Method and system for acquiring manufacturing equipment design requirements based on product processing actions

Abstract

The present invention discloses a method and system for acquiring design requirements of manufacturing equipment based on product processing actions. The method includes: constructing characteristic elements of equipment design requirements based on product processing actions; constructing a historical question-answer information-design requirement corpus based on product processing actions; constructing an equipment design requirement characteristic element-question relationship database, an equipment design requirement characteristic element-answer information-design requirement relationship database, and an equipment design requirement characteristic element-design requirement relationship database; constructing and training an intelligent algorithm model; acquiring the design requirements of manufacturing equipment based on product processing actions in the form of question-answer dialogue; and confirming and storing the acquired design requirements of manufacturing equipment based on product processing actions. The system includes: a questioning module, an answer information collection module, a storage module, a calculation module, and a final design requirement data output module. This solution not only improves the efficiency of design requirement collection, but also improves the accuracy of requirement collection.

Description

Technical Field

[0001] The present invention relates to the field of industrial design, and in particular to a method and system for acquiring design requirements of manufacturing equipment based on product processing actions. Background Art

[0002] Manufacturing equipment design is an activity of conceptual expression and practical discovery to achieve specific functions in a inherited and creative way according to design requirements. Design requirements are the core and origin of design. The completeness, accuracy and efficiency of obtaining design requirements determine the success of equipment design and also greatly affect the efficiency of design.

[0003] The design requirements for manufacturing equipment structures are mainly aimed at realizing product processing actions. Acquisition of design requirements centered around product processing actions is simpler, more accurate, and clearer.

[0004] Customers are the proposers and participants of equipment design requirements. When obtaining design requirements from customers, the industry generally has the following urgent problems: 1) Poor integrity of design requirements. Conventional methods of obtaining design requirements are diverse, including face-to-face meetings, telephone communications, video conferences, file transfers, etc. In actual work, the above methods are often used in combination to obtain design requirements, which makes the requirements obtained scattered, poorly systematic, and easy to miss, resulting in poor integrity of the final design requirements. 2) Poor accuracy of design requirements. When customers express abstract design intentions, semantic ambiguity is prone to occur, and requirements cannot be accurately described; when designers receive, understand and organize design requirements, they are often subjective, prone to misunderstandings, and unable to accurately organize requirements. 3) Low efficiency of demand collection. Collecting requirements through conventional methods requires design engineers to participate in customer demand communication throughout the process and respond to customer demand changes in real time, which wastes designers' energy on demand acquisition rather than design work, resulting in low design efficiency. Summary of the invention

[0005] In view of the above problems, the present invention proposes a method and system for obtaining manufacturing equipment design requirements based on product processing actions.

[0006] To achieve the purpose of the present invention, a method for obtaining manufacturing equipment design requirements based on product processing actions is provided, comprising the following steps:

[0007] S1: Taking product processing actions as the target, construct the equipment design requirement characteristic elements based on the product processing actions;

[0008] S2: Construct a corpus of historical questions, answers and design requirements based on the product processing actions;

[0009] S3: Based on the equipment design requirement characteristic elements and the historical question-answer information-design requirement corpus, construct an equipment design requirement characteristic element-question relationship database, an equipment design requirement characteristic element-answer information-design requirement relationship database, and an equipment design requirement characteristic element-design requirement relationship database respectively;

[0010] S4: constructing an intelligent algorithm model, and then training the intelligent algorithm model based on the equipment design requirement characteristic element-answer information-design requirement relationship database and the equipment design requirement characteristic element-design requirement relationship database, and obtaining a trained intelligent algorithm model;

[0011] S5: Based on the equipment design requirement characteristic elements, the equipment design requirement characteristic element-problem relationship database and the trained intelligent algorithm model, a question-answering dialogue method is used to obtain the manufacturing equipment design requirements based on the product processing action;

[0012] S6: Confirming and storing the obtained manufacturing equipment design requirements based on the product processing actions.

[0013] Furthermore, in the step S1, the specific characteristics of constructing the equipment design requirement characteristic elements based on the product processing action are: constructing the equipment design requirement characteristic elements from the manufacturing equipment processing action dimension, the product processing technology dimension and other manufacturing performance requirement dimensions.

