Method for identifying washing quality of feather material
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Solution Overview
Problem
Current methods for determining the washing quality of feather materials are subjective and lack consistency, relying on human observation and visual assessment of water turbidity, which is inefficient and resource-intensive.
Innovation Solution
A method and device that automate the determination of washing quality by using a sampling unit, an impurity removing module, and a laser sensing device to assess the transparency of a water sample, providing consistent and objective results.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If visual inspection by human operators is used to assess water turbidity, then the inspection method is easy to perform, but the determination is highly subjective and lacks consistency
Solution Approach 1:
The patent replaces the human visual inspection system with an automated optical detection system. A light source emits light through the water sample, and a photodetector measures the transmitted light intensity. This substitution eliminates subjective human judgment while maintaining operational simplicity, achieving both ease of operation and measurement precision through objective optical measurement of water turbidity.
2Measurement precision
If automated laser sensing is used to measure water transparency, then consistent and objective results are achieved, but the device complexity increases
Solution Approach 1:
The patent extracts only the essential measurement function from a complex analytical system. Instead of using sophisticated multi-parameter water quality analyzers, it isolates the key indicator (water transparency) and measures it directly using a simple light transmission setup. This extraction approach achieves consistent objective results while minimizing device complexity by focusing on a single critical measurement parameter.
Solution Approach 2:
The patent changes the measurement parameter from complex chemical or biological water quality indicators to a simple optical parameter (light transmission intensity). By measuring water transparency through light absorption by suspended particles, the system achieves precise automated determination with minimal device complexity, as optical measurement is inherently more straightforward than chemical analysis.
3Reliability
If traditional washing quality checking is performed to ensure meeting requirements, then washing quality is controlled, but a lot of labor and operational cost are required
Solution Approach 1:
The patent implements a self-service quality control system where the automated optical measurement device independently assesses water turbidity and determines washing quality without human intervention. The system automatically compares measured transparency values against predetermined standards and provides objective pass/fail determination. This self-service approach maintains reliable washing quality control while eliminating labor costs associated with manual inspection.
4Reliability
If excessive washing is performed to ensure feather material cleanliness, then washing quality is improved, but damage to feather material increases
Solution Approach 1:
The patent implements a feedback control mechanism where the automated optical measurement system continuously monitors water turbidity during the washing process. When the measured transparency indicates that washing quality has reached the required standard, the system provides feedback to stop further washing. This feedback loop ensures adequate cleanliness while preventing excessive washing that would damage the feather material, optimizing the balance between quality and material preservation.
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 solution enables consistent and automated determination of washing quality, reducing labor and operational costs, minimizing feather material damage, and optimizing water and energy consumption.
Implementation Method 1
driving a laser sensing device to sense, while the water sample is static in the water sample inspection area, a transparency value of a portion of the water sample that extends across a predetermined distance
Data Source
AI summary
A method and device for identifying the washing quality of a feather material are applied to a feather material washing apparatus and essentially entail: a sampling unit that takes an appropriate amount of the water discharged from the feather material washing apparatus as a water sample, an impurity removing module that removes feather fiber and impurities that may compromise inspection accuracy, and a laser sensing device that senses, while the water sample is static, a transparency value of a portion of the water sample that extends across a predetermined distance, in order to identify the washing quality of a washed feather material. The method and device for identifying the washing quality of a feather material exercise intelligent judgment to enable a consistent standard, to ensure the efficiency and quality of a feather material washing procedure, and to reduce the associated costs.