Force-Measuring Device Signal Correction for Drift and Vibration
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Solution Overview
Problem
Existing electronic force-measuring devices, such as balances, face challenges in achieving accurate measurements due to internal and external influence factors like creep, hysteresis, temperature changes, and vibrations, which current compensation methods struggle to fully correct under unfavorable conditions.
Innovation Solution
A method that evaluates characteristic traits from the measuring signal's time profile to determine the device's condition, allowing for targeted optimization and correction of measurement signals by adjusting filter parameters and drift compensation, optimizing the behavior of the force-measuring device under varying conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional compensation methods are used to correct measurement errors, then some internal and external disturbance factors are eliminated, but measurement accuracy deteriorates under unfavorable conditions
Solution Approach 1:
The patent implements dynamic determination of device condition based on real-time analysis of measuring signal time profiles. The system adapts correction parameters continuously according to the actual condition (e.g., temperature, vibrations, creep status) rather than using fixed conventional compensation methods, enabling accurate measurements even under unfavorable changing conditions
Solution Approach 2:
The system changes correction parameters based on the determined device condition. By analyzing characteristic traits of the measuring signal and adjusting correction parameters dynamically, the system optimizes compensation effectiveness for the current condition, resolving the contradiction between reliable compensation and precise measurement
2Device complexity
If fixed correction parameters are used, then device complexity is reduced, but adaptability to different conditions deteriorates
Solution Approach 1:
The force-measuring device determines its own condition by analyzing its measuring signal time profiles and automatically adjusts correction parameters without external intervention. This self-service approach enables the device to adapt to different conditions (temperature changes, vibrations, creep) while maintaining manageable complexity through automated condition-based parameter selection
3Object-affected harmful factors
If conventional filtering is applied to eliminate disturbances, then signal noise is reduced, but measurement speed and resolution deteriorate
Solution Approach 1:
The system dynamically selects filtering and correction strategies based on the determined device condition. By analyzing the measuring signal time profile to identify the current condition (e.g., presence of vibrations, temperature drift, creep), the system applies appropriate condition-specific correction parameters and filtering, eliminating disturbances while preserving signal resolution and measurement speed
Data Source
AI summary
A method serves to optimize the behavior of an electronic force-measuring device, in particular a balance that comprises a measuring transducer through which a measuring signal is formed which is representative of a load applied to the force-measuring device, which measuring signal is delivered to a signal-processing unit that is supported by at least one processor and at least one memory storage unit and serves to process digital signals. First characteristic traits for the condition of the force-measuring device are determined, the first characteristic traits being the result of internal and/or external factors affecting the force-measuring device, and/or second characteristic traits for the force-measuring device are determined from the analysis of at least one signal profile of the measuring signal, whereupon the condition of the force-measuring device is determined on the basis of the first and/or second characteristic traits, and the further processing of the measuring signal and/or the operation of the force-measuring device is controlled accordingly. Based on the condition of the force-measuring device that was determined, the processing or evaluation of the signal as well as the use of optimizing measures that serve to determine, e.g., optimized correction parameters such as drift parameters or filter parameters can be advantageously controlled.