2nd Day at the EPSRC Annual Conference 2014
'Delivering Impact in Sustainable Manufacturing'.
Sam Bose IntelliSense.io CEO delivered his talk Beyond the Hype - Real World Applications of The Internet of Things for the stream Emergent Technologies & Themes
2. 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 environment
MORGAN STANLEY 2014
5. Industrial IoT in 2014
Industrial IoT Today
• Sensors in Place
• Ethernet / Network
connectivity in place
• Factory Control Systems
in place
6. IoT Challenges
Data in SILOS
Security (related to data storage &
residency)
Multiple user types with
different requirements
7. IoT’s Impact on Industrials
80% of energy / opex is generated from 20% of systems
8. IoT Application Mining Industry
8
Well Effectiveness
Injection & Extraction
wells
Well Efficiency
Recovery wells &
Pump stations
Risk Control
Monitor wells &
Transportation piping
• Pressure
• Inlet/Outlet
• Activity
• Running cycles
• Flow Capacity
• Temperature
• Energy
• Load
Environmental H&S
Generation -WSN
Injection well as case example.
9. 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
10. 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)
11. 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 with
IntelliSense.io playing it’s part
Notas do Editor
Lot of noise in the market driven by Technology companies, some overarching theme:
Connectivity
Lots of Data
Impacting the end thing
The Risks that lie with all this hype. Key is not get stuck in this trough for too long…it will come for sure, but then how to move fast to the stage of enlightenment. In our view that will primarily be driven by how fast we move from a technology looking for problems to….the scenario of a technology delivering solutions.
In our book they are all the same…it is just the user scenarios in the consumer world are quite different to the physical world of heavy industry. This also means that requirements from IOT systems for the industrial users are quite different – the need for stable, secure and scalable systems are much more proficient in the industrial world than the consumer world. Also the ability of the system to seamlessly integrate with the workflow of the end user is key in adoption. For e.g: if you have a factory
The Opportunity to make an impact is huge. The asset or system base is there to be optimised by enacting a system view to the problem. Traditionally in the past lot of asset focussed views has been presented which hasn’t delivered to it’s expectation.