Siemens Industry, Inc.

Siemens Energy & Automation, Inc.

Daniel W Robertson

Ken Furem

Gopal Madhavarao

Julian D Jaeger

Robert Eidenberger

Joy Mazumdar

Walter Koellner

Thomas Wösch

Gopalakrishnan Madhavarao

Kenneth Furem

A method for determining an N+1-dimensional environmental model is provided. According to the method, environmental information in N dimensions is determined using a sensor. In a further step, position and/or orientation of the sensor is/are determined. Then, the N+1-dimensional environmental model is determined based on the determined environmental information in N dimensions and the determined position and/or orientation of the sensor. Further, a device and a mining apparatus are provided.

Method and device for determining an N+1-dimensional environment model and mining apparatus

A system for an excavating machine includes a control system comprising a processing system, one or more sensors, a user interface, and a vision system, wherein the control system receives input signals from the user interface, the one or more sensors, and the vision system; and a motor in communication with the control system and the motor adapted to control movement of a portion of the excavating machine. The processing system can control operation of the motor.

Operator assist features for excavating machines based on perception system feedback

A system for an excavating machine comprises a control system operating aspects of the excavation machine; and a monitoring system receiving inputs from one or more sensors determining if the excavating machine is in a first state or a second state. In operation, if the excavating machine is in the first state, then the control system enables the excavating machine to perform a first action; or if the excavating machine is in the second state, then the control system disable the excavating machine to perform the first action.

Dynamic motion optimization for excavating machines

Provided is a method and a system for preemptively determining a load weight for mining excavation equipment. Specifically, provided is a method in which an excavation surface is scanned to generate an excavation surface profile, an excavation plan is selected for the excavation surface profile, the excavation plan for the excavation surface profile is executed on the excavation surface utilizing a pre-emptive load weighing algorithm based on a plurality of drive signals of the mining excavation equipment, and a volume of a material to be excavated by the mining excavation equipment is determined based at least on the plurality of drive signals, the plurality of derivatives of drive signals, and the excavation surface profile.

Method and system for preemptive load weight for mining excavating equipment

Certain exemplary embodiments can provide a system, machine, device, manufacture, circuit, and/or user interface adapted for, and/or a method and/or machine-readable medium comprising machine-implementable instructions for, activities that can comprise, via a predetermined information device, for a predetermined excavating machine comprising a plurality of Active Front Ends, each Active Front End electrically coupled to an AC power supply network of said predetermined excavating machine, each Active Front End adapted to provide DC power to a DC bus, said DC bus electrically coupled to a plurality of inverters, each inverter adapted to supply AC power to at least one operating motor, independently controlling a reactive power produced by each Active Front End.

Systems, devices, and/or methods for managing drive power

Certain exemplary embodiments comprise a method for determining a weight of a load associated with an excavating machine, the method comprising: determining a load torque of an excavating machine, the excavating machine comprising a bucket and a hoist motor adapted to vertically move the bucket; and calculating a load weight from the load torque.

System and method for load measuring by motor torque

Certain exemplary embodiments can comprise obtaining and analyzing data from at least one discrete machine, automatically determining relationships related to the data, taking corrective action to improve machine operation and/or maintenance, automatically and heuristically predicting a failure associated with the machine and/or recommending preventative maintenance in advance of the failure, and/or automating and analyzing mining shovels, etc.

System and method for remotely analyzing machine performance

Certain exemplary embodiments can include obtaining and analyzing data from at least one discrete machine, automatically determining relationships related to the data, taking corrective action to improve machine operation and/or maintenance, automatically and heuristically predicting a failure associated with the machine and/or recommending preventative maintenance in advance of the failure, and/or automating and analyzing mining shovels, etc.

System and method for distributed reporting of machine performance

Certain exemplary embodiments can provide a system, which can comprise a bucket excavation controller. The bucket excavation controller can be adapted to control one or more digging functions of a mining excavator. For example, the bucket excavation controller can be adapted to automatically control a crowd motion of the mining excavator.

Growing community of inventors

Cumming, GA, United States of America

Daniel W Robertson