Telematics-enabled aggregated vehicle diagnosis and prognosis
View Patent ↗A system and method for telemetrically collecting on-road vehicle diagnostic data. In one embodiment, the method includes collecting vehicle diagnostic data from service shops, on-road vehicles and warranty records, aggregating the collected data and extracting knowledge therefrom. The extracted knowledge can be used to enhance algorithms on-board vehicles or at service centers so as to better identify vehicle faults and provide enhanced diagnostics and prognostics. The enhanced algorithms can then be used to provide predictive maintenance suggestions, provide trouble shooting assistance or provide vehicle design improvements.
1. A method for collecting and analyzing vehicle data, said method comprising:
collecting data from service shops;
collecting data from on-road vehicles using wireless communications, where the vehicles use a microprocessor for monitoring and transmitting the data;
collecting warranty record data;
automatically aggregating the collected data and using knowledge extraction to extract information from the aggregated data;
providing on-board and off-board diagnosis and prognosis algorithm enhancement using the extracted information, where providing the algorithm enhancement includes using case based reasoning, Bayesian networks, rule data bases or a reasoning engine; and upgrading each vehicle's algorithms using problem information collected from the other on-road vehicles, and
using the enhanced algorithms to provide various vehicle services.
2. The method according to claim 1 wherein using the enhanced algorithms includes providing predictive maintenance suggestions to a vehicle owner.
3. The method according to claim 1 wherein using the enhanced algorithms includes providing troubleshooting assistance to technicians.
4. The method according to claim 1 wherein using the enhanced algorithms includes providing design improvement suggestions.
5. The method according to claim 1 wherein collecting data from the service shops includes collecting vehicle identification numbers, parametric or abstract vehicle data, root cause data, problem resolution data and maintenance data.
6. The method according to claim 1 wherein collecting data from on-road vehicles includes collecting vehicle identification numbers, parametric or abstract vehicle data and time stamp data.
7. The method according to claim 1 wherein collecting warranty data includes collecting vehicle identification numbers, parametric or abstract vehicle data, root cause data and labor codes.
8. The method according to claim 1 wherein the automatic data aggregation and knowledge extraction includes using an algorithm selected from the group consisting of association rule learning and support vector machine learning.
9. The method according to claim 1 wherein collecting data from on-road vehicles includes collecting data continuously from on-road vehicles or collecting data only when a potential problem is identified on the vehicle.
10. A method for collecting and analyzing vehicle data, said method comprising:
collecting data from service shops, including vehicle identification numbers, parametric or abstract vehicle data, root cause data, problem resolution data and maintenance data;
collecting data from on-road vehicles using wireless communications, where the vehicles use a microprocessor for monitoring and transmitting the data;
collecting warranty record data;
aggregating the collected data and using knowledge extraction to extract information from the aggregated data; and
providing on-board and off-board vehicle diagnosis and prognosis and failure prediction using the extracted information, wherein the on-board diagnosis and prognosis and failure prediction of each vehicle is upgraded using problem information collected from the other on-road vehicles.
11. The method according to claim 10 further comprising using the extracted information for providing predictive maintenance suggestions to a vehicle owner.
12. The method according to claim 10 further comprising using the extracted information for providing troubleshooting assistance to technicians.
13. The method according to claim 10 further comprising using the extracted information for providing design improvement suggestions.
14. The method according to claim 10 wherein the data aggregation and knowledge extraction includes using an algorithm selected from the group consisting of association rule learning and support vector machine learning.