A digital asset management method, device and system based on identification

Abstract

The present invention proposes an identification-based digital asset management method, comprising: setting domain identification information of digital assets throughout the product life cycle by redefining existing identification of product digital assets; wherein the domain identification information of digital assets comprises first domain identification information and second domain identification information, the first domain identification information corresponds to digital assets used to describe common information of products, and the second domain identification information corresponds to digital assets used to describe individual information of products; according to the domain identification information of digital assets throughout the product life cycle, a mapping is established between digital assets, redefined identification information of digital assets, and digital asset information storage addresses, so as to realize collaborative management of data assets of multiple enterprises throughout the product life cycle. The present invention also proposes an identification-based digital asset management device and system, which effectively improves the efficiency of digital asset management and reduces the trust risk of information sharing in the collaborative cooperation process of multiple enterprises.

Description

Technical Field

[0001] The present invention relates to the field of data management, and in particular to an identification-based digital asset management method, device and system. Background Art

[0002] The industrial Internet identification resolution system is an important part of the industrial Internet network system and a nerve center that supports the interconnection of the industrial Internet. Establishing a unified identification system is an important foundation for the development of the industrial Internet. Through unique identification of physical resources such as machines and products, as well as the identity of virtual resources such as algorithms and processes, a resolution system is established to query the network location of the target object or related information according to the identification code, thereby uniquely locating and querying information on machines and items. This is the premise and foundation for achieving accurate docking between the global supply chain system and the enterprise production system, product life cycle management, and intelligent services. The construction of the secondary node of the industrial Internet machine tool industry identification resolution is the basic condition for realizing the identification, collection, transmission, and management of heterogeneous resources such as digital workshops and CNC machine tools, and plays a basic supporting role in applications such as product traceability and supply chain management.

[0003] The industrial Internet identification resolution system is mainly composed of three elements: one is identification, which is the "identity card" of machines (equipment) and objects (products); the second is identification service, that is, using identification to uniquely locate and query information of machines and objects, which is the premise and foundation for achieving accurate docking between global supply chain systems and enterprise production systems, full life cycle management of products and intelligent services; the third is identification management, that is, through the national industrial Internet identification resolution system, the application, registration, allocation, and filing of identification are realized, and unique codes are assigned to machines and objects.

[0004] At present, the storage of data and knowledge in the life cycle of product design, manufacturing, assembly, and service in the manufacturing field is mostly based on traditional relational databases, which are highly redundant, scattered, weakly correlated, and have relatively small reserves. They emphasize the retrieval of data and knowledge, but rarely study the association, cognition, understanding, and reasoning of data and knowledge from a semantic level. Therefore, how to extract useful information from redundant data and knowledge texts, how to effectively express the intrinsic associations between data and knowledge, and how to effectively use the associations between data and knowledge to achieve efficient information retrieval and information reasoning are one of the core bottlenecks in achieving the goal of intelligent manufacturing.

[0005] The existing identification coding specifications focus on the description of physical resources and lack optimization of digital resource characteristics. In the process of modeling digital twins and domain ontology knowledge in the intelligent manufacturing process, the same physical resource will derive a large number of digital asset models in various stages of the life cycle, various enterprises, and multiple fields throughout the province, including redundant and repeated descriptions generated at different stages of the life cycle, information that can be shared by similar products, and information that can be inherited by derivatives. Such defects will not only cause a waste of storage space, but more seriously, the redundant information will be difficult to update synchronously due to distributed management, reducing the management efficiency of digital assets. Summary of the invention

[0006] In order to solve the problems existing in the prior art, the present invention innovatively proposes an identification-based digital asset management method, device and system, which effectively solves the problem of low efficiency of digital asset management in the entire life cycle of the product due to the lack of data relationship semantic description in the identification coding specification, and effectively improves the efficiency of digital asset management in the entire life cycle of the product.

[0007] A first aspect of the present invention provides a method for managing digital assets based on identification, which is used to implement digital asset management throughout the product life cycle, including:

[0008] By redefining the existing identification of the product digital assets, setting the domain identification information of the digital assets of the product throughout its life cycle; wherein the domain identification information of the digital assets includes first domain identification information and second domain identification information, the first domain identification information corresponds to the digital assets used to describe the common information of the product, and the second domain identification information corresponds to the digital assets used to describe the individual information of the product;

[0009] Based on the domain identification information of digital assets throughout the product life cycle, a mapping is established between digital assets, the redefined identification information of digital assets, and the digital asset information storage address to achieve collaborative management of data assets throughout the product life cycle of multiple enterprises.

[0010] Optionally, by redefining the existing identification of the product digital asset, setting the domain identification information of the digital asset throughout the product life cycle specifically includes:

[0011] In the identification suffix of the existing identification of the product digital asset, the domain identification information of the digital asset is set to form a first identification including the first domain identification information and a second identification including the second domain identification information.

[0012] Furthermore, the first domain identification information corresponds to the digital asset used to describe the common information before the product is delivered to the user:

[0013] The first domain identification information includes a domain semantic code and an attribute semantic code, wherein the attribute semantic code is used to describe the common attribute information of the products, and the domain semantic code is used to determine the domain application scope of the attribute semantic code; wherein the domain corresponding to the first domain identification information includes but is not limited to product geometry information, product function information, product model spectrum information, first-category fault information of the product, and first-category maintenance information of the product.

[0014] Optionally, the second domain identification information corresponds to the digital asset used to describe the individual information after the product is delivered to the user:

[0015] The second field identification information includes the product serial number code and the digital twin sample semantic code, wherein the product serial number code is used to describe the serial number code of the individual product, and the digital twin sample semantic code is used to describe the field information of the product digital twin sample; wherein, the fields corresponding to the second field identification information include but are not limited to the product's current operating condition information, product production process backtracking record information, the product's second-category maintenance information, and the product's second-category fault information.

[0016] Optionally, the digital assets include digital twin information and mapping address information between the digital twin information and the identifier.

[0017] A second aspect of the present invention provides an identification-based digital asset management device for implementing digital asset management throughout the product life cycle, comprising:

[0018] A setting module, which sets the domain identification information of the digital assets of the product throughout its life cycle by redefining the existing identification of the product digital assets; wherein the domain identification information of the digital assets includes first domain identification information and second domain identification information, the first domain identification information corresponds to the digital assets used to describe the common information of the product, and the second domain identification information corresponds to the digital assets used to describe the individual information of the product;

[0019] A module is established to map digital assets, their redefined identification information, and digital asset information storage addresses based on the domain identification information of digital assets throughout the product life cycle, thereby achieving collaborative management of data assets throughout the product life cycle of multiple enterprises.

