Standard digital model modeling method and system

Abstract

The invention relates to the technical field of digitization, and provides a standard digital model modeling method, which comprises the following steps: acquiring different activity stages of a technical standard in the time dimension in a life cycle to obtain first dimension data at least comprising the activity stages such as standard pre-research and standard draft, and establishing different resource types in the space dimension. And establishing a label layer according to the second dimension data, performing association constraint on the second dimension data and a label in the label layer, and performing association constraint on the first dimension data and the label in the label layer. The invention further discloses a system for executing the method, and in the whole life cycle process of standard document formulation, implementation and use, revision and the like, the method and the system can update and revise the second-dimension data regularly, so that the method and the system can be used for storing and pushing the second-dimension data in the whole life cycle process of standard document formulation, implementation and use, revision and the like. When original content boundaries of technical terms, expressions, paraphrases and the like are also changed, high-efficiency updating of the data is realized.

Description

Technical Field

[0001] The present invention relates to the field of artificial intelligence technology, and in particular to a standard digital model building method and system. Background Art

[0002] Standard digitization refers to the process of converting traditional standard documents, specifications, processes, etc. into digital form through information technology to facilitate storage, management, dissemination and application in a digital environment. With the development of information technologies such as computer technology, the Internet, big data, and cloud computing, standardization organizations and enterprises need more efficient and flexible methods to ensure the timeliness and applicability of standards when formulating, updating and maintaining standards. Standard digitization makes it easier to conduct version control and updates, and it is easier for multiple parties to participate in the formulation and revision of standards, provide feedback and suggestions, and track technological progress and changes in market demand, which has important practical significance.

[0003] CN118227802B discloses a standard digital processing method based on a large language model, characterized in that the method includes: obtaining the original knowledge base entries of the user, and creating a corresponding original knowledge base based on the original knowledge base entries; standardizing the original knowledge base to generate a corresponding standard meta-knowledge base, and creating a corresponding knowledge semantic recognition model in real time based on the standard meta-knowledge base; generating a corresponding standard digital processing model according to the standard meta-knowledge base based on preset rules, and inputting a number of knowledge standard elements output by the knowledge semantic recognition model into the standard digital processing model; digitally processing each of the knowledge standard elements through the standard digital processing model to output a number of corresponding optimal semantic sentences, and setting the number of the optimal semantic sentences as the user knowledge in the standard form required by the user.

[0004] CN118053007B discloses a standard content comparison and display method and system based on big data, including: collecting various relevant standard physical images of products, fusing various relevant standard physical images of products to obtain product standard fusion images, comparing various relevant standard physical images of products with product standard fusion images to obtain product fusion image similarity evaluation values ​​of various relevant standards, dividing various relevant standards into universality grades according to the product fusion image similarity evaluation values ​​of various relevant standards, and obtaining various genus-related standards of various universality grades by statistics; obtaining current standard-related data, analyzing and obtaining universality adaptation indicators of current standards, matching current standards with universality adaptation indicators, and matching with various genus-related standards of various universality grades to obtain various target comparison standards, comparing the current standards with various target comparison standards, and displaying the comparison results; the specific process of obtaining the product fusion image similarity evaluation values ​​of various relevant standards is: extracting feature points from various relevant standard physical images of products and product standard fusion images, and connecting the feature points according to a set sequence to obtain various relevant standard physical images of products and the feature points of the product standard fusion image, and the center point of each image is extracted as the reference point. The various relevant standard physical images of the product are overlapped and compared with the product standard fusion image, and the overlap length of the feature point connection line and the deviation distance of each feature point of the various relevant standard physical images of the product and the product standard fusion image are obtained, which are marked as the overlap length of the feature point connection line of each relevant standard and the deviation distance of each feature point of each relevant standard respectively; the feature point connection length of the product standard fusion image is extracted, and the similarity evaluation value of the product fusion image of each relevant standard is obtained by comprehensive analysis; the specific numerical expression is: where represents the similarity evaluation value of the product fusion image of the i-th relevant standard, e represents the natural constant, represents the deviation distance of the j-th feature point of the i-th relevant standard, represents the overlap length of the feature point connection line of the i-th relevant standard, represents the set allowable feature point deviation distance, represents the feature point connection length of the product standard fusion image, represents the image similarity evaluation impact factor corresponding to the set feature point deviation distance, represents the image similarity evaluation impact factor corresponding to the set feature point connection length, i represents the number of each relevant standard, n represents the total number of relevant standards, j represents the number of each feature point, and m represents the total number of feature points.

