Optical Waste Liquid Inspection for Adaptive Quality Classification
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Solution Overview
Problem
Existing waste liquid recycling methods lack efficient and adaptable systems to determine the quality of waste liquids, such as waste oil, due to varying influencing factors like water content and acid value, which complicates recycling specifications for different users and environments.
Innovation Solution
A method and apparatus utilizing optical inspection with image processing and statistical analysis to capture color characteristics, establish statistical criteria, and employ artificial intelligence for determining waste liquid quality, allowing for accurate classification regardless of location or user type.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple types of recycling specifications are developed to meet different user requirements, then the measurement precision of waste liquid quality is improved, but the device complexity and difficulty of operation increase
Solution Approach 1:
The patent establishes a universal quality evaluation model that can assess multiple waste liquid types (edible oil, lubricating oil, solvent) using the same optical inspection system and statistical criteria. The system performs multiple functions including quality classification, purity assessment, and compliance determination through a single integrated platform, eliminating the need for separate specialized systems for each waste liquid type.
Solution Approach 2:
The system dynamically adjusts evaluation parameters based on the detected waste liquid type and quality characteristics. By changing statistical thresholds and evaluation criteria according to the specific waste liquid category and its properties (such as color characteristics, water content, acid value), the system achieves precise quality determination across different types without requiring separate fixed specifications for each type.
2Reliability
If traditional monitoring systems with multiple sensors and continuous monitoring are used, then the reliability of waste liquid quality monitoring is improved, but the loss of energy and investment of manpower and material resources increase
Solution Approach 1:
The patent extracts the essential quality assessment function from complex multi-sensor monitoring systems and implements it through a single optical inspection device. By removing unnecessary sensors and continuous monitoring mechanisms, the system maintains reliable quality determination while significantly reducing energy consumption and operational complexity.
Solution Approach 2:
The system creates a digital copy of waste liquid quality characteristics through optical imaging and statistical analysis, replacing the need for physical continuous monitoring and multiple sensors. This virtual representation allows for reliable quality assessment without the energy and resource costs of traditional hardware-based continuous monitoring systems.
3Measurement precision
If traditional waste liquid monitoring systems are used, then the measurement of waste liquid quality is achieved, but the difficulty of detecting and measuring various quality factors increases
Solution Approach 1:
The patent utilizes color characteristic analysis as a key detection method for assessing waste liquid quality. By measuring optical properties such as color intensity, hue, and saturation, the system can infer multiple quality parameters including purity, water content, and contamination levels. This optical approach simplifies detection compared to traditional methods requiring multiple specialized sensors for different quality factors.
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 rapid and precise determination of waste liquid quality by capturing color characteristics, establishing statistical criteria, and using AI models to distinguish between qualified and unqualified waste liquids, enhancing recycling efficiency and accuracy.
Implementation Method 1
capturing an image of a waste liquid in a transparent pipeline
Implementation Method 2
capturing an image of a waste liquid in a transparent pipeline
Data Source
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AI summary
A method (3) and an apparatus for waste liquid recycling with optical inspection are provided. The method includes: (30): establishing a plurality of statistical criteria; (31): capturing an image of a waste liquid in a transparent pipeline; (32): performing image processing on the image of the waste liquid to obtain a plurality of characteristic data about a color characteristic; (33): performing statistical calculation processing on the plurality of characteristic data to obtain a plurality of statistical characteristic values; and (34): 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.