[0020] The third aspect of the present invention provides an identification-based digital asset management system, which is implemented on the basis of an identification-based digital asset management method described in the first aspect of the present invention, and includes a cloud layer and an enterprise layer that are connected in sequence in communication, the cloud layer includes a secondary node server, a digital twin server, and a national top-level node server, the enterprise layer includes a first-category enterprise node, a second-category enterprise node, and a third-category enterprise node, the third-category enterprise node establishes a user workshop database based on the product information obtained after user delivery, and establishes a second identification containing second-field identification information based on the product information data in the user workshop database; the first-category enterprise node obtains the digital asset information of the first-category enterprise, and establishes a first identification containing the first-field identification information and a second identification containing the second-field identification information through communication with the secondary node server; the second-category enterprise node obtains the digital asset information of the second-category enterprise, and establishes a first identification containing the first-field identification information and a second identification containing the second-field identification information through communication with the secondary node server; the digital twin server communicates with the first-category enterprise node, the second-category enterprise node, the third-category enterprise node, and the second-category enterprise node respectively. The communication connection of the first-level node server is used to realize the generation of digital asset information in the first-type enterprise node or the generation of digital asset information in the second-type enterprise node, as well as the collaborative management of digital assets between the first-type enterprise node, the second-type enterprise node, the third-type enterprise node, and the secondary node server; the secondary node server is respectively communicated with the first-type enterprise node, the second-type enterprise node, the third-type enterprise node, the digital twin server, and the national top-level node server to establish a first mapping relationship between the first identifier, the first digital asset information, and the storage address of the first digital asset information, as well as a second mapping relationship between the second identifier, the second digital asset information, and the storage address of the second digital asset information, and through recursive resolution of the first identifier and the second identifier, the first-type enterprise node information or the second-type enterprise node information or the third-type enterprise node information corresponding to the query request is returned to realize the collaborative management of data assets of multiple enterprises throughout the product life cycle.

[0021] Optionally, the first mapping relationship and the second mapping relationship are respectively stored in a plurality of secondary node servers, and the national top-level node server stores address information of the secondary node servers where the first mapping relationship and the second mapping relationship are located.

[0022] Further, by recursively resolving the first identifier and the second identifier, returning the first type of enterprise node information or the second type of enterprise node information or the third type of enterprise node information where the digital asset information corresponding to the query request is located specifically includes:

[0023] The secondary node server obtains the query request, determines the first identifier with the first field identification information or the second identifier with the second field identification information according to the query request, and obtains the first-category enterprise node information or the second-category enterprise node information or the third-category enterprise node information where the corresponding digital asset information is located according to the first identifier or the second identifier.

[0024] Optionally, an edge layer is also included, which includes an edge intelligent gateway, and the edge intelligent gateway is communicatively connected to the third-category enterprise node, and is used to send the user's post-delivery product information obtained through the edge intelligent gateway to the third-category enterprise node.

[0025] The technical solution adopted by the present invention includes the following technical effects:

[0026] 1. The present invention effectively solves the problem of low efficiency in digital asset management throughout the product life cycle caused by the lack of data relationship semantic description in the identification coding specification, and effectively improves the efficiency of digital asset management throughout the product life cycle.

[0027] 2. The technical solution of the present invention redefines the existing identification of product digital assets and sets the domain identification information of digital assets throughout the product life cycle, specifically including: setting the domain identification information of digital assets in the identification suffix of the existing identification of product digital assets, which is fully compatible with the identification coding specification requirements of the existing Industrial Internet identification resolution system and can be directly applied to the current resolution technology platform; by expanding the meaning of the enterprise-defined fields in the existing identification code specifications, a breakthrough is achieved in the limitations of existing identification resolution for digital assets.

[0028] 3. In the technical solution of the present invention, the first field identification information includes field semantic code and attribute semantic code, and the second field identification information includes product serial number code and digital twin sample semantic code. By introducing semantic code in the identification information setting, the semantic code expression has the characteristics of explicitness, easy recognition and easy unification, and the semantic identification code is easy to calculate, identify, classify, mine and refine, which is convenient for multi-collaborative management of digital asset content at all stages of the target product's life cycle, and easy for industrial chain alliance enterprises to achieve unified standards and specifications, reduce digital asset redundancy, and improve digital asset update efficiency and accuracy.

[0029] 4. The technical solution of the present invention provides an identification-based digital asset management system, which realizes the digital twin and digital asset collaborative management service functions for the entire industrial chain and the entire life cycle of the product, realizes the centralized management of digital assets in the entire industrial chain, and reduces the trust risk of information sharing in the collaborative cooperation process among multiple enterprises in the industrial chain by setting the access rights of the first identification or the second identification corresponding to the digital asset.

[0030] It is to be understood that the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0032] Figure 1 It is a schematic diagram of a method of Embodiment 1 of the present invention in the machine tool industry in the existing identification system;

[0033] Figure 2 A schematic diagram of product category coding in the existing labeling system;

[0034] Figure 3 This is a schematic diagram of a process of a method in Example 1 of the present invention;

[0035] Figure 4 A schematic diagram of a first identification code including first field identification information in a method of Embodiment 1 of the solution of the present invention;

[0036] Figure 5 A schematic diagram of a second identification code including second field identification information in the method of Embodiment 1 of the solution of the present invention;

[0037] Figure 6 It is a schematic diagram of the layout of the FMS flexible production line in the method of Example 1 in the solution of the present invention;

[0038] Figure 7 It is a schematic diagram of the process of building an FMS flexible production line in the method of Example 1 in the solution of the present invention;

[0039] Figure 8 This is a schematic diagram of the product knowledge structure of the FMS flexible production line in the method of Example 1 of the solution of the present invention;

[0040] Fig. 9 This is a schematic diagram of the structure of the device in Example 2 of the present invention;

[0041] Fig.10 This is a schematic diagram of the structure of the system of Example 3 in the solution of the present invention. DETAILED DESCRIPTION

[0042] In order to clearly illustrate the technical features of the present solution, the present invention is described in detail below through specific implementation methods and in conjunction with the accompanying drawings. The disclosure below provides many different embodiments or examples for realizing different structures of the present invention. In order to simplify the disclosure of the present invention, the components and settings of specific examples are described below. In addition, the present invention may repeat reference numbers and / or letters in different examples. This repetition is for the purpose of simplification and clarity, and does not itself indicate the relationship between the various embodiments and / or settings discussed. It should be noted that the components illustrated in the accompanying drawings are not necessarily drawn to scale. The present invention omits the description of known components and processing techniques and processes to avoid unnecessary limitations on the present invention.

