CN117074845A - Electronic component quality detection platform - Google Patents
Electronic component quality detection platform Download PDFInfo
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- CN117074845A CN117074845A CN202311334220.3A CN202311334220A CN117074845A CN 117074845 A CN117074845 A CN 117074845A CN 202311334220 A CN202311334220 A CN 202311334220A CN 117074845 A CN117074845 A CN 117074845A
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- 238000004519 manufacturing process Methods 0.000 claims abstract description 36
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- 238000012423 maintenance Methods 0.000 claims abstract description 8
- 230000000007 visual effect Effects 0.000 claims abstract description 5
- 238000011156 evaluation Methods 0.000 claims description 34
- 238000000605 extraction Methods 0.000 claims description 10
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- 230000003449 preventive effect Effects 0.000 abstract description 4
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- 238000012544 monitoring process Methods 0.000 description 4
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/01—Subjecting similar articles in turn to test, e.g. "go/no-go" tests in mass production; Testing objects at points as they pass through a testing station
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Abstract
The invention discloses a quality detection platform for electronic components, which relates to the field of device detection and comprises the following components: the management and control module is used for controlling the operation of each functional module, providing visual display permission of data and supporting the export of a data report; the attribute detection module is used for detecting data of the current and the maintenance voltage which are fed into the electronic component in the running state through the sensor and converting the data into a machine-readable language; the data acquisition module is used for acquiring the converted current and voltage data, transmitting the converted current and voltage data to the background for processing and analysis, and judging whether the value of the converted current and voltage data is in a preset rated range or not; by tracking the production lines and equipment of the problem product, the platform can help manufacturers quickly identify and resolve quality problems, thereby improving quality and reliability of the product, and by predicting future failure rates of the production lines and equipment, manufacturers can take preventive maintenance measures, reducing unnecessary downtime and production breaks.
Description
Technical Field
The invention relates to the technical field of device detection, in particular to a quality detection platform for electronic components.
Background
On the production line of electronic components, it is very important to detect and screen out unqualified or defective components to ensure the quality and reliability of the product, the electronic component quality detection platform has wide application in various fields, can ensure the performance and quality of the electronic components, thus improve the reliability and security of the product;
however, the existing electronic component quality detection platform has disadvantages, such as:
1. in the use process, even if defects of the product can be analyzed and removed, further tracking analysis is difficult to be carried out on the processing part of the problem product, so that the problem product can be continuously output in the subsequent processing process, the loss is difficult to be reduced in time, and the quick correction of enterprises is not facilitated;
2. the judgment strength of the problem products is insufficient, and when the assessment of the product quality is in doubt, the detailed identification is difficult to carry out, so that the false detection phenomenon frequently occurs, the control of the yield is not facilitated for enterprises, and the loss is caused.
Disclosure of Invention
Aiming at the defects existing in the prior art, the invention provides the electronic component quality detection platform which can effectively solve the problems that in the use process of the prior art, even if defects of products can be analyzed and removed, further tracking analysis is difficult to be carried out on processing positions of problem products, so that the problem products can still be continuously output in the subsequent processing process, the losses are difficult to be reduced in time, the quick correction of enterprises is not facilitated, the judging strength of the problem products is insufficient, when the assessment of the quality of the products is in doubt, detailed identification is difficult to be carried out, the misdetection phenomenon frequently occurs, the control of the yield of the enterprises is not facilitated, and the loss is caused.
In order to achieve the above object, the present invention is achieved by the following technical scheme;
the invention discloses an electronic component quality detection platform, which comprises:
the management and control module is used for controlling the operation of each functional module, providing visual display permission of data and supporting the export of a data report;
the attribute detection module is used for detecting data of the current and the maintenance voltage which are fed into the electronic component in the running state through the sensor and converting the data into a machine-readable language;
the data acquisition module is used for acquiring the converted current and voltage data, transmitting the converted current and voltage data to the background for processing and analysis, and judging whether the value of the converted current and voltage data is in a preset rated range or not;
the analysis judging module is used for evaluating according to the processed data result and judging whether the quality of the electronic component is qualified or not;
the fault marking module is used for marking the defective product judged to be unqualified and stopping the action of transmitting the defective product to the subsequent process;
the traceability module is used for acquiring the problem products and inquiring the processing production line and equipment information of the problem products;
the extraction module is used for acquiring the operation parameters of the processing production line and equipment of the problem product and analyzing the cause of the problem;
the fault prediction module is used for predicting the future fault rate based on the historical fault data of the current problem product processing production line and equipment and the acquired current operation parameters and outputting the future fault rate to the management and control module.
