Control system for 3D hard metal machining equipment and control method thereof

Abstract

The invention discloses a control system and a control method for 3D hard metal processing equipment, and the system comprises a processing unit which is configured to receive data from a sensor; the storage unit is used for storing a preset processing parameter set; the algorithm module is used for executing weighting calculation so as to dynamically adjust parameters in the processing parameter set based on the physical characteristics; and the output interface is used for transmitting the adjusted processing parameters to an execution mechanism of the 3D hard metal processing equipment. According to the invention, the data from the sensor can be received, and the processing parameters can be dynamically adjusted according to the data, so that the processing process is optimized. By introducing a weight distribution unit and weighting calculation based on historical data, the flexibility and adaptability of the system are improved, and the machining quality and efficiency are ensured. In addition, the user-friendly interface design enables the user to conveniently input or select the type of the to-be-processed material and the expected processing effect, and the usability and flexibility of the system are further improved.

Description

Technical Field

[0001] The present invention belongs to the field of metal processing, and more specifically, it particularly relates to a control system for 3D hard gold processing equipment. At the same time, the present invention also relates to a control method for 3D hard gold processing equipment. Background Art

[0002] As a high-precision and high-complexity manufacturing method, 3D hard gold processing technology has been widely used in the fields of jewelry and precision engineering; however, the existing 3D hard gold processing equipment control system has some significant deficiencies, which limit the processing efficiency, product quality, and the flexibility and adaptability of the equipment. The deficiencies are as follows: Insufficient optimization of machining parameters: Existing systems often lack effective algorithm modules to perform weighted calculations to dynamically adjust parameters in the machining parameter set based on physical properties; this means that the system cannot fully utilize physical properties such as material thickness and hardness to optimize the machining process, resulting in suboptimal machining results; in addition, the lack of analysis of historical data and experimental results prevents the system from learning and improving from past experience, limiting its adaptive capabilities; Poor user interactivity: Traditional systems usually do not provide a user-friendly interface, making it difficult for users to input or select the type of material to be processed and the expected processing effect; this reduces the ease of use and flexibility of the system, and users cannot make personalized settings according to their specific needs, thus affecting their satisfaction with the processing effect; Insufficient real-time monitoring and dynamic adjustment capabilities: During the processing, the actuator may not be able to continuously monitor the operating status of the equipment and the processing process, and dynamically adjust the processing parameters as needed; this limits the system's ability to respond to emergencies and improve processing efficiency; for example, if defects in the material or abnormalities in the equipment are found during the processing, the system should be able to adjust the parameters in time to avoid waste and damage; Lack of historical data processing and experimental results analysis: Existing systems may not make full use of historical processing data and experimental results to determine the relative importance of different physical properties to the processing effect, so as to assign weights and adjust parameters; this reduces the opportunity for system learning and improvement, making each processing like a new attempt rather than an experience-based optimization process; Therefore, we propose a control system and a control method for 3D hard gold processing equipment to solve the above problems in a targeted manner. Summary of the invention

[0003] The purpose of the present invention is to solve the shortcomings of the prior art and propose a control system for 3D hard gold processing equipment and a control method thereof, which can receive data from sensors and dynamically adjust processing parameters based on these data to optimize the processing process. By introducing a weight distribution unit and weighted calculation based on historical data, the present invention improves the flexibility and adaptability of the system and ensures processing quality and efficiency. In addition, the user-friendly interface design allows users to easily input or select the type of material to be processed and the expected processing effect, further improving the ease of use and flexibility of the system.

[0004] To achieve the above object, the present invention provides the following technical solutions: A control system for 3D hard gold processing equipment, comprising: a processing unit configured to receive data from sensors for collecting physical properties of the material to be processed, the sensors including a hardness sensor for measuring the hardness of the material, a thickness sensor for measuring the thickness of the material, and a composition analysis sensor for identifying the type of material; A storage unit, for storing preset processing parameter sets, each parameter set corresponding to a group of hard gold materials and expected processing effects; an algorithm module for performing weighted calculations to dynamically adjust parameters in the processing parameter set based on the physical characteristics, wherein the weighted calculations take into account the degree of influence of each physical characteristic on the processing effect and optimize the processing process accordingly; The output interface transmits the adjusted processing parameters to the actuator of the 3D hard gold processing equipment to control the processing operation.

