WO2022127102A1 - 一种模具设计的推荐方法及装置 - Google Patents
一种模具设计的推荐方法及装置 Download PDFInfo
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- WO2022127102A1 WO2022127102A1 PCT/CN2021/106948 CN2021106948W WO2022127102A1 WO 2022127102 A1 WO2022127102 A1 WO 2022127102A1 CN 2021106948 W CN2021106948 W CN 2021106948W WO 2022127102 A1 WO2022127102 A1 WO 2022127102A1
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- 238000000034 method Methods 0.000 title claims abstract description 56
- 238000013461 design Methods 0.000 title claims abstract description 43
- 239000000463 material Substances 0.000 claims abstract description 25
- 230000003993 interaction Effects 0.000 claims abstract description 11
- 238000004088 simulation Methods 0.000 claims description 8
- 238000001125 extrusion Methods 0.000 claims description 7
- 238000010438 heat treatment Methods 0.000 claims description 7
- 238000005457 optimization Methods 0.000 claims description 3
- 238000004590 computer program Methods 0.000 description 5
- 238000003860 storage Methods 0.000 description 5
- 238000010586 diagram Methods 0.000 description 4
- 230000001419 dependent effect Effects 0.000 description 3
- 238000012938 design process Methods 0.000 description 3
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- 238000004519 manufacturing process Methods 0.000 description 3
- 238000012356 Product development Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000003672 processing method Methods 0.000 description 2
- 229910000838 Al alloy Inorganic materials 0.000 description 1
- 230000032683 aging Effects 0.000 description 1
- 229910052782 aluminium Inorganic materials 0.000 description 1
- XAGFODPZIPBFFR-UHFFFAOYSA-N aluminium Chemical compound [Al] XAGFODPZIPBFFR-UHFFFAOYSA-N 0.000 description 1
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- 229910052751 metal Inorganic materials 0.000 description 1
- 239000002184 metal Substances 0.000 description 1
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- 238000010791 quenching Methods 0.000 description 1
- 230000000171 quenching effect Effects 0.000 description 1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2457—Query processing with adaptation to user needs
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T17/00—Three dimensional [3D] modelling, e.g. data description of 3D objects
Definitions
- the present application relates to the technical field of mold design and manufacturing knowledge management, and in particular, to a recommended method and device for mold design.
- a mold is an industrial product that forms a material in a specific structural form through a certain method, and is also a production tool that can batch produce industrial product parts with certain shape and size requirements. From airplanes and automobiles to small cups and nails, almost all industrial products must be formed by molds. The high-precision, high-consistency, and high-productivity of parts produced with molds is unmatched by any other processing method. To a large extent, the mold determines the quality, efficiency and new product development capability of the product. Therefore, the mold has the honorary title of "the mother of industry”.
- the technical problem to be solved by the embodiments of the present application is to solve the problem that in the prior art, the entire design process of the mold is completely dependent on the user, the process of mold design is cumbersome, the design efficiency is low, and the rapid and accurate design of the mold becomes a difficult problem.
- an embodiment of the present application provides a method for recommending mold design, which is applied to a knowledge model server, where the knowledge model server is connected to a control terminal, the knowledge model server is connected to a plurality of model library servers, and the plurality of model
- the library server stores a plurality of corresponding relationships between different demand information and recommendation information, and the method includes:
- the control terminal is used to generate demand information according to the user's instruction operation on the human-computer interaction interface, and the demand information includes mold strength, mold stiffness, and mold use environment;
- the recommendation information corresponding to the demand information is matched and generated, and the recommendation information includes the use material, structure and process of the recommended mold.
- the recommendation information includes the use material, structure and process of the recommended mold After that, include:
- the three-dimensional model of the recommended mold is generated according to the recommendation information, and the three-dimensional model of the recommended mold is sent to the control terminal, and the control terminal is used for displaying the three-dimensional model of the recommended mold to the user.
- generating the three-dimensional model of the recommended mold according to the recommended information, and sending the three-dimensional model of the recommended mold to the control terminal includes:
- the three-dimensional model of the recommended mold does not meet the demand information
- the three-dimensional model is optimized and adjusted according to the demand information.
- the process of the recommended die includes the heating temperature of the billet, the preheating temperature of the die, the specifications of the extruder, the outer diameter of the extrusion cylinder, and the size of the ingot.
