FMCW Radar Level Gauge With Adaptive Measurement Parameters
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Solution Overview
Problem
Existing level measuring devices struggle to automatically adapt their parameters to specific measuring situations, such as varying filling materials, dynamics, and environmental conditions, leading to inefficient and energy-inefficient measurements.
Innovation Solution
A radar level gauge equipped with a transmitting and receiving device, controlled by a control unit, uses a selection device to automatically select a parameter set including measurement duration, frequency, and number of measurements based on signal-to-noise ratio, amplitude, and other influencing variables, optimizing the measurement for specific conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the level measuring device uses fixed measurement parameters, then the device structure remains simple, but the device cannot adapt to different measuring situations leading to reduced measurement precision and increased energy consumption
Solution Approach 1:
The level measuring device automatically selects measurement parameters (measurement duration, measurement frequency, number of consecutive measurements) based on the measured signal characteristics without external intervention. The control device evaluates the signal-to-noise ratio and automatically adjusts parameters, making the system self-adapting to different measuring situations while maintaining simple operation.
2Measurement precision
If the measurement duration is increased to improve measurement precision, then measurement accuracy improves, but energy consumption increases
Solution Approach 1:
The measurement duration is made dynamically adjustable based on the measured signal characteristics. The control device selects from multiple predefined measurement durations (e.g., 10ms, 20ms, 50ms, 100ms) depending on the signal-to-noise ratio. For strong signals, shorter durations reduce energy consumption, while for weak signals, longer durations improve measurement precision.
Solution Approach 2:
The system changes the measurement parameter (duration, frequency, number of measurements) based on the measured signal conditions. The control device automatically selects appropriate parameter combinations from predefined sets to optimize the balance between measurement precision and energy consumption for different signal qualities.
3Productivity
If the measurement frequency is increased to improve productivity, then measurement speed improves, but energy consumption increases
Solution Approach 1:
The measurement frequency is dynamically adjusted based on signal characteristics and process requirements. The system offers multiple frequency settings (e.g., 10Hz, 20Hz, 50Hz, 100Hz) that are automatically selected by the control device. For stable processes with strong signals, lower frequencies reduce energy consumption, while for dynamic processes, higher frequencies improve productivity.
Solution Approach 2:
The system automatically changes measurement frequency parameters based on evaluated signal conditions and process dynamics. The control device selects from predefined frequency sets to optimize the balance between productivity and energy consumption, avoiding unnecessarily high frequencies when signal conditions permit lower rates.
4Reliability
If the number of consecutive measurements is increased to improve measurement precision, then measurement reliability improves, but measurement time and energy consumption increase
Solution Approach 1:
The number of consecutive measurements is dynamically selected from predefined values (e.g., 1, 2, 4, 8, 16, 32) based on signal-to-noise ratio and process stability. The control device automatically determines the appropriate number of averaging measurements needed to achieve reliable results without unnecessarily extending measurement time for stable signal conditions.
Solution Approach 2:
The system automatically adjusts the number of consecutive measurements parameter based on signal quality evaluation. For noisy signals, more consecutive measurements improve reliability through averaging, while for stable signals, fewer measurements reduce time loss, with the control device selecting the optimal value from predefined sets.
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
Enables the radar level gauge to perform optimized and energy-efficient measurements by automatically adjusting to varying conditions, improving measurement accuracy and reducing energy consumption.
Implementation Method 1
a transmitting device (110) configured to transmit a radar signal (114) in a direction of a filling material surface (194) to perform the measurement
Implementation Method 2
a receiving device (120) configured to receive the radar signal (124) reflected from the filling material surface (194)
Data Source
Figure 1
Figure 2a~2b
Figure 3a~3f
AI summary
The invention relates to a radar level measuring device (100) which is designed to carry out a measurement (210, 220, 230) for determining a fill level (194). The fill level (194) is determined using an FMCW measuring method. The radar level measuring device (100) has a transmitting device (110) designed to transmit a radar signal (114) in the direction of a fill material surface (194); a receiving device (120) designed to receive the radar signal (124) reflected from the fill material surface (194); a control unit (160) designed to control the transmitting device (110) and the receiving device (120); and a selection device (140) designed to select a parameter set (150.1) for controlling the transmitting device (110) and the receiving device (120). The parameter set (150.1) comprises1) at least one measurement duration (td) of the measurement (210), a minimum measurement frequency (fmin) and a maximum measurement frequency (fmax) of the measurement (210), and a number of consecutive measurements (210, 220, 230).