[0043] Embodiment 1

[0044] In the existing identification system, the identification code consists of an identification prefix and an identification suffix. The identification prefix needs to be managed uniformly. In addition to the unified management of the product category industry, the identification suffix is ​​customized by the manufacturer for coding information such as product model specifications and product serial numbers. Among them, the identification prefix consists of three parts: the national top-level node identification code, the machine tool industry second-level node identification code, and the enterprise node identification code; the identification suffix consists of four parts: the product basic classification code, the product series / specification code, the product serial number code, and the enterprise custom code. The specific coding composition is as follows: Figure 1 As shown:

[0045] Identifier prefix part:

[0046] (1) Country identification code: 88, general format is X1...X N , which is composed of Arabic numerals, for example, 88 represents the top node code of Wuhan, China;

[0047] (2) Industry identification code: 222, the general format is X1X2X3, consisting of three Arabic numerals, for example, 222 represents the secondary node code of the machine tool industry;

[0048] (3) Enterprise identification code: 911, the general format is X1...X N , represented by Arabic numerals or uppercase English letters, enterprises need to apply to the secondary node unit of the machine tool industry and be allocated uniformly.

[0049] Suffix part of the logo:

[0050] (1) Product category code: 10000001, the general format is X1...X8, consisting of 8 Arabic numerals or uppercase English letters. Figure 2As shown in the figure, the first four digits distinguish the major and medium categories of products, including complete machine tools and components. Machine tools are divided according to the processing method, and components are divided according to the function of the machine tool. The last four digits subdivide the major and medium categories of products, and components are subdivided according to function and use.

[0051] (2) Product series / specification code: MZ10F3, general format is X1...X N , describes the production information such as product series or specifications, which is customized by the enterprise. When the product series or specification information is already covered in the latter product serial number code, this part of the code does not repeat the description and can be set to 0;

[0052] (3) Product serial number: 090002, general format is X1...X N , product serial code customized by the enterprise;

[0053] (4) Enterprise custom code: SD2021, general format is X1...X N , customized by the enterprise.

[0054] As intelligent manufacturing technology has attracted increasing attention from academia and industry enterprises, key technologies in the field of intelligent manufacturing, represented by digital twins and domain ontology knowledge, have been widely used in industrial sites. During the entire life cycle of physical assets, industrial chain alliance companies will generate a large amount of digital twin information and domain ontology knowledge around the physical assets. Since physical assets are "unique" at the material level, in theory, there is no situation where material objects can create new material objects through "copying, inheritance, reuse, and expansion", so the current identification coding specifications are completely applicable to the identification of physical assets in enterprises.

[0055] However, when faced with the management of digital assets throughout the product life cycle, the current coding standards will have obvious problems and defects when faced with the massive digital twins and domain ontology knowledge generated by industry chain alliance companies. Specific issues include but are not limited to the following:

[0056] First, the standard identification encoding method is easy to interpret some valid information from the code itself, but usually the identification resolution system is used to provide resolution services, and the code is entered to query more detailed information. This will lead to a large amount of data redundancy in the identification resolution system in theory, making it difficult to ensure data consistency. When a piece of data or relationship changes, the same value needs to be changed in at least two places;

[0057] Secondly, the standard coding structure emphasizes the uniqueness of the product itself, normalizing different types of products into a large system and preventing conflicts within it. This coding structure can solve this problem, but a product usually requires more information than just a unique code and the small amount of information that can be extracted from the code itself. This large amount of information will construct a huge and complex knowledge, which is reflected in the relationship between the information itself and the information, and the relationship is usually not one-way, which will result in higher design complexity and lower ease of use.

[0058] For the identification suffix part stipulated in the standard identification specification (a total of 4 sections), only the product category code (the first section) is mandatory defined, while the next three sections are not mandatory.

[0059] like Figure 3 As shown, the technical solution of the present invention provides a digital asset management method based on identification, which is used to realize digital asset management of the entire life cycle of a product, focusing on the last three pieces of information that are not mandatory. The method includes:

[0060] S1, by redefining the existing identification of the product digital asset, setting the domain identification information of the digital asset of the product throughout its life cycle; wherein the domain identification information of the digital asset includes first domain identification information and second domain identification information, the first domain identification information corresponds to the digital asset used to describe the common information of the product, and the second domain identification information corresponds to the digital asset used to describe the individual information of the product;

[0061] S2, based on the domain identification information of digital assets throughout the product life cycle, establishes a mapping between digital assets, the redefined identification information of digital assets, and the digital asset information storage address, to achieve collaborative management of data assets throughout the product life cycle of multiple enterprises.

[0062] Among them, in step S1, by redefining the existing identification of the product digital asset, setting the domain identification information of the digital asset of the product throughout its life cycle specifically includes:

[0063] In the identification suffix of the existing identification of the product digital asset, the domain identification information of the digital asset is set to form a first identification including the first domain identification information and a second identification including the second domain identification information.

[0064] Specifically, Figure 4 As shown, the first domain identification information in the first identification corresponds to the digital asset used to describe the common information before the product is delivered to the user:

[0065] The first domain identification information includes a domain semantic code and an attribute semantic code, wherein the attribute semantic code is used to describe the common attribute information of the products, and the domain semantic code is used to determine the domain application scope of the attribute semantic code; wherein the domain corresponding to the first domain identification information includes but is not limited to product geometry information, product function information, product model spectrum information, first-category fault information of the product, and first-category maintenance information of the product.

[0066] By redefining the last two sections of the identification content in the standard coding specification, the application of digital twins of product resources of the same model and domain ontology knowledge can be realized. That is, the first domain identification information can be "domain semantic code" and "attribute semantic code".

[0067] The attribute semantic code is used to describe the common attribute information of products, and the domain semantic code is used to determine the domain application scope of the attribute semantic code. Figure 4 The case logo shown has a domain semantic code of "GEOMETRY", an attribute semantic code of "DEMENSIONS", and the first domain identification information indicates the appearance geometric dimension information of the product model "MZ10F3". Figure 4 The identification shown will be automatically located by the identification resolution system to the enterprise server that provides the information. This digital resource implementation method can be used by industry chain alliance enterprises to manage the common digital twins and domain ontology knowledge of the same type of products in a distributed manner, realizing multi-enterprise collaborative data management.

[0068] In addition to product geometry information, the domain corresponding to the first domain identification information may also include product function information (function information common to a certain model of products), product spectrum information (spectrum information common to a certain model of products), first-category product fault information (common fault information that occurs before a certain model of products is delivered to users), first-category product repair information (common repair information that occurs before a certain model of products is delivered to users), etc. The common knowledge of model products (domain semantic code) can be summarized into at least five categories, namely: Summary (product introduction), Files (technical document sharing), History (historical events), and Platform (recommended extension applications). Specifically, when the domain semantic code corresponds to the category Summary, it may specifically include: Introduction (common introduction to a certain model of products), Geometric (common geometric information of a certain model of products), Semantic template (common semantic code template for a certain model of products), Basic classification (common basic classification of a certain model of products), Input format (common input type or input information of a certain model of products), and Output format (common output type or output information of a certain model of products); when the domain semantic code corresponds to the category Files, it may specifically include: Document connection list (a catalogue of general technical documents for a certain model of product); when the domain semantic code corresponds to the category of History, it can specifically include: History (general historical event information for a certain model of product); when the domain semantic code corresponds to the category of Platform, it can specifically include: Alliance enterprise collabortion platform (general industrial chain enterprise alliance extension platform for a certain model of product), Luban cloud (Luban cloud platform), etc.

