Device for fully automatically detecting charger product by AI data technology

Abstract

The invention relates to the technical field of charger product abnormal sound detection, and particularly discloses an AI data technology-based charger product full-automatic detection device, which is characterized by comprising a mute driving mechanism, a sound insulation cavity, a sound sensor and a data processing unit, the mute driving mechanism is used for driving the charger product to shake in the sound insulation cavity, and the sound sensor is arranged in the sound insulation cavity and used for capturing sound signals generated when the charger product shakes. And the data processing unit is electrically connected with the sound sensor and is used for analyzing and judging the sound signal based on a big data model. According to the invention, manual detection is replaced by automatic detection operation of the charger product, the labor cost and manual errors are reduced, and the efficient and accurate detection requirements are met.

Description

Technical Field

[0001] This application relates to the technical field of abnormal sound detection for charger products, and particularly to a device for fully automatically detecting charger products using AI data technology. Background Art

[0002] The quality inspection of charger products is an important link to ensure the reliability of electronic products and the user experience. Against the backdrop of the rapid development of modern electronic devices, the production volume of chargers such as intelligent fast chargers and power adapters is increasing day by day, and the complexity of their internal structures is also constantly rising. To ensure product quality, charger products need to be strictly inspected after assembly, and abnormal sound detection is a key step among them. Traditional abnormal sound detection mainly relies on manual operation. In a soundproof room, the product is shaken and the presence of abnormal sounds is judged by hearing. Although this method is simple and easy to implement, its efficiency and accuracy are significantly affected by the experience and subjective factors of the operators.

[0003] Currently, the technical means for abnormal sound detection of charger products mainly include manual auditory judgment, simple mechanical shaking devices combined with manual recording, and preliminary sound collection devices combined with basic data analysis. Manual auditory judgment is the most traditional detection method. The inspector shakes the product manually and listens to the sound in a specific environment to judge whether there is an abnormality. The application of mechanical shaking devices replaces manual shaking with a robotic arm or vibration platform with a fixed trajectory, but manual participation is still required for sound discrimination and recording. In addition, some enterprises have begun to try using sound collection devices to record the sound signals during shaking through a microphone array and use simple spectrum analysis software for preliminary judgment. However, these methods usually lack the support of deep learning models and are difficult to achieve accurate judgment.

[0004] However, the above methods generally have the problems of strong subjectivity of detection results, high error rates, and low efficiency. Especially when faced with large-scale production requirements, the limitations of traditional detection methods become more obvious. Particularly under the interference of complex environmental noise, the existing technology is difficult to accurately capture and analyze the weak abnormal sound signals generated inside charger products, resulting in insufficient reliability of detection results and being unable to meet the requirements of modern industry for efficient and accurate detection. Summary of the Invention

[0005] In order to replace manual operation with automatic detection of charger products, reduce labor costs and human errors, and thus meet the requirements of efficient and accurate detection, this application provides a device for fully automatically detecting charger products using AI data technology.

[0006] A device for fully automatically detecting charger products using AI data technology provided by this application adopts the following technical solutions: A device for fully automatic detection of charger products using AI data technology, comprising a silent drive mechanism, a sound insulation cavity, a sound sensor, and a data processing unit. The silent drive mechanism is used to drive the charger product to perform a shaking action within the sound insulation cavity. The sound sensor is disposed within the sound insulation cavity to capture the sound signal generated during the shaking action of the charger product. The data processing unit is electrically connected to the sound sensor and is used to analyze and judge the sound signal based on a big data model.

[0007] By adopting the above technical solution, the silent drive mechanism and the sound insulation cavity cooperate to achieve the shaking action of the charger product. The sound sensor is disposed within the sound insulation cavity to capture the sound signal, and the data processing unit analyzes and judges the sound signal through the big data model, thereby realizing a unmanned and automated detection process, reducing labor costs and human errors, and meeting the requirements of efficient and accurate detection.

[0008] Preferably, the silent drive mechanism includes a drive motor and a transmission component. The drive motor is located outside the sound insulation cavity, and the charger product is located inside the sound insulation cavity. The drive motor is connected to the charger product through the transmission component.

