A detection device for special light source spiral filament production

Abstract

The application discloses a kind of detection equipment for the production of special light source spiral filament, it is related to electric automobile equipment technical field, including rotating stage, the rotating stage is driven by electrically conductive clamping arm and is rotated with light source spiral filament for vehicle, current loading module is integrated in the rotating stage, support frame body is provided on the base of the rotating stage, optical topography detection module and electromagnetic characteristic detection module are provided on the support frame body.The application can complete all-around detection of light source spiral filament for vehicle under simulating actual energized working condition by the cooperation of rotating stage and electrically conductive clamping arm, improve the authenticity of detection, and fuse analysis is carried out to optical geometric parameter and non-contact electromagnetic variable, realize the collaborative evaluation of topography and electromagnetic characteristic, and then more comprehensive and accurately reflect the structural integrity and electrical performance of light source spiral filament for vehicle, provide efficient and integrated detection means for production process optimization and product quality control.

Description

Technical Field

[0001] This invention relates to the field of electric vehicle equipment technology, specifically to a testing device for the production of special light source spiral filaments. Background Technology

[0002] In the fields of electric vehicles and high-end special lighting, the core light-emitting elements, especially certain high-performance or specially designed spiral filaments, have extremely high requirements for product consistency, reliability and optical performance. During the production process of these spiral filaments, the uniformity of their pitch, the spacing between turns, the overall deformation, surface defects, and whether there is a risk of loose structure or short circuit directly affect the luminous efficiency, light shape, color temperature stability and service life of the light source.

[0003] The existing special light source spiral filament has the following drawbacks:

[0004] 1. Patent CN103337434B discloses an electron generator, its manufacturing method, and its testing device. "This invention discloses an electron generator, its manufacturing method, and its testing device. The electron generator includes: a base, first and second support rods, a fixing adhesive, and a filament. The manufacturing method includes the following steps: Step S10, winding the filament to give it a helical portion; Step S20, connecting the first and second support rods to the base via the fixing adhesive, ensuring the first and second support rods do not intersect; Step S30, connecting both ends of the filament to the first and second support rods respectively. A low-power electron generator for a mass spectrometer according to an embodiment of the present invention..." The device can operate with low energy consumption, saving energy and reducing costs. Furthermore, the spiral section of the filament can better concentrate heat, improving the efficiency of electron emission, reducing filament preheating time, and enhancing filament performance. In addition, the fixing adhesive can improve the stability of filament installation, ensuring the filament is stably mounted on the base. However, the aforementioned document only uses static, non-energized, or single-view detection methods, which cannot perform comprehensive testing under simulated actual vehicle electrical loads and motion conditions. Moreover, it relies heavily on morphology or electromagnetic parameters for evaluation, lacking a synergistic analysis of morphology and electromagnetic characteristics. This results in limited detection coverage, insufficient realism, and an inability to fully reflect the technical problems of the filament's structure and electrical performance. Summary of the Invention

[0005] The purpose of this invention is to provide a testing device for the production of special light source spiral filaments, so as to solve the technical problems mentioned in the background art.

[0006] To achieve the above objectives, the present invention provides the following technical solution: a testing device for the production of special light source spiral filaments, comprising a rotating stage, wherein the rotating stage drives the spiral filament of an automotive light source to rotate via a conductive clamping arm, and a current loading module is integrated within the rotating stage;

[0007] The base of the rotating stage is provided with a support frame, on which an optical morphology detection module and an electromagnetic property detection module are fixedly mounted respectively.

[0008] The optical morphology detection module is used to acquire multi-angle images of the spiral filament of the automotive light source and calculate geometric parameters.

[0009] The electromagnetic characteristic detection module includes a non-contact electromagnetic probe, used to measure the electrical and magnetic variables of the spiral filament of an automotive light source under test current loading.

[0010] The rotating stage is equipped with a data processing unit, which receives and integrates geometric parameters, electrical variables, and magnetic variables, and inputs them into the evaluation model to output the performance evaluation results of the automotive light source spiral filament.

[0011] Preferably, the specific geometric parameters calculated by the optical morphology detection module include pitch, wire diameter uniformity, and helix radius deviation;

[0012] The data processing unit constructs a multimodal feature vector of the spiral filament of the automotive light source by associating and mapping geometric parameters with electrical and magnetic variables, and uses it as the input of the evaluation model.

[0013] The evaluation model was trained using failure data of historical automotive lighting systems under combined conditions of vehicle vibration, high-frequency switching, and temperature cycling.

[0014] Preferably, the electromagnetic probe is an impedance measurement probe based on the eddy current effect, with an operating frequency range of 100kHz to 10MHz, and two characteristic frequency points of 1MHz and 5MHz are set.

[0015] Preferably, the test current waveform provided by the current loading module is used to simulate the test current of vehicle electrical conditions, including constant DC, pulse current simulating vehicle vibration, or current waveform simulating high-frequency PWM dimming conditions.

[0016] Preferably, the preset evaluation model in the data processing unit is a neural network model based on deep learning. Its input layer simultaneously receives the feature matrix of the morphological image and the electromagnetic response time-series signal, and performs dimensionality reduction and correlation of the two types of heterogeneous data through a dedicated feature fusion layer. Finally, the output layer outputs the predicted lifetime, luminous flux maintenance rate or failure rate level of the automotive light source spiral filament under a set confidence level.

[0017] Preferably, the optical morphology detection module includes a set of coaxially arranged telecentric lenses and a set of laterally arranged industrial cameras. The telecentric lenses are mounted on the front end of the industrial cameras to simultaneously acquire the axial projection and lateral circumferential images of the automotive light source spiral filament during rotation. The set of laterally arranged industrial cameras are fixedly mounted at a 90-degree angle on the inner wall of the semi-circular dome structure with through holes at the top of the support frame.

[0018] Preferably, the electromagnetic characteristic detection module further includes a precision displacement mechanism for driving the electromagnetic probe to scan along the axis of the automotive light source's spiral filament to obtain the distribution curve of its electromagnetic characteristics along its length.

[0019] Preferably, the precision displacement mechanism is a piezoelectric ceramic actuator or a linear motor drive platform;

[0020] The data processing unit is equipped with a synchronous control program that keeps the axial scanning motion of the precision displacement mechanism and the rotational motion of the rotating stage in phase lock in the time domain, thereby realizing a three-dimensional spatial rasterized scan of the surface and subsurface electromagnetic properties of the spiral filament of the automotive light source.