Still further, the obtaining content of the visualization authority of the management and control module includes: detection results, evaluation results and traceability information.
Further, the data report attributes derived by the management and control module include: detection reports, analysis reports, assessment reports and prediction reports.
Further, the data acquisition module is provided with a communication module, and the communication module is used for carrying out data exchange and integration with the associated system and equipment.
Furthermore, the analysis and judgment module is interactively connected with an evaluation module through a wireless network, and the evaluation module is used for evaluating the data result processed by the analysis and judgment module and analyzing and evaluating the quality score.
Furthermore, the evaluation module is interactively connected with a perfection judgment module through a wireless network, the perfection judgment module is used for judging whether the evaluation result output by the evaluation module is perfected or not, if the result is judged to have a missing item, a secondary detection flow is triggered, a detection command is submitted to the attribute detection module again, and the current product is detected again.
Furthermore, the repeatable index of the re-detection command submitted by the perfection judging module is edited by manual customization, and if the repeatable index exceeds the repeatable index, the product is removed.
Further, the prediction result of the fault prediction module is evaluated by obtaining a prediction value and an actual value to calculate an average absolute percentage error, and the calculation formula is as follows:
；
where Q represents the average absolute percentage error coefficient, m represents the number of samples,representing the actual value +.>Representing the predicted value.
Further, the evaluation result obtained by the evaluation module reflects the accuracy of the current evaluation data by analyzing the fitting degree of the evaluation value and the real value, and the calculation formula is as follows:
；
wherein R represents an accuracy coefficient, T represents a true value, E represents an evaluation value, and n represents the number of samples.
Still further, the management and control module is connected with the attribute detection module through wireless network interaction, the attribute detection module is connected with the data acquisition module through wireless network interaction, the data acquisition module is connected with the analysis and judgment module through wireless network interaction, the analysis and judgment module is connected with the fault marking module through wireless network interaction, the fault marking module is connected with the tracing module through wireless network interaction, the tracing module is connected with the extraction module through wireless network interaction, and the extraction module is connected with the fault prediction module through wireless network interaction.
Compared with the prior art, the technical scheme provided by the invention has the following beneficial effects:
1. the platform can help manufacturers quickly identify and solve quality problems by tracking production lines and equipment of problem products, thereby improving quality and reliability of the products, and can take preventive maintenance measures by predicting future failure rates of the production lines and equipment, reduce unnecessary downtime and production interruption, improve production efficiency, and the traceability function of the platform allows manufacturers to track production history of each product so as to quickly investigate and recall when problems occur, and enhance traceability of the products.
2. By monitoring and evaluating the perfection of the test results, manufacturers can better understand problems and bottlenecks in the production process and take measures to improve flow and quality control, enhance the competitiveness of the enterprise and reduce production risk.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below. It is evident that the drawings in the following description are only some embodiments of the present invention and that other drawings may be obtained from these drawings without inventive effort for a person of ordinary skill in the art.
FIG. 1 is a schematic diagram of a frame of the present invention;
reference numerals in the drawings represent respectively, 1, a management and control module; 2. an attribute detection module; 3. a data acquisition module; 4. an analysis and judgment module; 5. a fault marking module; 6. a tracing module; 7. an extraction module; 8. a fault prediction module; 9. an evaluation module; 10. and (5) perfecting the judging module.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention more clear, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. It will be apparent that the described embodiments are some, but not all, embodiments of the invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The invention is further described below with reference to examples.
