Wind Data Estimating Apparatus Using Vehicle Acceleration
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Solution Overview
Problem
Existing wind detecting apparatuses cannot quantify wind velocity and direction, limiting detailed analysis of wind's influence on vehicles.
Innovation Solution
A wind data estimating apparatus that collects vehicle information including acceleration, driving operation data, and position information, classifies this data by area, and estimates wind velocity and direction by subtracting accelerations caused by driving operations and road grades, using multiple vehicle data for more accurate calculations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If existing wind detecting apparatuses are used to detect presence or absence of wind, then wind detection function is achieved, but wind velocity and direction cannot be quantified
Solution Approach 1:
The patent uses vehicle acceleration data as an intermediary to indirectly measure wind velocity and direction. Instead of directly measuring wind parameters, the system captures the effect of wind on vehicle motion through acceleration sensors, then reconstructs wind data from these indirect measurements after compensating for driving operations.
Solution Approach 2:
The patent replaces traditional mechanical wind measurement systems with a computational approach using vehicle sensor data. Instead of using dedicated wind measurement instruments, the system substitutes vehicle acceleration sensors combined with driving operation data and computational algorithms to estimate wind velocity and direction.
2Measurement precision
If acceleration data from multiple vehicles is collected and classified by area, then estimation accuracy is improved, but data processing complexity increases
Solution Approach 1:
The patent segments the collected acceleration data by geographical area and time periods. The data processing system divides the overall dataset into multiple smaller segments based on location and time, allowing for more manageable processing while improving accuracy through localized analysis. This segmentation enables the system to handle complex data in an organized manner.
Solution Approach 2:
The patent creates a universal data processing framework that handles multiple types of vehicle data (acceleration, driving operations, position information) through a single integrated system. This multi-functional approach processes various data types using common algorithms and infrastructure, reducing overall system complexity despite handling diverse inputs.
Data Source
AI summary
A wind data estimating apparatus includes one or more processors configured to collect vehicle information including a first acceleration, an amount of driving operation performed by a driver of a vehicle, and position information, which are obtained by sensors installed in the vehicle; classify the collected vehicle information by an area of a plurality of areas according to the position information; and estimate a wind velocity and a wind direction for the area and for a time range when the vehicle information is obtained, on the basis of an acceleration obtained from subtracting a second acceleration caused by the amount of driving operation from the first acceleration included in the vehicle information classified by the area.