Process intelligent design method and system for realizing jade carving processing

Abstract

The invention relates to the technical field of jade carving processing, and discloses a process intelligent design method and system for realizing jade carving processing, and the method comprises the steps: recognizing a texture deviation mode of a to-be-processed jade material through building a material parameter matrix of the to-be-processed jade material; according to the texture deviation mode and a preset pattern design template, determining an internal defect area of the to-be-processed jade material in the engraving process; monitoring the dynamic processing state of the to-be-processed jade material in the self-adaptive engraving path in real time so as to construct an optimal process parameter set of the to-be-processed jade material; generating a dynamic correction instruction of the optimal process parameter set by utilizing the processing error deviation degree of the to-be-processed jade material; and in combination with the texture deviation mode, the optimal process parameter set and the dynamic correction instruction, outputting a process intelligent scheme of the to-be-processed jade material. According to the method, the internal texture and material difference of the jade material can be accurately analyzed, and the process precision of the jade carving work is improved.

Description

Technical Field

[0001] This invention relates to a method and system for intelligent design of jade carving processes, belonging to the field of jade carving technology. Background Technology

[0002] Intelligent technology in jade carving refers to a technical solution that systematically upgrades and transforms key steps in the traditional jade carving process by combining digital technology, artificial intelligence, and automated equipment. In the jade carving process, the design scheme needs to be accurately adapted to the material characteristics and texture distribution of the jade. If the design is improper or the parameters are set unreasonably, it may lead to problems such as jade breakage, blurred patterns, and distorted shapes, affecting the craftsmanship precision of the jade carving.

[0003] Traditional jade carving techniques typically rely on two-dimensional CNC systems, using G-code programming to pre-set standardized tool paths and fixed pattern templates to mechanically process jade materials. While this method can achieve batch carving of jade materials with simple geometric shapes, simply applying fixed pattern templates cannot accurately analyze the internal texture and material differences of the jade material, easily leading to insufficient craftsmanship precision in jade carvings. Therefore, an intelligent design method for jade carving processes is needed to accurately analyze the internal texture and material differences of jade materials and improve the craftsmanship precision of jade carvings. Summary of the Invention

[0004] This invention provides a method and system for intelligent design of jade carving processes. Its main purpose is to accurately analyze the internal texture and material differences of jade materials and improve the craftsmanship precision of jade carving works.

[0005] To achieve the above objectives, the present invention provides a method for intelligent design of jade carving processes, comprising: The internal spectral feature map and surface micro-defect image of the jade material to be processed are obtained to establish the material parameter matrix of the jade material to be processed; Based on the material parameter matrix, the texture deviation pattern of the jade material to be processed is identified, and the internal defect area of ​​the jade material to be processed during the carving process is determined according to the texture deviation pattern and the preset pattern design template. Based on the internal defect area, an adaptive carving path is planned for the jade material to be processed, and the dynamic processing status of the jade material to be processed in the adaptive carving path is monitored in real time. Based on the dynamic processing state, an optimal set of process parameters for the jade material to be processed is constructed. Combined with the preset pattern design template, the processing error deviation of the jade material to be processed is calculated. Based on the processing error deviation, a dynamic correction instruction for the optimal set of process parameters is generated. By combining the texture deviation mode, the optimal process parameter set, and the dynamic correction command, an intelligent process scheme for the jade material to be processed is output.

[0006] Optionally, determining the internal defect area of ​​the jade material to be processed during the carving process based on the texture deviation pattern and the preset pattern design template includes: The frequency of occurrence of the texture deviation patterns is counted, and high-frequency texture deviation types are filtered out based on the frequency of occurrence. Identify the deviation location corresponding to the high-frequency texture deviation type, and obtain the three-dimensional scan data of the deviation location; Perform spatial matching processing between the three-dimensional scan data and the preset pattern design template to obtain the spatial matching result; Based on the spatial matching results, the difference areas between the three-dimensional scan data and the preset pattern design template are identified; Based on the difference region, retrieve the geological genesis data corresponding to the jade material to be processed; Analyze the intrinsic relationship between the geological genetic data and the texture deviation pattern; Based on the aforementioned intrinsic connections, the key geological influencing factors and formation environment parameters corresponding to the texture deviation pattern were identified; By using the key geological influencing factors and the formation environment parameters, the internal defect area of ​​the jade material to be processed during the carving process is determined.

[0007] Optionally, the step of planning an adaptive carving path for the jade material to be processed based on the internal defect area includes: Extract the core defect area and the affected defect area of ​​the jade material to be processed from the internal defect area; Determine the potential crack propagation direction corresponding to the defect core area and the defect influence area; Identify the set of defect coordinates corresponding to the internal defect area to construct the defect spacing matrix of the jade material to be processed; The processing sensitivity of the defect core area and the defect influence area were measured respectively. Based on the potential crack propagation direction, analyze the processing risk coefficients corresponding to the defect core area and the defect influence area; By combining the defect spacing matrix, the processing sensitivity, and the processing risk coefficient, the processing feature vector of the jade material to be processed is extracted; Based on the processing feature vector, a dynamic path generation rule for the jade material to be processed is established; Based on the dynamic path generation rules, an adaptive carving path is planned for the jade material to be processed.

[0008] Optionally, the step of extracting the processing feature vector of the jade material to be processed by combining the defect spacing matrix, the processing sensitivity, and the processing risk coefficient includes: Extract the key distance features from the defect spacing matrix, and parse out the minimum spacing value, maximum spacing value, and distribution dispersion of the key distance features; Based on the minimum spacing value, the maximum spacing value, and the distribution dispersion, establish the association rule between the defect spacing matrix and the processing sensitivity; Divide the feature extraction dimensions corresponding to the association rules; Calculate the response rate of the processing sensitivity under different engraving parameters, and use the processing risk coefficient to determine the risk correlation degree of the processing sensitivity; The feature weight factor in the feature extraction dimension is calculated using the response rate, the risk correlation degree, and the distribution dispersion. Based on the aforementioned feature weighting factors, the processing feature vector of the jade material to be processed is extracted.

[0009] Optionally, the step of calculating the processing error deviation of the jade material to be processed based on the dynamic processing state and in conjunction with the preset pattern design template includes: Based on the preset pattern design template, the carving area of ​​the jade material to be processed in the dynamic processing state is determined; Analyze the feature relationship between the engraved area and the preset pattern design template; Based on the aforementioned feature association, the actual processing parameter values ​​for each carving position in the carving area and the standard processing parameter values ​​for the corresponding positions in the preset pattern design template are obtained. Extract the parameter fluctuation vector of the jade material to be processed during the carving process; Based on the actual processing parameter values, the standard processing parameter values, the region-pattern adaptation coefficient, and the parameter fluctuation vector, the processing error deviation of the jade material to be processed is calculated using the following formula: ; in, This indicates the deviation of the processing error of the jade material to be processed. Represents the normalization coefficient. This represents the weight coefficient of the k-th carving position in the jade material to be processed. Indicates the jade material to be processed Actual processing parameter values, Indicates the jade material to be processed Standard machining parameter values, Indicates the reference value of the parameter. Indicates the region-pattern adaptation coefficient. This represents the adaptation coefficient correction index. This indicates the index of the carving position in the jade material to be processed. This indicates the total number of carving positions in the jade material to be processed. This represents the parameter fluctuation vector.

[0010] Optionally, constructing the optimal set of process parameters for the jade material to be processed based on the dynamic processing state includes: Simultaneously acquire the processing status data corresponding to the dynamic processing state and the material characteristic data of the jade material to be processed; Key processing response indicators are extracted from the processing status data to determine the feasible range of process parameters for the jade material to be processed. The differential material attributes in the material feature data are analyzed to generate the material adaptation coefficients of the feasible domain of the process parameters; Based on the feasible domain of the process parameters and the material adaptation coefficient, define the process parameter coordination rules for the jade material to be processed; Based on the aforementioned process parameter coordination rules, the process parameters of the jade material to be processed are combined and optimized to obtain the optimal set of process parameters.

[0011] Optionally, the step of acquiring the internal spectral feature map and surface micro-defect image of the jade material to be processed to establish the material parameter matrix of the jade material to be processed includes: Based on the internal spectral feature map, the mineral types, distribution density, and structural layers of the jade material to be processed are identified; The crack parameters, impurity properties, and texture features of the jade material to be processed are extracted from the surface micro-defect image. The material uniformity index of the jade material to be processed is determined based on the mineral types and distribution density. Using the texture direction index in the structural hierarchy and the material uniformity index, the basic texture score of the jade material to be processed is output. Collect geological environment data of the vein where the jade material to be processed is located, and combine the crack parameters and the geological environment data to calculate the defect diffusion risk coefficient of the jade material to be processed. Based on the impurity properties and texture features, the process adaptation deviation rate of the jade material to be processed is identified; The dynamic processing difficulty coefficient of the jade material to be processed is calculated based on the defect diffusion risk coefficient and the process adaptation deviation rate. By combining the basic texture score, the dynamic processing difficulty coefficient, and the material uniformity index, a material parameter matrix is ​​established for the jade material to be processed.