[0021] Preferably, it also includes an environmental simulation chamber, which has a square structure, and the rotating stage, support frame, optical morphology detection module and electromagnetic property detection module are all set inside the environmental simulation chamber. The environmental simulation chamber can operate in a temperature range of -40 to 125°C and a multi-axis vibration condition of 5 to 500 Hz according to a preset temperature cycling vibration program, so as to dynamically reproduce the harsh vehicle environment stress during the detection process and use the real-time environmental parameters as auxiliary inputs for the evaluation model.

[0022] The temperature-cycle vibration program is driven by an integrated control system. The bottom of the environmental simulation chamber is equipped with a vibrator for generating multi-axis vibration. The chamber walls are integrated or wall-mounted with temperature control devices for adjusting the temperature inside the chamber. The control system coordinates the operation of the above devices according to the preset temperature-time curve and vibration spectrum curve to accurately simulate the vehicle composite working conditions.

[0023] The environmental simulation chamber has a hinged top cover to facilitate the insertion and removal of the automotive light source's spiral filament. The outer wall of the environmental simulation chamber also integrates observation windows and displays for real-time environmental parameters, detection status, and control operations, facilitating monitoring and interaction by experimental personnel.

[0024] Preferably, the working steps of the testing equipment for the production of this special light source spiral filament are as follows:

[0025] S1. Place the entire testing system in the environmental simulation chamber. According to the preset temperature cycle and vibration composite profile, start the environmental simulation chamber to make it run in the temperature range of -40 to 125℃ and the multi-axis vibration conditions of 5 to 500Hz, so as to dynamically reproduce the harsh vehicle environment stress in the testing process.

[0026] S2. Install the automotive light source spiral filament to be tested on the conductive clamping arm of the rotating stage, ensure good electrical contact, and start the optical morphology detection module and electromagnetic property detection module for preheating and calibration.

[0027] S3. Start the current loading module integrated in the rotating stage. According to the simulation requirements, apply a specific test current waveform to the spiral filament of the automotive light source. The waveform includes constant DC, pulse current simulating vehicle vibration, or current waveform simulating high-frequency PWM dimming. At the same time, start the rotating stage so that it drives the energized spiral filament of the automotive light source to rotate at a constant speed through the conductive clamping arm.

[0028] S4. During the rotation of the automotive light source spiral filament, the optical morphology detection module activates its industrial camera equipped with a telecentric lens. One set of coaxially arranged cameras acquires the axial projection image of the automotive light source spiral filament, while another set of industrial cameras arranged at a 90-degree angle to the side simultaneously acquires the circumferential image sequence of the automotive light source spiral filament 2.

[0029] S5. Under the condition of applying the test current, the electromagnetic characteristic detection module starts to work. Its precision displacement mechanism drives the non-contact electromagnetic probe to perform a precision scan along the axis of the automotive light source spiral filament. The electromagnetic probe adopts an impedance measurement probe based on the eddy current effect and performs measurements within the working frequency range. The synchronous control program in the data processing unit ensures that the axial scanning motion of the precision displacement mechanism and the rotational motion of the rotating stage remain phase-locked in the time domain, thereby realizing a three-dimensional spatial gridded scan of the surface and subsurface electromagnetic characteristics of the automotive light source spiral filament and obtaining the distribution data of its electrical and magnetic variables along the length.

[0030] S6. The data processing unit receives and processes the raw data from each module:

[0031] Morphology analysis: The multi-angle image sequence acquired in step four is calculated and analyzed to extract specific geometric parameters such as pitch, wire diameter uniformity, and helix radius deviation;

[0032] Electromagnetic analysis: Analyze the electromagnetic distribution curves obtained from step five to identify local abrupt change points;

[0033] Environmental parameter input: Simultaneously, receive real-time temperature and vibration parameters from the environmental simulation chamber;

[0034] Feature fusion preparation: The data processing unit correlates and maps the above geometric parameters and electromagnetic variables to begin constructing a multimodal feature vector to characterize the state of the spiral filament of the automotive light source.

[0035] S7. The data processing unit identifies local abrupt change points in the electromagnetic distribution curve and performs precise spatial location matching and correlation analysis with the corresponding optical morphology image, thereby achieving precise location of microcracks or metallurgical inhomogeneities.

[0036] S8. The data processing unit inputs the multimodal feature vector constructed in step six, along with the real-time environmental parameters, into a preset evaluation model. This evaluation model is a neural network model based on deep learning, trained using historical failure data of automotive lighting systems under combined working conditions. The input layer of the model simultaneously receives the topographic image feature matrix and the electromagnetic response time-series signal, and performs dimensionality reduction and correlation calculation through the feature fusion layer. Finally, the model outputs the performance evaluation results of the automotive light source spiral filament at a set confidence level, such as predicted lifetime, luminous flux maintenance rate, or failure rate level.

[0037] S9. After the test is completed, the system automatically generates and outputs a comprehensive report containing performance evaluation results and defect location information. Then, the operation of the current loading module, rotating stage, precision displacement mechanism and environmental simulation chamber is stopped in sequence, and all components are reset to their initial state to prepare for the next test of the automotive light source spiral filament.

[0038] Compared with the prior art, the beneficial effects of the present invention are:

[0039] 1. This invention, through the cooperation of a rotating stage and a conductive clamping arm, can complete the all-round inspection of the spiral filament of automotive light sources under simulated actual power-on conditions, improving the coverage and authenticity of the inspection. It also integrates optical geometric parameters with non-contact electromagnetic variables for analysis, overcoming the limitations of traditional single inspection methods, and achieving synergistic evaluation of morphology and electromagnetic properties. This allows for a more comprehensive and accurate reflection of the structural integrity and electrical performance of the spiral filament of automotive light sources, providing an efficient and integrated inspection method for production process optimization and product quality control.

