A PCB board defect testing system

Abstract

The application relates to the technical field of PCB (Printed Circuit Board) detection, and discloses a PCB defect testing system, which comprises a detection module, an analysis module, a report module and a control module, wherein the detection module is used for detecting a PCB and obtaining detection data; the analysis module is used for analyzing the detection data and determining whether the PCB has defects; the report module is used for generating a defect report according to the analysis result; and the control module is used for controlling the work of the detection module, the analysis module and the report module; and the detection module comprises the following units: an optical detection unit used for optically detecting the PCB and an electrical detection unit used for electrically detecting the PCB. Through the cooperative work of the detection module, the analysis module and the report module, the PCB can be comprehensively detected, the product quality and the production efficiency are improved, the automated detection process can reduce the labor cost and human errors, and the reliability and stability of production are improved.

Description

Technical Field

[0001] This invention relates to the field of PCB board inspection technology, specifically a PCB board defect testing system. Background Technology

[0002] Printed circuit boards (PCBs) are an important component of electronic devices, and their quality directly affects the performance and reliability of the entire device. However, various defects may occur during the PCB manufacturing process, such as short circuits, open circuits, and poor solder joints. These defects may cause the PCB to fail and affect the normal operation of the device. Therefore, defect testing of PCBs is very important.

[0003] Traditional PCB board defect testing methods mainly rely on manual visual inspection and manual testing. These methods are inefficient, prone to errors, and difficult to detect some subtle defects. Therefore, this invention provides a PCB board defect testing system to address the shortcomings of existing technologies. Summary of the Invention

[0004] To address the shortcomings of existing technologies, this invention provides a PCB board defect testing system that solves the problems of traditional PCB board defect testing methods that mainly rely on manual visual inspection and manual testing, which are inefficient, prone to errors, and difficult to detect some subtle defects.

[0005] To achieve the above objectives, the present invention provides the following technical solution: a PCB board defect testing system, comprising: The testing module is used to test the PCB board and acquire test data; The analysis module is used to analyze the test data to determine whether there are defects in the PCB board; The reporting module is used to generate defect reports based on the analysis results; The control module is used to control the operation of the detection module, analysis module, and reporting module; The communication module is used for data transmission with external devices.

[0006] Preferably, the detection module includes the following units: Optical inspection unit, used for optical inspection of PCB boards; The electrical testing unit is used for electrical testing of the PCB board; Automatic positioning unit: Automatically positions the PCB board using visual recognition technology.

[0007] Preferably, the analysis module includes the following units: The data processing unit uses a soft threshold denoising algorithm to denoise the detection data before analysis. The defect judgment unit is used to determine whether there are defects on the PCB board based on the processing and analysis results. Quality assessment unit: Evaluates the quality of the PCB board based on the defect identification results.

[0008] Preferably, the expression for the soft threshold denoising algorithm is:

[0009] In the formula, Indicates the input signal. Indicates the output signal. Indicates the threshold. Represents a symbolic function. This represents the function that takes the maximum value. This represents the function that takes the absolute value.

[0010] Preferably, the reporting module includes the following units: The report generation unit is used to generate defect reports based on the defect assessment results. The report output unit is used to output defect reports.

[0011] Preferably, the control module includes the following units: Detection and control unit: controls the operation of the detection module; Analysis and control unit: controls the operation of the analysis module; Report control unit: Controls the operation of the report module.

[0012] Preferably, the communication module includes the following units: Wired communication unit: Communicates with external devices via Ethernet or serial wired interface; Wireless communication unit: Communicates with external devices via Wi-Fi or Bluetooth wireless interface; Data transmission unit: Transmits detection data, analysis results, and report information to external devices.

[0013] Preferably, the output terminal of the detection module is electrically connected to the input terminal of the analysis module, the input terminal of the analysis module is electrically connected to the input terminal of the report module, the output terminal of the report module is electrically connected to the input terminal of the communication module, and the output terminal of the control module is electrically connected to the input terminals of the detection module, the analysis module, and the report module, respectively.