[0005] CN117252491A discloses a standard digital transformation maturity modeling method and system, the standard digital transformation maturity modeling method includes: step S1, selecting macro-influencing factors according to the scope of external business activities of the enterprise, wherein the macro-influencing factors include the international development environment, the domestic policy environment, and the industry market environment; step S2, selecting meso-driving factors according to the scope of internal business activities of the enterprise, wherein the meso-driving factors include the technical level, the organizational level, and the business level, wherein the technical level includes core key technical indicators, digital infrastructure indicators, and data security protection indicators; the business level includes business scenario integration indicators, new technology system integration indicators, and industrial ecological integration indicators; the organizational level includes organizational leadership indicators, supporting system indicators, talent training indicators, and capital investment indicators; step S3, using hierarchical analysis method to determine the mapping relationship between the macro-influencing factors, the various indicators in the meso-driving factors and the decision-making goals, and determine the assignment weights of the various indicators; step S4, outputting the standard digital transformation maturity model.

[0006] In the prior art, the content of standard documents is highly standardized and mostly static, making it difficult to conduct effective data analysis and mining. When updating and revising paper or non-digital standard texts, it is easy to have version confusion, and it is difficult to quickly and accurately retrieve information from standard documents. Especially when the content of the standard is large and complex, it is difficult to efficiently find the specific content required. Summary of the invention

[0007] Long-term practice has found that in the entire life cycle of standard document formulation, implementation, use and revision, the terminology, expressions, interpretations, parameters, etc. in the standard document need to be standardized. Traditional standard documents can no longer adapt to the rapid technological development and market changes through regular updates and revisions. With the changes over time, it is not only difficult to quickly expand the content or systematically represent the various essentials, but also the original technical terms, expressions, interpretations and other content boundaries have changed, resulting in technical problems such as difficulty in quickly sharing information and difficulty in more efficient collaboration throughout the life cycle of the standard content.

[0008] In view of this, the present invention aims to propose a standard digital modeling method comprising:

[0009] Step S1, obtaining different activity stages of the technical standard in the time dimension during the life cycle to obtain first dimension data, wherein the first dimension data at least includes standard pre-research, standard drafting, standard solicitation of opinions, standard review, standard application, standard evaluation, standard revision, and standard abandonment; obtaining different resource types of the technical standard in the spatial dimension to obtain second dimension data, wherein the second dimension data includes knowledge, personnel, information, and associated standards;

[0010] Step S2, establishing a label layer according to the second dimensional data, the label layer including a plurality of labels, the second dimensional data being associated and constrained with the labels in the label layer to form a first associated constraint set; the first dimensional data being associated and constrained with the labels in the label layer to form a second associated constraint set;

[0011] Step S3, establishing first data packets for storage and push of different categories of data in the second dimensional data, wherein the first data packet at least includes a knowledge data packet, a personnel data packet, an information data packet, and an associated standard data packet;

[0012] Step S4: if the data in the first data packet is updated, the label in the label layer is updated, and different versions of the second data packet are saved; the first association constraint set and the second association constraint set are updated.

[0013] In one embodiment, the knowledge data packet, the personnel data packet, the information data packet, and the associated standard data packet in the first data packet are standardized respectively and then visualized to form a data visualization graph.

[0014] In one embodiment, a knowledge graph is constructed based on the data in the second data packet.

[0015] In one embodiment, the tag layer includes a structured tag library in XML format.

[0016] In one embodiment, in step S3, when the activity state of the first dimensional data is obtained, the first data packet is pushed into the first dimensional data in the active state.

[0017] In one embodiment, the standard digital model building method further includes:

[0018] Step S5, first regularize the label text in the label layer, convert the text content in the label into a numerical type, and then perform normalization processing and visualization.

