Abstract: Techniques for acoustic vehicle location tracking are presented. In one embodiment, a processor receives, from a radio-frequency positioning system, measurements of a candidate location for a plurality of vehicles and receives, from a plurality of acoustic sensors, acoustic signals associated with a detected vehicle. The acoustic signals are compared to an acoustic vehicle signature library that includes acoustic information associated with the vehicles. Upon determining that the acoustic signals match acoustic information associated with a vehicle in the acoustic vehicle signature library, the measurements of the candidate location of the detected vehicle based on the radio-frequency signals are compared with a location of the vehicle based on the acoustic signals. Upon determining that the measurements of the candidate location are within a predetermined area of the location of the detected vehicle, the measurements are provided to a vehicle location database.

Abstract: The optimized mine ventilation system of this invention supplements mine ventilation basic control systems composed of PLCs (Programmable Logic Controllers with human machine interfaces from vendors such as Allen-Bradley™, Modicon™ and others) or DCSs (Distributed Control System from vendors such as ABB™ and others) with supervisory control establishing a dynamic ventilation demand as a function of real-time tracking of machinery and/or personnel location and where this demand is optimally distributed in the work zones via the mine ventilation network and where the energy required to ventilate is minimized while totally satisfying the demand for each work zones. The optimized mine ventilation system operates on the basis of a predictive dynamic simulation model of the mine ventilation network along with emulated control equipment such as fans and air flow regulators.

Abstract: The optimized mine ventilation system of this invention supplements mine ventilation basic control systems composed of PLCs (Programmable Logic Controllers with human machine interfaces from vendors such as Allen-Bradley™, Modicon™ and others) or DCSs (Distributed Control System from vendors such as ABB™ and others) with supervisory control establishing a dynamic ventilation demand as a function of real-time tracking of machinery and/or personnel location and where this demand is optimally distributed in the work zones via the mine ventilation network and where the energy required to ventilate is minimized while totally satisfying the demand for each work zones. The optimized mine ventilation system operates on the basis of a predictive dynamic simulation model of the mine ventilation network along with emulated control equipment such as fans and air flow regulators.

Abstract: The optimized mine ventilation system of this invention supplements mine ventilation basic control systems composed of PLCs (Programmable Logic Controllers with human machine interfaces from vendors such as Allen-Bradley™, Modicon™ and others) or DCSs (Distributed Control System from vendors such as ABB™ and others) with supervisory control establishing a dynamic ventilation demand as a function of real-time tracking of machinery and/or personnel location and where this demand is optimally distributed in the work zones via the mine ventilation network and where the energy required to ventilate is minimized while totally satisfying the demand for each work zones. The optimized mine ventilation system operates on the basis of a predictive dynamic simulation model of the mine ventilation network along with emulated control equipment such as fans and air flow regulators.