[0040] 2. This invention quantifies key morphological parameters that directly affect the mechanical strength, heating uniformity, and optical performance of automotive light source spiral filaments, and deeply correlates them with electromagnetic variables reflecting materials and defects. This provides a high-dimensional, fused data foundation for evaluation. Furthermore, it employs a neural network model trained on historical data from actual harsh operating conditions. Through a feature fusion layer, it processes heterogeneous morphological images and electromagnetic timing signals, significantly improving the model's generalization ability and prediction reliability in complex automotive environments. This enables the direct output of confident predicted lifetime and luminous flux maintenance. Simultaneously, the optical module combines a coaxial telecentric lens with a lateral industrial camera arranged at a 90-degree angle. Within a semi-circular structure, it achieves seamless axial and circumferential synchronous image acquisition of rotating automotive light source spiral filaments, ensuring the completeness and high precision of morphological data acquisition.

[0041] 3. This invention, through its wideband and characteristic frequency design, enables the electromagnetic probe to generate differentiated electromagnetic responses for defects of different depths and types, significantly improving the sensitivity and specificity of defect detection. A precision displacement mechanism drives the electromagnetic probe to perform axial scanning, thereby obtaining a continuous distribution curve of electromagnetic characteristics along the length of the automotive light source's spiral filament. This reveals subtle changes in local performance. The data processing unit analyzes the abrupt change points of this curve and performs spatial position matching with a high-precision optical topography image, achieving precise defect location and property judgment. This greatly enhances the intuitiveness and reliability of the detection. Furthermore, a synchronous control program locks the axial scanning and rotational motion in phase, enabling three-dimensional spatial rasterization scanning of the surface and subsurface of the automotive light source's spiral filament, constructing a complete three-dimensional electromagnetic characteristic map, thus significantly improving the comprehensiveness and accuracy of the detection.

[0042] 4. This invention provides various test current waveforms, including constant DC, simulated vibration pulse, and high-frequency PWM dimming, through a current loading module. This allows for the measurement of electrical and magnetic variables of automotive light source spiral filaments under conditions that highly simulate real automotive electrical loads. The environmental simulation chamber can simultaneously apply temperature cycles of -40 to 125°C and multi-axis vibrations of 5 to 500Hz during the testing process, dynamically reproducing the harsh automotive environmental stresses. This not only actively stimulates the potential defects of automotive light source spiral filaments under temperature and mechanical stress during testing, but more importantly, it enables online performance acquisition under stress conditions close to the real usage environment. The obtained morphological and electromagnetic data contain key information about the impact of environmental stress, significantly enhancing the rigor and predictability of the test, and thus significantly improving the accuracy of product reliability assessment under complex actual automotive conditions. Attached Figure Description

[0043] Figure 1 This is a front cross-sectional view of the present invention;

[0044] Figure 2This is a side cross-sectional view of the present invention;

[0045] Figure 3 This is a three-dimensional structural diagram of the environmental simulation chamber of the present invention;

[0046] Figure 4 This is a schematic diagram of the three-dimensional structure of the support frame of the present invention;

[0047] Figure 5 This is a schematic diagram of the data processing unit of the present invention;

[0048] Figure 6 This is a schematic diagram of the workflow of the present invention.

[0049] In the diagram: 1. Rotating stage; 2. Automotive light source spiral filament; 3. Current loading module; 4. Support frame; 5. Optical morphology detection module; 6. Electromagnetic property detection module; 7. Electromagnetic probe; 8. Data processing unit; 9. Telecentric lens; 10. Industrial camera; 11. Precision displacement mechanism; 12. Environmental simulation chamber. Detailed Implementation

[0050] 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 embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0051] In the description of this invention, it should be noted that the terms "upper," "lower," "inner," "outer," "front end," "rear end," "both ends," "one end," and "the other end," etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are used only for the convenience of describing this invention and for simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on this invention. Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance.

[0052] In the description of this invention, it should be noted that, unless otherwise explicitly specified and limited, the terms "installed," "equipped with," "connected," etc., should be interpreted broadly. For example, "connection" can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediate medium; it can be a connection within two components. Those skilled in the art can understand the specific meaning of the above terms in this invention according to the specific circumstances.

[0053] Please see Figure 1 , Figure 2 and Figure 5 An embodiment of the present invention provides: a testing device for the production of special light source spiral filaments, including a rotating stage 1, which drives the spiral filament 2 of automotive light source to rotate through a conductive clamping arm, and a current loading module 3 is integrated inside the rotating stage 1;

[0054] The base of the rotating stage 1 is provided with a support frame 4, and an optical morphology detection module 5 and an electromagnetic property detection module 6 are fixedly installed on the support frame 4 respectively.

[0055] The optical morphology detection module 5 is used to acquire multi-angle images of the automotive light source spiral filament 2 and calculate its geometric parameters;

[0056] The electromagnetic characteristic detection module 6 includes a non-contact electromagnetic probe 7, which is used to measure the electrical and magnetic variables of the automotive light source spiral filament 2 under test current loading.

[0057] The rotating stage 1 is equipped with a data processing unit 8. The data processing unit 8 is used to receive and fuse geometric parameters with electrical and magnetic variables, and input them into the evaluation model to output the performance evaluation results of the automotive light source spiral filament 2.

[0058] Furthermore, the automotive light source spiral filament 2 is placed on the conductive clamping arm of the rotating stage 1, automatically clamped and energized. The rotating stage 1 drives the automotive light source spiral filament 2 to rotate at a uniform speed. At the same time, the internally integrated current loading module 3 applies a test current to the automotive light source spiral filament 2, simulating the actual working state, realizing the integrated operation of clamping, energizing, and rotating, effectively improving the continuity and efficiency of the test. During the rotation of the automotive light source spiral filament 2, the optical morphology detection module 5 fixed on the support frame 4 automatically captures images of the automotive light source spiral filament 2 from multiple angles, and through continuous shooting and... Image analysis is used to calculate key geometric parameters such as pitch, wire diameter, and concentricity of the automotive light source spiral filament 2 in real time, avoiding errors caused by traditional single-angle measurement and comprehensively improving the integrity and accuracy of morphology detection. Within the same rotation cycle, the non-contact electromagnetic probe 7 of the electromagnetic property detection module 6 is aligned with the automotive light source spiral filament 2 at close range. Under non-contact and non-damaging conditions, the resistance, inductance, and surrounding magnetic field distribution of the automotive light source spiral filament 2 under energized conditions are measured in real time. This avoids interference from contact between the electromagnetic probe 7 and the fine spiral structure, ensuring that the data is true and reliable.

