Thermographic Module for Pavers Deviation Detection
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Solution Overview
Problem
Existing temperature measurement systems for pavements laid by pavers are prone to errors due to incorrect detection of local temperature deviations, which can be caused by segregation, foreign objects, or device malfunctions, leading to inefficient quality control and increased costs.
Innovation Solution
A system comprising a temperature measurement device and an image recording unit that continuously detects temperature values and determines deviation areas based on predefined criteria, generating images for documentation and subsequent improvement, with an evaluation unit configured for real-time processing and geopositioning to identify and track imperfections.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If temperature measurement is performed continuously over the entire pavement area, then measurement precision is improved, but loss of time and processing complexity increase
Solution Approach 1:
The system applies local quality by focusing measurement and documentation resources on specific deviation areas rather than uniformly processing the entire pavement surface. The evaluation unit identifies localized temperature anomalies and triggers image recording only for these specific areas, thereby maintaining measurement precision where needed while reducing overall processing time and resource consumption.
Solution Approach 2:
The pavement surface is segmented into normal areas and deviation areas based on temperature analysis. Instead of treating the entire surface uniformly, the system divides the monitoring scope into relevant deviation regions that require documentation and review, thereby reducing the time and computational resources needed for quality control while maintaining comprehensive monitoring coverage.
2Loss of information
If image recording is performed for all temperature deviations, then documentation completeness is improved, but device complexity and data processing burden increase
Solution Approach 1:
Image recording is applied selectively only to deviation areas that meet specific temperature criteria, rather than uniformly to all measured areas. This localized approach ensures that documentation is complete for all problematic areas while avoiding the unnecessary complexity and data burden of recording images from normal, non-deviating regions.
3Device complexity
If manual temperature checking is performed, then device complexity is reduced, but measurement precision and productivity decrease
Solution Approach 1:
The system enables self-service quality control by automatically detecting temperature deviations, determining deviation areas, and triggering image recording without requiring continuous manual intervention. The evaluation unit autonomously processes temperature data and identifies problematic regions, thereby maintaining simple operational procedures while significantly improving measurement precision and paving process 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
The system reduces errors and improves quality control by allowing for targeted examination and documentation of temperature deviations, reducing time and costs associated with quality improvements, and enabling precise identification of problematic areas.
Implementation Method 1
a temperature measurement device for continuously detecting temperature values of a pavement laid by means of a paver
Data Source
AI summary
A system comprising a temperature measurement device for continuously detecting temperature values of a pavement laid by means of a paver. The system further comprises an image recording unit and an evaluation unit. The evaluation unit is configured to determine an area of the laid pavement as a deviation area, if, based on temperature values detected for the area, one or more deviation criteria are fulfilled, wherein the determination is carried out during laying and in temporal proximity to the detection of the temperature values for the area. The system is additionally configured to generate, making use of the image recording unit, an image assigned to the deviation area.