[0012] Optionally, identifying the texture deviation pattern of the jade material to be processed based on the material parameter matrix includes: Based on the material parameter matrix, locate the regions of abrupt changes in structural parameters within the jade material to be processed; Identify the geological diagenetic stages and mineralization environment parameters corresponding to the regions of abrupt changes in the structural parameters; Calculate the ratio of parameter fluctuation amplitude and distribution similarity index between the structural parameter mutation region and the preset benchmark region; The diffusion characteristics of the structural parameter abrupt change region are determined based on the parameter fluctuation amplitude ratio and the distribution similarity index. By combining the diffusion characteristics, the geological diagenetic stage, and the mineralization environment parameters, the texture deviation pattern of the jade material to be processed is identified.

[0013] Optionally, the step of generating the dynamic correction instruction for the optimal process parameter set based on the machining error deviation includes: Retrieve the pattern design template corresponding to the optimal process parameter set; Based on the precision requirements of the pattern design template and the jade carving process standards, identify the deviation correction type corresponding to the optimal process parameter set, and set the graded threshold range corresponding to the processing error deviation. Based on the grading threshold range, the process adjustment level corresponding to the processing error deviation is divided; By combining the deviation correction type, the graded threshold range, and the process adjustment level, the parameter correction direction of the optimal process parameter set is determined; Based on the processing error deviation and the grading threshold range, set the parameter adjustment gradient corresponding to the parameter correction direction; Based on the parameter adjustment gradient, identify the parameter collaborative correction relationship of the optimal process parameter set; Based on the parameter collaborative correction relationship, a dynamic correction instruction for the optimal process parameter set is generated.

[0014] To address the aforementioned problems, the present invention also provides an intelligent design system for jade carving processes, the system comprising: The material analysis module is used to obtain the internal spectral feature map and surface micro-defect image of the jade material to be processed, so as to establish the material parameter matrix of the jade material to be processed; The defect location module is used to identify the texture deviation pattern of the jade material to be processed based on the material parameter matrix, and to determine the internal defect area of ​​the jade material to be processed during the carving process according to the texture deviation pattern and the preset pattern design template. The path planning module is used to plan an adaptive carving path for the jade material to be processed based on the internal defect area, and to monitor the dynamic processing status of the jade material to be processed in the adaptive carving path in real time. The parameter correction module is used to construct the optimal set of process parameters for the jade material to be processed based on the dynamic processing state, and calculate the processing error deviation of the jade material to be processed in combination with the preset pattern design template, and generate dynamic correction instructions for the optimal set of process parameters based on the processing error deviation. The scheme generation module is used to combine the texture deviation mode, the optimal process parameter set, and the dynamic correction instruction to output an intelligent process scheme for the jade material to be processed.

[0015] Compared to the problems described in the background art, the embodiments of the present invention, by acquiring the internal spectral feature map and surface micro-defect image of the jade material to be processed, establish a material parameter matrix for the jade material to be processed. This allows for precise determination of the optimal carving direction, appropriate carving force, and defect areas to be avoided. Furthermore, by identifying the texture deviation pattern of the jade material to be processed based on the material parameter matrix, the embodiments of the present invention ensure the accuracy of jade material characteristic analysis and the adaptability of dynamic optimization of carving schemes in the intelligent design of jade carving processes. The embodiments of the present invention, by determining the internal defect areas of the jade material to be processed during the carving process based on the texture deviation pattern and a preset pattern design template, can improve the precision of defect avoidance in jade carving. Regarding accuracy and precision, this invention enhances the intelligent design capabilities of the process to adapt to and control the natural characteristics of jade materials. Furthermore, by planning an adaptive carving path for the jade material to be processed based on the internal defect areas, the carving trajectory can be dynamically adjusted according to the internal defect areas, improving the carving precision of jade carving equipment on complex jade structures and enhancing the utilization rate of raw materials and the stability of finished product quality during jade carving. By monitoring the dynamic processing status of the jade material to be processed in the adaptive carving path in real time, this invention can accurately capture real-time changes in the jade material during carving, promptly identify shortcomings in the adaptive path in dealing with sudden defects and material differences, and optimize parameter matching during the carving process through real-time feedback and dynamic path adjustment. Furthermore, this embodiment of the invention constructs an optimal set of process parameters for the jade material to be processed based on the dynamic processing state. This deeply integrates the real-time monitored processing state data with the adaptation rules of process parameters, forming a parameter system that better suits the characteristics of the jade material and the carving requirements, thereby improving the stability and adaptability of the jade carving process. This embodiment of the invention also calculates the processing error deviation of the jade material based on the dynamic processing state and in conjunction with the preset pattern design template. This improves the pattern reproduction accuracy and process adaptability of the jade carving process, and enhances the collaborative processing capability of the jade carving equipment for complex pattern designs and dynamic changes in the jade material. Furthermore, this embodiment of the invention generates... The dynamic correction instructions of the optimal process parameter set can dynamically quantify the real-time matching status between the carving parameter adjustment and the preset pattern accuracy requirements, thereby improving the accuracy and stability of the optimal process parameter set under dynamic changes in jade material and complex pattern processing. Finally, by combining the texture deviation mode, the optimal process parameter set, and the dynamic correction instructions, this embodiment of the invention outputs an intelligent process scheme for the jade material to be processed. This not only significantly improves the texture restoration accuracy of jade carving, allowing the carving process to adapt to the natural texture characteristics of the jade material in real time, but also dynamically adjusts the combination, correction magnitude, and timing of process parameters according to the dynamic processing status of the jade material and the preset pattern design requirements, thereby effectively enhancing the adaptability and accuracy of jade carving.Therefore, the intelligent design method and system for jade carving provided in this embodiment of the invention can accurately analyze the internal texture and material differences of jade materials, thereby improving the craftsmanship precision of jade carving works. Attached Figure Description

[0016] Figure 1 This is a flowchart illustrating an intelligent design method for jade carving processes, provided as an embodiment of the present invention. Figure 2 An ultrasonic signal image of defects in jade material to be processed, provided in an embodiment of the present invention, for realizing intelligent process design in jade carving; Figure 3 This is a schematic diagram of a module for implementing an intelligent design system for jade carving, provided as an embodiment of the present invention.

[0017] The objectives, features, and advantages of this invention will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation

[0018] It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.

[0019] This application provides a method for intelligent design of jade carving processes. The executing entity of this method includes, but is not limited to, at least one of the following electronic devices that can be configured to execute the method provided in this application: a server, a terminal, etc. In other words, the method for intelligent design of jade carving processes can be executed by software or hardware installed on a terminal device or a server device. The server includes, but is not limited to, a single server, a server cluster, a cloud server, or a cloud server cluster.

[0020] Reference Figure 1 The diagram shown is a flowchart illustrating an intelligent process design method for jade carving according to an embodiment of the present invention. In this embodiment, the intelligent process design method for jade carving includes: S1. Obtain the internal spectral feature map and surface micro-defect image of the jade material to be processed, so as to establish the material parameter matrix of the jade material to be processed.

[0021] This invention, through acquiring internal spectral feature maps and surface micro-defect images of the jade material to be processed, establishes a material parameter matrix for the jade material. This allows for precise determination of the optimal carving direction, appropriate carving force, and defect areas to be avoided. The jade material to be processed refers to raw jade material that has not yet undergone carving, polishing, or other processing. The internal spectral feature map refers to an image generated after scanning the interior of the jade material using detection technologies such as infrared spectroscopy and X-ray fluorescence spectroscopy. The surface micro-defect images refer to images taken using scanning electron microscopes, optical microscopes, or other equipment, recording details such as cracks (e.g., length, depth, direction), surface impurities (e.g., size, composition, distribution location), and naturally formed textures (e.g., texture coarseness, continuity, distribution pattern). The material parameter matrix is ​​a multi-dimensional data matrix formed by orderly integrating the key internal information of the jade material extracted from the internal spectral feature map with the surface feature data obtained from the surface micro-defect images, according to a preset logical structure and data format.

[0022] As an embodiment of the present invention, the step of acquiring the internal spectral feature map and surface micro-defect image of the jade material to be processed, in order to establish the material parameter matrix of the jade material to be processed, includes: Based on the internal spectral feature map, the mineral types, distribution density, and structural layers of the jade material to be processed are identified; The crack parameters, impurity properties, and texture features of the jade material to be processed are extracted from the surface micro-defect image. The material uniformity index of the jade material to be processed is determined based on the mineral types and distribution density. Using the texture direction index in the structural hierarchy and the material uniformity index, the basic texture score of the jade material to be processed is output. Collect geological environment data of the vein where the jade material to be processed is located, and combine the crack parameters and the geological environment data to calculate the defect diffusion risk coefficient of the jade material to be processed. Based on the impurity properties and texture features, the process adaptation deviation rate of the jade material to be processed is identified; The dynamic processing difficulty coefficient of the jade material to be processed is calculated based on the defect diffusion risk coefficient and the process adaptation deviation rate. By combining the basic texture score, the dynamic processing difficulty coefficient, and the material uniformity index, a material parameter matrix is ​​established for the jade material to be processed.

