Computerized vehicle maintenance management system with embedded stochastic modelling
OwnerKenton Hoinventor
Life of this patent
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Abstract
A computerized maintenance management system for vehicles comprises a data warehouse, comprising a communications link for receiving data relating to vehicle maintenance, a storage component for storing received data, and a modeling component comprising modeling algorithms stored within the data warehouse. The modeling component is thus able to process the data in real-time within the data warehouse, and outputs a predictive model with recommended maintenance and/or replacement schedules that is always based on the most current available data.
Claims10
A computerized maintenance management system for vehicles, comprising:
- a data warehouse, comprising:
- a communications link for continually receiving captured component failure data, component repair data, and captured vehicle operations data;
- and
- a storage component comprising a non-transitory computer-readable medium configured to store at least a portion of the captured component failure data and embodying computer-readable program code for:
- as data is being stored, generating an updated predictive model in real time based upon newly-captured component failure data;
- and
- generating recommended maintenance and/or component replacement schedules for individual vehicles based on the updated predictive model and the newly-captured vehicle repair and operations data.
A computer-implemented method for managing maintenance for vehicles, comprising the steps of:
- using the computer, continually receiving captured component failure data, component repair data and captured vehicle operations data via a communications link,
- using the computer, storing at least a portion of the captured component failure data in a non-transitory computer-readable medium of a data warehouse,
- as data is being stored, generating an updated predictive model in real time based upon newly-captured component failure data;
- and
- generating recommended maintenance and/or component replacement schedules for individual vehicles based on the updated predictive model and the newly-captured vehicle repair and operations data.
Dependencies are inferred from the claim text.