Abstract: The present disclosure relates to a method for testing printed circuit boards (PCBs) using computer-designed test points (TPs) and programming the microcontroller with the same software. A unique code is generated for each PCB, and a corresponding Quick Response (QR) code is printed on it for easy identification and tracking of customer problems. The testing data is uploaded to the cloud and analysed using Artificial Intelligence (AI) based software to identify common issues and improve circuitry design. Additionally, the data is stored on a server for transformer jig and complete product integration, enabling easy tracking of the manufacturing process and complaints. The method can be integrated with computer-readable mediums (CRMs) to track complaints and complete the value chain for tracing manufacturing to sales and service.
DESC:TECHNICAL FIELD
[0001] The present disclosure relates to the field of electronic testing systems and, more particularly, relates to the area of Printed Circuit Board (PCB) manufacturing and testing.
BACKGROUND
[0002] This section is intended to introduce the reader to various aspects of art that may be related to various aspects of the present disclosure, which are described below. This disclosure is believed to be helpful in providing the reader with background information to facilitate a better understanding of the various aspects of the present disclosure. Accordingly, it should be understood that these statements are to be read in this light, and not just as admissions of prior art.
[0003] Printed Circuit Boards (PCBs) are the backbone of modern electronic devices, and as the complexity of electronic devices continues to increase, the demand for high-quality PCBs is also rising. The global PCB market is expected to grow at a CAGR of 3.3% from 2021 to 2028, reaching $89.7 billion by 2028. The growth is primarily driven by the increasing demand for consumer electronics, automotive electronics, and communication equipment.
[0004] Conventionally, PCB testing was carried out manually, which was time-consuming, expensive, and prone to errors. Manual testing was not capable of identifying the specific failures or defects that may have occurred during the manufacturing process, which could cause problems in the future. According to a study by Frost & Sullivan, manual testing methods account for 60-70% of all defects in the manufacturing process, leading to significant losses for manufacturers.
[0005] To address these issues, automated testing systems were developed, which could test PCBs for various parameters and identify specific defects or failures. The growth is primarily driven by the increasing demand for high-quality PCBs and the need for faster, more efficient, and cost-effective testing methods.
[0006] However, even with automated testing, it was still difficult to identify whether a PCB had been repaired during the manufacturing process. Additionally, tracking customer complaints and identifying common problems in the PCBs was also a challenge, as the data was not stored in a centralized location. According to a study, the lack of centralized data storage and analysis is one of the major challenges facing the PCB testing market.
[0007] In summary, there is a need to address the limitations of conventionally used PCB testing methods by automating the process, identifying specific defects, and providing a centralized location for data storage and analysis. This would improve the quality of PCBs and reduce the cost and time involved in testing. Additionally, a centralized data storage system would enable tracking of customer complaints and identifying common problems in PCBs, enabling manufacturers to take corrective actions and improve the quality of their products.
SUMMARY
[0008] The present disclosure relates to a novel PCB testing system that uses computer-designed test points (TPs) and microcontroller programming to test the PCBs for various parameters.
[0009] In an embodiment, the system generates a unique QR code for each PCB, which can be used to identify whether the PCB has been repaired during the manufacturing process.
[00010] In an embodiment, the data from testing is uploaded onto the cloud, which allows for analysis using Artificial Intelligence (AI) based software to identify common problems and challenges faced in the PCBs. This data can also be used to track customer complaints and trace the entire manufacturing process, from production to sales and service.
[00011] According to one aspect of the invention, a printed circuit board (PCB) testing system comprising a plurality of test points (TPs) and a microcontroller to test the PCBs, wherein the PCB testing system is configured to: receive a model number of the PCB once the PCB connection is detected; determine one or more parameters related to the detected PCB and their corresponding acceptable range of the parameters; check the detected PCB for the determined one or more parameters and obtain the reading related to the PCB being tested; compare the obtained reading with the acceptable range of the parameters; and generate a unique Quick Response (QR) code for the PCB based on the compared data.
[00012] Optionally, the QR code indicates fail when one or more obtained readings are outside the acceptable range.
[00013] Optionally, the QR code indicates pass when one or more obtained readings are within the acceptable range.
[00014] Optionally, the QR is used to identify whether the PCB has been repaired during the manufacturing process or not.
[00015] Optionally, the PCB system is further configured to upload data from testing onto the cloud, wherein the data is used to track customer complaints and trace the entire manufacturing process, from production to sales and service.
[00016] Optionally, the PCB system is further configured to attach the QR code on the tested PCB for tracking.