[0023] The mineral types refer to the specific categories of natural minerals with specific chemical compositions and crystal structures contained within the jade material to be processed, such as tremolite in Hetian jade and jadeite in jadeite. The distribution density refers to the content or frequency of a certain type of mineral per unit volume of the jade material to be processed; for example, tremolite accounts for 80% of 1 cubic centimeter of jade material. The distribution density can be determined by calculating the ratio of the target mineral region volume to the total volume of the jade material. The structural hierarchy refers to the hierarchical distribution of layers, bands, or textures formed by geological processes during the formation of the minerals within the jade material to be processed. For example, the alternating distribution of white bands and green main layers in jade material can be identified using the U-Net semantic segmentation model in deep learning to classify the internal spectral feature maps and output the boundaries and distribution range of the structural hierarchy. The crack parameters... This refers to the quantitative indicators describing the geometric characteristics and distribution of microcracks on the surface of the jade material to be processed, including crack length, depth, width, direction, and density. The impurity attributes refer to the characteristics of non-target minerals or foreign matter contained on and inside the surface of the jade material to be processed, including the chemical composition, size, shape, and distribution location of the impurities. For example, there may be iron impurities with a diameter of 0.5 mm on the surface of the jade material. The texture characteristics refer to the morphology and distribution characteristics of naturally formed patterns on and inside the surface of the jade material to be processed, including the texture's coarseness, continuity, curvature, and distribution density. Gray-level co-occurrence matrix can be used to extract texture parameters such as coarseness and continuity. The material uniformity index is a quantitative indicator used to measure the uniformity of mineral distribution within the jade material to be processed. Its value range is typically 0-1, with values ​​closer to 1 indicating higher uniformity. For example, the material uniformity index of a certain jade material is 0.The value of 85 indicates that the mineral distribution is relatively uniform. The formula for calculating the uniformity index is: Uniformity Index = 1 - (Standard Deviation / Average Distribution Density). The texture direction index is a quantitative parameter used to describe the direction of texture extension inside the jade material to be processed. It is usually expressed as the angle (0°-180°) with the horizontal direction. For example, a texture direction index of 60° indicates that the texture mainly extends along the 60° direction. The texture direction index can be determined by applying Radon transform to the texture area in the internal spectral feature map and detecting the peak position in the transform result to determine the main direction angle of the texture. The basic texture score refers to a quantitative evaluation of the quality of the jade material's basic texture by comprehensively considering the texture direction index and material uniformity index within the structural layers of the jade material to be processed. The score range is typically 0-100 points, with higher scores indicating better texture. For example, a jade material with a basic texture score of 80 points indicates excellent texture. The vein refers to a rock aggregate containing the jade material to be processed, formed under geological processes; it is the original production site of the jade material. The geological environment data refers to the geological conditions parameters at the time of formation of the vein to which the jade material belongs, including formation temperature, pressure, intensity of geological tectonic movement, and surrounding rock types. For example, a certain vein... The formation temperature is 300-400℃, and the pressure is 50-100MPa. The defect propagation risk coefficient is a quantitative indicator that measures the likelihood of cracks on the surface of the jade material being processed expanding during subsequent processing. Its value ranges from 0 to 1, with a higher value indicating a higher risk. For example, a defect propagation risk coefficient of 0.3 indicates a low risk of crack propagation. The formula for calculating the defect propagation risk coefficient is: Defect Propagation Risk Coefficient = Crack Depth × Weight + Crack Length × Weight + Geological Tectonic Movement Intensity × Weight (all parameters are normalized). The process adaptation deviation rate... The dynamic processing difficulty coefficient refers to the degree of deviation between the impurity attributes and texture characteristics of the jade material to be processed and the preset jade carving processing requirements. The value ranges from 0 to 1; a larger value indicates a greater deviation and less suitability for the process. For example, a jade material with a compatibility deviation rate of 0.2 for relief carving indicates relatively good suitability for the process. The dynamic processing difficulty coefficient is a value obtained by dynamically and quantitatively evaluating the processing difficulty of the jade material based on both the defect diffusion risk coefficient and the process compatibility deviation rate. The value ranges from 0 to 1; a larger value indicates higher processing difficulty. For example, a jade material with a dynamic processing difficulty coefficient of 0.6 indicates moderate processing difficulty.

[0024] Optionally, the structural hierarchy of the jade material to be processed can be identified using the U-Net semantic segmentation model in deep learning; the crack parameters of the jade material to be processed can be extracted using the Canny edge detection algorithm.

[0025] To accurately obtain information on internal and surface defects of the jade material to be processed in order to establish a material parameter matrix, please refer to... Figure 2As shown in the figure, an ultrasonic signal image of defects in jade material to be processed is provided in an embodiment of the present invention for realizing intelligent design of jade carving process. As shown in the figure, the horizontal axis is time (μs) and the vertical axis is sound pressure (Pa). By presenting the sound pressure fluctuation of different types of signals such as water line signals, crack signals, and amplitude signals over time, it helps to identify features such as surface waves and bottom echoes. It provides cross-dimensional verification data for links such as "crack parameter extraction - defect propagation risk calculation" and "texture feature recognition - process adaptation deviation rate analysis". For example, the sound pressure fluctuation frequency of ultrasonic signals can be used to verify the "mechanical rationality" of crack direction in surface micro-defect images, or the mineral distribution of the spectrum can be combined to explain the "compositional causes" of ultrasonic signal anomalies.

[0026] S2. Based on the material parameter matrix, identify the texture deviation pattern of the jade material to be processed, and determine the internal defect area of ​​the jade material to be processed during the carving process according to the texture deviation pattern and the preset pattern design template.

[0027] This invention, through the identification of texture deviation patterns of the jade material to be processed based on the material parameter matrix, can ensure the accuracy of jade material characteristic analysis and the adaptability of dynamic optimization of carving scheme in the intelligent design of jade carving process. The texture deviation pattern refers to the typical types and rules of deviation between the actual texture of the jade material to be processed and the standard texture as analyzed by the material parameter matrix, such as sudden changes in direction, continuous breaks, and sharp increases in density.

[0028] As an embodiment of the present invention, identifying the texture deviation pattern of the jade material to be processed based on the material parameter matrix includes: Based on the material parameter matrix, locate the regions of abrupt changes in structural parameters within the jade material to be processed; Identify the geological diagenetic stages and mineralization environment parameters corresponding to the regions of abrupt changes in the structural parameters; Calculate the ratio of parameter fluctuation amplitude and distribution similarity index between the structural parameter mutation region and the preset benchmark region; The diffusion characteristics of the structural parameter abrupt change region are determined based on the parameter fluctuation amplitude ratio and the distribution similarity index. By combining the diffusion characteristics, the geological diagenetic stage, and the mineralization environment parameters, the texture deviation pattern of the jade material to be processed is identified.

[0029] The structural parameter abrupt change region refers to a microscopic region within the jade material to be processed where significant nonlinear changes occur due to mineral composition, crystal structure, or defect distribution. For example, in a certain Hetian jade material, the density of a local region changes from 2.95 g / cm³. 3 It surged to 3.2 g / cm³ 3 Furthermore, this change occurred within a 1mm range, far exceeding the 0.02g / cm² change in the surrounding area.3 If the normal fluctuation range is within a certain range, then the region is considered a region of abrupt structural parameter changes. The geological diagenetic stage refers to the geological evolution stage during the formation of jade material, mainly divided into specific stages such as magmatic, metamorphic, and sedimentary stages based on characteristics such as diagenetic temperature, pressure, mineral assemblage, and isotopic age. For example, the geological diagenetic stage of jadeite can be divided into the magmatic intrusion stage (initial crystallization of jadeite minerals), the regional metamorphic stage (recrystallization of jadeite crystals), and the surface alteration stage (later weathering and modification). The mineralization environment parameters refer to the set of key environmental factors affecting the structure and composition of jade material during its formation, including quantifiable parameters such as mineralization temperature, mineralization pressure, fluid salinity, oxygen fugacity, and surrounding rock composition. The preset benchmark region refers to a reference region selected from the jade material to be processed, characterized by stable material parameters and no obvious structural defects. For example, in a piece of jadeite raw material, a region with no cracks at the edges and uniform color can be selected as the preset benchmark region, with a stable density of 3.33 g / cm³. 3 The crystals are aligned in the same direction to serve as a standard for comparison with regions of abrupt changes in internal structural parameters; the parameter fluctuation amplitude ratio refers to the ratio of the maximum fluctuation amplitude of the parameter in the abrupt change region to the average fluctuation amplitude of the parameter in the preset reference region, used to quantify the degree of difference in parameter fluctuation between the two, and the calculation formula is: Parameter fluctuation amplitude ratio = (maximum parameter value in the abrupt change region - minimum parameter value in the abrupt change region) / (average parameter value in the reference region × fluctuation coefficient in the reference region); the distribution similarity index is a quantitative index used to measure the similarity of the parameter distribution morphology between the abrupt change region and the preset reference region, and the value range is [ [0,1], where 0 represents complete dissimilarity and 1 represents complete similarity, is calculated using the cross-entropy or Bach distance of the probability density function; the diffusion characteristics refer to the propagation features of parameter anomalies in structural parameter mutation regions within the jade material, including diffusion direction, diffusion rate, diffusion range, and diffusion attenuation law. For example, the density anomaly in a certain structural parameter mutation region diffuses along the stratification direction of the jade material at a diffusion rate of 2mm / mm (the anomaly range expands by 2mm for every 1mm of penetration into the stratification direction). After the diffusion range reaches 5mm, the parameter anomaly attenuates to 10% of the baseline value. Its diffusion characteristics are characterized by strong directionality and rapid attenuation.

