Concrete Quality Testing Using LIDAR 3D Imaging
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Solution Overview
Problem
The existing methods for evaluating the quality of exposed concrete surfaces for classes SB1 to SB4 are subjective, prone to errors due to manual inspection and varying lighting conditions, leading to inconsistent classifications and inefficiencies in assessing structural parameters.
Innovation Solution
A computer-aided method using a LIDAR sensor to create a three-dimensional image of the concrete surface, combined with a photo camera for color information, which processes surface and deep structure data to objectively classify the concrete based on predefined structural parameters, employing a machine learning model for accurate assignment to exposed concrete classes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual visual inspection is used to assess exposed concrete quality, then the method is simple and requires minimal equipment, but the classification is subjective and inconsistent due to varying lighting conditions and human error
Solution Approach 1:
The patent replaces manual visual inspection with an automated optical measurement system consisting of a camera, illumination device, and image processing unit. This substitution eliminates subjective human assessment and varying lighting conditions by using controlled artificial illumination and automated image analysis, thereby improving measurement precision while accepting increased device complexity
Solution Approach 2:
The patent introduces an intermediary image processing system that captures optical images of the concrete surface and compares them against reference images stored in a database. This intermediary system acts as a mediator between the physical concrete surface and the final quality classification, enabling objective and consistent assessment through automated image analysis algorithms
2Reliability
If automated optical measurement system is implemented, then classification accuracy and objectivity are improved, but the device complexity and cost increase
Solution Approach 1:
The patent designs a multi-functional measurement system where a single integrated device performs multiple functions: capturing surface images, providing controlled illumination, storing reference data, and executing classification algorithms. This universal system improves reliability by consolidating all necessary functions into one coherent platform, making the complex system more manageable and deployable
Solution Approach 2:
The patent implements preliminary action by pre-storing reference images of concrete surfaces with known quality characteristics in a database before actual measurement. This pre-prepared reference data enables the system to immediately compare and classify new measurements without requiring real-time complex analysis, thereby improving reliability while managing device complexity through offline preparation
3Measurement precision
If detailed structural parameter analysis is performed, then measurement precision is improved, but the time required for assessment increases
Solution Approach 1:
The patent applies partial action by focusing the measurement system on specific critical surface parameters (such as surface texture, color uniformity, and defect detection) rather than attempting to measure all possible concrete properties. This selective approach maintains high measurement precision for the most important quality indicators while reducing overall assessment time and improving productivity
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
This approach enables a fast, objective, and accurate classification of exposed concrete surfaces, reducing human error and inconsistencies, and providing a reliable assessment of texture, porosity, evenness, and color uniformity, thus improving the reproducibility and efficiency of quality testing.
Implementation Method 1
The point cloud is created by a LIDAR sensor (laser) by means of distance measurement by means of time of flight
Implementation Method 2
the outer surface of the concrete component is at least partially detected by an optical measuring device
Data Source
Figure 1~3
AI summary
The invention relates to a computer-assisted method and an electronic device for testing the quality of exposed concrete of a concrete component (1) with regard to an exposed concrete class (SB1 - SB4), said device comprising an optical measuring device (3) for detecting at least one representative part of the outer surface (2), said optical measuring device (3) creating a three-dimensional image (4) of at least one part of the outer surface (2) by means of preferably an optical measuring device (3) comprising an LID AR sensor (5). An image-processing unit (7) reads out surface and depth structure information from said optical measuring device. An analysis unit (8) compares this information with surface and depth structure information that is characteristic of exposed concrete classes (SB1 - SB4) and that is stored in a pattern database (9) in order to assign the concrete component (1) to one of the exposed concrete classes (SB1 - SB4) so that a display unit (10) can output the results.