Vibratory Roller Sensor System for Real-Time Asphalt Density Prediction
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Solution Overview
Problem
Current methods for determining the compacted density of asphalt mats during the paving process are cumbersome, time-consuming, and lack precision, making it difficult to ensure target density is achieved across the entire pavement surface, leading to potential cost overruns due to the need for extensive and costly grid-based measurements.
Innovation Solution
A method and apparatus using a vibratory roller with integrated sensors and a neural network-based system to predict asphalt mat density by analyzing vibration characteristics, correlating sensor data with density measurements, and adjusting compaction parameters in real-time to optimize energy transfer and density estimation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If grid-based density measurements are taken at a large number of points to ensure accurate density assessment, then measurement precision is improved, but productivity deteriorates due to the time-consuming and costly nature of extensive measurements
Solution Approach 1:
The patent replaces the mechanical/cumbersome grid-based density measurement system with a vibratory sensor-based detection system. The sensor mounted on the roller detects vibrations and signals related to density, eliminating the need for physical core samples and laboratory analysis, thereby maintaining measurement precision while dramatically improving productivity
Solution Approach 2:
The patent introduces an intermediary detection system (vibratory sensor) that indirectly measures density by detecting vibrations and signals from the roller-mat interaction. This intermediary approach allows continuous real-time density assessment without the need for direct physical sampling at multiple grid points, resolving the contradiction between measurement accuracy and construction efficiency
2Productivity
If one density reading per 1000 linear feet is taken to reduce measurement time and cost, then productivity is improved, but measurement precision deteriorates as this sparse sampling is not indicative of overall compaction
Solution Approach 1:
The patent implements continuous density monitoring through a sensor mounted on the roller that continuously detects vibrations and signals during the compaction process. This continuous measurement approach provides constant feedback on compaction quality throughout the entire paving operation, ensuring measurement precision while maintaining high productivity without sparse sampling limitations
3Ease of operation
If vibratory response of the compactor is used to predict material properties, then ease of operation is improved, but measurement precision deteriorates as this method attempts to control compaction parameters rather than estimate density
Solution Approach 1:
The patent implements a feedback system where the sensor detects vibrations and signals from the roller-mat interaction, and this information is fed back to provide real-time density estimation. The system processes the vibratory signals to directly estimate compaction density, maintaining ease of operation while achieving measurement precision through proper signal interpretation and density correlation
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 real-time prediction of asphalt mat density with improved accuracy, reducing the need for extensive measurements and minimizing cost overruns by providing a more efficient and precise monitoring system for ensuring optimal compaction across the entire pavement surface.
Implementation Method 1
applying a vibratory energy to a first section of the material with a roller at a predetermined frequency and amplitude
Implementation Method 2
The vibration characteristics of the roller are measured and a signal representing the vibratory characteristics of the roller is produced
Data Source
AI summary
A method and apparatus for predicting the quality of compaction of beds of material with a vibratory device as a function of the vibration of the compaction device, the material of the bed, the lift thickness, the temperature, among other process parameters is described in this invention. The vibration of the compacting device during the compaction of the bed is compared with the vibration characteristics of the compacting device on a bed of known properties. The quality of compaction of the bed is then estimated based on the knowledge of the process parameters. The output of the apparatus may be used as a visual input to the operator of the compacting device or stored in an electronic format to depict the progress during the compaction process.