[0005] Preferably, the algorithm module includes: A weight allocation unit is used to determine the relative importance of different physical properties to the processing effect based on historical processing data and experimental results; The parameter adjustment unit performs weighted averaging or weighted summing of the processing parameters according to the weights determined by the weight allocation unit to generate a final processing parameter value.

[0006] A control method for 3D hard gold processing equipment, the method adopts the above system and comprises the following steps: S1, data collection, the processing unit receives data from the sensor, including hardness and thickness; S2, data storage, storing the collected data in a storage unit for subsequent use; S3, parameter set matching, selecting a corresponding preset processing parameter set from the storage unit according to the type of material to be processed and the expected processing effect; S4, weighted calculation, the algorithm module performs weighted calculation, determines the relative importance of different physical characteristics to the processing effect according to the degree of influence of each physical characteristic on the processing effect, and distributes weights according to historical processing data and experimental results to generate the final processing parameter value; S5, output interface transmission: the adjusted processing parameters are transmitted to the actuator of the 3D hard gold processing equipment through the output interface; S6. Control processing operation: The actuator controls the processing equipment to perform corresponding operations according to the received processing parameters to complete the processing of the material to be processed.

[0007] Preferably, step S3 specifically comprises: S31, identifying the material type, using the data of the component analysis sensor to identify the specific type of the material to be processed; S32, identifying the expected processing effect, and determining the expected processing effect according to user input or system preset, including surface finish and shape accuracy; S33, identifying and retrieving the storage unit: searching the storage unit for a preset processing parameter set that matches the type of material to be processed and the expected processing effect; S34, identifying and selecting the best matching parameter set: selecting a parameter set that best matches the current material and the expected effect from the retrieved multiple parameter sets; S35, output matching results: send the selected preset processing parameter set to the algorithm module for further weighted calculation and adjustment.

[0008] Preferably, in step S4, dynamically adjusting the parameters in the processing parameter set by weighted calculation specifically includes: 1) Equipment feed speed is calculated by weighting the material thickness and hardness. The basic equipment feed speed is multiplied by the weighted value to get the feed speed for the material. The expression is: S 进给速度 =S 基础速度 × ; In the formula, S 进给速度 is the feed speed for the material, S 基础速度 is the equipment foundation feed speed, the equipment foundation feed speed is 1mm / min, T is the material thickness, H is the material hardness, where as well as Collected from the data, The average thickness of 3D hard gold jewelry made of this material in the past; 2) Processing order: weighted calculation is performed based on material hardness, processing complexity, and the number of material types. The one with the highest weighted value has the highest priority. The expression is: P = w1 × H + w2 × C + w3 × N; Where P is the calculated priority value, H is the material hardness, C is the processing complexity, N is the number of material types, and w1, w2, and w3 are the weights of hardness, processing complexity, and number of material types, respectively.

[0009] Preferably, step S5 is specifically: S51, transmitting the adjusted parameters, transmitting the adjusted processing parameters to the actuator of the 3D hard gold processing equipment through the output interface, to ensure that the equipment can operate according to the optimized parameters; S52, data analysis and processing: after receiving the adjusted parameters, the actuator first analyzes and processes the data to ensure the accuracy and completeness of the parameters and avoid any errors; S53, actuator operation: according to the parsed parameters, the actuator starts to perform specific processing operations.

[0010] Preferably, step S6 specifically comprises: S61, the actuator first receives the adjusted processing parameters from the output interface; S62, the actuator parses the received parameters to ensure that each parameter is correctly understood and prepared for controlling the processing equipment; S63. Before starting processing, the actuator may need to calibrate the processing equipment according to the new parameters to ensure processing accuracy and efficiency; S64, after the calibration is completed, the actuator will start the processing equipment and start processing the material to be processed according to the analyzed parameters; S65. During the processing, the actuator will continuously monitor the operating status of the equipment and the processing process to ensure that everything is carried out according to the predetermined parameters.

