A control method and system for large rotor machining

Abstract

The present invention discloses a control method and system for large-scale rotor processing, and relates to the technical field of rotor processing and manufacturing. Specifically, the present invention discloses screening and classifying historical processing structure expression models to obtain a plurality of historical processing structure expression model sets, and configuring label factors for each historical processing structure expression model set. Based on matching the structure expression model to be processed with the label factors configured for different historical processing structure expression model sets, a matching historical processing structure expression model set is determined, and a historical processing structure expression model for reference is determined based on the matching of material information and the degree of matching between models. Based on the change recommendation vector of the historical processing structure expression model for reference, the driving parameters of the preset processing equipment are adjusted. The present invention realizes providing a correction scheme for the rotor processing driving parameters through the above technical scheme, and effectively improves the accuracy of rotor processing.

Description

Technical Field

[0001] The present invention relates to the technical field of rotor processing and manufacturing, and in particular to a control method and system for processing large rotors. Background Art

[0002] In the field of large rotor machining, high precision and high quality machining results are essential to ensure the performance and reliability of rotating machinery and equipment. With the advancement of technology, the machining requirements for large rotors such as turbine, generator and compressor rotors are becoming more and more stringent. These rotors usually have complex structures, are made of high-performance materials, and are huge in size. This requires the machining process to be highly accurate and repeatable.

[0003] Traditional rotor processing methods often rely on skilled technicians and rich experience, but these methods may be difficult to meet the modern industry's requirements for efficiency, consistency and processing accuracy. Therefore, there is an urgent need for a large rotor processing control method and system that can improve processing accuracy. Summary of the invention

[0004] The purpose of the present invention is to provide a large rotor machining control method and system capable of improving machining accuracy.

[0005] In order to achieve the above object, the present invention adopts the following technical solutions:

[0006] A control method for large rotor machining, comprising:

[0007] Obtain a historical rotor processing record data set of processing equipment of the same model, and analyze the historical rotor processing record data set to obtain a number of historical processing record data groups, wherein the historical processing record data groups include structural information, material information, driving parameters of the processing equipment, and finished product characteristics of the rotor after processing;

[0008] Based on the structural information in the historical processing record data group, a virtual rotor structure is constructed, and the range of the structural change block in the virtual rotor structure is delineated;

[0009] Obtaining the main component structure information of the processing equipment, and building a virtual equipment structure based on the main component structure, and adapting the virtual rotor structure to the virtual equipment structure to obtain a historical processing structure expression model;

[0010] The historical processing structure expression model is configured with a processing reference coordinate system, and the historical processing structure expression model is configured based on the driving parameters of the processing equipment in the historical processing data group, and the finished product characteristics after processing are expressed on the corresponding structural change block, and based on the finished product characteristics, the recommended vector of the driving parameter change is determined;

[0011] Based on the structural characteristics of the historical processing structure expression model and the driving parameters of the processing equipment, the historical processing structure expression model is screened and classified to obtain several historical processing structure expression model sets, and a label factor is configured for each historical processing structure expression model set;

[0012] Based on the structural information of the rotor to be processed and the driving parameters of the preset processing equipment, a structure expression model to be processed is constructed, and the structure expression model to be processed is matched with label factors configured in different historical processing structure expression model sets to determine a matching historical processing structure expression model set, and the historical processing structure expression model for reference is determined based on the matching of material information and the degree of matching between models;

[0013] Based on the change recommendation vector of the historical processing structure expression model used for reference, the driving parameters of the preset processing equipment are adjusted.

[0014] In some embodiments disclosed in the present invention, a method for defining a range of a structural change block in a virtual rotor structure includes:

[0015] Analyze the virtual rotor structure to determine the single structure block and the structure change block in the virtual rotor structure, wherein the single structure block includes the parallel section of the rotor side parallel to the axis direction and the plane area of ​​the rotor, and the structure change block includes the connection area between the rotor side and the plane area, the non-parallel section of the rotor side excluding the parallel section of the rotor side, and the non-plane area of ​​the non-rotor side;

[0016] Based on the type of the structural change block, the blocks within the preset range beside it are analyzed. If there are structural change blocks of the same type, the corresponding structural change blocks are merged.

