Weight Detection Cycle Optimization for Transient Signal Filtering
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Solution Overview
Problem
Conventional methods for measuring body weight require the object to remain still, making it difficult and time-consuming, especially for domestic animals that cannot stand still, as they need to acquire all measurement values before selecting stable ones.
Innovation Solution
A measurement system with a weight detection unit that detects weight at shorter cycles than the transient signal waveform cycle, using a calculating unit to determine stable measurement values and calculate an average based on these values within a predetermined interval, excluding deviating values and terminating measurement when appropriate conditions are met.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If measurement values are acquired continuously until termination of measurement to select stable values, then measurement accuracy is improved, but measurement time increases significantly
Solution Approach 1:
The system performs preliminary actions by detecting weight at shorter cycles than the transient signal waveform cycle to capture the transient phase, then identifies when stable conditions are met. This preliminary detection phase allows the system to transition to average value calculation only when stability is confirmed, avoiding unnecessary continuous measurement and reducing overall measurement time while maintaining accuracy.
2Productivity
If the detection cycle is shortened to reduce measurement time, then measurement speed is improved, but the ability to capture transient signal waveform may be compromised
Solution Approach 1:
The system dynamically adjusts its operation based on the detected signal characteristics. It uses shorter detection cycles during the transient phase to capture rapid changes, then transitions to averaging mode when stability is detected. This dynamic approach ensures transient signals are captured with sufficient resolution while maintaining high measurement speed for the majority of the measurement process.
Solution Approach 2:
The system employs feedback mechanisms by continuously monitoring weight detection values and comparing them against stability criteria. Based on this feedback, it determines when transient conditions have subsided and stable measurement conditions have been achieved, allowing it to switch from rapid sampling to average value calculation, thus maintaining both speed and reliability.
3Reliability
If all measurement values are acquired and analyzed to ensure accuracy, then measurement reliability is improved, but system complexity increases
Solution Approach 1:
The system extracts and processes only the essential information needed for accurate measurement. Instead of analyzing all measurement values equally, it identifies and extracts the stable measurement values that occur after transient conditions subside. This extraction approach maintains measurement reliability by focusing on stable data while simplifying the processing burden by excluding transient and unstable values.
4Measurement precision
If the system waits for stable measurement conditions to be confirmed, then measurement accuracy is improved, but measurement time increases
Solution Approach 1:
The system uses periodic detection at shorter cycles to efficiently monitor for stable conditions without requiring continuous measurement. By periodically checking weight detection values against stability criteria at optimized intervals, it可以快速 identify when stable conditions are met and transition to average value calculation, reducing waiting time while ensuring accuracy.
Data Source
AI summary
An exemplary embodiment provides a measurement system. A measurement system measuring body weight includes a weight detection unit detecting weight at predetermined detection cycles, and a calculating unit calculating an average value based on measurement values detected by the weight detection unit at the detection cycles. The detection cycle is shorter than a cycle at which a transient signal waveform predicted in accordance with measurement values detected by the weight detection unit can be obtained.