[0030] Optionally, the structural parameter abrupt change regions inside the jade material to be processed can be determined using a multi-scale singular value decomposition algorithm; the mineralization environment parameters corresponding to the structural parameter abrupt change regions can be identified by a thermodynamic phase equilibrium model, such as the THERMOCALC model; and the diffusion characteristics of the structural parameter abrupt change regions can be obtained by finite element analysis software, such as ANSYS software.

[0031] Furthermore, this embodiment of the invention, by determining the internal defect area of ​​the jade material to be processed during the carving process based on the texture deviation pattern and the preset pattern design template, can improve the targeting and accuracy of defect avoidance in jade carving, and enhance the ability of intelligent process design to adapt to and control the natural characteristics of jade. The preset pattern design template refers to a standardized pattern scheme preset for the jade material to be processed to guide the carving process, including core elements such as carving theme, pattern layout, shape details and process parameters, which is the benchmark framework for defining the finished product form and processing target in intelligent jade carving design. The internal defect area refers to the hidden flaw area existing inside the jade material to be processed that is prone to causing the jade material to break during the carving process, affecting the quality of the finished product or destroying the integrity of the pattern.

[0032] As an embodiment of the present invention, determining the internal defect area of ​​the jade material to be processed during the carving process based on the texture deviation pattern and the preset pattern design template includes: The frequency of occurrence of the texture deviation patterns is counted, and high-frequency texture deviation types are filtered out based on the frequency of occurrence. Identify the deviation location corresponding to the high-frequency texture deviation type, and obtain the three-dimensional scan data of the deviation location; Perform spatial matching processing between the three-dimensional scan data and the preset pattern design template to obtain the spatial matching result; Based on the spatial matching results, the difference areas between the three-dimensional scan data and the preset pattern design template are identified; Based on the difference region, retrieve the geological genesis data corresponding to the jade material to be processed; Analyze the intrinsic relationship between the geological genetic data and the texture deviation pattern; Based on the aforementioned intrinsic connections, the key geological influencing factors and formation environment parameters corresponding to the texture deviation pattern were identified; By using the key geological influencing factors and the formation environment parameters, the internal defect area of ​​the jade material to be processed during the carving process is determined.

[0033] The frequency of occurrence refers to the number of times a certain texture deviation pattern appears during texture analysis of a specific number of jade pieces to be processed. For example, if 100 pieces of jade are analyzed and the texture deviation pattern of "curved texture deviating from a preset straight line by more than 10 degrees" appears in 15 pieces, then the frequency of occurrence of this texture deviation pattern is 15 times. The high-frequency texture deviation type refers to the category of texture deviation patterns that are in the higher frequency range after being sorted according to the frequency of occurrence. Assuming a frequency threshold of 10 times is set, the "texture breakage" pattern appears 18 times among the various texture deviation patterns analyzed. The pattern "texture distortion angle greater than 30 degrees" appeared 12 times, therefore these two texture deviation patterns belong to the high-frequency texture deviation type; the deviation location refers to the specific spatial location corresponding to the high-frequency texture deviation type on or inside the surface of the jade to be processed; the three-dimensional scan data refers to the three-dimensional spatial information data about the surface or internal structure of the jade to be processed obtained after scanning the jade with a laser three-dimensional scanner. This data is presented in the form of point clouds, triangular meshes, etc., and each data point contains its coordinates (X, Y, Z) in three-dimensional space; the spatial matching processing refers to the processing of the acquired three-dimensional scan data... The process involves comparing, aligning, and matching the scanning data with the preset pattern design template in three-dimensional space. The difference area refers to the region formed by the non-overlapping parts of the three-dimensional scanning data and the preset pattern design template in space after spatial matching processing. The geological genetic data refers to geological information data related to the formation process of the jade material to be processed, including the geological structural environment (such as plate movement, fault activity, etc.), rock type, mineral composition, mineralization conditions (temperature, pressure, fluid composition, etc.), and various geological events in geological history. The intrinsic relationship refers to the causal relationship or mutual influence between the geological genetic data and the texture deviation pattern. The key geological influencing factors refer to the factors that have a decisive or significant impact on the formation of the texture deviation pattern and the internal defects of the jade material among the many factors included in the geological genetic data. For example, for some jade, the temperature and pressure variation range during its formation is a key geological influencing factor affecting the uniformity of the texture and the density of the internal structure. The formation environment parameters refer to the specific quantitative parameters describing the environment in which the jade material was formed, including temperature, pressure, pH value, redox potential (Eh), fluid flow rate, and composition.

[0034] Optionally, the deviation position corresponding to the high-frequency texture deviation type can be identified using a feature point matching algorithm; the spatial matching processing between the three-dimensional scan data and the preset pattern design template can be achieved through the Iterative Closest Point (ICP) algorithm.

[0035] S3. Based on the internal defect area, plan an adaptive carving path for the jade material to be processed, and monitor the dynamic processing status of the jade material to be processed in the adaptive carving path in real time.

[0036] This invention, through its embodiments, plans an adaptive carving path for the jade material to be processed based on the internal defect area. This allows for dynamic adjustment of the carving trajectory according to the internal defect area, improving the carving accuracy of jade carving equipment for complex jade structures and enhancing the utilization rate of raw materials and the stability of finished product quality during jade carving. The adaptive carving path refers to a carving trajectory that is dynamically generated based on real-time detection data of internal defects in the jade material and can be adjusted in real time according to the actual internal structural characteristics of the jade material (especially the distribution of defects).

[0037] As an embodiment of the present invention, the step of planning an adaptive carving path for the jade material to be processed based on the internal defect area includes: Extract the core defect area and the affected defect area of ​​the jade material to be processed from the internal defect area; Determine the potential crack propagation direction corresponding to the defect core area and the defect influence area; Identify the set of defect coordinates corresponding to the internal defect area to construct the defect spacing matrix of the jade material to be processed; The processing sensitivity of the defect core area and the defect influence area were measured respectively. Based on the potential crack propagation direction, analyze the processing risk coefficients corresponding to the defect core area and the defect influence area; By combining the defect spacing matrix, the processing sensitivity, and the processing risk coefficient, the processing feature vector of the jade material to be processed is extracted; Based on the processing feature vector, a dynamic path generation rule for the jade material to be processed is established; Based on the dynamic path generation rules, an adaptive carving path is planned for the jade material to be processed.

[0038] The defect core area refers to the region where defects are highly concentrated and relatively stable within the jade material to be processed. For example, a large area of ​​flocculent asbestos in a piece of Hetian jade raw material, with high asbestos content and dense distribution, severely affects the transparency and texture uniformity of the jade; this area is the defect core area. The defect-affected area refers to the surrounding area whose physical properties change to a certain extent due to the indirect influence of the defect core area. The potential crack propagation direction refers to the direction in which existing cracks or defects within the jade material are likely to extend and expand further under the influence of carving forces. For example, for an inclined crack, the tangential force applied during carving will cause it to extend perpendicular to the crack surface and along the direction of maximum principal stress. The direction of potential crack propagation has a high potential for expansion; the defect coordinate set refers to a set of records of the position coordinates of each defect inside the jade material in three-dimensional space; the defect spacing matrix refers to a two-dimensional matrix used to describe the spatial distance relationship between each defect inside the jade material. The defect spacing matrix can be constructed and calculated using the NumPy library in Python. The specific steps are: first, store the defect coordinate set as a NumPy array; then, use NumPy's broadcast mechanism and mathematical functions to quickly calculate the distance between all defect pairs and generate the defect spacing matrix; the processing sensitivity refers to the measure of the impact of various processing steps on the core area and the affected area of ​​the defect during the carving process. The sensitivity index to changes in processing parameters reflects the likelihood of damage, crack propagation, and surface quality deterioration in jade materials within a given area when subjected to different carving forces, tool rotation speeds, feed rates, and other parameters. The processing risk coefficient is an index that quantifies the degree of risk that may occur during carving in a defective area, taking into account the potential crack propagation direction, processing sensitivity, and other relevant factors (such as defect severity and jade value). The processing feature vector is a vector composed of multiple feature values ​​related to jade processing; each element in the vector corresponds to a specific processing feature, such as a feature in the defect spacing matrix. The dynamic path generation rules refer to a series of rules and criteria for judging the rationality of the carving path and determining the optimal carving path based on the processing feature vector and the preset processing goals and constraints. These rules clarify which type of carving path (such as straight path, curved path, and loop path) should be selected under different jade material processing characteristics, as well as the specific parameters of the path (such as path direction, depth, speed, etc.). For example, when the processing feature vector indicates that the processing risk coefficient of a certain area is high and the defect spacing is small, the judgment rule may stipulate that a low-speed, small-feed loop path should be used to avoid defects and reduce damage to the jade material.