[0059] The data processing unit 8 inside the rotating stage 1 simultaneously receives optical geometric parameters and electromagnetic measurement data, performs timestamp alignment and data fusion, and inputs them into the built-in evaluation model. The model intelligently analyzes the comprehensive performance of the automotive light source spiral filament 2 based on process standards and historical data, and quickly outputs evaluation results including structural consistency, electrical performance and potential defects. After the inspection is completed, an inspection report is generated for each automotive light source spiral filament 2, which supports local data storage or uploading to the quality management platform. Through this process, a closed loop of full-parameter inspection from morphology to electromagnetic characteristics is realized, which significantly improves inspection efficiency and product consistency, and provides complete data support for process optimization and quality traceability.

[0060] Please see Figure 1 , Figure 2 and Figure 5 The present invention provides an embodiment of a special light source spiral filament production testing device, wherein the specific geometric parameters calculated by the optical morphology testing module 5 include pitch, filament diameter uniformity and spiral radius deviation.

[0061] The data processing unit 8 constructs a multimodal feature vector of the automotive light source spiral filament 2 by mapping geometric parameters with electrical and magnetic variables, and uses it as the input of the evaluation model.

[0062] The evaluation model was trained using failure data of historical automotive lighting systems under combined conditions of vehicle vibration, high-frequency switching, and temperature cycling.

[0063] The preset evaluation model in the data processing unit 8 is a neural network model based on deep learning. Its input layer simultaneously receives the topographic image feature matrix and the electromagnetic response time series signal. It also reduces the dimensionality and correlates the two types of heterogeneous data through a dedicated feature fusion layer. Finally, the output layer outputs the predicted lifetime, luminous flux maintenance rate or failure rate level of the automotive light source spiral filament 2 under a set confidence level.

[0064] The optical morphology detection module 5 includes a set of coaxially arranged telecentric lenses 9 and a set of laterally arranged industrial cameras 10. The telecentric lenses 9 are mounted on the front end of the industrial cameras 10 and are used to simultaneously acquire the axial projection and lateral circumferential images of the automotive light source spiral filament 2 when rotating. The set of laterally arranged industrial cameras 10 are fixedly installed at a 90-degree angle on the inner wall of the semi-circular dome structure with through holes at the top of the support frame 4.

[0065] Furthermore, to achieve intelligent evaluation of the performance of the automotive light source spiral filament 2, the pre-set evaluation model in the data processing unit 8 of this invention is a neural network model based on deep learning. The construction and training method of this model is as follows:

[0066] The specific construction and training of the evaluation model: The evaluation model is a supervised learning multi-layer neural network. Its input layer is designed to simultaneously receive the shape image feature matrix from the optical shape detection module 5 and the electromagnetic response time-series signal from the electromagnetic property detection module 6. The output layer of the model can output performance indicators such as predicted lifetime level, optical flux maintenance rate or failure rate classification, depending on the task settings.

[0067] The model is trained on a high-quality multimodal dataset, which is constructed as follows: a large number of automotive light source spiral filament 2 samples with known historical performance are collected. Using this detection device or a device with equivalent capabilities, multi-angle optical image sequences and axial electromagnetic scan data of each sample are acquired under the detection state. Subsequently, the optical images are processed to extract the standardized geometric parameter feature matrix, and the electromagnetic scan data is preprocessed to generate time-series signal features. Finally, the data of each sample is associated with its corresponding performance label to form a paired dataset.

[0068] During training, the backpropagation algorithm and gradient descent optimizer are used to minimize the error between the model's prediction results and the true performance label. The model's weight parameters are iteratively optimized. Through this process, the model can learn the complex nonlinear mapping relationship between the composite features of morphology and electromagnetics and the final performance.

[0069] Dimensionality reduction and correlation mechanism of feature fusion layer: The feature fusion layer is a key structure in the model, which is specifically used to process and fuse heterogeneous data from different physical domains. This layer is usually located after the feature extraction sub-network of each modality.

[0070] Specifically, the model front end has two parallel feature extraction branches: one branch processes the topography image feature matrix to extract deep spatial features related to pitch, wire diameter uniformity, etc., and the other branch processes the electromagnetic response time-series signal to extract time-series pattern features that reflect the material's conductivity, permeability, and defect characteristics.

[0071] The feature fusion layer receives the high-level abstract feature vectors output from the two branches mentioned above. Its core operation is feature concatenation and joint dimensionality reduction mapping. First, the two feature vectors are concatenated along the feature dimension to form a comprehensive multimodal feature vector. Then, one or more fully connected layers perform a nonlinear transformation on the concatenated high-dimensional vector. The role of these fully connected layers is: on the one hand, to automatically weight and interact the concatenated features through weight calculation, learning the intrinsic relationship between morphological features and electromagnetic features; on the other hand, to project the high-dimensional features into a lower-dimensional, more condensed joint feature space, achieving dimensionality reduction and eliminating redundant information, while retaining the most critical relevance features for performance prediction. This low-dimensional joint feature vector obtained through fusion and dimensionality reduction will be passed to subsequent network layers for the final performance evaluation calculation.

[0072] Through the above design, the feature fusion layer enables the effective association and integration of heterogeneous morphology and electromagnetic data at the semantic level, laying a unified feature foundation for subsequent accurate evaluation.