[0014] Furthermore, the manufacturing equipment processing action dimensions include: action type, action content, action quantity, action range and action accuracy;

[0015] The product processing technology dimensions include: product information, action sequence and process flow;

[0016] The other manufacturing performance requirement dimensions include: production rhythm, processing accuracy, equipment working space dimensions, working environment, appearance requirements and other equipment matching information.

[0017] Furthermore, in step S3,

[0018] The process of constructing the equipment design requirement characteristic element-answer information-design requirement relationship database includes:

[0019] Establishing a mapping relationship among the characteristic elements of the equipment design requirements, the answer information and the design requirements; the characteristic elements of the equipment design requirements and the answer information are in a one-to-many relationship; the answer information and the design requirements are in a one-to-one relationship;

[0020] The process of constructing the equipment design requirement characteristic element-problem relationship database includes:

[0021] Establishing a one-to-many mapping relationship between the equipment design requirement characteristic elements and the historical issues;

[0022] The process of constructing the equipment design requirement characteristic element-design requirement relationship database includes:

[0023] Establishing a one-to-many relationship between the equipment design requirement characteristic elements and the design requirements;

[0024] The equipment design requirement characteristic element-question relationship database, the equipment design requirement characteristic element-answer information-design requirement relationship database and the equipment design requirement characteristic element-design requirement relationship database all include: text, voice or a combination of text and voice.

[0025] Furthermore, in step S4,

[0026] The constructed intelligent algorithm model is an intelligent algorithm model that combines a generative adversarial network with a natural language processing model; the intelligent algorithm model includes a generator and a discriminator, the generator and the discriminator each include a natural language processing model, and the two natural language processing models belong to different types of language model structures; the generator parses and extracts the input answer information, and obtains the design requirements, and then sends the design requirements to the discriminator; the discriminator determines whether the design requirements correspond to the characteristic elements of the equipment design requirements. If the two correspond, the design requirements are output; if the two do not correspond, an error message is output.

[0027] Furthermore, the process of training the intelligent algorithm model based on the equipment design requirement characteristic element-answer information-design requirement relationship database and the equipment design requirement characteristic element-design requirement relationship database includes:

[0028] The generator is trained using the equipment design requirement characteristic element-answer information-design requirement relationship database;

[0029] The discriminator is trained using the equipment design requirement characteristic element-design requirement relationship database.

[0030] Furthermore, in step S5, based on the equipment design requirement characteristic elements, the equipment design requirement characteristic element-problem relationship database and the trained intelligent algorithm model, the process of obtaining the manufacturing equipment design requirements of the product processing action by using a question-answering dialogue includes the following:

[0031] Through the constructed user dialogue program, a question is extracted from the equipment design requirement feature element-question relationship database according to the hierarchical order of the equipment design requirement feature elements; then, a question-answering dialogue is conducted with the user based on the extracted question, and the corresponding user answer information is obtained; finally, the equipment design requirement feature elements and the corresponding user answer information are input into the trained intelligent algorithm model, and the actual design requirements of the user are obtained.

[0032] Furthermore, in step S6, the process of confirming and storing the obtained manufacturing equipment design requirements for the product processing action includes:

[0033] Adopting the user dialogue program, according to the hierarchical order of the equipment design requirement characteristic elements, the equipment design requirement characteristic elements and the actual design requirements of the user are matched and presented one by one, and stored after confirmation;

[0034] The presentation methods include: form, picture and voice.

[0035] The present invention also provides a manufacturing equipment design requirement acquisition system based on product processing actions, the system comprising: a questioning module, an answer information acquisition module, a storage module, a calculation module and a final design requirement data output module;

[0036] The dialogue questioning module is used to conduct a question-based dialogue with the user regarding the extracted design requirement issues;

[0037] The answer information collection module is used to collect the user's answer information to the design requirement question;

[0038] The storage module is used to store the equipment design requirement characteristic elements, the historical question-answer information-design requirement corpus, the equipment design requirement characteristic elements-question relationship database, the equipment design requirement characteristic elements-answer information-design requirement relationship database, the equipment design requirement characteristic elements-design requirement relationship database and the actual design requirements of the user;

[0039] The calculation module is used to extract problems and execute intelligent algorithm models according to design requirement elements;

[0040] The final design requirement output module is used to output the actual design requirement of the user.