[0017] In some embodiments disclosed in the present invention, a method for configuring a historical processing structure expression model based on driving parameters of processing equipment in a historical processing data group includes:

[0018] Extracting driving parameters of the processing equipment at different time nodes in the historical processing data group, and driving the feed change and posture change of the virtual tool module in the historical processing structure expression model based on the driving parameters at different time nodes, wherein the feed change and posture change are expressed as the change of the virtual tool module in the processing reference coordinate system;

[0019] Based on the feed change and posture change of the virtual tool module on the time axis, the structure of the virtual rotor structure in the historical machining structure expression model is adaptively adjusted.

[0020] In some embodiments disclosed in the present invention, the method for determining a recommended vector for a change in a driving parameter includes:

[0021] Analyze the features of the finished product, determine the abnormal problems of different structural change blocks, and determine the feed change abnormal vector or posture change abnormal vector of the tool based on the abnormal problems, where the feed change abnormal vector is the feed rate difference higher than the optimal value or the feed rate difference lower than the optimal value during the tool feed change process, and the posture change abnormal vector is the vector difference between the tool feed posture and the optimal posture;

[0022] Based on the abnormal feed change vector of the tool corresponding to the structural change block, a recommended change vector for correcting the feed change is determined, and based on the abnormal posture change vector of the tool, a recommended change vector for correcting the posture change is determined.

[0023] In some embodiments disclosed in the present invention, the method for screening and classifying the historical processing structure expression model includes:

[0024] Determine the main component structures of the virtual rotor structure in the historical processing structure expression model and the size of each main component structure to obtain a main component structure size group;

[0025] Clustering several main structural size groups according to the preset size difference, and based on the clustering results of the structural size groups, the historical processing structure expression model is first screened and classified;

[0026] The driving parameters of the processing equipment in each historical processing structure expression model are clustered in the time dimension and the position dimension, including a second screening and classification of the historical processing structure expression model according to the position difference of the tool position at the same time node in the historical processing structure expression model, to obtain several historical processing structure expression model sets.

[0027] In some embodiments disclosed in the present invention, the method of configuring label factors for each historical processing structure expression model set includes:

[0028] Analyze the historical processing structure expression model in each category group after the first screening and classification, determine the average size of each main component structure, and identify the average size of all main component structures as the first label factor;

[0029] The historical processing structure expression model in each category group after the first screening and classification is analyzed, and the time node for positioning the tool is determined based on the preset time node sequence, and the tool position coordinate sequence corresponding to each historical processing structure expression model is obtained. The average value of all tool position coordinate sequences is calculated to obtain the average tool position coordinate sequence, and the average tool position coordinate sequence is identified as the second label factor.

[0030] In some embodiments disclosed in the present invention, a method for determining a historical processing structure expression model for reference includes:

[0031] Obtain material information of the rotor to be processed, and select several historical processing structure expression models according to the matching degree of the material information;

[0032] Compare the processing structure expression model with the historical processing structure expression model, and construct a first matching operator between virtual rotor structures and a second matching operator between virtual equipment structures;

[0033] Based on the matching degree of material information, the first matching operator and the second matching operator, the matching degree between the to-be-processed structure expression model and the historical processing structure expression model is obtained; wherein, the expression for calculating the matching degree is:

[0034]

[0035] Among them, X is the corresponding value of the degree of conformity, δ is the material information matching degree judgment function, if the material information of the two belongs to the same material, then δ outputs 1, otherwise it outputs 0, K1 is the first degree of conformity adjustment coefficient, r i is the weight coefficient of the i-th structural section in the virtual rotor structure, β(i) is the difference judgment function of the i-th structural section in the virtual rotor structure, if the structural difference of the i-th structural section is less than or equal to the preset value, then β(i) outputs 1, otherwise it outputs 0, n is the number of all structural sections, b1 is the first conformity adjustment constant, K2 is the second conformity adjustment coefficient, ΔL t is the distance between the position coordinates of the tool at the tth time node, N is the number of time nodes, and b2 is the second conformity adjustment constant.

