Cloud Vehicle Expense Data Service via OBD-II Intermediary
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Solution Overview
Problem
Modern vehicles generate electronic data such as water temperature, engine torque, and maintenance flags, but this information is not readily accessible to non-specialized users without dedicated data-readers.
Innovation Solution
The Tripdots system provides an integrated interface for vehicle users to monitor vehicle status, track costs, and connect with other users, utilizing an app that communicates with onboard diagnostics (OBD) via protocols like OBD-II, allowing real-time data access and automatic reporting of trip expenses and maintenance needs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If specialized data-readers and trained personnel are used to access vehicle electronic data, then measurement precision and reliability are improved, but device complexity and ease of operation deteriorate
Solution Approach 1:
The patent introduces an intermediary processing layer that translates raw vehicle electronic data into user-friendly information. The system includes a processor that receives data from vehicle sensors and generates derived parameters (fuel economy, maintenance flags, torque values) that are then presented through an accessible interface, mediating between the complex data source and the end user
Solution Approach 2:
The system enables vehicle owners to access and interpret their own vehicle data without requiring specialized training or equipment. By providing automated data processing, clear presentations of derived parameters, and user-friendly interfaces, the system allows users to self-monitor their vehicle's performance and maintenance needs
2Loss of information
If comprehensive vehicle data is collected and processed, then information completeness is improved, but loss of time and processing complexity increase
Solution Approach 1:
The system performs preliminary data processing and generates derived parameters in advance, so that when users need information, it is already prepared. The processor continuously calculates fuel economy, maintenance flags, and other derived parameters from raw sensor data, making the information readily available without requiring real-time computation when queried
Solution Approach 2:
The system transforms raw vehicle parameters into derived parameters that are more meaningful to users. By changing the parameter representation (e.g., converting sensor readings into fuel economy metrics, torque values, and maintenance indicators), the system provides comprehensive information in a more efficient and user-relevant format
Data Source
AI summary
This disclosure generally relates to systems and methods to receiving onboard diagnostic data associated with an operational state of a vehicle of a user and pushing a message to the user, the message including information associated with the onboard diagnostic data.