[0041] Compared with the prior art, the present invention has the following beneficial technical effects:

[0042] The present invention can realize the collection of design requirements in a more systematic and complete manner; reduce human participation and improve the efficiency of design requirement collection; improve the accuracy of requirement collection through intelligent understanding and analysis of design requirements by large models; at the same time, standardized requirement data expression can achieve the uniformity of requirement expression and facilitate subsequent intelligent design processing. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] Figure 1 is a flow chart of a method for obtaining manufacturing equipment design requirements based on product processing actions according to an embodiment;

[0044] Figure 2 is a schematic diagram of a system module for obtaining manufacturing equipment design requirements based on product processing actions in an embodiment;

[0045] Figure 3 The present invention is a flowchart of a system for obtaining manufacturing equipment design requirements based on product processing actions according to an embodiment of the present invention. DETAILED DESCRIPTION

[0046] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0047] Reference to "embodiments" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present application. The appearance of the phrase in various locations in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0048] refer to Figure 1 As shown, Figure 1 The flowchart of a method for obtaining manufacturing equipment design requirements based on product processing actions according to an embodiment includes the following steps:

[0049] S1: Taking product processing actions as the target, construct the equipment design requirement characteristic elements based on the product processing actions;

[0050] S2: Construct a corpus of historical questions, answers and design requirements based on the product processing actions;

[0051] S3: Based on the equipment design requirement characteristic elements and the historical question-answer information-design requirement corpus, construct an equipment design requirement characteristic element-question relationship database, an equipment design requirement characteristic element-answer information-design requirement relationship database, and an equipment design requirement characteristic element-design requirement relationship database respectively;

[0052] S4: constructing an intelligent algorithm model, and then training the intelligent algorithm model based on the equipment design requirement characteristic element-answer information-design requirement relationship database and the equipment design requirement characteristic element-design requirement relationship database, and obtaining a trained intelligent algorithm model;

[0053] S5: Based on the equipment design requirement characteristic elements, the equipment design requirement characteristic element-problem relationship database and the trained intelligent algorithm model, a question-answering dialogue method is used to obtain the manufacturing equipment design requirements based on the product processing action;

[0054] S6: Confirming and storing the obtained manufacturing equipment design requirements based on the product processing actions.

[0055] In one embodiment, in step S1, the specific characteristics of constructing the equipment design requirement characteristic elements based on the product processing action are: constructing the equipment design requirement characteristic elements from the manufacturing equipment processing action dimension, the product processing technology dimension and other manufacturing performance requirement dimensions.

[0056] In one embodiment, the manufacturing equipment processing action dimensions include: action type, action content, action quantity, action range and action accuracy;

[0057] The product processing technology dimensions include: product information, action sequence and process flow;

[0058] The other manufacturing performance requirement dimensions include: production rhythm, processing accuracy, equipment working space dimensions, working environment, appearance requirements and other equipment matching information.

[0059] In one embodiment, in step S3,

[0060] The process of constructing the equipment design requirement characteristic element-answer information-design requirement relationship database includes:

[0061] Establishing a mapping relationship among the characteristic elements of the equipment design requirements, the answer information and the design requirements; the characteristic elements of the equipment design requirements and the answer information are in a one-to-many relationship; the answer information and the design requirements are in a one-to-one relationship;

[0062] The process of constructing the equipment design requirement characteristic element-problem relationship database includes:

[0063] Establishing a one-to-many mapping relationship between the equipment design requirement characteristic elements and the historical issues;

[0064] The process of constructing the equipment design requirement characteristic element-design requirement relationship database includes:

[0065] Establishing a one-to-many relationship between the equipment design requirement characteristic elements and the design requirements;

[0066] The equipment design requirement characteristic element-question relationship database, the equipment design requirement characteristic element-answer information-design requirement relationship database and the equipment design requirement characteristic element-design requirement relationship database all include: text, voice or a combination of text and voice.

