Automated functional understanding and optimization of human/machine systems
AssigneeMetric Masters Ltd.
InventorsJoseph DALTON, Will BAUER, Lindsay HAAG
Life of this patent
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Abstract
A method of analysing and tracking machine systems has the steps of sensing operational data from equipment, the operational data comprising at least location, time, and one or more operational condition data related to the equipment; analysing the operational data to identify data patterns; logging the data patterns as events in a database; comparing the events to a database of predetermined patterns to classify each data pattern as a known event or an unknown event; updating the database to include a new data pattern related to any unknown events; and alerting a user to further classify the unknown events manually.
Claims30
A method of analysing and tracking machine systems, comprising the steps of:
- sensing operational data from equipment, the operational data comprising at least location, time, and one or more operational condition data related to the equipment;
- analysing the operational data to identify data patterns;
- logging the data patterns in a database;
- identifying one or more gestures by comparing the data patterns to a set of gesture definitions;
- identifying one or more behaviours in a set of behaviour definitions, each behaviour definition comprising a gesture and one or more of:
- one or more additional gesture, one or more operational datum, or combination thereof.
A system for analysing and tracking machine systems, comprising:
- sensors mounted to equipment in the machine system, the sensors sensing operational data from the equipment comprising at least location, time, and one or more operational condition data related to the equipment;
- a processor in communication with the sensors, the processor being programmed to:
- identify data structures using sets of data structure definitions, the data structures being ordered hierarchically in one of a first order and more than one higher order, wherein the first order data structures comprise data patterns identified from the operational data, and higher order data structures comprise an immediately lower order data structure in combination with one or more lower order data structures.
A method of analysing and tracking machine systems, comprising the steps of:
- sensing operational data from equipment, the operational data comprising at least location, time, and one or more operational condition data related to the equipment;
- identifying data structures using sets of data structure definitions, the data structures being ordered hierarchically, wherein the first order data structures comprise data patterns identified from the operational data, and higher order data structures comprises a combination of two or more lower order data structures, wherein at least one lower order data structure comprises an immediately lower order data structure.
Dependencies are inferred from the claim text.