Motor Vehicle Diagnostics via Global Data Correlation
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Solution Overview
Problem
Existing motor vehicle diagnostic systems provide limited information on the condition of vehicles beyond measured properties, lacking comprehensive insights into the technical status and predictive maintenance recommendations.
Innovation Solution
A motor vehicle diagnostic system that correlates measured properties with global status information from similar vehicles and components, using a central computer-aided diagnostic unit and networked diagnostic means to simulate realistic driving cycles, providing detailed diagnostic results through an Internet platform.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If measured properties of the motor vehicle are correlated with global status information from a group of similar vehicles, then information about the vehicle condition beyond measured properties can be derived, but the system complexity increases due to the need for data collection, storage, and analysis infrastructure
Solution Approach 1:
A central computer-aided diagnostic unit serves as an intermediary between individual vehicle diagnostic means and the global database. This intermediary collects, stores, and analyzes measurement data from multiple vehicles, correlating local measurements with global status information from groups of similar vehicles to derive comprehensive diagnostic results that go beyond raw measured properties.
Solution Approach 2:
The system transitions from single-vehicle isolated diagnostics to multi-vehicle correlated diagnostics by adding the dimension of global status information. Measurement data from individual vehicles is enriched by comparing and correlating with data from groups of similar vehicles, transforming limited local measurements into comprehensive diagnostic insights that include wear patterns, failure predictions, and maintenance recommendations.
2Reliability
If a large number of measurement results from the same type for vehicles of the same type are brought together, then comprehensive diagnostic information can be obtained, but the time and resources required for data collection and processing increase
Solution Approach 1:
Measurement data from multiple vehicles is pre-collected, pre-processed, and pre-stored in the central diagnostic unit before actual diagnostic queries are made. The system maintains ready-to-use databases of measurement results from groups of similar vehicles, so when a diagnostic measurement is taken, the correlation with global status information can be performed immediately without time-consuming data collection during the actual diagnostic process.
Solution Approach 2:
The system continuously collects and updates measurement data from multiple vehicles in the background, maintaining an ever-updating global status database. This continuous data accumulation ensures that when diagnostic correlations are performed, the most current and comprehensive data is available, improving reliability without requiring intensive batch processing that would cause time losses.
3Measurement precision
If vehicle diagnostic means simulate realistic driving cycles with load influence, then more accurate vehicle status assessment is achieved, but the complexity of test setup and execution increases
Solution Approach 1:
The vehicle diagnostic means are designed with multi-functionality to perform both simple stationary measurements and complex simulated driving cycle tests. The same diagnostic equipment can operate in different modes: basic property measurement mode and realistic driving cycle simulation mode with auxiliary units. This universality allows accurate measurement without requiring separate dedicated test setups for each measurement type.
Solution Approach 2:
Multiple diagnostic functions are merged into a single integrated vehicle diagnostic means. The measurement device combines basic property sensing with auxiliary units that can simulate load influences and driving conditions. By merging these functions, the system achieves precise vehicle status assessment under realistic conditions without the complexity of separate independent test systems.
Data Source
Figure 1
AI summary
The vehicle diagnostic system has a central computerized diagnostics unit, multiple diagnosis units with diagnosis network vehicle diagnostic tools for measuring properties of motor vehicle, and an output interface for output of a vehicle-diagnostic result. A correlation unit is connected to diagnostic unit for correlating measured characteristics of the vehicle.