Laser detection device and method for electronic watch surface accuracy

Abstract

The present invention discloses a laser detection device and method for the surface accuracy of an electronic watch, the method comprising: obtaining optical characteristic parameters and geometric characteristic parameters of the electronic watch surface, dividing the area according to the parameters to obtain an area map and an area attribute list; determining the laser band combination and pulse frequency according to the area map and the area attribute list, performing time-sharing laser excitation to obtain multi-spectral domain reflection signal data; performing local temperature adjustment on high interference risk areas, and obtaining multi-spectral domain reflection signal data after temperature adjustment; performing scattering feature extraction and interference peak identification using the area map, multi-spectral domain data set and temperature control data log; determining the data fusion weight according to the area attribute list, and performing regional fusion on the reflection signal to generate surface detection data. The technical solution of the present invention can effectively obtain the real surface geometry information of the electronic watch surface.

Description

Technical Field

[0001] The present invention relates to the technical field of electronic surface detection, and in particular to a laser detection device and method for electronic surface accuracy. Background Art

[0002] Electronic watches play an important role in the modern watchmaking industry. They are not only timekeeping instruments, but also symbols of personal style. In order to balance practicality and beauty in a small and precise space, the dials and mirrors of high-end electronic watches are usually superimposed with multiple functional coatings, including anti-glare layers, anti-scratch layers, and decorative coatings. These coatings vary in optical and physical properties, and are often located in curved surfaces or complex geometric structures. Such a multi-layered surface with obvious curvature changes makes laser detection of the surface accuracy of electronic watches a key link in the watchmaking process, which is not only related to the appearance and service life of the product, but also directly affects the overall quality control and brand image.

[0003] However, when the laser beam reflects and interferes with different coatings multiple times, overlapping peaks are often generated in the curvature mutation area or coating transition area, resulting in the measurement signal being unable to accurately distinguish between the real surface and false reflections. Even after multiple calibrations or algorithm corrections, there are still local area distortions and excessive noise, which makes it difficult to meet the stringent requirements of high-end electronic watches for surface flatness and coating uniformity. Summary of the invention

[0004] The main purpose of the present invention is to solve the technical problem that in the existing electronic watch surface detection, due to the superposition of multi-layer coatings and curved surface geometric structures, multiple reflections and interferences are generated, resulting in the inability to accurately obtain the real surface geometric information.

[0005] A first aspect of the present invention provides a laser detection method for the surface accuracy of an electronic watch, the laser detection method for the surface accuracy of an electronic watch comprising:

[0006] Obtaining optical characteristic parameters and geometric characteristic parameters of the electronic watch surface, dividing the surface into regions according to the optical characteristic parameters and geometric characteristic parameters, and obtaining a region map and a region attribute list;

[0007] Determine the laser band combination and pulse frequency of each area according to the area map and the area attribute list, perform time-sharing laser excitation on each area according to a preset time window, obtain multi-spectral domain reflection signal data of the area, associate the multi-spectral domain reflection signal data with the area map and store them, and generate a multi-spectral domain data set;

[0008] According to the regional attribute list and the multi-spectral domain data set, local temperature adjustment is performed on the high interference risk area, multi-spectral domain reflection signal data after temperature adjustment is obtained, and a temperature control data log is generated;

[0009] Using the regional map, the multi-spectral domain data set and the temperature control data log, extracting scattering features of the reflection signal of each region, identifying interference peaks of the reflection signal according to the extracted scattering features, and generating an interference rejection mark list;

[0010] The data fusion weight is determined according to the regional attribute list, and the reflection signals in the multi-spectral domain data set that have been screened by the interference elimination mark list are regionally fused according to the data fusion weight to generate surface detection data.

[0011] Optionally, the step of acquiring optical characteristic parameters and geometric characteristic parameters of the surface of the electronic watch, dividing the surface into regions according to the optical characteristic parameters and geometric characteristic parameters, and obtaining a region map and a region attribute list includes:

[0012] Collect the reflected light intensity data of each layer interface in the multi-layer coating structure on the surface of the electronic watch, determine the optical change gradient at the coating interface according to the reflected light intensity difference between adjacent coating interfaces, and obtain the optical characteristic parameters;

[0013] Obtaining local morphological data of the electronic watch pointer bearing, the crown depression and the lug bend, identifying the transition zone position of the micro-curved surface according to the local morphological data, and obtaining geometric characteristic parameters;

[0014] Performing layered analysis on the optical characteristic parameters to determine the reflection characteristics and transmission ratio of each coating layer, obtaining the optical partitioning data of the coating, and marking the high specular reflection area and the coating thickness mutation area according to the optical partitioning data of the coating;

[0015] Performing curvature gradient analysis on the geometric characteristic parameters, identifying the locations of sudden changes in curvature and areas with dense microstructures, and obtaining geometric partition data; marking areas with sudden changes in curvature and areas with interlaced microstructures according to the geometric partition data;

[0016] The spatial overlap between the marked area of ​​the coating optical partitioning data and the marked area of ​​the geometric partitioning data is calculated, and the multiple reflection risk assessment is performed on the overlapping area to generate a regional map. Each area is graded and labeled according to the reflection characteristics and curvature characteristics of the overlapping area to obtain a regional attribute list.

[0017] Optionally, the laser band combination and pulse frequency of each area are determined according to the area map and the area attribute list, time-sharing laser excitation is performed on each area according to a preset time window, multi-spectral domain reflection signal data of the area is obtained, and the multi-spectral domain reflection signal data is associated and stored with the area map to generate a multi-spectral domain data set, including:

[0018] According to the distribution positions of the high specular reflection area and the coating thickness mutation area in the regional map, a reflectivity reference threshold is determined to obtain the initial configuration parameters of the band;

[0019] According to the hierarchical marking of the curvature abrupt change area and the microstructure interlaced area in the regional attribute list, the curvature compensation coefficient is determined, and the initial configuration parameters of the band are corrected to obtain the regional band combination data;

[0020] Performing matching analysis on the energy density of each band in the regional band combination data and the reflectivity reference threshold, determining the minimum pulse interval of each region, and obtaining pulse frequency configuration data;

[0021] Divide each region into time windows according to the pulse frequency configuration data, establish a band switching sequence, and obtain a time-sharing excitation sequence;

[0022] Scanning the multi-layer coating structure on the surface of the electronic watch layer by layer according to the time-sharing excitation sequence to obtain reflection signal data of each coating interface, and performing layered analysis on the reflection signal data according to the optical properties of different coatings to obtain multi-spectral domain reflection signal data;

[0023] The multi-spectral domain reflection signal data is annotated according to the regional division of the regional map, a regional association mapping table is established, and the multi-spectral domain reflection signal data and the regional association mapping table are integrated and stored to generate a multi-spectral domain data set.

[0024] Optionally, the multi-layer coating structure on the surface of the electronic watch is scanned layer by layer according to the time-sharing excitation sequence to obtain reflection signal data of each coating interface, and the reflection signal data is analyzed layer by layer according to the optical properties of different coatings to obtain multi-spectral domain reflection signal data, including:

[0025] Determine the scanning timing of each layer of coating according to the time-sharing excitation sequence, and perform progressive scanning from the outer layer to the inner layer of the electronic surface to obtain layer-by-layer scanning data;

[0026] Performing time series correlation analysis on the reflection signals of adjacent coating interfaces in the layer-by-layer scanning data to determine the reflection time difference of each interface and obtain interface reflection delay data;

[0027] According to the interface reflection delay data, the interface position with abnormal reflection time is screened out, and the reflection signal of the abnormal interface is repeatedly collected multiple times to obtain interface repeated collection data;

[0028] Performing a time series comparison between the repeatedly collected interface data and the layer-by-layer scanning data, eliminating unstable reflection signals, and obtaining stable interface reflection signals;

[0029] The stable interface reflection signal is hierarchically classified according to the optical properties of the anti-glare layer, the anti-scratch layer and the decorative coating layer to obtain multi-spectral domain reflection signal data.

[0030] Optionally, the locally adjusting the temperature of the high interference risk area according to the area attribute list and the multi-spectral domain data set, obtaining the multi-spectral domain reflection signal data after temperature adjustment, and generating a temperature control data log includes:

[0031] Determine the temperature sensitive area according to the annotation information of each area in the area attribute list and the distribution of the reflected signal intensity in the multi-spectral domain data set, and obtain the temperature control target area data;

[0032] Performing layered statistics on the reflection peak intensities of the anti-glare layer, the anti-scratch layer and the decorative coating layer in the temperature control target area data, determining the temperature fluctuation threshold of each layer, and obtaining inter-layer temperature control reference data;

[0033] According to the interlayer temperature control reference data, the temperature gradient value between adjacent coatings is calculated, and the temperature of the temperature control target area is adjusted by partition to obtain local temperature adjustment data;

[0034] Generating real-time temperature control reflection data according to the multi-layer interface reflection signal adjusted by the local temperature adjustment data collection;

[0035] According to the change of the reflection signal of each coating in the real-time temperature control reflection data, the correlation characteristics between temperature and reflection intensity are recorded to generate a temperature control data log.

[0036] Optionally, performing layered statistics on the reflection peak intensities of the anti-glare layer, the anti-scratch layer and the decorative coating layer in the temperature control target area data, determining the temperature fluctuation threshold of each layer, and obtaining the inter-layer temperature control reference data, includes:

[0037] Extracting the reflection peak intensity sequences of the anti-glare layer, the anti-scratch layer and the decorative coating layer according to the temperature control target area data, performing time series decomposition on the reflection peak intensity sequences, and obtaining inter-layer reflection intensity data;

[0038] Calculating the intensity ratio of adjacent coating reflection peaks in the interlayer reflection intensity data, marking the coating interface with abnormal intensity ratio, and obtaining interface abnormality marking data;

[0039] According to the interface abnormality marking data, a temperature response test is performed on the marked coating interface to obtain interface temperature sensitivity data;

[0040] Performing hierarchical clustering on the interface temperature sensitivity data, determining the temperature response characteristics of different coatings, and obtaining coating temperature characteristic data;

[0041] The temperature fluctuation tolerance range of each coating layer is determined according to the coating temperature characteristic data, and inter-layer temperature control reference data is generated.

