COMPUTERIZED VEHICLE MAINTENANCE MANAGEMENT SYSTEM WITH EMBEDDED STOCHASTIC MODELLING

• US 20150105968A1
• Filed: 10/11/2013
• Published: 04/16/2015
• Est. Priority Date: 10/11/2013
• Status: Active Grant

• Current Assignee: BrightOrder IP Inc.
• Original Assignee: BrightOrder IP Inc.
• Inventors: Ho, Kenton
• Granted Patent: US 9,430,882 B2
• Time in Patent Office: Days
• US Class Current: 701/31.5
• CPC Class Codes: G06Q 10/20 Administration of product repair or maintenance
• CPC Class Codes: G07C 5/006 Indicating maintenance
• CPC Class Codes: G07C 5/008 communicating information to a remotely located station transmission systems for measured values G08C

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.

Claims

1. A computerized maintenance management system for vehicles, comprising

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 embedded in the data warehouse,

whereby the modeling component processes the data in real-time within the data warehouse and outputs a predictive model with recommended maintenance and/or replacement schedules.

2. A method for computerized maintenance management for vehicles, comprising the steps of:

receiving data relating to vehicle maintenance via a communications link,

storing the received data in a data warehouse, and

processing the received data via a modeling component comprising predictive modeling algorithms stored within the data warehouse,

whereby the modeling component processes the data in real-time within the data warehouse and outputs a predictive model with recommended maintenance and/or replacement schedules.