Onboard vehicle data mining, social networking, advertisement
First Claim
1. A multi-agent distributed data mining system for monitoring the performance of vehicles System has the following components:
- a. Onboard Module for Data Stream Mining;
This component monitors vehicle diagnostic data coming out of OBD/J1708/J1939 ports, GPS data, and accelerometer (also known as G-sensor data) and performs the following data stream mining tasks to generate onboard results (analytics);
i. onboard data stream mining for detecting the effects of various engine parameters on fuel consumption;
ii. onboard predictive classification of driving patterns and associative indexing of driver performance matrix;
iii. resource-constrained anomaly detection for onboard predictive vehicle health monitoring;
iv. onboard vehicle emission data analysis;
v. automated adaptive algorithm generation and management;
b. web-based presentation of the results of onboard data analysis and user-interaction, this component allows presentation of the analytics to the user using a web-based interface;
c. onboard and remote-server-based techniques for advertising products and services that are triggered by patterns identified by the vehicle data analysis;
d. pattern-driven web-based and onboard vehicle-to-vehicle social networking and collective computation.
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Abstract
An improvement of methods and systems using mobile and distributed data stream mining algorithms for mining continuously generated data from different components of a vehicle. The system is designed for both on-board and remote mining and management of the data in order to (1) detect the effect of various engine parameters on fuel consumption behavior, (2) predictive classification of driving patterns and associative indexing of driver performance matrix, (3) resource-constrained anomaly detection for onboard health monitoring, (4) vehicle-to-vehicle social networking and distributed data mining, (5) adaptive placement of advertisements based on vehicle performance profile and (6) onboard emissions analytics computation for wireless emissions monitoring and smog test.
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Citations
20 Claims
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1. A multi-agent distributed data mining system for monitoring the performance of vehicles System has the following components:
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a. Onboard Module for Data Stream Mining;
This component monitors vehicle diagnostic data coming out of OBD/J1708/J1939 ports, GPS data, and accelerometer (also known as G-sensor data) and performs the following data stream mining tasks to generate onboard results (analytics);i. onboard data stream mining for detecting the effects of various engine parameters on fuel consumption; ii. onboard predictive classification of driving patterns and associative indexing of driver performance matrix; iii. resource-constrained anomaly detection for onboard predictive vehicle health monitoring; iv. onboard vehicle emission data analysis; v. automated adaptive algorithm generation and management; b. web-based presentation of the results of onboard data analysis and user-interaction, this component allows presentation of the analytics to the user using a web-based interface; c. onboard and remote-server-based techniques for advertising products and services that are triggered by patterns identified by the vehicle data analysis; d. pattern-driven web-based and onboard vehicle-to-vehicle social networking and collective computation. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20)
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Specification