[0069] By introducing semantic codes in the identification field extension regulations, semantic code expressions are made explicit, easy to identify, and easy to unify. Semantic modeling is a very common modeling method in digital twin modeling and domain ontology knowledge modeling. At the same time, semantic identification codes are easy to calculate, identify, classify, and mine and refine, making it easier for multi-collaborative management of common digital asset content at all stages of the target product or equipment's life cycle, reducing digital asset redundancy and improving the efficiency and accuracy of common digital asset updates.

[0070] The last three parts of the logo suffix can be customized by the enterprise, so even if the content written is not in line with the recommended standard, it is still in compliance with the standard. The only requirement is that the custom code cannot contain a decimal point ".". In this way, common knowledge can be refined and the scope of system services can be expanded.

[0071] Furthermore, if Figure 5 As shown, the second domain identification information in the second identification corresponds to the digital asset used to describe the individual information after the product is delivered to the user:

[0072] The second field identification information includes a product serial number code and a digital twin sample semantic code, wherein the product serial number code is used to describe the serial number code of an individual product, and the digital twin sample semantic code is used to describe the field information of the product digital twin sample; wherein the fields corresponding to the second field identification information include but are not limited to the product's current operating condition information (the current operating condition information of a product after it is delivered to the user), product production process backtracking record information (backtracking record information of a product during the production process), the product's second-category maintenance information (maintenance record information after a product is delivered to the user), and the product's second-category fault information (fault alarm record information after a product is delivered to the user).

[0073] Through the digital twin sample semantic code, the last field in the product identification is redefined. Through the identification resolution operation, the identification can be located to the digital asset information for the individual product, thereby realizing the sharing and collaborative management of the digital asset information of the product by the industrial chain alliance enterprises.

[0074] The individual knowledge of a product (digital twin sample semantic code) can be summarized into two categories, namely: Experience (experience information of a product or a device) and Application (application scenario information of a product or a device). Specifically, when the digital twin sample semantic code corresponds to the category of Experience, it can specifically include: Manufacturer information (manufacturer information of a product), Vendor information (agent or intermediary information of a product), Integrator information (points information or score information of a product), User information (user information of a product), Real-time status (real-time status information or current status information of a product), Historical data retrieval (historical record information or traceability information of a product); when the digital twin sample semantic code corresponds to the category of Application, it can specifically include: Assembly scene (application site information of a product delivered to the user), Operation and maintenance records (maintenance and operation scenario information of a product after it is delivered to the user), More digital twin information (other digital twin information of a product), etc.

[0075] Furthermore, the digital assets in the technical solution of the present invention may include digital twin information, and mapping address information between the digital twin information and the first identifier or the second identifier.

[0076] In step S2, in general, the product domain knowledge formed in the product design phase is usually oriented towards product models and is common domain knowledge for equipment products of the same model; these static, domain, and explicit digital assets are stored in the manufacturer's or integrator's own enterprise server. Through product models and semantic domain tags (first domain identification information), a mapping is established between digital assets (digital assets stored in the manufacturer's or integrator's own enterprise server), the redefined identification information of digital assets (first identification), and the digital asset information storage address (the manufacturer's or integrator's own enterprise server address), so as to achieve accurate retrieval and application of digital asset information.

[0077] The domain knowledge formed in the manufacturing and integration stages is usually oriented towards the individual information of the equipment products, and is the individual domain knowledge exclusive to the digital twin knowledge of the equipment (i.e., the second domain identification information in the second identification); these static, domain, and explicit digital assets are stored in the manufacturer’s or integrator’s own enterprise server. Through product models and semantic domain tags (the second domain identification information in the second identification), that is, a mapping is established between digital assets (digital assets stored on the manufacturer’s or integrator’s own enterprise server), the redefined identification information of digital assets (second identification), and the digital asset information storage address (the manufacturer’s or integrator’s own enterprise server address), so as to achieve accurate retrieval and application of digital asset information.

[0078] After the equipment product is delivered to the user and put into service, the heterogeneous digital twin information of its daily operation and maintenance status (equipment working condition records, alarm experience, maintenance records, repair records, etc.) is integrated and unified in data format through the edge intelligent gateway and recorded in the user's workshop database. The access path and service entrance of the big data during the use of these equipment stored in the user's workshop database can be regarded as digital assets, and then given "identification" and registered in the "identification resolution system". Manufacturers and integrators can retrieve the working condition performance of the equipment during the service period at any time by retrieving the "knowledge domain label" extended from the equipment product identification, that is, establish a mapping between digital assets (digital asset information stored in the user's workshop database), the redefined identification information of digital assets (second identification), and the storage address of digital asset information (address of the user's workshop database). Through these dynamic and invisible knowledge, equipment working condition big data analysis is realized to improve the comprehensive performance of products.

[0079] In summary, based on the domain identification information of digital assets throughout the product life cycle, a mapping is established between digital assets, the redefined identification information of digital assets, and the digital asset information storage address. Through the first identification or second identification of the digital asset, the corresponding digital asset information storage address is obtained, and the corresponding digital asset is further obtained, thereby realizing the collaborative management of data assets throughout the product life cycle of multiple enterprises.

[0080] Preferably, different permissions can be set for the first identifier (first field identifier information) and the second identifier (second field identifier information). For example, the first identifier can be publicly retrieved and reused, and the second identifier is determined by its manager to have access rights. By setting the permissions for the first identifier and the second identifier, the collaborative management service function of digital assets for the entire industrial chain and product life cycle can be realized, and the knowledge sharing trust risk during the agile manufacturing cooperation of alliance enterprises can be reduced. It should be noted that the technical solution of the present invention is based on the mapping between digital assets, the redefined identifier information of digital assets, and the storage address of digital asset information, that is, the first identifier with the first field identifier information or the second identifier with the second field identifier information can be retrieved during retrieval to realize the management of digital assets; it can also be based on the mapping between digital assets, the first field identifier information of digital assets or the second field identifier information, and the storage address of digital asset information, that is, the first field identifier information or the second field identifier information can be directly retrieved during retrieval to realize the management of digital assets.

[0081] Application example: Company A needs to provide Company B with an FMS (flexible manufacturing system) flexible production line. A solution has been designed, which includes 5 horizontal machines, 5 sets of hydraulic fixtures, 1 six-joint robot, 1 robot walking track, 2 sets of buffer material tables, and 6 sets of material positions. Through the implementation of this solution, the automation level and production efficiency of the production process can be improved, and unmanned production can be realized. The confirmed solution layout is shown in Figure 6.