[0039] Optionally, the potential crack propagation direction corresponding to the defect core area and the defect influence area can be determined based on the extended finite element method (XFEM); the processing risk coefficient corresponding to the defect core area and the defect influence area can be analyzed by a model combining the analytic hierarchy process (AHP) and the fuzzy comprehensive evaluation method; and the dynamic path generation rule of the jade material to be processed can be constructed by the decision tree algorithm.

[0040] In another embodiment of the present invention, the step of extracting the processing feature vector of the jade material to be processed by combining the defect spacing matrix, the processing sensitivity, and the processing risk coefficient includes: Extract the key distance features from the defect spacing matrix, and parse out the minimum spacing value, maximum spacing value, and distribution dispersion of the key distance features; Based on the minimum spacing value, the maximum spacing value, and the distribution dispersion, establish the association rule between the defect spacing matrix and the processing sensitivity; Divide the feature extraction dimensions corresponding to the association rules; Calculate the response rate of the processing sensitivity under different engraving parameters, and use the processing risk coefficient to determine the risk correlation degree of the processing sensitivity; The feature weight factor in the feature extraction dimension is calculated using the response rate, the risk correlation degree, and the distribution dispersion. Based on the aforementioned feature weighting factors, the processing feature vector of the jade material to be processed is extracted.

[0041] The key distance features refer to a set of distance-related features selected from the defect spacing matrix that significantly reflect the spatial distribution characteristics of defects within the jade material to be processed and have a significant impact on the processing process and results. These features can be extracted using an improved K-means clustering algorithm. The specific steps are: standardizing the distance values ​​in the defect spacing matrix; using K-means clustering to obtain k clusters; calculating the Pearson correlation coefficient r between the average distance of each cluster and the processing quality influencing factor; retaining the distance range corresponding to clusters with r ≥ 0.7 to form the key distance features; the minimum spacing value... The minimum distance value in the key distance features represents the closest distance between internal defects in the jade material to be processed; the maximum spacing value represents the largest distance in the key distance features, representing the farthest distance between internal defects in the jade material to be processed; the distribution dispersion is an index describing the degree of dispersion of distance values ​​in the key distance features, reflecting the uniformity of defect distribution within the jade material. For example, if the distance values ​​of the key distance features are 2mm, 3mm, and 4mm, the distribution dispersion is small; if the distance values ​​are 2mm, 5mm, and 10mm, the distribution dispersion is large. The formula for calculating the distribution dispersion is: ,in, σ represents the distribution dispersion, and σ represents the standard deviation of the key distance feature. The mean of the key distance features is represented. This represents the correction factor. The terms "distance deviation" and "association rule" refer to the rules describing the regular dependency between key distance features (minimum spacing value, maximum spacing value, and distribution dispersion) in the defect spacing matrix and processing sensitivity. The "feature extraction dimension" refers to the classification dimension used in the processing feature vector extraction process based on different antecedent types of the association rule. The "carving parameter" refers to the adjustable process parameters that affect the carving effect and the processing state of the jade material during the carving process. The "response rate" refers to the rate of change of processing sensitivity with a unit change in carving parameters, reflecting the sensitivity of processing sensitivity to changes in carving parameters. The "risk correlation degree" is an indicator that measures the strength of the correlation between processing sensitivity and processing risk coefficient, quantifying the impact of changes in processing sensitivity on processing risk. It can be determined by using a grey relational analysis model to calculate the grey relational degree between the processing sensitivity sequence and the processing risk coefficient sequence. The "feature weight factor" refers to the coefficient that measures the importance of the feature in each feature extraction dimension to the processing feature vector, and can be calculated using the entropy weight method.

[0042] Optionally, the association rule between the defect spacing matrix and the processing sensitivity can be established using an improved Apriori algorithm; the feature extraction dimension corresponding to the association rule can be divided using a hierarchical clustering algorithm.

[0043] Furthermore, by monitoring the dynamic processing state of the jade material to be processed in the adaptive carving path in real time, this embodiment of the invention can accurately capture the real-time changes of the jade material during the carving process, promptly identify the shortcomings of the adaptive path in dealing with sudden defects, material differences, etc., and optimize parameter matching and path planning in the carving process by means of real-time feedback and dynamic adjustment of the path. The dynamic processing state refers to the set of real-time changes in the physical characteristics, defect state, and interaction with the carving tool of the jade material to be processed during the carving process following the adaptive carving path.

[0044] Optionally, the dynamic processing state of the jade material to be processed in the adaptive carving path can be monitored in real time by a miniature ultrasonic probe. For example, a miniature ultrasonic probe can be embedded in the worktable of the carving machine to perform rapid ultrasonic scanning of the processing area in the carving gap. The expansion of existing defects (such as cracks) or the initiation state of new defects (such as microcracks) can be analyzed by echo signals to realize real-time monitoring of the dynamic evolution of defects.

[0045] S4. Based on the dynamic processing state, construct the optimal process parameter set for the jade material to be processed, and combine it with the preset pattern design template to calculate the processing error deviation of the jade material to be processed. Based on the processing error deviation, generate a dynamic correction instruction for the optimal process parameter set.

[0046] This invention, through its embodiments, constructs an optimal set of process parameters for the jade material to be processed based on the dynamic processing state. This allows for the deep integration of real-time monitored processing state data with the adaptation rules of process parameters, forming a parameter system that better suits the characteristics of the jade material and the carving requirements. This enhances the stability and adaptability of the jade carving process. The optimal set of process parameters refers to a combination of process parameters adapted to the current processing scenario, obtained by analyzing the correlation between real-time monitored changes in jade material characteristics (such as hardness and defect evolution), tool interaction states (such as tool force and feed speed), and carving effects, based on the dynamic processing state data of the jade material in the adaptive carving path.

[0047] As an embodiment of the present invention, constructing the optimal set of process parameters for the jade material to be processed based on the dynamic processing state includes: Simultaneously acquire the processing status data corresponding to the dynamic processing state and the material characteristic data of the jade material to be processed; Key processing response indicators are extracted from the processing status data to determine the feasible range of process parameters for the jade material to be processed. The differential material attributes in the material feature data are analyzed to generate the material adaptation coefficients of the feasible domain of the process parameters; Based on the feasible domain of the process parameters and the material adaptation coefficient, define the process parameter coordination rules for the jade material to be processed; Based on the aforementioned process parameter coordination rules, the process parameters of the jade material to be processed are combined and optimized to obtain the optimal set of process parameters.

[0048] The processing status data refers to a set of quantitative data collected in real time by various sensing devices during the carving process of the jade material following the adaptive carving path. This data reflects the real-time processing status of the jade material and the interaction between the tool and the jade material. For example, in the process of carving a jadeite, the real-time data collected includes a cutting force of 28N, a jade surface temperature of 52℃, a defect propagation rate of 0.03mm / s, and a tool rotation speed of 3200r / min. The material characteristic data refers to a set of quantitative data describing the inherent physical, chemical, and structural properties of the jade material. For example, the average hardness of Hetian jade is 6.0, its toughness coefficient is 4.5, and its density is 2.95g / cm³. 3 Texture orientation angle: 30°; Internal impurity distribution density: 0.02 particles / mm 3The key processing response indicators refer to core quantitative indicators extracted from processing status data that have a significant impact on carving quality, efficiency, and jade material integrity. They can intuitively reflect the stability and rationality of the processing process, including indicators such as cutting force fluctuation amplitude, temperature rise rate, defect propagation acceleration, and surface roughness change rate. The feasible domain of process parameters refers to the range of allowable values ​​for each process parameter during the carving process, based on the safety threshold of the key processing response indicators and processing accuracy requirements. It is the boundary constraint for adjusting process parameters and can be determined by combining the safety threshold of the key processing response indicators, the material characteristics of the jade, and carving process standards. The specific steps for obtaining the feasible domain of process parameters are: determining the safety threshold of each key processing response indicator (e.g., temperature not exceeding 60℃, defect propagation acceleration not exceeding 0.01mm / s). 2 The process involves establishing a mapping relationship between key processing response indicators and process parameters through experiments; based on the mapping relationship and safety thresholds, the allowable value range of each process parameter is derived in reverse, forming the feasible domain of the process parameters; the differentiated material attributes refer to the differences in material properties between different regions within the jade material to be processed, for example, in a piece of jade, one region has a hardness of 7.2, while another region has a hardness of 6.5; one part has dense texture, while another part has sparse texture; one region has micro-cracks, while another region has a complete structure, etc.; the material adaptation coefficient is a coefficient used to quantify the degree of influence of differentiated material attributes in different regions on process parameters. The specific steps for obtaining the material adaptation coefficient are: designing process parameter adjustment experiments under different material attributes (such as different hardness and texture density); and recording the optimal adjustment range of the process parameters in the experiments. The correlation between material properties and their differences is established; the experimental data are fitted using a multiple linear regression algorithm to obtain a calculation model for the material compatibility coefficient; the process parameter coordination rule refers to the logical relationship and constraints between different process parameters for mutual cooperation and coordinated adjustment within the feasible domain of process parameters, based on the material compatibility coefficient, to ensure the stability and efficiency of the carving process; the process parameters refer to the technical parameters that can be artificially adjusted during jade carving and directly affect the carving process and results, and are key control variables for achieving the carving goals; the combination optimization process refers to the process of trying and evaluating various combinations of process parameters within the feasible domain of process parameters according to the process parameter coordination rule, and selecting the process parameter combination that can achieve the optimal carving effect (such as processing efficiency, surface quality, and defect control).

