Shaft cutting head efficient design method and system

Abstract

This invention provides an efficient design method and system for vertical shaft cutting heads, belonging to the technical field of underground coal mine transportation equipment. It includes a modeling and simulation module, a data processing module, and an auxiliary module. The modeling and simulation module generates a parameterized cutting head model based on input parameters and performs mesh generation, configuring the boundary conditions and control parameters required for simulation and conducting fluid-structure interaction simulation. The data processing module automatically extracts slag discharge indicators from the simulation results, completing the slag discharge performance analysis of the parameterized cutting head model. The auxiliary module establishes a working condition-performance-scheme template database and filters scheme templates according to actual working conditions, assisting in scheme integration and local fine-tuning, thereby improving design efficiency. This invention achieves fully automated and modular design, significantly reducing manual workload and solving the technical problems of low modeling efficiency, repetitive parameter settings, and cumbersome data processing in existing cutting head designs.

Description

Technical Field

[0001] This invention belongs to the technical field of underground coal mine transportation equipment, specifically relating to a high-efficiency design method and system for a vertical shaft cutting head. Background Technology

[0002] In vertical shaft excavation, the cutting head, as a key component for rock breaking and muck removal, directly affects the muck removal capacity and excavation efficiency through its structural design. Currently, vertical shaft cutting heads primarily use a front grating plate for muck intake, with a suction pump at the muck outlet to extract mud and slag. Several flushing ports are also located at key positions to assist in muck removal using high-pressure water jets. However, due to the complex and variable muck intake conditions and limited design experience, muck removal problems frequently occur in actual projects, leading to muck accumulation in the muck bin and affecting subsequent excavation and stable equipment operation. Therefore, how to rationally arrange the flushing ports and optimize the cutting head structure to improve muck removal efficiency has become a pressing technical challenge.

[0003] Currently, the main engineering practice adopts a three-step method for cutting head structure design: "manual modeling - software simulation - data analysis". The main process of this method is as follows: First, the designers manually create a three-dimensional model of the cutting head using traditional CAD tools based on construction experience or site conditions; then, the geometric model is imported into CFD software and coupled with discrete element simulation software for simulation to simulate the two-phase flow characteristics of mud and gravel in the scouring channel; finally, based on the results such as slag discharge rate, outlet velocity, and mud velocity, the slag discharge performance of the cutting head structure is calculated, and the final determination is made as to whether the cutting head structure should be applied.

[0004] Currently, the structural design verification process for vertical shaft cutting heads relies heavily on manual labor, with each key step requiring manual operation, resulting in low efficiency. On one hand, steps such as 3D modeling, parameter setting, and simulation boundary condition configuration all require designers to complete them one by one, lacking automated and modular modeling mechanisms, leading to a high degree of repetitive work throughout the process. Especially during structural optimization, even adjusting only some parameters requires designers to reset all parameters, affecting settings that didn't need changing, increasing unnecessary workload, and hindering high-frequency, multi-batch design tasks. On the other hand, the recording and analysis of simulation results also heavily depends on manual processing. Designers often need to read simulation output data point by point and manually record key physical quantities (such as velocity fields, particle trajectories, and packing conditions), summarizing the results before analysis and comparison. This discrete and fragmented process is cumbersome and lengthy, severely impacting the efficiency of cutting head structural design optimization.

[0005] In summary, while the widely adopted three-step method of "manual modeling - software simulation - data analysis" has certain engineering applicability, the design optimization process is still human-driven and has not yet formed an efficient integrated process of structural modeling, parameter transfer, simulation execution and result analysis. This results in long evaluation cycles for new structural schemes, low analysis efficiency, and large resource input, making it difficult to meet the needs of rapid structural design and efficient performance optimization of shaft cutting heads under complex conditions. Summary of the Invention

[0006] To address the aforementioned technical problems, this invention proposes an efficient design method for shaft cutting heads. This method uses Python as the core development platform and establishes a modular and automated design verification process encompassing structural modeling, software simulation, and data processing. The method mainly consists of three parts: a modeling and simulation module, a data processing module, and auxiliary modules including a historical results retrieval module, a simulation image output module, and a scheme template management module.

