Radar-Based Wall Measuring Device for Object Classification
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Solution Overview
Problem
Existing wall diagnostic devices rely on additional information beyond radar data for object recognition and classification, which complicates the diagnostic process and may lead to inaccurate results due to varying wall types.
Innovation Solution
A measuring device equipped with a radar sensor unit, diagnostic module, and display unit that performs object detection and classification solely based on radar data, including object position, type, depth, and extension, with optional integration of additional sensors for enhanced precision.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If additional sensors and measurement variables are used for object recognition, then measurement precision may improve, but device complexity increases
Solution Approach 1:
The patent extracts and isolates the radar sensor unit as the sole measurement tool for object detection and classification. By removing the need for additional sensors and measurement variables, the system achieves accurate object recognition while maintaining simplicity. The radar data is processed independently to determine both object presence and classification, eliminating the complexity of integrating multiple sensor types.
2Reliability
If additional information from multiple sensors is required for diagnostics, then reliability may improve, but ease of operation deteriorates
Solution Approach 1:
The radar sensor unit performs multiple functions independently - detecting objects, determining their positions, and classifying them without requiring data from external sensors. The system is self-sufficient, processing radar data through the diagnostic module to generate complete diagnostic results. This self-service capability maintains reliability while ensuring ease of operation, as users only need to operate a single sensor system.
3Adaptability or versatility
If wall type variations are considered in object classification, then adaptability improves, but device complexity increases
Solution Approach 1:
The patent adapts the object classification process by changing the parameters used for classification based on detected wall types. The diagnostic module analyzes radar data to identify wall characteristics and adjusts classification parameters accordingly. This allows the system to accommodate different wall types (e.g., plaster, brick, concrete) without adding physical complexity, as the adaptation is achieved through software-based parameter adjustment rather than hardware modifications.
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 precise and unambiguous object detection and classification in walls, providing comprehensive diagnostic results without the need for additional information, and allowing for accurate determination of object depth and type, even with varying wall types.
Implementation Method 1
at least one radar sensor unit for providing radar data of a wall for which diagnostics are to be performed
Implementation Method 2
radar signals reflected at the front of the wall can be received
Data Source
AI summary
A measuring device, in particular a diagnostic device for walls, includes at least one radar sensor unit for providing radar data of a wall for which diagnostics are to be performed, a diagnostic module for performing wall diagnostics based on the radar data and for generating diagnostic results, and a display unit for displaying the diagnostic results to a user of the measuring device. The diagnostic module is configured to detect an object formed in the wall based on the radar data, wherein the object detection comprises a determination of an object position and a classification of an object type for the object.