Company Challenges - IntelliSense.io - EPSRC Conference on Industrial Sustainability
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IntelliSense.ioBeyond the hype - Real World Applications /
Solutions of Internet of Things
What is IoT?
The Internet of Things (IoT) is the network of physical objects accessed through the Internet, as defined by technology analysts and visionaries.
CISCO 2014
Small packets of data to a large set of nodes, so as to integrate and
automate everything from home appliances to entire factories
IEEE Spectrum 1994
….the concept of basically connecting any device with an on and off switch
to the Internet (and/or to each other)FORBES 2014
inanimate objects interact, potentially independently, with each other and
with their environmentMORGAN STANLEY 2014
Gartner Hype Curve 2014
Industrial IoT vs Consumer IoT
vs
Industrial IoT in 2014
Industrial IoT Today
• Sensors in Place• Ethernet / Network
connectivity in place• Factory Control Systems
in place
IoT Challenges
Data in SILOS
Security (related to data storage & residency)
Multiple user types with different requirements
IoT’s Impact on Industrials
80% of energy / opex is generated from 20% of systems
8
Well EffectivenessInjection & Extraction
wells
Well EfficiencyRecovery wells &
Pump stations
Risk ControlMonitor wells &
Transportation piping
• Pressure• Inlet/Outlet
• Activity• Running cycles
• Flow Capacity• Temperature
• Energy• Load
Environmental H&S
Generation - WSN
Injection well as case example.
IoT Application Mining Industry
IoT Application Process Industries
Generation Distribution Consumption
• Utility Generation Systems: Optimise air, gas, water systems
• Distribution: track air leakage in distribution
• Consumption: Factory productions systems
IoT Application Common Themes
• IoT impact on industrials can make them efficient and sustainable
• It is not the technology, but what “Use Case” it supports is what matters?
• Traditional processes and factories have: • Local control and supervisory systems
(INTEGRATION) • Only Instrument assets where data is not available
(INSTRUMENTATION)• Predict performance based on correlations (BIG
DATA)• An intuitive user interface to implement and track
optimisation (HUMAN COMPUTER INTERFACE)
Key Takeaways
Data is increasing exponentially• 90% of all the data that has ever existed
was created in the last 2 years
Potential global industrial savings are vast:1% efficiency gains in Oil & Gas
= $90Bn reduction in CapEx
CAMBRIDGE leading the way withIntelliSense.io playing it’s part