- the multiple model libraries include a drawing library, a three-dimensional library, a structure library, a material library, a simulation result knowledge base, and a process library.
- a mold design recommendation device is applied to a knowledge model server, the knowledge model server is connected to a control terminal, the knowledge model server is connected to a plurality of model base servers, and a plurality of different requirements are stored in the multiple model base servers respectively.
- the corresponding relationship between the information and the recommended information, the device includes:
- the demand information receiving module is used to receive the demand information sent by the control terminal, and the control terminal is used to generate demand information according to the user's instruction operation on the human-computer interaction interface, and the demand information includes mold strength, mold stiffness, mold usage surroundings;
- the address information matching module is used to match the address information of the corresponding target model library according to the demand information
- a recommendation information generation module is configured to match and generate recommendation information corresponding to the demand information in the target model library according to the address information of the target model library, and the recommendation information includes the use materials, structures and processes of the recommended molds .
- the device also includes:
- a three-dimensional model generation module is used to generate a three-dimensional model of the recommended mold according to the recommended information, and send the three-dimensional model of the recommended mold to the control terminal, and the control terminal is used to display the three-dimensional model of the recommended mold to the user. Model.
- the three-dimensional model generation module includes:
- a three-dimensional model generation sub-module for generating a three-dimensional model of the recommended mold according to the recommended information
- a demand information judging submodule used for judging whether the three-dimensional model of the recommended mold satisfies the demand information
- the optimization and adjustment sub-module is configured to optimize and adjust the three-dimensional model according to the demand information when the three-dimensional model of the recommended mold does not meet the demand information.
- the process of the recommended die includes the heating temperature of the billet, the preheating temperature of the die, the specifications of the extruder, the outer diameter of the extrusion cylinder, and the size of the ingot.
- the multiple model libraries include a drawing library, a three-dimensional library, a structure library, a material library, a simulation result knowledge base, and a process library.
- a method for recommending mold design in this embodiment is applied to a knowledge model server.
- the knowledge model server is connected to a control terminal, and the knowledge model server is connected to multiple model library servers.
- the library server stores a plurality of corresponding relationships between different demand information and recommendation information, and by receiving the demand information sent by the control terminal, the control terminal is used to generate demand information according to the user's instruction operation on the human-computer interaction interface.
- the demand information includes mold strength, mold stiffness, and mold use environment; the address information of the corresponding target model library is matched according to the demand information; according to the address information of the target model library, in the target model library, matching and generating Recommendation information corresponding to the demand information, and the recommendation information includes the use material, structure and process of the recommended mold. Realize the effective reuse of mold design knowledge and experience, thereby improving the quality and efficiency of mold design, and solving the problem of rapid and accurate mold design.
- FIG. 1 is a schematic diagram of the architecture of a recommendation system for mold design provided by an embodiment
- FIG. 2 is a schematic flowchart of a recommended method for mold design provided by an embodiment
- FIG. 3 is a schematic diagram of a model library provided by an embodiment
- FIG. 4 is a schematic structural diagram of a device for recommending mold design according to an embodiment.
- a mold is an industrial product that forms a material in a specific structural form through a certain method, and is also a production tool that can batch produce industrial product parts with certain shape and size requirements. From airplanes and automobiles to small cups and nails, almost all industrial products must be formed by molds. The high-precision, high-consistency, and high-productivity of parts produced with molds is unmatched by any other processing method. To a large extent, the mold determines the quality, efficiency and new product development capability of the product. Therefore, the mold has the honorary title of "the mother of industry”.
- FIG. 1 it is a schematic diagram of the architecture of a mold design recommendation system provided by an embodiment, including: a knowledge model server 1 , a control terminal 2 , and a plurality of model base servers 3 .
- the knowledge model server 1 is connected to the control terminal 2 and the model library server 3 respectively, and the connection may be an electrical connection or a wireless connection.
- the control terminal by receiving the demand information sent by the control terminal, the control terminal is used to generate demand information according to the user's instruction operation on the human-computer interaction interface, and the demand information includes mold strength, mold stiffness, mold usage.
- the recommendation information Including recommended mold materials, structures, and processes. Realize the effective reuse of mold design knowledge and experience, thereby improving the quality and efficiency of mold design, and solving the problem of rapid and accurate mold design.
- a recommended method of mold design is provided.
