Infrared Spectrum Asphalt Detection Cloud Matching
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Solution Overview
Problem
Current methods for evaluating asphalt quality are time-consuming and cannot effectively identify the oil source and refinery of asphalt, leading to issues with quality stability, brand faking, blending, and mixing, which affect pavement performance.
Innovation Solution
A method using infrared spectrum big data analysis, involving the collection and comparison of infrared spectra with a Fourier infrared spectrometer, establishment of a database, and cloud-based matching calculations to quickly identify the oil source and refinery of asphalt, enabling real-time quality monitoring and early warning.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional penetration evaluation system is used to evaluate asphalt quality, then comprehensive quality assessment can be achieved, but the testing process takes 6-8 hours which is too time-consuming for construction site requirements
Solution Approach 1:
The patent replaces the traditional mechanical/physical testing system with an infrared spectrum analysis system. By using infrared spectroscopy to detect the chemical composition and molecular structure of asphalt, the system achieves comprehensive quality assessment in minutes rather than hours, resolving the contradiction between measurement precision and time consumption.
Solution Approach 2:
The patent changes the detection parameter from macroscopic physical properties (penetration, softening point, ductility) to microscopic molecular characteristics through infrared spectrum analysis. This parameter transformation enables rapid identification of oil sources and refineries while maintaining comprehensive quality evaluation capability.
2Ease of manufacture
If physical index tests are conducted under specific conditions, then standardized measurement can be achieved, but the tests cannot comprehensively and objectively evaluate asphalt quality, resulting in large differences in pavement performances
Solution Approach 1:
The patent transforms the detection parameter from macroscopic physical properties measured under specific conditions to microscopic molecular characteristics through infrared spectrum analysis. This enables comprehensive quality evaluation that objectively reflects actual pavement performance while maintaining standardized measurement procedures.
Solution Approach 2:
The patent introduces infrared spectrum data as an intermediary that bridges the gap between standardized laboratory testing and actual field performance. The spectral fingerprints provide a comprehensive chemical composition profile that correlates with pavement performance, resolving the disconnect between standardized tests and real-world results.
3Reliability
If traditional methods are used to identify asphalt origin, then brand verification can be attempted, but the methods cannot effectively identify oil sources and refineries, leading to brand faking and blending issues
Solution Approach 1:
The patent changes the identification parameter from macroscopic physical properties to microscopic molecular fingerprinting through infrared spectrum analysis. The unique spectral characteristics of different oil sources and refineries enable precise identification that cannot be achieved by traditional methods, effectively preventing brand faking and unauthorized blending.
Solution Approach 2:
The patent creates a digital copy or fingerprint of the asphalt's molecular structure through infrared spectrum analysis. These spectral fingerprints serve as unique identifiers for different oil sources and refineries, enabling reliable verification and tracing of asphalt origin without physical sampling or complex analysis.
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 method allows for rapid determination of the asphalt's oil source and quality stability within minutes, overcoming the limitations of traditional evaluation systems and preventing issues like brand faking and quality-related problems, thereby ensuring reliable data support for project managers.
Implementation Method 1
collecting infrared spectrum data of standard sample asphalt by adopting a Fourier infrared spectrometer
Implementation Method 2
the Fourier infrared spectrometer uses attenuated total reflection accessories to collect an infrared spectrogram of asphalt
Data Source
AI summary
A method for fast detecting pavement asphalt and early warning based on infrared spectrum data. Infrared spectrum data of standard sample asphalt is collected by adopting an infrared spectrometer, to establish an infrared spectrum database of standard sample asphalt. The infrared spectrum database of the standard sample asphalt and basic asphalt information is introduced into a cloud server through a spectrum input module. A database-matching calculation method and a threshold value is set through a spectrum-matching analysis module. The infrared spectrum data and engineering information of the tested asphalt is collected and uploaded to a cloud platform for storage. A matching calculation between the uploaded data and the spectrograms in the infrared spectrum database of the standard sample asphalt through the cloud server is conducted. An asphalt matching result is outputted to a display terminal. An early-warning message is pushed by the cloud server if a test result is not-match.