Yarn Spindle Screening With Selective Physical Attribute Detection
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Solution Overview
Problem
In the automatic packaging of yarn spindles, efficient detection solutions are needed to improve production efficiency by distinguishing normal from abnormal yarn spindles based on appearance and physical attributes, as current methods are inefficient and prone to mixing abnormal spindles during packaging.
Innovation Solution
A control method and apparatus that detect the appearance features of yarn spindles using a target detection model and determine if physical attribute features need to be detected based on preset requirements, allowing for selective physical attribute detection only when appearance features do not meet specified criteria, thereby improving detection efficiency and preventing abnormal spindles from being packaged.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If physical attribute detection is performed on every yarn spindle, then detection accuracy is improved, but production efficiency deteriorates
Solution Approach 1:
The patent applies partial action by performing physical attribute detection only on yarn spindles that fail the appearance detection, rather than on all spindles. The system first conducts appearance detection on every spindle, then selectively performs physical attribute detection only when appearance defects are detected, thereby reducing overall detection operations while maintaining quality control accuracy
Solution Approach 2:
The detection process is segmented into two stages: appearance detection for all spindles, followed by conditional physical attribute detection only for spindles with appearance defects. This segmentation allows the system to maintain high detection accuracy for problematic spindles while avoiding unnecessary detection operations on normal spindles, thus resolving the contradiction between accuracy and efficiency
2Productivity
If appearance detection is performed on all yarn spindles, then detection efficiency is improved, but device complexity increases
Solution Approach 1:
The appearance detection system serves multiple functions: it acts as a primary screening mechanism for all spindles, identifies candidates for further physical attribute detection, and reduces the workload of physical detection by filtering out normal spindles. This multi-functionality justifies the added complexity by significantly improving overall detection efficiency
Solution Approach 2:
Appearance detection serves as an intermediary step between initial spindle processing and physical attribute detection. It mediates the workflow by identifying which spindles require further physical inspection, thereby optimizing the distribution of detection resources and improving overall system efficiency
Data Source
AI summary
Provided is a control method, an electronic device and a storage medium. The method comprises: when determining that a yarn spindle transported on a transport channel enters a detection area, detecting the yarn spindle located in the detection area to obtain an appearance feature of the detected yarn spindle; wherein the transport channel is a channel for transporting yarn spindles in an automatic packaging workshop; and the detection area is at least a partial area on the transport channel; when the appearance feature of the detected yarn spindle does not meet a first preset requirement, determining the yarn spindle with the appearance feature not meeting the first preset requirement as a target yarn spindle; and detecting a physical attribute feature of the target yarn spindle.