[0049] Optionally, the differentiated material attributes in the material feature data can be obtained using a region growing algorithm; the collaborative rules of the process parameters of the jade material to be processed can be defined using an association rule mining algorithm, such as the Apriori algorithm; and the combined optimization of the process parameters of the jade material to be processed can be achieved using a genetic algorithm.

[0050] Furthermore, this embodiment of the invention, by calculating the processing error deviation of the jade material to be processed based on the dynamic processing state and in conjunction with the preset pattern design template, can improve the pattern restoration accuracy and process adaptability of jade carving, and enhance the collaborative processing capability of jade carving equipment for complex pattern designs and dynamic changes in jade materials. The processing error deviation refers to a comprehensive index that quantifies the degree of deviation between the actual processing trajectory, size, shape, and other parameters and the design template requirements, based on the comparison and analysis of the dynamic processing state of the jade material to be processed and the preset pattern design template during the jade carving process. It includes spatial deviation index and attribute deviation index. For example, the actual direction of a line in the carved pattern has a 2mm lateral offset from the preset path of the line in the template; the template requires a carving depth of 3mm in a certain area, while the actual processing depth is 2.5mm. The depth deviation between the two is a manifestation of attribute deviation.

[0051] As an embodiment of the present invention, the calculation of the processing error deviation of the jade material to be processed based on the dynamic processing state and in conjunction with the preset pattern design template includes: Based on the preset pattern design template, the carving area of ​​the jade material to be processed in the dynamic processing state is determined; Analyze the feature relationship between the engraved area and the preset pattern design template; Based on the aforementioned feature association, the actual processing parameter values ​​for each carving position in the carving area and the standard processing parameter values ​​for the corresponding positions in the preset pattern design template are obtained. Extract the parameter fluctuation vector of the jade material to be processed during the carving process; Based on the actual processing parameter values, the standard processing parameter values, the region-pattern adaptation coefficient, and the parameter fluctuation vector, the processing error deviation of the jade material to be processed is calculated.

[0052] The carving area refers to the specific spatial range on or inside the surface of the jade material to be processed, determined according to a preset pattern design template, that requires carving. The feature correlation refers to the mapping, matching, or constraint relationship between the inherent features of the carving area (such as shape, texture, hardness distribution, etc.) and the features of the corresponding area in the preset pattern design template (such as line direction, pattern density, detail complexity, etc.). The carving position refers to the discrete point or continuous line segment within the carving area, where specific carving operations are required according to the detail requirements of the preset pattern design template; it is the basic unit for controlling carving parameters. The actual processing parameter value refers to the actual output process parameter values ​​of the carving equipment when performing carving operations at various carving positions, collected in real time by sensors installed on the carving equipment under dynamic processing conditions. For example, at a certain carving position, the actual carving depth is 0.8mm, and the actual line width... The actual surface roughness is 0.4μm, and these values ​​are actual processing parameter values. The corresponding position refers to the position in the preset pattern design template that has a one-to-one mapping relationship with a certain carving position in the carving area. The two correspond to each other in terms of pattern layout and function. The standard processing parameter value refers to the target value of the carving parameter set for the corresponding position according to the accuracy requirements, artistic effect specifications and jade processing technology standards of the preset pattern design template. The parameter fluctuation vector refers to the vector formed by the deviation of the actual processing parameter value of each carving position from the real-time average processing parameter value of its area during the carving process. For example, if the real-time average carving depth of a certain carving area is 0.9mm, and the actual depths of the three carving positions in this area are 1.0mm, 0.8mm, and 0.9mm, then the corresponding parameter fluctuation vector is [0.1mm, -0.1mm, 0mm].

[0053] Optionally, the feature association between the carving area and the preset pattern design template can be analyzed using the FP-Growth algorithm; the carving position in the carving area can be obtained using a vector graphics sampling algorithm; and the parameter fluctuation vector of the jade material to be processed during the carving process can be determined using a sliding window averaging algorithm.

[0054] In another embodiment of the present invention, the deviation of the processing error of the jade material to be processed is calculated by the following formula: ; in, This indicates the deviation of the processing error of the jade material to be processed. Represents the normalization coefficient. This represents the weight coefficient of the k-th carving position in the jade material to be processed. Indicates the jade material to be processed Actual processing parameter values, Indicates the jade material to be processed Standard machining parameter values, Indicates the reference value of the parameter. Indicates the region-pattern adaptation coefficient. This represents the adaptation coefficient correction index. This indicates the index of the carving position in the jade material to be processed. This indicates the total number of carving positions in the jade material to be processed. This represents the parameter fluctuation vector.

[0055] It should be noted that in this application, the above formula is used to quantify the dynamic processing error in the jade carving process. It not only considers the deviation between actual and standard parameters, but also introduces a parameter fluctuation vector (ΔP) to reflect the real-time changes in the jade processing process; in addition, it uses a region-pattern adaptation coefficient. This can measure the degree of matching between the jade material's texture and the preset template, thereby avoiding misjudgments caused by material characteristics; finally, the exponential decay term This is used to simulate the adaptive adjustment capability of a machining system; the greater the fluctuation (such as automatic tool compensation), the smaller the error deviation.

[0056] This invention generates dynamic correction instructions for the optimal process parameter set based on the processing error deviation. This allows for dynamic quantification of the real-time matching between the engraving parameter adjustment and the preset pattern accuracy requirements, improving the accuracy and stability of the optimal process parameter set under dynamic changes in jade material and complex pattern processing. The dynamic correction instructions refer to real-time adjustment instructions generated based on the quantification results of the processing error deviation for various parameters in the optimal process parameter set (such as tool speed, feed rate, engraving force, etc.). Their function is to maintain a dynamic match between the actual processing process and the preset pattern accuracy requirements by accurately correcting the parameter values.

[0057] As an embodiment of the present invention, the step of generating the dynamic correction instruction for the optimal process parameter set based on the machining error deviation includes: Retrieve the pattern design template corresponding to the optimal process parameter set; Based on the precision requirements of the pattern design template and the jade carving process standards, identify the deviation correction type corresponding to the optimal process parameter set, and set the graded threshold range corresponding to the processing error deviation. Based on the grading threshold range, the process adjustment level corresponding to the processing error deviation is divided; By combining the deviation correction type, the graded threshold range, and the process adjustment level, the parameter correction direction of the optimal process parameter set is determined; Based on the processing error deviation and the grading threshold range, set the parameter adjustment gradient corresponding to the parameter correction direction; Based on the parameter adjustment gradient, identify the parameter collaborative correction relationship of the optimal process parameter set; Based on the parameter collaborative correction relationship, a dynamic correction instruction for the optimal process parameter set is generated.

[0058] The pattern design template refers to a pre-designed digital pattern model used to guide the carving of jade materials. It includes core information such as the outline, details, size proportions, and artistic style of the pattern, serving as a target reference for jade carving. The precision requirements refer to the quantitative indicators specified in the pattern design template, such as the dimensional deviation range, surface roughness, and detail clarity required for the finished carving. These reflect the standard of refinement of the jade carving. For example, in the "Dragon and Phoenix Auspiciousness" pattern, the allowable deviation of the line width of the dragon scales is ±0.1mm, the positional deviation of the overall outline of the pattern from the design template does not exceed 0.2mm, and the surface roughness Ra≤0.8μm. The jade carving process standards refer to a series of norms and guidelines established during the jade carving process to ensure product quality and improve production efficiency, including processing equipment parameters, operating procedures, and quality inspection methods. The deviation correction types refer to different correction categories based on the differences between the actual processing results and the pattern design template, including dimensional deviations (such as shallow carving depth or excessive line width), shape deviations (such as the outline not matching the template), and surface quality deviations (such as excessive surface roughness).For example, if the actual carving depth at a certain location is 0.3mm shallower than the template requirement, it falls under the category of insufficient depth in dimensional deviations. The grading threshold range refers to multiple continuous numerical ranges defined based on the magnitude of the processing error deviation, combined with precision requirements and jade carving standards, used to define the severity of the error. These grading threshold ranges can be divided into: low deviation range (0-0.2), medium deviation range (0.2-0.5), and high deviation range (0.5-1.0). The process adjustment level refers to the adjustment intensity level of the process parameters determined according to the grading threshold range of the processing error deviation, reflecting the operational intensity required to correct the error. The low deviation range corresponds to a fine-tuning level (parameter adjustment range within ±5%), the medium deviation range corresponds to a moderate adjustment level (parameter adjustment range 5%-15%), and the high deviation range corresponds to an emergency adjustment level (parameter adjustment range exceeding 15%, requiring processing to be paused if necessary). The parameter correction... The positive direction refers to the direction in which process parameters are adjusted (e.g., increased or decreased) to make the actual processing parameter values ​​closer to the standard processing parameter values. This direction is determined by the deviation correction type and the magnitude of the error. The parameter adjustment gradient refers to the proportional relationship between the adjustment range of the process parameters and the deviation of the processing error. The parameter adjustment gradient is calculated based on the relative position of the processing error deviation within the graded threshold range. The calculation formula is: Parameter adjustment gradient = Current error deviation / Upper limit of the range. For example, in the medium deviation range (0.2-0.5), if the processing error deviation is 0.3 and the upper limit of the range is 0.5, and the parameter adjustment gradient is set to 0.6 (0.3 / 0.5), then the adjustment range of the engraving force is the maximum adjustment range (15%) × 0.6 = 9%. The parameter synergistic correction relationship refers to the mutual influence and coordination between multiple process parameters during the correction process, ensuring that the adjustment of each parameter can work synergistically to achieve effective error correction.

