Special soldering tin testing machine for motor rotor
By designing the conveyor and testing module of the solder testing machine and combining it with a deep learning model, the problem of abnormal recording and traceability analysis in the solder testing process in the existing technology has been solved, and efficient solder testing and fault location have been achieved.
Patent Information
- Application Number
- CN202511286551.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-09-10
- Publication Date
- 2025-11-18
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
Existing soldering testing technologies are unable to effectively record and track abnormalities during the soldering testing process, lack detailed traceability analysis capabilities, making it difficult to quickly locate the root cause of product failures, and the soldering process is inconvenient to implement.
A solder testing machine specifically designed for motor rotors was designed, comprising a conveyor, a testing mechanism, an image acquisition component, and a detection module. Solder fumes are collected and strength is tested using an electro-hydraulic rod and a brush driven by a dual-axis motor, and an anomaly analysis and source tracing are performed using a deep learning detection model.
It combines automated absorption of solder fumes with intensity testing, improving testing efficiency, enabling rapid identification of fault causes, and enhancing the accuracy and precision of product quality control and testing.
Smart Images

Figure CN120971450A_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The present application relates to the technical field of solder testing, in particular to a solder testing machine special for motor rotors. BACKGROUND
[0002] The motor is a key component widely used in the fields of industry, household appliances and transportation, and the rotor is an important part of the motor. The manufacturing and assembly process of the rotor requires complex precision technology. Soldering is an important method for connecting electrical and mechanical components, and its quality directly affects the performance and reliability of the motor. With the advancement of welding equipment, the quality requirements for solder joints are becoming higher and higher. Solder quality problems may cause motor failure or shorten the service life. Therefore, real-time detection and quality evaluation of soldering become very important.
[0003] With the advancement of automation and information technology, machine vision, image processing, sensor technology, etc. have been widely used in solder detection. Traditional manual detection methods are not only inefficient, but also subjective and prone to misjudgment. Modern detection technology can achieve high-precision, high-speed automatic detection, improving production efficiency and product quality.
[0004] However, the existing solder testing technology usually has difficulty in effectively recording and tracking abnormal situations during the strength test of the soldered rotor. It lacks detailed traceability analysis function, making it difficult to quickly locate the problem source when the product fails. Moreover, the soldering process lacks gain. Due to the different fixed states of each element at the soldered position, the strength test process is inconvenient to implement, or the resulting structure is redundant. SUMMARY
[0005] (I) Technical problems solved
[0006] In view of the above-mentioned shortcomings of the prior art, the present application provides a solder testing machine special for motor rotors, which can effectively solve the problems of the prior art.
[0007] (II) Technical solutions
[0008] To achieve the above-mentioned purposes, the present application is realized by the following technical solutions,
[0009] The present application discloses a solder testing machine special for motor rotors, which comprises a conveying table, a testing mechanism, an image acquisition component and a detection module. The detection module is installed on the surface of the conveying table, the testing mechanism is arranged on one side of the conveying table, and the image acquisition component is arranged on one side of the testing mechanism.
[0010] The conveying table is used to carry the soldered motor rotor for testing and to carry various functional components and functional modules.
[0011] The testing facility is used for dual continuous processing of soldering fume collection and post-soldering stability testing of electronic rotors after soldering.
[0012] Image acquisition unit, used to acquire image data of the solder joint on the motor rotor;
[0013] The detection module is used to analyze the anomalies in the images submitted by the image acquisition unit, trace the causes of the anomalies, and provide corresponding correction strategies.
[0014] Furthermore, the testing mechanism includes an electro-hydraulic rod. The bottom end of the outer rod of the electro-hydraulic rod is fixedly connected to one end of the conveyor table. A sleeve block is fixedly connected to the top end of the inner rod of the electro-hydraulic rod. A control housing is provided at the top end of the sleeve block. A dual-axis motor is installed inside the control housing. Fan blade one and fan blade two are respectively installed on the output shafts at the left and right ends of the dual-axis motor. A fixed housing is connected to the right end of the control housing. A connecting plate is provided inside the fixed housing. Brushes are evenly fixedly connected to the top end of the connecting plate. A sector gear meshes with the bottom end of the connecting plate. A rotating shaft is inserted through the surface of the sector gear. The left end of the rotating shaft extends through the fixed housing into the interior of the control housing. The left end of the rotating shaft is fixedly connected to the right end of the central shaft of fan blade two. The image acquisition component is installed at the right end of the fixed housing.