[00017] Optionally, the PCB system is further configured to integrate the computer-readable media (CRM) to track the PCB complaints.
[00018] This novel technique for testing and managing data of PCBs has the potential to enhance quality control and customer satisfaction. The system integrates data at every stage of the manufacturing process, allowing for complete traceability and issue identification. This helps ensure product quality and simplifies the research and development process. Overall, this innovative approach has the capability to bring significant improvements in quality control and customer satisfaction by integrating data throughout the manufacturing process.
BRIEF DESCRIPTION OF THE DRAWINGS
[00019] To further clarify advantages and features of the present disclosure, a more particular description of the disclosure will be rendered by reference to specific embodiments thereof, which is illustrated in the appended drawings. It is appreciated that these drawings depict only typical embodiments of the disclosure and are therefore not to be considered limiting of its scope. The disclosure will be described and explained with additional specificity and detail with the accompanying drawings in which:
[00020] Figure 1 illustrates a schematic diagram of the PCB testing system according to an embodiment of this application;
[00021] Figure 2 illustrates a block diagram of the PCB testing system connected to PCB for testing in an embodiment of this application;
[00022] Figure 3 illustrates a visual representation of the test results generated by the PCB testing system; and
[00023] Figure 4 the QC code produced by the PCB testing system.
DETAILED DESCRIPTION
[00024] It will be understood by those skilled in the art that the foregoing general description and the following detailed description are exemplary and explanatory of the disclosure and are not intended to be restrictive thereof.
[00025] Reference throughout this specification to “an embodiment”, “another embodiment”, “an implementation”, “another implementation” or similar language means that a particular feature, structure, or characteristic described in connection with the embodiment is included in at least one embodiment of the present disclosure. Thus, appearances of the phrase “in an embodiment”, “in another embodiment”, “in one implementation”, “in another implementation”, and similar language throughout this specification may, but do not necessarily, all refer to the same embodiment.
[00026] The terms “comprises”, “comprising”, or any other variations thereof, are intended to cover a non-exclusive inclusion, such that a process or method that comprises a list of steps does not include only those steps but may include other steps not expressly listed or inherent to such process or method. Similarly, one or more devices or sub-systems or elements or structures proceeded by “comprises a” does not, without more constraints, preclude the existence of other devices or other sub-systems or other elements or other structures or additional devices or additional sub-systems or additional elements or additional structures.
[00027] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this disclosure belongs. The apparatus, system, and examples provided herein are illustrative only and not intended to be limiting.
[00028] The terms “a” and “an” herein do not denote a limitation of quantity, but rather denote the presence of at least one of the referenced items. Further, the term sterile barrier and sterile adapter denotes the same meaning and may be used interchangeably throughout the description.
[00029] This disclosure presents a new method for testing printed circuit boards (PCBs) that involves designing test points (TPs) on a computer and programming them into a microcontroller using the same software. The TPs are then utilized to test the PCB based on different parameters, generating a unique code for each PCB along with a corresponding Quick Response (QR) code that is printed on the PCB.
[00030] By incorporating TPs into the design of the PCB, manufacturers can ensure that each board is thoroughly tested before it is shipped to the customer. Moreover, the unique code generated by the TPs and QR code printed on the PCB can be utilized to monitor the performance of the board over time and help identify any issues that may arise.
[00031] Additionally, the system enables tracking of customer problems, allowing manufacturers to quickly identify and address any issues that customers may experience. This can lead to improved customer satisfaction and help manufacturers to build a reputation for producing high-quality products.
[00032] Overall, this approach to testing PCBs offers several advantages over traditional testing methods and has the potential to revolutionize the way PCBs are tested and monitored.
[00033] Further, the testing data is uploaded to the cloud, allowing for analysis by Artificial Intelligence (AI)-based software to identify common problems and improve circuitry. The data is also stored on a server for transformer jig and complete product integration, enabling online tracking of PCB and transformer data. This information can be integrated with computer-readable media (CRM) to track product complaints and complete the value chain for manufacturing, sales, and service.
[00034] By tracking data throughout the manufacturing process, this system enables quality control and identification of potential problems. The ability to generate unique codes and QR codes for each PCB improves traceability and reduces the likelihood of errors or confusion during repairs or maintenance. The use of AI-based software also enables the identification of common problems and opportunities for improvement, streamlining the research and development process.
[00035] The PCB testing system, as illustrated in Figures 1-2, is a comprehensive setup designed to efficiently test PCBs. It consists of essential components such as test points (TPs), a microcontroller, a multimeter, and a signal-generating circuit. When a PCB is placed on the testing system, it initiates a methodical process to ensure the functionality and quality of the PCB.