[0042] Optionally, the temperature gradient value between adjacent coatings is calculated according to the interlayer temperature control reference data, and the temperature control target area is subjected to zone temperature adjustment to obtain local temperature adjustment data, including:

[0043] Obtain interlayer temperature control reference data of the pointer area, crown area and lug area, calculate the temperature gradient distribution in the vertical and horizontal directions according to the relative position relationship between the anti-glare layer and the anti-scratch layer, and the anti-scratch layer and the decorative coating layer, and obtain multi-dimensional temperature gradient data;

[0044] Performing layered analysis on the vertical temperature gradient in the multi-dimensional temperature gradient data to identify the location of temperature mutation between layers, and performing regional analysis on the horizontal temperature gradient to identify the location of temperature mutation in the plane to obtain temperature gradient profile data;

[0045] Adaptively partition the temperature control target area according to the temperature gradient profile data, divide the continuous temperature gradient area into a temperature coordination area, divide the temperature mutation position into a temperature transition area, and divide the temperature stable area into a temperature buffer area to obtain temperature function partition data;

[0046] Based on the temperature function zoning data, the common adjustment parameters of the temperature coordination zone, the gradient adjustment parameters of the temperature transition zone and the stable adjustment parameters of the temperature buffer zone are calculated, the temperature compensation relationship between the zones is established, and the zone temperature mapping data is obtained;

[0047] According to the partition temperature mapping data, the temperature coordination zone is controlled to achieve synchronous heating or cooling, the temperature transition zone is controlled to achieve gradual temperature adjustment, and the temperature buffer zone is controlled to achieve constant temperature maintenance, thereby generating local temperature adjustment data.

[0048] Optionally, the utilizing the regional map, the multi-spectral domain data set, and the temperature control data log to extract scattering features of the reflection signal of each region, identifying interference peaks of the reflection signal according to the extracted scattering features, and generating an interference rejection mark list includes:

[0049] Performing temperature correction on the reflection signal in the multi-spectral domain data set according to the temperature control data log to eliminate the reflection intensity offset caused by temperature fluctuations, thereby obtaining temperature correction signal data;

[0050] Performing regional mapping on the temperature correction signal data, extracting reflection signal features at the pointer bearing, the crown depression and the lug bend, and spatially matching the reflection signal features with the curvature abrupt change area and the microstructure interlaced area in the regional map to obtain scattering prone area data;

[0051] Based on the scattering prone area data, the adjacent coating interface reflection signals in the temperature correction signal data are traversed layer by layer, the interface reflection intensity ratio and time delay difference are calculated, the abnormal reflection peak is identified, and the abnormal peak characteristic data is obtained;

[0052] According to the abnormal peak characteristic data, the reflection signals at the interface between the anti-glare layer and the anti-scratch layer, and the interface between the anti-scratch layer and the decorative coating layer are decomposed in the time domain, the correlation and overlap of the interlayer reflection signals are calculated, the interference feature discrimination criterion is established, and the interference feature evaluation data is obtained;

[0053] According to the interference feature evaluation data, the rotational overlapping interference at the pointer bearing, the concave and convex edge interference at the crown recess, and the surface scattering interference at the lug bend are marked to generate an interference rejection mark list.

[0054] Optionally, determining the data fusion weight according to the regional attribute list, performing regional fusion on the reflection signals in the multi-spectral domain data set that have been screened by the interference rejection mark list according to the data fusion weight to generate surface detection data, includes:

[0055] Initializing the weight of the graded labeling information of the electronic watch pointer bearing, the crown depression and the lug bend in the regional attribute list, determining the regional priority according to the positional relationship of the multi-layer coating structure, and obtaining the initial regional weight data;

[0056] According to the interference removal mark list, the distribution density of rotation overlap interference, concave-convex edge interference and surface scattering interference in each area is calculated, and the initial data of the area weight is corrected to obtain weight compensation data;

[0057] According to the weight compensation data, the reflected signals of the anti-glare layer, the anti-scratch layer and the decorative coating layer after being removed are weighted in layers, the signal fusion coefficient of each coating interface is determined, and the inter-layer weight distribution data is obtained;

[0058] Performing regional feature fusion on the inter-layer weight distribution data, grouping and clustering the removed reflection signals at the pointer bearing, the crown depression and the lug bend according to regional similarity, and obtaining regional feature clustering data;

[0059] According to the regional feature clustering data, the reflection signals of the continuous curved surface area are smoothly transitioned, the reflection signals of the microstructure dense area are locally enhanced, and the reflection signals of the curvature steep change area are boundary optimized to generate surface detection data.

[0060] A second aspect of the present invention provides a laser detection device for the surface accuracy of an electronic watch, comprising: a memory and at least one processor, wherein instructions are stored in the memory, and the memory and the at least one processor are interconnected via lines; the at least one processor calls the instructions in the memory to enable the laser detection device for the surface accuracy of an electronic watch to perform the steps of the above-mentioned laser detection method for the surface accuracy of an electronic watch.

[0061] In the above technical solution, by obtaining the optical and geometric features of the surface before detection, and then dividing the surface into regions based on these features, a precise foundation can be laid for subsequent laser excitation and signal acquisition. This approach is not just a simple division of the detection range, but a targeted marking of high specular reflections, coating thickness mutations, curvature abrupt changes, and microstructure interlacing that may appear in different regions, so that in the subsequent scanning process, a "zoning policy" is truly achieved. If the surface of the electronic watch produces multiple refractions or interferences at a certain point, the system can combine the optical and geometric information marked at that point to determine the band combination and pulse frequency of the laser, so that the laser beam is triggered in time within the correct time window, reducing unnecessary power waste, and separating the reflection peaks between different layers in the multi-spectral domain signal. Since each area can obtain a dedicated laser configuration and time-sharing excitation strategy, the interference overlap caused by the superposition of multiple layers of coatings can be significantly reduced, while also leaving sufficient identification basis for subsequent temperature adjustment and interference elimination.

[0062] After completing the acquisition of multi-spectral domain data, the temperature is adjusted locally according to the high interference risk areas previously divided. The principle is that the refractive index and reflectivity of multi-layer coatings often fluctuate with temperature changes. If the temperature is not controlled, abnormal reflection peaks or time delay distortion may appear on some interfaces. After the temperature is adjusted, by recording the real-time temperature-controlled reflection data, it is possible to identify which reflection peaks are drifted by temperature changes, thereby eliminating such interference signals from the true interface reflection. Subsequently, the scattering characteristics of the reflection signals in each area are extracted, which can distinguish between ordinary interface reflections and special scattering caused by sudden changes in curvature or dense microstructures. With this idea, the measurement process will not be overwhelmed by the complex multiple reflection effects. Finally, in the data fusion stage, by assigning different weights to balance the reflection signals of each layer, the areas with larger curvatures and the locations where the microstructures are concentrated can be more finely corrected and enhanced, thereby achieving accurate extraction of the surface geometric contours. Because of this, the entire detection method has a systematic solution to the common multi-layer coating and curvature change problems on high-end electronic watches: first identify risks by region, then perform multi-spectral domain time-sharing scanning to separate the stacked reflections, and finally output the signal fusion based on controllable temperature and precise elimination, avoiding the measurement errors that cannot be completely eliminated by traditional single calibration and algorithm correction. In this way, not only the recognition of the real surface geometry is improved, but also the measurement consistency within the entire watch can be maintained, meeting the strict requirements of high-end watchmaking for appearance and quality. BRIEF DESCRIPTION OF THE DRAWINGS

[0063] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on the structures shown in these drawings without paying creative work.

[0064] Figure 1 A schematic diagram of an embodiment of a laser detection method for the surface accuracy of an electronic watch according to an embodiment of the present invention;

[0065] Figure 2 Schematic diagram of an embodiment of a laser detection device for the surface accuracy of an electronic watch in an embodiment of the present invention.

[0066] The realization of the purpose, functional features and advantages of the present invention will be further explained in conjunction with embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0067] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0068] It should be noted that if the embodiments of the present invention involve directional indications (such as up, down, left, right, front, back...), the directional indications are only used to explain the relative position relationship, movement status, etc. between the components under a certain specific posture (as shown in the accompanying drawings). If the specific posture changes, the directional indication will also change accordingly.

[0069] In addition, the descriptions of "first", "second", etc. in the present invention are only used for descriptive purposes and cannot be understood as indicating or implying their relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first" and "second" may explicitly or implicitly include at least one of the features. In addition, "and / or" in the full text includes three solutions. Taking A and / or B as an example, it includes technical solution A, technical solution B, and technical solution that satisfies both A and B. In addition, the technical solutions between the various embodiments can be combined with each other, which must be based on the ability of ordinary technicians in the field to implement. When the combination of technical solutions is contradictory or cannot be implemented, it should be considered that such combination of technical solutions does not exist and is not within the scope of protection required by the present invention.

[0070] An embodiment of the present application provides a laser detection method for the surface accuracy of an electronic watch. Figure 1 A flow chart of a laser detection method for the surface accuracy of an electronic watch provided in an embodiment of the present application. In this embodiment, the method includes:

[0071] See also Figure 1 , obtaining optical characteristic parameters and geometric characteristic parameters of the electronic watch surface, dividing the surface into regions according to the optical characteristic parameters and geometric characteristic parameters, and obtaining a region map and a region attribute list;

[0072] In one embodiment of the present invention, the method of obtaining optical characteristic parameters and geometric characteristic parameters of the surface of an electronic watch, dividing the surface into regions according to the optical characteristic parameters and geometric characteristic parameters, and obtaining a regional map and a regional attribute list includes: collecting reflected light intensity data of the interfaces of each layer in the multi-layer coating structure on the surface of the electronic watch, determining the optical change gradient at the junction of the coatings according to the difference in reflected light intensity between adjacent coating interfaces, and obtaining the optical characteristic parameters; obtaining local morphological data of the bearing of the electronic watch pointer, the concave part of the crown, and the bend of the lug, identifying the transition zone position of the micro-curved surface according to the local morphological data, and obtaining the geometric characteristic parameters; performing a layered analysis on the optical characteristic parameters to determine the optical change gradient of each layer. The coating optical partitioning data is obtained by measuring the reflection characteristics and transmission ratio of the coating, and the high specular reflection area and the coating thickness mutation area are marked according to the coating optical partitioning data; the curvature gradient analysis is performed on the geometric feature parameters to identify the curvature mutation position and the microstructure dense area to obtain the geometric partitioning data; the curvature abrupt change area and the microstructure staggered area are marked according to the geometric partitioning data; the marked area of ​​the coating optical partitioning data and the marked area of ​​the geometric partitioning data are spatially overlapped, and the multiple reflection risk assessment is performed on the overlapping area to generate a regional map, and each area is graded and labeled according to the reflection characteristics and curvature characteristics of the overlapping area to obtain a regional attribute list.