[0011] Preferably, step S3 also includes manual input, allowing the user to input or select the type of material to be processed and the expected processing effect, so that the system can more accurately match the preset processing parameter set.

[0012] Technical effects and advantages of the present invention: Compared with the prior art, the present invention provides a control system for 3D hard gold processing equipment, which has the following effects: Improve processing flexibility and adaptability. The present invention can dynamically adjust processing parameters according to the physical properties of the material to be processed and the expected processing effect. This flexibility enables the system to adapt to the needs of different materials, thereby improving processing efficiency and consistency of product quality. For harder materials, the system will automatically reduce the feed speed, while for softer materials, the feed speed can be appropriately increased to ensure the best processing effect. Optimize machining parameters, perform weighted calculations through algorithm modules, and dynamically adjust parameters in the machining parameter set based on physical characteristics. The present invention significantly improves the optimization potential of the machining process; the machining results are closer to the expected results, reducing the scrap rate and the number of reworks; the system automatically adjusts the cutting force and feed speed according to the specific hardness and thickness of the material to achieve the best machining state; Enhance user interactivity. The present invention provides a user-friendly interface that allows users to input or select the type of material to be processed and the expected processing effect. It improves the usability and flexibility of the system, allowing users to personalize settings according to their specific needs. Users select the required shape accuracy and surface finish through the interface, and the system will automatically match the most appropriate processing parameter set. Improve data analysis and processing capabilities. After receiving the adjusted parameters, the actuator will perform detailed data analysis and processing to ensure the accuracy and completeness of the parameters; reduce errors that may occur during the processing and improve the quality of the final product; the system can automatically detect and correct errors in data transmission to ensure that the actuator always operates according to the correct parameters; The present invention can realize real-time monitoring and dynamic adjustment. It has the ability to continuously monitor the equipment operation status and processing process, and can dynamically adjust the processing parameters as needed; the real-time monitoring and dynamic adjustment capabilities improve the system's response speed to emergencies and further improve the processing efficiency; if a material defect or equipment abnormality is detected, the system can immediately adjust the parameters to avoid waste and damage; By making full use of historical data and experimental results, the present invention can determine the relative importance of different physical properties to the processing effect by analyzing the historical processing data and experimental results, and perform weight allocation and parameter adjustment; so that the system can learn and improve from past experience and continuously improve processing quality and efficiency; Accurately identify the material type and expected effect. The present invention can accurately identify the type of material to be processed and retrieve the best preset processing parameter set in the storage unit that matches the current material and expected effect; accurate matching ensures processing quality and reduces resource waste; the system accurately identifies the material type through high-precision sensors and automatically selects the most appropriate processing parameter set; The transmission efficiency of the output interface is improved. The present invention optimizes the transmission mechanism of the output interface to ensure that the adjusted processing parameters can be quickly and accurately transmitted to the actuator of the 3D hard gold processing equipment; this efficient data transmission improves the timeliness and accuracy of the processing operation; the system quickly transmits parameters through a high-speed interface to ensure that the actuator can be updated in real time and process according to the latest parameters. BRIEF DESCRIPTION OF THE DRAWINGS

[0013] Figure 1 This is a control system architecture diagram for the 3D hard gold processing equipment of the present invention; Figure 2 This is a flow chart of the control method for the 3D hard gold processing equipment of the present invention. DETAILED DESCRIPTION