[0015] Furthermore, both the front and rear ends of the control housing are rotatably connected to the inner wall of the sleeve block. A servo motor is mounted on the surface of the sleeve block. The output shaft of the servo motor passes through the sleeve block and is fixedly connected to the surface of the control housing. The output shaft of the servo motor is rotatably connected to the front side of the sleeve block.
[0016] Furthermore, a pull rod is inserted into the top of the control housing, and a filter plate is fixedly connected to the bottom of the pull rod. The filter plate is slidably connected to the control housing, and protrusions are fixedly connected to the left and right sides of the bottom of the pull rod. The filter plate is used to purify the gas entering the control housing.
[0017] Furthermore, the bottom end of the connecting plate is evenly provided with toothed grooves that are adapted to the sector gears, and the connecting plate moves through the meshing transmission of the sector gears and the toothed grooves.
[0018] Furthermore, telescopic rods are provided at both the front and rear ends of the connecting plate. The outer rods of the telescopic rods are fixedly connected to the surface of the connecting plate, and the inner rods of the telescopic rods are fixedly connected to the inner wall of the fixed shell. A spring is sleeved on the surface of the telescopic rod, with one end of the spring fixedly connected to the inner rod of the telescopic rod and the other end of the spring fixedly connected to the outer rod of the telescopic rod.
[0019] Furthermore, the surface of the connecting plate is uniformly provided with ventilation holes, which serve as the outlet for the airflow generated when the fan blades start.
[0020] Furthermore, the detection module is further equipped with sub-modules, which include:
[0021] The control module is used to receive user input commands, schedule the work of each module, start, stop and manage the running status of each sub-module;
[0022] The extraction module is used to acquire real-time images from the image acquisition component and perform preprocessing.
[0023] The module is used to build a detection model using deep learning algorithms. It takes labeled solder area image data as input for training and outputs normal or abnormal state data of the solder area image.
[0024] The analysis module is used to obtain the detection model trained by the model building module, analyze the image data extracted in real time by the extraction module through the detection model, and output the anomaly detection results at the solder joint.
[0025] The judgment module is used to determine whether the anomaly detection results meet the preset standard threshold based on the anomaly detection results output by the analysis module, and output the judgment result.
[0026] The tag output module is triggered when the judgment result output by the judgment module is that the abnormal detection result does not meet the standard threshold. It performs several tagging processes on the abnormal detection result at the solder joint, including encoding and labeling information related to the abnormality type, location and degree, and generating structured data.
[0027] The storage module serves as a storage end for historically tagged exception information, and supports custom editing of the adjustment strategies corresponding to each tagged exception information for associated storage;
[0028] The traceability module is used to record the rotor batch, time, environment, and related operator information of the current anomaly detection results, and submit them to the management terminal.
[0029] The adjustment matching module is used to index the storage module based on several tags of the current anomaly detection results, obtain the adjustment strategy of the associated tags, and submit it to the control module.
[0030] Furthermore, the judgment module is interconnected with a configuration module via a wireless network. The configuration module is used to receive user adjustments to the standard threshold and automatic adjustments to the standard threshold by the program.
[0031] Furthermore, the control module and the extraction module are interconnected via a wireless network, the extraction module and the construction module are interconnected via a wireless network, the construction module and the analysis module are interconnected via a wireless network, the analysis module and the judgment module are interconnected via a wireless network, the judgment module and the tag output module are interconnected via a wireless network, and the tracing module, the tag output module, the storage module, and the adjustment and matching module are interconnected via a wireless network.
[0032] (III) Beneficial Effects
[0033] Compared with known prior art, the technical solution provided by this invention has the following beneficial effects:
[0034] 1. By setting up a testing mechanism, when the dual-axis motor is started, the control shell absorbs the fumes generated during the soldering process. When the control shell flips, the brush is automatically positioned at the soldering point of the motor rotor, so that the brush performs a cyclical and flexible pushing test on the soldering point component. At the same time, the fixed shell generates airflow that acts on the soldering point. Thus, the device can conveniently combine the absorption of solder fumes with the strength test of the soldering component. Through the integrated structural design, the dual functions of the device can be automatically switched, thereby improving testing efficiency and reducing pollution during the testing process.
[0035] 2. By analyzing and tracing the anomalies in the detection module, abnormal situations in the soldering process can be effectively recorded and tracked, and detailed traceability analysis functions can be provided to quickly locate the root cause of product failures and improve the efficiency and accuracy of product quality control.
