Building Fleet Tracking for Industrial Sites: Events, Geofences and Data Joins

Fleet tracking looks simple from the outside: put a GPS device in a truck and draw dots on a map. In industrial environments, the interesting engineering starts after the dot appears.

Events, not just coordinates

A plant or port cares less about latitude and longitude and more about events: vehicle entered gate 2, stopped at weighbridge 1, idled 18 minutes at bay 4, exited at 14:32. Turning raw GPS pings into these events means:

• defining geofences as polygons around gates, weighbridges and bays,
• handling GPS drift (a stationary truck can "move" a few metres every minute),
• debouncing entry/exit so one wobble at a fence line does not create ten events.

Joining data from different systems

Fleet data becomes useful when it is joined with other sources:

Source	Key	What it adds
GPS tracker	device ID + time	position, speed, ignition
Fuel dispenser	vehicle ID + time	litres issued
Weighbridge	number plate + time	gross and tare weight
Gate ANPR	number plate + time	entry and exit stamps

The hard part is identity: the tracker knows a device ID, the gate camera knows a plate, the dispenser knows an RFID tag. A clean vehicle master table that maps all three is the backbone of the system.

Useful derived metrics

fuel_per_km      = litres_issued / km_driven
idle_ratio       = idle_minutes / ignition_on_minutes
site_turnaround  = exit_time - entry_time

Outliers in these three numbers explain most fleet cost problems on industrial sites.

Alerts that people act on

Too many alerts and supervisors ignore them all. Start with three: long idling inside the site, fuel-per-km above the vehicle's own average, and overdue maintenance. Tune thresholds during a pilot before scaling.

For the operational side of this, covering features, weekly KPIs and a rollout plan, read this guide to vehicle fleet management for plants and ports.