Coriolis Flow Meter ADC Sampling Frequency Adaptation
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Solution Overview
Problem
Coriolis type flow measuring systems face high power and heat dissipation issues due to the need for multiple converters and high processor power for high-resolution data processing, leading to undesirable temperature gradients and performance degradation.
Innovation Solution
The system adapts sampling and calculation frequencies based on the rate of change of the flow, using an additional processing block to adjust digitization and processing frequencies, allowing for lower power consumption and heat dissipation when flow is constant, while increasing frequencies during rapid changes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If high sampling frequencies are used to ensure satisfactory operation and measurement accuracy, then measurement precision is improved, but power dissipation and heat dissipation increase
Solution Approach 1:
The sampling frequency is made dynamically adjustable rather than fixed. The system automatically adapts the sampling frequency based on the detected rate of change of the measured variable, using higher frequencies when changes are rapid and lower frequencies when the variable is stable, thus optimizing between measurement accuracy and power consumption
Solution Approach 2:
The system changes the sampling frequency parameter according to the measured rate of change. By monitoring how quickly the measured variable changes and adjusting the sampling frequency accordingly, the system maintains measurement precision when needed while reducing power dissipation during stable conditions
2Measurement precision
If high sampling frequencies are used to ensure satisfactory operation, then measurement precision is improved, but heat dissipation increases causing temperature gradients and performance degradation
Solution Approach 1:
The sampling frequency is made dynamically adjustable rather than fixed. The system automatically adapts the sampling frequency based on the detected rate of change of the measured variable, using higher frequencies when changes are rapid and lower frequencies when the variable is stable, thus optimizing between measurement accuracy and power consumption
Solution Approach 2:
The system changes the sampling frequency parameter according to the measured rate of change. By monitoring how quickly the measured variable changes and adjusting the sampling frequency accordingly, the system maintains measurement precision when needed while reducing power dissipation during stable conditions
3Measurement precision
If multiple converters are used for high-resolution data processing, then measurement precision is improved, but device complexity increases
Solution Approach 1:
A single converter is designed to perform multiple functions by dynamically adjusting its sampling frequency. Instead of requiring separate converters for different sampling rates, one universal converter handles all sampling needs by changing its operating frequency based on the rate of change of the measured variable
Solution Approach 2:
The system changes the sampling frequency parameter according to the measured rate of change. By monitoring how quickly the measured variable changes and adjusting the sampling frequency accordingly, the system maintains measurement precision when needed while reducing power dissipation during stable conditions
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach reduces energy consumption and heat dissipation, maintaining measurement accuracy while allowing for faster response times during flow changes, particularly beneficial in systems with multiple sensors.
Implementation Method 1
drive means for causing the flow tube to oscillate about an axis of rotation
Data Source
AI summary
Coriolis type flow measuring system for measuring the mass flow rate of a flowing medium, includes a flow tube and sensors associated with the flow tube for generating analog signals corresponding to the movement of the tube, analog to digital conversion elements for converting the analog sensor signals into digitized signals with a sampling frequency, and elements for calculating the mass flow rate from the digitized signals, which system is provided with members for causing the sampling of the sensor signals to take place with a number of different frequencies, elements for continuously measuring the rate at which the flow changes, and elements for selecting a predefined sampling frequency in dependence on the rate of change thus measured.