[0036] In some embodiments disclosed in the present invention, a control system for large rotor processing is also disclosed, including:

[0037] The first module is used to obtain the historical rotor processing record data set of the same type of processing equipment, and analyze the historical rotor processing record data set to obtain several historical processing record data groups, which include the structural information of the processed rotor, the material information, the driving parameters of the processing equipment and the finished product characteristics of the rotor after processing;

[0038] The second module is used to construct a virtual rotor structure based on the structural information in the historical processing record data group, and to define the range of the structural change block in the virtual rotor structure;

[0039] The third module is used to obtain the main component structure information of the processing equipment, and build a virtual equipment structure based on the main component structure, and adapt the virtual rotor structure to the virtual equipment structure to obtain a historical processing structure expression model, configure a processing reference coordinate system for the historical processing structure expression model, and configure the historical processing structure expression model based on the driving parameters of the processing equipment in the historical processing data group, and express it on the corresponding structural change block based on the finished product characteristics after processing, and determine the recommended vector of the driving parameter change based on the finished product characteristics;

[0040] The fourth module is used to screen and classify the historical processing structure expression models based on the structural characteristics of the historical processing structure expression models and the driving parameters of the processing equipment, obtain several historical processing structure expression model sets, and configure label factors for each historical processing structure expression model set;

[0041] The fifth module is used to construct an expression model of the structure to be processed based on the structural information of the rotor to be processed and the driving parameters of the preset processing equipment, and to match the expression model of the structure to be processed with the label factors configured by different historical processing structure expression model sets to determine a matching set of historical processing structure expression models, and to determine a historical processing structure expression model for reference based on the matching of material information and the degree of consistency between models, and to adjust the driving parameters of the preset processing equipment based on the change recommendation vector of the historical processing structure expression model for reference.

[0042] The present invention discloses a control method and system for large-scale rotor processing, and relates to the technical field of rotor processing and manufacturing. Specifically, the present invention discloses screening and classifying historical processing structure expression models to obtain a plurality of historical processing structure expression model sets, and configuring label factors for each historical processing structure expression model set. Based on matching the structure expression model to be processed with the label factors configured for different historical processing structure expression model sets, a matching historical processing structure expression model set is determined, and a historical processing structure expression model for reference is determined based on the matching of material information and the degree of matching between models. Based on the change recommendation vector of the historical processing structure expression model for reference, the driving parameters of the preset processing equipment are adjusted. The present invention realizes providing a correction scheme for the rotor processing driving parameters through the above technical scheme, and effectively improves the accuracy of rotor processing. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] Figure 1 The present invention provides a method step diagram for a control method for large rotor processing. DETAILED DESCRIPTION

[0044] The technical solutions in the embodiments of the present invention will be described clearly and completely below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments.

[0045] In order to achieve the above object, the present invention adopts the following technical solutions:

[0046] See also Figure 1 , a control method for large rotor machining, comprising:

[0047] Step S100, obtaining a historical rotor processing record data set of processing equipment of the same model, and analyzing the historical rotor processing record data set to obtain several historical processing record data groups, the historical processing record data groups including the structural information of the processed rotor, material information, driving parameters of the processing equipment and finished product characteristics of the rotor after processing.

[0048] This step involves collecting historical rotor processing record data sets of similar processing equipment; these records may include the structural information of the processed rotor, material information, driving parameters of the processing equipment, and the characteristics of the finished product after the rotor is processed; through detailed analysis of these data, a series of historical processing record data sets can be obtained, which will be used for subsequent model construction and parameter optimization.

[0049] Among them, the structural information can be the geometric shape and size of the rotor, including diameter and length; the material information can be the material type of the rotor, such as stainless steel, nickel-based alloy, titanium alloy, etc., the mechanical properties of the material, including tensile strength, yield strength, toughness, hardness, etc., and heat treatment status, such as annealing, quenching, tempering, etc.; the specific parameters of the processing equipment can be the parameters of the tool, including the type, diameter, length, cutting edge angle, etc. of the tool, and the cutting parameters during the processing process, such as spindle speed, feed speed, cutting depth, etc.