[0014] In order to make the purpose, technical scheme and advantages of the present invention clearer, the present invention is further described in detail below in conjunction with specific embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0015] The present invention provides a control system and control method for 3D hard gold processing equipment, which can receive data from sensors and dynamically adjust processing parameters according to these data to optimize the processing process. By introducing a weight distribution unit and weighted calculation based on historical data, the present invention improves the flexibility and adaptability of the system and ensures processing quality and efficiency. In addition, the user-friendly interface design allows users to easily input or select the type of material to be processed and the expected processing effect, further improving the ease of use and flexibility of the system; like Figure 1 As shown, the control system for 3D hard gold processing equipment includes: a processing unit configured to receive data from sensors for collecting physical properties of the material to be processed, the sensors including a hardness sensor for measuring the hardness of the material, a thickness sensor for measuring the thickness of the material, and a composition analysis sensor for identifying the type of material; A storage unit, for storing preset processing parameter sets, each parameter set corresponding to a group of hard gold materials and expected processing effects; An algorithm module, for performing weighted calculation to dynamically adjust the parameters in the processing parameter set based on the physical characteristics, wherein the weighted calculation takes into account the influence of each physical characteristic on the processing effect and optimizes the processing process accordingly; the algorithm module comprises: A weight allocation unit is used to determine the relative importance of different physical properties to the processing effect based on historical processing data and experimental results; The parameter adjustment unit performs weighted averaging or weighted summing of the processing parameters according to the weights determined by the weight allocation unit to generate a final processing parameter value.

[0016] The output interface transmits the adjusted processing parameters to the actuator of the 3D hard gold processing equipment to control the processing operation.

[0017] This embodiment also provides a control method for 3D hard gold processing equipment, which adopts the above system, such as Figure 2As shown, the following steps are included: S1, data collection, the processing unit receives data from the sensor, including hardness and thickness; S2, data storage, storing the collected data in a storage unit for subsequent use; S3, parameter set matching, according to the type of material to be processed and the expected processing effect, select the corresponding preset processing parameter set from the storage unit; step S3 is specifically: S31, identifying the material type, using the data of the component analysis sensor to identify the specific type of the material to be processed; S32, identifying the expected processing effect, and determining the expected processing effect according to user input or system preset, including surface finish and shape accuracy; S33, identifying and retrieving the storage unit: searching the storage unit for a preset processing parameter set that matches the type of material to be processed and the expected processing effect; S34, identifying and selecting the best matching parameter set: selecting a parameter set that best matches the current material and the expected effect from the retrieved multiple parameter sets; S35, output matching results: send the selected preset processing parameter set to the algorithm module for further weighted calculation and adjustment.

[0018] Among them, step S3 also includes manual input, allowing the user to input or select the type of material to be processed and the expected processing effect, so that the system can more accurately match the preset processing parameter set.

[0019] S4, weighted calculation, the algorithm module performs weighted calculation, determines the relative importance of different physical characteristics to the processing effect according to the degree of influence of each physical characteristic on the processing effect, and performs weight distribution according to historical processing data and experimental results to generate the final processing parameter value; in step S4, the parameters in the processing parameter set are dynamically adjusted by weighted calculation, specifically including: 1) Equipment feed speed is calculated by weighting the material thickness and hardness. The basic equipment feed speed is multiplied by the weighted value to get the feed speed for the material. The expression is: S 进给速度 =S 基础速度 × ; In the formula, S 进给速度 is the feed speed for the material, S 基础速度 is the equipment foundation feed speed, the equipment foundation feed speed is 1mm / min, T is the material thickness, H is the material hardness, where as well as Collected from the data, The average thickness of 3D hard gold jewelry made of this material in the past; 2) Processing order: weighted calculation is performed based on material hardness, processing complexity, and the number of material types. The one with the highest weighted value has the highest priority. The expression is: P = w1 × H + w2 × C + w3 × N; Where P is the calculated priority value, H is the material hardness, C is the processing complexity, N is the number of material types, and w1, w2, and w3 are the weights of hardness, processing complexity, and number of material types, respectively.

[0020] S5, output interface transmission: the adjusted processing parameters are transmitted to the actuator of the 3D hard gold processing equipment through the output interface; step S5 is specifically as follows: S51, transmitting the adjusted parameters, transmitting the adjusted processing parameters to the actuator of the 3D hard gold processing equipment through the output interface, to ensure that the equipment can operate according to the optimized parameters; S52, data analysis and processing: after receiving the adjusted parameters, the actuator first analyzes and processes the data to ensure the accuracy and completeness of the parameters and avoid any errors; S53, actuator operation: according to the parsed parameters, the actuator starts to perform specific processing operations.