[0007] This invention's automatic modeling and simulation verification module supports users in batch importing structural parameters using standard formats such as Excel, automatically completing 3D modeling, mesh generation, and simulation calls. This significantly reduces manual operations and avoids the problem of repetitive parameter input and settings in traditional manual operations. The entire modeling and simulation process can be automatically executed under script control, improving the efficiency of cutting head design verification and making it suitable for rapid performance screening of vertical shaft cutting head structures under complex working conditions.

[0008] After simulation, this invention automatically extracts and stores key slag discharge indicators, such as slag discharge volume, outlet velocity, and mud velocity, through a result recording and data analysis module. Based on a built-in weighted multi-objective performance scoring model, it automatically performs quantitative evaluation of the cutting head structure, achieving automatic assessment and recording of simulation results, significantly shortening the performance evaluation and verification time for the cutting head. Furthermore, this invention supplements the results with auxiliary functions such as historical result retrieval, visual image output, and optimal template management, further improving the intuitiveness and reusability of the results and providing efficient and intelligent technical support for the design verification of the cutting head structure.

[0009] This invention proposes an efficient design method for a vertical shaft cutting head, comprising the following steps:

[0010] S1. Determine multiple working conditions of the vertical shaft cutting head. Each working condition corresponds to multiple sets of structural parameters of the vertical shaft cutting head. Using the Python language framework, establish a corresponding parametric cutting head model in combination with a set of structural parameters. Mesh the model, configure the boundary conditions and control parameters required for simulation, perform fluid-structure interaction simulation and output the simulation results. The simulation results include the actual values ​​of the model's slag discharge index.

[0011] S2. Calculate the slag discharge performance of the parameterized cutting head model by combining the actual value of the slag discharge index with the preset target value. Compare the obtained slag discharge performance with the preset slag discharge performance threshold. If the obtained slag discharge performance is not less than the preset slag discharge performance threshold, record the set of structural parameters as a scheme template and bind the slag discharge performance. Otherwise, discard the set of structural parameters and the corresponding parameterized cutting head model.

[0012] S3. Change the structural parameters in S1, perform multiple rounds of parametric modeling, simulation and performance analysis of the cutting head structure, obtain multiple scheme templates that bind slag discharge performance, and then combine them with the corresponding working conditions to establish a working condition-performance-scheme template database.

[0013] S4. When it is necessary to design the cutting head structure, the database established in S3 is used to filter according to the target working conditions and target performance. If there is a scheme template that meets both the target working conditions and target slag discharge performance requirements, the scheme template is directly called for production; otherwise, the trained neural network model is used to filter the scheme template most likely to meet the requirements in the database, and local fine-tuning is performed on the basis of the scheme template to realize the design of the cutting head structure.

[0014] Furthermore, the cutting head structure includes a roller, a grating plate, a slag collection bin, and a slag discharge port; the roller is located at the center of the cutting head and achieves cutting and crushing of rocks or soil through high-speed rotation; the grating plate is installed obliquely in front of the roller to intercept larger pieces of slag generated during the cutting process; the slag collection bin is fixed below the grating plate, arranged using the space between the roller and the grating plate, and the slag collection bin is closely connected to the grating plate to receive the slag intercepted by the grating plate in a timely manner; the slag discharge port is located on the side of the slag collection bin and is externally connected to a negative pressure suction device to continuously discharge the slag from the system; a flushing port is provided on the upper part of the grating plate to spray high-pressure water to assist in the discharge of slag.

[0015] Furthermore, the structural parameters in step S1 include the overall dimensions of the cutting head structure model, the dimensions of the grid plate, and the dimensions of the pipeline.

[0016] Further, step S2 includes:

[0017] S21. Extract the volumetric flow rate of the slag outlet from the simulation results. Average particle exit velocity and mud speed The actual values ​​of the three slag discharge indicators are recorded in a structured format and bound to the parameterized cutting head model.

[0018] S22. Call the actual values ​​of the three slag discharge indicators extracted in S21, calculate the performance corresponding to each slag discharge indicator, and then obtain the slag discharge performance of the parameterized cutting head model by weighted superposition.

[0019] S23. Calculate the slag discharge performance of the parameterized cutting head model. Compared with the preset slag discharge performance threshold, if the slag discharge performance of the parameterized cutting head model is... If the parameterized cutting head model's structural parameters are greater than or equal to the preset slag discharge performance threshold, then the parameterized cutting head model's structural parameters are recorded as a scheme template and bound to the slag discharge performance; otherwise, the parameterized cutting head model is discarded, and its corresponding structural parameters are not included in the scheme template.

