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US 7,181,370 B2Granted
System and method for remotely obtaining and managing machine data
AssigneeSiemens Energy & Automation, Inc.
InventorsKen Furem, Daniel W. Robertson, Gopal Madhavarao
Life of this patent
Estimating the term…
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.
Claims20
A method comprising:
- receiving representative data from at least one sensor associated with an electric mining shovel, said electric mining shovel comprising a bucket, said representative data transmitted responsive to a transmission rate selected by a wirelessly receiving user via a user interface, the user interface adapted to accept a user selection indicative of the transmission rate;
- wirelessly transmitting said representative data from the electric mining shovel to a receiver connectable to a remote server;
- and
- automatically reporting an impending failure of a component, said impending failure of said component automatically determined via an analysis of said representative data via a pattern recognition algorithm, said pattern recognition algorithm trained via data related to said at least one sensor regarding a prior failure.
1 more element
A method comprising a plurality of activities, said activities comprising:
- at a remote server, receiving representative data obtained from a set of sensors associated with an electric mining shovel, said electric mining shovel comprising a bucket, said representative data transmitted responsive to a transmission rate selected by a wirelessly receiving user via a user interface, the user interface adapted to accept a user selection indicative of the transmission rate;
- storing said received representative data in a memory device;
- and
- automatically reporting an impending failure of a component, said impending failure of said component automatically determined via an analysis of said representative data via a pattern recognition algorithm, said pattern recognition algorithm trained via data related to said at least one sensor regarding a prior failure.
1 more element
A machine-readable medium comprising stored instructions for:
- at a remote server, receiving representative data obtained from a set of sensors associated with an electric mining shovel, said electric mining shovel comprising a bucket, said representative data transmitted responsive to a transmission rate selected by a wirelessly receiving user via a user interface, the user interface adapted to accept a user selection indicative of the transmission rate;
- storing said received representative data in a memory device;
- and
- automatically reporting an impending failure of a component, said impending failure of said component automatically determined via an analysis of said representative data via a pattern recognition algorithm, said pattern recognition algorithm trained via data related to said at least one sensor regarding a prior failure.
1 more element
A system comprising:
- an input processor adapted to receive representative data obtained from a set of sensors associated with an electric mining shovel, said electric mining shovel comprising a bucket, said representative data transmitted responsive to a transmission rate selected by a wirelessly receiving user via a user interface, the user interface adapted to accept a user selection indicative of the transmission rate;
- and
- a storage processor adapted to store said received representative data in a memory device, said storage processor adapted to automatically report an impending failure of a component, said impending failure of said component automatically determined via an analysis of said representative data via a pattern recognition algorithm, said pattern recognition algorithm trained via data related to said at least one sensor regarding a prior failure.
Dependencies are inferred from the claim text.