SlideShare a Scribd company logo
From
Innovative Control For
Outdoor Lighting
To
Smart City
Already available at any place, why would not the
street lighting network become the driving force
behind the development of smart city network?
 From Smart Lighting
 Lighting requirements
 Dynamic lighting network
 Distributed intelligence
 To Smart City Solutions
 Today available
 What next?
 Utopia or dreams?
 Smart City challenges
 Example of realization
Outline
SmartNodes © Oct 2015 3
From
Smart
Lighting…
 The design of street lighting is based on lighting classes:
 SmartNodes software module configuration to cope with
any above elements:
 One normal lighting class
 Different adapted lighting classes
Lighting classes requirements
Geometry
Environment
User
≠
Lighting
classes
Traffic flow
Traffic speed
User Type
…
Climate
Ambient light
level
Visual field
Separation
Crossing type
and density
…
SmartNodes © Oct 2015 5
“Light where and when
needed, at the right level ”
 A bubble of light is generated by communicating agents, in
a decentralized fashion.
SmartNodes © Oct 2015
Lower Energy
Costs
Up to 80% of energy
savings and 30% of
maintenance costs
reduction
Earth
Friendly
Improved ecological
footprint and decreased
light pollution
6
 SmartNodes is a new real time intelligent
management model for street lighting
SmartNodes Concept
SmartNodes © Oct 2015
SmartNodes
Intelligent
Dimming
7
Distributed intelligence
Concept
 Sensors on the field
 Interpretation and
communication between
neighboring luminaries
 Local decision
Advantages
 No weak points in the
network
 Everything is local:
 Eventual system faults
 Network modifications and
adaptations
 Specificities : parameters,
traffic,...
 Installation ease
 Network growth
8SmartNodes © Oct 2015
“When Smart Connected
Lighting Network can
feed a platform with
services for users”
Access point
(“APS”)
Smart
City
SmartNodes © Oct 2015
Remote
Monitoring &
Control
Full remote access and
advanced statistics
9
Central Management
Software (“CMS”)
…To
Smart City
Solutions
Advanced lighting monitoring &
asset management
SmartNodes © Oct 2015 11
… and advanced lighting control
To change strategy on individual or global basis , reconfigure the
lighting network, to upgrade firmware, etc…
Information
Basic status
Uptime
Strategy
Lighting parameters
Lighting network
LED status
Driver status
Control module status
Power
2
1
SmartNodes © Oct 2015 12
Traffic optimization & monitoring
Cafeteria 2
Cafeteria 1
“When Smart+ Connected Lighting
Network can leverage investment
across other city systems”
 Additional sensors: weather, air pollution, noise level, etc.
 Monitoring and control
 Variable message road signs
 Electric car charging stations
 Automatic watering system
 Waste management
 Etc.
Street lighting network to become the backbone of Smart City
Smart
City
SmartNodes © Oct 2015 13
 Ghost driver detection
 Get blinking the luminaires for danger signaling
 Call police
Example of incident detection
SmartNodes © Oct 2015 14
SmartNodes © Oct 2015 15
Example of environmental
monitoring & analysis
 Over pollution detected
 Stop all traffic to prevent people from being affected
 Close all light to dissuade pedestrian to come nearby
 Call the competent authorities
SmartNodes © Oct 2015 16
Example of waste management
 Fine waste management
 Detect full bins
 Predict bin usage
 Send collecting truck only when and where needed
Utopia or
dreams?
 Site Description
 Contracting authority : Régie de Wavre
 Residential area of about 400 houses
 282 standalone modules since Apr’15
 Video on
www.smartnodes.be/installations
Wavre (South of Brussels)
Smart
City
SmartNodes © Sep 2015 19
20
SmartCities through
SmartStreets Lighting
Savings up to
80% of
electricity &
30% of
maintenance
Telemonitoring
and telecontrol
Traffic
management &
statistics
Full EN
norms
compliance
with increased
comfort
Improved
ecological
footprint
www.smartnodes.be
info@smartnodes.be

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Réveil en Form' - SmartNodes - SC - Jean BEKA

  • 1. From Innovative Control For Outdoor Lighting To Smart City Already available at any place, why would not the street lighting network become the driving force behind the development of smart city network?
  • 2.  From Smart Lighting  Lighting requirements  Dynamic lighting network  Distributed intelligence  To Smart City Solutions  Today available  What next?  Utopia or dreams?  Smart City challenges  Example of realization Outline SmartNodes © Oct 2015 3
  • 4.  The design of street lighting is based on lighting classes:  SmartNodes software module configuration to cope with any above elements:  One normal lighting class  Different adapted lighting classes Lighting classes requirements Geometry Environment User ≠ Lighting classes Traffic flow Traffic speed User Type … Climate Ambient light level Visual field Separation Crossing type and density … SmartNodes © Oct 2015 5
  • 5. “Light where and when needed, at the right level ”  A bubble of light is generated by communicating agents, in a decentralized fashion. SmartNodes © Oct 2015 Lower Energy Costs Up to 80% of energy savings and 30% of maintenance costs reduction Earth Friendly Improved ecological footprint and decreased light pollution 6
  • 6.  SmartNodes is a new real time intelligent management model for street lighting SmartNodes Concept SmartNodes © Oct 2015 SmartNodes Intelligent Dimming 7
  • 7. Distributed intelligence Concept  Sensors on the field  Interpretation and communication between neighboring luminaries  Local decision Advantages  No weak points in the network  Everything is local:  Eventual system faults  Network modifications and adaptations  Specificities : parameters, traffic,...  Installation ease  Network growth 8SmartNodes © Oct 2015
  • 8. “When Smart Connected Lighting Network can feed a platform with services for users” Access point (“APS”) Smart City SmartNodes © Oct 2015 Remote Monitoring & Control Full remote access and advanced statistics 9 Central Management Software (“CMS”)
  • 10. Advanced lighting monitoring & asset management SmartNodes © Oct 2015 11 … and advanced lighting control To change strategy on individual or global basis , reconfigure the lighting network, to upgrade firmware, etc… Information Basic status Uptime Strategy Lighting parameters Lighting network LED status Driver status Control module status Power 2 1
  • 11. SmartNodes © Oct 2015 12 Traffic optimization & monitoring Cafeteria 2 Cafeteria 1
  • 12. “When Smart+ Connected Lighting Network can leverage investment across other city systems”  Additional sensors: weather, air pollution, noise level, etc.  Monitoring and control  Variable message road signs  Electric car charging stations  Automatic watering system  Waste management  Etc. Street lighting network to become the backbone of Smart City Smart City SmartNodes © Oct 2015 13
  • 13.  Ghost driver detection  Get blinking the luminaires for danger signaling  Call police Example of incident detection SmartNodes © Oct 2015 14
  • 14. SmartNodes © Oct 2015 15 Example of environmental monitoring & analysis  Over pollution detected  Stop all traffic to prevent people from being affected  Close all light to dissuade pedestrian to come nearby  Call the competent authorities
  • 15. SmartNodes © Oct 2015 16 Example of waste management  Fine waste management  Detect full bins  Predict bin usage  Send collecting truck only when and where needed
  • 17.  Site Description  Contracting authority : Régie de Wavre  Residential area of about 400 houses  282 standalone modules since Apr’15  Video on www.smartnodes.be/installations Wavre (South of Brussels) Smart City SmartNodes © Sep 2015 19
  • 18. 20 SmartCities through SmartStreets Lighting Savings up to 80% of electricity & 30% of maintenance Telemonitoring and telecontrol Traffic management & statistics Full EN norms compliance with increased comfort Improved ecological footprint