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 systems like 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.
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 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.
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.
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 system provides 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.