[0082] This FMS line design has many components. When it is delivered to the customer, in addition to the above-mentioned layout diagram, the following information is also required:

[0083] Process description:

[0084] Manual or AGV (Automated Guided Vehicle) trolleys deliver the blank parts (type A parts or type B parts) to the loading position, which automatically identifies the type of parts (assuming it is a type A part, if it is a type B part, 4# horizontal loading and 5# horizontal loading will be started);

[0085] The robot goes to the loading position, grabs a blank part and places it on the accompanying k1 buffer table;

[0086] Before the robot runs to the 1# horizontal mill, it grabs the semi-finished parts and places them on the accompanying k2 buffer table;

[0087] The robot puts the blank parts on the accompanying k1 buffer table into the 1# horizontal roughing process;

[0088] Before the robot runs to the flip cleaning equipment, it puts the semi-finished parts of the k2 buffer table into the equipment for cleaning and flipping;

[0089] After the flipping is completed, the robot grabs the semi-finished parts and places them on the accompanying k1 buffer table;

[0090] The robot runs to the transfer material position, puts the semi-finished parts of the k1 buffer table into the transfer material position, and the robot waits;

[0091] The robot grabs the semi-finished parts at the transfer position and puts them on the k1 buffer table, and runs to the front of the 2# horizontal feeder / 3# horizontal feeder;

[0092] The robot takes out the finished parts processed by 2# horizontal machining center / 3# horizontal machining center and places them on the k2 buffer table;

[0093] The robot puts the semi-finished parts from the k1 buffer table into the 2# horizontal machine / 3# horizontal machine for processing;

[0094] Before the robot runs to the flip cleaning equipment, it puts the finished parts of the k2 buffer table into the equipment for cleaning;

[0095] After cleaning, the robot grabs the semi-finished parts and places them on the k2 buffer table;

[0096] The robot moves to the unloading position and places the finished parts on the k2 buffer table to the unloading position;

[0097] After the unloading position is filled with finished products, the finished parts are taken away manually or by AGV;

[0098] FMS construction process Figure 7 As shown, it mainly includes the main engine factory, auxiliary machine factory and assembly factory, and the progress coordination control and information communication between the main engine factory, auxiliary machine factory and assembly factory are realized through control software.

[0099] List of equipment required for FMS construction:

[0100]

[0101]

[0102] Equipment details:

[0103] 1. Horizontal machining center

[0104] The horizontal machining center is an outsourced equipment. The assembly factory selects and purchases it based on the processing technology of the workpiece and by consulting the technical parameters of the horizontal machining center.

[0105] 2. Flip cleaning equipment

[0106] The flip cleaning equipment is purchased from outside. The assembly factory works with non-standard manufacturers to jointly design and review it based on the functional and size requirements, and then the non-standard manufacturers complete the processing, installation and debugging.

[0107] 3. Ground rail

[0108] The floor rail is a purchased part. The assembly factory requires non-standard manufacturers to complete the installation and commissioning based on the line size and load-bearing requirements.

[0109] 4. Robots

[0110] The robot is an externally purchased equipment. The assembly factory selects and purchases it based on the size and weight of the workpiece and by consulting the robot's technical parameters.

[0111] 5. Cache storage table

[0112] The buffer storage table is designed, processed, installed and debugged by the assembly factory.

[0113] 6. Material level

[0114] The material level is designed, processed, installed and debugged by the assembly factory.

[0115] 7. Master control system

[0116] The master control system consists of two parts: electrical and software, which are installed and debugged by the assembly plant.

[0117] The above part only contains part of the FMS line solution, which needs to be separately documented and classified according to the release date and packaged for the customer. The change records of different versions also need to be separately documented.

[0118] like Figure 8 As shown, in addition to the solution itself, the physical assets and digital assets contained in the FMS line also need to be delivered to the customer. These solution design ideas, communication records, change records, asset statistics records, equipment installation and commissioning records, and subsequent FMS delivery training, FMS production and processing records, FMS line maintenance records, etc. all need to be recorded and preserved in the form of text, voice or video. This information builds a huge knowledge system. Regardless of the time, people, events and other dimensions, this knowledge will have intricate connections, but it exists in scattered documents, audio, and video, which makes it difficult to quickly connect them when needed.

[0119] Looking only at the knowledge involved in the use of FMS, this knowledge can be simply divided into modules, as shown in the following table:

[0120]

[0121] By solving the identity identification of digital assets (digital twins or domain ontology knowledge information) through identification coding extension, all knowledge covered by the FMS line can be effectively stored in the database, and the knowledge graph technology can be used to realize the formal expression of domain knowledge and realize the knowledge expression method that can be understood by machines under the requirements of multimodal data.

[0122] It should be noted that the embodiments of the present invention are described using the machine tool industry as an example, but the scope of application is not limited to industrial automation fields such as the machine tool industry and the robotics industry, and is also applicable to other industrial fields such as automobiles, agricultural machinery, shipbuilding, aviation, etc.

[0123] The present invention effectively solves the problem of low efficiency in digital asset management during the entire product life cycle due to the lack of data relationship semantic description in the identification coding specification, and effectively improves the efficiency of digital asset management during the entire product life cycle.

[0124] The technical solution of the present invention redefines the existing identification of product digital assets and sets the domain identification information of digital assets throughout the product life cycle, specifically including: setting the domain identification information of digital assets in the identification suffix of the existing identification of product digital assets, which is fully compatible with the identification coding specification requirements of the existing Industrial Internet identification resolution system and can be directly applied to the current resolution technology platform; and achieving a breakthrough in the limitations of existing identification resolution for digital assets by expanding the meaning of enterprise-defined fields in the existing identification code specifications.

[0125] In the technical solution of the present invention, the first field identification information includes field semantic codes and attribute semantic codes, and the second field identification information includes product serial number codes and digital twin sample semantic codes. By introducing semantic codes in the identification information setting, the semantic code expressions have the characteristics of being explicit, easy to identify, and easy to unify. Moreover, the semantic identification codes are easy to calculate, identify, classify, and mine and refine, which is convenient for multi-collaborative management of digital asset content at all stages of the target product's life cycle, and easy for industrial chain alliance enterprises to achieve unified standards and specifications, reduce digital asset redundancy, and improve digital asset update efficiency and accuracy.

[0126] Embodiment 2

[0127] like Fig. 9 As shown, the technical solution of the present invention also provides a digital asset management device based on identification, which is used to realize digital asset management of the entire life cycle of a product, including:

[0128] The setting module 101 sets the domain identification information of the digital assets of the product throughout its life cycle by redefining the existing identification of the product digital assets; wherein the domain identification information of the digital assets includes first domain identification information and second domain identification information, the first domain identification information corresponds to the digital assets used to describe the common information of the product, and the second domain identification information corresponds to the digital assets used to describe the individual information of the product;

[0129] Establish module 102, establish the mapping between digital assets, the redefined identification information of digital assets, and the digital asset information storage address according to the domain identification information of digital assets in the whole life cycle of products, and realize the collaborative management of data assets in the whole life cycle of products of multiple enterprises.

