Technological solutions are sought – of the digital platform type – that allow the management of the behavior of vehicle drivers (vans, trucks, buses, sprinters, among others) by integrating the available data from different sources of information present in the equipment, which allow the determination of driving behavior from at least the following information: positioning, speed, accelerometer information, driver identification, on-board computer reading, drowsiness and fatigue devices, etc.; with a focus on contributing to the aspects of safety, health and productivity in the industrial area or outside it.
Other desirable, but not excluding requirements are:
Operations and processes involved
Transversal challenge to all BHP sites, in charge of the Vice-presidency of Projects.
There is a significant flow of vehicles to and within BHP operations, formed by vehicles and equipment of different types and brands, some of which have sensors or instrumentation to measure certain parameters such as: speed, location, vital signs of the vehicle, and biometric sensors to analyze driver fatigue and drowsiness. Currently, there is a platform that allows the partial capture of some of these sources of information, which does not provide a global view of all variables related to driving behavior that allows taking preventive and corrective actions in a timely manner, with the aim of minimizing traffic accidents.
It is difficult to apply preventive and corrective measures to reduce the probability of accidents, since there is only partial information that hinders the characterization of driving behavior.
Every time vehicles and mobile equipment circulate to and within the mining company.
Multiplatform capable of integrating, processing and analyzing GPS information from different fleets, generating alerts of deviations, management of these gaps and visualization (dashboard) of the information.
A piloting with a platform that captures and processes additional information to the GPS, with limitations in the interoperability of information from multibrand sensors, was carried out.