[0073] Specifically, in this scheme, it is first necessary to collect optical data on the interfaces of each layer in the multilayer coating structure on the surface of the electronic watch to obtain initial information sufficient to characterize the coating characteristics. To achieve this goal, a tunable light source and a high-sensitivity detector can be deployed on the detection device to generate quantifiable reflection signals at each interface by sequentially emitting light beams of different bands or power densities to the multilayer surface. Based on the collected reflected light intensity values, the difference between adjacent coating interfaces is numerically compared to determine the optical change gradient at the junction of the coatings. If the difference in reflected light intensity in a certain area is abnormally significant, it often indicates that there is a large jump in the refractive index or thickness between the layers. Here, it can be recorded as an area with a significant optical change gradient, and then the optical characteristic parameters are generated. Since different coatings are different in function and material composition, the refractive index and absorption coefficient between the anti-glare layer, the anti-scratch layer and the decorative coating are often quite different. Therefore, the transition characteristics of the interfaces of each layer can be more intuitively judged based on the difference in reflected light intensity, providing a subdivision basis for subsequent stratification analysis.

[0074] After obtaining the optical characteristic parameters, it is necessary to collect local morphological data at the pointer bearing, the crown depression, and the lug bend to identify the transition zone position of the tiny surface and then form geometric characteristic parameters. In order to collect the three-dimensional contour information of these areas, a structured light scanning or laser triangulation measuring instrument with micron-level resolution can be used to map the morphological data of each key position to a unified coordinate system. By performing surface fitting on these local point clouds or images, it is possible to identify whether there are narrow sleeve protrusions or hollow parts around the pointer bearing, the depth and arc angle of the crown depression, and the superposition of multiple curves at the lug bend. When it is found in the geometric calculation module that the surface of a certain area has an obvious sudden change in curvature, it can be marked as a transition zone of a tiny surface. The geometric characteristic parameters obtained in this way can reflect the overall condition of the coating fitting or bending on the complex surface, preparing for the subsequent curvature gradient analysis.

[0075] After completing the above basic collection, the optical characteristic parameters are layered and analyzed to determine the reflection characteristics and transmission ratio of each layer of coating, and the optical partitioning data of the coating is obtained. The "layered analysis" here needs to combine the previously identified optical change gradient value, compare the reflection intensity of different bands or time sequences on each interface, and divide the optical properties of the anti-glare layer, anti-scratch layer and decorative coating layer. If a layer shows an obvious high reflection curve in a specific spectral band, it can be identified as a high specular reflection area; if a sudden change in light intensity is detected in a certain area of ​​the same layer, it can be regarded as a drastic fluctuation in the coating thickness at this location, and it is marked as a thickness mutation area. Through the above layered analysis process, the functional and distribution differences of different coatings can be presented in the coating optical partitioning data. For example, if the refractive index characteristics of the outermost anti-glare film are very different from those of the lower coating, a higher reflection contrast is likely to appear at the interface, and the system locates it as a significant optical jump surface.

[0076] At the same time, curvature gradient analysis of geometric feature parameters can identify locations of sudden changes in curvature and areas with dense microstructures, forming geometric partitioning data. Curvature gradient analysis can calculate the curvature increments of adjacent sampling points by performing differential operations on local surfaces or using polynomial fitting methods. If the curvature change between consecutive grid units exceeds a preset threshold, the area can be identified as an area with abrupt curvature changes; if there are multiple arcs or protrusions superimposed in a small space in a local area, it can be recorded as a microstructure interlaced area. For example, if multiple curves are detected to be closely clustered and the curvature values ​​change rapidly at the bend of the lug, they can be classified as feature areas with high gradients and dense microstructures in the geometric partitioning data. Such partition labels can play an indicative role in subsequent multiple reflection analysis to avoid mixing scattered signals from different directions.

[0077] Subsequently, it is necessary to calculate the spatial overlap between the marked areas of the coating optical partitioning data and the marked areas of the geometric partitioning data to identify the locations where high specular reflection, sudden thickness changes and abrupt curvature changes, and interlaced microstructures exist at the same time, and perform multiple reflection risk assessment on these overlapping areas. In order to achieve accurate overlap calculation, it is necessary to unify the coordinate references of the optical and geometric data so that the coordinates of the same surface position can be aligned between different data sources. If an area is found to be in both a high specular reflection partition and a partition with abrupt curvature changes or interlaced microstructures, it means that there is a high probability of multiple reflections or interference peak superposition in the actual detection process, and this possibility can be quantified by the risk assessment model. Assuming that the lug area is detected to show high specular features in the coating stratification analysis, and the geometric calculation also confirms that there is an obvious curvature jump there, the probability of multiple reflections or scattering peaks is relatively higher, and a more sophisticated configuration is required in the laser energy distribution or scanning strategy.

[0078] After completing the risk assessment of the overlapping areas, the system will generate a regional map to visualize and centrally manage the above information. For those locations with higher risk levels, prominent marks can be added on the map to prompt the subsequent detection or data processing to refine the area. Combining the reflection characteristics and curvature characteristics of the overlapping areas, the system will also grade and label each area, and finally obtain a list of regional attributes. This list includes not only optical information such as high specular reflection or thickness mutation, but also covers the geometric characteristics of abrupt changes in curvature and interlaced microstructures, which facilitates the subsequent matching of specific locations with laser pulse frequencies, band configurations or temperature adjustment schemes, and improves the accuracy and stability of the overall detection. Through this comprehensive judgment of hierarchical analysis and spatial overlap, potential measurement error points can be better locked, and traceable and structured data support can be provided for subsequent operations.

[0079] Please continue reading Figure 1 , determining the laser band combination and pulse frequency of each area according to the area map and the area attribute list, performing time-sharing laser excitation on each area according to a preset time window, obtaining multi-spectral domain reflection signal data of the area, associating the multi-spectral domain reflection signal data with the area map and storing them, and generating a multi-spectral domain data set;

[0080] In one embodiment of the present invention, the laser band combination and pulse frequency of each region are determined according to the regional map and the regional attribute list, each region is subjected to time-sharing laser excitation according to a preset time window, and multi-spectral domain reflection signal data of the region is obtained. The multi-spectral domain reflection signal data is associated with the regional map and stored to generate a multi-spectral domain data set, including: determining a reflectivity reference threshold according to the distribution positions of high specular reflection areas and coating thickness mutation areas in the regional map, and obtaining initial band configuration parameters; determining a curvature compensation coefficient according to the graded marking of curvature abrupt change areas and microstructure interlaced areas in the regional attribute list, and correcting the initial band configuration parameters to obtain regional band combination data; and correcting the regional band combination data. The energy density of each band in the image is matched and analyzed with a reflectivity reference threshold, the minimum pulse interval of each area is determined, and the pulse frequency configuration data is obtained; the time window is divided for each area according to the pulse frequency configuration data, a band switching timing is established, and a time-sharing excitation sequence is obtained; the multi-layer coating structure on the surface of the electronic watch is scanned layer by layer according to the time-sharing excitation sequence, the reflection signal data of each coating interface is obtained, and the reflection signal data is layered and analyzed according to the optical properties of different coatings to obtain multi-spectral domain reflection signal data; the multi-spectral domain reflection signal data is data-labeled according to the regional division of the regional map, a regional association mapping table is established, the multi-spectral domain reflection signal data and the regional association mapping table are integrated and stored, and a multi-spectral domain data set is generated.

[0081] Specifically, it is first necessary to determine the reflectivity reference threshold and generate the initial configuration parameters of the band according to the distribution positions of the high specular reflection areas and coating thickness mutation areas in the regional map. To achieve this operation, the optical characteristic indicators corresponding to the high specular reflection and thickness mutation in the regional map can be retrieved, such as the maximum or minimum reflected light intensity value obtained in the previous step, and these characteristic indicators are combined to form a reference threshold representing the reflection extreme range of the region. If an area is marked as high specular reflection and is also marked as a thickness mutation position, the focus on the reflectivity peak or absorption characteristics can be further increased, and the corresponding numerical range can be appropriately widened or tightened when calculating the threshold. In this way, the initial configuration parameters of the band can be accurately locked before scanning, so that the subsequent laser band energy and emission timing will not be severely saturated or signal lost at high reflection or mutation locations.

[0082] After determining the initial band configuration parameters, it is necessary to refer to the hierarchical annotations of the curvature abrupt change areas and microstructure interlaced areas in the regional attribute list to determine the curvature compensation coefficient, and accordingly correct the initial band configuration parameters to obtain regional band combination data. Here, the "curvature compensation coefficient" can be set according to the complexity of the microstructure distribution and the amplitude of the curvature change. If a region has both abrupt changes in curvature and multiple microstructure intersections, the attenuation or time-sharing processing amplitude of the laser beam energy at that location should be increased to avoid signal aliasing due to too many curved surface reflection paths. In specific implementation, the curvature compensation coefficient can be combined with the initial band parameters of the previous step to make directional corrections to the energy density, pulse width or modulation wavelength of the laser, so that the layered scanning can maintain moderate signal acquisition efficiency and resolvability in these high interference or high curvature areas.

[0083] After completing the setting of the regional band combination data, it is necessary to match and analyze the energy density of each band with the reflectivity benchmark threshold to determine the minimum pulse interval of each area, and then obtain the pulse frequency configuration data. To implement this step, the optical properties of different bands and target areas can be cross-compared in the data processing algorithm. If it is found that the energy of a certain band is too high and the reflectivity of the target area is also high, the pulse interval needs to be increased to prevent signal saturation; if the energy of a certain band is low but the absorption or thickness mutation of the area is too large, the interval can be appropriately reduced and the power can be increased to ensure that resolvable echoes are collected. In this matching analysis process, the minimum pulse interval of different areas will change with the degree of high specular reflection or coating thickness mutation, and finally a list of pulse frequency configurations for all areas of the entire surface is obtained, so that the subsequent timing arrangement and scanning depth are more targeted.