[0020] Furthermore, the performance corresponding to each of the slag discharge indicators satisfies a linear penalty function.

[0021] The present invention also provides a system for implementing the aforementioned efficient design method for shaft cutting heads, comprising the following modules:

[0022] The modeling and simulation module is used to automatically create a 3D model of the cutting head structure and generate a mesh, and to configure the boundary conditions and control parameters required for fluid-structure interaction simulation.

[0023] The data processing module is built around the acquisition and analysis of simulation data of the parameterized cutting head model. It is used to extract slag discharge indicators from the simulation results and complete the slag discharge performance calculation of the parameterized cutting head model.

[0024] The auxiliary module is used to establish a database of working conditions, performance, and scheme templates for the cutting head structure, select scheme templates that meet the performance requirements based on the target working conditions and target slag discharge performance, and generate images from the simulation results.

[0025] The modeling and simulation module, data processing module, and auxiliary module are controlled by Python scripts.

[0026] Compared with the prior art, the present invention has the following features and advantages:

[0027] (1) A parametric modeling system suitable for vertical shaft cutting heads has been established, which supports the automatic generation of various structural combination models through scripts, and realizes flexible modeling and adjustment of key components of the cutting head (roller, grid plate, slag bin, slag discharge port, flushing port, etc.).

[0028] (2) An automatic modeling and simulation integration process based on Python script control is proposed, and a fully automated design method is constructed from structural parameter import, model network construction, simulation settings to simulation execution.

[0029] (3) A simulation data recording and archiving mechanism has been established, which can automatically extract key slag discharge indicators, including slag outlet volume flow rate, average particle outlet velocity and mud velocity, and realize standardized storage and structural binding of simulation results.

[0030] (4) An automated verification process with a high degree of integration between the modeling and simulation module and the data processing module was constructed. Through parameter-driven and script-controlled methods, the entire process from 3D modeling and mesh generation to simulation settings and result extraction was automatically executed, avoiding the problem of repetitive manual operations in each step of the traditional process, greatly improving efficiency and reducing design cycle and labor costs.

[0031] (5) A unified data recording and performance analysis system has been established. The system can automatically extract slag discharge indicators (slag outlet volumetric flow rate) from the simulation. Average particle exit velocity Mud speed This method, along with a quantitative analysis of the slag discharge performance of the cutting head structure, offers greater consistency and objectivity compared to traditional experience-based methods. It facilitates rapid selection of superior structural solutions and enhances the scientific rigor and reliability of structural optimization.

[0032] (6) Several auxiliary function modules were designed, including a historical parameter retrieval module, a simulation image automatic output module, and an optimal structure template management module, which enhanced the reusability and visualization capabilities of the system. The historical parameter retrieval module can establish a database of working conditions, performance, and scheme templates for the cutting head structure; the simulation image automatic output module enables intuitive display and comparison of simulation results; and the scheme template management module can automatically identify scheme templates that meet the target slag discharge performance according to working conditions, facilitating rapid subsequent retrieval and iterative application. The above functions enable intuitive analysis, reuse, and inheritance of simulation results, jointly constructing a closed-loop design-simulation-application process and improving the intelligence level of the cutting head design system. Attached Figure Description

[0033] Figure 1 A structural diagram of the cutting head for parametric automatic modeling;

[0034] Figure 2 Flowchart of the automated design and verification method for cutting heads;

[0035] Figure 3 This is a submodule for defining structural parameters and input normalization.

[0036] Figure 4 Set up and call sub-modules for the automatic simulation process.

[0037] In the diagram, 1-drum, 2-grating plate, 3-slag bin, 4-slag discharge port, 5-flushing port. Detailed Implementation

[0038] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of the present invention.

[0039] This invention provides a method and system for the efficient design of vertical shaft cutting heads, such as... Figure 2 As shown, the design process of this invention is driven by structural parameters and uses automatic scripts as the core control means, realizing integrated control of the entire process from parameter input, modeling and network construction, simulation settings to result extraction; data is transferred between modules through standardized interfaces, avoiding manual intervention and repetitive configuration, and realizing a high degree of automation of the structural design verification process.