[0059] Optionally, the process adjustment level corresponding to the deviation of the processing error can be classified using a logistic regression algorithm; the parameter coordination correction relationship of the optimal process parameter set can be identified through a multiple linear regression model.

[0060] S5. Combining the texture deviation mode, the optimal process parameter set, and the dynamic correction instruction, output the intelligent process scheme for the jade material to be processed.

[0061] This invention, by combining the texture deviation mode, the optimal process parameter set, and the dynamic correction command, outputs an intelligent processing scheme for the jade material to be processed. This not only significantly improves the texture reproduction accuracy in jade carving, allowing the carving process to adapt to the natural texture characteristics of the jade material in real time, but also dynamically adjusts the combination, correction magnitude, and timing of process parameters according to the dynamic processing state of the jade material and the preset pattern design requirements. This effectively enhances the adaptability and precision of the jade carving process. The intelligent processing scheme refers to the synergistic adaptation of the texture deviation mode, the optimal process parameter set, and the dynamic correction command to form a complete and dynamically adjustable system. The overall jade carving processing strategy includes a texture deviation mode that provides a basic framework for texture adaptation, clarifying the key processing directions, deviation correction priorities, and texture protection criteria for different texture areas; an optimal set of process parameters that provides the core basis for parameter control, defining the basic value range and synergistic relationship of each process parameter to ensure the stability and efficiency of the processing; and dynamic correction instructions that endow the solution with real-time adjustment capabilities, dynamically optimizing parameter combinations based on the deviation of processing errors to ensure that the texture restoration accuracy always meets the preset standards, avoiding texture damage or pattern distortion caused by fluctuations in jade material characteristics or parameter mismatch.

[0062] Compared to the problems described in the background art, the embodiments of the present invention, by acquiring the internal spectral feature map and surface micro-defect image of the jade material to be processed, establish a material parameter matrix for the jade material to be processed. This allows for precise determination of the optimal carving direction, appropriate carving force, and defect areas to be avoided. Furthermore, by identifying the texture deviation pattern of the jade material to be processed based on the material parameter matrix, the embodiments of the present invention ensure the accuracy of jade material characteristic analysis and the adaptability of dynamic optimization of carving schemes in the intelligent design of jade carving processes. The embodiments of the present invention, by determining the internal defect areas of the jade material to be processed during the carving process based on the texture deviation pattern and a preset pattern design template, can improve the precision of defect avoidance in jade carving. Regarding accuracy and precision, this invention enhances the intelligent design capabilities of the process to adapt to and control the natural characteristics of jade materials. Furthermore, by planning an adaptive carving path for the jade material to be processed based on the internal defect areas, the carving trajectory can be dynamically adjusted according to the internal defect areas, improving the carving precision of jade carving equipment on complex jade structures and enhancing the utilization rate of raw materials and the stability of finished product quality during jade carving. By monitoring the dynamic processing status of the jade material to be processed in the adaptive carving path in real time, this invention can accurately capture real-time changes in the jade material during carving, promptly identify shortcomings in the adaptive path in dealing with sudden defects and material differences, and optimize parameter matching during the carving process through real-time feedback and dynamic path adjustment. Furthermore, this embodiment of the invention constructs an optimal set of process parameters for the jade material to be processed based on the dynamic processing state. This deeply integrates the real-time monitored processing state data with the adaptation rules of process parameters, forming a parameter system that better suits the characteristics of the jade material and the carving requirements, thereby improving the stability and adaptability of the jade carving process. This embodiment of the invention also calculates the processing error deviation of the jade material based on the dynamic processing state and in conjunction with the preset pattern design template. This improves the pattern reproduction accuracy and process adaptability of the jade carving process, and enhances the collaborative processing capability of the jade carving equipment for complex pattern designs and dynamic changes in the jade material. Furthermore, this embodiment of the invention generates... The dynamic correction instructions of the optimal process parameter set can dynamically quantify the real-time matching status between the carving parameter adjustment and the preset pattern accuracy requirements, thereby improving the accuracy and stability of the optimal process parameter set under dynamic changes in jade material and complex pattern processing. Finally, by combining the texture deviation mode, the optimal process parameter set, and the dynamic correction instructions, this embodiment of the invention outputs an intelligent process scheme for the jade material to be processed. This not only significantly improves the texture restoration accuracy of jade carving, allowing the carving process to adapt to the natural texture characteristics of the jade material in real time, but also dynamically adjusts the combination, correction magnitude, and timing of process parameters according to the dynamic processing status of the jade material and the preset pattern design requirements, thereby effectively enhancing the adaptability and accuracy of jade carving.Therefore, the intelligent design method and system for jade carving provided in this embodiment of the invention can accurately analyze the internal texture and material differences of jade materials, thereby improving the craftsmanship precision of jade carving works.

[0063] like Figure 3 The diagram shown is a functional module diagram of an intelligent design system for jade carving processes according to the present invention.

[0064] The intelligent design system 200 for jade carving processing described in this invention can be installed in an electronic device. Depending on the functions implemented, the intelligent design system for jade carving processing may include a material analysis module 201, a defect location module 202, a path planning module 203, a parameter correction module 204, and a scheme generation module 205. The modules described in this invention can also be called units, referring to a series of computer program segments that can be executed by the processor of an electronic device and perform a fixed function, stored in the memory of the electronic device.

[0065] In this embodiment of the invention, the functions of each module / unit are as follows: The material analysis module 201 is used to acquire the internal spectral feature map and surface micro-defect image of the jade material to be processed, so as to establish the material parameter matrix of the jade material to be processed. The defect location module 202 is used to identify the texture deviation pattern of the jade material to be processed based on the material parameter matrix, and to determine the internal defect area of ​​the jade material to be processed during the carving process according to the texture deviation pattern and the preset pattern design template. The path planning module 203 is used to plan an adaptive carving path for the jade material to be processed based on the internal defect area, and to monitor the dynamic processing status of the jade material to be processed in the adaptive carving path in real time. The parameter correction module 204 is used to construct an optimal set of process parameters for the jade material to be processed based on the dynamic processing state, and calculate the processing error deviation of the jade material to be processed in combination with the preset pattern design template, and generate a dynamic correction instruction for the optimal set of process parameters based on the processing error deviation. The scheme generation module 205 is used to combine the texture deviation mode, the optimal process parameter set and the dynamic correction instruction to output an intelligent process scheme for the jade material to be processed.

[0066] In detail, the modules in the intelligent design system 200 for jade carving processing described in this embodiment of the invention employ the same methods as described above. Figure 1This is a technical means similar to the intelligent design method for jade carving processes described in the article, and can produce the same technical effect, so it will not be elaborated here.

[0067] It will be apparent to those skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above, and that the present invention can be implemented in other specific forms without departing from the spirit or essential characteristics of the present invention.

[0068] Finally, it should be noted that deleting any one of the above embodiments does not affect the technical solutions of other embodiments. The above embodiments are only used to illustrate the technical solutions of the present invention and not to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention.

Claims

1. A process intelligent design method for realizing jade carving processing, characterized in that, The method comprises: obtaining the internal spectral feature map and the surface micro-defect image of the jade material to be processed to establish the material parameter matrix of the jade material to be processed; based on the material parameter matrix, identifying the texture deviation mode of the jade material to be processed, and determining the internal defect area of the jade material to be processed in the carving process according to the texture deviation mode and the preset pattern design template; according to the internal defect area, planning the adaptive carving path of the jade material to be processed, and monitoring the dynamic processing state of the jade material to be processed in the adaptive carving path in real time; based on the dynamic processing state, constructing the optimal process parameter set of the jade material to be processed, and combining the preset pattern design template, calculating the processing error deviation degree of the jade material to be processed, and generating the dynamic correction instruction of the optimal process parameter set according to the processing error deviation degree; combining the texture deviation mode, the optimal process parameter set and the dynamic correction instruction, outputting the process intelligent scheme of the jade material to be processed.