[0067] In one embodiment, in step S4,

[0068] The constructed intelligent algorithm model is an intelligent algorithm model that combines a generative adversarial network with a natural language processing model; the intelligent algorithm model includes a generator and a discriminator, the generator and the discriminator each include a natural language processing model, and the two natural language processing models belong to different types of language model structures; the generator parses and extracts the input answer information, and obtains the design requirements, and then sends the design requirements to the discriminator; the discriminator determines whether the design requirements correspond to the characteristic elements of the equipment design requirements. If the two correspond, the design requirements are output; if the two do not correspond, an error message is output.

[0069] In one embodiment, the process of training the intelligent algorithm model based on the equipment design requirement characteristic element-answer information-design requirement relationship database and the equipment design requirement characteristic element-design requirement relationship database includes:

[0070] The generator is trained using the equipment design requirement characteristic element-answer information-design requirement relationship database;

[0071] The discriminator is trained using the equipment design requirement characteristic element-design requirement relationship database.

[0072] In one embodiment, in step S5, based on the equipment design requirement characteristic elements, the equipment design requirement characteristic element-problem relationship database and the trained intelligent algorithm model, the process of obtaining the manufacturing equipment design requirements of the product processing action by using a question-answering dialogue includes the following:

[0073] Through the constructed user dialogue program, a question is extracted from the equipment design requirement feature element-question relationship database according to the hierarchical order of the equipment design requirement feature elements; then, a question-answering dialogue is conducted with the user based on the extracted question, and the corresponding user answer information is obtained; finally, the equipment design requirement feature elements and the corresponding user answer information are input into the trained intelligent algorithm model, and the actual design requirements of the user are obtained.

[0074] In one embodiment, in step S6, the process of confirming and storing the obtained manufacturing equipment design requirements for the product processing action includes:

[0075] Adopting the user dialogue program, according to the hierarchical order of the equipment design requirement characteristic elements, the equipment design requirement characteristic elements and the actual design requirements of the user are matched and presented one by one, and stored after confirmation;

[0076] The presentation methods include: form, picture and voice.

[0077] like Figure 2 As shown, in one embodiment, a manufacturing equipment design requirement acquisition system based on product processing actions is provided, the system comprising: a questioning module, an answer information acquisition module, a storage module, a calculation module and a final design requirement data output module;

[0078] The dialogue questioning module is used to conduct a question-based dialogue with the user regarding the extracted design requirement issues;

[0079] The answer information collection module is used to collect the user's answer information to the design requirement question;

[0080] The storage module is used to store the equipment design requirement characteristic elements, the historical question-answer information-design requirement corpus, the equipment design requirement characteristic elements-question relationship database, the equipment design requirement characteristic elements-answer information-design requirement relationship database, the equipment design requirement characteristic elements-design requirement relationship database and the actual design requirements of the user;

[0081] The calculation module is used to extract problems and execute intelligent algorithm models according to design requirement elements;

[0082] The final design requirement output module is used to output the actual design requirement of the user.

[0083] In one embodiment, a method and system for obtaining manufacturing equipment design requirements based on product processing actions are provided, which are used for obtaining requirements for "Design of Laptop Assembly Dispensing Machine". The method comprises the following steps:

[0084] (1) Taking product processing actions as the target, construct the characteristic elements of equipment design requirements based on product processing actions; specifically, it includes the following steps:

[0085] The equipment design demand feature elements are divided into the manufacturing equipment processing action dimension, product processing technology dimension, and other manufacturing performance demand dimensions for construction; each dimension contains subcategories, among which the manufacturing equipment processing action dimension contains 38 design demand features, including: action type, action content, action quantity, action range, and action accuracy. The action content includes types such as manufacturing, testing, packaging, and logistics. In the manufacturing type, for different manufacturing action contents (gluing, locking, soldering, riveting, labeling, etc.), corresponding design demand features are set. For example, for gluing, it includes demand features such as glue type, minimum glue discharge amount, glue discharge frequency, and glue discharge speed; the product processing technology dimension contains 17 demand features, including: product information, action sequence, and process flow, among which product information includes product material, product size, roughness, etc.; other manufacturing performance dimensions contain 21 design demand features, including: production rhythm, processing accuracy, equipment working space size, working environment, appearance requirements, and other equipment matching information. A total of 76 equipment design demand feature elements were constructed.