Example 1: an electronic component quality detection platform of the present embodiment, as shown in fig. 1, includes:
the management and control module 1 is used for controlling the operation of each functional module, providing visual display rights of data, supporting the export of a data report, and acquiring the visual rights comprises the following steps: the detection result, the evaluation result and the traceability information, and the derived data report attributes comprise: detection reports, analysis reports, assessment reports and prediction reports;
the attribute detection module 2 is used for detecting data of the current and the maintenance voltage which are fed into the electronic component in the running state through a sensor and converting the data into a machine-readable language;
the data acquisition module 3 is used for acquiring the converted current and voltage data, transmitting the converted current and voltage data to the background for processing and analysis, judging whether the value of the converted current and voltage data is in a preset rated range, and the data acquisition module 3 is provided with a communication module which is used for carrying out data exchange and integration with an associated system and equipment;
the analysis judging module 4 is used for evaluating according to the processed data result and judging whether the quality of the electronic component is qualified or not;
the fault marking module 5 is used for marking the defective product judged to be unqualified and stopping the action of transmitting the defective product to the subsequent process;
the tracing module 6 is used for acquiring the problem product and inquiring the processing production line and equipment information of the problem product;
the extraction module 7 is used for acquiring the operation parameters of the processing production line and equipment of the problem product and analyzing the cause of the problem;
the fault prediction module 8 is configured to predict a future fault rate based on the historical fault data of the current problem product processing production line and equipment and the obtained current operation parameters, and output the predicted future fault rate to the management and control module 1.
As shown in fig. 1, the management and control module 1 is interactively connected with the attribute detection module 2 through a wireless network, the attribute detection module 2 is interactively connected with the data acquisition module 3 through the wireless network, the data acquisition module 3 is interactively connected with the analysis and judgment module 4 through the wireless network, the analysis and judgment module 4 is interactively connected with the fault marking module 5 through the wireless network, the fault marking module 5 is interactively connected with the tracing module 6 through the wireless network, the tracing module 6 is interactively connected with the extraction module 7 through the wireless network, and the extraction module 7 is interactively connected with the fault prediction module 8 through the wireless network.
Compared with the prior art, the product production line can be tracked and monitored by the platform, the manufacturer can rapidly identify and solve the existing quality problem, the quality and reliability of the product can be effectively improved, meanwhile, the manufacturer can timely take preventive maintenance measures by predicting the future failure probability of the production line and the equipment, unnecessary production interruption and downtime are reduced, the overall production efficiency is improved, and in addition, the traceability function provided by the platform enables the manufacturer to track the production process of each product so as to rapidly conduct investigation and product recall when the quality problem occurs, so that the traceability of the product is enhanced.
Example 2: in other aspects, in this embodiment, the analysis and judgment module 4 is interactively connected with an evaluation module 9 through a wireless network, the evaluation module 9 is used for evaluating the data result processed by the analysis and judgment module 4, analyzing and evaluating the quality score, the evaluation module 9 is interactively connected with a perfection judgment module 10 through the wireless network, the perfection judgment module 10 is used for judging whether the evaluation result output by the evaluation module 9 is perfected, if yes, a secondary detection flow is triggered, a detection command is submitted to the attribute detection module 2 again, the current product is re-detected, the repeatable index of the re-detection command submitted by the perfection judgment module 10 is edited by manual customization, and if exceeding the repeatable index, the product is removed;
the evaluation result obtained by the evaluation module 9 reflects the accuracy of the current evaluation data by analyzing the fitting degree of the evaluation value and the real value, and the calculation formula is as follows:
；
wherein R represents an accuracy coefficient, T represents a true value, E represents an evaluation value, and n represents the number of samples.
Compared with the prior art, by monitoring and evaluating the perfection of the detection result, the manufacturer can know the problems and the bottleneck in the production process more accurately, so that effective measures can be taken to improve the production flow and quality control. The method can improve the competitiveness of enterprises, reduce the production risk and ensure the stability of the product quality.
Example 3: in this embodiment, the prediction result of the fault prediction module 8 is evaluated by obtaining a predicted value and an actual value to calculate an average absolute percentage error, and the calculation formula is as follows:
；
where Q represents the average absolute percentage error coefficient, m represents the number of samples,representing the actual value +.>Representing the predicted value.
The invention can rapidly identify and solve the existing quality problems through the platform for tracking and monitoring the production line of the problem product, effectively improve the quality and reliability of the product, and simultaneously, through predicting the future failure probability of the production line and the device, the manufacturer can timely take preventive maintenance measures, reduce unnecessary production interruption and downtime, improve the overall production efficiency, and in addition, the traceability function provided by the platform enables the manufacturer to track the production process of each product so as to rapidly carry out investigation and product recall when the quality problems occur, thereby enhancing the traceability of the product;
by monitoring and evaluating the perfection of the test results, manufacturers can more accurately understand the problems and bottlenecks in the production process, so that effective measures can be taken to improve the production flow and quality control. The method can improve the competitiveness of enterprises, reduce the production risk and ensure the stability of the product quality.
