Control
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The Escalating Complexity of Systems
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Requires a Platform-Based Design
Modular
Embedded
Control
Platform
Software
Desktops,
Laptops and
Mobile
Modular Data
Acquisition
Platform
Modular Test
Platform
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Requires a Platform-Based Design
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NI’s Platform-Based Approach to Embedded System Design
VS.
Flexible Off-The-Shelf SolutionTraditional Design Approach
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Industrial IOT System
Real-Time
High Performance
Scalability
Computation
Time Synchronization
Determinism
Interoperability
Communication
Adaptive Control
Design Methodology
Models of Computation
Control
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Challenges for Industrial IOT System
Heterogeneous Processing
Advanced Sensing
Modularity
Computation
Bandwidth/Latency
Synchronization
Security
Communication
Complexity
Abstraction
Simulation
Design Approach
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System NodesSensors/Actuators IT Infrastructure (Big Analog Data Analytics/Mining)
Corporate Monitoring, Control,
and Diagnostics
Database
Historian
Fault Signature
Database
Advanced Pattern Recognition
Efficiency Monitoring and Modeling
Plant ServersMonitoring/Control
Systems
Online Monitoring,
Analysis,
and Systems
Management
Software
Database
Historian
Industrial Internet Application FrameworkOnline Monitoring and Industrial Control
Accelerometers
Electrical Power
Motors
Sensors/Actuators
Miscellaneous
Temperature Sensors
Imaging
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Embedded Monitoring and Control
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Airbus
reduced development time by 10X
with NI solutions.
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National Grid
increased measurement capability by 400%
with NI solutions.
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Technology Disruptors Tomorrow
Smart
SensorsCloud Mobility
Embedded
Intelligence
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Industry Wants, Needs and Wishes Today
Open Architecture
Continuous Monitoring
Predictive Maintenance
Intelligent Advisers
Advanced Sensor Fusion
Proprietary
Manual Rounds
Schedule Based Maintenance
Human “Databases”
Limited Visibility
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