[0073] After the equipment is started, the rotating stage 1 drives the automotive light source spiral filament 2 to rotate at a constant speed. At this time, the optical morphology detection module 5 starts working, and the coaxially set telecentric lens 9 accurately captures the axial projection image of the automotive light source spiral filament 2 for analyzing the end face morphology and concentricity. Simultaneously, two sets of lateral industrial cameras 10, fixed at a 90-degree angle to the inner wall of the semi-circular structure, synchronously acquire images of the automotive light source spiral filament 2 during its rotation. Through multi-view image fusion processing, the system can calculate core geometric parameters such as pitch, filament diameter uniformity, and spiral radius deviation with high precision and without blind spots, providing a basis for evaluation. The system provides accurate structural data. Simultaneously with rotation and image acquisition, the current loading module 3 applies a test current simulating the working state to the automotive light source spiral filament 2. The non-contact electromagnetic probe 7 synchronously measures the electrical and magnetic variables of the automotive light source spiral filament 2 under these dynamic conditions, generating an electromagnetic response timing signal synchronized with the morphological changes. This comprehensively records the physical characteristics of the automotive light source spiral filament 2 under energized rotation. The data processing unit 8 receives these two heterogeneous data types: the morphological image feature matrix and the electromagnetic response timing signal. A dedicated algorithm within the data processing unit 8 performs time alignment on these data. By mapping the correlation, a unified multimodal feature vector containing morphology and electromagnetic properties is constructed. This vector undergoes deep dimensionality reduction and correlation analysis through the feature fusion layer built into the evaluation model to extract the composite features that most significantly affect the performance of the automotive light source spiral filament 2. The fused multimodal feature vector is then input into an evaluation model built on a deep learning neural network. The key advantage of this model is that it is trained using failure data of historical automotive lighting systems under harsh conditions such as vehicle vibration, high-frequency switching, and temperature cycling. Therefore, the model can simulate the degradation mechanism of the automotive light source spiral filament 2 in real-world usage environments. The output layer directly outputs predictive results with engineering guidance significance, including the predicted lifetime, luminous flux maintenance rate, or failure rate level of the automotive light source spiral filament 2 at a set confidence level. The system ultimately generates a comprehensive performance evaluation report containing specific quantitative indicators and confidence intervals. This report not only determines whether the product is qualified but also predicts its reliability and performance degradation trend in the complex environment of actual vehicles. It provides data-driven, precise decision support for production process optimization, product grading, and quality traceability, thereby achieving a leap from specification compliance to predictive reliability in testing capabilities.

[0074] Please see Figure 1 , Figure 2 and Figure 5 The present invention provides an embodiment of a special light source spiral filament production testing device, wherein the electromagnetic probe 7 adopts an impedance measurement probe based on the eddy current effect, the working frequency range is 100kHz to 10MHz, and two characteristic frequency points of 1MHz and 5MHz are set.

[0075] The electromagnetic property detection module 6 also includes a precision displacement mechanism 11, which drives the electromagnetic probe 7 to scan along the axis of the automotive light source spiral filament 2 to obtain the distribution curve of its electromagnetic properties along the length.

[0076] The data processing unit 8 is configured to analyze the local abrupt change points of the distribution curve and perform spatial location matching with the optical morphology image, thereby locating micro-cracks or metallurgical inhomogeneities.

[0077] The precision displacement mechanism 11 is a piezoelectric ceramic actuator or a linear motor drive platform;

[0078] The data processing unit 8 is equipped with a synchronous control program, which keeps the axial scanning motion of the precision displacement mechanism 11 and the rotational motion of the rotating stage 1 in phase lock in the time domain, thereby realizing the three-dimensional spatial rasterization scanning of the surface and subsurface electromagnetic properties of the automotive light source spiral filament 2.

[0079] Furthermore, after the detection program is initiated, the impedance measurement probe based on the eddy current effect begins operation. First, baseline calibration is performed at two preset characteristic frequencies: 1MHz and 5MHz. The lower frequency of 1MHz allows for deeper eddy current penetration, making it sensitive to the subsurface and internal metallurgical state of the automotive light source's spiral filament 2. The higher frequency of 5MHz, however, is more sensitive to surface and near-surface micro-cracks and scratches. Simultaneous measurement at both frequencies provides a multi-dimensional data basis for subsequent defect type differentiation. After calibration, the precision displacement mechanism 11, composed of a piezoelectric ceramic actuator or a linear motor drive platform, is activated, driving the electromagnetic probe 7 along the vehicle... The spiral filament 2 of the light source undergoes uniform and high-precision linear motion along its axis. During this process, the electromagnetic probe 7 continuously measures at dual frequencies, generating an impedance-position distribution curve along the entire length of the automotive light source spiral filament 2 in real time. This curve can intuitively reflect the uniformity of the electromagnetic characteristics of the automotive light source spiral filament 2 and can preliminarily identify local abnormal peaks and valleys or steep transition points on the curve caused by micro-cracks, material inclusions, or abrupt changes in filament diameter. To achieve comprehensive detection of the surface and subsurface characteristics of the automotive light source spiral filament 2, the synchronous control program in the data processing unit 8 is activated. This program precisely controls the axial movement of the precision displacement mechanism 11. The scanning motion and the rotational motion of the rotating stage 1 maintain a strict phase-locked relationship in the time domain. As a result, the trajectory of the electromagnetic probe 7 relative to the rotating automotive light source spiral filament 2 is planned as a precise three-dimensional spiral spatial grid covering the outer surface of the automotive light source spiral filament 2. At each predetermined spatial coordinate point of this grid, the system synchronously collects the electromagnetic response data at the corresponding position, thereby constructing a three-dimensional spatial distribution model of the electromagnetic characteristics of the automotive light source spiral filament 2. This avoids data misalignment caused by asynchronous motion. The core algorithm of the data processing unit 8 begins to run, first analyzing the electromagnetic characteristics... The local abrupt change points in the curve are identified, and the precise three-dimensional spatial coordinates of these anomalous points are extracted from the three-dimensional raster data constructed in step three. Subsequently, these coordinates are automatically matched and superimposed with the high-definition images acquired by the optical morphology detection module 5 at the same time and in the same spatial location. For example, if an abnormal depression appears in the 5MHz high-frequency impedance at a certain location, and the corresponding image shows no visible surface damage at that location, it is determined to be a subsurface metallurgical inhomogeneity or microcrack. If it is accompanied by a surface gap in the image, it can be confirmed as an open crack. This correlation enables not only the discovery of defects but also their location and preliminary characterization.

[0080] By integrating all the analysis results, the spatial location, type, and corresponding severity of all identified defects are clearly marked on a 2D model of a spiral filament for automotive light sources using different colors and markers. The final output report not only includes performance evaluation results but also provides a detailed defect map, directly guiding production personnel to adjust the winding process, improve material handling, or repair equipment, thereby improving product consistency and reliability from the source. This process upgrades the detection from traditional post-event judgment to process diagnosis and optimization guidance.

[0081] Please see Figure 1 , Figure 2 , Figure 3 and Figure 4 The present invention provides an embodiment of a special light source spiral filament production testing device, wherein the current loading module 3 can provide a test current waveform for simulating vehicle electrical conditions, including constant DC, pulse current simulating vehicle vibration, or current waveform simulating high-frequency PWM dimming conditions.

