System and method for remotely analyzing machine performance
First Claim
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1. A method for managing electric mining shovel information comprising a plurality of activities, the activities comprising:
- receiving a plurality of values for a plurality of electric mining shovel system variables associated with one or more electric mining shovel system components, the plurality of electric mining shovel system variables comprising at least one operational variable related to digging earthen material, the at least one operational variable comprising non-binary values;
determining a mathematical correlation between at least two variables of the plurality of electric mining shovel system variables;
via a predetermined hardware processor, analyzing the determined correlation between the at least two variables using a pattern recognition algorithm to determine a performance of the one or more electric mining shovel system components; and
rendering a visually-renderable graphical analysis report that indicates the determined performance of the one or more electric mining shovel system components.
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Abstract
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.
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Citations
21 Claims
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1. A method for managing electric mining shovel information comprising a plurality of activities, the activities comprising:
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receiving a plurality of values for a plurality of electric mining shovel system variables associated with one or more electric mining shovel system components, the plurality of electric mining shovel system variables comprising at least one operational variable related to digging earthen material, the at least one operational variable comprising non-binary values; determining a mathematical correlation between at least two variables of the plurality of electric mining shovel system variables; via a predetermined hardware processor, analyzing the determined correlation between the at least two variables using a pattern recognition algorithm to determine a performance of the one or more electric mining shovel system components; and rendering a visually-renderable graphical analysis report that indicates the determined performance of the one or more electric mining shovel system components. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19)
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20. A machine-readable medium comprising stored computer executable instructions for:
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receiving a plurality of values for a plurality of electric mining shovel system variables associated with one or more electric mining shovel system components, the plurality of electric mining shovel system variables comprising at least one operational variable related to digging earthen material, the at least one operational variable comprising non-binary values; determining a mathematical correlation between at least two variables of the plurality of electric mining shovel system variables; analyzing the determined correlation between the at least two variables using a pattern recognition algorithm, to determine a performance of the one or more electric mining shovel-system components; and rendering a visually-renderable graphical analysis report that indicates the determined performance of the one or more electric mining shovel system components.
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21. A system for remotely analyzing an electric mining shovel, the system comprising:
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a hardware input processor adapted to receive, at a transmission rate selected by a wirelessly receiving user, a plurality of values for a plurality of electric mining shovel system variables associated with one or more electric mining shovel system components, the plurality of electric mining shovel system variables comprising at least one operational variable related to digging earthen material, the at least one operational variable comprising non-binary values; a hardware analytic processor adapted to determine a mathematical correlation between at least two variables of the plurality of electric mining shovel system variables, and to analyze the determined correlation between the at least two variables using a pattern recognition algorithm to determine a performance of the one or more electric mining shovel system components; and a hardware report processor adapted to render a visually-renderable graphical analysis report that indicates the determined performance of the one or more electric mining shovel system components.
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Specification