[0014] A method for testing defects in a PCB board, applied to the aforementioned PCB board defect testing system, includes the following steps: Step 1: Inspect the PCB board using the detection module and obtain the corresponding data; Step 2: Analyze the data obtained in Step 1 using the analysis module and determine whether there are defects in the PCB board; Step 3: Based on the analysis results, use the report module to generate a defect report.

[0015] Preferably, in step two, before analyzing the data, the data is denoised using a soft threshold denoising algorithm.

[0016] Working principle: The inspection module can use a high-resolution microscope or camera to inspect the PCB board. During the inspection process, the inspection module collects various data, which is then analyzed by the analysis module to determine whether there are defects on the PCB board. The analysis process includes image processing, data filtering, feature extraction, pattern recognition, and other technologies to identify the type, location, and severity of defects. The analysis module compares the inspection data with preset standards or reference data to determine whether the PCB board meets the quality requirements. Based on the analysis results, the reporting module generates a defect report, which presents the analysis results in the form of a report.

[0017] This invention provides a PCB board defect testing system. It has the following beneficial effects: 1. This invention enables comprehensive inspection of PCB boards through the collaborative work of the detection module, analysis module, and reporting module, thereby improving product quality and production efficiency. Furthermore, the automated inspection process can reduce labor costs and human error, and enhance the reliability and stability of production.

[0018] 2. This invention effectively removes noise interference and improves data quality and accuracy by performing soft threshold denoising on the test data. Furthermore, by formulating corresponding quality assessment standards and indicators, and considering multiple factors such as the type, severity, and location of defects, the quality of the PCB board is evaluated. This allows production personnel to quickly understand the quality status of the product and adjust production processes and parameters in a timely manner to improve production quality and efficiency.

[0019] 3. This invention transmits data to external devices via wired or wireless communication units. The data transmission unit ensures data interaction between the detection system and external devices, enabling staff to obtain real-time detection data, analysis results, and report information through external devices, facilitating decision-making. Attached Figure Description

[0020] Figure 1 This is a flowchart of the system of the present invention; Figure 2 This is a schematic diagram of the system architecture of the present invention; Figure 3 This is a schematic diagram of the detection module of the present invention; Figure 4This is a schematic diagram of the analysis module of the present invention; Figure 5 This is a schematic diagram of the report module of the present invention; Figure 6 This is a schematic diagram of the control module of the present invention; Figure 7 This is a schematic diagram of the communication module of the present invention. Detailed Implementation

[0021] The technical solution of the present invention will now be clearly and completely described with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention. Example

[0022] Please see the appendix Figure 1 -Appendix Figure 7 This invention provides a PCB board defect testing system, including a detection module for detecting the PCB board and acquiring detection data; an analysis module for analyzing the detection data and determining whether the PCB board has defects; a reporting module for generating a defect report based on the analysis results; a control module for controlling the operation of the detection module, analysis module, and reporting module; and a communication module for transmitting data with external devices.

[0023] Please see the appendix Figure 3 The detection module includes the following units: an optical detection unit for optical detection of the PCB board; an electrical detection unit for electrical detection of the PCB board; and an automatic positioning unit for automatic positioning of the PCB board using visual recognition technology.

[0024] Specifically, the optical inspection unit uses a high-resolution microscope or camera to perform visual inspection of the PCB board, detecting issues such as solder joint integrity, circuit continuity, missing or misaligned components, thus improving the accuracy and efficiency of inspection. The electrical inspection unit uses continuity or insulation tests to perform electrical performance tests on the PCB board, detecting short circuits, open circuits, insulation faults, etc., ensuring the reliability and stability of the circuit board. The automatic positioning unit uses visual recognition technology to capture images of the PCB board through a camera, and then uses image processing algorithms for identification and positioning, which can improve production efficiency, reduce human error, and ensure the accuracy and consistency of inspection. Through the collaborative work of these units, comprehensive inspection of the PCB board can be achieved, improving product quality and production efficiency. Furthermore, the automated inspection process can reduce labor costs and human error, improving the reliability and stability of production.

