) is a powerful integrated mobile platform
designed to facilitate a variety of vehicle and distribution management
functions.
MHub has been designed to help organisations reduce fleet maintenance and
operational costs by proactively monitoring vehicles and increasing fleet
utilisation and productivity.
The modular software structure enables customisation of the system's functionality
through selection of specific services that suit each user’s requirements.
Additional functions can therefore be added as requirements change, thereby
protecting each user’s investment.
Using its onboard Global Positioning System (GPS), the MHub can pinpoint
each vehicle’s real time location as well as provide historical
trip data. This information can be used to improve real time resource
allocation, analyse productivity and alert to security related events
such as vehicle theft or misuse.
Active monitoring of parameters such as speeding, harsh braking or
over-revving assists fleet operators in evaluating driver performance
and the impact of driver abuse on maintenance and operational costs.
Using the MHub’s powerful interface to a vehicle’s “in-vehicle
network”, a wide range of engineering data can be monitored and
reported. This can include information such as engine malfunction,
fuel consumption, overheating, brake usage and air filter status. This
information can be used for a number of purposes such as preventative
maintenance, operational analysis, and the setting of vehicle terrain
parameters.
Up to 2000 no-go zones can be configured and downloaded into the MHub
unit via various means of communication available such as GSM, GPRS,
etc. Any entry to and exit from these no-go zones will generate a high
priority alert to the fleet operator to take appropriate action.
The MHub distribution manager is a powerful management tool for downloading
optimised daily distribution schedules to the MHub unit, and thereafter
the monitoring by the MHub of actual vehicle movements versus planned
movements. Utilising this module, the operations centre receiving the
data can adopt a real time proactive approach to any deviations from
a plan, thus optimising future schedules based on an analysis of historical
schedules.