[0021] S6, control processing operation: the actuator controls the processing equipment to perform corresponding operations according to the received processing parameters to complete the processing of the material to be processed; step S6 is specifically as follows: S61, the actuator first receives the adjusted processing parameters from the output interface; S62, the actuator parses the received parameters to ensure that each parameter is correctly understood and prepared for controlling the processing equipment; S63. Before starting processing, the actuator may need to calibrate the processing equipment according to the new parameters to ensure processing accuracy and efficiency; S64, after the calibration is completed, the actuator will start the processing equipment and start processing the material to be processed according to the analyzed parameters; S65. During the processing, the actuator will continuously monitor the operating status of the equipment and the processing process to ensure that everything is carried out according to the predetermined parameters.

[0022] The above weighted calculation embodiment is as follows: Example 1 Material parameters: Material thickness (T): 2mm Material hardness (H): 300HV Processing complexity (C): Medium Number of material types (N): 1 (gold only) Weighted calculation process: 1. Equipment feeding speed: S basic speed = 1mm / min T=2mm H=300HV According to the calculation formula: S feed speed = S base speed × (1 + T / H) = 1mm / min × (1 + 2 / 300) ≈ 1.0067mm / min The feed rate for this material is approximately 1.0067 mm / min.

[0023] 2. Processing order priority: H=300HV C = Medium (the weight of medium is 0.5) N=1 w1=0.4,w2=0.3,w3=0.3; According to the formula: P = w1 × H + w2 × C + w3 × N = 0.4 × 300 + 0.3 × 0.5 + 0.3 × 1 = 120.15; The calculated priority value P is 120.15.

[0024] Result: The feed speed for the gold material was adjusted to approximately 1.0067 mm / min; in the processing queue, the priority value of the task was 120.15.

[0025] Example 2 Material parameters: Material thickness (T): 1.5mm Material hardness (H): 350HV Processing complexity (C): High Number of material types (N): 2 Weighted calculation process: 1. Equipment feeding speed: S basic speed = 1mm / min T=1.5mm H=350HV According to the formula: S feed speed = S base speed × (1 + T / H) = 1mm / min × (1 + 1.5 / 350) ≈ 1.0043mm / min The feed rate for this material is approximately 1.0043 mm / min.

[0026] 2. Processing order priority: H=350HV C = High (high weight is 1) N=2 w1=0.4,w2=0.3,w3=0.3 According to the formula: P = w1 × H + w2 × C + w3 × N = 0.4 × 350 + 0.3 × 1 + 0.3 × 2 = 141.1; The calculated priority value P is 141.1.

[0027] Result: The feed speed for the platinum material was adjusted to approximately 1.0043 mm / min; in the processing queue, the priority value of the task was 141.1.

[0028] Example 3 Material parameters: Material thickness (T): 1mm Material hardness (H): 250HV Processing complexity (C): Low Number of material types (N): 1 Weighted calculation process: 1. Equipment feeding speed: S basic speed = 1mm / min T=1mm H=250HV According to the formula: S feed speed = S base speed × (1 + T / H) = 1mm / min × (1 + 1 / 250) ≈ 1.004mm / min; the feed speed for this material is approximately 1.004mm / min.

[0029] 2. Processing order priority: H=250HV C = Low (low weight is 0) N=1 w1=0.4,w2=0.3,w3=0.3 According to the formula: P=w1×H+w2×C+w3×N=0.4×250+0.3×0+0.3×1=100.3; the calculated priority value P is 100.3.

[0030] Result: The feed rate for the silver material was adjusted to approximately 1.004 mm / min; in the processing queue, the priority value of this task was 100.3.