[0040] like Figure 1 As shown, serving the construction of vertical shaft excavation, this invention first designs a cutting head structure that can be parameterized and automatically modeled, which is mainly composed of five core components: roller 1, grid plate 2, slag bin 3, slag discharge port 4, and flushing port 5.

[0041] The drum 1, located at the center of the cutting head, is the core component of the entire cutting head. It cuts and crushes rock or soil through high-speed rotation. The rotation axis of the drum 1 is typically parallel to or at an angle to the axis of the shaft to accommodate different cutting requirements. A grating plate 2 is installed at an angle in front of the drum 1 to intercept larger pieces of slag generated during the cutting process, thus protecting the slag discharge pipe. A slag collection bin 3 is fixed below the grating plate 2, utilizing the space between the drum 1 and the grating plate 2, and is tightly connected to the grating plate 2 to promptly receive the slag intercepted by the grating plate 2. A slag discharge port 4 is located on the side of the slag collection bin 3 and is connected to an external negative pressure suction device to continuously discharge slag from the system. A flushing port 5 is provided on the upper part of the grating plate 2 to spray high-pressure water to assist in the discharge of slag and also helps to reduce the temperature of the drum during operation.

[0042] The slag discharge process of this cutting head structure is as follows: First, the drum 1, during rock breaking, carries the generated slag along the rotation direction into the front space of the cutting head. After the slag is screened by the grid plate 2 to remove large pieces of stone, it falls into the slag collection bin 3 below. Subsequently, a negative pressure suction device connected to the slag discharge port 4 extracts the mixed slag and slurry from the system. During this process, the flushing port 5 sprays high-pressure water directionally into the slag collection bin 3 to disperse any slag particles that may be deposited at the bottom of the bin 3, facilitating their smooth entry into the slag discharge path. Through the above structural design and process organization, the continuity, smoothness, and controllability of the slag from crushing to cleaning are effectively ensured, which is the fundamental guarantee for the operating efficiency of the cutting head.

[0043] Based on the above structural design, this invention constructs an integrated automated design process consisting of three interconnected modules: a modeling and simulation module, a data processing module, and an auxiliary module. This provides the following efficient design method for vertical shaft cutting heads: The modeling and simulation module, based on the Python language framework, integrates geometric modeling, physical field simulation, and script control capabilities. It automatically completes the establishment and mesh generation of the 3D model of the cutting head based on the input structural parameters, configures the boundary conditions and control parameters required for simulation, and then calls external simulation software to complete the fluid-structure interaction simulation of the parameterized cutting head model and outputs the simulation results. Specifically, the modeling and simulation module is used to implement steps S11-S13:

[0044] S11. Structural Parameter Definition and Input Normalization

[0045] Based on engineering experience, multiple sets of structural parameters for the cutting head structure under various working conditions were determined. All of these structural parameters are within reasonable value ranges for conventional applications. Figure 3 As shown, through the parameter template interface preset by the geometric modeling module, the structural parameters of the cutting head can be manually entered or imported in batches through standard format files such as Excel and CSV. Adjustable parameters include, but are not limited to, overall dimensions, grid dimensions, and slurry inlet and outlet pipe dimensions. All input parameters are standardized and stored as structural parameters generated by the parametric cutting head model.

[0046] S12. Automatic Modeling Script Generation and Execution

[0047] Based on the parametrically automatically modelable cut-head structure, the automatic modeling script built into the script control module performs parametric modeling on a set of basic structural parameters of S11. The automatic modeling script automatically calls the geometric modeling module interface according to the basic structural parameters to quickly generate a 3D model of the cut-head structure as a parametric cut-head model. Subsequently, the mesh generation process is automatically completed. At the same time, the naming, boundary identification, and component layering of the parametric cut-head model structure are standardized to ensure the uniformity and compatibility of subsequent simulation and analysis processes.

[0048] S13. Automatic Simulation Process Setup and Invocation

[0049] like Figure 4 As shown, after the model is built, the physical field simulation module automatically calls computational fluid dynamics (CFD) and discrete element method (DEM) simulation software to perform fluid-structure interaction simulation. According to the actual working conditions, the script calls the naming, boundary identification, component layering and other functions after S22 normalization to set the computational physical model, boundary conditions (such as inlet flow rate, particle size, particle velocity, etc.), initial conditions and simulation duration, etc., and automatically schedules the simulation process to output the simulation results. The simulation results include the actual values ​​of the slag discharge index of the parameterized cutting head model.

