PCB Connector DFM Detection for Orientation and Position Errors
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Solution Overview
Problem
Traditional manual detection methods for connector direction and position on PCB boards are highly dependent on individual habits and styles, leading to low detection accuracy due to negligence and omissions.
Innovation Solution
A method and apparatus for circuit board detection that automatically checks multiple DFM abnormality types based on position information of board boundaries and preset cable boundary information, reducing negligence and improving accuracy by identifying orientation, absolute, and relative position abnormalities of connectors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual detection methods are used for connector direction and position, then the detection process is simple and flexible, but detection accuracy deteriorates due to dependence on individual habits and styles
Solution Approach 1:
The patent replaces manual mechanical detection with an automated computer-based detection system. The system automatically obtains board boundary position information and cable boundary information, then processes this data to detect connector abnormalities, eliminating dependence on individual detector habits and styles while maintaining systematic and repeatable detection results.
Solution Approach 2:
The detection system performs self-service by automatically obtaining detection data from the circuit board design files, processing the position information, and generating detection results without requiring manual intervention. The system autonomously completes the entire detection process from data acquisition to abnormality identification.
2Reliability
If manual detection is used, then the detection process is flexible and adaptable, but detection reliability deteriorates due to negligence and omissions
Solution Approach 1:
The automated detection system ensures continuous and uninterrupted detection by systematically processing all connectors on the circuit board without human intervention. The system maintains consistent detection criteria and processes all detection items (connector direction, absolute position, relative position) continuously, eliminating the negligence and omissions that occur in manual detection.
Solution Approach 2:
The system incorporates feedback mechanisms by automatically generating detection results and abnormality reports based on the processed position information. The detection system compares actual connector positions against predefined standards and provides immediate feedback on abnormalities, ensuring reliable detection without human error.
3Measurement precision
If automated detection based on position information is implemented, then detection accuracy improves by eliminating human error, but device complexity increases
Solution Approach 1:
The detection system segments the detection process into distinct functional modules: obtaining board boundary position information, obtaining cable boundary information, processing this information to detect abnormalities, and generating detection results. Each module handles a specific aspect of detection, making the complex automated system manageable and maintainable while achieving high detection accuracy.
Data Source
AI summary
The present disclosure relates to a method and apparatus for circuit board detection, a computer device, a storage medium, and a program product. The method includes: receiving a detection instruction; obtaining position information of board boundary corresponding to the at least one connector and preset cable boundary information corresponding to the at least one connector; detecting the at least one connector according to the position information corresponding to the board boundary of the at least one connector and the preset cable boundary information corresponding to the at least one connector to determine detection results of multiple detection items corresponding to the at least one connector, each detection item corresponding to a DFM abnormality type of connector; and determining a target detection result of the at least one connector according to the detection results of the multiple detection items corresponding to the at least one connector.