IoT use case: Service station

Ensuring uptime of the equipment in your service stations is vital to minimizing business disruptions due to unplanned maintenance.

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Envizi provides an Enterprise IoT platform to capture and analyze your HVAC+R data, providing actionable insights to lower your maintenance and energy costs.

Envizi delivers a single, organizational-wide view of your IoT data across sensor, gateway and connectivity types.  The platform is scalable and flexible to adapt and grow with your business.

Actionable insight to reduce business disruption in your service stations

Building Demographics

  • Large portfolio of small service stations
  • Open 24 hours
  • Average floor area: approx. 100-1,000m2
  • No centralized oversight or control of plant equipment


  • HVAC+R is business critical equipment, maintenance costs are high and business disruption due to unplanned maintenance needs to be managed to zero
  • Limited on-site resources to monitor and repair equipment
  • No central system to monitor compressor or plant performance


  • 3-7 IoT sensors deployed per service station to monitor HVAC+R, occupancy and motion
  • 1 gateway to receive and transmit sensor data to the cloud
  • Asset Performance Monitoring software module to visualize data and extract insights


  • HVAC start time not optimized (comfort conditions being achieved well before occupancy)
  • HVAC discharge temperature fluctuating (cycling between heating and cooling modes)
  • Comfort set-point too low or high (HVAC working harder than required)
  • Comfort out of range (HVAC not able to achieve comfort conditions)
  • Refrigerators not set to correct temperature – increasing risk of food spoilage
  • HVAC operating out-of-hours (or when not occupied)
  • Lighting operating out-of-hours (or when not occupied)
  • Facility or space occupied out-of-hours


  • Reduce disruptions to business operations due to equipment failures
  • Reduced reliance on outside contractors to investigate and diagnose issues
  • Significant savings realized in labor, energy and equipment costs

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