[0050] The physics simulation module has a pre-set post-processing template and can independently define the output location and name of simulation results, ensuring smooth data flow and realizing full-chain automation of "model-calculation-result".

[0051] Specifically, the modeling and simulation module solves the problems of cumbersome modeling and simulation processes, repetitive parameter configuration, and low efficiency in the traditional cutting head structure design. It can realize one-click design of multi-parameter structural schemes without relying on manual operation.

[0052] The main function of the data processing module revolves around the acquisition, analysis, and archiving of simulation data from the parametric cut-head model, aiming to solve problems such as manual data extraction, fragmented analysis, and reliance on experience in decision-making in traditional methods. The data processing module is used to implement steps S21-S23:

[0053] S21. Simulation result data extraction and standardized storage

[0054] After the simulation is completed, the actual values ​​of three slag discharge indicators—fragment outlet flow rate, average particle outlet velocity, and slurry velocity—are automatically extracted. , and The data are recorded in a structured format in the database. The simulation data for each set of slag discharge indicators are automatically tagged in the form of "structure ID + timestamp + parameter combination" and bound to the parameterized cutting head model for easy subsequent retrieval and comparison.

[0055] S22. Construction of Multi-Objective Structural Performance Analysis Model

[0056] Determine the target value of the slag outlet volumetric flow rate based on the operating conditions. Target value of average particle exit velocity and mud velocity target value The performance corresponding to the i-th slag discharge index among the three slag discharge indicators Calculated using the following function:

[0057]

[0058] in, Let i be the actual value of the i-th indicator. Let i be the target values ​​for the i indicators. Let be the weighting coefficient for the performance corresponding to the i-th indicator. The slag discharge performance of the parameterized cutting head model is obtained through weighted summation. And store. To adapt to optimization needs under different operating conditions, manual adjustment of weight coefficients is supported.

[0059] S23, the obtained slag discharge performance Compared with the preset slag discharge performance threshold, if the slag discharge performance of the parameterized cutting head model is... If the slag discharge performance threshold is greater than or equal to the preset threshold, the structural parameters of the parameterized cutting head model are recorded as a scheme template and bound to the slag discharge performance; otherwise, the parameterized cutting head model is discarded and not included in the scheme template. To achieve a complete design closed loop, this invention also includes auxiliary function modules, comprising three main sub-modules: a historical result retrieval module, a simulation image output module, and a scheme template management module. These modules, based on automatic modeling, simulation, and data analysis, provide further efficiency improvements and engineering reuse capabilities for actual design. The historical result retrieval module and the scheme template management module are used to implement the following steps:

[0060] S3. Change the structural parameters and perform multiple rounds of parametric modeling, simulation and performance analysis of the cutting head structure. The historical result recall module automatically records the working conditions, input structural parameters and slag discharge performance of each cutting head structure modeling, and builds a working condition-performance-scheme template database.

[0061] S4. When designing a cutting head structure, the scheme template management module first searches and filters the working condition-performance-scheme template database based on the target working condition and target slag discharge performance. If a scheme template exists in the database that simultaneously meets the requirements of the target working condition and target slag discharge performance, the corresponding scheme template is directly called to produce the cutting head structure. If no scheme template meets the requirements in the database, a pre-trained neural network model is called to predict and optimize the matching degree of the candidate scheme templates in the database, and the scheme template most likely to meet the requirements of the target working condition and target slag discharge performance is selected as the initial design template for the cutting head structure to be designed.

[0062] The neural network model is used to establish a nonlinear mapping relationship between working condition characteristics, slag discharge performance, and scheme templates. The neural network model can adopt a multi-layer feedforward neural network architecture including an input layer, hidden layers, and an output layer. Input features include at least geological properties, cutting object characteristics, operating environment parameters, target slag discharge volume, slag discharge efficiency, and stability indicators. Output results are the adaptation score, matching probability, or optimal ranking result for each candidate scheme template. The training dataset consists of historical cutting head design cases, numerical simulation data, experimental test data, and actual engineering application data, and is stored and labeled according to the data structure of "working condition characteristics - slag discharge performance - scheme template - applicability evaluation". During training, a supervised learning method is used, with the applicability results of the scheme template under known working conditions as label data, and the network parameters are iteratively updated through an error backpropagation algorithm.

