A data asset producer right confirmation method and device, computer equipment and medium

Abstract

The application relates to the technical field of data asset right confirmation, and discloses a data asset producer right confirmation method and device, computer equipment and a medium, the method comprising the following steps: acquiring physical space data and digital space data of a data asset producer in the process of producing data assets; synchronously processing the physical space data and the digital space data based on time sequence, extracting data features from the synchronously processed data, and establishing a data asset right confirmation data chain; when a data right confirmation instruction is received, calling the data asset right confirmation data chain, confirming the identity of the data asset producer, and performing right confirmation, the application can acquire the physical space data and the digital space data of the data asset producer in the process of producing data assets, comprehensively collect process data of producing data assets, accurately record a data asset production process, establish a data asset right confirmation data chain, perform right confirmation, protect the legal rights and interests of the data asset producer, and prevent data assets from being maliciously occupied.

Description

Technical Field

[0001] This invention relates to the field of data asset ownership confirmation technology, specifically to a method, apparatus, computer equipment, and medium for data asset producers to confirm their ownership. Background Technology

[0002] With the rapid development of the digital age, data assets have become a core resource for individuals and businesses. Throughout the data lifecycle—including production, circulation, and use—the importance of data ownership confirmation has become increasingly prominent. Data assets come from a wide range of complex sources, involving producers. However, existing data ownership confirmation methods have many drawbacks, such as only collecting environmental data from the data production process, requiring manual intervention in the confirmation process, difficulty in tracing data sources, and a lack of more precise ownership confirmation mechanisms. Therefore, how to clearly define data sources and confirm data asset ownership among producers has become a crucial issue. Summary of the Invention

[0003] In view of this, the present invention provides a method, apparatus, computer equipment and medium for confirming the rights of data asset producers, in order to solve the problem of how to confirm the rights of data asset producers.

[0004] In a first aspect, the present invention provides a method for confirming the rights of data asset producers, the method comprising:

[0005] Acquire the physical and digital spatial data of data asset producers during the data asset production process;

[0006] Based on time sequence, physical space data and digital space data are processed synchronously, data features are extracted from the synchronized data, and a data chain for confirming data asset rights is established.

[0007] When a data ownership confirmation instruction is received, the data asset ownership confirmation data chain is invoked to verify the identity of the data asset producer and to confirm ownership.

[0008] This invention provides a data source by acquiring physical and digital spatial data from data asset producers during the data asset production process. It comprehensively collects physical and digital spatial data from the production process, synchronizes the physical and digital spatial data based on time sequence, accurately records the data asset production process, and establishes a data asset ownership confirmation data chain to provide the source of the data assets. Upon receiving a data ownership confirmation instruction, the data asset ownership confirmation data chain is used to confirm ownership, thereby protecting the legitimate rights and interests of data asset producers and preventing the malicious misappropriation of data assets.

[0009] In one optional implementation, acquiring the physical space data of the data asset producer during the data asset production process includes:

[0010] Collect multimodal information about the physical space of data asset producers during the data asset production process;

[0011] By leveraging the cross-modal understanding capabilities of multimodal LLM models, physical space multimodal information is converted into text to obtain physical space data.

[0012] This invention collects physical space multimodal information from the production data asset process, covering various types of data, to more comprehensively reflect the data asset production process. It utilizes the cross-modal understanding capability of the multimodal LLM model to transform the form of physical space multimodal information, thereby reducing the amount of data while improving the model's adaptability and generalization ability.

[0013] In one optional implementation, the physical space data and digital space data are synchronized based on time sequence, including:

[0014] Every preset time interval, snapshots corresponding to physical space data and digital space data are created synchronously to build a dataset. The snapshots in the dataset are used to reflect changes in physical space data and digital space data.

[0015] This invention creates snapshots of physical and digital spatial data to reflect the dynamic changes in the data asset production process, providing data support for the confirmation of data asset ownership.

[0016] In one optional implementation, data features are extracted from the synchronized data to establish a data asset ownership confirmation data chain, including:

[0017] Perform hash operations on the synchronized data to construct feature vectors;

[0018] Establish a data chain for confirming data asset ownership using feature vectors.

