VESDA VLI Relay only

VLI-880

Approval: G 212155

The VESDA VLI is an early warning aspirating smoke detection (ASD) system, designed to protect industrial applications and harsh environments of up to 2000 m2.
The VLI detector combines a fail-safe intelligent filter (patent pending) with an advanced clean-air barrier for optics protection allowing the use of absolute detection and a long detection chamber life without the need for re-calibration.

The intelligent filter:
• reduces the level of pollution in the air sample before it enters the detection chamber, which dramatically extends the operational life of the detector in harsh and polluted environments.
• is fully monitored, providing consistent sensitivity over the entire operational life of the detector.

  • Suitable for Class 1 Division 2 applications
    - Groups A,B,C & D
  • Up to 4 inlet pipes
  • Five high intensity status LEDs for greater visibility
  • Robust absolute smoke detection
  • Intelligent Filter (patent pending)
  • Lint Trap to capture fibrous particulates
  • Secondary filter
  • Clean air barrier for optics protection
  • AutoLearn™ Smoke and Flow
  • Clean Air Zero™
  • Air-path monitoring
  • Five relays (Fire, Fault and 3 configurable)
  • Ultrasonic flow sensing

Additional Information:
Filter included in detector

Alarm current @ 24 V DC approx. 440 mA
Operating voltage 18 ... 30 V DC
Weight kg approx. 6 kg
Air humidity 10 ... 95 % (non-condensing)
Quiescent current @ 24 V DC approx. 415 mA
Type of protection IP66
Area to be monitored max. 2000 m²
Ambient temperature -10 °C ... 38 °C
Dimensions W: 426.5 mm H: 316.5 mm D: 180 mm
Contact load relay 2 A @ 30 V DC NO/NC contacts
Alarm sensitivity 0.005%–20% obs/m
Cable termination 0.2–2.5 sq mm
Max. single pipe length 120 m
Aspirated air temperature -20 °C ... 60 °C
Specification EN 54-20, Class A, B, C
Max. total branched pipe length 360 m
  • VSP-005 VESDA Filter for VLP, VLS, VLF, VLC

Promotional - Product Data Sheets

TypeNameSize
Product Data Sheet VESDA VLI by Xtralis Version: 04.2017 198 KB