- the method aimed at in this embodiment may be aimed at aluminum profile moulds or other moulds, which is not limited in this embodiment.
- This embodiment is exemplified by the method being executed by computer equipment, wherein the computer equipment may be specifically shown in FIG. 1 Knowledge Model Server 1 in .
- the recommended method for mold design includes the following steps:
- the multiple model libraries include a design knowledge base, a structure library, a material library, a simulation result library, and a process library
- the design knowledge base includes a functional requirements library, a drawing library , 3D model library, extruder parameter library
- structure library includes profile section graphics library, die structure library, standard structure library
- material library includes aluminum alloy type library and auxiliary material library
- simulation result knowledge library includes stress-strain distribution, displacement distribution , temperature distribution, metal flow rate release and force-stroke curve
- the process library includes ingot heating temperature library, extrusion speed library, on-machine quenching library, tension straightening library, artificial aging library, ingot size specification library.
- Drawing model library 3D model library, structure library, material library, simulation result library and process library.
- Step 201 receiving the demand information sent by the control terminal, the control terminal is used to generate demand information according to the user's instruction operation on the human-computer interaction interface, and the demand information includes mold strength, mold stiffness, and mold use environment;
- the user can perform command operations on the human-computer interface, such as inputting text, and the control terminal can generate demand information after recognizing that the user has executed the command operation on the human-computer interface, and the demand information includes the mold. strength, mold stiffness, mold use environment, and send the first model information to the knowledge model server;
- Step 202 matching the address information of the corresponding target model library according to the demand information
- step 202 includes:
- Sub-step S11 according to the demand information, generate one or more keyword information
- Sub-step S12 searching for a target model library that matches the one or more keyword information at the same time;
- Sub-step S13 acquiring address information of the target model library.
- Step 203 matching and generating recommendation information corresponding to the demand information in the target model library according to the address information of the target model library, where the recommendation information includes the used material, structure and process of the recommended mold.
- step 203 it includes:
- Step S21 generating a three-dimensional model of the recommended mold according to the recommendation information, and sending the three-dimensional model of the recommended mold to the control terminal, where the control terminal is used to display the three-dimensional model of the recommended mold to the user.
- the knowledge model server 1 intelligently recommends suitable molds according to different requirements, including shape, material, machine, quantity, etc., and automatically models by means of parametric design to generate a three-dimensional model, which improves mold design. quality and efficiency.
- the step 21 includes:
- Step 211 generating a three-dimensional model of the recommended mold according to the recommended information
- Step 212 judging whether the three-dimensional model of the recommended mold meets the requirement information
- Step 213 when the three-dimensional model of the recommended mold does not meet the demand information, optimize and adjust the three-dimensional model according to the demand information.
- the recommended mold process includes the heating temperature of the blank, the preheating temperature of the mold, the specifications of the extruder, the outer diameter of the extrusion cylinder, and the size of the ingot.
- the knowledge model server is connected to the control terminal, the knowledge model server is connected to multiple model base servers, and the multiple model base servers respectively store multiple correspondences between different demand information and recommendation information, which are sent by the receiving control terminal.
- the control terminal is used to generate demand information according to the user's instruction operation on the human-computer interaction interface.
- the demand information includes mold strength, mold stiffness, and mold use environment, and the address information of the corresponding target model library is matched according to the demand information.
- the address information of the model library, in the target model library matches the recommended information corresponding to the generated demand information, and the recommended information includes the material, structure and process of the recommended mold. Realize the effective reuse of mold design knowledge and experience, thereby improving the quality and efficiency of mold design, and solving the problem of rapid and accurate mold design.
- a mold design recommendation device which is applied to a knowledge model server, the knowledge model server is connected to a control terminal, the knowledge model server is connected to a plurality of model library servers, and the plurality of model libraries The server stores a plurality of corresponding relationships between different demand information and recommendation information.
- the device includes:
- the demand information receiving module 401 is used to receive the demand information sent by the control terminal, and the control terminal is used to generate demand information according to the user's instruction operation on the human-computer interaction interface, and the demand information includes mold strength, mold stiffness, mold use environment;
- the address information matching module 402 is configured to match the address information of the corresponding target model library according to the demand information;
- the recommendation information generation module 403 is configured to, according to the address information of the target model library, match and generate the recommendation information corresponding to the demand information in the target model library, and the recommendation information includes the use material, structure, craft.