[0019] This invention utilizes the uniqueness of hash values ​​to perform hash operations on synchronized data, enabling rapid determination of whether the data has been tampered with. By using feature vectors to establish a data asset ownership confirmation data chain, the amount of data is reduced, and relevant data can be quickly located when searching for data, thereby improving the efficiency of data retrieval.

[0020] In one optional implementation, after synchronously creating snapshots corresponding to physical space data and digital space data at preset intervals, the method further includes:

[0021] Random information is extracted from digital space data snapshots to generate data asset chain key pairs, which include a private key and a public key for the data asset chain.

[0022] Random information is extracted from physical space data snapshots to generate physical evidence chain key pairs, which include a physical evidence chain private key and a physical evidence chain public key.

[0023] The public key of the data asset chain and the private key of the physical evidence chain are combined and stored as evidence keys, which are then bound to the identity authentication of the digital asset producer.

[0024] The private key of the data asset chain and the public key of the physical evidence chain are combined and stored as the key for confirming ownership.

[0025] This invention utilizes data asset chain key pairs to associate with data assets, facilitating data asset management and ownership confirmation operations. It also utilizes physical evidence chain key pairs to associate with physical space, enabling the tracing of evidence sources. Furthermore, it binds evidence keys with the identity of data asset producers to ensure data security and reliability, prevent others from tampering with evidence, and generate ownership confirmation keys for ownership confirmation.

[0026] In one optional implementation, verifying the identity of the data asset producer and establishing ownership includes:

[0027] The identity of digital asset producers is bound to the evidence chain sequence, and the evidence chain sequence and the sequence retained in the data asset chain have a temporal synchronization relationship;

[0028] Cross-decrypt the physical evidence chain and the data asset chain to complete the confirmation of rights.

[0029] This invention uses a digital asset producer identity-bound evidence chain sequence to verify the user sequence and confirm the user's legitimacy. The temporal synchronization relationship between the evidence chain sequence and the data asset chain can prevent malicious operations by unauthorized users. By using cross-decryption, digital assets are verified and rights are confirmed, increasing the security and reliability of the rights confirmation process.

[0030] Secondly, the present invention provides a data asset producer ownership confirmation device, the device comprising:

[0031] The acquisition module is used to acquire the physical and digital spatial data of data asset producers during the data asset production process.

[0032] A module is established to synchronize physical space data and digital space data based on time sequence, extract data features from the synchronized data, and establish a data chain for confirming data asset ownership.

[0033] The rights confirmation module is used to call the data asset rights confirmation data chain when a data rights confirmation instruction is received, to confirm the identity of the data asset producer and to confirm the rights.

[0034] Thirdly, the present invention provides a computer device, including: a memory and a processor, the memory and the processor being communicatively connected to each other, the memory storing computer instructions, and the processor executing the computer instructions to perform the data asset producer rights confirmation method described in the first aspect or any corresponding embodiment thereof.

[0035] Fourthly, the present invention provides a computer-readable storage medium storing computer instructions for causing a computer to execute the data asset producer rights confirmation method described in the first aspect or any corresponding embodiment thereof.

[0036] Fifthly, the present invention provides a computer program product, including computer instructions, which are used to cause a computer to execute the data asset producer rights confirmation method described in the first aspect or any corresponding embodiment thereof. Attached Figure Description

[0037] To more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the specific embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0038] Figure 1 This is a flowchart illustrating the data asset producer ownership confirmation method according to an embodiment of the present invention;

[0039] Figure 2 This is a structural block diagram of a data asset producer ownership confirmation device according to an embodiment of the present invention;

[0040] Figure 3 This is a schematic diagram of the hardware structure of a computer device according to an embodiment of the present invention. Detailed Implementation

[0041] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0042] The following is an explanation of the technical terms:

[0043] Data assets: Data sets in cyberspace that possess data ownership (exploration rights, usage rights, ownership), are valuable, measurable, and readable;

[0044] Data asset attributes include physical attributes, existence attributes, and information attributes. Among them, physical attributes refer to the existence of data assets in binary form within storage media, occupying physical space; existence attributes refer to readability; and information attributes refer to the core value of data assets.

