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Reinventing DDC
In the age of data analytics
https://www.memoori.com/audio-reinventing-ddc-age-data-analytics
Webinar Speakers
Jim Lee
CEO, Cimetrics
Alper Üzmezler
CTO, Anka Labs
Anto Budiardjo
CEO, Anka Labs
Agenda ● Comments from AHR
● A New Deal
● What is the Edge?
● DDC Reimagined
● Q&A
Live from
AHR Expo
● 70,000 Visitors
● Mostly mechanical products
● Solid educational program
● “Data is the new Gold”
A New Deal
Changing the dialog between
BAS vendors & building owners
● Open Standards
● Digital Twin
● Service Transparency
Transparency is a key attribute
of the age of data.
A New Deal
White
Paper
Join the discussion at www.newdeal.blog
What is the Edge
Let’s go back to 1980
1980’s IT (Data Processing)
And Today?
The Internet Cloud!
Network stuff here
And, BAS Architecture of Tomorrow…
The Internet Cloud!
Network stuff here
Controls
Analytics
Applications
Analytics CMMSFDD
DR
GUI Commissioning
DDC Reimagined
Semantic data model
StackHu
b
Other licensed
technologies
Visualytik
Third Party
Apps
Open Apps
Anka Optimizer
Custom Apps
Anka Device Operating Systems (AnkaDOS)
1. BAS Controller
2. Analytics
3. Apps Store
Third
Parties
Semantic data model
StackHu
b
Other licensed
technologies
Visualytik
On-board I/OThread Wireless
Anka
Labs
Config tool
Secured Linux OS + Open Source HardwareOpen
Third Party
Apps
Open/Free Apps
Anka Optimizer
Custom Apps
App Framework
BACnet, Modbus,
etc.
An extensible architecture rooted in BAS best practices, and ready for the IIoT future
Data HistorianData Engine
System Architecture Comparison
Cloud
Analytics &
Informatics
Data Store &
Visualization
Gateways &
Supervisory
DDC - Direct
Digital
Controllers
Before AnkaDOS
AHU VAV RTU Security Lighting
Wired
serial
networks
Typical architecture of a building automation system
Cloud
Private/Public
EAC - Edge
Analytics
Controllers
Browser Based
User Interface
Data Store,
Analytics &
Informatics
With AnkaDOS
AHU VAV RTU Security Lighting
IP
network
s
Apps
Private/Public
Cloud
AnkaDOS in Analytics Retrofit
AnkaDOS as an
analytics-enabled
gateway &
supervisor.
Connect to existing
devices & gateways
using...
BACnet (VAV/DDC,
etc.)
Wireless (sensors)
Modbus (meters, etc.)
Browser Based
User Interface
Data Store,
Analytics &
Informatics
Retrofit with
AnkaDOS
Apps
EA
C
Wired/wireles
s DDC &
Sensor
s
VA
V
VA
V
VA
V
AH
U
VA
V
VA
V
Gateway
s
BACnet
On-
Prem
Analytic
s Server
Using AnkaDOS in existing buildings as a gateway or supervisor for analytics
LegacyNew
IP
Enabling the Future Fog
AnkaDOS runs in
ever smaller EAC
devices, eventually
sensors.
EACs are peers in
the Fog cluster.
The Fog allows
analytics to run at the
edge.
Private/Public
Cloud
Browser Based
User Interface
Data Store,
Analytics &
Informatics
Future with
AnkaDOS
AHU
VAV RTU
Cloud to Fog
Communicatio
n
Lightin
g
Fog Fog
Securit
y
Apps
EA
C
VAV
Fog to
Fog
Comms
EAC
Sensor
s
Ensuring AnkaDOS continues to provide value in the future of IIoT
Reducing Labor & Engineering Costs
1. Setup DDC serial networks
2. Setup & program DDC logic
3. Setup gateway networking
4. Setup gateway mapping/trending
5. Configure gateway/supervisory
devices
6. Install & maintain PC
visualization/UI
7. Tag data on gateway or supervisor
8. Design & bind graphics to points
9. Set up analytics on premise &
cloud
10. Install optimization & informatics
Before AnkaDOS
1. Connect EAC to Internet
2. Discover - EAC auto configures
logic, tags, trending, analytics &
visuals
3. Adjust & customize (optional)
All done using the Internet browser
With AnkaDOS
Typical work steps involved in the installation of a building automation
system
The Value
of Data Q&A
Discussion
Major
Trends
Trends impacting BAS
● IoT is All Around Us
● New Energy Paradigm
● Data is the New Gold
● Tech Architecture is Flat
● Open Source
30+ Year-old DDC architecture
Text-based point naming methodology
Proprietary controller logic engine
Minimal/no analytics or GUI at the edge
Fixed, non extensible functionalities
Inconsistent & proprietary engineering
tools
Data trapped in controllers, difficult to
analyse
IT & analytics-centric EAC architecture
Industry standard metadata point
descriptors
Open source Sedona, widely used logic
engine
Extensive analytics & GUI built-in all
controllers
App store providing infinite extensibility
Web based management, GUI & analytic
tools
Data liberated creating value in the
edge/cloud
Summary
Before AnkaDOS With AnkaDOS
Fundamentally designed to rethink BAS from the ground up
30+ year-old DDC architecture IT & analytics-centric EAC architecture
Text-based point naming methodology
Industry standard metadata point
descriptors
Proprietary controller logic engine
Open source Sedona, widely used logic
engine
Minimal/no analytics or GUI at the edge
Extensive analytics & GUI built-in all
controllers
Fixed functionalities App store providing infinite extensibility
Inconsistent, complex & proprietary Web based automated GUI & analytics
Data trapped in controllers Data liberated to create new value

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Reinventing DDC in the Age of Data Analytics

  • 1. Reinventing DDC In the age of data analytics https://www.memoori.com/audio-reinventing-ddc-age-data-analytics
  • 2. Webinar Speakers Jim Lee CEO, Cimetrics Alper Üzmezler CTO, Anka Labs Anto Budiardjo CEO, Anka Labs
  • 3. Agenda ● Comments from AHR ● A New Deal ● What is the Edge? ● DDC Reimagined ● Q&A
  • 4. Live from AHR Expo ● 70,000 Visitors ● Mostly mechanical products ● Solid educational program ● “Data is the new Gold”
  • 5. A New Deal Changing the dialog between BAS vendors & building owners ● Open Standards ● Digital Twin ● Service Transparency Transparency is a key attribute of the age of data.