[0031] In summary: compared with the prior art, the present invention has the following effects: Improve processing flexibility and adaptability. The present invention can dynamically adjust processing parameters according to the physical properties of the material to be processed and the expected processing effect. This flexibility enables the system to adapt to the needs of different materials, thereby improving processing efficiency and consistency of product quality. For harder materials, the system will automatically reduce the feed speed, while for softer materials, the feed speed can be appropriately increased to ensure the best processing effect. Optimize machining parameters, perform weighted calculations through algorithm modules, and dynamically adjust parameters in the machining parameter set based on physical characteristics. The present invention significantly improves the optimization potential of the machining process; the machining results are closer to the expected results, reducing the scrap rate and the number of reworks; the system automatically adjusts the cutting force and feed speed according to the specific hardness and thickness of the material to achieve the best machining state; Enhance user interactivity. The present invention provides a user-friendly interface that allows users to input or select the type of material to be processed and the expected processing effect. It improves the usability and flexibility of the system, allowing users to personalize settings according to their specific needs. Users select the required shape accuracy and surface finish through the interface, and the system will automatically match the most appropriate processing parameter set. Improve data analysis and processing capabilities. After receiving the adjusted parameters, the actuator will perform detailed data analysis and processing to ensure the accuracy and completeness of the parameters; reduce errors that may occur during the processing and improve the quality of the final product; the system can automatically detect and correct errors in data transmission to ensure that the actuator always operates according to the correct parameters; The present invention can realize real-time monitoring and dynamic adjustment. It has the ability to continuously monitor the equipment operation status and processing process, and can dynamically adjust the processing parameters as needed; the real-time monitoring and dynamic adjustment capabilities improve the system's response speed to emergencies and further improve the processing efficiency; if a material defect or equipment abnormality is detected, the system can immediately adjust the parameters to avoid waste and damage; By making full use of historical data and experimental results, the present invention can determine the relative importance of different physical properties to the processing effect by analyzing the historical processing data and experimental results, and perform weight allocation and parameter adjustment; so that the system can learn and improve from past experience and continuously improve processing quality and efficiency; Accurately identify the material type and expected effect. The present invention can accurately identify the type of material to be processed and retrieve the best preset processing parameter set in the storage unit that matches the current material and expected effect; accurate matching ensures processing quality and reduces resource waste; the system accurately identifies the material type through high-precision sensors and automatically selects the most appropriate processing parameter set; The transmission efficiency of the output interface is improved. The present invention optimizes the transmission mechanism of the output interface to ensure that the adjusted processing parameters can be quickly and accurately transmitted to the actuator of the 3D hard gold processing equipment; this efficient data transmission improves the timeliness and accuracy of the processing operation; the system quickly transmits parameters through a high-speed interface to ensure that the actuator can be updated in real time and process according to the latest parameters.

[0032] Finally, it should be noted that the above is only a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, it is still possible for those skilled in the art to modify the technical solutions described in the aforementioned embodiments or to make equivalent substitutions for some of the technical features therein. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A control system for 3D hard gold processing equipment, characterized in that: include: a processing unit configured to receive data from sensors for collecting physical properties of the material to be processed, the sensors including a hardness sensor for measuring the hardness of the material, a thickness sensor for measuring the thickness of the material, and a composition analysis sensor for identifying the type of material; A storage unit, for storing preset processing parameter sets, each parameter set corresponding to a group of hard gold materials and expected processing effects; an algorithm module for performing weighted calculations to dynamically adjust parameters in the processing parameter set based on the physical characteristics, wherein the weighted calculations take into account the degree of influence of each physical characteristic on the processing effect and optimize the processing process accordingly; The output interface transmits the adjusted processing parameters to the actuator of the 3D hard gold processing equipment to control the processing operation.

2. A control system for 3D hard gold processing equipment according to claim 1, characterized in that: The algorithm module includes: A weight allocation unit is used to determine the relative importance of different physical properties to the processing effect based on historical processing data and experimental results; The parameter adjustment unit performs weighted averaging or weighted summing of the processing parameters according to the weights determined by the weight allocation unit to generate a final processing parameter value.