[0045] Data asset producers: the entities that participate in the data creation and modification processes of data assets;

[0046] Data asset producer ownership confirmation: factual confirmation of an entity's participation in the creation and modification of data assets;

[0047] Source-based rights confirmation: During the process of data asset producers creating and modifying data, objective factual evidence of the ownership relationship between the production subject and the data object is collected and integrated into the data asset in the form of digital signature watermark through encryption algorithms, providing an irrefutable and tamper-proof rights confirmation interface service.

[0048] According to an embodiment of the present invention, a method for confirming the rights of data asset producers is provided. It should be noted that the steps shown in the flowchart in the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions. Furthermore, although a logical order is shown in the flowchart, in some cases, the steps shown or described may be executed in a different order than that shown here.

[0049] This embodiment provides a method for confirming the ownership of data assets by producers. Figure 1 This is a flowchart of a data asset producer ownership confirmation method according to an embodiment of the present invention, such as... Figure 1 As shown, the process includes the following steps:

[0050] Step S101: Obtain physical space data and digital space data of the data asset producer during the data asset production process.

[0051] In this embodiment of the invention, during the production of data assets, the physical environment and digital space change. Physical space data includes audio, video, and other data, while digital space data includes documents and other file data. Taking a student classroom as an example, the data asset producers include teachers and students. The physical space is the classroom, where cameras are installed to capture the activities of teachers and students during class. The digital space is the classroom whiteboard, which is connected to a data interface. This data interface transmits the modification and deletion operations of lesson plans and other files displayed on the whiteboard by teachers or students. Other application scenarios include designers conducting design work on mobile devices and holding project review meetings; these are merely examples and not intended to be limiting.

[0052] Step S102: Based on time sequence, physical space data and digital space data are synchronized and processed, data features are extracted from the synchronized data, and a data chain for confirming data asset ownership is established.

[0053] In this embodiment of the invention, physical space data and digital space data at the same point in time or within a similar time range are linked and synchronized using timestamps as a reference. For example, when the timestamp of the creation of physical space data is entered, digital space data is simultaneously linked to form complete data. Data features are extracted from the synchronized data, and the extracted data features are used to construct a data asset ownership confirmation data chain according to a certain order or structure.

[0054] Step S103: When a data ownership confirmation instruction is received, the data asset ownership confirmation data chain is invoked to confirm the identity of the data asset producer and to confirm ownership.

[0055] In this embodiment of the invention, when ownership disputes or data asset transactions require confirmation of rights, the accumulated data asset confirmation data chain is invoked for verification to confirm the identity of the data asset producer and complete the confirmation of rights. For example, when confirming the rights to data for a certain class, if the class time, teacher characteristics, etc., recorded in the data asset confirmation data chain match teacher A's schedule and characteristics, or if the degree of matching reaches a preset value, then teacher A is determined to be the data asset producer, the confirmation record is established, and the confirmation of rights is completed.

[0056] The data asset producer ownership confirmation method provided in this embodiment obtains physical and digital space data from the data asset producer during the data asset production process, providing a data source to comprehensively collect physical and digital space data during the production process. Based on time sequence, the physical and digital space data are synchronized to accurately record the data asset production process, establish a data asset ownership confirmation data chain to provide the source of the data assets, and when a data ownership confirmation instruction is received, the data asset ownership confirmation data chain is used to confirm ownership, thereby protecting the legitimate rights and interests of the data asset producer and preventing the malicious misappropriation of data assets.

[0057] This embodiment provides a method for confirming the ownership of data assets by producers. The process includes the following steps:

[0058] Step S201: Obtain physical space data and digital space data of the data asset producer during the data asset production process.

[0059] Specifically, obtaining the physical space data of the data asset producer during the data asset production process in step S201 above includes:

[0060] Step S2011: Collect physical space multimodal information of data asset producers during the data asset production process.

