Chassis Alignment Data Evaluation via Automatic Record Selection
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Solution Overview
Problem
The existing methods for wheel alignment measurement are time-consuming, especially when evaluating vehicles unknown to the workshop, as they require manual selection of correct target data for comparison with measured values, leading to inefficiencies in identifying misaligned chassis and potential tire wear or traction issues.
Innovation Solution
An apparatus and method that automatically evaluate chassis alignment data by storing records with tolerance ranges, selecting subsets of data based on measured parameters, and calculating a 'score' to indicate the likelihood of alignment issues, allowing for quick evaluation without manual data selection and using weighting parameters for improved accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual selection of target data is performed for each vehicle, then the correct evaluation can be made, but the measurement process becomes time-consuming especially for unknown vehicles
Solution Approach 1:
The system performs automatic self-service by autonomously selecting the appropriate target data record based on vehicle identification (VIN or license plate) without requiring manual operator intervention. The selection device automatically queries the database using the provided identification and retrieves the matching target data, thereby eliminating the time-consuming manual selection process while maintaining evaluation accuracy.
Solution Approach 2:
The target data records are pre-stored in the database with all necessary chassis parameters and tolerance ranges organized by vehicle identification. This preliminary organization allows the system to quickly retrieve and compare measured values against the correct target data without requiring manual searching or selection during the measurement process.
2Productivity
If all vehicles are measured in quick acceptance without selection, then measurement coverage is improved, but evaluation becomes difficult without concrete reason to assume misalignment
Solution Approach 1:
The system automatically performs the evaluation by comparing measured values with the appropriate target data retrieved through self-service data selection. This automation enables high-volume quick acceptance measurements while maintaining ease of operation, as the system handles the complex comparison and evaluation processes without requiring operator expertise in selecting and interpreting target data.
3Reliability
If manual entry of vehicle identification is required, then correct data record selection is enabled, but the work procedure becomes complex and time-consuming
Solution Approach 1:
The system performs automatic self-service by autonomously selecting the appropriate target data record based on vehicle identification (VIN or license plate) without requiring manual operator intervention. The selection device automatically queries the database using the provided identification and retrieves the matching target data, thereby eliminating the time-consuming manual selection process while maintaining evaluation accuracy.
Solution Approach 2:
The system uses vehicle identification (VIN or license plate) as an intermediary key to connect the measured vehicle with its corresponding target data record in the database. This intermediary approach simplifies the work procedure by replacing complex manual data matching with a straightforward lookup process based on the identification number.
Data Source
AI summary
An apparatus for automatically evaluating chassis or wheel alignment measurement data comprises: a memory device configured to store a number of chassis data records, with each chassis data record containing at least one chassis parameter and a tolerance range allocated to each chassis parameter; a provisioning device configured to provide a data record of current chassis parameters, which comprises at least one current chassis parameter; a selection device configured to select, on the basis of the data record provided by the provisioning device, a subset of chassis data records from the chassis data records stored in the memory device; and a determination device configured to determine the proportion of the chassis data records from the subset of chassis data records for which the current chassis parameter's of the data record provided by the provisioning device are within the specified tolerance ranges.