Predicting Radar Echo Curves to Reduce Setup Errors
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Operators with insufficient experience may incorrectly judge the setup and functionality of pulsed radar level gauges based on echo curves, leading to potential misinstallation or operational issues.
Innovation Solution
A mathematical model incorporating parameters such as process connection, tank dimensions, dielectric characteristics of the product material, and probe length is used to predict the shape and features of expected echo curves, with an echo prediction algorithm comparing predicted and actual curves to generate alarms and provide guidance for proper setup and troubleshooting.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If operators with insufficient experience analyze echo curves to judge PRG setup and functionality, then the operation process remains simple and quick, but the judgment accuracy decreases leading to potential misinstallation or operational issues
Solution Approach 1:
The patent creates a virtual copy of the actual echo curve through mathematical modeling. The model generates a predicted echo curve based on PRG construction parameters, tank dimensions, dielectric characteristics, and probe length. This virtual echo curve is then compared with the actual measured echo curve to validate setup accuracy, enabling experienced-level analysis without requiring experienced operators.
Solution Approach 2:
The mathematical model acts as an intermediary between the raw echo curve data and the operator's judgment. Instead of requiring operators to directly interpret complex echo curves, the model processes the data and provides a comparative analysis, mediating the information to make it accessible and reliable for operators regardless of their experience level.
2Measurement precision
If a mathematical model with multiple parameters is used to predict echo curves, then the assessment accuracy of PRG setup improves, but the computational complexity and data requirements increase
Solution Approach 1:
The patent performs preliminary actions by collecting all necessary parameters (process connection details, tank dimensions, dielectric characteristics, probe length) before the actual echo curve analysis. This preparatory data collection and model configuration enables the mathematical model to be ready for prediction, reducing the complexity during the actual assessment phase and improving overall accuracy through comprehensive pre-input data.
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
The solution enables accurate assessment of pulsed radar level gauge setup and functionality, reducing errors by visually overlaying predicted and actual echo curves and providing alerts and guidance for operators, ensuring correct installation and operation.
Implementation Method 1
a transmitter (generally part of a transceiver) launches a pulse of electromagnetic energy onto a probe
Implementation Method 2
The probe is generally placed vertically in a tank or other container and the electromagnetic pulse is launched downward from the top of the probe
Implementation Method 3
At that point, the electromagnetic fields see the higher dielectric constant of the product material. This higher dielectric constant causes a reduction in the impedance of the transmission line, resulting in a pulse echo being reflected back
Implementation Method 4
The pulse travels through the generally air dielectric portion of the probe above the product material at a known velocity
Data Source
Figure 1
Figure 2
AI summary
A method of modeling a pulsed radar gauge (PRG) that includes a transceiver (220) coupled by a process connection (225) to a probe (244) installed on a tank (205) having at least one product material therein. A mathematical model is provided that includes (i) dielectric properties and dimensions of materials used in the process connection, (ii) at least one tank dimension, (iii) dielectric characteristics of the product material, and (iv) a probe length. Using a processor (215, 245) implementing a stored echo prediction algorithm (245b) that utilizes the mathematical model inputting pulse characteristics including a shape of an input radar pulse launched by a transmitter of the transceiver (220) onto the probe into the mathematical model, and generating a predicted echo curve from the mathematical model.