[0082] It also includes an environmental simulation chamber 12, which has a square structure. The rotating stage 1, support frame 4, optical morphology detection module 5 and electromagnetic property detection module 6 are all located inside the environmental simulation chamber 12. The environmental simulation chamber 12 can operate in a temperature range of -40 to 125℃ and a multi-axis vibration condition of 5 to 500Hz according to a preset temperature cycling vibration program, so as to dynamically reproduce the harsh vehicle environment stress during the detection process and use the real-time environmental parameters as auxiliary inputs for the evaluation model.

[0083] Furthermore, before starting the test, the operator sets the test program in the control system. First, based on the actual working conditions of the target automotive lighting system, the test waveform of the current loading module 3 is selected and combined. At the same time, the temperature cycling vibration program of the environmental simulation chamber 12 is set, starting from a low temperature of -40℃, accompanied by random vibration of 5-200Hz, and then rapidly heated to 125℃ with superimposed high-frequency vibration. After starting, the environmental simulation chamber 12 places the rotating stage 1 and all test modules inside, and applies temperature changes and multi-axis vibrations dynamically and synchronously according to the preset profile. This realistically reproduces the most severe environmental stress that the automotive light source spiral filament 2 is subjected to in automotive applications in physical space. While the environmental parameters inside the chamber change dynamically according to the preset parameters, the system starts the synchronous test process:

[0084] The current loading module 3 applies the selected vehicle electrical operating condition waveform to the rotating automotive light source spiral filament 2;

[0085] The optical morphology detection module 5 continuously captures images of the automotive light source spiral filament 2 in a vibration and temperature change environment, and monitors the dynamic stability of its geometric morphology under thermal expansion and contraction and mechanical excitation.

[0086] The electromagnetic characteristic detection module 6 drives the electromagnetic probe 7 to perform phase-locked synchronous scanning to measure the real-time evolution of the electromagnetic characteristics of the automotive light source spiral filament 2 under combined stress with temperature, mechanical state and current waveform.

[0087] Data processing unit 8 synchronously records and timestamps all detection data streams and real-time temperature and vibration parameters fed back by environmental simulation chamber 12, ensuring that each data point is associated with the specific environmental state at the time of its generation;

[0088] Data processing unit 8 performs advanced analysis. It not only integrates morphological and electromagnetic data as before, but also uses real-time environmental parameters as key auxiliary inputs. Together with other data, it constructs a feature vector coupling multiple physical fields (electric, thermal, mechanical, and magnetic). This vector is input into the evaluation model. Since the model itself is trained based on historical vehicle failure data, and now receives real-time environmental stress input, it can more accurately simulate and map the failure mechanism of the automotive light source spiral filament 2 under specific harsh conditions. For example, the model can analyze the fatigue accumulation effect at specific locations of the automotive light source spiral filament 2 under the combined stress of low-temperature strong vibration and high-current pulses, or the electromigration trend of the material under high-temperature high-frequency PWM current. Finally, the evaluation model outputs highly scenario-specific prediction results. The report is no longer just a general performance indicator, but clearly indicates the specific performance characteristics under a given vehicle model. Under constant driving cycle and environmental profile, the predicted lifetime and luminous flux maintenance rate decay curve of the automotive light source spiral filament 2, or the failure rate under the composite stress profile, are obtained. Based on the prediction results, the automotive light source spiral filament 2 is classified according to its operational adaptability and reliability, realizing a qualitative change from laboratory testing to virtual verification in service scenarios. The complete test report corresponds the defect spectrum, performance decay prediction, and specific environmental stress conditions and electrical conditions one by one. This provides extremely valuable closed-loop feedback for R&D and production. Design engineers can optimize the structure or material of the automotive light source spiral filament 2 based on the weak links exposed under specific temperature cycle-vibration profiles, and process engineers can adjust the winding parameters to improve the stability of the automotive light source spiral filament 2 under simulated pulse current impact. This step upgrades the testing equipment from a quality screening tool to a core verification platform for product reliability design and process optimization.

[0089] Please see Figure 6 The present invention provides an embodiment of a method for using a testing device for the production of special light source spiral filaments. The working steps of the testing device for the production of special light source spiral filaments are as follows:

[0090] S1. Place the entire testing system in the environmental simulation chamber 12. According to the preset temperature cycle and vibration composite profile, start the environmental simulation chamber 12 to make it run in the temperature range of -40 to 125℃ and the multi-axis vibration conditions of 5 to 500Hz, so as to dynamically reproduce the harsh vehicle environment stress in the testing process.

[0091] S2. Install the automotive light source spiral filament 2 to be tested on the conductive clamping arm of the rotating stage 1, ensure good electrical contact, and start the optical morphology detection module 5 and electromagnetic property detection module 6 for preheating and calibration.

[0092] S3. Start the current loading module 3 integrated in the rotating stage 1. According to the simulation requirements, apply a specific test current waveform to the automotive light source spiral filament 2. The waveform includes constant DC, pulse current simulating vehicle vibration, or current waveform simulating high-frequency PWM dimming. At the same time, start the rotating stage 1 so that it drives the energized automotive light source spiral filament 2 to rotate at a constant speed through the conductive clamping arm.

[0093] S4. During the rotation of the automotive light source spiral filament 2, the optical morphology detection module 5 activates its industrial camera 10 equipped with a telecentric lens 9. One set of coaxially arranged cameras acquires the axial projection image of the automotive light source spiral filament 2, while another set of industrial cameras 10 arranged at a 90-degree angle to the side simultaneously acquires the circumferential image sequence of the automotive light source spiral filament 2.

[0094] S5. Under the condition of applying the test current, the electromagnetic characteristic detection module 6 starts to work. Its precision displacement mechanism 11 drives the non-contact electromagnetic probe 7 to perform a precision scan along the axis of the automotive light source spiral filament 2. The electromagnetic probe 7 adopts an impedance measurement probe based on the eddy current effect and performs measurements within the working frequency range. The synchronous control program in the data processing unit 8 ensures that the axial scanning motion of the precision displacement mechanism 11 and the rotational motion of the rotating stage 1 are locked in the time domain, thereby realizing the three-dimensional spatial gridded scanning of the surface and subsurface electromagnetic characteristics of the automotive light source spiral filament 2 and obtaining the distribution data of its electrical and magnetic variables along the length.