[00036] Once a PCB connection is established, the system receives the model number of the PCB, enabling it to identify the specific parameters relevant to that particular PCB variant. Using this information, the system determines the acceptable range for these parameters. Subsequently, the system checks the PCB for these parameters and records the readings obtained from the testing process. By comparing these readings with the predetermined acceptable range, the system generates a unique Quick Response (QR) code for the PCB.
[00037] The QR code serves as an efficient indicator of the PCB's status. If the obtained readings fall within the acceptable range, the QR code signifies a pass. Conversely, if any readings are outside the acceptable range, the QR code indicates a fail. This feature is particularly useful for identifying whether a PCB has undergone repairs during the manufacturing process, ensuring transparency and accountability in quality control.
[00038] Furthermore, the PCB testing system is equipped with capabilities to upload testing data onto the cloud. This data serves multiple purposes, including tracking customer complaints and providing insights into the entire manufacturing process, from production to sales and service. By leveraging cloud technology, manufacturers can streamline their operations and address issues promptly, thereby enhancing overall efficiency and customer satisfaction.
[00039] Figure 3 provides a visual representation of the test results generated by the PCB testing system. These results include crucial information such as test points, minimum and maximum values, measured values, and the pass/fail status. This comprehensive overview enables operators to quickly assess the performance of the PCB and take necessary actions accordingly.
[00040] Additionally, Figure 4 showcases the QC code produced by the PCB testing system. This code not only indicates the pass/fail status but also includes essential details such as the serial number of the PCB. By incorporating such detailed information into the QC code, manufacturers can easily track individual PCBs throughout their lifecycle, facilitating quality assurance and maintenance efforts.
[00041] The PCB testing system described in this embodiment is a comprehensive solution that integrates several key components and functionalities to ensure efficient and accurate testing of printed circuit boards (PCBs). The system employs test points, a microcontroller, a multimeter, and a signal-generating circuit to conduct thorough tests on connected PCBs.
[00042] Test Points (TPs) serve as physical access points on the PCBs, allowing the testing equipment to establish connections for electrical testing. These points facilitate the seamless integration of the testing system with the PCBs under examination.
[00043] At the heart of the testing system lies the Microcontroller, functioning as the central processing unit. It orchestrates the entire testing process, from receiving input from the test points to executing calculations for determining parameters and acceptable ranges. Furthermore, it is responsible for comparing obtained readings with the predefined ranges and generating unique Quick Response (QR) codes based on the results.
[00044] The Multimeter plays a crucial role in obtaining readings related to the PCB being tested. It measures various electrical properties such as voltage, current, and resistance, providing essential data for the evaluation process.
[00045] The Signal-Generating Circuit complements the testing process by generating signals used to stimulate specific areas of the PCB and observe corresponding responses. This circuit enhances the system's capability to diagnose potential faults accurately.
[00046] The method employed by the testing system follows a structured approach, beginning with the Detection and Identification of the connected PCB. Upon connection, the system receives the model number of the PCB, which is then utilized to identify the specific parameters to be tested.
[00047] Following identification, the system proceeds with Parameter Determination, where it identifies relevant parameters and their acceptable ranges. These parameters could include voltage levels, resistance values, or signal frequencies, depending on the nature of the PCB under examination.
[00048] Subsequently, the system conducts Testing and Comparison by obtaining readings using the multimeter and comparing them against the predetermined acceptable ranges. This step forms the basis for determining whether the PCB passes or fails the testing process.
[00049] Upon completion of testing and comparison, the system proceeds to QR Code Generation, where it generates a unique QR code for the PCB based on the comparison results. This QR code serves as a convenient indicator of the PCB's testing outcome.
[00050] In addition to these core functionalities, the system incorporates features for Automatic Adjustment, enabling it to automatically adjust test parameters based on the detected PCB model. This reduces the need for manual configuration and enhances operational efficiency.
[00051] Furthermore, integration with Manufacturing Equipment enables real-time testing during the production process, ensuring early identification of faulty PCBs and minimizing potential manufacturing defects.
[00052] The system also offers capabilities for Data Logging and Analysis, allowing it to log test results and upload them to the cloud for further analysis. This data can be invaluable for tracking customer complaints, improving manufacturing processes, and providing enhanced after-sales service.
[00053] To bolster security measures, QR codes generated by the system could be encrypted or include additional authentication measures, mitigating the risk of tampering or counterfeiting.
[00054] Lastly, Remote Access and Control functionality could be integrated into the system, enabling operators to monitor and manage testing processes remotely from any location, further enhancing flexibility and accessibility.
