System and method for remotely obtaining and managing machine data
View Patent ↗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.
1. 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.
2. 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.
3. The method of claim 2 , further comprising:
validating a communicative coupling related to said receiving activity, said validating activity comprising receiving a test transmission from said electric mining shovel, said validating activity comprising correcting at least one error associated with said receiving representative data activity.
4. The method of claim 2 , further comprising:
rendering a user interface adapted to provide a user with status information relating to said receiving activity.
5. The method of claim 2 , further comprising:
rendering a user interface adapted to provide a user with current status of the electric mining shovel, said status associated with said representative data.
6. The method of claim 2 , further comprising:
wirelessly receiving an initialization file at the remote server, the initialization file comprising identification information related to the electric mining shovel, the identification information comprising a moniker associated with the electric mining shovel and an address of the electric mining shovel, the initialization file wirelessly transmitted from the electric mining shovel to a receiver connectable to the remote server.
7. The method of claim 2 , further comprising:
receiving data related to actions of a mine dispatcher, said received data comprising information regarding personnel scheduling.
8. The method of claim 2 , further comprising:
storing data related to actions of a mine dispatcher.
9. The method of claim 2 , further comprising:
obtaining equipment scheduling information from a mine dispatch system.
10. The method of claim 2 , further comprising:
transmitting information associated with said representative data to a mine dispatch system.
11. The method of claim 2 , further comprising:
automatically comparing information associated with a portion of said representative data to at least one predetermined standard.
12. The method of claim 2 , further comprising:
automatically detecting a failed component of the electric mining shovel responsive to said representative data.
13. The method of claim 2 , further comprising:
automatically alerting a user to a failed component of the electric mining shovel responsive to information associated with a portion of said representative data.
14. The method of claim 2 , further comprising:
automatically notifying a user to schedule a maintenance activity responsive to said representative data.
15. The method of claim 2 , wherein said representative data comprises data related to an electrical variable.
16. The method of claim 2 , wherein said representative data comprises data related to a mechanical variable.
17. The method of claim 2 , wherein said representative data comprises data related to a shovel motion control variable.
18. The method of claim 2 , wherein said representative data comprises production data related to the electric mining shovel.
19. 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.
20. 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.