[0130] The present invention effectively solves the problem of low efficiency in digital asset management during the entire product life cycle due to the lack of data relationship semantic description in the identification coding specification, and effectively improves the efficiency of digital asset management during the entire product life cycle.

[0131] The technical solution of the present invention redefines the existing identification of product digital assets and sets the domain identification information of digital assets throughout the product life cycle, specifically including: setting the domain identification information of digital assets in the identification suffix of the existing identification of product digital assets, which is fully compatible with the identification coding specification requirements of the existing Industrial Internet identification resolution system and can be directly applied to the current resolution technology platform; and achieving a breakthrough in the limitations of existing identification resolution for digital assets by expanding the meaning of enterprise-defined fields in the existing identification code specifications.

[0132] In the technical solution of the present invention, the first field identification information includes field semantic codes and attribute semantic codes, and the second field identification information includes product serial number codes and digital twin sample semantic codes. By introducing semantic codes in the identification information setting, the semantic code expressions have the characteristics of being explicit, easy to identify, and easy to unify. Moreover, the semantic identification codes are easy to calculate, identify, classify, and mine and refine, which is convenient for multi-collaborative management of digital asset content at all stages of the target product's life cycle, and easy for industrial chain alliance enterprises to achieve unified standards and specifications, reduce digital asset redundancy, and improve digital asset update efficiency and accuracy.

[0133] Embodiment 3

[0134] like Fig.10As shown, the technical solution of the present invention also provides an identification-based digital asset management system, which is implemented based on an identification-based digital asset management method in Example 1, and includes a cloud layer 21 and an enterprise layer 22 that are sequentially connected in communication, the cloud layer 21 includes a secondary node server 211, a digital twin server 212, and a national top-level node server 213, the enterprise layer 22 includes a first-class enterprise node 221, a second-class enterprise node 222, and a third-class enterprise node 223, the third-class enterprise node 223 establishes a user workshop database based on the product information obtained after user delivery, and establishes a second identification containing second field identification information based on the product information data in the user workshop database; the first-class enterprise node 221 obtains the first-class enterprise's The digital asset information is established by communicating with the secondary node server 211 to establish a first identifier including the first field identification information and a second identifier including the second field identification information; the second-category enterprise node 222 obtains the digital asset information of the second-category enterprise, and establishes a first identifier including the first field identification information and a second identifier including the second field identification information through communication with the secondary node server 211; the digital twin server 212 is respectively connected to the first-category enterprise node 221, the second-category enterprise node 222, the third-category enterprise node 223, and the secondary node server 211 for realizing the generation of digital asset information in the first-category enterprise node 221 or the generation of digital asset information in the second-category enterprise node 222, and the first-category enterprise node 221, Collaborative management of digital assets among the second-category enterprise node 222, the third-category enterprise node 223, and the secondary node server 211; the secondary node server 211 communicates and connects with the first-category enterprise node 221, the second-category enterprise node 222, the third-category enterprise node 223, the digital twin server 212, and the national top-level node server 213 respectively, establishes a first mapping relationship between the first identifier, the first digital asset information, and the storage address of the first digital asset information, and a second mapping relationship between the second identifier, the second digital asset information, and the storage address of the second digital asset information, and through recursive parsing of the first identifier with the first field identification information and the second identifier with the second field identification information, returns the first-category enterprise node 221 information or the second-category enterprise node 222 information or the third-category enterprise node 223 information where the digital asset information corresponding to the query request is located, thereby realizing collaborative management of data assets of multiple enterprises throughout the product life cycle.

[0135] The first mapping relationship and the second mapping relationship are respectively stored in a plurality of secondary node servers 211 , and the national top-level node server 213 stores the address information of the secondary node servers 211 where the first mapping relationship and the second mapping relationship are located.

[0136] Among them, the first-category enterprise node 221 obtains the digital asset information of physical asset equipment (which can be achieved through ontology modeling) in the first-category enterprise (manufacturers), and establishes a first identifier containing the first field identification information and a second identifier containing the second field identification information through communication with the secondary node server 211; the second-category enterprise node 222 obtains the digital asset information of physical asset equipment (which can be achieved through ontology reuse) in the second-category enterprise (integrators), and establishes a first identifier containing the first field identification information and a second identifier containing the second field identification information through communication with the secondary node server 211; the third-category enterprise node 223 establishes a user workshop database (set in the user workshop server) based on the obtained product information after user delivery, and establishes a second identifier containing the second field identification information based on the product information data in the user workshop database. The digital twin server 212 is respectively connected to the first-type enterprise node 221, the second-type enterprise node 222, the third-type enterprise node 223, and the secondary node server 211 for communication, so as to realize the generation of digital asset information in the first-type enterprise node 221 or the generation of digital asset information in the second-type enterprise node 222, and the collaborative communication management (Digital-twin collaboration, digital twin interaction) of digital assets among the first-type enterprise node 221, the second-type enterprise node 222, the third-type enterprise node 223, and the secondary node server 211.

[0137] Through recursive parsing of the first identifier with the first domain identifier information and the second identifier with the second domain identifier information, the first type enterprise node 221 information or the second type enterprise node 222 information or the third type enterprise node 223 information where the digital asset information corresponding to the query request is returned specifically includes:

[0138] The secondary node server 211 obtains the query request, determines the first identifier with the first field identification information or the second identifier with the second field identification information according to the query request, and obtains the first-category enterprise node 221 information or the second-category enterprise node 222 information or the third-category enterprise node 223 information where the corresponding digital asset information is located according to the first identifier or the second identifier.

[0139] Furthermore, the technical solution of the present invention provides an identification-based digital asset management system, which also includes an edge layer 23, and the edge layer 23 includes an edge intelligent gateway 231. The edge intelligent gateway 231 is communicatively connected with the third-category enterprise node 223, and is used to send the product information after user delivery obtained through the edge intelligent gateway 231 to the third-category enterprise node 223.

[0140] By solving the identity identification of digital assets (digital twin information or domain ontology knowledge information) through identification coding extension, all knowledge covered by the product or equipment can be effectively stored in a digital asset management system, and the knowledge graph technology can be used to realize the formal expression of domain knowledge, and the semantic knowledge expression method that can be understood by machines and equipment can be realized under the requirements of multimodal data.