[00055] In summary, the PCB testing system outlined here embodies a comprehensive approach to PCB testing, incorporating advanced functionalities and features to ensure accurate, efficient, and secure testing processes.
[00056] Overall, this innovative approach to PCB testing and data management has significant potential to improve quality control and enhance customer satisfaction. By integrating data throughout the manufacturing process, this system enables complete traceability and identification of issues, helping to ensure product quality and streamline the research and development process.
[00057] Benefits, other advantages, and solutions to problems have been described above with regard to specific embodiments. However, the benefits, advantages, solutions to problems, and any component(s) that may cause any benefit, advantage, or solution to occur or become more pronounced are not to be construed as a critical, required, or essential feature or component of any or all the claims.
[00058] While specific language has been used to describe the disclosure, any limitations arising on account of the same are not intended. As would be apparent to a person in the art, various working modifications may be made to the apparatus in order to implement the inventive concept as taught herein. ,CLAIMS:WE CLAIM:
1. A printed circuit board (PCB) testing system comprising a plurality of test points (TPs) and a microcontroller to test the PCBs, wherein the PCB testing system is configured to:
receive a model number of the PCB once the PCB connection is detected;
determine one or more parameters related to the detected PCB and their corresponding acceptable range of the parameters;
check the detected PCB for the determined one or more parameters and obtain the reading related to the PCB being tested;
compare the obtained reading with the acceptable range of the parameters; and
generate a unique Quick Response (QR) code for the PCB based on the compared data.
2. The PCB testing system as claimed in Claim 1, wherein the QR code indicates fail when one or more obtained readings are outside the acceptable range.
3. The PCB testing system as claimed in Claim 1, wherein the QR code indicates pass when one or more obtained readings are within the acceptable range.
4. The PCB testing system as claimed in Claim 1, wherein the QR is used to identify whether the PCB has been repaired during the manufacturing process or not.
5. The PCB testing system as claimed in Claim 1, wherein the PCB system is further configured to upload data from testing onto the cloud, wherein the data is used to track customer complaints and trace the entire manufacturing process, from production to sales and service.
6. The PCB testing system as claimed in Claim 1, wherein the PCB system is further configured to attach the QR code on the tested PCB for tracking.
7. The PCB testing system as claimed in Claim 1, wherein the PCB system is further configured to integrate the computer-readable media (CRM) to track the PCB complaints.
| # | Name | Date |
|---|---|---|
| 1 | 202311019893-STATEMENT OF UNDERTAKING (FORM 3) [22-03-2023(online)].pdf | 2023-03-22 |
| 2 | 202311019893-PROVISIONAL SPECIFICATION [22-03-2023(online)].pdf | 2023-03-22 |
| 3 | 202311019893-FORM FOR STARTUP [22-03-2023(online)].pdf | 2023-03-22 |
| 4 | 202311019893-FORM FOR SMALL ENTITY(FORM-28) [22-03-2023(online)].pdf | 2023-03-22 |
| 5 | 202311019893-FORM 1 [22-03-2023(online)].pdf | 2023-03-22 |
| 6 | 202311019893-FIGURE OF ABSTRACT [22-03-2023(online)].pdf | 2023-03-22 |
| 7 | 202311019893-EVIDENCE FOR REGISTRATION UNDER SSI(FORM-28) [22-03-2023(online)].pdf | 2023-03-22 |
| 8 | 202311019893-EVIDENCE FOR REGISTRATION UNDER SSI [22-03-2023(online)].pdf | 2023-03-22 |
| 9 | 202311019893-DECLARATION OF INVENTORSHIP (FORM 5) [22-03-2023(online)].pdf | 2023-03-22 |
| 10 | 202311019893-Proof of Right [24-03-2023(online)].pdf | 2023-03-24 |
| 11 | 202311019893-FORM-26 [24-03-2023(online)].pdf | 2023-03-24 |
| 12 | 202311019893-FORM-26 [11-05-2023(online)].pdf | 2023-05-11 |
| 13 | 202311019893-GPA-120523.pdf | 2023-06-21 |
| 14 | 202311019893-Correspondence-120523.pdf | 2023-06-21 |
| 15 | 202311019893-DRAWING [15-03-2024(online)].pdf | 2024-03-15 |
| 16 | 202311019893-CORRESPONDENCE-OTHERS [15-03-2024(online)].pdf | 2024-03-15 |
| 17 | 202311019893-COMPLETE SPECIFICATION [15-03-2024(online)].pdf | 2024-03-15 |