[0025] Please see the appendix Figure 4 The analysis module includes the following units: a data processing unit, which uses a soft threshold denoising algorithm to denoise the detection data before analysis; a defect judgment unit, which determines whether the PCB board has defects based on the processing and analysis results; and a quality assessment unit, which assesses the quality of the PCB board based on the defect identification results. The expression for the soft threshold denoising algorithm is:

[0026] In the formula, Indicates the input signal. Indicates the output signal. Indicates the threshold. Represents a symbolic function. This represents the function that takes the maximum value. This represents the function that takes the absolute value.

[0027] Specifically, soft threshold denoising is a threshold-based filtering method that removes noise components from a signal based on a set threshold while preserving the original signal characteristics. By applying soft threshold denoising to the detection data, noise interference can be effectively removed, improving data quality and accuracy. After soft threshold denoising, noise in the data is suppressed, making subsequent analysis more reliable and accurate. This helps improve the accuracy of defect judgment and quality assessment, reducing false positives and false negatives. By analyzing the processed data, defect-related features and indicators can be extracted. Based on these features and indicators, the defect judgment unit uses corresponding algorithms and models to determine whether there are defects on the PCB board. Accurate judgment by the defect judgment unit can promptly detect defects in the PCB board, helping to improve product quality and production efficiency. By formulating corresponding quality assessment standards and indicators, and considering multiple factors such as the type, severity, and location of defects, the quality of the PCB board is evaluated. The evaluation results of the quality assessment unit can provide feedback and guidance to the production process, helping production personnel understand the quality status of the product and adjust production processes and parameters in a timely manner to improve production quality and efficiency.

[0028] Please see the appendix Figure 5 The report module includes the following units: a report generation unit, used to generate a defect report based on the defect judgment results; and a report output unit, used to output the defect report.

[0029] Specifically, the report generation unit, based on the results of the defect identification unit and the quality assessment unit, presents the conclusions of the analysis and judgment in the form of a report. It generates different types of reports according to different needs and standards. By generating detailed defect reports, staff can clearly understand the problems existing on the PCB board, including the type, location, and severity of defects. This helps staff quickly take corresponding repair or improvement measures, improving production efficiency and product quality. The report output unit is responsible for outputting and distributing the defect reports created by the report generation unit. Based on actual needs and settings, it selects appropriate output methods and channels to ensure that reports are delivered to relevant personnel in a timely manner. Timely output of defect reports allows relevant personnel to quickly obtain information about the PCB board's quality status, which helps promote communication and collaboration within the team, accelerates problem-solving and improvement implementation, thereby improving the efficiency and quality of the entire production process.

[0030] Please see the appendix Figure 6 The control module includes the following units: detection control unit: controls the operation of the detection module; analysis control unit: controls the operation of the analysis module; and report control unit: controls the operation of the report module.

[0031] Specifically, the detection control unit, based on control theory and algorithms, achieves precise control of the detection process through a feedback mechanism. It adjusts the operating parameters of the detection modules according to real-time data and set targets to ensure accuracy and reliability. The implementation of the detection control unit improves detection efficiency and accuracy, ensures the stability and repeatability of the detection process, and reduces false positives and false negatives by optimizing detection parameters and operating modes, thus improving system reliability. The analysis control unit, based on data processing and machine learning algorithms, analyzes and processes the detection data. It can identify defect types, locations, and severity based on preset rules and models, and feeds the analysis results back to other modules. The implementation of the analysis control unit improves the accuracy and efficiency of analysis, enabling rapid defect identification and location. Through the application of intelligent algorithms and models, it achieves automated analysis and decision-making, reducing manual intervention and improving work efficiency. The report control unit, based on the principles of report generation and management, organizes the analysis results and related information into a clear and accurate report format. Automated report generation and management reduce the time and errors associated with manual report preparation, improving work efficiency and information accuracy.

[0032] Please see the appendix Figure 7 The communication module includes the following units: a wired communication unit that communicates with external devices via an Ethernet or serial wired interface; a wireless communication unit that communicates with external devices via a Wi-Fi or Bluetooth wireless interface; and a data transmission unit that transmits detection data, analysis results, and report information to external devices.

