Whether we're talking about the construction industry or
other industries, heavy equipment is needed in all various kinds of businesses.
Effective equipment monitoring enables a corporation to maximize its output.
Modern fleet management systemslike
Flotilla IoT are made specifically to monitor all facets of heavy equipment.
Through Flotilla IoT, you can monitor anything from real-time GPS tracking to
fuel usage and engine hours.
Realtime
Tracking:
Flotilla IoT has a Binders module that tracks removable
luggage carriers. A luggage carrier can be fastened to a vehicle using a
special unique ID. In relation to the vehicle it is connected to, the
location of the luggage carrier may be followed on a map. This makes it
possible to remotely monitor assets.
Fleet managers can receive updates on the whereabouts of the
equipment through live location tracking. On the map, they may see the current
location together with the address and coordinates. Geofencing, alarm sensors,
and real-time alerts are security elements available in Flotilla IoT that
provide notice before any emergency. It enables managers to foresee emergencies
and take the appropriate action.
Engine Hour
Monitoring:
With Flotilla IoT fleet management system, you can
effectively track the engine hours of any construction equipment or generator
you own. The Monitoring and Units feature displays the engine hours for each
individual asset. The top 10 vehicles with the most engine hours during the
previous 24 hours are displayed on the dashboard.
Additionally, Flotilla IoT provides two different sorts of
engine hour reports, a Detailed report and a Summary report. The engine's
starting/ending time, running time, idle time, working time, etc. are all
included in the detailed report. A pie graph displays the quantity and
proportion of work and idle time. Moreover a custom vehicle maintenance report
can be created to give an idea about the usage of the equipment. Maximum output
can be attained by maintaining a careful check and balance on the operation of
the machinery.
Fuel
Consumption:
Fuel monitoring is one of the most important components of
heavy machinery, including generators and construction equipment. You can keep
a close eye on your fuel levels with Flotilla IoT, resulting in greater
efficiency. Real-time fuel level monitoring and report generation are available
for analyzing consumption patterns. You can see the amount of fuel used in
relation to the running time in the fuel consumption report based on
engine hours.
Real-time alerts for fuel quantity, fuel filling, and
drainage are available in Flotilla IoT, keeping you fully informed about fuel
updates. You can take actions to reduce fuel expenditures in the future if you
have complete control over how much fuel your equipment
currently uses.
Maintenance
Scheduling:
Regular maintenance is necessary for heavy machinery to
maintain peak performance and avoid malfunctions. The Flotilla IoT fleet
management system can monitor equipment usage and provide reminders for
maintenance depending on date, mileage, engine hours, and other factors. Fleet
managers may limit downtime, increase equipment lifespan, and save repair costs
by proactively planning maintenance operations. Moreover option of vehicle
maintenance reports is also available for keeping tracking of all the service
and repair needs of your fleet.
Performance
Analytics:
Flotilla IoT offers thorough analytics and statistics on
equipment operation. Data on fuel usage, running times, maintenance expenses,
and productivity measures is included in these analytics. Fleet managers
can recognize trends, pinpoint inefficiencies, decide which equipment needs to be
upgraded or replaced, and optimize the operations of the entire fleet by
studying this data.
The Flotilla IoT fleet management systemprovides
complete visibility and control over heavy machinery. It makes it possible for
fleet managers to keep an eye on the whereabouts, use, and performance of their
equipment. Fleet managers may increase operational effectiveness, cut costs,
improve safety, and extend the life of their heavy equipment by utilizing the
data and insights offered by such a system.