- the device further includes:
- a three-dimensional model generation module is used to generate a three-dimensional model of the recommended mold according to the recommended information, and send the three-dimensional model of the recommended mold to the control terminal, and the control terminal is used to display the three-dimensional model of the recommended mold to the user. Model.
- the three-dimensional model generation module includes:
- a three-dimensional model generation sub-module for generating a three-dimensional model of the recommended mold according to the recommended information
- a demand information judging submodule used for judging whether the three-dimensional model of the recommended mold satisfies the demand information
- the optimization and adjustment sub-module is configured to optimize and adjust the three-dimensional model according to the demand information when the three-dimensional model of the recommended mold does not meet the demand information.
- the recommended mold process includes the heating temperature of the blank, the preheating temperature of the mold, the specifications of the extruder, the outer diameter of the extrusion cylinder, and the size of the ingot.
- the multiple model libraries include a drawing library, a three-dimensional library, a structure library, a material library, a simulation result knowledge base, and a process library.
- the knowledge model server is connected to the control terminal, the knowledge model server is connected to multiple model base servers, and the multiple model base servers respectively store multiple correspondences between different demand information and recommendation information, which are sent by the receiving control terminal.
- the control terminal is used to generate demand information according to the user's instruction operation on the human-computer interaction interface.
- the demand information includes mold strength, mold stiffness, and mold use environment, and the address information of the corresponding target model library is matched according to the demand information.
