Optical Waste Liquid Inspection for Accurate Recycling Grading
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Solution Overview
Problem
Existing waste liquid recycling methods lack efficient and standardized processes for determining the quality of waste liquids, such as waste oil, due to varying influencing factors like water content and acid value, which affect recycling specifications and pricing accuracy.
Innovation Solution
A method and apparatus utilizing optical inspection with image capturing and processing, establishing statistical criteria, and employing artificial intelligence to determine waste liquid quality based on color characteristics, enabling adaptable recycling specifications across different areas and countries.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional quality determination methods are used for waste liquid recycling, then the process is simple to operate, but the measurement precision and reliability of quality assessment is insufficient
Solution Approach 1:
The patent replaces traditional mechanical/chemical quality inspection methods with an optical inspection system that uses image capturing devices and color space analysis. The system captures images of waste liquid in transparent pipelines and processes them through color space transformations (RGB, HSV, LAB) to extract quality parameters, eliminating the need for complex laboratory analysis while improving measurement precision.
Solution Approach 2:
The patent transforms physical quality parameters of waste liquid (water content, acid value, residues) into optical parameters through color space analysis. By converting images into different color spaces and calculating statistical characteristics (mean, standard deviation, skewness, kurtosis), the system changes the measurement parameters from chemical composition to optical properties, enabling non-intrusive quality assessment.
2Adaptability or versatility
If a single recycling specification is established, then the system is easy to manage, but it cannot meet the requirements of different types of users with varying quality needs
Solution Approach 1:
The patent creates a universal quality assessment system that can serve multiple user types and recycling scenarios through a single integrated platform. The system establishes multiple statistical criteria (first, second, third criteria) that can be selectively applied based on user requirements, allowing one system to fulfill diverse recycling specifications for different waste liquid types and applications.
Solution Approach 2:
The patent implements dynamic specification selection where the appropriate statistical criteria are chosen based on the specific waste liquid type and user requirements. The system can switch between different quality determination criteria (e.g., different color space analyses or statistical thresholds) to adapt to varying recycling standards, making the specification system flexible rather than static.
3Reliability
If comprehensive quality inspection is performed on all waste liquid parameters, then the reliability of quality determination is improved, but the productivity and speed of recycling process decreases
Solution Approach 1:
The patent performs preliminary quality assessment by analyzing color characteristics of waste liquid as it passes through transparent pipelines during normal flow. The image capturing device continuously monitors the liquid, and statistical criteria are pre-established to enable rapid quality determination without stopping the recycling process, maintaining high productivity while ensuring reliable quality control.
Solution Approach 2:
The patent extracts only the most critical quality indicators from comprehensive analysis by focusing on color characteristics in specific color spaces. Instead of analyzing all possible parameters, the system selectively extracts optical parameters (color mean, standard deviation, skewness) that correlate with quality metrics, reducing analysis time while maintaining assessment reliability.
4Adaptability or versatility
If multiple statistical criteria are established for different user requirements, then the adaptability to different users is improved, but the difficulty of detecting and measuring quality increases
Solution Approach 1:
The patent segments the quality assessment process into distinct statistical criteria (first, second, third criteria) that can be independently applied based on user needs. Each criterion focuses on specific statistical parameters (e.g., mean and standard deviation for one criterion, skewness and kurtosis for another), dividing the complex measurement task into manageable segments that reduce detection difficulty while maintaining adaptability.
Solution Approach 2:
The patent analyzes waste liquid quality across multiple color space dimensions (RGB, HSV, LAB) and statistical dimensions (mean, standard deviation, skewness, kurtosis). By transforming the problem into different dimensional spaces, the system makes quality parameters more detectable and measurable, converting complex chemical composition analysis into simpler optical parameter measurement.
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
Accurately and efficiently determines waste liquid quality by capturing and analyzing color characteristics, allowing for precise recycling specifications and pricing, even in diverse environments.
Implementation Method 1
capturing an image of a waste liquid in a transparent pipeline
Implementation Method 2
performing image processing on the image of the waste liquid to obtain a plurality of characteristic data about a color characteristic
Data Source
AI summary
A method and an apparatus for waste liquid recycling with optical inspection are provided. The method includes: establishing a plurality of statistical criteria; capturing an image of a waste liquid in a transparent pipeline; performing image processing on the image of the waste liquid to obtain a plurality of characteristic data about a color characteristic; performing statistical calculation processing on the plurality of characteristic data to obtain a plurality of statistical characteristic values; and selecting at least one statistical criterion from the plurality of statistical criteria to compare with the statistical characteristic values so as to determine the quality of the waste liquid.