[0050] Step S200: construct a virtual rotor structure based on the structural information in the historical processing record data set, and define the range of the structural change block in the virtual rotor structure.

[0051] In this step, a virtual rotor structure can be constructed using computer-aided technology; this virtual model is a digital representation of the actual rotor structure, which allows engineers to study and analyze the structural changes of the rotor in a digital environment; the delineation of structural change blocks helps determine which areas require special attention during processing.

[0052] The practical computer-aided technology method can be used for rotor design using SolidWorks: a. Start the SolidWorks software and create a new part file. b. Use the sketch tool to draw the basic outline of the rotor. c. Use feature modeling tools such as extrusion, rotation, chamfering, etc. to build a three-dimensional model of the rotor. d. Add necessary details such as cooling channels, blade shapes, etc. e. Save the design file for subsequent analysis and use. Use Mastercam to generate tool paths: a. Import the rotor model designed in SolidWorks into Mastercam. b. Select appropriate tools and processing strategies, such as roughing, semi-finishing, and finishing. c. Set processing parameters such as spindle speed, feed rate, cutting depth, etc. d. Generate tool paths and simulate the processing process to verify the correctness of the tool paths. e. Generate NC code for actual machine tool processing. Through these computer-aided technologies, a digital model of the rotor can be built in a virtual environment, the structural changes of the rotor can be simulated, and problems that may occur during the processing can be predicted.

[0053] In some embodiments disclosed in the present invention, a method for defining a range of a structural change block in a virtual rotor structure includes:

[0054] Step S201, analyzing the virtual rotor structure to determine the single structure block and the structure change block in the virtual rotor structure, wherein the single structure block includes a parallel section of the rotor side parallel to the axial direction and a plane area of ​​the rotor, and the structure change block includes a connection area between the rotor side and the plane area, a non-parallel section of the rotor side excluding the parallel section of the rotor side, and a non-planar area of ​​the non-rotor side.

[0055] Step S202 : Based on the type of the structural change block, blocks within a preset range next to it are analyzed. If there are structural change blocks of the same type, the corresponding structural change blocks are merged.

[0056] Step S300, obtaining the main component structure information of the processing equipment, and constructing a virtual equipment structure based on the main component structure, and adapting the virtual rotor structure to the virtual equipment structure to obtain a historical processing structure expression model.

[0057] In this step, a comprehensive model representing the historical machining structure is implemented; this model is able to simulate the machining process of the rotor in the real equipment; the effect is to provide a simulation platform to test and optimize the machining parameters without affecting the actual production.

[0058] Step S400, configure a processing reference coordinate system for the historical processing structure expression model, and configure the historical processing structure expression model based on the driving parameters of the processing equipment in the historical processing data group, and express it on the corresponding structural change block based on the finished product characteristics after processing, and determine the recommended vector of the driving parameter change based on the finished product characteristics.

[0059] By configuring the machining reference coordinate system and drive parameters for the historical machining structure expression model, the actual machining process can be simulated; the performance of finished product features and the determination of recommended vectors for drive parameter changes provide direct guidance for optimizing machining parameters; the effect is that parameters can be predicted and adjusted based on historical data to achieve the desired finished product features.

[0060] In some embodiments disclosed in the present invention, a method for configuring a historical processing structure expression model based on driving parameters of processing equipment in a historical processing data group includes:

[0061] Step S401, extracting the driving parameters of the processing equipment in the historical processing data group at different time nodes, and driving the feed change and posture change of the virtual tool module in the historical processing structure expression model based on the driving parameters at different time nodes, wherein the feed change and posture change are expressed as changes in the virtual tool module in the processing reference coordinate system.

[0062] Step S402 : Based on the feed change and posture change of the virtual tool module on the time axis, the structure of the virtual rotor structure in the historical machining structure expression model is adaptively adjusted.

[0063] In some embodiments disclosed in the present invention, the method for determining a recommended vector for a change in a driving parameter includes:

[0064] Step S403, analyze the finished product features, determine the abnormal problems of different structural change blocks, and determine the feed change abnormal vector or posture change abnormal vector of the tool based on the abnormal problems, where the feed change abnormal vector is the feed rate difference that is higher than the optimal value or the feed rate difference that is lower than the optimal value during the tool feed change process, and the posture change abnormal vector is the vector difference between the tool feed posture and the optimal posture.