[0141] Product manufacturers and integrators add semantic knowledge domain tags to the digital twin information of the equipment product design, manufacturing, and integration process (information that needs to be shared for industrial chain collaboration) according to the identification resolution rules, and register it in the "identification resolution system" on the secondary node server 211 to achieve the creation of a first identifier with the first domain identification information and a second identifier with the second domain identification information. In general, the product domain knowledge formed in the design phase is usually oriented to the product model, which is the common domain knowledge of the same model equipment products, and can create a first identifier with the first domain identification information; the domain knowledge formed in the manufacturing and integration phase is usually oriented to the individual equipment product, which is the product individual domain knowledge exclusive to the digital asset of the equipment, and can create a second identifier with the second domain identification information. These static, domain, and explicit digital assets are stored in the manufacturer or integrator's own enterprise server, and can be accurately retrieved and applied in the "identification resolution system" through product models and semantic domain tags (first domain identification information and second domain identification information), or directly through the first identifier with the first domain identification information and the second identifier with the second domain identification information.

[0142] After the equipment product is delivered to the user and put into service, the heterogeneous digital twin information of its daily operation and maintenance status (equipment working condition records, alarm experience, maintenance records, repair records, etc.) is integrated and unified in data format through the edge intelligent gateway 231, and recorded in the user workshop database on the third-type enterprise node 223 (user workshop server). The access path and service entrance of the big data stored in the use of these devices can be regarded as digital assets, and then the second identification with the second field identification information is set, which is also registered in the "identification resolution system". Manufacturers and integrators can retrieve the working condition performance of the equipment during the service period at any time by retrieving the "knowledge field tag" extended from the equipment product identification (the second field identification information in the second identification, the second identification with the second field identification information can be retrieved, or the second field identification information in the second identification can be directly retrieved). Through these dynamic and invisible knowledge, the big data analysis of equipment working conditions is realized to improve the comprehensive performance of the product.

[0143] The Industrial Internet Identity Resolution System (referred to as the "Identifier Resolution System") provides identity resolution management services for manufacturing digital asset resource objects, which can realize the digital asset identity registration (completed by the identity registration subsystem), identity resolution (completed by the identity resolution subsystem), identity agency (completed by the identity agency subsystem), data synchronization (implemented by the data synchronization subsystem), business management (completed by the business management subsystem) and other links and key steps. Among them, the identification registration subsystem mainly provides services such as identification coding, identification registration, and data query for products and equipment, and realizes identification management and query through an open API (Application Programming Interface) interface; the identification resolution subsystem provides the service address of the storage data information for user retrieval, or directly retrieves product information or services, and has cross-industry, cross-platform, and multi-application compatibility; the identification proxy service subsystem provides web-based data interaction and communication services between node servers in the cloud layer (secondary node server 211, digital twin server 212, national top-level node server 213), enterprise layer (first-class enterprise node 221, second-class enterprise node 222, third-class enterprise node 223), and edge layer; the data synchronization subsystem provides users with highly reliable and high-performance data interaction guarantees, mainly data synchronization between multiple secondary node servers 211; the business comprehensive management subsystem realizes access to the national top-level node server 213, and carries the tasks of identification allocation and review of each enterprise node (first-class enterprise node 221, second-class enterprise node 222, third-class enterprise node 223) of the enterprise layer 22.

[0144] Through the digital twin collaboration of industrial chain alliance enterprises based on the "identification resolution system": just like the Wikipedia platform realizes the collaborative management of public knowledge, the digital twin and domain knowledge archive creation and management of the target product's entire life cycle are completed in a collaborative way among industrial chain alliance enterprises. The common digital asset information of the product corresponding to the first identifier with the first domain identification information can be publicly retrieved and applied, and the digital asset information of the individual product corresponding to the second identifier with the second domain identification information is determined by its manager to determine the access rights, so as to realize the digital twin and domain knowledge collaborative service functions for the entire life cycle of the industrial chain and products, realize the accumulation and centralized management of digital assets of the entire industrial chain, and reduce the trust risk of knowledge sharing during the manufacturing cooperation of alliance enterprises.

[0145] Manufacturing resource identification can be used to retrieve information through recursive resolution. Recursive resolution iterates the responses returned by the authoritative resolution server until the enterprise application data is finally found, returned to the client, and the request results are cached locally.

[0146] Recursive identification resolution process:

[0147] The user initiates an identity query request to the recursive resolution service subsystem in the identity resolution system on a secondary node server 211 through an application on the client (which may be a peripheral device);

[0148] After receiving the request, the recursive resolution service subsystem analyzes the message from the client as a Handle or DNS protocol query request, and then initiates an identification resolution query to the national top-level node server 213;

[0149] The national top-level node server 213 returns the address information of the secondary node server 211 (the secondary node server storing the first mapping relationship and the second mapping relationship);

[0150] The recursive resolution service subsystem continues to initiate a query request to the secondary node server 211 (the secondary node server storing the first mapping relationship and the second mapping relationship) according to the result returned by the national top-level node server 213;

[0151] The secondary node server 211 (the secondary node server storing the first mapping relationship and the second mapping relationship) returns the result data (the address information of the secondary node server storing the first mapping relationship and the second mapping relationship) to the recursive resolution service subsystem, and the recursive resolution service subsystem obtains the address information of the secondary node server 211 (the secondary node server storing the first mapping relationship and the second mapping relationship) of the identifier;

[0152] The recursive resolution service subsystem initiates an identification query request to the secondary node server 211 (the secondary node server storing the first mapping relationship and the second mapping relationship), obtains the address of the enterprise node (the first type of enterprise node 221 or the second type of enterprise node 222 or the third type of enterprise node) storing the digital assets corresponding to the first identification or the second identification according to the first mapping relationship and the second mapping relationship, and returns the address of the enterprise node (the first type of enterprise node 221 or the second type of enterprise node 222 or the third type of enterprise node) storing the digital assets corresponding to the first identification with the first field identification information or the second identification with the second field identification information to the client;

[0153] The client links to the corresponding digital asset information based on the address of the enterprise node (first type enterprise node 221 or second type enterprise node 222 or third type enterprise node) storing the digital asset corresponding to the first identifier with the first domain identification information or the second identifier with the second domain identification information returned by the recursive resolution service subsystem.

[0154] An identification-based digital asset management system provided in the technical solution of the present invention realizes the digital twin and digital asset collaborative management service functions for the entire industrial chain and the entire life cycle of the product, realizes the centralized management of digital assets in the entire industrial chain, and reduces the trust risk of information sharing in the collaborative cooperation process of multiple enterprises in the industrial chain by setting the access rights of the first identification or the second identification corresponding to the digital asset.

[0155] Although the above describes the specific implementation mode of the present invention in conjunction with the accompanying drawings, it is not intended to limit the scope of protection of the present invention. Those skilled in the art should understand that various modifications or variations that can be made by those skilled in the art on the basis of the technical solution of the present invention without creative work are still within the scope of protection of the present invention.

