Single-Radar Wall Diagnostic Device for Object Classification
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Solution Overview
Problem
Existing wall diagnostic devices rely on multiple sensors for object recognition and classification, which increases complexity and cost, and often require user input for wall type identification.
Innovation Solution
A method for operating a wall diagnostic device using a radar sensor unit that performs object recognition and classification solely based on radar data, eliminating the need for additional sensors and automatically determining wall type from radar data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple sensors are used for object recognition and classification, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The radar sensor unit is configured to perform multiple functions including object detection, object classification, and wall type identification using a single sensor system, eliminating the need for multiple specialized sensors while maintaining diagnostic accuracy
Solution Approach 2:
The diagnostic module analyzes different parameters from the radar data (reflection patterns, signal characteristics, depth information) to enable both object recognition and wall type classification using the same sensor, transforming single-sensor data into multiple diagnostic outputs
2Measurement precision
If additional sensors are added for comprehensive wall diagnostics, then measurement precision is improved, but manufacturing cost increases
Solution Approach 1:
The single radar sensor unit is designed to provide comprehensive wall diagnostics including object detection, classification, and wall type identification, replacing what would traditionally require multiple specialized sensors and reducing manufacturing costs
Solution Approach 2:
The radar sensor unit and diagnostic module work together to automatically perform multiple diagnostic functions without requiring additional sensors or complex hardware additions, making the system more manufacturable
3Adaptability or versatility
If user input is required for wall type identification, then adaptability is improved, but ease of operation decreases
Solution Approach 1:
The diagnostic module automatically identifies wall types by analyzing radar reflection patterns and signal characteristics, eliminating the need for manual user input while adapting to different wall types through automated classification algorithms
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 efficient and precise wall diagnostics with automated object detection, classification, and wall type identification, reducing complexity and cost while providing comprehensive diagnostic results.
Implementation Method 1
receiving radar data from a radar sensor unit of the measuring device
Data Source
AI summary
A computer-implemented method for operating a measuring device, in particular a wall diagnostic device, includes receiving radar data of a radar sensor unit of the measuring device, the radar data depicting a wall to be diagnosed, and performing wall diagnostics by performing an analysis of the radar data and providing diagnostic results with a diagnostic module of the measuring device. The wall diagnostics includes performing an object recognition of an object disposed in the wall using the diagnostic module, the object recognition including object detection and object classification. The wall diagnostics further includes providing the diagnostic results from the diagnostic module to a display unit of the measuring device for displaying the diagnostic results to a user of the measuring device, wherein the diagnostic results include at least one object position in the wall and an object type of the object.