[0065] Step S404, determining a recommended change vector for correcting the feed change based on the abnormal feed change vector of the tool corresponding to the structure change block, and determining a recommended change vector for correcting the posture change based on the abnormal posture change vector of the tool.

[0066] Step S500, based on the structural features of the historical processing structure expression model and the driving parameters of the processing equipment, the historical processing structure expression model is screened and classified to obtain a plurality of historical processing structure expression model sets, and a label factor is configured for each historical processing structure expression model set.

[0067] Based on the structural features of the historical processing structure expression model and the driving parameters of the processing equipment, the models are screened and classified; this involves dividing the models into different sets, each set containing models with similar features and historical processing conditions. Label factors are configured for each set of historical processing structure expression models, and these labels will be used in the subsequent matching process.

[0068] In some embodiments disclosed in the present invention, the method for screening and classifying the historical processing structure expression model includes:

[0069] Step S501 , determining the main component structures of the virtual rotor structure in the historical processing structure expression model and the size of each main component structure to obtain a main component structure size group.

[0070] Identify the main components of the virtual rotor structure in the historical machining structure representation model; these main components are usually key geometric elements in the rotor, such as blades, journals, mortises, etc. For each main component, we measure its dimensions, including length, width, height, curvature, etc., to obtain a main component dimension group. These dimensions are critical to the function and performance of the rotor, so they need to be accurately controlled during the machining process.

[0071] Step S502 , clustering several main component structure size groups according to a preset size difference amount, and based on the clustering result of the structure size group, performing a first screening and classification on the historical processing structure expression model.

[0072] Several main component structure size groups are clustered using preset size differences. The purpose of clustering is to group main component structures with similar sizes, so as to classify the historical processing structure expression models according to size characteristics. This clustering method can help us identify rotor structures with similar size requirements during the processing process, so that the historical processing data of these structures can be classified into one category, which is convenient for subsequent analysis and parameter optimization. Based on the clustering results, we perform the first screening and classification of the historical processing structure expression models, and cluster the historical models with similar size characteristics together.

[0073] Step S503, clustering the driving parameters of the processing equipment in each historical processing structure expression model in the time dimension and the position dimension, including performing a second screening and classification of the historical processing structure expression model according to the position difference of the tool position at the same time node of the historical processing structure expression model, to obtain several historical processing structure expression model sets.

[0074] In some embodiments disclosed in the present invention, the method of configuring label factors for each historical processing structure expression model set includes:

[0075] Step S504 , analyzing the historical processing structure expression model in each category group after the first screening and classification, determining the average size of each main component structure, and identifying the average size of all main component structures as the first label factor.

[0076] Step S505, analyze the historical processing structure expression model in each category group after the first screening and classification, determine the time node for positioning the tool based on the preset time node sequence, obtain the tool position coordinate sequence corresponding to each historical processing structure expression model, and calculate the average value of all tool position coordinate sequences to obtain the average tool position coordinate sequence, and identify the average tool position coordinate sequence as the second label factor.

[0077] Step S600, based on the structural information of the rotor to be processed and the driving parameters of the preset processing equipment, construct an expression model of the structure to be processed, and match the expression model of the structure to be processed with label factors configured in different historical processing structure expression model sets to determine a matching set of historical processing structure expression models, and determine the historical processing structure expression model for reference based on the matching of material information and the degree of matching between models.

[0078] Based on the structural information of the rotor to be processed and the driving parameters of the preset processing equipment, a structural expression model of the to-be-processed structure is constructed; then, the to-be-processed model is matched with label factors configured with different historical processing structural expression model sets to determine the most consistent historical processing structural expression model set; based on the matching of material information and the degree of consistency between models, the historical processing structural expression model for reference is determined.

[0079] In some embodiments disclosed in the present invention, a method for determining a historical processing structure expression model for reference includes:

[0080] Step S601 , obtaining material information of a rotor to be processed, and selecting a number of historical processing structure expression models according to the matching degree of the material information.