[0061] Step S2012: Utilize the cross-modal understanding capability of the multimodal LLM model to convert the multimodal information of the physical space into text, thereby obtaining physical space data.

[0062] In this embodiment of the invention, physical space multimodal information includes visual information, auditory information, environmental information, etc. Taking a classroom teaching scenario as an example, visual information includes information such as the actions of teachers and students during the class; auditory information includes the teacher's explanation of knowledge and the voice of teacher-student interaction; and environmental information includes information such as classroom wallpaper, lighting, and the layout of objects in the classroom. To reduce the amount of data, the forms of physical space multimodal information are integrated into the text space. A large language model (LLM) is used, and cross-modal understanding capability is one of the core capabilities of the LLM. Different modal information is analyzed and processed in a unified manner, and the physical space multimodal information is converted into text. For example, a video of a teacher explaining a system of two linear equations in two variables is converted into a text description of the teacher explaining the system of two linear equations in two variables.

[0063] By collecting physical space multimodal information from the production data asset process, covering various types of data, the data asset production process is reflected more comprehensively. The cross-modal understanding capability of the multimodal LLM model is used to transform the form of physical space multimodal information, thereby reducing the amount of data while improving the model's adaptability and generalization ability.

[0064] Step S202: Based on time sequence, physical space data and digital space data are synchronized and processed, data features are extracted from the synchronized data, and a data chain for confirming data asset ownership is established.

[0065] Specifically, the time-series-based synchronization processing of physical space data and digital space data in step S202 above includes:

[0066] Step S2021: Snapshots corresponding to physical space data and digital space data are created synchronously at preset intervals to establish a dataset. The snapshots in the dataset are used to reflect changes in physical space data and digital space data.

[0067] In this embodiment of the invention, snapshots corresponding to physical space data and digital space data are periodically created at preset intervals. These snapshots record the state of the physical space data and digital space data at a specific moment. Snapshots corresponding to the physical space data and digital space data are created synchronously to achieve synchronization between the two data sets, establishing a dataset where adjacent snapshots reflect changes in the physical space data and digital space data.

[0068] By collecting physical space multimodal information from the production data asset process, covering various types of data, the data asset production process is reflected more comprehensively. The cross-modal understanding capability of the multimodal LLM model is used to transform the form of physical space multimodal information, thereby reducing the amount of data while improving the model's adaptability and generalization ability.

[0069] In some optional implementations, after synchronously creating snapshots corresponding to physical space data and digital space data at preset intervals, the method further includes:

[0070] Step S2022: Extract random information from the digital space data snapshot to generate a data asset chain key pair, wherein the data asset chain key pair includes a data asset chain private key and a data asset chain public key.

[0071] Step S2023: Extract random information from the physical space data snapshot to generate a physical evidence chain key pair, wherein the physical evidence chain key pair includes a physical evidence chain private key and a physical evidence chain public key.

[0072] Step S2024: The public key of the data asset chain and the private key of the physical evidence chain are combined and stored as evidence keys, which are then bound to the identity authentication of the digital asset producer.

[0073] Step S2025: The combination of the private key of the data asset chain and the public key of the physical evidence chain is stored as the ownership confirmation key.

[0074] In this embodiment of the invention, after generating snapshots corresponding to physical space data and digital space data, the following steps are performed:

[0075] (1) Extract random information from digital space data snapshots to generate data asset chain key pairs (DigiKey). priv DigiKey pub DigiKey priv DigiKey is a private key for the data asset chain. pub The public key for the data asset chain;

[0076] (2) Extract random information from physical space data snapshots to generate physical evidence chain key pairs (PhyKey). priv PhyKey pub PhyKey priv PhyKey is the private key for the physical evidence chain. pub The public key for the physical chain of evidence;

[0077] (3) Preservation of the evidence chain of digital asset producers (PhyKey) priv DigiKey pubThis serves as an evidentiary key, which is linked to the identity authentication of the digital asset producer.