[0086] (2) Constructing a corpus of historical questions, answers and design requirements based on the product processing actions; specifically, the steps include:

[0087] Collect historical questions about product processing actions, answers, and design requirement data collated based on the answers. Through data screening, classification, and annotation methods, build a historical question-answer information-design requirement corpus. The data sources include: historical equipment design project demand communication meeting recordings, historical equipment design demand communication meeting minutes, historical equipment design project demand forms and text descriptions, etc.;

[0088] (3) Based on the equipment design requirement characteristic elements and the historical question-answer information-design requirement corpus, constructing an equipment design requirement characteristic element-question relationship database, an equipment design requirement characteristic element-answer information-design requirement relationship database, and an equipment design requirement characteristic element-design requirement relationship database respectively; specifically, the method comprises the following steps:

[0089] Construct a database of design requirement feature elements-question relationships; extract, organize, and annotate the question corpus in the historical question-answer information-design requirement corpus, so that each historical question corresponds to the constructed design requirement feature element, and each design requirement feature element contains multiple historical questions, such as the action range feature, which includes the following questions: a. What is the range of motion of the action? b. What are the ranges of motion of the action on the X-axis, Y-axis, and Z-axis respectively? c. What are the extreme values ​​of motion of the action on the three coordinate axes? ;

[0090] Construct a database of design requirement characteristic elements-answer information-design requirement relationships; extract, organize, and annotate questions, answer information, and design requirement corpora from the historical question-answer information-design requirement corpus, and merge the one-to-one relationship between question-answer information-design requirement information in the historical corpus with the constructed database of design requirement characteristic elements-question relationships, so as to realize the construction of a mapping relationship between design requirement characteristic elements-answer information-design requirements, a one-to-many relationship between design requirement characteristic elements and answer information, and a one-to-one relationship between answer information and design requirements, and standardize and organize the design requirements for each design requirement characteristic element;

[0091] Construct a design requirement characteristic element-design requirement relationship database; directly establish a one-to-many relationship between the design requirement characteristic element and the design requirement by disassembling the previously constructed design requirement characteristic element-answer information-design requirement relationship database.

[0092] (4) constructing an intelligent algorithm model, and then training the intelligent algorithm model based on the equipment design requirement characteristic element-answer information-design requirement relationship database and the equipment design requirement characteristic element-design requirement relationship database, and obtaining a trained intelligent algorithm model; specifically, the steps include:

[0093] Construct an intelligent algorithm model that combines GAN (Generative Adversarial Network) and NLP (Natural Language Processing Model). The intelligent algorithm model includes a generator and a discriminator, and both the generator and the discriminator include an NLP model. Among them, the NLP model included in the generator uses the Transformer model BERT; the NLP model included in the discriminator is the Word Embedding model ELMO. The input data of the input interface of the intelligent algorithm model are the characteristic elements of the design requirements and the collected answer information; the generator parses and extracts the answer information to form the design requirements and submits it to the discriminator for judgment; the discriminator determines whether the design requirements correspond to the characteristic elements of the design requirements; the output interface outputs the data: when the discriminator judges that the result is yes, the design requirements parsed and extracted by the generator are output; when the discriminator judges that the result is no, an error message is output, such as Figure 3 shown.

[0094] The constructed intelligent algorithm model is deployed on the server cluster, and the generator and discriminator contained in the intelligent algorithm model are trained separately. The generator is trained using the constructed equipment design requirement feature element-answer information-design requirement relationship database, so that the generator can parse and extract the design requirements based on the input design requirement feature elements and the collected answer information of the questions corresponding to the design feature elements; the discriminator is trained using the constructed equipment design requirement feature element-design requirement relationship database, so that the discriminator can determine whether the input design requirement elements correspond to the design requirements. Finally, a trained intelligent algorithm model is obtained, and input and output interfaces are developed to realize the call of the intelligent algorithm model.

