OBD II Diagnostic Tablet for Vehicle Data Integration
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current automotive diagnostic technologies are inefficient due to the cumbersome integration of vast amounts of information, limiting mechanics' ability to synthesize data and control the diagnostic process, leading to inefficiencies in vehicle maintenance and repair.
Innovation Solution
A handheld OBD II-compliant diagnostic PC tablet that allows access and display of relevant diagnostic data from local or remote databases, enabling mechanics to selectively integrate information from vehicle systems, sensors, and external resources, providing solutions to malfunctions, and facilitating centralized data review.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If vast amounts of diagnostic information are made available to mechanics, then the information completeness is improved, but the ease of operation deteriorates due to the mechanic's limited ability to synthesize and control the information
Solution Approach 1:
The diagnostic information is segmented into organized categories and groups, allowing the mechanic to access specific types of information (e.g., trouble codes, live data, service information) separately rather than being overwhelmed by a single large unorganized data set. This segmentation maintains information completeness while improving accessibility and control.
Solution Approach 2:
The diagnostic device acts as an intermediary between the vehicle's computer control system and the mechanic. It automatically retrieves, processes, and presents information in an organized manner, serving as a mediator that translates raw data into actionable diagnostic insights without requiring the mechanic to manually synthesize vast amounts of information.
2Adaptability or versatility
If multiple information sources are integrated, then the diagnostic capability is improved, but the device complexity increases
Solution Approach 1:
The diagnostic device is designed with multi-functionality to access and process information from multiple sources including vehicle computer control systems, external databases, and service information systems. By integrating these functions into a single universal device, the system achieves enhanced diagnostic capability while managing complexity through unified access methods and standardized interfaces.
3Measurement precision
If comprehensive diagnostic data is accessed from multiple sources, then the diagnostic accuracy is improved, but the loss of time increases due to cumbersome integration processes
Solution Approach 1:
The device performs preliminary actions by automatically retrieving and organizing diagnostic information from multiple sources before the mechanic needs to analyze it. Service information, trouble code definitions, and related diagnostic data are pre-fetched and structured, allowing the mechanic to immediately access comprehensive information without spending time on manual data gathering and integration.
Solution Approach 2:
The system incorporates feedback mechanisms that automatically process diagnostic trouble codes and retrieve relevant service information from databases. When a trouble code is detected, the system provides feedback by automatically searching for and displaying related service bulletins, repair procedures, and technical information, reducing the time the mechanic spends searching for additional diagnostic data.
Data Source
AI summary
An OBD II-compliant diagnostic PC tablet and method are provided. The tablet enables the simultaneous display of diagnostic data from multiple systems. Further, the tablet enables retrieval of potential solutions in response to the diagnostic data. The tablet may be used to retrieve the diagnostic data from a given vehicle system. The tablet features a display screen, an input node, and a processor. The tablet may communicate with one or more remote databases obtaining diagnostic summaries therefrom. Thus, the computer receives the diagnostic data vehicle system, derives diagnostic information therefrom, and can use external databases to derive potential diagnostic solutions therefrom.