[0081] Step S602 : Compare the processing structure expression model with the historical processing structure expression model to construct a first matching operator between virtual rotor structures and a second matching operator between virtual equipment structures.

[0082] Step S603: Based on the matching degree of the material information, the first matching operator and the second matching operator, the matching degree between the to-be-processed structure expression model and the historical processing structure expression model is obtained.

[0083] The expression for calculating the degree of conformity is:

[0084]

[0085] Among them, X is the corresponding value of the degree of conformity, δ is the material information matching degree judgment function, if the material information of the two belongs to the same material, then δ outputs 1, otherwise it outputs 0, K1 is the first degree of conformity adjustment coefficient, r i is the weight coefficient of the i-th structural section in the virtual rotor structure, β(i) is the difference judgment function of the i-th structural section in the virtual rotor structure, if the structural difference of the i-th structural section is less than or equal to the preset value, then β(i) outputs 1, otherwise it outputs 0, n is the number of all structural sections, b1 is the first conformity adjustment constant, K2 is the second conformity adjustment coefficient, ΔL t is the distance between the position coordinates of the tool at the tth time node, N is the number of time nodes, and b2 is the second conformity adjustment constant.

[0086] Step S700: adjusting the driving parameters of the preset processing equipment based on the change recommendation vector of the historical processing structure expression model used for reference.

[0087] Based on the recommended vector of changes in the historical processing structure expression model used for reference, the driving parameters of the preset processing equipment are adjusted; this is to optimize the parameter settings of the current processing task to improve processing efficiency and product quality; in this way, historical data and intelligent analysis are used to guide the actual production process and achieve the goal of intelligent manufacturing.

[0088] In some embodiments disclosed in the present invention, a control system for large rotor processing is also disclosed, including:

[0089] The first module is used to obtain the historical rotor processing record data set of the same model processing equipment, and analyze the historical rotor processing record data set to obtain several historical processing record data groups, which include the structural information of the processed rotor, material information, driving parameters of the processing equipment and the finished product characteristics of the rotor after processing.

[0090] The second module is used to construct a virtual rotor structure based on the structural information in the historical processing record data group, and to define the range of the structural change block in the virtual rotor structure.

[0091] The third module is used to obtain the main component structure information of the processing equipment, and build a virtual equipment structure based on the main component structure, and adapt the virtual rotor structure to the virtual equipment structure to obtain the historical processing structure expression model, configure the processing reference coordinate system for the historical processing structure expression model, and configure the historical processing structure expression model based on the driving parameters of the processing equipment in the historical processing data group, and express it on the corresponding structural change block based on the finished product characteristics after processing, and determine the recommended vector for the change of the driving parameters based on the finished product characteristics.

[0092] The fourth module is used to screen and classify the historical processing structure expression models based on the structural characteristics of the historical processing structure expression models and the driving parameters of the processing equipment, obtain several historical processing structure expression model sets, and configure label factors for each historical processing structure expression model set.

[0093] The fifth module is used to construct an expression model of the structure to be processed based on the structural information of the rotor to be processed and the driving parameters of the preset processing equipment, and to match the expression model of the structure to be processed with the label factors configured by different historical processing structure expression model sets to determine a matching set of historical processing structure expression models, and to determine a historical processing structure expression model for reference based on the matching of material information and the degree of consistency between models, and to adjust the driving parameters of the preset processing equipment based on the change recommendation vector of the historical processing structure expression model for reference.

[0094] The present invention discloses a control method and system for large-scale rotor processing, and relates to the technical field of rotor processing and manufacturing. Specifically, the present invention discloses screening and classifying historical processing structure expression models to obtain a plurality of historical processing structure expression model sets, and configuring label factors for each historical processing structure expression model set. Based on matching the structure expression model to be processed with the label factors configured for different historical processing structure expression model sets, a matching historical processing structure expression model set is determined, and a historical processing structure expression model for reference is determined based on the matching of material information and the degree of matching between models. Based on the change recommendation vector of the historical processing structure expression model for reference, the driving parameters of the preset processing equipment are adjusted. The present invention realizes providing a correction scheme for the rotor processing driving parameters through the above technical scheme, and effectively improves the accuracy of rotor processing.

