Dominique Genoud and Yann Bocchi present solutions currently being explored by the Swiss and European research projects IoT6, Hobnet and UDG. All of these initiatives aim to exploit the potential of the new Internet Protocol, IPv6, which will allow and manage the multitudes of unique IP addresses needed as more and more “things” come online.

1. San Francisco – 9.8.2012
Dominique Genoud- Yann Bocchi - HESSO//Valais Switzerland
University of Applied Sciences

2. HES-SO in brief
 More than 15,500 students, the largest UAS in
Switzerland
 27 schools in 7 cantons
 About 10,000 employees (the equivalent of more
than 3,000 full-time positions)
 Education in 6 fields
 41 Bachelor’s degree programmes
 16 Master’s degree programmes
 170 recognized continuing education courses

3. Institute of Business
Information Systems
Institute of Business
Information Systems
http://iig.hevs.ch

4. Switzerland : Home building / Building date
0.60
0.50
0.40
0.30
0.20
0.10
0.00
avant 1960 1961 - 1995 1996 - 2000
EM 21 : Vers l'indépendance des flux d'énergie
10
(from Michel Bonvin Hesso)

5. Building Automation Systems : 3 tiers

6. Now : Building automation layers & protocoles
Management
Tier
Automation
Modbus
Tier
Field SBT P1 JCI N2
Tier
silos

7. Smart Buildings : multiple protocoles
1. 3.
2.
4.
5.

8. UDG Architecture(2007)
MPC UDG Server
IPv6
(OSGI)
MPC Middleware
IPv6
Events Actions
Kernel
GUI
Archimède Solutions
Mandat International
Smart Home
Hes-so

9. • Now we can run numerous scenarios &
services
– inside & outside of the building
– locally or remotely
• => Internet of Buildings

10. UDG + IoT6 integration
IoT6 GUI admin
UDG Server
(OSGI) GUI room
IoT6 IoT6
Middleware
IoT6
Kernel GUI mobile
SOA

11. Information system input:
smartly connected buildings
SOA
UDG Server
(OSGI)
IPv6
Middleware
IPv6
Kernel

12. Smart grids and the IoT:
micro-grid approach
Data analysis
IoT6
SOA
UDG Server
(OSGI)
Middleware
Kernel
Smart-buildings
Information system interconnection
IoT6
Local energy consumption
SOA
UDG Server
(OSGI)
Local energy production
Middleware
Kernel
Local storage

13. The necessity of
Load balancing
of the
microgrids

14. Using data to tune the microgrid
Modeling
Prédiction DB
solar parameters
Elec Consumption parameters
(high speed)
All Energy parameters
(low speed)
Storage parameters

15. Consumption prediction using data
Low frequency parameters (load curves)
High frequency parameters(device mesures)
Energy predictions (meteo, long term climate stats
Load curves
Next ¼ hour instructions
Next ¼ rate