Paver Thermal Profile Segregation Detection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional quality control systems for asphalt paving fail to accurately identify the root cause of temperature deviations and thermal segregation in paving materials, relying on operator experience rather than systematic analysis, leading to inconsistent pavement quality.
Innovation Solution
An apparatus and method that analyze thermal profiles of paving areas using infrared cameras, identifying segregated spots and temperature deviations to provide real-time error indications and corrective instructions to operators, independent of their experience, ensuring consistent and optimal paving conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If manual control measurements are used by support and operating staff, then flexibility and adaptability to varying conditions are maintained, but measurement precision and consistency of quality control deteriorate
Solution Approach 1:
The patent replaces manual mechanical temperature measurement methods with an automated optical measurement system using infrared cameras. This substitution eliminates human error and subjectivity while maintaining the ability to adapt to varying paving conditions through automated data analysis and real-time feedback mechanisms.
Solution Approach 2:
The system implements continuous feedback by measuring temperature profiles, comparing them against reference profiles, and providing real-time guidance to operators. This closed-loop feedback ensures both precision in measurement and adaptability to changing conditions through automated adjustments.
2Measurement precision
If automated thermal analysis systems are implemented, then measurement precision and consistency are improved, but device complexity increases
Solution Approach 1:
The system achieves multiple functions using a single integrated platform: infrared temperature measurement, profile generation, deviation detection, and operator guidance. This multi-functionality reduces the need for separate devices and procedures, thereby limiting complexity growth despite the advanced capabilities provided.
Solution Approach 2:
The system performs self-analysis by automatically comparing measured temperature profiles against reference profiles and generating guidance instructions without requiring complex manual intervention. This self-service capability simplifies the operational complexity while maintaining high measurement precision.
3Manufacturing precision
If real-time thermal profile analysis is performed to detect segregated spots, then manufacturing precision of pavement quality is improved, but loss of time in data processing increases
Solution Approach 1:
The system performs preliminary actions by continuously measuring and analyzing temperature profiles in real-time during the paving process. This allows for immediate detection of thermal segregation and provides instant guidance to operators, preventing quality issues before they propagate and eliminating post-processing delays.
Solution Approach 2:
The temperature monitoring and analysis operates continuously throughout the paving process without interruption. This continuous action ensures constant quality control and eliminates downtime associated with periodic sampling or batch processing, maintaining both precision and efficiency.
4Ease of operation
If manual operator experience is relied upon for quality control, then ease of operation is maintained, but reliability of quality control deteriorates
Solution Approach 1:
The system performs self-diagnosis and self-guidance by automatically detecting temperature deviations and generating correction instructions. This eliminates the need for operators to possess specialized expertise while ensuring consistent, reliable quality control through objective automated measurements and decision-support.
Solution Approach 2:
The automated feedback mechanism provides real-time, objective guidance based on precise thermal measurements, replacing subjective operator judgment. This ensures reliable and consistent quality control decisions while maintaining ease of operation through simple follow-the-instructions operation.
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 enhances pavement quality by automatically interpreting thermal data, providing real-time alerts and adjustments, thereby reducing segregation issues and ensuring consistent temperature profiles across the paving area.
Implementation Method 1
receiving at least one thermal profile of a portion of the paving area... The thermal profile comprises a plurality of temperature values
Implementation Method 2
Known systems measure for this purpose the laying temperature behind the paver, in particular behind the screed. A plurality of conventional approaches are present which are based on thermography.
Data Source
AI summary
A method for controlling a quality of a paving material distributed along a paving area using a paver includes: receiving a thermal profile of a portion of the paving area in which the paving material is distributed, and the thermal profile includes a plurality of temperature values of respective measurement points, and analyzing the thermal profile to detect segregation spots of the paving material within the portion. Analyzing includes determining a first zone of measurement points arranged adjacent to each other and having temperature values within a predetermined range, the first zone being at least partially surrounded by measurement points having temperature values out of the predetermined range, and analyzing an orientation of the first zone with respect to a travel direction of the paver. The last substep of analyzing is assigning an indication, in particular an error indication, to the portion based on the analyzing of the orientation.