[0019] The present invention also discloses a system according to the above standard digital model modeling method, the system comprising:

[0020] An acquisition unit is used to acquire different activity stages of technical standards in the time dimension during the life cycle to obtain first dimension data, wherein the first dimension data at least includes standard pre-research, standard drafting, standard solicitation of opinions, standard review, standard application, standard evaluation, standard revision, and standard abandonment; and to acquire different resource types of technical standards in the space dimension to obtain second dimension data, wherein the second dimension data includes knowledge, personnel, information, and associated standards;

[0021] an association constraint unit, configured to establish a label layer according to the second dimensional data, wherein the label layer includes a plurality of labels, and the second dimensional data is associated with the labels in the label layer to form a first association constraint set; and the first dimensional data is associated with the labels in the label layer to form a second association constraint set;

[0022] A first data unit is used to separately establish a first data package for storing and pushing different categories of data in the second dimensional data, wherein the first data package at least includes a knowledge data package, a personnel data package, an information data package, and an associated standard data package;

[0023] An updating unit is used to update the label in the label layer if the data in the first data packet is updated, and save different versions of the second data packet; and update the first association constraint set and the second association constraint set.

[0024] The system also includes a regularization processing unit, which is used to first perform regularization processing on the label text in the label layer, convert the text content in the label into a numerical type, and then perform normalization processing before visualization.

[0025] The present invention provides an electronic device, at least one processor; and

[0026] a memory communicatively connected to the at least one processor; wherein,

[0027] The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to perform the above-mentioned standard digital model modeling method.

[0028] The present invention provides a machine-readable storage medium on which instructions are stored, and the instructions are used to enable a machine to execute the standard digital modeling method of the present application as described above.

[0029] The standard digital model modeling method disclosed in the present invention obtains the first dimension data by acquiring different activity stages in the time dimension of the technical standard in the life cycle, that is, the first dimension data is divided into at least the activity stages including standard pre-research, standard drafting, standard solicitation, standard review, standard application, standard evaluation, standard revision, and standard abandonment, and different resource types are established in the spatial dimension, including at least knowledge, personnel, information, and associated standards. Then, a label layer is established according to the second dimension data, the label layer includes multiple labels, the second dimension data is associated with the labels in the label layer, and the first dimension data is associated with the labels in the label layer. Different categories of data in the second dimension data are separately established as first data packets for storage and push, wherein the first data packet at least includes a knowledge data packet, a personnel data packet, an information data packet, and an associated standard data packet. In this way, if the data in the first data packet is updated, the label in the label layer is updated, and different versions of the second data packet are saved; the first associated constraint set and the second associated constraint set are updated. The present invention also discloses a system for executing the above-mentioned standard digital modeling method. The method and system can quickly expand the content or systematically realize data updates brought about by technological development and market changes by regularly updating and revising the second dimension data during the entire life cycle of standard document formulation, implementation, use and revision. When the original technical terms, expressions, interpretations and other content boundaries also change, information can be quickly shared throughout the entire standard life cycle to achieve efficient collaboration of standard data at different stages.

[0030] Other features and advantages of the present invention will be described in detail in the following detailed description. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] The accompanying drawings constituting a part of the present invention are used to provide a further understanding of the present invention. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute an improper limitation of the present invention. In the accompanying drawings:

[0032] Figure 1 A schematic diagram of a standard digital model building method according to an embodiment of the present invention;

[0033] Figure 2 The present invention is a flowchart of a method for modeling a standard digital model according to an embodiment of the present invention. DETAILED DESCRIPTION

[0034] The specific implementation of the present invention is described in detail below in conjunction with the accompanying drawings. It should be understood that the specific implementation described here is only used to illustrate and explain the present invention, and is not used to limit the present invention.

[0035] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present invention.

[0036] It should be noted that the terms "first", "second", "third", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so as to describe the embodiments of the present invention described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0037] In order to solve the problem referred to in the background technology section, during the entire life cycle of standard document formulation, implementation, use and revision, the terminology, expressions, interpretations, parameters, etc. in the standard document need to be standardized. Traditional standard documents can no longer adapt to the rapid technological development and market changes through regular updates and revisions. As time goes by, it is not only difficult to quickly expand the content or systematically characterize the various essentials, but also the original technical terms, expressions, interpretations and other content boundaries have changed, resulting in technical problems such as difficulty in quickly sharing information and difficulty in more efficient collaboration throughout the life cycle of the standard content. The present invention provides a standard digital model modeling method, such as Figure 1-2 As shown, a schematic diagram of a standard digital model building method according to an embodiment of the present invention is provided, wherein the standard digital model building method comprises:

[0038] Step S1, obtaining different activity stages of the technical standard in the time dimension during the life cycle to obtain first dimension data, wherein the first dimension data at least includes standard pre-research, standard drafting, standard solicitation of opinions, standard review, standard application, standard evaluation, standard revision, and standard abandonment; obtaining different resource types of the technical standard in the spatial dimension to obtain second dimension data, wherein the second dimension data includes knowledge, personnel, information, and associated standards;

[0039] Step S2, establishing a label layer according to the second dimensional data, the label layer including a plurality of labels, the second dimensional data being associated and constrained with the labels in the label layer to form a first associated constraint set; the first dimensional data being associated and constrained with the labels in the label layer to form a second associated constraint set;

[0040] Step S3, establishing first data packets for storage and push of different categories of data in the second dimensional data, wherein the first data packet at least includes a knowledge data packet, a personnel data packet, an information data packet, and an associated standard data packet;

[0041] Step S4: if the data in the first data packet is updated, the label in the label layer is updated, and different versions of the second data packet are saved; the first association constraint set and the second association constraint set are updated.

[0042] By acquiring different activity stages of technical standards in the time dimension during the life cycle, the first dimension data is obtained, that is, the first dimension data is divided into at least the activity stages including standard pre-research, standard drafting, standard solicitation, standard review, standard application, standard evaluation, standard revision, and standard abandonment, and different resource types are established in the spatial dimension, including at least knowledge, personnel, information, and associated standards. Then, a label layer is established based on the second dimension data, the label layer includes multiple labels, the second dimension data is associated with the labels in the label layer, and the first dimension data is associated with the labels in the label layer. Different categories of data in the second dimension data are separately established as first data packets for storage and push, wherein the first data packet at least includes a knowledge data packet, a personnel data packet, an information data packet, and an associated standard data packet. In this way, if the data in the first data packet is updated, the label in the label layer is updated, and different versions of the second data packet are saved; the first associated constraint set and the second associated constraint set are updated. This method can quickly expand the content or systematically update the data brought about by technological development and market changes by regularly updating and revising the second dimension data during the entire life cycle of standard document formulation, implementation, use and revision. When the original technical terms, expressions, interpretations and other content boundaries also change, information can be quickly shared throughout the entire standard life cycle to achieve efficient collaboration of standard data at different stages.

[0043] In order to model the process of the standard throughout its entire life cycle, the first dimension data includes the process of the entire life cycle of the standard, including different stages of standard pre-research, standard drafting, standard solicitation of opinions, standard review, standard application, standard evaluation, standard revision, and standard abandonment. In different stages, the relevant information, relevant personnel, relevant knowledge, and relevant standards involved are actually different. The interrelated data need to be modeled before they can be stored and pushed more quickly. In another embodiment of the present invention, the knowledge data packet, the personnel data packet, the information data packet, and the associated standard data packet in the first data packet are standardized respectively, and then visualized to form a data visualization diagram. For example, an information view is established for relevant information, a knowledge view is established for relevant knowledge, and a resource view is established for relevant resources.

[0044] During the entire life cycle of the standard, including the different stages of standard pre-research, standard drafting, standard solicitation of opinions, standard review, standard application, standard evaluation, standard revision, and standard abandonment, in order to better present the data nodes in the relevant knowledge data package and characterize the internal correlation relationship of the relevant knowledge and other information, in another embodiment of the present invention, a knowledge graph is established for the data in the second data package.

[0045] In order to better standardize and characterize the label content, and to better classify and label the various types of data in the second dimension data in multiple dimensions. In another embodiment of the present invention, the label layer includes a structured label library in XML format. If the resource type may belong to multiple categories at the same time, the label layer is designed as a multi-label classification layer, in which each node represents a resource type, and the output value is a binary representation (1 means belonging to this type, and 0 means not belonging to this type). In a resource management or classification system, by labeling resources by type, the retrieval and classification of resources are simplified.