[0078] (4) Data Asset Chain Retention (DigiKey) priv PhyKey pub () is used as the key for confirming ownership.

[0079] Data asset chain key pairs are associated with data assets to facilitate management and ownership confirmation. Physical evidence chain key pairs are associated with physical space to facilitate tracing the source of evidence. Evidence keys are bound to the identity of data asset producers to ensure data security and reliability, prevent others from tampering with evidence, and generate ownership confirmation keys for ownership confirmation.

[0080] Specifically, step S202 above, which involves extracting data features from the synchronized data and establishing a data asset ownership confirmation data chain, includes:

[0081] Step S2022: Perform a hash operation on the synchronized data to construct a feature vector.

[0082] Step S2023: Establish a data chain for confirming data asset ownership using feature vectors.

[0083] In this embodiment of the invention, data features are extracted from the synchronized data. Hash operations are used to extract these features, resulting in hash values. These hash values ​​serve as unique identifiers for the data, and feature vectors are constructed. Each feature vector contains information such as the hash value, timestamp, and data source. The hash value is used to identify the corresponding data. The first feature vector is used as the starting node of the data asset ownership confirmation data chain. Each newly generated feature vector is added to the data asset ownership confirmation data chain, thus constructing a complete data asset ownership confirmation data chain.

[0084] By leveraging the uniqueness of hash values, hash operations are performed on synchronized data to quickly determine whether the data has been tampered with. By using feature vectors to establish a data asset ownership confirmation data chain, the amount of data is reduced, and relevant data can be quickly located when searching for data, thereby improving the efficiency of data retrieval.

[0085] Step S205: When a data ownership confirmation instruction is received, the data asset ownership confirmation data chain is invoked to confirm the identity of the data asset producer and to confirm ownership.

[0086] Specifically, step S205 above, which confirms the identity of the data asset producer and establishes ownership, includes:

[0087] Step S2051: Bind the identity of the digital asset producer to the evidence chain sequence. The evidence chain sequence and the sequence stored in the data asset chain have a time synchronization relationship.

[0088] Step S2052: Cross-decrypt the physical evidence chain and the data asset chain to complete the confirmation of ownership.

[0089] In this embodiment of the invention, the processing steps for the confirmation of rights request are as follows:

[0090] (1) Evidence chain for binding the identity of digital asset producers <(PhyKey) priv DigiKey pub )> sequence;

[0091] (2) This sequence is related to the <(DigiKey) stored in the data asset chain. priv PhyKey pub The sequences have a temporal synchronization relationship;

[0092] (3) The key pairs retained by both parties can be combined to cross-decrypt the physical evidence chain and the data asset chain, thus completing the confirmation of rights.

[0093] The data asset producer ownership confirmation method provided in this embodiment binds the digital asset producer's identity to an evidence chain sequence to verify the user's legitimacy. The temporal synchronization relationship between the evidence chain sequence and the data asset chain can prevent malicious operations by unauthorized users. By using cross-decryption, the digital asset is verified and ownership is confirmed, increasing the security and reliability of the ownership confirmation process.

[0094] This embodiment also provides a data asset producer rights confirmation device, which is used to implement the above embodiments and preferred embodiments; details already described will not be repeated. As used below, the term "module" can be a combination of software and / or hardware that implements a predetermined function. Although the device described in the following embodiments is preferably implemented in software, hardware implementation, or a combination of software and hardware, is also possible and contemplated.

[0095] This embodiment provides a data asset producer ownership confirmation device, such as... Figure 2 As shown, it includes:

[0096] The acquisition module 201 is used to acquire the physical space data and digital space data of the data asset producer during the production process of the data asset.

[0097] Module 202 is established to synchronize physical space data and digital space data based on time sequence, extract data features from the synchronized data, and establish a data chain for confirming data asset rights.

[0098] The rights confirmation module 203 is used to call the data asset rights confirmation data chain when a data rights confirmation instruction is received, to confirm the identity of the data asset producer and to confirm the rights.

[0099] In some optional implementations, the acquisition module 201 includes:

[0100] The acquisition unit is used to collect physical space multimodal information of data asset producers during the data asset production process.