[0084] When the pulse frequency configuration data is clear, the time windows of each area can be divided according to these intervals and frequencies, and the band switching sequence can be established to obtain a time-sharing excitation sequence. The design of the time-sharing excitation sequence must take into account the needs of different coatings for the outer and inner layers, while also ensuring that the reflection peaks can be better distinguished at high curvature or high reflection. By only stimulating one group of bands or emitting only a part of the pulses in the same time period, and then switching to the next band after the end of a specific time window, the detector can collect corresponding independent echoes at different time periods, reducing the interference of multi-band overlap on signal analysis. If a certain area has the characteristics of interlaced surfaces, the time-sharing excitation sequence can be used to make more detailed time divisions there to avoid the overlap of multiple reflections of the laser beam on different surfaces to the same pulse return channel.

[0085] When the multi-layer coating structure on the surface of the electronic watch is scanned layer by layer according to the above-mentioned time-sharing excitation sequence, the reflection signal data of each coating interface can be obtained. The basic principle of this layer-by-layer scanning is that the echo delay and intensity of different interfaces for specific bands or specific pulses are different. By time-sharing acquisition and spectral separation of the signal, the reflection peak of each layer of coating can be analyzed from the irradiation in the same direction. If the outer anti-glare film has high reflection in a certain band, its peak value will appear clearly in the early stage of the echo signal; the lower anti-scratch layer or decorative coating may appear in the subsequent delay interval. Since adjustments have been made for high curvature or high interference areas in the previous band configuration and pulse interval setting, the scanning of different areas can maintain good differentiation, and clear multi-layer interfaces can still be identified even in places with sudden changes in curvature or significant mirror reflection. Combined with the refractive index or absorption coefficient of different coatings, the system can perform layered analysis on the obtained reflection signal data and output multi-spectral domain reflection signal data.

[0086] Finally, the multi-spectral domain reflection signal data needs to be annotated according to the division of the regional map, and the two are integrated and stored with the help of the established regional association mapping table to generate a multi-spectral domain data set. Through the association mapping table, the specific area where each reflection peak comes from, as well as the corresponding key information such as band and pulse configuration can be accurately located, thereby providing a complete and traceable signal basis for subsequent interference elimination, temperature adjustment or other correction schemes. If an abnormal peak or delay is found in a certain area, it can be traced back to the specific coating interface and pulse timing after corresponding to the association mapping table, and further compared with the regional map and attribute list to determine whether it is caused by the maximum curvature point or the sudden change in thickness. This multi-spectral domain data set can provide detailed real-time reference for the decision-making layer or the automated detection system in the subsequent analysis and optimization process, so that the entire scanning strategy and data processing can be flexibly expanded when facing more complex coatings or further refined stratification.

[0087] In one embodiment of the present invention, the multi-layer coating structure on the surface of the electronic watch is scanned layer by layer according to the time-sharing excitation sequence to obtain reflection signal data of each coating interface, and the reflection signal data is analyzed in layers according to the optical properties of different coatings to obtain multi-spectral domain reflection signal data, including: determining the scanning timing of each layer of coating according to the time-sharing excitation sequence, and progressively scanning the surface of the electronic watch from the outer layer to the inner layer to obtain layer-by-layer scanning data; performing time-series correlation analysis on the reflection signals of adjacent coating interfaces in the layer-by-layer scanning data to determine the reflection time difference of each interface to obtain interface reflection delay data; screening out interface positions with abnormal reflection time according to the interface reflection delay data, and repeatedly collecting reflection signals of abnormal interfaces for multiple times to obtain interface repeated collection data; performing time-series comparison between the interface repeated collection data and the layer-by-layer scanning data to eliminate unstable reflection signals and obtain stable interface reflection signals; and classifying the stable interface reflection signals in layers according to the optical properties of the anti-glare layer, the anti-scratch layer and the decorative coating layer to obtain multi-spectral domain reflection signal data.

[0088] Specifically, in this technical solution, it is necessary to first determine the scanning timing of each layer of coating based on the aforementioned time-sharing excitation sequence, so that in the specific operation, the multi-layer coating structure on the surface of the electronic watch can be progressively scanned in order from the outside to the inside, and then the layer-by-layer scanning data can be obtained. The time-sharing excitation sequence here includes both the division of different bands or pulse energy densities and the detailed configuration of the time window, so as to ensure that the reflection signal generated at each layer of the coating interface can obtain a relatively independent collection opportunity. If the outer coating exhibits high reflectivity or high curvature characteristics, the system will first complete the laser emission and signal collection of this layer, and then pulse excitation of the lower layer in subsequent time segments. By making a one-to-one correspondence between the scanning order from the outer layer to the inner layer and the pulse timing, the order of the reflection peaks of different coatings can be more intuitively distinguished at the data level, avoiding time domain aliasing caused by multiple reflection interference.

[0089] After obtaining the layer-by-layer scanning data, it is necessary to perform a time-series correlation analysis on the reflection signals of adjacent coating interfaces to determine the reflection time difference of each interface and further obtain the interface reflection delay data. Specifically, the echo signals captured in the same area under two (or more) adjacent pulse excitations can be arranged in chronological order, and the peak positions can be matched using an algorithm. If there are differences in material or thickness between the outer coating and the inner coating, the reflection signals of the two often fall in different time periods. When the difference between the adjacent interface reflection peaks is statistically calculated, the interface reflection delay data can be obtained. On this basis, if the peak position of a pair of adjacent interfaces is significantly offset compared to the theoretical value or the conventional threshold, it indicates that there may be abnormal coating thickness, significant changes in refractive index, or special interference phenomena. After these parameters are sorted out, it can assist in judging whether multiple scattering occurs during the scanning process or the signal exceeds expectations.

[0090] After the interface positions with abnormal reflection time are screened out based on the interface reflection delay data, it is necessary to repeatedly collect the reflection signals of these abnormal interfaces to obtain interface repeated collection data. Multiple repeated collections can be completed in different time windows or by fine-tuning the pulse energy. The purpose is to allow the detection system to re-emit pulses at the same position and compare the consistency of the signals received multiple times. If the repeated collection still shows that the peak delay deviates from the normal range, it can be further confirmed that there is indeed a more serious refraction or thickness mutation at that location; if the repeated collection results return to the normal range, it also means that the previous collection may be affected by pulse interference, detector saturation or other transient noise. This link is equivalent to establishing a more rigorous detection mechanism for specific abnormal positions, which can eliminate misjudgments caused by transient interference and better adapt to the reflection nonlinearity that may exist in the local structure of high-end electronic watches.

[0091] Then, it is necessary to compare the repeated acquisition data of the above interface with the previous layer-by-layer scanning data in time series, and eliminate unstable reflection signals to finally obtain stable interface reflection signals. In other words, if a group of peaks show drastic fluctuations in amplitude or random delays in multiple repeated acquisitions, the system will regard it as noise or unreliable signals, and filter it at the data level. The interface reflection signals retained after such screening can more accurately reflect the true boundaries and optical properties of the coating, thereby greatly improving the reliability of multi-spectral domain detection results. It is worth noting that this process usually requires the use of threshold judgment and statistical methods to compare the average value or variance of the peak in repeated acquisition with the preset stability threshold. After confirming that the peak meets the stability requirements, it can be included in the subsequent analysis.

[0092] Finally, the stable interface reflection signals need to be layered and classified according to the optical properties of the anti-glare layer, anti-scratch layer and decorative coating layer to obtain multi-spectral domain reflection signal data. Since these three coatings have their own characteristics in refractive index, spectral absorption coefficient and surface morphology, the reflection peaks will also differ in intensity, band response and delay characteristics. By combining the previous timing information and the known material parameters of each layer, the specific interface corresponding to each reflection peak can be more accurately locked. If the system recognizes that the wavelength response mode of a peak value meets the refractive characteristics of the anti-glare film, it will be classified as the anti-glare layer interface; if the signal intensity is continuously high and the peak width is consistent with the coating layer, it can be classified as the decorative coating interface. By integrating these layered and classified reflection data again, a complete set of multi-spectral domain reflection signal data can be generated, providing more information support for subsequent temperature control, interference elimination and overall accuracy evaluation. The analysis method of progressive scanning from the outer layer to the inner layer and correlating with the time series can better eliminate the interference of transient noise and abnormal peaks in the complex scenario of multi-layer coating structure of high-end electronic watches, so that the overall detection process can more finely display the optical properties and distribution of each layer interface.

[0093] Please continue reading Figure 1 , according to the regional attribute list and the multi-spectral domain data set, locally adjust the temperature of the high interference risk area, obtain the multi-spectral domain reflection signal data after temperature adjustment, and generate a temperature control data log;

[0094] In one embodiment of the present invention, the method of performing local temperature adjustment on the high interference risk area according to the area attribute list and the multi-spectral domain data set, obtaining the multi-spectral domain reflection signal data after temperature adjustment, and generating a temperature control data log includes: determining the temperature sensitive area according to the annotation information of each area in the area attribute list and the reflection signal intensity distribution in the multi-spectral domain data set, and obtaining the temperature control target area data; performing layered statistics on the reflection peak intensity of the anti-glare layer, the anti-scratch layer and the decorative coating layer in the temperature control target area data, determining the temperature fluctuation threshold of each layer, and obtaining inter-layer temperature control reference data; calculating the temperature gradient value between adjacent coatings according to the inter-layer temperature control reference data, performing zoned temperature adjustment on the temperature control target area, and obtaining local temperature adjustment data; collecting the adjusted multi-layer interface reflection signal according to the local temperature adjustment data, and generating real-time temperature control reflection data; recording the correlation characteristics between temperature and reflection intensity according to the reflection signal changes of each coating in the real-time temperature control reflection data, and generating a temperature control data log.