[0063] Furthermore, the automatic simulation image output module can call up various modeling simulations and data processing records, including those from actual designs. Through the post-processing function of the integrated simulation software, it can automatically generate images of key features such as velocity cloud maps, particle flow paths, and changes in accumulation areas. It can also save these images as animations or static images to show the changing trends under different structural parameters. This facilitates result reporting, performance analysis, and intuitive comparison of multiple schemes, and provides assistance for subsequent related applications.

[0064] Based on the same inventive concept, the present invention also provides a high-efficiency design system for a vertical shaft cutting head, comprising:

[0065] The modeling and simulation module includes a geometric modeling module, a physics simulation module, and a script control module. The geometric modeling module and the script control module are used to automatically complete the creation of the three-dimensional model of the cutting head and the mesh generation based on the input structural parameters. The physics simulation module is used to configure the boundary conditions and control parameters required for simulation and call external simulation software to complete the fluid-structure interaction simulation of the cutting head structural model.

[0066] The data processing module is used to automatically extract slag discharge indicators from simulation results, complete the slag discharge performance calculation of the parameterized cutting head model, and perform unified recording and archiving.

[0067] The auxiliary module includes a historical result retrieval module, a simulation image output module, and an optimal structure template management module. The historical result retrieval module records the structural parameters and simulation process input each time and establishes a working condition-performance-scheme template database for the cutting head structure. The scheme template management module filters out scheme templates that meet (or are most likely to meet) the requirements from the working condition-performance-scheme template database based on the target working condition and target slag discharge performance. The simulation image output module automatically generates images of the key features of each simulation result.

[0068] To accommodate multiple rounds of design and parameter comparison, the platform supports functions such as parameter import error verification, format compatibility detection, and batch process submission, making it convenient for systematic engineering use.

[0069] Through the above three modules, this invention constructs a complete technical system covering structural modeling, simulation calculation, result analysis, and design optimization, realizing a leap from "manual single-point design" to "batch automatic closed-loop optimization" in shaft cutting head design. This method improves verification efficiency while enhancing the scientific rigor and adaptability of structural solutions, making it suitable for rapid engineering needs under multiple geological conditions and multi-objective constraints.

[0070] Furthermore, the automatic modeling and simulation technology system of this invention has universality and is applicable to the design of key structural components of other types of tunneling equipment (such as tunnel boring machines, TBMs, shaft tunneling machines, etc.).

[0071] The embodiments described above are merely illustrative of several implementations of the present invention, and while the descriptions are specific and detailed, they should not be construed as limiting the scope of the present invention. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of the present invention, and these modifications and improvements all fall within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be determined by the appended claims.

Claims

1. A method for efficiently designing a vertical shaft cutting head, characterized in that, Includes the following steps: S1. Determine multiple working conditions of the vertical shaft cutting head. Each working condition corresponds to multiple sets of structural parameters of the vertical shaft cutting head. Using the Python language framework, establish a corresponding parameterized cutting head model in combination with a set of structural parameters. Mesh the model, configure the boundary conditions and control parameters required for simulation, perform fluid-structure interaction simulation and output the simulation results. The simulation results include the actual values ​​of the model's slag discharge index. S2. Calculate the slag discharge performance of the parameterized cutting head model by combining the actual value of the slag discharge index with the preset target value. Compare the obtained slag discharge performance with the preset slag discharge performance threshold. If the obtained slag discharge performance is not less than the preset slag discharge performance threshold, record the set of structural parameters as the scheme template and bind the slag discharge performance. Otherwise, discard the set of structural parameters and the corresponding parameterized cutting head model. S3. Change the structural parameters in S1, perform multiple rounds of parametric modeling, simulation and performance analysis of the cutting head structure, obtain multiple scheme templates that bind slag discharge performance, and then combine them with the corresponding working conditions to establish a working condition-performance-scheme template database. S4. When it is necessary to design the cutting head structure, the database in S3 is used to filter according to the target working conditions and target performance. If there is a scheme template that meets both the target working conditions and target slag discharge performance requirements, the scheme template is directly called for production; otherwise, the trained neural network model is used to filter the scheme template most likely to meet the requirements in the database, and adjustments are made based on the scheme template to realize the design of the cutting head.