- the address information of the model library, in the target model library matches the recommended information corresponding to the generated demand information, and the recommended information includes the material, structure and process of the recommended mold. Realize the effective reuse of mold design knowledge and experience, thereby improving the quality and efficiency of mold design, and solving the problem of rapid and accurate mold design.
- an electronic device comprising a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, the processor implementing the computer program when executed The steps of a method for automatic code generation in the above embodiment.
- a computer-readable storage medium comprising a stored computer program, wherein the computer-readable storage medium is controlled when the computer program is executed
- the device where the device is located executes the steps of a method for automatic code generation in the foregoing embodiment.
- the storage medium may be a magnetic disk, an optical disk, a read-only memory (Read-Only Memory, ROM), or a random access memory (Random Access Memory, RAM) or the like.
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Abstract
本申请公开了一种模具设计的推荐方法及装置，应用于知识模型服务器，所述知识模型服务器连接控制端，所述知识模型服务器连接多个模型库服务器，所述多个模型库服务器中分别存储有多个不同需求信息与推荐信息的对应关系，所述方法包括：接收所述控制端发送的需求信息，所述控制端用于根据用户在人机交互界面的指令操作生成需求信息，所述需求信息包括模具强度、模具刚度、模具使用环境；根据所述需求信息匹配对应的目标模型库的地址信息；根据所述目标模型库的地址信息，在所述目标模型库中，匹配生成所述需求信息对应的推荐信息，所述推荐信息包括推荐模具的使用材料、结构、工艺。提高了模具设计的质量及效率，解决了模具的快速精准设计的难题。
Description
本申请涉及模具设计与制造知识管理技术领域，尤其涉及一种模具设计的推荐方法及装置。
模具，是以特定的结构形式通过一定方式使材料成型的一种工业产品，同时也是能成批生产出具有一定形状和尺寸要求的工业产品零部件的一种生产工具。大到飞机、汽车，小到茶杯、钉子，几乎所有的工业产品都必须依靠模具成型。用模具生产制件所具备的高精度、高一致性、高生产率是任何其它加工方法所不能比拟的。模具在很大程度上决定着产品的质量、效益和新产品开发能力。所以模具又有“工业之母”的荣誉称号。
在现有技术中，完全依靠用户完成模具的整个设计过程，模具设计的过程繁琐，且设计效率低下，模具的快速精准设计成为的难题。
发明内容
本申请实施例所要解决的技术问题在于，解决在现有技术中，完全依靠用户完成模具的整个设计过程，模具设计的过程繁琐，且设计效率低下，模具的快速精准设计成为的难题的问题。
为解决上述问题，本申请实施例提供一种模具设计的推荐方法，应用于知识模型服务器，所述知识模型服务器连接控制端，所述知识模型服务器连接多个模型库服务器，所述多个模型库服务器中分别存储有多个不同需求信息与推荐信息的对应关系，所述方法包括：
接收所述控制端发送的需求信息，所述控制端用于根据用户在人机交互界面的指令操作生成需求信息，所述需求信息包括模具强度、模具刚度、模具使用环境；
根据所述需求信息匹配对应的目标模型库的地址信息；
根据所述目标模型库的地址信息，在所述目标模型库中，匹配生成所述需求信息对应的推荐信息，所述推荐信息包括推荐模具的使用材料、结构、工艺。