3. A control method for 3D hard gold processing equipment, the method adopts the system according to any one of claims 1-2, characterized in that: The steps include: S1, data collection, the processing unit receives data from the sensor, including hardness and thickness; S2, data storage, storing the collected data in a storage unit for subsequent use; S3, parameter set matching, selecting a corresponding preset processing parameter set from the storage unit according to the type of material to be processed and the expected processing effect; S4, weighted calculation, the algorithm module performs weighted calculation, determines the relative importance of different physical characteristics to the processing effect according to the degree of influence of each physical characteristic on the processing effect, and allocates weights according to historical processing data and experimental results to generate the final processing parameter value.

4. A control method for 3D hard gold processing equipment according to claim 3, characterized in that: The control method further comprises: S5, output interface transmission: the adjusted processing parameters are transmitted to the actuator of the 3D hard gold processing equipment through the output interface; S6. Control processing operation: The actuator controls the processing equipment to perform corresponding operations according to the received processing parameters to complete the processing of the material to be processed.

5. A control method for 3D hard gold processing equipment according to claim 4, characterized in that: Step S3 is specifically as follows: S31, identifying the material type, using the data of the component analysis sensor to identify the specific type of the material to be processed; S32, identifying the expected processing effect, and determining the expected processing effect according to user input or system preset, including surface finish and shape accuracy; S33, identifying and retrieving the storage unit: searching the storage unit for a preset processing parameter set that matches the type of material to be processed and the expected processing effect; S34, identifying and selecting the best matching parameter set: selecting a parameter set that best matches the current material and the expected effect from the retrieved multiple parameter sets; S35, output matching results: send the selected preset processing parameter set to the algorithm module for further weighted calculation and adjustment.

6. A control method for 3D hard gold processing equipment according to claim 4, characterized in that: In step S4, dynamically adjusting the parameters in the processing parameter set by weighted calculation specifically includes: 1) Equipment feed speed is calculated by weighting the material thickness and hardness. The basic equipment feed speed is multiplied by the weighted value to get the feed speed for the material. The expression is: S 进给速度 =S 基础速度 × ; In the formula, S 进给速度 is the feed speed for the material, S 基础速度 is the equipment foundation feed speed, the equipment foundation feed speed is 1mm / min, T is the material thickness, H is the material hardness, where as well as Collected from the data, The average thickness of 3D hard gold jewelry made of this material in the past; 2) Processing order: weighted calculation is performed based on material hardness, processing complexity, and the number of material types. The one with the highest weighted value has the highest priority. The expression is: P = w1 × H + w2 × C + w3 × N; Where P is the calculated priority value, H is the material hardness, C is the processing complexity, N is the number of material types, and w1, w2, and w3 are the weights of hardness, processing complexity, and number of material types, respectively.

7. A control method for 3D hard gold processing equipment according to claim 4, characterized in that: Step S5 is specifically as follows: S51, transmitting the adjusted parameters, transmitting the adjusted processing parameters to the actuator of the 3D hard gold processing equipment through the output interface, to ensure that the equipment can operate according to the optimized parameters; S52, data analysis and processing: after receiving the adjusted parameters, the actuator first analyzes and processes the data to ensure the accuracy and completeness of the parameters and avoid any errors; S53, actuator operation: according to the parsed parameters, the actuator starts to perform specific processing operations.

8. The control method for 3D hard gold processing equipment according to claim 4, characterized in that: Step S6 is specifically as follows: S61, the actuator first receives the adjusted processing parameters from the output interface; S62, the actuator parses the received parameters to ensure that each parameter is correctly understood and prepared for controlling the processing equipment; S63. Before starting processing, the actuator may need to calibrate the processing equipment according to the new parameters to ensure processing accuracy and efficiency; S64, after the calibration is completed, the actuator will start the processing equipment and start processing the material to be processed according to the analyzed parameters; S65. During the processing, the actuator will continuously monitor the operating status of the equipment and the processing process to ensure that everything is carried out according to the predetermined parameters.

9. The control method for 3D hard gold processing equipment according to claim 5, characterized in that: Step S3 also includes manual input, allowing the user to input or select the type of material to be processed and the expected processing effect, so that the system can more accurately match the preset processing parameter set.

Images