Vehicle Sensor Data Compression via Statistical Extraction
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Solution Overview
Problem
Existing methods for acquiring and diagnosing vehicle operating states are inefficient in storing and processing raw data, leading to storage space issues and inadequate fault detection, particularly in internal combustion engine exhaust systems.
Innovation Solution
A method that acquires first information from vehicle sensors and generates second information through statistical analysis, allowing for efficient storage and scaling of data, enabling precise fault diagnosis by storing summarized values and transmitting them for remote diagnostics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If raw data from vehicle sensors is stored for fault diagnosis, then diagnostic accuracy is improved, but storage space requirement increases
Solution Approach 1:
The patent extracts only the essential diagnostic information from raw sensor data by storing statistical characteristic values (mean, maximum, minimum) instead of complete raw data sequences. This extraction approach maintains diagnostic accuracy while significantly reducing storage requirements.
Solution Approach 2:
The patent creates a compressed representation (copy) of the raw data through statistical summaries. Instead of storing the complete original data, it stores condensed statistical characteristics that capture the essential diagnostic information, effectively creating a smaller copy that retains diagnostic value.
2Reliability
If continuous monitoring of operating states is performed, then fault detection capability is improved, but data processing complexity increases
Solution Approach 1:
The patent performs preliminary processing of sensor data by calculating statistical characteristic values (mean, maximum, minimum) during normal operation. This preliminary action prepares simplified diagnostic data in advance, reducing the complexity of real-time fault detection and enabling reliable monitoring without excessive processing burden.
3Measurement precision
If detailed raw data is stored for analysis, then diagnostic precision is improved, but information storage efficiency deteriorates
Solution Approach 1:
The patent changes the representation parameters of the data from raw sensor values to statistical characteristic values (mean, maximum, minimum). This parameter transformation maintains diagnostic precision by preserving essential information patterns while dramatically reducing the quantity of data that needs to be stored.
Data Source
AI summary
A method for acquiring information from a driving operation of a vehicle, in which first information is acquired with respect to at least one operating state of the vehicle and additional second information is ascertained with respect to this at least one operating state using statistical methods, the first and second information concerning this at least one operating state being stored. A method for the assigning and diagnosis of at least one operating state of a vehicle, a control unit, a computer program and a computer-program product are also provided.