The above embodiments are only for illustrating the technical solution of the present invention, and are not limiting; while the invention has been described in detail with reference to the foregoing embodiments, it will be appreciated by those skilled in the art that variations may be made in the techniques described in the foregoing embodiments, or equivalents may be substituted for elements thereof; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention.
Claims (10)
1. An electronic component quality inspection platform, comprising:
the management and control module (1) is used for controlling the operation of each functional module, providing visual display authority of data and supporting the export of a data report;
the attribute detection module (2) is used for detecting data of the current and the maintenance voltage which are fed into the electronic component in the running state through the sensor and converting the data into a machine-readable language;
the data acquisition module (3) is used for acquiring the converted current and voltage data, transmitting the converted current and voltage data to the background for processing and analysis, and judging whether the value of the converted current and voltage data is in a preset rated range or not;
the analysis judging module (4) is used for evaluating according to the processed data result and judging whether the quality of the electronic component is qualified or not;
the fault marking module (5) is used for marking the defective product judged to be unqualified and stopping the action of transmitting the defective product to the subsequent process;
the traceability module (6) is used for acquiring the problem products and inquiring the processing production line and equipment information of the problem products;
the extraction module (7) is used for acquiring the operation parameters of the processing production line and equipment of the problem product and analyzing the cause of the problem;
the fault prediction module (8) is used for predicting the future fault rate based on the historical fault data of the current problem product processing production line and equipment and the acquired current operation parameters and outputting the future fault rate to the management and control module (1).
2. The electronic component quality inspection platform according to claim 1, wherein the acquiring content of the visualization authority of the management and control module (1) includes: detection results, evaluation results and traceability information.
3. An electronic component quality inspection platform according to claim 1, wherein the data report attributes derived by the management and control module (1) include: detection reports, analysis reports, assessment reports and prediction reports.
4. An electronic component quality inspection platform according to claim 1, characterized in that the data acquisition module (3) is equipped with a communication module for data exchange and integration with associated systems and devices.
5. The electronic component quality detection platform according to claim 1, wherein the analysis and judgment module (4) is interactively connected with an evaluation module (9) through a wireless network, and the evaluation module (9) is used for evaluating the data result processed by the analysis and judgment module (4) and analyzing and evaluating the quality score.
6. The electronic component quality detection platform according to claim 5, wherein the evaluation module (9) is interactively connected with a perfection judgment module (10) through a wireless network, the perfection judgment module (10) is used for judging whether the evaluation result output by the evaluation module (9) is perfected, if yes, a secondary detection flow is triggered, a detection command is submitted to the attribute detection module (2) again, and the current product is detected again.
7. The electronic component quality inspection platform according to claim 6, wherein the repeatable index of the re-inspection command submitted by the perfection judgment module (10) is edited by manual customization, and the product is rejected if the repeatable index is exceeded.
8. The electronic component quality inspection platform according to claim 1, wherein the prediction result of the failure prediction module (8) is evaluated by obtaining a predicted value and an actual value to calculate an average absolute percentage error, and the calculation formula is:
；
where Q represents the average absolute percentage error coefficient, m represents the number of samples,representing the actual value +.>Representing the predicted value.
9. The electronic component quality inspection platform according to claim 6, wherein the evaluation result obtained by the evaluation module (9) reflects the accuracy of the current evaluation data by analyzing the fitting degree of the evaluation value and the true value, and the calculation formula is:
；
wherein R represents an accuracy coefficient, T represents a true value, E represents an evaluation value, and n represents the number of samples.
10. The electronic component quality detection platform according to claim 1, wherein the management and control module (1) is in interactive connection with the attribute detection module (2) through a wireless network, the attribute detection module (2) is in interactive connection with the data acquisition module (3) through the wireless network, the data acquisition module (3) is in interactive connection with the analysis judgment module (4) through the wireless network, the analysis judgment module (4) is in interactive connection with the fault marking module (5) through the wireless network, the fault marking module (5) is in interactive connection with the tracing module (6) through the wireless network, the tracing module (6) is in interactive connection with the extraction module (7) through the wireless network, and the extraction module (7) is in interactive connection with the fault prediction module (8) through the wireless network.
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