Built-in-test Quick View Tool for Automated Vehicle Diagnostics
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Solution Overview
Problem
Current diagnostic systems face challenges in efficiently and rapidly detecting and isolating inconsistencies in vehicle subsystem components due to the manual analysis of large volumes of data, which is time-consuming and prone to human error, and require manual connection of external test equipment for data gathering.
Innovation Solution
An apparatus comprising data storage units, a data extraction tool, a data warehouse, and a data processing system that automates the extraction, processing, and presentation of built-in-test data, enabling rapid diagnostic evaluation and troubleshooting through a user-friendly interface.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual analysis of hexadecimal data files is performed, then diagnostic evaluation can be conducted, but the analysis process becomes time-consuming and difficult
Solution Approach 1:
The patent replaces manual mechanical analysis processes with automated computer-based systems. The data extraction tool automatically extracts BIT data from hexadecimal files, and the data processing system automatically processes and presents the data, eliminating the need for manual interpretation while maintaining diagnostic accuracy.
Solution Approach 2:
The system performs self-service by automatically extracting, processing, and presenting diagnostic data without requiring manual intervention. The data extraction tool and processing system work autonomously to transform raw hexadecimal data into meaningful diagnostic information, reducing human effort and time investment.
2Adaptability or versatility
If multiple data files from multiple systems are analyzed, then comprehensive diagnostic coverage is achieved, but the complexity of data management increases
Solution Approach 1:
The data extraction tool and processing system are designed with universal functionality to handle data from multiple systems and data files simultaneously. The system can process BIT data from various sources through a unified interface, managing multiple files without increasing operational complexity for the user.
Solution Approach 2:
The patent introduces an intermediary data processing system that acts as a mediator between multiple data files and the user. This intermediary automatically manages the complexity of handling multiple files, extracting relevant BIT data, and presenting it in a unified format, thereby simplifying data management while expanding diagnostic coverage.
3Reliability
If external test equipment is connected for data gathering, then diagnostic data can be collected, but the process requires manual connection and setup
Solution Approach 1:
The system utilizes built-in-test (BIT) capabilities that are self-contained within the vehicle systems, eliminating the need for external test equipment connections. The BIT data is automatically collected and stored in data files, allowing the system to serve itself for diagnostic purposes without manual setup or external intervention.
Solution Approach 2:
The patent extracts diagnostic functionality from external test equipment and integrates it directly into the vehicle systems through built-in-test capabilities. By taking out the data collection function and embedding it within the system, the need for manual connection of external equipment is eliminated while maintaining reliable data collection.
Data Source
AI summary
The different advantageous embodiments provide an apparatus that comprises a number of data storage units, a data extraction tool, a data warehouse, and a data processing system. The data extraction tool is configured to extract data from the number of data storage units. The data warehouse has a number of data files comprising the data extracted from the number of data storage units. The data processing system is configured to process selected data for a number of selected systems from the number of data files.