Weighing Sensor Zero Drift Compensation via Environmental Data
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Solution Overview
Problem
Existing methods for compensating zero drift in weighing sensors, such as those used in truck scales and moisture meters, are inadequate for dynamic environmental conditions like varying temperatures and humidity, as they rely on fixed parameters that cannot adjust in real-time, leading to inaccurate measurements.
Innovation Solution
A method that dynamically adjusts zero compensation parameters in real-time based on collected environmental data, such as temperature and humidity, to ensure accurate weighing by triggering updates during idle states or when environmental changes exceed thresholds, and includes performance verification to prevent performance degradation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If fixed compensation parameters are stored in the device, then the device can compensate for zero drift, but the compensation cannot adapt to dynamic environmental changes
Solution Approach 1:
The patent implements dynamic zero compensation by continuously collecting environmental parameters (temperature, humidity) and calculating real-time zero compensation values, replacing the static fixed parameter approach. The system dynamically adjusts compensation based on current environmental conditions, enabling adaptation to changing environments while maintaining reliable zero drift compensation.
Solution Approach 2:
The system establishes a feedback loop where environmental parameters are continuously monitored, zero compensation values are calculated based on this data, and compensation is applied to the weighing measurements. This closed-loop feedback mechanism ensures that compensation adapts automatically to environmental changes, resolving the contradiction between reliability and adaptability.
2Measurement precision
If environmental parameters are collected continuously to update zero compensation, then measurement accuracy improves, but device complexity increases
Solution Approach 1:
The patent leverages the existing microcontroller and data processing capabilities already present in modern weighing devices for other functions (display, communication, control). These existing universal components are repurposed to also handle environmental parameter collection and zero compensation calculations, avoiding the need for dedicated additional hardware and minimizing device complexity while improving measurement precision.
3Measurement precision
If zero compensation is updated frequently, then compensation accuracy improves, but processing time and energy consumption increase
Solution Approach 1:
The system implements periodic zero compensation updates triggered by environmental change thresholds rather than continuous updates. When environmental parameters change beyond a设定的 threshold, the system triggers a zero compensation recalculation. This periodic action based on actual need balances compensation accuracy with processing time efficiency, avoiding unnecessary frequent updates while maintaining precision when environmental conditions change.
Data Source
AI summary
A method for adjusting parameters of a device with a weighing sensor collecting environmental parameter data of an environment where the device is currently located or environmental parameter data during execution of an application by the device. A zero compensation parameter is calculated and updated, based on the data collected. The method is applicable to a moisture analyzer and also to a vehicle scale. In the moisture analyzer, the method is triggered and executed in the analyzer, correcting the zero compensation data by using the environmental parameter data of an environment or environmental parameter data during execution of an application by the analyzer. Dynamic and real-time adjustment of a compensation parameter overcomes the problem that the scheme of pre-setting fixed parameters for zero compensation cannot deal with the complex zero drift encountered in actual environments.