[0095] (5) Based on the equipment design requirement characteristic elements, the equipment design requirement characteristic element-problem relationship database and the trained intelligent algorithm model, a question-answering dialogue is used to obtain the manufacturing equipment design requirements based on the product processing action; specifically, including:

[0096] Develop a user dialogue program, which can extract a design requirement feature element in turn according to the hierarchical order of the constructed design requirement feature elements, extract the first question corresponding to the feature element from the constructed equipment design requirement feature element-question relationship database, ask questions to the user, and collect the user's answer information;

[0097] The user dialogue program calls the input interface of the trained intelligent algorithm model, and inputs the equipment design requirement feature elements and the collected user answer information into the trained intelligent algorithm model. If the output result of the intelligent algorithm model is a design requirement, the design requirement is saved, the requirement collection of a design requirement feature element is completed, and the requirement collection of the next feature element is carried out; if the output result of the intelligent algorithm model is an error message, the first collection fails, and the user dialogue program extracts the second question corresponding to the current design feature element from the design requirement feature element-question relationship database, continues to ask the user, and repeats the above steps. After repeating 3 times, if the design requirement of the current feature element is still not successfully collected, then this design requirement feature element is skipped, and the design requirement collection of subsequent feature elements is carried out until all design requirement feature elements are traversed.

[0098] (6) confirming and storing the obtained manufacturing equipment design requirements based on the product processing actions; specifically, comprising the following steps:

[0099] Through the developed user dialogue program, each design requirement feature element is matched with the obtained design requirement one by one according to the hierarchical order of the design requirement feature elements, and presented in the form of form, picture or voice;

[0100] The user clicks the confirmation button in the dialogue program to complete the confirmation, and the program saves the design requirements to the storage module. Finally, the requirements acquisition of "Design of Laptop Assembly Dispensing Machine" is completed.

[0101] The technical features of the above embodiments may be arbitrarily combined. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0102] It should be noted that the terms "first\second\third" involved in the embodiments of the present application are only used to distinguish similar objects, and do not represent a specific order for the objects. It is understandable that the specific order or sequence of "first\second\third" can be interchanged where permitted. It should be understood that the objects distinguished by "first\second\third" can be interchanged where appropriate, so that the embodiments of the present application described herein can be implemented in an order other than those illustrated or described herein.

[0103] The terms "including" and "having" and any variations thereof in the embodiments of the present application are intended to cover non-exclusive inclusions. For example, a process, method, device, product, or equipment that includes a series of steps or modules is not limited to the listed steps or modules, but may optionally include steps or modules that are not listed, or may optionally include other steps or modules that are inherent to these processes, methods, products, or equipment.

[0104] The above-mentioned embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the invention patent. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the patent of the present application shall be subject to the attached claims.

Claims

1. A method for obtaining manufacturing equipment design requirements based on product processing actions, characterized in that: The steps include: S1: Taking product processing actions as the target, construct the equipment design requirement characteristic elements based on the product processing actions; S2: Construct a corpus of historical questions, answers and design requirements based on the product processing actions; S3: Based on the equipment design requirement characteristic elements and the historical question-answer information-design requirement corpus, construct an equipment design requirement characteristic element-question relationship database, an equipment design requirement characteristic element-answer information-design requirement relationship database, and an equipment design requirement characteristic element-design requirement relationship database respectively; S4: constructing an intelligent algorithm model, and then training the intelligent algorithm model based on the equipment design requirement characteristic element-answer information-design requirement relationship database and the equipment design requirement characteristic element-design requirement relationship database, and obtaining a trained intelligent algorithm model; S5: Based on the equipment design requirement characteristic elements, the equipment design requirement characteristic element-problem relationship database and the trained intelligent algorithm model, a question-answering dialogue method is used to obtain the manufacturing equipment design requirements based on the product processing action; S6: confirming and storing the obtained manufacturing equipment design requirements based on the product processing actions; In the step S3, The process of constructing the equipment design requirement characteristic element-answer information-design requirement relationship database includes: Establishing a mapping relationship among the characteristic elements of the equipment design requirements, the answer information and the design requirements; the characteristic elements of the equipment design requirements and the answer information are in a one-to-many relationship; the answer information and the design requirements are in a one-to-one relationship; The process of constructing the equipment design requirement characteristic element-problem relationship database includes: Establishing a one-to-many mapping relationship between the equipment design requirement characteristic elements and the historical issues; The process of constructing the equipment design requirement characteristic element-design requirement relationship database includes: Establishing a one-to-many relationship between the equipment design requirement characteristic elements and the design requirements; The equipment design requirement characteristic element-question relationship database, the equipment design requirement characteristic element-answer information-design requirement relationship database and the equipment design requirement characteristic element-design requirement relationship database all include: text, voice or a combination of text and voice; In the step S4, The constructed intelligent algorithm model is an intelligent algorithm model that combines a generative adversarial network with a natural language processing model; the intelligent algorithm model includes a generator and a discriminator, the generator and the discriminator each include a natural language processing model, and the two natural language processing models belong to different types of language model structures; the generator parses and extracts the input answer information, obtains the design requirements, and then sends the design requirements to the discriminator; the discriminator determines whether the design requirements correspond to the characteristic elements of the equipment design requirements, and if the two correspond, the design requirements are output, and if the two do not correspond, an error message is output; The process of training the intelligent algorithm model based on the equipment design requirement characteristic element-answer information-design requirement relationship database and the equipment design requirement characteristic element-design requirement relationship database includes: The generator is trained by using the equipment design requirement characteristic elements-answer information-design requirement relationship database; and the discriminator is trained by using the equipment design requirement characteristic elements-design requirement relationship database.

