2. IntelliSense.io Infrastructure in ARM
• Target Building: ARM 6
• Target Systems:
• Cooling Systems
• HVAC Systems
• Target Assets:
• Pumps
• AHU’s
• Data Available
• Unit Power
• Unit Energy
• Ambient Temperature
• Pressure
• Target business benefits
• Data accessible to other applications
• Improve plant & building efficiency
41 feeds from 8 assets providing data
every 20 seconds
3. WP 4.3 - Implement common architecture and
interfaces
Our Live Feeds are all:
• Hypercat Enabled
• SenML feeds are readable
4. WP 4.3 – Demonstrate Inter Operability (Intra Cluster)
Demonstrated data interoperability with the DISTANCE cluster: schools data
(ambient temperature data from 7 schools)
Use Case: compare ambient temp of individual schools and internal temp of
ARM6 building over the same time filter.
5. Lessons from Phase I
Challenges
• Defined use cases required to create value from combining data streams
• Implementation of common interfaces done with own flavours
• Focussed leadership required to get stakeholders aligned
Solutions that worked
• Do less (MVP Model works – do something small that creates value to prove
the concept)
• Horizontal vs Vertical debate in IOT will go on for some time
6. IntelliSense.io benefits from Open IOT project
Challenges before the project
• Physical asset to sensor mapping per site internally
used to be a time consuming activity
• Sharing sensor data across different environments
• Interface with legacy client control systems
Potential Solutions
• Use Hypercat catalogues to map sensor data
• Use SenML as the data standard across various
internal environments
• Evangelise to industrial control vendors on the
benefits of Hypercat