[0095] The above description is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can make equivalent replacements or changes according to the technical scheme and inventive concept of the present invention within the technical scope disclosed by the present invention, which should be covered by the protection scope of the present invention.

Claims

1. A control method for large rotor processing, characterized in that: include: Obtain a historical rotor processing record data set of processing equipment of the same model, and analyze the historical rotor processing record data set to obtain a number of historical processing record data groups, wherein the historical processing record data groups include structural information, material information, driving parameters of the processing equipment, and finished product characteristics of the rotor after processing; Based on the structural information in the historical processing record data group, a virtual rotor structure is constructed, and the range of the structural change block in the virtual rotor structure is delineated; Obtaining the main component structure information of the processing equipment, and building a virtual equipment structure based on the main component structure, and adapting the virtual rotor structure to the virtual equipment structure to obtain a historical processing structure expression model; The historical processing structure expression model is configured with a processing reference coordinate system, and the historical processing structure expression model is configured based on the driving parameters of the processing equipment in the historical processing data group, and the finished product characteristics after processing are expressed on the corresponding structural change block, and based on the finished product characteristics, the recommended vector of the driving parameter change is determined; Based on the structural characteristics of the historical processing structure expression model and the driving parameters of the processing equipment, the historical processing structure expression model is screened and classified to obtain several historical processing structure expression model sets, and a label factor is configured for each historical processing structure expression model set; Based on the structural information of the rotor to be processed and the driving parameters of the preset processing equipment, a structure expression model to be processed is constructed, and the structure expression model to be processed is matched with label factors configured in different historical processing structure expression model sets to determine a matching historical processing structure expression model set, and the historical processing structure expression model for reference is determined based on the matching of material information and the degree of matching between models; Adjust the driving parameters of the preset processing equipment based on the change recommendation vector of the historical processing structure expression model used for reference; The method for defining the scope of the structural change block in the virtual rotor structure includes: Analyze the virtual rotor structure to determine the single structure block and the structure change block in the virtual rotor structure, wherein the single structure block includes the parallel section of the rotor side parallel to the axis direction and the plane area of ​​the rotor, and the structure change block includes the connection area between the rotor side and the plane area, the non-parallel section of the rotor side excluding the parallel section of the rotor side, and the non-plane area of ​​the non-rotor side; Based on the type of the structural change block, the blocks within the preset range beside it are analyzed. If there are structural change blocks of the same type, the corresponding structural change blocks are merged.

2. A control method for large rotor machining according to claim 1, characterized in that: The method for configuring the historical processing structure expression model based on the driving parameters of the processing equipment in the historical processing data group includes: Extracting driving parameters of the processing equipment at different time nodes in the historical processing data group, and driving the feed change and posture change of the virtual tool module in the historical processing structure expression model based on the driving parameters at different time nodes, wherein the feed change and posture change are expressed as the change of the virtual tool module in the processing reference coordinate system; Based on the feed change and posture change of the virtual tool module on the time axis, the structure of the virtual rotor structure in the historical machining structure expression model is adaptively adjusted.

3. A control method for large rotor machining according to claim 1, characterized in that: The method of determining the recommended vector for the change of the driving parameters includes: Analyze the features of the finished product, determine the abnormal problems of different structural change blocks, and determine the feed change abnormal vector or posture change abnormal vector of the tool based on the abnormal problems, where the feed change abnormal vector is the feed rate difference higher than the optimal value or the feed rate difference lower than the optimal value during the tool feed change process, and the posture change abnormal vector is the vector difference between the tool feed posture and the optimal posture; Based on the abnormal feed change vector of the tool corresponding to the structural change block, a recommended change vector for correcting the feed change is determined, and based on the abnormal posture change vector of the tool, a recommended change vector for correcting the posture change is determined.