2. The design method according to claim 1, characterized in that, The cutting head structure includes a drum, a grid plate, a slag collection bin, and a slag discharge port; the drum is located at the center of the cutting head and achieves cutting and crushing of rocks or soil through high-speed rotation; The grating is installed at an angle in front of the drum to intercept larger pieces of slag generated during the cutting process; the slag collection bin is fixed below the grating and is arranged using the space between the drum and the grating, and the slag collection bin is closely connected to the grating to receive the slag intercepted by the grating in a timely manner; the slag discharge port is located on the side of the slag collection bin and is connected to a negative pressure suction device to continuously discharge the slag from the system; a flushing port is provided on the upper part of the grating to spray high-pressure water to assist in the discharge of slag.

3. The design method according to claim 1, characterized in that, Step S1 includes: S11. Input the structural parameters of the cutting head structure, standardize the structural parameters and store them as the structural parameters generated by the parameterized cutting head model; S12. Generate a parameterized cutting head model based on the structural parameters obtained in S11, and perform mesh generation. S13. Based on the actual working conditions, set the boundary conditions, initial conditions and simulation duration required for the simulation using a Python-based simulation framework script, run the simulation process, and output the simulation results including the slag discharge index of the parameterized cutting head model.

4. The design method according to claim 1, characterized in that, The structural parameters in step S1 include the overall dimensions of the cutting head structure model, the dimensions of the grid plate, and the dimensions of the pipeline.

5. The design method according to claim 1, characterized in that, Step S2 includes: S21. Extract the volumetric flow rate of the slag outlet from the simulation results. Average particle exit velocity and mud speed The actual values ​​of the three slag discharge indicators are recorded in a structured format and bound to the parameterized cutting head model. S22. Call the actual values ​​of the three slag discharge indicators extracted in S21, calculate the performance corresponding to each slag discharge indicator, and then obtain the slag discharge performance of the parameterized cutting head model by weighted superposition. S23. Calculate the slag discharge performance of the parameterized cutting head model. Compared with the preset slag discharge performance threshold, if the slag discharge performance of the parameterized cutting head model is... If the parameterized cutting head model's structural parameters are greater than or equal to the preset slag discharge performance threshold, then the parameterized cutting head model's structural parameters are recorded as a scheme template and bound to the slag discharge performance; otherwise, the parameterized cutting head model is discarded, and its corresponding structural parameters are not included in the scheme template.

6. The design method according to claim 5, characterized in that, The performance corresponding to each of the slag discharge indicators satisfies a linear penalty function.

7. A system for implementing the efficient design method of the vertical shaft cutting head according to any one of claims 1-6, characterized in that, Includes the following modules: The modeling and simulation module is used to automatically create a 3D model of the cutting head structure and generate a mesh, and to configure the boundary conditions and control parameters required for fluid-structure interaction simulation. The data processing module is built around the acquisition and analysis of simulation data of the parameterized cutting head model. It is used to extract slag discharge indicators from the simulation results and complete the slag discharge performance calculation of the parameterized cutting head model. The auxiliary module is used to establish a database of working conditions, performance, and solution templates for the cutting head structure, and to select solution templates that meet the performance requirements based on the target working conditions and target slag discharge performance. And generate images from the simulation results; The modeling and simulation module, data processing module, and auxiliary module are controlled by Python scripts.

8. The system according to claim 7, characterized in that, The modeling and simulation module includes a geometric modeling module, a physics simulation module, and a script control module. The script control module has built-in automatic modeling and simulation scripts, which control the geometric modeling module to automatically complete the establishment of the three-dimensional model and mesh generation of the cutting head structure based on the input structural parameters. The physics simulation module is used to configure the boundary conditions and control parameters required for simulation and to complete the fluid-structure interaction simulation of the parameterized cutting head model.

9. The system according to claim 7, characterized in that, The auxiliary module includes a historical result recall module, a simulation image output module, and a scheme template management module; the historical result recall module is used to record the structural parameters and simulation process input each time, and to establish a working condition-performance-scheme template database for the cutting head structure. The solution template management module selects solution templates that meet the target slag discharge performance from the working condition-performance-solution template database based on the target working condition and target slag discharge performance, and outputs them. The simulation image output module generates images from each simulation result.

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