进一步地，所述根据所述目标模型库的地址信息，在所述目标模型库中，匹配生成所述第一模型信息对应的推荐信息，所述推荐信息包括推荐模具的使用材料、结构、工艺后，包括：
根据所述推荐信息生成推荐模具的三维模型，并将所述推荐模具的三维模型发送至所述控制端，所述控制端用于向用户展示所述推荐模具的三维模型。
进一步地，所述根据所述推荐信息生成推荐模具的三维模型，并将所述推荐模具的三维模型发送至所述控制端，包括：
根据所述推荐信息生成推荐模具的三维模型；
判断所述推荐模具的三维模型是否满足所述需求信息；
在所述推荐模具的三维模型是不满足所述需求信息时，根据所述需求信息对所述三维模型进行优化调整。
进一步地，所述推荐模具的工艺包括坯料的加热温度、模具的预热温度、挤压机规格、挤压筒外径、铸锭尺寸。
进一步地，所述多个模型库包括图纸库、三维库、结构库、材料库、仿真结果知识库以及工艺库。
一种模具设计的推荐装置，应用于知识模型服务器，所述知识模型服务器连接控制端，所述知识模型服务器连接多个模型库服务器，所述多个模型库服务器中分别存储有多个不同需求信息与推荐信息的对应关系，所述装置包括：
需求信息接收模块，用于接收所述控制端发送的需求信息，所述控制端用于根据用户在人机交互界面的指令操作生成需求信息，所述需求信息包括模具强度、模具刚度、模具使用环境；
地址信息匹配模块，用于根据所述需求信息匹配对应的目标模型库的地址信息；
推荐信息生成模块，用于根据所述目标模型库的地址信息，在所述目标模型库中，匹配生成所述需求信息对应的推荐信息，所述推荐信息包括推荐模具的使用材料、结构、工艺。
进一步地，所述装置还包括：
三维模型生成模块，用于根据所述推荐信息生成推荐模具的三维模型，并将所述推荐模具的三维模型发送至所述控制端，所述控制端用于向用户展示所述推荐模具的三维模型。
进一步地，所述三维模型生成模块，包括：
三维模型生成子模块，用于根据所述推荐信息生成推荐模具的三维模型；
需求信息判断子模块，用于判断所述推荐模具的三维模型是否满足所述需求信息；
优化调整子模块，用于在所述推荐模具的三维模型是不满足所述需求信息时，根据所述需求信息对所述三维模型进行优化调整。
进一步地，所述推荐模具的工艺包括坯料的加热温度、模具的预热温度、挤压机规格、挤压筒外径、铸锭尺寸。
进一步地，所述多个模型库包括图纸库、三维库、结构库、材料库、仿真结果知识库以及工艺库。
与现有技术相比，本实施例一种模具设计的推荐方法，应用于知识模型服务器，所述知识模型服务器连接控制端，所述知识模型服务器连接多个模型库服务器，所述多个模型库服务器中分别存储有多个不同需求信息与推荐信息的对应关系，通过接收所述控制端发送的需求信息，所述控制端用于根据用户在人机交互界面的指令操作生成需求信息，所述需求信息包括模具强度、模具刚度、模具使用环境；根据所述需求信息匹配对应的目标模型库的地址信息；根据所述目标模型库的地址信息，在所述目标模型库中，匹配生成所述需求信息对应的推荐信息，所述推荐信息包括推荐模具的使用材料、结构、工艺。实现 模具设计知识经验的有效重用，从而提高了模具设计的质量及效率，解决了模具的快速精准设计的难题。
图1是一实施例提供的一种模具设计的推荐系统的架构示意图；
图2是一实施例提供的一种模具设计的推荐方法的流程示意图；
图3是一实施例提供的一种模型库的示意图；
图4是一实施例提供的一种模具设计的推荐装置的结构示意图。
下面将结合本申请实施例中的附图，对本申请实施例中的技术方案进行清楚、完整地描述，显然，所描述的实施例仅仅是本申请一部分实施例，而不是全部的实施例。基于本申请中的实施例，本领域普通技术人员在没有做出创造性劳动前提下所获得的所有其他实施例，都属于本申请保护的范围。
模具，是以特定的结构形式通过一定方式使材料成型的一种工业产品，同时也是能成批生产出具有一定形状和尺寸要求的工业产品零部件的一种生产工具。大到飞机、汽车，小到茶杯、钉子，几乎所有的工业产品都必须依靠模具成型。用模具生产制件所具备的高精度、高一致性、高生产率是任何其它加工方法所不能比拟的。模具在很大程度上决定着产品的质量、效益和新产品开发能力。所以模具又有“工业之母”的荣誉称号。
在现有技术中，完全依靠用户完成模具的整个设计过程，模具设计的过程繁琐，且设计效率低下，模具的快速精准设计成为的难题。
为解决上述问题，如图1所示，是一实施例提供的一种模具设计的推荐系统的架构示意图，包括：知识模型服务器1、控制端2以及多个模型库服务器3。知识模型服务器1分别与控制端2以及模型库服务器3连接，该连接可以为电连接也可以为无线连接。在一实施例中，通过接收所述控制端发送的需求信息， 所述控制端用于根据用户在人机交互界面的指令操作生成需求信息，所述需求信息包括模具强度、模具刚度、模具使用环境；根据所述需求信息匹配对应的目标模型库的地址信息；根据所述目标模型库的地址信息，在所述目标模型库中，匹配生成所述需求信息对应的推荐信息，所述推荐信息包括推荐模具的使用材料、结构、工艺。实现模具设计知识经验的有效重用，从而提高了模具设计的质量及效率，解决了模具的快速精准设计的难题。