[0009] By adopting the above technical solution, the drive motor is located outside the sound insulation cavity so that the noise generated by the drive motor driving operation will not interfere with the detection within the sound insulation cavity. The drive motor drives the charger product inside the sound insulation cavity to achieve the shaking action through the transmission component, thereby effectively reducing the influence of external noise on the detection result.

[0010] Preferably, the transmission component is set as a crank - connecting rod structure. One end of the crank - connecting rod structure is connected to the delivery shaft of the drive motor, and the other end of the crank - connecting rod structure is connected to the charger product.

[0011] By adopting the above technical solution, the crank - connecting rod structure can ensure sufficient flexibility and stability during the transmission process.

[0012] Preferably, the sound insulation cavity is provided with multiple layers of sound insulation layers, and the multiple layers of sound insulation layers are sequentially fixedly bonded to the inner side wall of the sound insulation cavity.

[0013] By adopting the above technical solution, the multiple layers of sound insulation layers form a good sound insulation barrier, which is beneficial to reducing the interference of external noise.

[0014] Preferably, the multiple layers of sound insulation layers include an outer steel plate, a middle sound - absorbing cotton, and an inner damping layer. The outer steel plate and the inner damping layer are respectively disposed on both sides of the middle sound - absorbing cotton.

[0015] By adopting the above technical solutions, the outer steel plate has good sound insulation effect and protective performance. The middle sound-absorbing cotton can effectively absorb high-frequency and medium-frequency noises, and the inner damping layer is beneficial to suppressing low-frequency resonance, cooperating to form a complete sound insulation barrier, thus being beneficial to improving the sound insulation effect.

[0016] Preferably, the sound sensor is set as a directional pickup, and the directional pickup is oriented towards a preset shaking area of the charger product.

[0017] By adopting the above technical solutions, the core component of the directional pickup is a capacitive microphone array, which consists of multiple micro-capacitive microphones. Each microphone is arranged at a specific angle, and a highly directional acoustic acquisition area can be formed, being beneficial to improving the accuracy of sound acquisition.

[0018] Preferably, it further includes a support frame for supporting and fixing the silent driving mechanism and the sound insulation cavity.

[0019] By adopting the above technical solutions, the support frame supports the silent driving mechanism and the sound insulation cavity, being beneficial to improving the stability of the driving action of the silent driving mechanism and the sound insulation effect of the sound insulation cavity.

[0020] Preferably, the support frame includes a base and a column. The base is used for installing the silent driving mechanism, and the column is used for supporting the sound insulation cavity.

[0021] By adopting the above technical solutions, the base supports the silent driving mechanism, and the column supports the sound insulation cavity, separating the silent driving mechanism from the sound insulation cavity, being beneficial to further preventing the interference caused by the driving action of the silent driving mechanism to the sound insulation cavity.

[0022] Preferably, it further includes a positioning component, and the positioning component is used for fixing the charger product on the shaking path of the silent driving mechanism.

[0023] By adopting the above technical solutions, the silent driving mechanism positions the charger product through the positioning component, thus facilitating the shaking action of the silent driving mechanism on the charger product.

[0024] Preferably, the positioning component includes a clamping jaw and an adjusting rod, and the clamping jaw is connected to the silent driving mechanism through the adjusting rod.

[0025] By adopting the above technical solutions, the clamping jaw grabs the charger product to clamp and fix the charger product, and the silent driving mechanism can adjust the connection posture with the clamping jaw through the adjusting rod, thus being applicable to charger products of different shapes and sizes.

[0026] In summary, the present application includes at least one of the following beneficial technical effects: 1. By setting up a mute driving mechanism, a sound insulation cavity, a sound sensor, and a data processing unit, the mute driving mechanism and the sound insulation cavity cooperate to achieve the shaking action of the charger product. The sound sensor is arranged inside the sound insulation cavity to capture sound signals, and the data processing unit analyzes and judges the sound signals through a big data model, thus realizing an unmanned and automated detection process, reducing labor costs and human errors, and meeting the requirements of efficient and accurate detection.

[0027] 2. By setting up an outer steel plate, a middle sound-absorbing cotton, and an inner damping layer, the outer steel plate has good sound insulation effect and protection performance, the middle sound-absorbing cotton can effectively absorb high-frequency and medium-frequency noises, and the inner damping layer is conducive to suppressing low-frequency resonance, cooperating to form a complete sound insulation barrier, thus being conducive to improving the sound insulation effect.