4. A control method for large rotor machining according to claim 1, characterized in that: Methods for screening and classifying historical processing structure expression models include: Determine the main component structures of the virtual rotor structure in the historical processing structure expression model and the size of each main component structure to obtain a main component structure size group; Clustering several main structural size groups according to the preset size difference, and based on the clustering results of the structural size groups, the historical processing structure expression model is first screened and classified; The driving parameters of the processing equipment in each historical processing structure expression model are clustered in the time dimension and the position dimension, including a second screening and classification of the historical processing structure expression model according to the position difference of the tool position at the same time node in the historical processing structure expression model, to obtain several historical processing structure expression model sets.

5. A control method for large rotor machining according to claim 4, characterized in that: Methods for configuring label factors for each historical processing structure expression model set include: Analyze the historical processing structure expression model in each category group after the first screening and classification, determine the average size of each main component structure, and identify the average size of all main component structures as the first label factor; The historical processing structure expression model in each category group after the first screening and classification is analyzed, and the time node for positioning the tool is determined based on the preset time node sequence, and the tool position coordinate sequence corresponding to each historical processing structure expression model is obtained. The average value of all tool position coordinate sequences is calculated to obtain the average tool position coordinate sequence, and the average tool position coordinate sequence is identified as the second label factor.

6. A control method for large rotor machining according to claim 1, characterized in that: Methods for determining a historical processing structure representation model for reference include: Obtain material information of the rotor to be processed, and select several historical processing structure expression models according to the matching degree of the material information; Compare the processing structure expression model with the historical processing structure expression model, and construct a first matching operator between virtual rotor structures and a second matching operator between virtual equipment structures; Based on the matching degree of the material information, the first matching operator and the second matching operator, the matching degree between the to-be-processed structure expression model and the historical processing structure expression model is obtained; The expression for calculating the degree of conformity is: Among them, X is the corresponding value of the degree of conformity, δ is the material information matching degree judgment function, if the material information of the two belongs to the same material, then δ outputs 1, otherwise it outputs 0, K1 is the first degree of conformity adjustment coefficient, r i is the weight coefficient of the i-th structural section in the virtual rotor structure, β(i) is the difference judgment function of the i-th structural section in the virtual rotor structure, if the structural difference of the i-th structural section is less than or equal to the preset value, then β(i) outputs 1, otherwise it outputs 0, n is the number of all structural sections, b1 is the first conformity adjustment constant, K2 is the second conformity adjustment coefficient, ΔL t is the distance between the position coordinates of the tool at the tth time node, N is the number of time nodes, and b2 is the second conformity adjustment constant.

7. A control system for large rotor processing, characterized in that: A control method for executing any one of claims 1 to 6, comprising: The first module is used to obtain the historical rotor processing record data set of the same type of processing equipment, and analyze the historical rotor processing record data set to obtain several historical processing record data groups, which include the structural information of the processed rotor, the material information, the driving parameters of the processing equipment and the finished product characteristics of the rotor after processing; The second module is used to construct a virtual rotor structure based on the structural information in the historical processing record data group, and to define the range of the structural change block in the virtual rotor structure; The third module is used to obtain the main component structure information of the processing equipment, and build a virtual equipment structure based on the main component structure, and adapt the virtual rotor structure to the virtual equipment structure to obtain a historical processing structure expression model, configure a processing reference coordinate system for the historical processing structure expression model, and configure the historical processing structure expression model based on the driving parameters of the processing equipment in the historical processing data group, and express it on the corresponding structural change block based on the finished product characteristics after processing, and determine the recommended vector of the driving parameter change based on the finished product characteristics; The fourth module is used to screen and classify the historical processing structure expression models based on the structural characteristics of the historical processing structure expression models and the driving parameters of the processing equipment, obtain several historical processing structure expression model sets, and configure label factors for each historical processing structure expression model set; The fifth module is used to construct an expression model of the structure to be processed based on the structural information of the rotor to be processed and the driving parameters of the preset processing equipment, and to match the expression model of the structure to be processed with the label factors configured by different historical processing structure expression model sets to determine a matching set of historical processing structure expression models, and to determine a historical processing structure expression model for reference based on the matching of material information and the degree of consistency between models, and to adjust the driving parameters of the preset processing equipment based on the change recommendation vector of the historical processing structure expression model for reference.

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