在一实施例中，提供了一种模具设计的推荐方法。本实施例针对的方法可以是针对铝型材模具，也可以是针对其他模具，本实施例不进行限制，本实施例以该方法通过计算机设备执行来举例说明，其中，计算机设备具体可以是图1中的知识模型服务器1。如图2所示，该一种模具设计的推荐方法包括如下步骤：
在本申请一实施例中，如图3所示，所述多个模型库包括设计知识库、结构库、材料库、仿真结果库以及工艺库，其中，设计知识库包括功能需求库、图纸库、三维模型库、挤压机参数库，结构库包括型材截面图形库、模具结构库、标准结构库，材料库包括铝合金类型库以及辅助材料库，仿真结果知识库包括应力应变分布、位移分布、温度分布、金属流速公布以及力‐行程曲线，工艺库包括铸锭加热温度库、挤压速度库、机上淬火库、张力矫直库、人工时效库、铸锭尺寸规格库。
图纸模型库、三维模型库、结构库、材料库、仿真结果库以及工艺库。
步骤201，接收所述控制端发送的需求信息，所述控制端用于根据用户在人机交互界面的指令操作生成需求信息，所述需求信息包括模具强度、模具刚度、模具使用环境；
在进行模型设计时，用户可以在人机交互界面实行指令操作，如，输入文字，控制端在识别到用户的在人机交互界面实行指令操作后，可以生成需求信息，所述需求信息包括模具强度、模具刚度、模具使用环境，并将该第一模型信息发送至知识模型服务器；
步骤202，根据所述需求信息匹配对应的目标模型库的地址信息；
在本申请一实施例中，步骤202包括：
子步骤S11，根据所述需求信息，生成一个或多个关键词信息；
子步骤S12，查找同时匹配所述一个或多个关键词信息的目标模型库；
子步骤S13，获取所述目标模型库的地址信息。
步骤203，根据所述目标模型库的地址信息，在所述目标模型库中，匹配生成所述需求信息对应的推荐信息，所述推荐信息包括推荐模具的使用材料、结构、工艺。
在本申请一实施例中，所述步骤203后，包括：
步骤S21，根据所述推荐信息生成推荐模具的三维模型，并将所述推荐模具的三维模型发送至所述控制端，所述控制端用于向用户展示所述推荐模具的三维模型。
在本申请实施例中，知识模型服务器1根据不同需求，包括形状、材料、台机、数量等智能推荐合适的模具，并通过参数化设计的方式自动建模，生成三维模型，提高了模具设计的质量及效率。
在本申请一实施例中，所述步骤21，包括：
步骤211，根据所述推荐信息生成推荐模具的三维模型；
步骤212，判断所述推荐模具的三维模型是否满足所述需求信息；
步骤213，在所述推荐模具的三维模型是不满足所述需求信息时，根据所述需求信息对所述三维模型进行优化调整。
在本申请一实施例中，所述推荐模具的工艺包括坯料的加热温度、模具的预热温度、挤压机规格、挤压筒外径、铸锭尺寸。
在本申请实施例中，知识模型服务器连接控制端，知识模型服务器连接多个模型库服务器，多个模型库服务器中分别存储有多个不同需求信息与推荐信息的对应关系，通过接收控制端发送的需求信息，控制端用于根据用户在人机交互界面的指令操作生成需求信息，需求信息包括模具强度、模具刚度、模具 使用环境，根据需求信息匹配对应的目标模型库的地址信息，根据目标模型库的地址信息，在目标模型库中，匹配生成需求信息对应的推荐信息，推荐信息包括推荐模具的使用材料、结构、工艺。实现模具设计知识经验的有效重用，从而提高了模具设计的质量及效率，解决了模具的快速精准设计的难题。
在又一实施例中，提供了一种模具设计的推荐装置，应用于知识模型服务器，所述知识模型服务器连接控制端，所述知识模型服务器连接多个模型库服务器，所述多个模型库服务器中分别存储有多个不同需求信息与推荐信息的对应关系，如图4所示，所述装置包括：
需求信息接收模块401，用于接收所述控制端发送的需求信息，所述控制端用于根据用户在人机交互界面的指令操作生成需求信息，所述需求信息包括模具强度、模具刚度、模具使用环境；
地址信息匹配模块402，用于根据所述需求信息匹配对应的目标模型库的地址信息；
推荐信息生成模块403，用于根据所述目标模型库的地址信息，在所述目标模型库中，匹配生成所述需求信息对应的推荐信息，所述推荐信息包括推荐模具的使用材料、结构、工艺。
在本申请一实施例中，所述装置还包括：
三维模型生成模块，用于根据所述推荐信息生成推荐模具的三维模型，并将所述推荐模具的三维模型发送至所述控制端，所述控制端用于向用户展示所述推荐模具的三维模型。
在本申请一实施例中，所述三维模型生成模块，包括：
三维模型生成子模块，用于根据所述推荐信息生成推荐模具的三维模型；
需求信息判断子模块，用于判断所述推荐模具的三维模型是否满足所述需求信息；
优化调整子模块，用于在所述推荐模具的三维模型是不满足所述需求信息时，根据所述需求信息对所述三维模型进行优化调整。
在本申请一实施例中，所述推荐模具的工艺包括坯料的加热温度、模具的预热温度、挤压机规格、挤压筒外径、铸锭尺寸。
在本申请一实施例中，所述多个模型库包括图纸库、三维库、结构库、材料库、仿真结果知识库以及工艺库。