[0046] First, it is identified which stage of the first dimensional data is active, for example, the standard application is currently in an active state, and the first data packet in the second dimensional data is pushed according to the state. In another embodiment of the present invention, in step S3, when the activity state of the first dimensional data is obtained, the first data packet is pushed to the first dimensional data in the active state.

[0047] In order to better process the data of the label layer and better present and process the logical relationship between labels, in another embodiment of the present invention, the standard digital model modeling method further includes:

[0048] Step S5, first regularize the label text in the label layer, and convert the text content in the label into a numerical type, and then perform normalization and visualization. Among them, regularization processing usually includes cleaning text data, such as removing special characters, punctuation marks, numbers, spaces, etc. The process of converting the text content in the label into a numerical type includes word embedding (Word Embedding), using pre-trained word vectors such as Word2Vec and GloVe to convert words into vectors of fixed dimensions. The converted numerical data is normalized to scale it to the same range. Including Min-Max normalization, scaling the data to the range of [0,1], and visualizing it after normalization. Or Z-score normalization, converting the data to a standard normal distribution, that is, the mean is 0 and the variance is 1.

[0049] The present invention also discloses a system according to the above standard digital model modeling method, the system comprising:

[0050] An acquisition unit is used to acquire different activity stages of technical standards in the time dimension during the life cycle to obtain first dimension data, wherein the first dimension data at least includes standard pre-research, standard drafting, standard solicitation of opinions, standard review, standard application, standard evaluation, standard revision, and standard abandonment; and to acquire different resource types of technical standards in the space dimension to obtain second dimension data, wherein the second dimension data includes knowledge, personnel, information, and associated standards;

[0051] an association constraint unit, configured to establish a label layer according to the second dimensional data, wherein the label layer includes a plurality of labels, and the second dimensional data is associated with the labels in the label layer to form a first association constraint set; and the first dimensional data is associated with the labels in the label layer to form a second association constraint set;

[0052] A first data unit is used to separately establish a first data package for storing and pushing different categories of data in the second dimensional data, wherein the first data package at least includes a knowledge data package, a personnel data package, an information data package, and an associated standard data package;

[0053] An updating unit is used to update the label in the label layer if the data in the first data packet is updated, and save different versions of the second data packet; and update the first association constraint set and the second association constraint set.

[0054] The acquisition unit acquires different activity stages of the technical standard in the time dimension during the life cycle to obtain the first dimension data, that is, the first dimension data is divided into at least the activity stages including standard pre-research, standard drafting, standard solicitation, standard review, standard application, standard evaluation, standard revision, and standard abandonment, and different resource types are established in the spatial dimension, including at least knowledge, personnel, information, and associated standards. Then, according to the association constraint unit, a label layer is established in the second dimension data, the label layer includes multiple labels, the second dimension data is associated with the labels in the label layer, and the first dimension data is associated with the labels in the label layer. The first data unit separately establishes a first data packet for storage and push of different categories of data in the second dimension data, wherein the first data packet at least includes a knowledge data packet, a personnel data packet, an information data packet, and an associated standard data packet. In this way, if the data in the first data packet is updated, the update unit updates the label in the label layer, saves different versions of the second data packet, and updates the first association constraint set and the second association constraint set. The system can quickly expand the content or systematically update the data brought about by technological development and market changes by regularly updating and revising the second dimension data during the entire life cycle of standard document formulation, implementation, use and revision. When the boundaries of the original technical terms, expressions, interpretations and other content have also changed, information can be shared quickly throughout the entire standard life cycle to achieve efficient collaboration of standard data at different stages.

[0055] In order to better process the data of the label layer and better present and process the logical relationship between labels, in another embodiment of the present invention, the system also includes a regularization processing unit, which is used to first regularize the label text in the label layer, and convert the text content in the label into a numerical type, and then perform normalization processing before visualization.

[0056] The present invention provides an electronic device, at least one processor; and

[0057] a memory communicatively connected to the at least one processor; wherein,

[0058] The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to perform the above-mentioned standard digital model modeling method.

[0059] The present invention provides a machine-readable storage medium on which instructions are stored, and the instructions are used to enable a machine to execute the standard digital modeling method of the present application as described above.

[0060] It should be noted that, for the above-mentioned method embodiments, for the sake of simplicity, they are all described as a series of action combinations, but those skilled in the art should know that the present invention is not limited by the described action sequence, because according to the present invention, certain steps can be performed in other sequences or simultaneously. Secondly, those skilled in the art should also know that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily required by the present invention.

