3D Object Analysis Using Spectral Mapping for Material Degradation
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Solution Overview
Problem
Current web mapping services and driver assistance systems lack detailed information on material properties and degradation states of objects, such as buildings and environments, which limits their accuracy and effectiveness in modeling and maintenance.
Innovation Solution
A device and method that utilize imaging sensors to detect image data points, assign spatial coordinates, and determine material properties by matching spectral information with a spectral library, enabling the generation of detailed three-dimensional models and improved surveillance of object states.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional imaging methods are used for object analysis, then the system complexity remains low, but the material property determination accuracy and detail level are insufficient
Solution Approach 1:
The patent combines multiple imaging sensors (spectral sensor, laser scanner, camera) into a single integrated device for analyzing objects. This merging approach enables simultaneous acquisition of spectral, geometric, and visual data, thereby improving material property determination accuracy while managing system complexity through unified hardware architecture and coordinated operation of multiple sensors
Solution Approach 2:
The analyzing device is designed with multi-functional capabilities to perform various analysis tasks including spectral analysis, geometric modeling, and material property determination. The device can analyze different types of objects (buildings, vegetation, terrain) and provide comprehensive information (three-dimensional models, material composition, degradation states), making it a universal solution that addresses multiple measurement needs simultaneously
2Loss of information
If detailed spectral analysis is performed to determine material properties, then the information completeness improves, but the analysis time increases
Solution Approach 1:
The system performs preliminary actions by pre-processing spectral data and pre-establishing reference spectral libraries for different materials. Spectral signatures of known materials are stored in advance, allowing the system to quickly compare measured spectra against these pre-prepared references. This preliminary preparation enables rapid material identification without requiring extensive real-time analysis, thus reducing analysis time while maintaining information completeness
Solution Approach 2:
The patent replaces traditional mechanical or manual analysis methods with automated spectral analysis and computer-based pattern recognition. The system uses algorithms to automatically compare spectral data with reference libraries and generate material property determinations, substituting manual inspection and mechanical measurement processes with electronic and computational methods that are both faster and more comprehensive
3Manufacturing precision
If comprehensive object analysis including spectral data is conducted, then the model detail level improves, but the processing complexity increases
Solution Approach 1:
The patent segments the complex analysis process into distinct functional modules: spectral data acquisition, geometric data acquisition, data integration, material property determination, and three-dimensional model generation. Each module handles a specific aspect of the analysis, processing data independently before integration. This segmentation reduces processing complexity by breaking down the overall complex task into manageable, specialized sub-tasks that can be processed in parallel or sequence
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
The solution provides highly accurate and detailed three-dimensional models, enhances material property determination, and facilitates efficient maintenance by identifying degradation states, contamination, and coverage levels, improving navigation and reducing maintenance costs.
Implementation Method 1
measured radiation signals originating from or reflected by the object
Implementation Method 2
spectral information obtained from the measured radiation signals
Data Source
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AI summary
A device and a method for analyzing objects, including buildings, build environments and/or environment areas is proposed. Image data points of an object are gathered and geo-referenced in order to generate object data points. Properties of the object such as material composition, material state or material properties are determined based spectral characteristics evaluation. Three-dimensional object models are generated in accordance with the evaluation of spectral characteristics.