[0095] Specifically, in this technical solution, it is necessary to first determine the temperature-sensitive area based on the annotation information in the regional attribute list and the distribution of reflection signal intensity provided by the multi-spectral domain data set, so as to obtain the temperature control target area data. This process requires retrieving the regional information summarized in the early stage for labels such as high specular reflection, abrupt change in curvature or sudden change in thickness, and comparing it with the reflection peak and energy distribution of each coating interface in the multi-spectral domain data set. If certain areas show large fluctuations in reflection characteristics and are marked as high-precision requirements or multiple interference risk areas in the previous attribute list, it can be determined that the area is more sensitive to changes in ambient temperature. After these locations are gathered, the temperature control target area data can be obtained, laying the foundation for the next step of hierarchical statistics and temperature gradient analysis.

[0096] After the temperature control target area is determined, it is necessary to perform stratified statistics on the reflection peak intensity of the anti-glare layer, anti-scratch layer and decorative coating layer to determine the temperature fluctuation threshold of each layer and form inter-layer temperature control reference data. This stratified statistics can be based on the multi-spectral domain reflection signals obtained by previous time-sharing excitation or layer-by-layer scanning, and the peaks at different positions in the same layer can be aggregated according to the coating category and compared. If the same anti-glare layer also shows significant differences in reflection intensity when the temperature does not change much, it can be determined that the layer is very sensitive to temperature, so that a stricter threshold can be assigned to it in the temperature control reference data. If the decorative coating layer exhibits good resistance to temperature interference, the corresponding threshold can be moderately relaxed. On this basis, the temperature fluctuation tolerance of each layer is quantified one by one, so that in subsequent adjustments, zoning measures can be implemented according to the characteristics of different coatings.

[0097] Subsequently, it is necessary to calculate the temperature gradient value between adjacent coatings based on the interlayer temperature control reference data, perform zone temperature adjustment on the temperature control target area, and finally generate local temperature adjustment data. To implement this process, the temperature fluctuation tolerance of each coating layer in the temperature control target area can be used, combined with the upper and lower interface temperature characteristics of the adjacent layers, to infer the area where sudden changes or transitions may occur. If the temperature sensitivity difference between two layers is large, sudden fluctuations in the optical reflection characteristics are very likely to occur in the transition area, and a more sophisticated heating or cooling solution can be used at this location. By dividing each sub-area into a temperature stable zone, a temperature gradient transition zone, etc., the system can adjust the control instructions according to the specific location of the target area, thereby providing a more suitable temperature environment for the multi-layer interface and reducing the drift of the reflection peak caused by thermal expansion or material stress.

[0098] After completing the local temperature adjustment, it is necessary to collect the reflection signals of each coating interface again to generate real-time temperature control reflection data. By performing comparative sampling before and after the temperature control is implemented or at different temperature points, the impact of temperature adjustment on the reflection peak position, intensity and delay can be evaluated. If the coating thickness is found to be sensitive in certain microstructure areas, peak drift may occur under high or low temperature conditions. The system can repeatedly make small adjustments to the area and record the peak changes after the adjustment to ensure that relatively stable reflection data is obtained in the scenario of multi-layer coating on the surface of high-end electronic watches.

[0099] Finally, according to the changes in the reflection signals of each coating in the real-time temperature control reflection data, the correlation characteristics between temperature and reflection intensity are recorded to generate a temperature control data log. This log not only contains the response of each layer of coating to the temperature gradient, but also indicates the relationship between the temperature change rate and the swing amplitude of the reflection peak, thereby providing additional parameter support for subsequent interference elimination and data fusion. If it is found during the temperature control process that the signal of a certain layer is extremely sensitive within a specific temperature range, it can be regarded as a key risk point in subsequent inspections or production links; if a layer remains stable under actual temperature fluctuations, it also means that its material properties and stacking structure have better reliability within this range. Therefore, the entire set of temperature regulation and reflection data acquisition processes can help the system ensure detection accuracy in complex coating stacks and curved surface environments, and lay a solid foundation for further signal analysis and interference correction.

[0100] In one embodiment of the present invention, the reflection peak intensities of the anti-glare layer, the anti-scratch layer and the decorative coating layer in the temperature control target area data are subjected to hierarchical statistics to determine the temperature fluctuation threshold of each layer to obtain interlayer temperature control reference data, including: extracting the reflection peak intensity sequences of the anti-glare layer, the anti-scratch layer and the decorative coating layer according to the temperature control target area data, performing time series decomposition on the reflection peak intensity sequences to obtain interlayer reflection intensity data; calculating the intensity ratios of adjacent coating reflection peaks in the interlayer reflection intensity data, marking the coating interfaces with abnormal intensity ratios to obtain interface abnormality marking data; performing temperature response testing on the marked coating interfaces according to the interface abnormality marking data to obtain interface temperature sensitivity data; performing hierarchical clustering on the interface temperature sensitivity data to determine the temperature response characteristics of different coatings to obtain coating temperature characteristic data; determining the temperature fluctuation tolerance range of each coating layer according to the coating temperature characteristic data to generate interlayer temperature control reference data.

[0101] Specifically, in this technical solution, it is necessary to extract the reflection peak intensity sequences of the anti-glare layer, anti-scratch layer and decorative coating layer from the temperature control target area data, and perform time series decomposition on these sequences to obtain the inter-layer reflection intensity data. This time series decomposition process, combined with the previous time-sharing excitation information, can match the peak values ​​of the same measurement area in different time windows or different bands, and uniformly number and sort the reflection signal sequences of each layer. If the outer anti-glare film and the lower anti-scratch layer have peaks at the same position, the intensity curves of the two layers can be marked in the sequence at that position, each corresponding to a different incident time or spectral segment, to ensure that the optical responses of different stacked layers can be distinguished in subsequent analysis.

[0102] After obtaining the interlayer reflection intensity data, it is necessary to calculate the intensity ratio of the reflection peaks of adjacent coatings to find the coating interface with abnormal intensity ratio, and mark the result as interface abnormality mark data. If the reflection intensity ratio between an anti-glare layer and its underlying anti-scratch layer is much higher than the normal range, it may indicate that unexpected bubbles, layer thickness differences, or refractive index mutations appear in the laminated structure at that location; if the ratio continues to be low, it may also mean that part of the coating has failed or the optical absorption rate has increased abnormally. By cross-comparing the ratio in multiple measurements or multi-band detections, the true abnormal location can be more accurately extracted and marked in the interface abnormality mark data, so as to facilitate targeted processing of subsequent temperature response tests.

[0103] Subsequently, it is necessary to perform temperature response tests on these coating interfaces in combination with the interface abnormality mark data to obtain the interface temperature sensitivity data. The temperature response test usually uses a micro-temperature control or micro-heating / cooling device to gradually change the temperature of the target area and collect the stack reflection peak intensity again at each temperature point. If the reflection intensity is observed to fluctuate rapidly with the rise and fall of temperature at certain abnormal mark interfaces, it can be concluded that the interface of this layer is very sensitive to temperature, while other interfaces with smooth curves can be considered to be relatively insensitive or less affected by temperature. In this process, it is necessary to map the previous reflection peak ratio with the temperature curve. By recording the rate of change of the intensity curve at different temperatures, it is possible to comprehensively judge whether it is caused by the coating material itself or the poor interlayer bonding.

[0104] After completing the temperature response test, the interface temperature sensitivity data needs to be hierarchically clustered to clarify the temperature response characteristics of different coatings and generate coating temperature characteristic data. The hierarchical clustering approach is usually based on clustering analysis of factors such as the fluctuation amplitude and rate of the reflection peak intensity of each interface as the temperature changes, and whether there is an inflection point. If a batch of interfaces exhibit an approximate linear response curve within a large temperature range, they can be classified into the same group; if other interfaces only fluctuate violently in a specific temperature range, they are divided into another group. By this means, the tolerance range of different stacked coatings when the temperature changes and the change model of the reflection signal can be known.

[0105] Finally, the temperature fluctuation tolerance range of each layer of coating needs to be determined based on the above coating temperature characteristic data to generate interlayer temperature control reference data. If a layer shows high thermal sensitivity in the temperature response test, a narrower temperature control upper and lower limits should be set to ensure that subsequent testing or working environment will not significantly exceed its tolerable thermal range; if some layers always maintain a stable reflection peak in multiple tests, a wider tolerance can be provided to simplify the scheduling of the temperature control system. The interlayer temperature control reference data formed includes not only the threshold for each layer of coating, but also indicates the detection curve and clustering results behind the threshold, so that when performing the overall temperature control operation later, it can be distinguished which stacking layers need to be focused on and which stacking layers can adopt more conventional temperature management strategies. In this way, the differences in the impact of different coatings on temperature can be finely incorporated into the control system, further ensuring the detection stability and accuracy of multi-layer electronic surface coatings in thermal environments.

[0106] In one embodiment of the present invention, the temperature gradient value between adjacent coatings is calculated based on the interlayer temperature control reference data, and the temperature control target area is subjected to zoned temperature regulation to obtain local temperature regulation data, including: obtaining the interlayer temperature control reference data of the pointer area, the crown area, and the lug area, and calculating the temperature gradient distribution in the vertical and horizontal directions according to the relative position relationship between the anti-glare layer and the anti-scratch layer, and the anti-scratch layer and the decorative coating layer to obtain multidimensional temperature gradient data; performing a layered analysis on the vertical temperature gradient in the multidimensional temperature gradient data to identify the position of the interlayer temperature mutation, performing a regional analysis on the horizontal temperature gradient to identify the position of the plane temperature mutation, and obtaining the temperature gradient profile data; According to the temperature gradient profile data, the temperature control target area is adaptively partitioned, the continuous temperature gradient area is divided into a temperature coordination area, the temperature mutation position is divided into a temperature transition area, and the temperature stability area is divided into a temperature buffer area, so as to obtain temperature function zoning data; based on the temperature function zoning data, the common adjustment parameters of the temperature coordination area, the gradient adjustment parameters of the temperature transition area and the stable adjustment parameters of the temperature buffer area are calculated, and a temperature compensation relationship between the areas is established to obtain partition temperature mapping data; according to the partition temperature mapping data, the temperature coordination area is controlled to achieve synchronous heating or cooling, the temperature transition area is controlled to achieve gradual temperature adjustment, and the temperature buffer area is controlled to achieve constant temperature maintenance, so as to generate local temperature adjustment data.