2. The method for obtaining manufacturing equipment design requirements based on product processing actions according to claim 1, characterized in that: In the step S1, the specific characteristics of constructing the equipment design requirement characteristic elements based on the product processing action are: constructing the equipment design requirement characteristic elements from the manufacturing equipment processing action dimension, the product processing technology dimension and other manufacturing performance requirement dimensions.

3. The method for obtaining manufacturing equipment design requirements based on product processing actions according to claim 2, characterized in that: The manufacturing equipment processing action dimensions include: action type, action content, action quantity, action range and action accuracy; The product processing technology dimensions include: product information, action sequence and process flow; The other manufacturing performance requirement dimensions include: production rhythm, processing accuracy, equipment working space dimensions, working environment, appearance requirements and other equipment matching information.

4. The method for obtaining manufacturing equipment design requirements based on product processing actions according to claim 1, wherein The feature is that in the step S5, based on the equipment design requirement characteristic elements, the equipment design requirement characteristic element-problem relationship database and the trained intelligent algorithm model, the process of obtaining the manufacturing equipment design requirements of the product processing action by using a question-answering dialogue includes the following: Through the constructed user dialogue program, a question is extracted from the equipment design requirement feature element-question relationship database according to the hierarchical order of the equipment design requirement feature elements; then, a question-answering dialogue is conducted with the user based on the extracted question, and the corresponding user answer information is obtained; finally, the equipment design requirement feature elements and the corresponding user answer information are input into the trained intelligent algorithm model, and the actual design requirements of the user are obtained.

5. The method for obtaining manufacturing equipment design requirements based on product processing actions according to claim 1, characterized in that: In step S6, the process of confirming and storing the obtained manufacturing equipment design requirements for the product processing action includes: Adopting a user dialogue program, according to the hierarchical order of the equipment design requirement characteristic elements, the equipment design requirement characteristic elements and the actual design requirements of the user are matched and presented one by one, and stored after confirmation; The presentation methods include: form, picture and voice.

6. A manufacturing equipment design requirement acquisition system based on product processing actions, adopting any method in claims 1-5, characterized in that: The system includes: a questioning module, an answer information collection module, a storage module, a calculation module and a final design requirement data output module; The dialogue questioning module is used to conduct a question-based dialogue with the user regarding the extracted design requirement issues; The answer information collection module is used to collect the user's answer information to the design requirement question; The storage module is used to store the equipment design requirement characteristic elements, the historical question-answer information-design requirement corpus, the equipment design requirement characteristic elements-question relationship database, the equipment design requirement characteristic elements-answer information-design requirement relationship database, the equipment design requirement characteristic elements-design requirement relationship database and the actual design requirements of the user; The calculation module is used to extract problems and execute intelligent algorithm models according to design requirement elements; The final design requirement output module is used to output the actual design requirement of the user.

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