[0036] 3. By constructing a deep learning detection model, the system automatically identifies normal or abnormal states at the solder joints and tags abnormalities when they are detected. Custom management of historical tagged abnormal information allows users to flexibly edit and adjust strategies based on tag information and store related data. When real-time abnormal data with similar tag information appears, direct matching is performed, improving data availability and relevance. This achieves comprehensive abnormal monitoring, intelligent analysis, real-time data processing, and high customizability, thereby improving the efficiency and accuracy of solder joint detection. Attached Figure Description
[0037] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the accompanying drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are merely some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without any creative effort.
[0038] Figure 1 This is a three-dimensional structural diagram of the present invention;
[0039] Figure 2 This is a side cross-sectional view of the testing mechanism in this invention;
[0040] Figure 3 In this invention Figure 2 A magnified view of the structure at point A in the middle;
[0041] Figure 4 This is a three-dimensional structural diagram of the connecting plate, rotating shaft, sector gear, and brush in this invention;
[0042] Figure 5 This is a three-dimensional structural diagram of the control housing, sleeve block, servo motor and fixed housing in this invention;
[0043] Figure 6 This is a schematic diagram of the overall framework of the present invention;
[0044] Figure 7 This is a schematic diagram of the detection module in this invention.
[0045] The labels in the diagram represent:
[0046] 1. Conveyor table;
[0047] 2. Testing mechanism; 21. Electro-hydraulic rod; 22. Sleeve block; 23. Control housing; 24. Dual-axis motor; 25. Fan blade one; 26. Fan blade two; 27. Tie rod; 28. Filter plate; 29. Fixing housing; 210. Connecting plate; 211. Rotating shaft; 212. Sector gear; 213. Brush; 214. Telescopic rod; 215. Spring; 216. Servo motor;
[0048] 3. Image acquisition component;
[0049] 4. Detection module. Detailed Implementation
[0050] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative effort are within the scope of protection of the present invention.
[0051] The present invention will be further described below with reference to embodiments.
[0052] Example 1
[0053] This embodiment describes a soldering tester specifically designed for motor rotors, such as... Figures 1-7As shown, the system includes a conveyor platform 1, a testing mechanism 2, an image acquisition component 3, and a detection module 4. The detection module 4 is mounted on the surface of the conveyor platform 1. The testing mechanism 2 is located on one side of the conveyor platform 1, and the image acquisition component 3 is located on one side of the testing mechanism 2.
[0054] Conveyor 1 is used to transport the soldered motor rotor to be tested and to support various functional components and modules.
[0055] Test unit 2 is used for dual continuous processing of soldering fume collection and post-soldering stability testing of the electronic rotor after soldering;
[0056] As a preferred embodiment of this example, Figure 2 As shown, the testing mechanism 2 includes an electro-hydraulic rod 21. The bottom end of the outer rod of the electro-hydraulic rod 21 is fixedly connected to one end of the conveyor table 1. The top end of the inner rod of the electro-hydraulic rod 21 is fixedly connected to a sleeve block 22. The top end of the sleeve block 22 is provided with a control shell 23. A dual-axis motor 24 is installed inside the control shell 23. Fan blade 1 25 and fan blade 26 are respectively installed on the output shafts at the left and right ends of the dual-axis motor 24. The right end of the control shell 23 is connected to a fixed shell 29. A connecting plate 210 is provided inside the fixed shell 29. A brush 213 is evenly fixedly connected to the top end of the connecting plate 210. A sector gear 212 meshes with the bottom end of the connecting plate 210. A rotating shaft 211 is inserted through the surface of the sector gear 212. The left end of the rotating shaft 211 extends through the fixed shell 29 into the interior of the control shell 23. The left end of the rotating shaft 211 is fixedly connected to the right end of the central shaft of the fan blade 26. The image acquisition component 3 is installed on the right end of the fixed shell 29.
[0057] As a preferred embodiment of this example, Figure 2 As shown, the front and rear ends of the control housing 23 are rotatably connected to the inner wall of the sleeve block 22. A servo motor 216 is mounted on the surface of the sleeve block 22. The output shaft of the servo motor 216 passes through the sleeve block 22 and is fixedly connected to the surface of the control housing 23. The output shaft of the servo motor 216 is rotatably connected to the front of the sleeve block 22. A pull rod 27 is inserted into the top of the control housing 23. A filter plate 28 is fixedly connected to the bottom of the pull rod 27. The filter plate 28 is slidably connected to the control housing 23. Protrusions are fixedly connected to the left and right sides of the bottom of the pull rod 27. The filter plate 28 is used to purify the gas entering the control housing 23.
