Street Light Control Project SWEDE Conference May 3-5, 2017 - - PowerPoint PPT Presentation

street light control project
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Street Light Control Project SWEDE Conference May 3-5, 2017 - - PowerPoint PPT Presentation

Street Light Control Project SWEDE Conference May 3-5, 2017 Overview Goal: Implement dynamic lighting in a COSA Park, and residential area. Dynamic Lighting Cassiano Park Residential Area Cooper Academy Silver Springs


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SLIDE 1

Street Light Control Project

SWEDE Conference May 3-5, 2017

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SLIDE 2

Overview

  • Goal: Implement dynamic lighting in a COSA Park, and residential area.
  • Dynamic Lighting
  • Cassiano Park
  • Residential Area – Cooper Academy
  • Silver Springs Network
  • 2 Access Points
  • Mini Mesh Network
  • Photocontrols from CIMCON Lighting
  • Occupancy Sensors Recommendation
  • Street Light Vision Software
  • Benefits and Functionality of Street Lights Controls
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SLIDE 3

Cassiano Park

  • 15 Park Lights – 9 Poles
  • 9 PIR Sensors
  • 7 – pin NEMA

Photocontrols

  • Dynamic lighting

capability

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SLIDE 4

Residential Area

  • 2 Access Points
  • Photocontrols
  • 5 – pin NEMA

Photocontrols

  • 7- pin NEMA

Photocontrols

  • Occupancy Sensors
  • PIR
  • Radar
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SLIDE 5

CIMCON Photocontrol

  • Smart Control Capability
  • GPS Coordinates
  • Dimming Receptacle
  • Energy Metering
  • Remote Control and Scheduling
  • Dimming Schedules
  • Fault Monitoring
  • Day burners
  • Over/Under Voltage
  • Abnormal Power Consumption
  • Low Power Factor
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SLIDE 6

Occupancy Sensors

  • Hubbell PIR Wasp2
  • 30ft supported mounting

height

  • 360 degree detection range
  • 42 ft detection radius
  • Houston Radar
  • Bi-directional detection
  • 45 degree view
  • Detection range
  • Pedestrian – 90 ft.
  • Small Vehicle – 300 ft.
  • Truck – 500 ft.
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SLIDE 7

Occupancy Sensor Recommendation

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SLIDE 8

Street Light Vision Software

  • Functions of SLV
  • Accurate Equipment Inventory
  • Alarms for Failures to the Park/Street Lights
  • Capability to Implement Timing Schedules
  • Real Time Control – Turn Lights On/Off
  • Energy Consumption Reports
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SLIDE 9

Street Light Vision Software

  • Modules
  • Equipment Inventory
  • Data History
  • Scheduling Manager
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SLIDE 10

Street Light Vision Software

  • Real-Time Control
  • Failure Analysis and Tracking
  • Energy Consumption
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SLIDE 11

Street Light Vision Software

  • Alarm Manager
  • Report Manager
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SLIDE 12

Conclusion

  • Goal: Evaluate the features and capabilities of smart controls

and motion sensors, and assess the practical applications within the City of San Antonio for the Street Light Control installation.

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SLIDE 13

Questions