[0107] Specifically, in this technical solution, it is necessary to first obtain the interlayer temperature control reference data of the pointer area, crown area and lug area, and calculate the temperature gradient distribution in the vertical and horizontal directions according to the relative position relationship between the anti-glare layer and the anti-scratch layer, and the anti-scratch layer and the decorative coating layer, so as to form multi-dimensional temperature gradient data. The specific implementation method can use the previously generated coating temperature characteristic data, combined with the temperature fluctuation tolerance of each layer in the vertical direction (such as outside to inside) and the horizontal direction (such as regional plane diffusion), to determine the thermal interaction of each coating layer in each key area (pointer, crown, lug). If there is a large difference in the temperature tolerance range between the upper and lower layers in the same area, the gradient distribution in the vertical direction will be relatively more obvious; if the horizontal direction causes uneven heat diffusion due to structural or material changes, the horizontal temperature gradient will increase accordingly.

[0108] After obtaining the multi-dimensional temperature gradient data, it is necessary to perform a layered analysis on the vertical temperature gradient and identify the location of the temperature mutation between the layers. Then, a regional analysis is performed on the horizontal temperature gradient to identify the location of the temperature mutation on the plane, thereby obtaining the temperature gradient profile data. The layered analysis is usually based on the previously defined coating stack structure, and the temperature control reference data between each two layers in the vertical direction are compared one by one. If the temperature tolerance range of some layers does not match, a significant curve mutation will occur in the vertical gradient distribution. At the same time, in the horizontal direction, the location where the temperature jumps sharply can be determined based on the thermal diffusion curves between the pointer area, the crown area and the lug area. If a certain radius or arc crosses different coatings or curvature structures, the temperature in the plane is also prone to significant mutations. By integrating these vertical and horizontal mutation locations, each "thermal transition zone" can be clearly marked in the temperature gradient profile data.

[0109] Then, it is necessary to adaptively partition the temperature control target area based on the temperature gradient profile data, by dividing the continuous temperature gradient area into the temperature coordination area, the temperature mutation location into the temperature transition area, and the temperature stable area into the temperature buffer area, so as to generate the temperature function partition data. The temperature coordination area generally refers to the area where the heat capacity and tolerance range of multiple coatings are roughly consistent, and it is suitable to adopt a unified heating or cooling strategy; the temperature transition area often has obvious interlayer or plane temperature differences, which can easily lead to thermal stress or optical reflection drift at the interface of different materials, and a more gradual control method is required; the temperature buffer area usually exhibits a relatively stable heat distribution, which can be used as a thermal balance or isolation zone to reduce the interference of local overcooling and overheating on adjacent areas.

[0110] On this basis, the system will calculate the common adjustment parameters of the temperature coordination zone, the gradient adjustment parameters of the temperature transition zone, and the stable adjustment parameters of the temperature buffer zone according to the temperature function zoning data, and establish the temperature compensation relationship between the zones, and finally obtain the zone temperature mapping data. In other words, for the temperature coordination zone, if the thermal sensitivity curves of several coatings are consistent in the same temperature range, a unified adjustment plan for synchronous heating or cooling can be given; for the temperature transition zone, if it is detected that the upper and lower layers or the left and right areas are obviously unbalanced in thermal characteristics, it is necessary to use increasing or decreasing temperature compensation methods to smoothly cross the thermal transition zone that may produce large reflection errors; and in the temperature buffer zone, a nearly constant temperature method can be used to maintain stability.

[0111] Finally, the system will control the temperature coordination zone to implement synchronous heating or cooling operations, control the temperature transition zone to perform gradual temperature adjustment, control the temperature buffer zone to maintain a constant temperature state, and generate local temperature adjustment data after the operation is completed. In this way, whether in the hands, crowns or lugs of the electronic watch, the corresponding dynamic control strategy can be obtained through partition temperature mapping, so that the multi-layer coating can more stably present the real optical reflection information under the precise temperature environment. This move can not only effectively alleviate the thermal stress and reflection coupling at multiple overlapping layers, but also help the detection system to improve the recognition and correction capabilities of multiple reflections and interference phenomena by reasonably allocating control resources in the temperature dimension when facing parts with extremely large curvatures or significant changes in coating thickness.

[0112] Please continue reading Figure 1 , using the regional map, the multi-spectral domain data set and the temperature control data log, extracting scattering features of the reflection signal of each region, identifying interference peaks of the reflection signal according to the extracted scattering features, and generating an interference rejection mark list;

[0113] In one embodiment of the present invention, the regional map, the multi-spectral domain data set and the temperature control data log are used to extract scattering features of the reflection signal of each region, and the interference peak is identified on the reflection signal according to the extracted scattering features to generate an interference rejection mark list, including: performing temperature correction on the reflection signal in the multi-spectral domain data set according to the temperature control data log to eliminate the reflection intensity offset caused by temperature fluctuations to obtain temperature correction signal data; regional mapping is performed on the temperature correction signal data to extract reflection signal features at the pointer bearing, the crown recess and the lug bend, and spatially compare the reflection signal features with the curvature steep change area and the microstructure interlaced area in the regional map. Matching is performed to obtain data of scattering-prone areas; based on the scattering-prone area data, the adjacent coating interface reflection signals in the temperature correction signal data are traversed layer by layer, the interface reflection intensity ratio and the time delay difference are calculated, the abnormal reflection peaks are identified, and the abnormal peak characteristic data are obtained; according to the abnormal peak characteristic data, the reflection signals at the interface between the anti-glare layer and the anti-scratch layer, and the interface between the anti-scratch layer and the decorative coating layer are decomposed in the time domain, the correlation and overlap of the interlayer reflection signals are calculated, the interference feature discrimination criterion is established, and the interference feature evaluation data is obtained; according to the interference feature evaluation data, the rotation overlapping interference at the pointer bearing, the concave and convex edge interference at the crown recess, and the surface scattering interference at the lug bend are marked to generate an interference rejection mark list.

[0114] Specifically, in this technical solution, it is necessary to perform temperature correction on the reflection signal in the multi-spectral domain data set based on the temperature control data log, so as to eliminate the offset of the reflection intensity caused by temperature fluctuations, and finally obtain temperature-corrected signal data. In order to achieve this goal, the system has recorded the optical characteristics of each layer of coating under different temperature conditions through temperature adjustment and sampling logs in the early stage. When these temperature response information are matched one by one with the multi-spectral domain reflection signal, it is possible to identify and eliminate the reflection peak drift or amplitude abnormality caused by local high or low temperature, so that subsequent analysis can focus more on the real interference phenomenon between the coating and the surface. If a coating shows a significant increase or decrease in reflection intensity within a certain temperature threshold, the reflection data of the area can be corrected accordingly in the correction algorithm, and the values ​​of other areas can be kept unchanged, so that the optical data of each area after correction are comparable on the same temperature reference.

[0115] After completing the temperature correction, it is necessary to perform regional mapping on the temperature correction signal data, extract the reflection signal characteristics at the pointer bearing, the crown depression, and the bend of the lug, and spatially match them with the curvature abrupt change area and the microstructure interlaced area in the regional map to obtain the scattering-prone area data. This process relies on the previously generated regional map and attribute list, and with the help of coordinate alignment and label mapping technology, it can quickly determine which microstructure complex parts the peaks in the correction signal belong to. If the area around the pointer bearing has been identified as a high curvature or complex mechanical structure area, then if there are greatly fluctuating reflection peaks in the correction signal, it can be summarized as scattering-prone area information to remind the next step of the interference detection module to focus on analysis.

[0116] Based on the data of the scattering-prone area, it is necessary to traverse the adjacent coating interface reflection signals in the temperature-corrected signal data layer by layer, calculate the interface reflection intensity ratio and time delay difference, and then identify the abnormal reflection peak and output the abnormal peak characteristic data. The purpose of layer-by-layer traversal is to distinguish the normal reflection signals between the layers of coating and the potential multiple interference signals: when a certain interface has an unreasonable peak offset from the theoretical reference in terms of band or time delay, or is disproportionate to the adjacent layer in terms of intensity ratio, it can be regarded as an abnormal peak. For example, if the reflection intensity ratio between the anti-glare layer and the underlying scratch-resistant layer suddenly rises to an abnormal level in the scattering-prone area, while other similar areas remain normal, it means that the location may be caused by the coupling of multiple effects such as mirror scattering, surface focusing or structural defects.

[0117] After the abnormal peak is identified, it is necessary to perform time domain decomposition on the reflection signals at the interface between the anti-glare layer and the anti-scratch layer, and the interface between the anti-scratch layer and the decorative coating layer according to the abnormal peak characteristic data, calculate the correlation and overlap of the interlayer reflection signals, and thus establish interference feature discrimination criteria and obtain interference feature evaluation data. Specifically, the multiple detected peaks can be matched in the time series or phase space. If two or more highly coupled peaks appear in the same area at the same time, and the peak spacing does not meet the threshold requirement, and the correlation is high, it can be judged as interference overlap. By quantifying the overlap, the strength of different interference phenomena can be subdivided: if the two-layer interface signals are highly overlapped, it means that the interference phenomenon there is more complex, and more in-depth analysis is required during subsequent elimination or correction.

[0118] Finally, the system marks the rotational overlapping interference at the pointer bearing, the concave-convex edge interference at the crown recess, and the curved surface scattering interference at the lug bend based on the interference feature evaluation data, and forms an interference rejection mark list. In this way, for the parts of electronic watches where complex scattering or multiple reflections most often occur, there are clear and traceable interference type labels to guide subsequent correction or optimization processes. If a certain place is marked as rotational overlapping interference, it means that there are repeated peaks related to the rotating structure around the pointer bearing; if it is marked as concave-convex edge interference, it indicates that edge peak coupling caused by sudden change of curvature occurs in the crown recess; and for the curved surface scattering interference of the lug bend, it is necessary to consider the superposition of the curved folded surface and multi-layer coating. With the help of this interference rejection mark list, the system can further perform targeted noise filtering in the interference correction and signal fusion stages, significantly improving the detection accuracy of multi-layer coatings and curved surface structures.