[0095] S6. Data processing unit 8 receives and processes raw data from each module:

[0096] Morphology analysis: The multi-angle image sequence acquired in step four is calculated and analyzed to extract specific geometric parameters such as pitch, wire diameter uniformity, and helix radius deviation;

[0097] Electromagnetic analysis: Analyze the electromagnetic distribution curves obtained from step five to identify local abrupt change points;

[0098] Environmental parameter input: Simultaneously, receive real-time temperature and vibration parameters from the environmental simulation chamber 12;

[0099] Feature fusion preparation: Data processing unit 8 correlates and maps the above geometric parameters and electromagnetic variables, and begins to construct a multimodal feature vector to characterize the state of the automotive light source spiral filament 2;

[0100] S7 and data processing unit 8 identify local abrupt change points in the electromagnetic distribution curve and perform precise spatial location matching and correlation analysis with the optical morphology image of the corresponding spatial location, thereby achieving precise location of microcracks or metallurgical inhomogeneities.

[0101] S8 and data processing unit 8 input the multimodal feature vector constructed in step six, along with real-time environmental parameters, into a preset evaluation model. This evaluation model is a neural network model based on deep learning, trained using historical vehicle lighting system failure data under combined working conditions. The input layer of the model simultaneously receives the topographic image feature matrix and electromagnetic response time-series signal, and performs dimensionality reduction and correlation calculation through the feature fusion layer. Finally, the model outputs the performance evaluation results of the vehicle light source spiral filament 2 at a set confidence level at the output layer, such as predicted lifetime, luminous flux maintenance rate, or failure rate level.

[0102] S9. After the test is completed, the system automatically generates and outputs a comprehensive report containing performance evaluation results and defect location information. Then, the operation of the current loading module 3, rotating stage 1, precision displacement mechanism 11 and environmental simulation chamber 12 is stopped in sequence, and all components are reset to their initial state to prepare for the next test of the automotive light source spiral filament 2.

[0103] The working principle involves using a rotating stage 1 in conjunction with a conductive clamping arm to perform comprehensive testing of the automotive light source spiral filament 2 under simulated actual power-on conditions. This improves the coverage and accuracy of the testing. Furthermore, it integrates optical geometric parameters with non-contact electromagnetic variables for analysis, overcoming the limitations of traditional single-method testing. This enables a synergistic evaluation of morphology and electromagnetic properties, thus providing a more comprehensive and accurate reflection of the structural integrity and electrical performance of the automotive light source spiral filament 2. This provides an efficient and integrated testing method for production process optimization and product quality control. By quantifying key morphological parameters that directly affect the mechanical strength, heating uniformity, and optical performance of the automotive light source spiral filament 2 and correlating them with electromagnetic variables reflecting materials and defects, a fusion-based evaluation method is provided. Based on a robust data foundation, and employing a neural network model trained on historical data from actual harsh operating conditions, the model significantly improves its generalization ability and prediction reliability in complex automotive environments by processing heterogeneous topographic images and electromagnetic timing signals through a feature fusion layer. This enables the direct output of accurate predicted lifetime and luminous flux maintenance. Simultaneously, the optical module combines a coaxial telecentric lens 9 with a lateral industrial camera 10 arranged at a 90-degree angle. Within a semi-circular structure, it achieves seamless axial and circumferential synchronous image acquisition of the rotating automotive light source spiral filament 2, ensuring the completeness and high precision of topographic data acquisition. Through wideband and characteristic frequency point design, the electromagnetic probe 7 can generate differentiated electromagnetic responses for defects of different depths and types, significantly improving defect detection capabilities. Sensitivity and targeting are enhanced, and the electromagnetic probe 7 is driven by a precision displacement mechanism 11 to perform axial scanning, thereby obtaining a continuous distribution curve of electromagnetic characteristics along the length of the automotive light source spiral filament 2. This reveals subtle changes in local performance. The data processing unit 8 analyzes the abrupt change points of this curve and performs spatial position matching with a high-precision optical morphology image to achieve precise location and nature judgment of defects, greatly enhancing the intuitiveness and reliability of the detection. Furthermore, the synchronous control program locks the axial scanning and rotational motion in phase, realizing a three-dimensional spatial gridded scan of the surface and subsurface of the automotive light source spiral filament 2, constructing a complete three-dimensional electromagnetic characteristic map, thus significantly improving the comprehensiveness and accuracy of the detection. The current loading module 3 provides a package... The system incorporates various test current waveforms, including constant DC, simulated vibration pulse, and high-frequency PWM dimming, enabling the measurement of electrical and magnetic variables of the automotive light source's spiral filament 2 under conditions that highly simulate real automotive electrical loads. The environmental simulation chamber 12 can simultaneously apply temperature cycling from -40°C to 125°C and multi-axis vibration from 5 to 500Hz during testing, dynamically reproducing the harsh automotive environmental stresses. This not only actively excites potential defects in the automotive light source's spiral filament 2 under temperature and mechanical stress during testing, but more importantly, it enables online performance acquisition under stress conditions close to real-world usage environments. The obtained morphological and electromagnetic data contain crucial information about the impact of environmental stress, significantly enhancing the rigor and predictability of the testing.This significantly improves the accuracy of product reliability assessment under complex real-world automotive conditions.

[0104] It will be apparent to those skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above, and that the invention can be implemented in other specific forms without departing from its spirit or essential characteristics. Therefore, the embodiments should be considered in all respects as exemplary and non-limiting, and the scope of the invention is defined by the appended claims rather than the foregoing description. Thus, all variations falling within the meaning and scope of equivalents of the claims are intended to be included within the present invention. No reference numerals in the claims should be construed as limiting the scope of the claims.

Claims

1. A testing device for the production of special light source spiral filaments, comprising a rotating stage (1), characterized in that: The rotating platform (1) drives the spiral filament (2) of the vehicle light source to rotate through the conductive clamping arm. The rotating platform (1) integrates a current loading module (3). The base of the rotating stage (1) is provided with a support frame (4), and an optical morphology detection module (5) and an electromagnetic property detection module (6) are respectively fixed on the support frame (4). The optical morphology detection module (5) is used to acquire multi-angle images of the automotive light source spiral filament (2) and calculate geometric parameters; The electromagnetic characteristic detection module (6) includes a non-contact electromagnetic probe (7) for measuring the electrical and magnetic variables of the automotive light source spiral filament (2) under test current loading. The rotating platform (1) is equipped with a data processing unit (8). The data processing unit (8) is used to receive and fuse geometric parameters with electrical and magnetic variables, and input them into the evaluation model to output the performance evaluation results of the automotive light source spiral filament (2). The electromagnetic characteristic detection module (6) also includes a precision displacement mechanism (11) for driving the electromagnetic probe (7) to scan along the axis of the automotive light source spiral filament (2) to obtain the distribution curve of electromagnetic characteristics along the length. The data processing unit (8) is configured to analyze the local abrupt change points of the distribution curve and perform spatial location matching with the optical morphology image, thereby locating microcracks or metallurgical inhomogeneities.