2. The process intelligent design method for realizing jade carving processing according to claim 1, characterized in that, According to the texture deviation mode and the preset pattern design template, the internal defect area of the jade material to be processed in the carving process comprises: counting the occurrence frequency corresponding to the texture deviation mode, and screening out the high-frequency texture deviation type through the occurrence frequency; identifying the deviation position corresponding to the high-frequency texture deviation type, and obtaining the three-dimensional scanning data of the deviation position; performing spatial matching processing of the three-dimensional scanning data and the preset pattern design template to obtain a spatial matching result; based on the spatial matching result, identifying the difference area between the three-dimensional scanning data and the preset pattern design template; according to the difference area, calling the corresponding geological origin data of the jade material to be processed; analyzing the internal relationship between the geological origin data and the texture deviation mode; based on the internal relationship, identifying the key geological influencing factors and formation environment parameters corresponding to the texture deviation mode; determining the internal defect area of the jade material to be processed in the carving process through the key geological influencing factors and the formation environment parameters.

3. The method for implementing process intelligent design in jade carving processing according to claim 1, characterized in that, According to the internal defect area, the adaptive carving path of the jade material to be processed comprises: extracting the defect core area and the defect influence area corresponding to the jade material to be processed from the internal defect area; determining the potential crack propagation direction corresponding to the defect core area and the defect influence area; identifying the defect coordinate set corresponding to the internal defect area to construct the defect spacing matrix of the jade material to be processed; respectively measuring the processing sensitivity corresponding to the defect core area and the defect influence area; according to the potential crack propagation direction, analyzing the processing risk coefficient corresponding to the defect core area and the defect influence area; combining the defect spacing matrix, the processing sensitivity and the processing risk coefficient, extracting the processing feature vector of the jade material to be processed; based on the processing feature vector, establishing the dynamic path generation rule of the jade material to be processed; according to the dynamic path generation rule, planning the adaptive carving path of the jade material to be processed.

4. The process intelligent design method for realizing jade carving processing according to claim 3, characterized in that, The combination of the defect interval matrix, the processing sensitivity and the processing risk coefficient, the processing characteristic vector of the to-be-processed jade material is extracted, including: Extracting the key distance features in the defect interval matrix, and analyzing the minimum interval value, the maximum interval value and the distribution dispersion degree in the key distance features; According to the minimum interval value, the maximum interval value and the distribution dispersion degree, the correlation rule between the defect interval matrix and the processing sensitivity is established; Divide the feature extraction dimension corresponding to the correlation rule; Calculate the response rate of the processing sensitivity under different engraving parameters, and determine the risk correlation degree of the processing sensitivity by using the processing risk coefficient; Through the response rate, the risk correlation degree and the distribution dispersion degree, the feature weight factor in the feature extraction dimension is calculated; Based on the feature weight factor, the processing characteristic vector of the to-be-processed jade material is extracted.

5. The method for implementing process intelligent design in jade carving processing according to claim 1, characterized in that, Based on the dynamic processing state, and combined with the preset pattern design template, the processing error deviation of the to-be-processed jade material is calculated, including: Based on the preset pattern design template, the engraving area of the to-be-processed jade material under the dynamic processing state is determined; Analyze the feature correlation between the engraving area and the preset pattern design template; According to the feature correlation, the actual processing parameter value of each engraving position in the engraving area and the standard processing parameter value of the corresponding position in the preset pattern design template are obtained; Extract the parameter fluctuation vector of the to-be-processed jade material in the engraving process; Based on the actual processing parameter value, the standard processing parameter value, the area-pattern adaptation coefficient and the parameter fluctuation vector, the processing error deviation of the to-be-processed jade material is calculated by the following formula: ； wherein, represents a machining error deviation degree of the material to be processed, represents a normalization coefficient, represents a weight coefficient of the kth carving position in the material to be processed, represents a total number of carving positions in the material to be processed, an actual machining parameter value, represents a total number of carving positions in the material to be processed, a standard machining parameter value, represents a parameter reference amount, represents a region-pattern adaptation coefficient, represents an adaptation coefficient correction index, represents a carving position index in the material to be processed, represents a total number of carving positions in the material to be processed, represents a parameter fluctuation vector.

6. The method for implementing process intelligent design in jade carving processing according to claim 1, characterized in that, Based on the dynamic processing state, the optimal process parameter set of the to-be-processed jade material is constructed, including: Synchronously acquire the processing state data corresponding to the dynamic processing state and the material characteristic data of the to-be-processed jade material; Extract the key processing response index from the processing state data to determine the process parameter feasible region of the to-be-processed jade material; Analyze the differentiated material properties in the material characteristic data to generate the material adaptation coefficient of the process parameter feasible region; According to the process parameter feasible region and the material adaptation coefficient, the process parameter coordination rule of the to-be-processed jade material is defined; Based on the process parameter coordination rule, the process parameters of the to-be-processed jade material are combined and optimized to obtain the optimal process parameter set.

7. The method for implementing process intelligent design in jade carving processing according to claim 1, characterized in that, The internal spectral feature map and the surface micro-defect image of the to-be-processed jade material are acquired to establish the material parameter matrix of the to-be-processed jade material, including: Based on the internal spectral feature map, the mineral species, distribution density and structure level of the to-be-processed jade material are identified; From the surface micro-defect image, the crack parameters, impurity attributes and texture features of the to-be-processed jade material are extracted; According to the mineral species and the distribution density, the material uniformity index of the to-be-processed jade material is determined; Using the texture direction index in the structure level and the material uniformity index, the basic texture score of the to-be-processed jade material is output. Collect geological environment data of a mine vein where the jade material to be processed is located, and combine the crack parameters and the geological environment data to calculate a defect diffusion risk coefficient corresponding to the jade material to be processed; Based on the impurity attribute and the texture feature, a process adaptation deviation rate of the jade material to be processed is identified; According to the defect diffusion risk coefficient and the process adaptation deviation rate, a dynamic processing difficulty coefficient of the jade material to be processed is calculated; Combined with the basic texture score, the dynamic processing difficulty coefficient, and the material uniformity index, a material parameter matrix of the jade material to be processed is established.

8. The method for implementing process intelligent design in jade carving processing according to claim 1, characterized in that, Based on the material parameter matrix, a texture deviation mode of the jade material to be processed is identified, including: Based on the material parameter matrix, a structure parameter mutation region inside the jade material to be processed is located; The geological diagenetic stage and the ore-forming environment parameters corresponding to the structure parameter mutation region are identified; The parameter fluctuation amplitude ratio and the distribution similarity index of the structure parameter mutation region and a preset reference region are calculated; According to the parameter fluctuation amplitude ratio and the distribution similarity index, the diffusion characteristics of the structure parameter mutation region are determined; Combined with the diffusion characteristics, the geological diagenetic stage, and the ore-forming environment parameters, the texture deviation mode of the jade material to be processed is identified.

9. The method for implementing process intelligent design in jade carving processing according to claim 1, characterized in that, According to the processing error deviation degree, a dynamic correction instruction of the optimal process parameter set is generated, including: The pattern design template corresponding to the optimal process parameter set is called; According to the accuracy requirement of the pattern design template and the jade carving process standard, the deviation correction type corresponding to the optimal process parameter set is identified, and the classification threshold interval corresponding to the processing error deviation degree is set; Based on the classification threshold interval, the process adjustment level corresponding to the processing error deviation degree is divided; Combined with the deviation correction type, the classification threshold interval, and the process adjustment level, the parameter correction direction of the optimal process parameter set is determined; According to the processing error deviation degree and the classification threshold interval, the parameter adjustment gradient corresponding to the parameter correction direction is set; Based on the parameter adjustment gradient, the parameter collaborative correction relationship of the optimal process parameter set is identified; According to the parameter collaborative correction relationship, the dynamic correction instruction of the optimal process parameter set is generated.

10. A system for implementing process intelligent design under jade carving processing, characterized in that, The system includes: A material analysis module for obtaining internal spectral features and surface micro-defect images of a jade material to be processed to establish a material parameter matrix of the jade material to be processed; A defect positioning module for identifying a texture deviation mode of the jade material to be processed based on the material parameter matrix, and determining an internal defect area of the jade material to be processed in the carving process according to the texture deviation mode and a preset pattern design template; A path planning module for planning an adaptive carving path of the jade material to be processed according to the internal defect area, and monitoring the dynamic processing state of the jade material to be processed in the adaptive carving path in real time; A parameter correction module is configured to construct an optimal process parameter set of the jade material to be processed based on the dynamic processing state, calculate a processing error deviation of the jade material to be processed in combination with the preset pattern design template, and generate a dynamic correction instruction of the optimal process parameter set according to the processing error deviation. A scheme generation module is configured to output an intelligent process scheme of the jade material to be processed in combination with the texture deviation mode, the optimal process parameter set and the dynamic correction instruction.

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