Vehicle Diagnostic Baselining With Aggregated Data Comparison
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Solution Overview
Problem
Vehicle diagnostic tools lack contextual data, such as historical information, and require skilled personnel to interpret complex data for effective diagnosis and repair.
Innovation Solution
A system comprising a server device and client device that aggregates and compares vehicle-related data to generate a diagnostic report, including sub-strategies with success estimates, to aid in vehicle diagnosis and repair.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If vehicle diagnostic tools provide comprehensive data, then diagnostic accuracy is improved, but data interpretation complexity increases requiring skilled personnel
Solution Approach 1:
The patent introduces an intermediary system (server device with processing algorithms) that acts as a mediator between the raw diagnostic data and the technician. This intermediary automatically aggregates, compares, and interprets the comprehensive vehicle data, transforming it into actionable diagnostic insights without requiring the technician to manually analyze the complex raw data themselves.
Solution Approach 2:
The diagnostic system performs self-service by automatically executing data aggregation, comparison against historical baselines, and generation of diagnostic conclusions. The system serves itself by autonomously interpreting the comprehensive data it collects, eliminating the need for skilled personnel to manually interpret the complex data structures.
2Ease of operation
If diagnostic tools provide raw data without contextual information, then device simplicity is maintained, but diagnostic effectiveness decreases
Solution Approach 1:
The patent merges multiple data sources and contextual information layers into a unified diagnostic presentation. It combines current vehicle data with historical baseline data, aggregated fleet data, and diagnostic algorithms into a single integrated system that delivers both simplicity and effectiveness simultaneously.
Solution Approach 2:
The system performs preliminary actions by pre-aggregating and pre-comparing diagnostic data against historical baselines before presenting results to the technician. This preliminary processing of contextual information occurs automatically in the background, so when the technician views the diagnostic results, the contextual analysis is already complete and integrated.
3Measurement precision
If skilled personnel manually interpret diagnostic data, then diagnostic thoroughness is improved, but time consumption increases
Solution Approach 1:
The patent replaces the mechanical process of manual data interpretation by skilled personnel with an automated electronic processing system. Server devices with processing algorithms automatically perform the thorough analysis that previously required human experts, maintaining diagnostic thoroughness while eliminating the time consumption associated with manual interpretation.
Solution Approach 2:
The system changes the parameter of processing speed by utilizing computational power to analyze diagnostic data instantaneously, compared to the sequential manual analysis performed by technicians. This parameter change in processing velocity maintains thoroughness while dramatically reducing time consumption.
Data Source
AI summary
Disclosed are methods and devices related to diagnosing a device-under-service (DUS) are disclosed. DUS-related data is received. The DUS-related data is determined to be aggregated into aggregated data based on a determined classification of the DUS-related data. An aggregated-data comparison of the DUS-related data and aggregated data is generated. The aggregated-data comparison can include a statistical analysis of the DUS-related data and/or a differential analysis of DUS-related data taken while the DUS is operating in two or more operating states. A DUS report is generated based on the aggregated-data comparison. The DUS report can include one or more sub-strategies. At least one of the one or more sub-strategies can include a sub-strategy-success estimate. The DUS report can be sent and a DUS-report display can be generated based on the DUS report.