2. The testing equipment for producing special light source spiral filaments according to claim 1, characterized in that: The specific geometric parameters calculated by the optical morphology detection module (5) include pitch, wire diameter uniformity, and helix radius deviation. The data processing unit (8) constructs a multimodal feature vector of the automotive light source spiral filament (2) by mapping geometric parameters with electrical and magnetic variables, and uses it as input to the evaluation model; The evaluation model was trained using failure data of historical automotive lighting systems under combined conditions of vehicle vibration, high-frequency switching, and temperature cycling.

3. The testing equipment for producing special light source spiral filaments according to claim 1, characterized in that: The electromagnetic probe (7) is an impedance measurement probe based on eddy current effect, with a working frequency range of 100kHz-10MHz, and two characteristic frequency points of 1MHz and 5MHz are set.

4. The testing equipment for producing special light source spiral filaments according to claim 1, characterized in that: The current loading module (3) can provide test current waveforms for simulating vehicle electrical conditions, including constant DC, pulse current simulating vehicle vibration, or current waveform simulating high-frequency PWM dimming conditions.

5. The testing equipment for producing special light source spiral filaments according to claim 1, characterized in that: The preset evaluation model in the data processing unit (8) is a neural network model based on deep learning. The input layer simultaneously receives the topographic image feature matrix and the electromagnetic response timing signal, and the two types of heterogeneous data are reduced in dimension and correlated through a dedicated feature fusion layer. Finally, the predicted lifetime, luminous flux maintenance rate or failure rate level of the automotive light source spiral filament (2) under the set confidence level is output at the output layer.

6. The testing equipment for producing special light source spiral filaments according to claim 1, characterized in that: The optical morphology detection module (5) includes a set of coaxially arranged telecentric lenses (9) and a set of laterally arranged industrial cameras (10). The telecentric lenses (9) are installed at the front end of the industrial cameras (10) to synchronously acquire the axial projection and lateral circumferential images of the automotive light source spiral filament (2) during rotation. The set of laterally arranged industrial cameras (10) are fixedly installed at a 90-degree angle on the inner wall of the semi-circular structure with through holes at the top of the support frame (4).

7. The testing equipment for producing special light source spiral filaments according to claim 1, characterized in that: The precision displacement mechanism (11) is a piezoelectric ceramic actuator or a linear motor drive platform; The data processing unit (8) is equipped with a synchronous control program, which keeps the axial scanning motion of the precision displacement mechanism (11) and the rotational motion of the rotating stage (1) locked in the time domain, thereby realizing the three-dimensional spatial gridding scanning of the surface and subsurface electromagnetic properties of the automotive light source spiral filament (2).

8. The testing equipment for producing special light source spiral filaments according to claim 1, characterized in that: It also includes a square-structured environmental simulation chamber (12), and the rotating stage (1), support frame (4), optical morphology detection module (5) and electromagnetic property detection module (6) are all located inside the environmental simulation chamber (12). The environmental simulation chamber (12) can operate in a temperature range of -40 to 125°C and a multi-axis vibration condition of 5 to 500 Hz according to a preset temperature cycling vibration program, and use real-time environmental parameters as auxiliary inputs for the evaluation model.

9. The method of using the testing equipment for producing special light source spiral filaments according to claim 7, characterized in that, The working steps of the testing equipment used in the production of this special light source spiral filament are as follows: S1. Install the automotive light source spiral filament (2) to be tested on the conductive clamping arm of the rotating stage (1), ensure good electrical contact, and start the optical morphology detection module (5), adjust the lighting system and industrial camera (10) to prepare for image acquisition. S2. Start the rotating stage (1) to drive the automotive light source spiral filament (2) to rotate at a constant speed. At the same time, the industrial camera (10) in the optical morphology detection module (5) starts to work, and synchronously collects multi-angle image sequences during the rotation of the automotive light source spiral filament (2). The current loading module (3) integrated in the rotating stage (1) is started to apply a test current simulating the vehicle electrical working condition to the automotive light source spiral filament (2) so that the automotive light source spiral filament (2) is in working state. S3. Under the condition of loading test current, start the electromagnetic characteristic detection module (6), and drive the non-contact electromagnetic probe (7) to perform a precision scan along the axis of the automotive light source spiral filament (2) through the precision displacement mechanism (11). During this process, the synchronous control program in the data processing unit (8) ensures that the axial scanning motion of the precision displacement mechanism (11) and the rotation motion of the rotating stage (1) are locked in the time domain, thereby realizing the three-dimensional spatial gridded scanning of the surface and subsurface electromagnetic characteristics of the rotating automotive light source spiral filament (2) to obtain electrical and magnetic variable data. S4. The data processing unit (8) receives and processes the raw data from each module, performs calculation and analysis on the optical image sequence, extracts the geometric parameters of pitch and wire diameter uniformity, processes the electromagnetic scanning data, generates the distribution curve of electromagnetic characteristics along the length of the automotive light source spiral filament (2), and automatically analyzes the curve to identify local abrupt change points. S5. The data processing unit (8) performs spatial location matching and correlation analysis between the optical morphology image and the electromagnetic property distribution curve. Specifically, it compares and fuses the local abrupt change points identified in the electromagnetic distribution curve with the optical image features of the corresponding spatial location, and then uses the data of the electromagnetic probe (7) to achieve accurate positioning and judgment of microcracks and metallurgical inhomogeneity defects. S6. The data processing unit (8) inputs the multimodal feature vector formed after fusion into the preset evaluation model. The model calculates and analyzes to output the performance evaluation results of the automotive light source spiral filament (2), such as the predicted lifespan or failure rate level. S7. After the test is completed, the system outputs the final evaluation report and defect map. Then the movement of the current loading module (3), the rotating stage (1) and the precision displacement mechanism (11) is stopped, the equipment is reset, and the next test of the automotive light source spiral filament (2) is prepared.

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