在本申请实施例中，知识模型服务器连接控制端，知识模型服务器连接多个模型库服务器，多个模型库服务器中分别存储有多个不同需求信息与推荐信息的对应关系，通过接收控制端发送的需求信息，控制端用于根据用户在人机交互界面的指令操作生成需求信息，需求信息包括模具强度、模具刚度、模具使用环境，根据需求信息匹配对应的目标模型库的地址信息，根据目标模型库的地址信息，在目标模型库中，匹配生成需求信息对应的推荐信息，推荐信息包括推荐模具的使用材料、结构、工艺。实现模具设计知识经验的有效重用，从而提高了模具设计的质量及效率，解决了模具的快速精准设计的难题。
在一实施例中，提供了一种电子装置，包括处理器、存储器以及存储在所述存储器中且被配置为由所述处理器执行的计算机程序，所述处理器执行所述计算机程序时实现如上述实施例中一种代码自动生成的方法的步骤。
在一实施例中，提供了一种计算机可读存储介质，其特征在于，所述计算机可读存储介质包括存储的计算机程序，其中，在所述计算机程序运行时控制所述计算机可读存储介质所在设备执行如上述实施例中一种代码自动生成的方法的步骤。
以上所述是本申请的优选实施方式，应当指出，对于本技术领域的普通技术人员来说，在不脱离本申请原理的前提下，还可以做出若干改进和润饰，这些改进和润饰也视为本申请的保护范围。
本领域普通技术人员可以理解实现上述实施例方法中的全部或部分流程，是可以通过计算机程序来指令相关的硬件来完成，所述的程序可存储于一计算 机可读取存储介质中，该程序在执行时，可包括如上述各方法的实施例的流程。其中，所述的存储介质可为磁碟、光盘、只读存储记忆体(Read‐Only Memory，ROM)或随机存储记忆体(Random Access Memory，RAM)等。
Claims (10)
- 一种模具设计的推荐方法，其特征在于，应用于知识模型服务器，所述知识模型服务器连接控制端，所述知识模型服务器连接多个模型库服务器，所述多个模型库服务器中分别存储有多个不同需求信息与推荐信息的对应关系，所述方法包括：接收所述控制端发送的需求信息，所述控制端用于根据用户在人机交互界面的指令操作生成需求信息，所述需求信息包括模具强度、模具刚度、模具使用环境；根据所述需求信息匹配对应的目标模型库的地址信息；根据所述目标模型库的地址信息，在所述目标模型库中，匹配生成所述需求信息对应的推荐信息，所述推荐信息包括推荐模具的使用材料、结构、工艺。
- 根据权利要求1所述的模具结构的推荐方法，其特征在于，所述根据所述目标模型库的地址信息，在所述目标模型库中，匹配生成所述第一模型信息对应的推荐信息，所述推荐信息包括推荐模具的使用材料、结构、工艺后，包括：根据所述推荐信息生成推荐模具的三维模型，并将所述推荐模具的三维模型发送至所述控制端，所述控制端用于向用户展示所述推荐模具的三维模型。
- 根据权利要求2所述的模具结构的推荐方法，其特征在于，所述根据所述推荐信息生成推荐模具的三维模型，并将所述推荐模具的三维模型发送至所述控制端，包括：根据所述推荐信息生成推荐模具的三维模型；判断所述推荐模具的三维模型是否满足所述需求信息；在所述推荐模具的三维模型是不满足所述需求信息时，根据所述需求信息对所述三维模型进行优化调整。
- 根据权利要求1所述的模具结构的推荐方法，其特征在于，所述推荐模具的工艺包括坯料的加热温度、模具的预热温度、挤压机规格、挤压筒外径、铸锭尺寸。
- 根据权利要求1所述的代码自动生成的方法，其特征在于，所述多个模型库包括图纸库、三维库、结构库、材料库、仿真结果知识库以及工艺库。
- 一种模具设计的推荐装置，其特征在于，应用于知识模型服务器，所述知识模型服务器连接控制端，所述知识模型服务器连接多个模型库服务器，所述多个模型库服务器中分别存储有多个不同需求信息与推荐信息的对应关系，所述装置包括：需求信息接收模块，用于接收所述控制端发送的需求信息，所述控制端用于根据用户在人机交互界面的指令操作生成需求信息，所述需求信息包括模具强度、模具刚度、模具使用环境；地址信息匹配模块，用于根据所述需求信息匹配对应的目标模型库的地址信息；推荐信息生成模块，用于根据所述目标模型库的地址信息，在所述目标模型库中，匹配生成所述需求信息对应的推荐信息，所述推荐信息包括推荐模具的使用材料、结构、工艺。
- 根据权利要求6所述的模具结构的推荐装置，其特征在于，所述装置还包括：三维模型生成模块，用于根据所述推荐信息生成推荐模具的三维模型，并将所述推荐模具的三维模型发送至所述控制端，所述控制端用于向用户展示所述推荐模具的三维模型。
- 根据权利要求7所述的模具结构的推荐装置，其特征在于，所述三维模型生成模块，包括：三维模型生成子模块，用于根据所述推荐信息生成推荐模具的三维模型；需求信息判断子模块，用于判断所述推荐模具的三维模型是否满足所述需求信息；优化调整子模块，用于在所述推荐模具的三维模型是不满足所述需求信息时，根据所述需求信息对所述三维模型进行优化调整。
- 根据权利要求6所述的模具结构的推荐装置，其特征在于，所述推荐模具的工艺包括坯料的加热温度、模具的预热温度、挤压机规格、挤压筒外径、铸锭尺寸。
- 根据权利要求6所述的代码自动生成的装置，其特征在于，所述多个模型库包括图纸库、三维库、结构库、材料库、仿真结果知识库以及工艺库。
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