AI Echo-Peak Detection for Level Measuring Device Installation
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Solution Overview
Problem
Existing methods for installing level measuring devices require significant expertise and effort, especially in applications with foam, dust, or agitators, and there is a need for a method that allows for quick installation with minimal experience while achieving precise level measurements.
Innovation Solution
A method involving the attachment of a level measuring device, emission of a signal into a container, capturing and compressing echo data points, and utilizing an artificial intelligence-based feature detecting algorithm to identify the level of the medium or functional components, facilitated by a computer program product and control unit.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional manual installation methods are used for level measuring devices, then measurement precision can be achieved, but the installation requires significant expertise and time
Solution Approach 1:
The system performs self-calibration by automatically emitting signals, capturing echoes, and using AI algorithms to identify peaks and determine level measurements without requiring manual expert intervention. The level measuring device calibrates itself through the automated process of signal emission, echo capture, and feature detection.
Solution Approach 2:
The patent replaces manual mechanical adjustment and expert-based calibration procedures with an automated electronic system that uses signal processing and artificial intelligence algorithms to perform calibration and measurement, eliminating the need for expert manual operation.
2Measurement precision
If traditional installation methods are used, then precise measurements can be obtained, but production line retooling time increases
Solution Approach 1:
The system performs preliminary automated calibration by emitting test signals and capturing echoes before actual production begins. The AI algorithms pre-process the echo data and establish baseline measurements, so that when production starts, the device is already calibrated and ready for immediate use.
Solution Approach 2:
The system automatically adjusts measurement parameters such as signal frequency, pulse duration, and evaluation thresholds based on the captured echo characteristics. The AI algorithm adapts the measurement parameters to match the specific conditions of each container and medium, enabling quick adaptation to different production scenarios.
3Ease of operation
If automated AI-based methods are used, then installation speed and ease improve, but system complexity increases
Solution Approach 1:
The level measuring device integrates multiple functions into a single system: signal emission, echo capture, data processing, AI-based feature detection, and level calculation all occur within one device. This multi-functionality reduces the need for separate external systems while maintaining the automated AI-based approach.
Solution Approach 2:
The patent introduces a signal as an intermediary between the measuring device and the medium. The signal carries information about the medium level through its echo, allowing the AI algorithm to indirectly measure the level without physical contact with the medium, simplifying the interaction while enabling automated measurement.
4Loss of time
If automated AI-based methods are used, then installation time is reduced, but data processing complexity increases
Solution Approach 1:
The AI algorithm extracts only the essential features from the echo data, specifically identifying peak positions and characteristics that correspond to the medium level. By focusing only on the relevant peak features rather than processing the entire raw echo signal, the system reduces data processing complexity while maintaining measurement accuracy.
Solution Approach 2:
The echo signal is segmented into discrete data points that can be individually processed by the AI algorithm. The system divides the continuous echo signal into manageable segments, allowing efficient processing and identification of peaks without overwhelming computational requirements.
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 quick and precise installation of level measuring devices with reduced user expertise, automating complex steps and enhancing user-friendliness through artificial intelligence, allowing for real-time monitoring and adaptive settings.
Implementation Method 1
a signal is emitted from the level measuring device into the container. An echo of the signal is captured
Data Source
AI summary
A method for installing and operating a level measuring device at a container, that is configured to hold a varying amount of a medium. The method includes a step in which a signal is emitted from the level measuring device into the container. An echo of the signal is captured and stored as a plurality of data points. In another step, a data set including at least a portion of the data points is fed into a feature detecting algorithm. Furthermore, a peak of the echo that represents the level of the medium in the container is determined. In yet another step, the determined peak is set as a portion of the echo that is to be evaluated for measuring the level of the medium. The feature detecting algorithm includes artificial intelligence.