Virtual Sensor Optimization for Laser Scanner Configuration
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Solution Overview
Problem
The existing methods for determining a suitable sensor setting, such as for a laser scanner, are time-consuming and require an expert's manual iteration, limiting dynamic adjustments and necessitating on-site presence during sensor assembly and configuration.
Innovation Solution
A method using a computing device to simulate a sensor setting in a virtual test environment, where a virtual sensor generates data based on the setting, and an evaluation metric is used to adjust the setting until it meets predetermined conditions, allowing for automatic or manual determination of a preferred sensor setting.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual iteration is used to determine sensor setting by an expert, then the sensor setting can be optimized to meet subjective requirements, but the process becomes very time-consuming and requires expert presence on-site
Solution Approach 1:
The patent creates a digital twin (virtual sensor and virtual test environment) that copies the physical sensor and its operating conditions. This virtual model can be configured and optimized without requiring the physical sensor or expert presence on-site, thereby reducing time loss while maintaining measurement precision through the evaluation metric that guides optimization.
Solution Approach 2:
The patent performs sensor configuration and optimization in advance using the virtual sensor and simulation environment. The sensor setting is determined beforehand through automated evaluation metrics, eliminating the need for time-consuming manual iteration and expert on-site presence during actual sensor deployment.
2Measurement precision
If manual sensor configuration is performed, then the sensor setting can be adjusted based on expert knowledge, but dynamic adjustment during ongoing sensor operation is not possible
Solution Approach 1:
The patent implements a dynamic optimization process where the sensor setting can be adjusted during ongoing operation. The evaluation metric continuously assesses sensor performance and guides real-time adjustments to sensor parameters, enabling the system to adapt to changing environmental conditions and maintain optimal measurement precision dynamically.
Solution Approach 2:
The patent establishes a feedback loop where sensor data is continuously evaluated against the evaluation metric, and the results feed back into automatic adjustments of sensor settings. This closed-loop system enables dynamic adaptation during operation while maintaining measurement precision through automated optimization based on actual performance feedback.
3Productivity
If a virtual sensor simulation is used to determine sensor setting, then the process becomes automated and time-efficient, but the virtual environment must accurately represent the real sensor conditions
Solution Approach 1:
The patent creates a detailed digital twin that accurately replicates the physical sensor's characteristics, measurement principles, and operating environment. By faithfully copying the real sensor system in the virtual environment, the simulation results can be reliably transferred to the physical sensor, maintaining reliability while achieving automated high-speed configuration.
Solution Approach 2:
The patent performs comprehensive sensor optimization in the virtual environment before physical deployment. The virtual sensor is configured and optimized in advance using realistic simulation conditions, ensuring that the pre-determined settings are reliable when transferred to the real sensor, thereby maintaining high productivity without sacrificing reliability.
Data Source
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AI summary
A method for determining a sensor setting, executed by means of a computing device, comprises defining a simulation model that includes a virtual test environment and at least one virtual sensor. The method further comprises initializing the virtual sensor with a sensor setting in the virtual test environment, wherein the sensor setting includes a sensor position, a sensor orientation, and/or at least one sensor parameter. The method further comprises evaluating virtual sensor data generated by the virtual sensor and associated with the sensor setting based on at least one evaluation metric, wherein the evaluation metric includes a detection range of the virtual sensor.The evaluation of the sensor data includes: determining whether the evaluation metric meets at least one predefined condition; if it does not, adjusting the virtual sensor setting and evaluating the virtual sensor data associated with the adjusted setting as described above; and if it does, outputting the sensor setting as the preferred setting from the computing device. The procedure further includes configuring a real sensor in a real application based on the preferred sensor setting.