[0058] As a preferred embodiment of this example, Figure 4As shown, the bottom end of the connecting plate 210 is evenly provided with tooth grooves that are adapted to the sector gear 212. The connecting plate 210 moves through the meshing transmission of the sector gear 212 and the tooth grooves. Both the front and rear ends of the connecting plate 210 are provided with telescopic rods 214. The outer rods of the telescopic rods 214 are fixedly connected to the surface of the connecting plate 210, and the inner rods of the telescopic rods 214 are fixedly connected to the inner wall of the fixed shell 29. The surface of the telescopic rods 214 is fitted with springs 215. One end of the springs 215 is fixedly connected to the inner rod of the telescopic rods 214, and the other end of the springs 215 is fixedly connected to the outer rod of the telescopic rods 214. The surface of the connecting plate 210 is evenly provided with vent holes. The vent holes on the surface of the connecting plate 210 serve as the outlet for the airflow generated when the second fan blade 26 starts.
[0059] Image acquisition component 3 is used to acquire image data of the solder joint on the motor rotor;
[0060] The detection module 4 is used to analyze the abnormalities in the images submitted by the image acquisition unit 3, trace the causes of the abnormalities, and provide corresponding correction strategies.
[0061] Compared with existing technologies, when the dual-axis motor 24 is started, the control housing 23 absorbs the fumes from soldering. When the control housing 23 is flipped, the brush 213 is automatically positioned at the solder joint of the motor rotor, allowing the brush 213 to perform a cyclical and flexible pushing test on the solder joint component. Simultaneously, airflow is generated at the fixed housing 29 and acts on the solder joint. This allows the device to conveniently combine the absorption of solder fumes with the strength testing of solder components. Through the integrated structural design, the dual functions of the device can be automatically switched, thereby improving testing efficiency and reducing pollution during the testing process.
[0062] Example 2
[0063] At other levels, this embodiment also provides a detection module 4, such as Figure 6 and Figure 7 As shown, detection module 4 has sub-modules deployed at its lower level, including:
[0064] The control module is used to receive user input commands, schedule the work of each module, start, stop and manage the running status of each sub-module;
[0065] The extraction module is used to acquire real-time images from the image acquisition component 3 and perform preprocessing.
[0066] The module is used to build a detection model using deep learning algorithms. It takes labeled solder area image data as input for training and outputs normal or abnormal state data of the solder area image.
[0067] The analysis module is used to obtain the detection model trained by the model building module, analyze the image data extracted in real time by the extraction module through the detection model, and output the anomaly detection results at the solder joint.
[0068] The judgment module is used to determine whether the anomaly detection results meet the preset standard threshold based on the anomaly detection results output by the analysis module, and outputs the judgment result. The judgment module is connected to the configuration module via a wireless network. The configuration module is used to receive user adjustment operations on the standard threshold and automatic adjustment operations on the standard threshold by the program.
[0069] The tag output module is triggered when the judgment result output by the judgment module is that the abnormal detection result does not meet the standard threshold. It performs several tagging processes on the abnormal detection result at the solder joint, including encoding and labeling information related to the abnormality type, location and degree, and generating structured data.
[0070] The storage module serves as a storage end for historically tagged exception information, and supports custom editing of the adjustment strategies corresponding to each tagged exception information for associated storage;
[0071] The traceability module is used to record the rotor batch, time, environment, and related operator information of the current anomaly detection results, and submit them to the management terminal.
[0072] The adjustment matching module is used to index the storage module based on several tags of the current anomaly detection results, obtain the adjustment strategy of the associated tags, and submit it to the control module.
[0073] As a preferred embodiment of this example, Figure 7 As shown, the control module and the extraction module are interconnected via a wireless network, the extraction module and the construction module are interconnected via a wireless network, the construction module and the analysis module are interconnected via a wireless network, the analysis module and the judgment module are interconnected via a wireless network, the judgment module and the tag output module are interconnected via a wireless network, and the tracing module, the tag output module, the storage module, and the adjustment and matching module are interconnected via a wireless network.
[0074] Compared with existing technologies, by collecting real-time image data of the soldering location and preprocessing it using an extraction module, the timeliness and accuracy of the data are ensured, providing a high-quality data foundation for subsequent anomaly detection.
