Adaptive Location Scanning Method Reducing Data Redundancy
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Solution Overview
Problem
Current location scanning methods generate redundant data, particularly at higher speeds, leading to inefficient data transmission and increased processing requirements, while existing solutions do not effectively adapt sampling rates to vehicle speed.
Innovation Solution
Adaptive sampling method that transmits data more frequently at lower speeds and less frequently at higher speeds, using speed-dependent weighting factors to determine the optimal sampling rate, thereby reducing data redundancy and processing demands.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If location data is scanned at a fixed high sampling rate, then location determination accuracy is improved, but data redundancy increases and processing requirements increase
Solution Approach 1:
The patent applies dynamics by making the sampling rate adaptive rather than fixed. The scanning frequency dynamically adjusts based on vehicle speed, using higher rates when speed is low and lower rates when speed is high. This resolves the contradiction by allowing high accuracy when needed (low speed) while reducing data redundancy when accuracy is less critical (high speed).
Solution Approach 2:
The patent changes the sampling rate parameter based on vehicle speed. By modifying this key parameter dynamically, the system optimizes the balance between measurement precision and data quantity. The sampling rate is not constant but varies as a function of speed, directly addressing the contradiction between accuracy and data redundancy.
2Measurement precision
If location data is scanned at a fixed high sampling rate, then location determination accuracy is improved, but processing power and storage capacity requirements increase
Solution Approach 1:
The system dynamically adjusts the sampling rate based on vehicle speed, reducing the processing load and storage requirements during high-speed conditions while maintaining accuracy during low-speed conditions. This dynamic adaptation resolves the contradiction between measurement precision and device complexity requirements.
Solution Approach 2:
By changing the sampling rate parameter according to speed conditions, the patent reduces the amount of data that needs to be processed and stored. This parameter change directly lowers the processing power and storage capacity requirements while maintaining sufficient accuracy for the given operating conditions.
3Measurement precision
If location data is scanned at a fixed high sampling rate, then location determination accuracy is improved, but transmission costs increase
Solution Approach 1:
The patent dynamically adjusts the sampling rate based on vehicle speed, transmitting less data during high-speed conditions and more data during low-speed conditions. This dynamic approach reduces transmission costs while maintaining accuracy when most needed, resolving the contradiction between measurement precision and transmission costs.
Solution Approach 2:
The sampling rate parameter is changed based on speed, directly reducing the volume of data transmitted. This parameter adaptation lowers transmission costs by avoiding unnecessary data transmission during high-speed conditions when location updates are less critical.
4Quantity of substance
If location data is scanned at a fixed low sampling rate, then data redundancy is reduced and processing requirements are lowered, but location determination accuracy deteriorates
Solution Approach 1:
The system dynamically switches between high and low sampling rates based on vehicle speed. During low-speed conditions, it uses high sampling rates to maintain accuracy. During high-speed conditions, it uses low sampling rates to reduce data redundancy. This dynamic switching resolves the contradiction between data redundancy and measurement precision.
Solution Approach 2:
The sampling rate parameter is adapted based on speed conditions, using higher rates when accuracy is critical (low speed) and lower rates when redundancy reduction is prioritized (high speed). This parameter change resolves the contradiction by matching the sampling rate to the actual operational needs.
Data Source
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AI summary
The invention relates to a method (10) for scanning a location, characterized by the following features: - an intrinsic speed is measured at predetermined points in time (11) and, as a function of the intrinsic speed, a counter is increased (12), and - as soon as the counter reaches a predetermined threshold (13, Y), the location is determined (14).