[0028] 3. By setting the sound sensor as a directional pick-up microphone, the core component of the directional pick-up microphone is a capacitive microphone array, which is composed of multiple micro-capacitive microphones. Each microphone is arranged at a specific angle, and a highly directional acoustic acquisition area can be formed, which is conducive to improving the accuracy of sound acquisition. Description of the Drawings

[0029] Figure 1 is a schematic diagram of the overall structure of the device for fully automatically detecting charger products in the embodiment of the present application.

[0030] Figure 2 is a schematic diagram of the internal structure of the sound insulation cavity of the device for fully automatically detecting charger products in the embodiment of the present application.

[0031] Figure 3 is a partial vertical cross-sectional view of the multi-layer sound insulation layer in the embodiment of the present application.

[0032] Description of the Reference Numerals: 1. Mute driving mechanism; 11. Driving motor; 12. Transmission component; 2. Sound insulation cavity; 3. Sound sensor; 4. Data processing unit; 5. Multi-layer sound insulation layer; 51. Outer steel plate; 52. Middle sound-absorbing cotton; 53. Inner damping layer; 6. Support frame; 61. Base; 62. Column; 7. Positioning component; 71. Claw; 72. Adjusting rod. Detailed Embodiment

[0033] The following will Figures 1-3 further describe the present application in detail with reference to the attached

[0034] After the production and assembly of chargers such as intelligent fast chargers, intelligent socket strips, and power adapters are completed, they need to be tested. The testing content is that after the combined internal circuit is installed and encapsulated in the housing, the product needs to be shaken and the sound inside is listened for to determine whether there are any defective products. Currently, it is usually manual operation in a soundproof room and the judgment is based on experience. Affected by subjective factors and experience, the test data of the product is not objective and reliable, and there are defects that will cause errors. Therefore, this application mainly adopts the following detection scheme based on a silent drive mechanism, a soundproof cavity, a sound sensor, and a data processing unit, achieving the effect of unmanned and automated detection of abnormal sounds in charger products.

[0035] An embodiment of this application discloses a device for fully automatic detection of charger products using AI data technology. Refer to Figure 1 and Figure 2 , including a silent drive mechanism 1, a soundproof cavity 2, a sound sensor 3, and a data processing unit 4. The silent drive mechanism 1 is used to drive the charger product to perform a shaking action inside the soundproof cavity 2. The sound sensor 3 is arranged inside the soundproof cavity 2 to capture the sound signal generated when the charger product performs a shaking action. The data processing unit 4 is electrically connected to the sound sensor 3 and is used to analyze and judge the sound signal based on a big data model, thus realizing an unmanned and automated detection process.

[0036] Refer to Figure 2 , the silent drive mechanism 1 includes a drive motor 11 and a transmission component 12. The drive motor 11 is located outside the soundproof cavity 2, and the charger product is located inside the soundproof cavity 2. The drive motor 11 is connected to the charger product through the transmission component 12. It should be noted that the drive motor 11 can adopt a stepper motor or a servo motor, and its characteristics are stable operation and low noise, which can effectively reduce the influence of external noise on the test results.

[0037] Refer to Figure 2 , the transmission component 12 is set as a crank - connecting rod structure. One end of the crank - connecting rod structure is connected to the output shaft of the drive motor 11, and the other end of the crank - connecting rod structure is connected to the charger product. The crank part can be disc - shaped or oval - shaped, and the connecting rod part can be straight - shaped or bent - shaped. The two are connected by a pin shaft to ensure sufficient flexibility and stability during the transmission process. In this embodiment, the crank part is made of high - strength aluminum alloy material to reduce weight and improve durability, and the connecting rod part is made of stainless steel material to enhance rigidity and fatigue resistance. In addition, the pin shaft between the crank and the connecting rod adopts a precision ball bearing to reduce friction and extend service life.