[0075] By utilizing deep learning algorithms to build a detection model, the detection of normal and abnormal states at the solder joint becomes more intelligent and accurate. The model can continuously learn and self-optimize, improving test results and reliability. It can then analyze image data of the motor rotor solder joint in real time, identify abnormal situations, and perform source analysis. If a problem occurs during the soldering process, the root cause of the abnormality and related information can be quickly located, improving the efficiency of fault diagnosis. Users can flexibly adjust the standard thresholds to adapt to different test needs, meeting the requirements of modern testing equipment for operability and flexibility.
[0076] Working principle: In practical application, the present invention uses a conveyor platform 1 to transport the motor rotor. A soldering device can be deployed at the head end of the conveyor platform to solder the rotor. At this time, the dual-axis motor 24 is started, causing the dual-axis motor 24 to drive the fan blade 25 to rotate. Through the continuous reverse rotation of the fan blade 25, as... Figure 2 As shown, a negative pressure is generated at the left end of the control housing 23, causing the fumes generated during the soldering process to be drawn into the control housing 23 and filtered through the filter plate 28. If the filter plate 28 becomes contaminated due to long-term adsorption, the user can pull the lever 27, causing the protrusion at the bottom of the lever 27 to be squeezed and deformed inward, so that the filter plate 28 is pulled out of the control housing 23. The user can then clean or replace the filter plate 28 and reinsert the lever 27 along with the filter plate 28 into the control housing 23. The protrusion at the bottom of the lever 27 will be squeezed and deformed inward. After the insertion is complete, the protrusion will spring back, so that the lever 27 can fix the filter plate 28.
[0077] After the soldering operation is completed, the servo motor 216 starts, driving the control housing 23 to rotate relative to the sleeve block 22, so that the brush 213 faces the soldering point of the motor rotor above the conveyor table 1. When the dual-axis motor 24 starts, it drives the fan blade 26 to rotate. The fan blade 26 drives the rotating shaft 211 and the sector gear 212 to rotate. The sector gear 212 pushes the tooth groove on the connecting plate 210 back and forth, so that the connecting plate 210 is in a state of continuous compression and rebound of the spring 215 through the telescopic rod 214, thereby driving the brush 213 to circulate and rub against the soldering point of the motor rotor. The fan blade 26 generates airflow, which is transmitted through the fixed housing 29 and sprayed onto the soldering point of the motor rotor to detect whether there is any looseness. The image is recorded by the image acquisition component 3 and then submitted to the detection module 4 for anomaly analysis. If an anomaly is found, the cause of the anomaly is detected and a corresponding correction strategy is generated and implemented.
[0078] The above embodiments are only used to illustrate the technical solutions of the present invention, and are not intended to limit it. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions will not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.
Claims
1. A soldering tester specifically for motor rotors, characterized in that, The system includes a conveyor platform (1), a testing mechanism (2), an image acquisition component (3), and a detection module (4). The detection module (4) is mounted on the surface of the conveyor platform (1). The testing mechanism (2) is located on one side of the conveyor platform (1), and the image acquisition component (3) is located on one side of the testing mechanism (2). The conveyor (1) is used to carry the soldered motor rotor to be tested and to carry the various functional components and modules. The testing unit (2) is used for the dual continuous processing of collecting fumes during soldering and testing the stability of the electronic rotor after soldering. Image acquisition component (3) is used to acquire image data of the solder joint of the motor rotor; The detection module (4) is used to analyze the abnormal parts of the image submitted by the image acquisition component (3), trace the cause of the abnormal parts, and provide corresponding correction strategies.
2. The soldering tester specifically for motor rotors according to claim 1, characterized in that, The testing mechanism (2) includes an electric hydraulic rod (21). The bottom end of the outer rod of the electric hydraulic rod (21) is fixedly connected to one end of the conveyor table (1). The top end of the inner rod of the electric hydraulic rod (21) is fixedly connected to a sleeve block (22). The top end of the sleeve block (22) is provided with a control shell (23). A dual-axis motor (24) is installed inside the control shell (23). A fan blade one (25) and a fan blade two (26) are respectively installed on the output shafts at the left and right ends of the dual-axis motor (24). The right end of the control shell (23) is connected to a fixed shell (29). The interior of the fixed shell (29) is provided with a connecting plate (210). The top of the connecting plate (210) is uniformly fixed with brushes (213). The bottom of the connecting plate (210) is engaged with a sector gear (212). A rotating shaft (211) is inserted through the surface of the sector gear (212). The left end of the rotating shaft (211) extends through the fixed shell (29) to the interior of the control shell (23). The left end of the rotating shaft (211) is fixedly connected to the right end of the central shaft of the second fan blade (26). The image acquisition component (3) is installed on the right end of the fixed shell (29).
