Dual-Probe PCBA Testing for Accurate Electrical Signal Measurement
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Solution Overview
Problem
The existing electrical signal measurement process for printed circuit board assemblies (PCBAs) is cumbersome, inefficient, and prone to human error due to the use of high-precision, complex instruments and subjective staff variations, leading to low accuracy and reliability in test results.
Innovation Solution
An automatic test method and device utilizing a dual-probe mechanism with LCR and high-frequency probes, combined with a detection mechanism and feeding mechanism, to automate signal measurement and analysis, including automatic probe switching and data processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual measurement processes are used with high-precision instruments, then measurement accuracy is improved, but measurement efficiency and productivity deteriorate
Solution Approach 1:
The patent replaces manual mechanical measurement operations with an automated testing system that uses a probe to contact the PCBA and automatically acquire electrical signal data. The system substitutes human operators with automated control mechanisms, achieving both high measurement accuracy through precise probe positioning and high efficiency through automated data acquisition and analysis without manual intervention.
2Adaptability or versatility
If manual operation of measuring instruments is used, then flexibility in handling various electrical signals is improved, but operation complexity and skill requirements worsen
Solution Approach 1:
The patent implements a universal testing system that can handle multiple types of electrical signals (analog, digital, RF, etc.) through a single integrated platform. The system uses a standardized probe interface and automated signal recognition algorithms that automatically adapt to different signal types, eliminating the need for operators to master multiple specialized instruments and procedures while maintaining versatility across all signal categories.
Solution Approach 2:
The system incorporates automated signal type detection and configuration selection that performs the adaptation function without human intervention. When a probe contacts the PCBA, the system automatically identifies the electrical signal characteristics and selects the appropriate measurement parameters and analysis methods, making the system self-adapting and eliminating complex manual configuration requirements.
3Adaptability or versatility
If subjective judgment in data processing is used, then flexibility in analyzing complex signals is improved, but test result reliability and consistency deteriorate
Solution Approach 1:
The patent implements automated feedback mechanisms where measurement data is automatically processed through predefined algorithms that compare results against reference standards and specifications. The system provides real-time feedback on signal quality, measurement validity, and compliance status, eliminating subjective judgment while maintaining analytical flexibility through programmable evaluation criteria that can be adjusted for different signal types and test requirements.
Data Source
AI summary
The present disclosure provides an automatic test method, an automatic test device, and a storage medium. The automatic test method is applied to the automatic test device. The automatic test device includes a driving mechanism, a detection mechanism and a dual-probe mechanism. The automatic test method includes controlling the driving mechanism to drive a probe in the dual-probe mechanism to move to a position of a detection point of a material. When the probe contacts the detection point, the detection mechanism collects measurement data of the detection point. Determining whether the material is an unqualified material according to the measurement data and preset standard information. When the material is the unqualified material, abnormal data is obtained from the measurement data. The present disclosure reduces human errors, improves data accuracy and reliability, and significantly improves work efficiency.