[0038] Refer to Figure 1 and Figure 2, the device for fully automatic detection of charger products further includes a positioning component 7, and the positioning component 7 is used to fix the charger product on the shaking path of the silent driving mechanism 1. Specifically, the positioning component 7 includes a clamping jaw 71 and an adjusting rod 72. The clamping jaw 71 is connected to the silent driving mechanism 1 through the adjusting rod 72 to adjust the position of the charger product. In this embodiment, the clamping jaw 71 adopts a pneumatic clamping method. The body of the clamping jaw 71 is composed of two symmetrical clamping arms, and a rubber gasket is provided at the end of the clamping arm to prevent damage to the surface of the product. The adjusting rod 72 is selected as a ball joint structure. The ball part is connected to the silent driving mechanism 1, and the rod part is connected to the clamping jaw 71, allowing the clamping jaw 71 to freely rotate and swing within a certain range, so as to adapt to charger products of different shapes and sizes. For example, the ball diameter of the ball joint is 20 mm, the inner diameter of the ball socket is 22 mm, and grease is applied between the two to reduce friction.

[0039] Refer to Figure 2 and Figure 3 , the sound insulation cavity 2 is provided with a multi-layer sound insulation layer 5, and the multi-layer sound insulation layer 5 is sequentially fixedly bonded to the inner side wall of the sound insulation cavity 2. Specifically, the multi-layer sound insulation layer 5 includes an outer steel plate 51, a middle sound absorption cotton 52 and an inner damping layer 53. In this embodiment, the outer steel plate 51 is selected as a cold-rolled steel plate with a thickness of 2 mm, which has good sound insulation effect and protection performance; the middle sound absorption cotton is made of glass fiber material with a thickness of 50 mm, which can effectively absorb high-frequency and medium-frequency noises; the inner damping layer 53 is made of rubber base material with a thickness of 3 mm, which is mainly used to suppress low-frequency resonance. It should be noted that the outer steel plate 51 and the inner damping layer 53 are respectively located on both sides of the middle sound absorption cotton 52 to form a complete sound insulation barrier to minimize the interference of external noises.

[0040] Refer to Figure 2 , the sound sensor 3 is set as a directional pick-up, and the directional pick-up is oriented towards the preset shaking area of the charger product. It should be noted that the core component of the directional pick-up is a capacitive microphone array, which is composed of multiple micro-capacitive microphones. Each microphone is arranged at a specific angle to form a sound acquisition area with strong directivity. For example, the microphone array can be designed in a linear arrangement or a circular arrangement to meet different detection requirements. In addition, the pick-up housing is wrapped with a shock-absorbing material, such as silicone or foam plastic, to avoid the interference of the vibration of the device itself on the sound signal.

[0041] Refer to Figure 1 and Figure 2, the data processing unit 4 is connected to the sound sensor 3 wirelessly or wiredly, and is built with a big data model based on deep learning for real-time analysis and judgment of sound signals. The core hardware of the data processing unit 4 includes a high-performance processor, a storage module, and a communication interface. The processor is responsible for running deep learning algorithms, the storage module is used to save the trained model and historical data, and the communication interface is used to interact with other devices. For example, the processor can select an ARM Cortex-A series chip, which features high performance and low power consumption; the storage module can choose a solid-state drive or a flash card, and its capacity can be flexibly configured according to actual needs; the communication interface supports multiple protocols such as USB, Ethernet, or Wi-Fi, facilitating integration into the existing production line.

[0042] Referring to Figure 1 and Figure 2 , the device for automatically detecting charger products further includes a support frame 6 for supporting and fixing the silent driving mechanism 1 and the sound insulation cavity 2. Specifically, the support frame 6 includes a base 61 and a column 62. The base 61 is used to install the silent driving mechanism 1, and the column 62 is used to support the sound insulation cavity 2. The base 61 adopts a rectangular frame structure, which is welded by steel beams and is provided with anti-slip pads at the bottom to increase stability. For example, the steel beams can be square steel pipes with a specification of 80mm×40mm×3mm, and the anti-slip pads are made of rubber with a thickness of 10mm. The column 62 is an adjustable-height telescopic rod, which consists of an outer layer sleeve and an inner layer sleeve. The outer layer sleeve has a diameter of 60mm, and the inner layer sleeve has a diameter of 50mm. The two are connected by threads, and the height position of the sound insulation cavity 2 can be adjusted according to actual needs.