3. A soldering tester specifically for motor rotors according to claim 2, characterized in that, The front and rear ends of the control housing (23) are rotatably connected to the inner wall of the sleeve (22). A servo motor (216) is mounted on the surface of the sleeve (22). The output shaft of the servo motor (216) passes through the sleeve (22) and is fixedly connected to the surface of the control housing (23). The output shaft of the servo motor (216) is rotatably connected to the front of the sleeve (22).
4. A soldering tester specifically for motor rotors according to claim 2, characterized in that, A pull rod (27) is inserted into the top of the control housing (23). A filter plate (28) is fixedly connected to the bottom of the pull rod (27). The filter plate (28) is slidably connected to the control housing (23). Protrusions are fixedly connected to the left and right sides of the bottom of the pull rod (27). The filter plate (28) is used to purify the gas entering the control housing (23).
5. A soldering tester specifically for motor rotors according to claim 2, characterized in that, The bottom end of the connecting plate (210) is evenly provided with tooth grooves that are adapted to the sector gear (212), and the connecting plate (210) moves through the meshing transmission between the sector gear (212) and the tooth grooves.
6. A soldering tester specifically for motor rotors according to claim 2, characterized in that, Telescopic rods (214) are provided at both the front and rear ends of the connecting plate (210). The outer rods of the telescopic rods (214) are fixedly connected to the surface of the connecting plate (210), and the inner rods of the telescopic rods (214) are fixedly connected to the inner wall of the fixed shell (29). A spring (215) is sleeved on the surface of the telescopic rods (214). One end of the spring (215) is fixedly connected to the inner rod of the telescopic rod (214), and the other end of the spring (215) is fixedly connected to the outer rod of the telescopic rod (214).
7. A soldering tester specifically for motor rotors according to claim 2, characterized in that, The surface of the connecting plate (210) is uniformly provided with ventilation holes, which serve as the outlet for the airflow generated when the second fan blade (26) is started.
8. A soldering tester specifically for motor rotors according to claim 1, characterized in that, The detection module (4) has sub-modules deployed at its lower level, and the sub-modules include: The control module is used to receive user input commands, schedule the work of each module, start, stop and manage the running status of each sub-module; The extraction module is used to acquire real-time images from the image acquisition component (3) and perform preprocessing. The module is used to build a detection model using deep learning algorithms. It takes labeled solder area image data as input for training and outputs normal or abnormal state data of the solder area image. The analysis module is used to obtain the detection model trained by the model building module, analyze the image data extracted in real time by the extraction module through the detection model, and output the anomaly detection results at the solder joint. The judgment module is used to determine whether the anomaly detection results meet the preset standard threshold based on the anomaly detection results output by the analysis module, and output the judgment result. The tag output module is triggered when the judgment result output by the judgment module is that the abnormal detection result does not meet the standard threshold. It performs several tagging processes on the abnormal detection result at the solder joint, including encoding and labeling information related to the abnormality type, location and degree, and generating structured data. The storage module serves as a storage end for historically tagged exception information, and supports custom editing of the adjustment strategies corresponding to each tagged exception information for associated storage; The traceability module is used to record the rotor batch, time, environment, and related operator information of the current anomaly detection results, and submit them to the management terminal. The adjustment matching module is used to index the storage module based on several tags of the current anomaly detection results, obtain the adjustment strategy of the associated tags, and submit it to the control module.
9. A soldering tester specifically for motor rotors according to claim 8, characterized in that, The judgment module is interconnected with the configuration module via a wireless network. The configuration module is used to receive user adjustments to the standard threshold and automatic adjustments to the standard threshold by the program.
10. A soldering tester specifically for motor rotors according to claim 8, characterized in that, The control module and the extraction module are interconnected via a wireless network. The extraction module and the construction module are interconnected via a wireless network. The construction module and the analysis module are interconnected via a wireless network. The analysis module and the judgment module are interconnected via a wireless network. The judgment module and the tag output module are interconnected via a wireless network. The tracing module, the tag output module, the storage module, and the adjustment and matching module are interconnected via a wireless network.