Radar-Based Wall Diagnosis With Automated Object Recognition

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Solution Overview

Problem

Existing wall diagnostic devices require additional sensor information for determining wall type and object type, necessitating manual user input and lacking comprehensive feedback for improving diagnostic accuracy.

Innovation Solution

A method for operating a wall diagnostic device that utilizes radar data for wall type classification and object recognition, with feedback information to enhance diagnostic module performance, and optionally incorporates additional sensors for precision.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If additional sensors are used to determine wall type and object type, then measurement precision is improved, but device complexity increases

Engineering Contradiction:
Improvewall type determination accuracyVSAvoidsensor quantity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The radar sensor unit is configured to perform multiple functions: it detects both wall type characteristics and object type characteristics using the same sensor, eliminating the need for additional specialized sensors while maintaining comprehensive diagnostic capabilities

Inventive Principle:
Principle #6Universality (Multi-functionality)

Solution Approach 2:

The diagnostic module automatically determines wall type and object type from radar data without requiring manual user input or additional sensor information, making the system self-sufficient in gathering all necessary diagnostic data

Inventive Principle:
Principle #25Self-service

2Ease of operation

If manual user input is required for wall type determination, then ease of operation is maintained, but productivity decreases

Engineering Contradiction:
Improveuser input requirementVSAvoiddiagnosis speed
Core Design Contradiction:
Ease of operationVSProductivity

Solution Approach 1:

The diagnostic module automatically determines wall type and object type from radar data without requiring manual user input, making the system self-sufficient and eliminating time-consuming manual entry while maintaining ease of use through automated intelligence

Inventive Principle:
Principle #25Self-service

3Reliability

If feedback information is collected and used for module updates, then reliability is improved, but loss of time increases

Engineering Contradiction:
Improvediagnostic accuracyVSAvoidfeedback processing time
Core Design Contradiction:
ReliabilityVSLoss of time

Solution Approach 1:

The system determines feedback information describing correspondence between diagnostic results and current wall state, which can be used to update the diagnostic module for improved accuracy while maintaining efficient operation through automated feedback processing

Inventive Principle:
Principle #23Feedback

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 accurate and automated wall type and object detection without additional sensors, allowing for improved diagnostic quality and user feedback for module updates.

Implementation Method 1

Receiving radar data from a radar sensor unit of the measuring device

Methodology Applied
Scientific EffectRadar: Radar

Data Source

PatentEP4617708A1Method for operating a measuring device
Publication Date: 2025.09.17 ROBERT BOSCH GMBH
  • EP4617708A1 patent drawingFigure 1
  • EP4617708A1 patent drawingFigure 2
  • EP4617708A1 patent drawingFigure 3

AI summary

The invention relates to a computer-implemented method (200) for operating a measuring device (100), in particular a wall diagnostic device, comprising: receiving (201) radar data (103) from a radar sensor unit (101) of the measuring device (100); performing (203) a wall diagnosis by performing an analysis of the radar data (103) and providing diagnostic results (109) by a diagnostic module (107) of the measuring device (100); determining (209) feedback information (112).