[0043] The implementation principle of the device for automatically detecting charger products by an AI data technology in this application embodiment is as follows: When it is necessary to detect charger products, the staff place the charger products on the shaking path of the silent driving mechanism 1 and fix their positions through the positioning component 7. Then, the silent driving mechanism 1 is started to drive the charger products to shake in the sound insulation cavity 2 according to a preset trajectory. At the same time, the sound sensor 3 captures the sound signals generated when the charger products shake and transmits the signals to the data processing unit 4. The data processing unit 4 analyzes the sound signals based on the pre-trained big data model to judge whether there are abnormal sounds in the charger products, outputs the detection results, and records relevant data as needed for subsequent analysis. During the entire detection process, the automatic shaking of the charger products is realized through the silent driving mechanism 1, the external noise is isolated by the sound insulation cavity 2, the sound signals inside the products are accurately captured by the sound sensor 3, and intelligent analysis and judgment are carried out by the data processing unit 4 in combination with the big data model. Compared with the traditional manual auditory judgment method, this solution not only eliminates the interference of human factors, but also greatly improves the detection efficiency and accuracy, providing a reliable technical guarantee for the quality control of charger products.

[0044] The above are all preferred embodiments of the present application, and do not limit the protection scope of the present application accordingly. Therefore, any equivalent changes made according to the structure, shape, and principle of the present application shall be covered within the protection scope of the present application.

Claims

1. An apparatus for fully automatically detecting charger products using AI data technology, characterized in that: It includes a mute driving mechanism (1), a sound insulation cavity (2), a sound sensor (3), and a data processing unit (4). The mute driving mechanism (1) is used to drive the charger product to perform a shaking action within the sound insulation cavity (2). The sound sensor (3) is arranged within the sound insulation cavity (2) to capture the sound signal generated when the charger product performs a shaking action. The data processing unit (4) is electrically connected to the sound sensor (3) and is used to analyze and judge the sound signal based on a big data model.

2. The device for fully automatically detecting charger products of AI data technology according to claim 1, characterized in that: The mute driving mechanism (1) includes a driving motor (11) and a transmission component (12). The driving motor (11) is located outside the sound insulation cavity (2), and the charger product is located inside the sound insulation cavity (2). The driving motor (11) is connected to the charger product through the transmission component (12).

3. The device for fully automatic detection of charger products using AI data technology according to claim 2, characterized in that: The transmission component (12) is set as a crank - connecting rod structure. One end of the crank - connecting rod structure is connected to the delivery shaft of the driving motor (11), and the other end of the crank - connecting rod structure is connected to the charger product.

4. The device for fully automatically detecting a charger product of AI data technology according to claim 1, wherein: The sound insulation cavity (2) is provided with multiple layers of sound insulation layers (5), and the multiple layers of sound insulation layers (5) are sequentially fixedly bonded to the inner side wall of the sound insulation cavity (2).

5. The device for fully automatically detecting charger products of an AI data technology according to claim 4, characterized in that: The multiple layers of sound insulation layers (5) include an outer steel plate (51), a middle sound - absorbing cotton (52), and an inner damping layer (53). The outer steel plate (51) and the inner damping layer (53) are respectively arranged on both sides of the middle sound - absorbing cotton (52).

6. The device for fully automatically detecting charger products of AI data technology according to claim 1, wherein: The sound sensor (3) is set as a directional pick - up microphone, and the directional pick - up microphone faces a preset shaking area of the charger product.

7. The device for fully automatic detection of charger products using AI data technology according to claim 1, characterized in that: It also includes a support frame (6) for supporting and fixing the mute driving mechanism (1) and the sound insulation cavity (2).

8. The device for fully automatically detecting charger products of AI data technology according to claim 7, characterized in that: The support frame (6) includes a base (61) and a column (62). The base (61) is used to install the mute driving mechanism (1), and the column (62) is used to support the sound insulation cavity (2).

9. The device for fully automatically detecting charger products of AI data technology according to claim 1, characterized in that: It also includes a positioning component (7), and the positioning component (7) is used to fix the charger product on the shaking path of the mute driving mechanism (1).

10. The device for fully automatically detecting charger products using AI data technology according to claim 9, wherein: The positioning component (7) includes a jaw (71) and an adjusting rod (72), and the jaw (71) is connected to the mute driving mechanism (1) through the adjusting rod (72).

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