Downtime is one of the most critical threats to fleets today. It can have a major impact on operational costs and can have a negative effect on fleet companies’ return on investment. We use downtime as one of the many examples to explain predictive maintenance.
Predictive maintenance can also have a positive effect on the number of road incidents. Because defects can be detected earlier, the number of vehicles on the road with potential risks will decrease.
Three key areas of predictive maintenance
We can divide maintenance into three key areas where Squarell’s vehicle data can predict necessary maintenance:
- Planned maintenance ⇒ take early action
- Predictive maintenance ⇒ continuous monitoring
- Reactive maintenance ⇒ utilize dashboard lights
- Service interval
- Total vehicle distance
- Total engine hours
- Total engine revolutions
- Brake lining remaining
- Tyre pressure/temperature
- Battery potential
- Engine coolant temperature
- Engine oil temperature
- Transmission oil temperature
- Engine MIL indicator
- Worn brake lining
- Brake failure
- ABS failure
- AdBlue level low
The Squarell Vehicle Data Interface then processes and translates the data obtained and sends it via a modem to the server of the Telematics Service Provider (TSP). The TSP now receives a fault message, for example, and can decide to carry out maintenance on the vehicle.
Squarell’s solutions are brand-independent, ideal for comparing data from fleets with various vehicle brands. Access to the vehicle’s fleet management system is not required to be used for predictive maintenance. Squarell’s hardware is able to read vehicle data from any vehicle on the market without causing warranty and liability issues. Check support.squarell.com for the supported vehicles.
Get predictive maintenance solutions
Contact us at for more information on predictive maintenance solutions.