Claims

1. A digital asset management method based on identification, characterized in that: include: By redefining the existing identification of the product digital assets, the field identification information of the digital assets of the entire life cycle of the product is set; wherein the field identification information of the digital assets includes the first field identification information and the second field identification information, the first field identification information corresponds to the digital assets used to describe the common information of the product, and the second field identification information corresponds to the digital assets used to describe the individual information of the product; wherein the field corresponding to the first field identification information includes but is not limited to product geometry information, product function information, product spectrum information, first-category fault information of the product, and first-category maintenance information of the product. The first-category fault information of the product is the general fault information that occurs before a certain model of product is delivered to the user, and the first-category maintenance information of the product is the general maintenance information that occurs before a certain model of product is delivered to the user; the field corresponding to the second field identification information includes but is not limited to product current working condition information, product production process traceability record information, second-category maintenance information of the product, and second-category fault information of the product. The second-category maintenance information of the product is the maintenance record information after a certain product is delivered to the user, and the second-category fault information of the product is the fault alarm record information after a certain product is delivered to the user; Based on the domain identification information of digital assets throughout the product life cycle, a mapping is established between digital assets, the redefined identification information of digital assets, and the digital asset information storage address to achieve collaborative management of data assets throughout the product life cycle of multiple enterprises.

2. According to the digital asset management method based on identity resolution according to claim 1, it is characterized in that: By redefining the existing identification of product digital assets, the domain identification information of digital assets throughout the product life cycle is set, including: In the identification suffix of the existing identification of the product digital asset, the domain identification information of the digital asset is set to form a first identification including the first domain identification information and a second identification including the second domain identification information.

3. According to the digital asset management method based on identity resolution according to claim 2, it is characterized in that: The first field identification information corresponds to the digital assets used to describe the common information before the product is delivered to the user: The first domain identification information includes a domain semantic code and an attribute semantic code. The attribute semantic code is used to describe the common attribute information of products, and the domain semantic code is used to determine the domain application scope of the attribute semantic code.

4. According to the digital asset management method based on identity resolution according to claim 2, it is characterized in that: The second field identification information corresponds to the digital asset used to describe the individual information after the product is delivered to the user: The second domain identification information includes a product serial number code and a digital twin sample semantic code. The product serial number code is used to describe the serial number code of an individual product, and the digital twin sample semantic code is used to describe the domain information of the product digital twin sample.

5. A digital asset management method based on identity resolution according to any one of claims 1 to 4, characterized in that: Digital assets include digital twin information and mapping address information between digital twin information and identifiers.

6. A digital asset management device based on identification, characterized in that: include: A setting module is used to set the domain identification information of the digital assets of the product throughout its life cycle by redefining the existing identification of the product digital assets; wherein the domain identification information of the digital assets includes first domain identification information and second domain identification information, wherein the first domain identification information corresponds to the digital assets used to describe the common information of the product, and the second domain identification information corresponds to the digital assets used to describe the individual information of the product; wherein the domain corresponding to the first domain identification information includes but is not limited to product geometry information, product function information, product spectrum information, first-category fault information of the product, and first-category maintenance information of the product, wherein the first-category fault information of the product is the general fault information that occurs before a certain model of product is delivered to the user, and the first-category maintenance information of the product is the general maintenance information that occurs before a certain model of product is delivered to the user; wherein the domain corresponding to the second domain identification information includes but is not limited to product current working condition information, product production process traceability record information, second-category maintenance information of the product, and second-category fault information of the product, wherein the second-category maintenance information of the product is the maintenance record information after a certain product is delivered to the user, and the second-category fault information of the product is the fault alarm record information after a certain product is delivered to the user; A module is established to map digital assets, their redefined identification information, and digital asset information storage addresses based on the domain identification information of digital assets throughout the product life cycle, thereby achieving collaborative management of data assets throughout the product life cycle of multiple enterprises.

7. A digital asset management system based on identification, characterized in that: The method is implemented based on an identification-based digital asset management method as described in any one of claims 1 to 5, comprising a cloud layer and an enterprise layer that are sequentially communicated and connected, the cloud layer comprising a secondary node server, a digital twin server, and a national top-level node server, the enterprise layer comprising a first-category enterprise node, a second-category enterprise node, and a third-category enterprise node, the third-category enterprise node establishes a user workshop database based on the product information obtained after user delivery, and establishes a second identification containing second-field identification information based on the product information data in the user workshop database; the first-category enterprise node obtains the digital asset information of the first-category enterprise, and establishes a second identification containing the first-field identification information through communication with the secondary node server. The first identifier of the domain identification information and the second identifier of the second domain identification information; the second-category enterprise node obtains the digital asset information of the second-category enterprise, and establishes a first identifier including the first domain identification information and a second identifier of the second domain identification information through communication with the secondary node server; the digital twin server is respectively communicated and connected with the first-category enterprise node, the second-category enterprise node, the third-category enterprise node, and the secondary node server, so as to realize the generation of digital asset information in the first-category enterprise node or the generation of digital asset information in the second-category enterprise node, as well as the collaborative management of digital assets among the first-category enterprise node, the second-category enterprise node, the third-category enterprise node, and the secondary node server; The secondary node server communicates and connects with the first-category enterprise node, the second-category enterprise node, the third-category enterprise node, the digital twin server, and the national top-level node server respectively, establishes a first mapping relationship between the first identifier, the first digital asset information, and the storage address of the first digital asset information, and a second mapping relationship between the second identifier, the second digital asset information, and the storage address of the second digital asset information, and returns the first-category enterprise node information or the second-category enterprise node information or the third-category enterprise node information where the digital asset information corresponding to the query request is located through recursive resolution of the first identifier and the second identifier, thereby realizing collaborative management of data assets throughout the product life cycle of multiple enterprises.

8. The identification-based digital asset management system according to claim 7, characterized in that: The first mapping relationship and the second mapping relationship are respectively stored in a plurality of secondary node servers, and the national top-level node server stores the address information of the secondary node servers where the first mapping relationship and the second mapping relationship are located.

9. The identification-based digital asset management system according to claim 8, characterized in that: The first type of enterprise node information, the second type of enterprise node information, or the third type of enterprise node information where the digital asset information corresponding to the query request is returned through recursive parsing of the first identifier and the second identifier specifically includes: The secondary node server obtains the query request, determines the first identifier with the first field identification information or the second identifier with the second field identification information according to the query request, and obtains the first-category enterprise node information or the second-category enterprise node information or the third-category enterprise node information where the corresponding digital asset information is located according to the first identifier or the second identifier.

10. A digital asset management system based on identification according to any one of claims 7 to 9, characterized in that: It also includes an edge layer, which includes an edge intelligent gateway. The edge intelligent gateway is communicatively connected to the third-category enterprise node and is used to send the product information after user delivery obtained through the edge intelligent gateway to the third-category enterprise node.

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