Oil Diagnostic Device Using Statistical Causal Search Model
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Solution Overview
Problem
The existing diagnostic systems are unable to make a diagnosis using driving information acquired from inexpensive recording devices, as this information is limited and not compatible with genuine on-board units.
Innovation Solution
An oil diagnostic device that generates a statistical causal search model using data from on-board unit sensors, acquires additional driving information from independent vehicle sensors, estimates corresponding information, and derives a precursor accumulation amount, allowing for oil diagnosis using measurement information from an inexpensive device.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If an inexpensive recording device is used to record driving information, then cost is reduced, but the types of driving information that can be acquired are limited
Solution Approach 1:
The patent introduces a statistical causal search model as an intermediary that connects the limited data from inexpensive recording devices with the diagnostic requirements of on-board unit-compatible systems. The model infers missing driving information by establishing causal relationships between available sensor data and required diagnostic parameters, enabling accurate oil diagnosis without requiring all original sensor types
Solution Approach 2:
The patent creates a virtual copy of the complete driving information set by using the statistical model to generate estimated values for missing parameters. Instead of physically installing all on-board unit sensors, the system replicates the information landscape through mathematical modeling, allowing the diagnostic system to operate as if complete data were available
2Adaptability or versatility
If a diagnostic system is designed to be compatible with on-board units, then diagnostic capability is improved, but cost increases
Solution Approach 1:
The patent creates a universal diagnostic system that can process both complete on-board unit data and limited inexpensive recorder data through the same statistical causal search model. This multi-functionality allows the system to adapt to different data sources and vehicle configurations without requiring separate diagnostic pathways or additional hardware investments
Solution Approach 2:
The patent changes the fundamental parameter of data acquisition from physical sensor installation to statistical inference. By transforming the diagnostic approach from direct measurement to model-based estimation, the system achieves on-board unit compatibility without requiring the corresponding hardware investment, effectively changing how diagnostic parameters are obtained rather than how they are measured
Data Source
AI summary
An oil diagnostic device includes a generator configured to generate a statistical causal search model showing a correlation between a plurality of kinds of driving information by using first data that is the individual kinds of driving information acquired in advance from sensors connected to an on-board unit mounted on a vehicle, an acquirer configured to acquire second data that is driving information acquired from a sensor mounted on the vehicle and provided independently of the on-board unit, an estimator configured to estimate the driving information corresponding to the second data by using the statistical causal search model, and a deriver configured to derive a precursor accumulation amount of the vehicle from the estimated driving information.