[0033] Specifically, the wired communication unit provides a stable and high-speed data transmission method, suitable for scenarios requiring large amounts of data transmission or high data transmission speed. The wireless communication unit provides a convenient connection method, eliminating the need for wiring and suitable for flexible connections between mobile devices or devices. The data transmission unit can use communication protocols to encapsulate data into data packets and send them to external devices via wired or wireless communication units. The data transmission unit ensures data interaction between the detection system and external devices, enabling staff to obtain real-time detection data, analysis results, and report information through external devices, facilitating decision-making.

[0034] Please see the appendix Figure 1 -Appendix Figure 2 The output of the detection module is electrically connected to the input of the analysis module, the input of the analysis module is electrically connected to the input of the report module, the output of the report module is electrically connected to the input of the communication module, and the output of the control module is electrically connected to the inputs of the detection module, the analysis module, and the report module, respectively.

[0035] A method for PCB board defect testing includes the following steps: Step 1, inspecting the PCB board using a detection module to obtain relevant data; Step 2, analyzing the data obtained in Step 1 using an analysis module to determine whether the PCB board has defects; Step 3, generating a defect report using a report module based on the analysis results.

[0036] Please see the appendix Figure 1 In step two, before analyzing the data, the data is denoised using a soft threshold denoising algorithm.

[0037] Specifically, soft threshold denoising algorithms can remove noise components from a signal based on a set threshold while preserving the original features of the signal. By performing soft threshold denoising on the detection data, noise interference can be effectively removed, improving the quality and accuracy of the data.

[0038] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. A PCB board defect testing system, characterized in that, include: The testing module is used to test the PCB board and acquire test data; The analysis module is used to analyze the test data to determine whether there are defects in the PCB board; The reporting module is used to generate defect reports based on the analysis results; The control module is used to control the operation of the detection module, analysis module, and reporting module; The communication module is used for data transmission with external devices.

2. The PCB board defect testing system according to claim 1, characterized in that, The detection module includes the following units: Optical inspection unit, used for optical inspection of PCB boards; The electrical testing unit is used for electrical testing of the PCB board; Automatic positioning unit: Automatically positions the PCB board using visual recognition technology.

3. The PCB board defect testing system according to claim 1, characterized in that, The analysis module includes the following units: The data processing unit uses a soft threshold denoising algorithm to denoise the detection data before analysis. The defect judgment unit is used to determine whether there are defects on the PCB board based on the processing and analysis results. Quality assessment unit: Evaluates the quality of the PCB board based on the defect identification results.

4. The PCB board defect testing system according to claim 3, characterized in that, The expression for the soft threshold denoising algorithm is: In the formula, Indicates the input signal. Indicates the output signal. Indicates the threshold. Represents a symbolic function. This represents the function that takes the maximum value. This represents the function that takes the absolute value.

5. The PCB board defect testing system according to claim 1, characterized in that, The reporting module includes the following units: The report generation unit is used to generate defect reports based on the defect assessment results. The report output unit is used to output defect reports.

6. The PCB board defect testing system according to claim 1, characterized in that, The control module includes the following units: Detection and control unit: controls the operation of the detection module; Analysis and control unit: controls the operation of the analysis module; Report control unit: Controls the operation of the report module.

7. The PCB board defect testing system according to claim 1, characterized in that, The communication module includes the following units: Wired communication unit: Communicates with external devices via Ethernet or serial wired interface; Wireless communication unit: Communicates with external devices via Wi-Fi or Bluetooth wireless interface; Data transmission unit: Transmits detection data, analysis results, and report information to external devices.

8. A PCB board defect testing system according to claim 1, characterized in that, The output of the detection module is electrically connected to the input of the analysis module, the input of the analysis module is electrically connected to the input of the report module, the output of the report module is electrically connected to the input of the communication module, and the output of the control module is electrically connected to the inputs of the detection module, the analysis module, and the report module, respectively.

9. A method for testing defects in a PCB board, applied to the PCB board defect testing system according to any one of claims 1-8, characterized in that, Includes the following steps: Step 1: Inspect the PCB board using the detection module and obtain the corresponding data; Step 2: Analyze the data obtained in Step 1 using the analysis module and determine whether there are defects in the PCB board; Step 3: Based on the analysis results, use the report module to generate a defect report.

10. A PCB board defect testing system according to claim 9, characterized in that, In step two, before analyzing the data, the data is denoised using a soft threshold denoising algorithm.

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