Our intelligent system monitors your chargers 24/7, ensuring that they are always in the best possible condition. If a charger is predicted to fail or go offline by our custom machine learning models, our system will alert you so you can take action before it affects your network.
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Whether currently faulted, predicted to go offline or showing poor performance, our Reset Management window intelligently identifies chargers that data suggests can be resolved with a soft or hard reset, allowing you to prevent downtime and improve charge success rates.
Keep track of chargers post-reset, ensuring they successfully connect to the network and charge vehicles before being removed from the overview. This helps prevent fault-reset loops, where chargers are reset, assumed to be working, only to fault again, repeating the cycle indefinitely. Chargers that repeatedly fail after reset are automatically added to the Dispatch Technician or Investigate view, ensuring quick and effective resolution.
The dispatch technician view shows chargers that have gone offline, faulted in multiple sessions or have gone directly from reset to faulted state. This view allows you to quickly and easily dispatch a technician to the charger, and features an aggregated location view, showing if multiple chargers need a technician in a specific area, allowing you to plan your resources efficiently.
With this view, you gain a detailed overview of chargers that are predicted to fail or have shown decreased performance over the past period, allowing you to take action before they affect your network uptime and charge success rates.
Charge Point Models
Monitoring Active Chargers
OCPP Data Logs Analyzed
Various analysis and log deep-dives are available, allowing you to gain a detailed overview of your chargers and their performance.
Our Charger Health Index shows the health of your chargers over time, allowing you to see how they are performing and identify any trends or issues.