  • 7. Join the discussion at www.newdeal.blog
  • 8. What is the Edge
  • 9. Let’s go back to 1980
  • 10. 1980’s IT (Data Processing)
  • 11. And Today? The Internet Cloud! Network stuff here
  • 12. And, BAS Architecture of Tomorrow… The Internet Cloud! Network stuff here Controls Analytics Applications Analytics CMMSFDD DR GUI Commissioning
  • 14. Semantic data model StackHu b Other licensed technologies Visualytik Third Party Apps Open Apps Anka Optimizer Custom Apps Anka Device Operating Systems (AnkaDOS) 1. BAS Controller 2. Analytics 3. Apps Store Third Parties Semantic data model StackHu b Other licensed technologies Visualytik On-board I/OThread Wireless Anka Labs Config tool Secured Linux OS + Open Source HardwareOpen Third Party Apps Open/Free Apps Anka Optimizer Custom Apps App Framework BACnet, Modbus, etc. An extensible architecture rooted in BAS best practices, and ready for the IIoT future Data HistorianData Engine
  • 15. System Architecture Comparison Cloud Analytics & Informatics Data Store & Visualization Gateways & Supervisory DDC - Direct Digital Controllers Before AnkaDOS AHU VAV RTU Security Lighting Wired serial networks Typical architecture of a building automation system Cloud Private/Public EAC - Edge Analytics Controllers Browser Based User Interface Data Store, Analytics & Informatics With AnkaDOS AHU VAV RTU Security Lighting IP network s Apps
  • 16. Private/Public Cloud AnkaDOS in Analytics Retrofit AnkaDOS as an analytics-enabled gateway & supervisor. Connect to existing devices & gateways using... BACnet (VAV/DDC, etc.) Wireless (sensors) Modbus (meters, etc.) Browser Based User Interface Data Store, Analytics & Informatics Retrofit with AnkaDOS Apps EA C Wired/wireles s DDC & Sensor s VA V VA V VA V AH U VA V VA V Gateway s BACnet On- Prem Analytic s Server Using AnkaDOS in existing buildings as a gateway or supervisor for analytics LegacyNew IP
  • 17. Enabling the Future Fog AnkaDOS runs in ever smaller EAC devices, eventually sensors. EACs are peers in the Fog cluster. The Fog allows analytics to run at the edge. Private/Public Cloud Browser Based User Interface Data Store, Analytics & Informatics Future with AnkaDOS AHU VAV RTU Cloud to Fog Communicatio n Lightin g Fog Fog Securit y Apps EA C VAV Fog to Fog Comms EAC Sensor s Ensuring AnkaDOS continues to provide value in the future of IIoT
  • 18. Reducing Labor & Engineering Costs 1. Setup DDC serial networks 2. Setup & program DDC logic 3. Setup gateway networking 4. Setup gateway mapping/trending 5. Configure gateway/supervisory devices 6. Install & maintain PC visualization/UI 7. Tag data on gateway or supervisor 8. Design & bind graphics to points 9. Set up analytics on premise & cloud 10. Install optimization & informatics Before AnkaDOS 1. Connect EAC to Internet 2. Discover - EAC auto configures logic, tags, trending, analytics & visuals 3. Adjust & customize (optional) All done using the Internet browser With AnkaDOS Typical work steps involved in the installation of a building automation system
  • 19. The Value of Data Q&A Discussion
  • 20. Major Trends Trends impacting BAS ● IoT is All Around Us ● New Energy Paradigm ● Data is the New Gold ● Tech Architecture is Flat ● Open Source
  • 21. 30+ Year-old DDC architecture Text-based point naming methodology Proprietary controller logic engine Minimal/no analytics or GUI at the edge Fixed, non extensible functionalities Inconsistent & proprietary engineering tools Data trapped in controllers, difficult to analyse IT & analytics-centric EAC architecture Industry standard metadata point descriptors Open source Sedona, widely used logic engine Extensive analytics & GUI built-in all controllers App store providing infinite extensibility Web based management, GUI & analytic tools Data liberated creating value in the edge/cloud Summary Before AnkaDOS With AnkaDOS Fundamentally designed to rethink BAS from the ground up 30+ year-old DDC architecture IT & analytics-centric EAC architecture Text-based point naming methodology Industry standard metadata point descriptors Proprietary controller logic engine Open source Sedona, widely used logic engine Minimal/no analytics or GUI at the edge Extensive analytics & GUI built-in all controllers Fixed functionalities App store providing infinite extensibility Inconsistent, complex & proprietary Web based automated GUI & analytics Data trapped in controllers Data liberated to create new value