[0119] Please continue reading Figure 1 , determine the data fusion weight according to the regional attribute list, perform regional fusion on the reflection signals in the multi-spectral domain data set that have been screened by the interference elimination mark list according to the data fusion weight, and generate surface detection data.

[0120] In one embodiment of the present invention, the data fusion weight is determined according to the regional attribute list, and the reflected signal in the multi-spectral domain data set that has been screened by the interference rejection mark list is regionally fused according to the data fusion weight to generate surface detection data, including: weight initialization of the graded labeling information at the electronic watch pointer bearing, the crown depression and the lug bend in the regional attribute list, determining the regional priority according to the positional relationship of the multi-layer coating structure, and obtaining the initial regional weight data; according to the interference rejection mark list, the distribution density of rotational overlapping interference, concave and convex edge interference and surface scattering interference in each region is calculated, and the initial regional weight data is corrected. Obtain weight compensation data; according to the weight compensation data, perform layered weighting on the reflected signals after removal of the anti-glare layer, the anti-scratch layer and the decorative coating layer, determine the signal fusion coefficient of each coating interface, and obtain inter-layer weight distribution data; perform regional feature fusion on the inter-layer weight distribution data, group and cluster the reflected signals after removal at the pointer bearing, the crown recess and the lug bend according to regional similarity, and obtain regional feature clustering data; according to the regional feature clustering data, perform smooth transition on the reflected signals in the continuous curved surface area, locally enhance the reflected signals in the microstructure dense area, and optimize the boundaries of the reflected signals in the curvature steep change area to generate surface detection data.

[0121] Specifically, in this technical solution, it is first necessary to initialize the weights of the graded annotation information about the electronic watch pointer bearing, crown depression and lug bend in the regional attribute list, and determine the regional priority in combination with the spatial distribution relationship between the multi-layer coating structures, so as to obtain the initial data of the regional weight. This process is usually based on the comprehensive consideration of the curvature mutation, microstructure interlacing, high specular reflection or thickness mutation marks in the regional map and attribute list in the early stage. If the pointer bearing has abnormal peaks multiple times during the layered scanning and is also determined as a high-risk area in the curvature gradient analysis, it can be given a higher priority coefficient during weight initialization; if the multiple partitions at the lug bend only interfere with a small degree in very rare cases, the weight value can be appropriately reduced. Through such classification and position relationship matching, the potential impact of each area on the overall detection accuracy can be presented in the initial stage.

[0122] Next, it is necessary to calculate the distribution density of rotational overlapping interference, concave-convex edge interference, and surface scattering interference in each area based on the interference removal mark list, and correct the initial data of the above-mentioned area weights to obtain weight compensation data. The type and frequency of each interference phenomenon will be indicated in the interference removal mark list. If a certain area has both rotational overlapping interference and surface scattering interference, and the distribution range of both is large, it means that the detection complexity and uncertainty factors of this area are relatively higher, and the weight needs to be increased to ensure that subsequent signal fusion pays enough attention to this area. If a certain area is marked as a high specular reflection area in the early stage, but the interference peak is basically eliminated after repeated corrections, its proportion value can be appropriately lowered during weight compensation to avoid excessive amplification during overall synthesis. Through this coupled analysis of the distribution density of interference types and the degree of regional risk, the system can further refine the level of attention to key areas and generate weight compensation data that is more in line with the actual situation.

[0123] After completing the weight compensation, the reflection signals after the anti-glare layer, anti-scratch layer and decorative coating layer need to be weighted in layers to determine the signal fusion coefficients of each coating interface and form inter-layer weight distribution data. The purpose of this layered weighting is to balance the reflection signals after interference removal of different layers, so that high mirror surfaces or thickness mutations will not be misjudged due to their intensity, and the weaker but still critical inner layer reflections can be retained in the overall data fusion. If it is determined in the early stage that a certain layer is highly sensitive to temperature or curvature anomalies, the system will increase the coefficient of this layer during the weighting process to ensure that there is still a signal sufficient to distinguish the characteristics of this layer in the final surface detection data. On the contrary, for layers that have been confirmed to be stable and low in noise in multiple tests, their weighting ratio can be appropriately reduced to avoid unnecessary peak interference during overall synthesis.

[0124] Subsequently, it is necessary to perform regional feature fusion on the inter-layer weight distribution data, and group and cluster the removed reflection signals at the pointer bearing, crown depression and lug bend according to regional similarity to form regional feature clustering data. The measurement of regional similarity can be based on the similarity index of each region in terms of curvature abrupt change, microstructure superposition, reflection intensity and interference type. If the pointer bearing and the crown depression show high similarity in multi-layer distribution and interference type, the system can classify the two into the same cluster group, so as to facilitate the unified application of similar correction or enhancement strategies in subsequent processing. If the lug bend is significantly different from the previous two, it will be assigned to a different group. Through this classification process, it is possible to avoid repeatedly performing the same pattern retrieval on each region in the later stage of measurement or data synthesis, thereby improving the overall computing efficiency and reliability.

[0125] Finally, the system will implement smooth transition processing on the reflection signals of continuous surface areas according to regional feature clustering data, perform local enhancement operations on the reflection signals of microstructure dense areas, and optimize the boundaries of reflection signals in areas with steep curvature changes, and then generate surface detection data. Smooth transition is often used for continuous surfaces with high connectivity between adjacent scanning segments or bands. It can flatten overly sharp signal boundaries to truly reflect the flexible changes of the surface under actual lighting conditions; local enhancement is suitable for those microstructure areas with multiple reflection peaks but small amplitudes within a short distance, making it easier to distinguish different coatings or concave and convex shapes during subsequent interference removal; for peak mutations caused by steep curvature changes, it is necessary to accurately calibrate that part of the signal to the correct level during boundary optimization, so that the outermost layer and the inner layer maintain clear delay or intensity differences in the analysis. The surface detection data output after the above integration and correction can not only reflect the interaction between multi-layer coatings and complex curvatures in real environments, but also maintain the corrected stability at high mirrors and interference hotspots, thereby meeting the requirements for appearance and accuracy in high-end electronic watch surface detection.

[0126] The above describes the laser detection method for the surface accuracy of an electronic watch in an embodiment of the present invention. The following describes in detail the laser detection device for the surface accuracy of an electronic watch in an embodiment of the present invention.

[0127] Figure 2 2 is a schematic diagram of the structure of a laser detection device for the surface accuracy of an electronic watch provided by an embodiment of the present invention. The laser detection device 200 for the surface accuracy of an electronic watch may have relatively large differences due to different configurations or performances, and may include one or more processors (central processing units, CPU) 210 (for example, one or more processors) and a memory 220, and one or more storage media 230 (for example, one or more mass storage device terminals) storing application programs 233 or data 232. Among them, the memory 220 and the storage medium 230 may be short-term storage or permanent storage. The program stored in the storage medium 230 may include one or more modules (not shown in the figure), and each module may include a series of instruction operations in the laser detection device 200 for the surface accuracy of an electronic watch. Furthermore, the processor 210 may be configured to communicate with the storage medium 230, and execute a series of instruction operations in the storage medium 230 on the laser detection device 200 for the surface accuracy of an electronic watch to implement the steps of the laser detection method for the surface accuracy of an electronic watch described above.

[0128] The laser detection device 200 for detecting the surface accuracy of an electronic watch may further include one or more power supplies 240, one or more wired or wireless network interfaces 250, one or more input and output interfaces 260, and / or one or more operating systems 231, such as Windows Serve, Mac OS X, Unix, Linux, FreeBSD, etc. It will be appreciated by those skilled in the art that Figure 2 The structure of the laser detection device for the surface accuracy of an electronic watch shown does not constitute a limitation on the laser detection device for the surface accuracy of an electronic watch provided by the present invention, and may include more or fewer components than shown in the figure, or a combination of certain components, or a different arrangement of components.

[0129] The above description is only a preferred embodiment of the present invention, and does not limit the patent scope of the present invention. All equivalent structural changes made by using the contents of the present invention specification and drawings under the inventive concept of the present invention, or directly / indirectly applied in other related technical fields are included in the patent protection scope of the present invention.

Claims

1. A laser detection method for the surface accuracy of an electronic watch, characterized in that: include: The method comprises the following steps: obtaining optical characteristic parameters and geometric characteristic parameters of the surface of an electronic watch, dividing the surface into regions according to the optical characteristic parameters and geometric characteristic parameters, and obtaining a regional map and a regional attribute list, including: collecting reflected light intensity data of the interfaces of each layer in the multi-layer coating structure on the surface of the electronic watch, determining the optical change gradient at the junction of the coatings according to the difference in reflected light intensity between adjacent coating interfaces, and obtaining optical characteristic parameters; obtaining local morphological data of the bearing of the pointer of the electronic watch, the concave part of the crown, and the bending part of the lug, identifying the transition zone position of the micro-curved surface according to the local morphological data, and obtaining geometric characteristic parameters; performing layered analysis on the optical characteristic parameters to determine the reflection characteristics of each coating layer. and transmission ratio, obtain the optical partitioning data of the coating, mark the high specular reflection area and the coating thickness mutation area according to the optical partitioning data of the coating; perform curvature gradient analysis on the geometric characteristic parameters, identify the curvature mutation position and the microstructure dense area, and obtain geometric partitioning data; mark the curvature abrupt change area and the microstructure staggered area according to the geometric partitioning data; calculate the spatial overlap between the marked area of ​​the optical partitioning data of the coating and the marked area of ​​the geometric partitioning data, perform multiple reflection risk assessment on the overlapping area, generate a regional map, and grade and label each area according to the reflection characteristics and curvature characteristics of the overlapping area to obtain a regional attribute list; Determine the laser band combination and pulse frequency of each area according to the area map and the area attribute list, perform time-sharing laser excitation on each area according to a preset time window, obtain multi-spectral domain reflection signal data of the area, associate the multi-spectral domain reflection signal data with the area map and store them, and generate a multi-spectral domain data set; According to the regional attribute list and the multi-spectral domain data set, local temperature adjustment is performed on the high interference risk area, multi-spectral domain reflection signal data after temperature adjustment is obtained, and a temperature control data log is generated; Using the regional map, the multi-spectral domain data set and the temperature control data log, extracting scattering features of the reflection signal of each region, identifying interference peaks of the reflection signal according to the extracted scattering features, and generating an interference rejection mark list; The data fusion weight is determined according to the regional attribute list, and the reflection signals in the multi-spectral domain data set that have been screened by the interference elimination mark list are regionally fused according to the data fusion weight to generate surface detection data.