[0061] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0062] In the several embodiments provided by the present invention, it should be understood that the disclosed device can be implemented in other ways. For example, the device embodiments described above are only schematic, such as the division of the units, which is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, and the indirect coupling or communication connection of devices or units can be electrical or other forms.

[0063] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0064] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0065] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions for a computer device (which can be a personal computer, a mobile terminal, a server or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), mobile hard disk, disk or optical disk and other media that can store program codes.

[0066] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A standard digital modeling method, characterized in that: The standard digital model building method includes: Step S1, obtaining different activity stages of the technical standard in the time dimension during the life cycle to obtain first dimension data, wherein the first dimension data at least includes standard pre-research, standard drafting, standard solicitation of opinions, standard review, standard application, standard evaluation, standard revision, and standard abandonment; obtaining different resource types of the technical standard in the spatial dimension to obtain second dimension data, wherein the second dimension data includes knowledge, personnel, information, and associated standards; Step S2, establishing a label layer according to the second dimensional data, the label layer including a plurality of labels, the second dimensional data being associated and constrained with the labels in the label layer to form a first associated constraint set; the first dimensional data being associated and constrained with the labels in the label layer to form a second associated constraint set; Step S3, establishing first data packets for storage and push of different categories of data in the second dimensional data, wherein the first data packet at least includes a knowledge data packet, a personnel data packet, an information data packet, and an associated standard data packet; Step S4, if the data in the first data packet is updated, the label in the label layer is updated, and different versions of the second data packet are saved; the first association constraint set and the second association constraint set are updated, and version data is retained.

2. The standard digital model building method according to claim 1, characterized in that: The knowledge data packet, the personnel data packet, the information data packet, and the associated standard data packet in the first data packet are standardized respectively and then visualized to form a data visualization graph.

3. The standard digital model building method according to claim 2, characterized in that: Create a knowledge graph based on the data in the second data packet.

4. The standard digital model building method according to claim 1, characterized in that: The tag layer includes a structured tag library in XML format.

5. The standard digital model building method according to claim 1, characterized in that: In step S3, when the activity state of the first dimensional data is obtained, the first data packet is pushed into the first dimensional data in the active state.

6. The standard digital model building method according to any one of claims 1 to 5, characterized in that: The standard digital model building method also includes: Step S5, first regularize the label text in the label layer, convert the text content in the label into a numerical type, and then perform normalization processing and visualization.

7. A system according to the standard digital model building method according to any one of claims 1 to 6, characterized in that: The system comprises, An acquisition unit is used to acquire different activity stages of technical standards in the time dimension during the life cycle to obtain first dimension data, wherein the first dimension data at least includes standard pre-research, standard drafting, standard solicitation of opinions, standard review, standard application, standard evaluation, standard revision, and standard abandonment; and to acquire different resource types of technical standards in the space dimension to obtain second dimension data, wherein the second dimension data includes knowledge, personnel, information, and associated standards; an association constraint unit, configured to establish a label layer according to the second dimensional data, wherein the label layer includes a plurality of labels, and the second dimensional data is associated with the labels in the label layer to form a first association constraint set; and the first dimensional data is associated with the labels in the label layer to form a second association constraint set; A first data unit is used to separately establish a first data package for storing and pushing different categories of data in the second dimensional data, wherein the first data package at least includes a knowledge data package, a personnel data package, an information data package, and an associated standard data package; An updating unit is used to update the label in the label layer and save different versions of the second data packet if the data in the first data packet is updated; update the first association constraint set and the second association constraint set, and retain version data.

8. The system according to claim 7, characterized in that The system also includes a regularization processing unit, which is used to first perform regularization processing on the label text in the label layer, convert the text content in the label into a numerical type, and then perform normalization processing before visualization.

9. An electronic device, characterized in that: at least one processor; as well as a memory communicatively connected to the at least one processor; wherein, The memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the standard digital model modeling method described in any one of claims 1-6.

10. A machine-readable storage medium, characterized in that: The machine-readable storage medium stores instructions for enabling a machine to execute the standard digital model building method according to any one of claims 1 to 6 of the present invention.

Images