Vehicle Event Tracking via Embedded Sensory Instrumentation
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Solution Overview
Problem
Traditional methods for obtaining a vehicle's history are incomplete and unreliable due to self-reporting and external source dependencies, often missing service records and accident reports, making it difficult to determine the vehicle's condition and value accurately.
Innovation Solution
Implementing sensory instrumentation on vehicle components to capture data on changes, such as orientation or removal, and storing this data in a repository along with context information, which is then analyzed to create a comprehensive and accurate vehicle history record.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If self-reporting and external source methods are used to obtain vehicle history, then the system is simple to implement, but the completeness and reliability of vehicle history data is poor
Solution Approach 1:
The vehicle itself serves as the data source through embedded sensory instrumentation that automatically records events such as accidents, maintenance, and component replacements. This self-reporting mechanism eliminates reliance on external sources and manual self-reporting, significantly improving data reliability while the automated nature reduces long-term operational complexity
Solution Approach 2:
Sensory instrumentation is installed in advance within the vehicle to continuously monitor and record events before they occur. This preliminary preparation ensures that data is captured at the moment of events rather than relying on post-event reporting, improving both completeness and reliability of the vehicle history record
2Measurement precision
If sensory instrumentation is installed on vehicle components to capture event data, then the completeness and accuracy of vehicle history is improved, but the device complexity and cost increase
Solution Approach 1:
The vehicle is divided into multiple monitored components, each equipped with specific sensory instrumentation tailored to detect particular event types. This segmentation allows for precise monitoring of critical components while avoiding unnecessary instrumentation elsewhere, improving measurement precision without proportionally increasing overall system complexity
Solution Approach 2:
A centralized processing device performs multiple functions: receiving data from various sensory instruments, storing event information, analyzing vehicle condition, and generating history reports. This multi-functional approach consolidates complexity into a single system that handles diverse monitoring tasks, reducing the need for separate specialized systems for each function
Data Source
AI summary
Embodiments for tracking vehicle events by capturing data from a vehicle component by a processor. Sensory instrumentation associated with the vehicle component is initialized to provide data to a repository when one of the vehicle events occurs. The data in the repository is analyzed to extrapolate the vehicle event to determine a condition of the vehicle.