2. The laser detection method for the surface accuracy of an electronic watch according to claim 1, characterized in that: The method of determining the laser band combination and pulse frequency of each region according to the regional map and the regional attribute list, performing time-sharing laser excitation on each region according to a preset time window, acquiring multi-spectral domain reflection signal data of the region, associating the multi-spectral domain reflection signal data with the regional map and storing it, and generating a multi-spectral domain data set includes: According to the distribution positions of the high specular reflection area and the coating thickness mutation area in the regional map, a reflectivity reference threshold is determined to obtain the initial configuration parameters of the band; According to the hierarchical marking of the curvature abrupt change area and the microstructure interlaced area in the regional attribute list, the curvature compensation coefficient is determined, and the initial configuration parameters of the band are corrected to obtain the regional band combination data; Performing matching analysis on the energy density of each band in the regional band combination data and the reflectivity reference threshold, determining the minimum pulse interval of each region, and obtaining pulse frequency configuration data; Divide each region into time windows according to the pulse frequency configuration data, establish a band switching sequence, and obtain a time-sharing excitation sequence; Scanning the multi-layer coating structure on the surface of the electronic watch layer by layer according to the time-sharing excitation sequence to obtain reflection signal data of each coating interface, and performing layered analysis on the reflection signal data according to the optical properties of different coatings to obtain multi-spectral domain reflection signal data; The multi-spectral domain reflection signal data is annotated according to the regional division of the regional map, a regional association mapping table is established, and the multi-spectral domain reflection signal data and the regional association mapping table are integrated and stored to generate a multi-spectral domain data set.

3. The laser detection method for the surface accuracy of an electronic watch according to claim 2, characterized in that: The multi-layer coating structure on the surface of the electronic watch is scanned layer by layer according to the time-sharing excitation sequence to obtain reflection signal data of each coating interface, and the reflection signal data is analyzed layer by layer according to the optical properties of different coatings to obtain multi-spectral domain reflection signal data, including: Determine the scanning timing of each layer of coating according to the time-sharing excitation sequence, and perform progressive scanning from the outer layer to the inner layer of the electronic surface to obtain layer-by-layer scanning data; Performing time series correlation analysis on the reflection signals of adjacent coating interfaces in the layer-by-layer scanning data to determine the reflection time difference of each interface and obtain interface reflection delay data; According to the interface reflection delay data, the interface position with abnormal reflection time is screened out, and the reflection signal of the abnormal interface is repeatedly collected multiple times to obtain interface repeated collection data; Performing a time series comparison between the repeatedly collected interface data and the layer-by-layer scanning data, eliminating unstable reflection signals, and obtaining stable interface reflection signals; The stable interface reflection signal is hierarchically classified according to the optical properties of the anti-glare layer, the anti-scratch layer and the decorative coating layer to obtain multi-spectral domain reflection signal data.

4. The laser detection method for the surface accuracy of an electronic watch according to claim 1, characterized in that: The method of performing local temperature adjustment on the high interference risk area according to the area attribute list and the multi-spectral domain data set, obtaining multi-spectral domain reflection signal data after temperature adjustment, and generating a temperature control data log includes: Determine the temperature sensitive area according to the annotation information of each area in the area attribute list and the distribution of the reflected signal intensity in the multi-spectral domain data set, and obtain the temperature control target area data; Performing layered statistics on the reflection peak intensities of the anti-glare layer, the anti-scratch layer and the decorative coating layer in the temperature control target area data, determining the temperature fluctuation threshold of each layer, and obtaining inter-layer temperature control reference data; According to the interlayer temperature control reference data, the temperature gradient value between adjacent coatings is calculated, and the temperature of the temperature control target area is adjusted by partition to obtain local temperature adjustment data; Generating real-time temperature control reflection data according to the multi-layer interface reflection signal adjusted by the local temperature adjustment data collection; According to the change of the reflection signal of each coating in the real-time temperature control reflection data, the correlation characteristics between temperature and reflection intensity are recorded to generate a temperature control data log.

5. The laser detection method for the surface accuracy of an electronic watch according to claim 4, characterized in that: The step of performing layered statistics on the reflection peak intensities of the anti-glare layer, the anti-scratch layer and the decorative coating layer in the temperature control target area data, determining the temperature fluctuation threshold of each layer, and obtaining the inter-layer temperature control reference data includes: Extracting the reflection peak intensity sequences of the anti-glare layer, the anti-scratch layer and the decorative coating layer according to the temperature control target area data, performing time series decomposition on the reflection peak intensity sequences, and obtaining inter-layer reflection intensity data; Calculating the intensity ratio of adjacent coating reflection peaks in the interlayer reflection intensity data, marking the coating interface with abnormal intensity ratio, and obtaining interface abnormality marking data; According to the interface abnormality marking data, a temperature response test is performed on the marked coating interface to obtain interface temperature sensitivity data; Performing hierarchical clustering on the interface temperature sensitivity data, determining the temperature response characteristics of different coatings, and obtaining coating temperature characteristic data; The temperature fluctuation tolerance range of each coating layer is determined according to the coating temperature characteristic data, and inter-layer temperature control reference data is generated.

6. The laser detection method for the surface accuracy of an electronic watch according to claim 4, characterized in that: The method of calculating the temperature gradient value between adjacent coatings according to the interlayer temperature control reference data, performing zone temperature adjustment on the temperature control target area, and obtaining local temperature adjustment data includes: Obtain interlayer temperature control reference data of the pointer area, crown area and lug area, calculate the temperature gradient distribution in the vertical and horizontal directions according to the relative position relationship between the anti-glare layer and the anti-scratch layer, and the anti-scratch layer and the decorative coating layer, and obtain multi-dimensional temperature gradient data; Performing layered analysis on the vertical temperature gradient in the multi-dimensional temperature gradient data to identify the location of temperature mutation between layers, and performing regional analysis on the horizontal temperature gradient to identify the location of temperature mutation in the plane to obtain temperature gradient profile data; Adaptively partition the temperature control target area according to the temperature gradient profile data, divide the continuous temperature gradient area into a temperature coordination area, divide the temperature mutation position into a temperature transition area, and divide the temperature stable area into a temperature buffer area to obtain temperature function partition data; Based on the temperature function zoning data, the common adjustment parameters of the temperature coordination zone, the gradient adjustment parameters of the temperature transition zone and the stable adjustment parameters of the temperature buffer zone are calculated, the temperature compensation relationship between the zones is established, and the zone temperature mapping data is obtained; According to the partition temperature mapping data, the temperature coordination zone is controlled to achieve synchronous heating or cooling, the temperature transition zone is controlled to achieve gradual temperature adjustment, and the temperature buffer zone is controlled to achieve constant temperature maintenance, thereby generating local temperature adjustment data.

7. The laser detection method for the surface accuracy of an electronic watch according to claim 1, characterized in that: The method uses the regional map, the multi-spectral domain data set, and the temperature control data log to extract scattering features of the reflection signal of each region, identifies interference peaks of the reflection signal according to the extracted scattering features, and generates an interference rejection mark list, including: Performing temperature correction on the reflection signal in the multi-spectral domain data set according to the temperature control data log to eliminate the reflection intensity offset caused by temperature fluctuations, thereby obtaining temperature correction signal data; Performing regional mapping on the temperature correction signal data, extracting reflection signal features at the pointer bearing, the crown depression and the lug bend, and spatially matching the reflection signal features with the curvature abrupt change area and the microstructure interlaced area in the regional map to obtain scattering prone area data; Based on the scattering prone area data, the adjacent coating interface reflection signals in the temperature correction signal data are traversed layer by layer, the interface reflection intensity ratio and time delay difference are calculated, the abnormal reflection peak is identified, and the abnormal peak characteristic data is obtained; According to the abnormal peak characteristic data, the reflection signals at the interface between the anti-glare layer and the anti-scratch layer, and the interface between the anti-scratch layer and the decorative coating layer are decomposed in the time domain, the correlation and overlap of the interlayer reflection signals are calculated, the interference feature discrimination criterion is established, and the interference feature evaluation data is obtained; According to the interference feature evaluation data, the rotational overlapping interference at the pointer bearing, the concave and convex edge interference at the crown recess, and the surface scattering interference at the lug bend are marked to generate an interference rejection mark list.

8. The laser detection method for electronic watch surface accuracy according to claim 1, characterized in that: The step of determining the data fusion weight according to the regional attribute list, performing regional fusion on the reflection signals in the multi-spectral domain data set that have been screened by the interference rejection mark list according to the data fusion weight, and generating surface detection data includes: Initializing the weight of the graded labeling information of the electronic watch pointer bearing, the crown depression and the lug bend in the regional attribute list, determining the regional priority according to the positional relationship of the multi-layer coating structure, and obtaining the initial regional weight data; According to the interference removal mark list, the distribution density of rotation overlap interference, concave-convex edge interference and surface scattering interference in each area is calculated, and the initial data of the area weight is corrected to obtain weight compensation data; According to the weight compensation data, the reflected signals of the anti-glare layer, the anti-scratch layer and the decorative coating layer after being removed are weighted in layers, the signal fusion coefficient of each coating interface is determined, and the inter-layer weight distribution data is obtained; Performing regional feature fusion on the inter-layer weight distribution data, grouping and clustering the removed reflection signals at the pointer bearing, the crown depression and the lug bend according to regional similarity, and obtaining regional feature clustering data; According to the regional feature clustering data, the reflection signals of the continuous curved surface area are smoothly transitioned, the reflection signals of the microstructure dense area are locally enhanced, and the reflection signals of the curvature steep change area are boundary optimized to generate surface detection data.

9. A laser detection device for the surface accuracy of an electronic watch, characterized in that: The laser detection device for the surface accuracy of an electronic watch comprises: a memory and at least one processor, wherein instructions are stored in the memory; The at least one processor calls the instructions in the memory to enable the laser detection device for the surface accuracy of an electronic watch to perform the steps of the laser detection method for the surface accuracy of an electronic watch as described in any one of claims 1 to 8.

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