[0101] The form conversion unit is used to convert the form of multimodal information in physical space into text by leveraging the cross-modal understanding capability of the multimodal LLM model, thus obtaining physical space data.

[0102] In some alternative implementations, the establishment module 202 includes:

[0103] A creation unit is used to synchronously create snapshots of physical and digital spatial data at preset intervals, and to build a dataset. The snapshots in the dataset are used to reflect changes in physical and digital spatial data.

[0104] In some alternative implementations, the establishment module 202 further includes:

[0105] The building unit is used to perform hash operations on the synchronized data to build feature vectors.

[0106] Establishment unit, used to build a data chain for confirming data asset ownership using feature vectors.

[0107] In some alternative embodiments, the device further includes:

[0108] The first key pair generation module is used to extract random information from digital space data snapshots and generate data asset chain key pairs, which include data asset chain private keys and data asset chain public keys.

[0109] The second key pair generation module is used to extract random information from physical space data snapshots and generate physical evidence chain key pairs, which include physical evidence chain private keys and physical evidence chain public keys.

[0110] The first retention module is used to retain the combination of the public key of the data asset chain and the private key of the physical evidence chain as evidence keys, which are then bound to the identity authentication of the digital asset producer.

[0111] The second retention module is used to retain the combination of the private key of the data asset chain and the public key of the physical evidence chain as the key for confirming ownership.

[0112] In some optional implementations, the rights confirmation module 203 includes:

[0113] The binding unit is used to bind the identity of the digital asset producer to the evidence chain sequence. The evidence chain sequence and the sequence retained in the data asset chain have a time synchronization relationship.

[0114] The rights confirmation unit is used to cross-decrypt the physical evidence chain and the data asset chain to complete the rights confirmation.

[0115] Further functional descriptions of the above modules and units are the same as those in the corresponding embodiments described above, and will not be repeated here.

[0116] In this embodiment, the data asset producer ownership confirmation device is presented in the form of a functional unit. Here, a unit refers to an ASIC (Application Specific Integrated Circuit) circuit, a processor and memory that execute one or more software or fixed programs, and / or other devices that can provide the above functions.

[0117] This invention also provides a computer device having the above-described features. Figure 2 The device shown is for confirming the ownership of data assets by producers.

[0118] Please see Figure 3 , Figure 3 This is a schematic diagram of the structure of a computer device provided in an optional embodiment of the present invention, such as... Figure 3 As shown, the computer device includes one or more processors 10, memory 20, and interfaces for connecting the components, including high-speed interfaces and low-speed interfaces. The components communicate with each other via different buses and can be mounted on a common motherboard or otherwise installed as needed. The processors can process instructions executed within the computer device, including instructions stored in or on memory to display graphical information of a GUI on external input / output devices (such as display devices coupled to the interfaces). In some alternative implementations, multiple processors and / or multiple buses can be used with multiple memories and multiple memory modules, if desired. Similarly, multiple computer devices can be connected, each providing some of the necessary operations (e.g., as a server array, a group of blade servers, or a multiprocessor system). Figure 3 Take a processor 10 as an example.

[0119] Processor 10 may be a central processing unit, a network processor, or a combination thereof. Processor 10 may further include a hardware chip. The hardware chip may be an application-specific integrated circuit (ASIC), a programmable logic device (PLD), or a combination thereof. The programmable logic device may be a complex programmable logic device (CAMP), a field-programmable gate array (FPGA), a general-purpose array logic (GDA), or any combination thereof.

[0120] The memory 20 stores instructions executable by at least one processor 10 to cause at least one processor 10 to perform the method shown in the above embodiments.

[0121] The memory 20 may include a program storage area and a data storage area. The program storage area may store the operating system and applications required for at least one function; the data storage area may store data created based on the use of the computer device. Furthermore, the memory 20 may include high-speed random access memory and may also include non-transitory memory, such as at least one disk storage device, flash memory device, or other non-transitory solid-state storage device. In some alternative embodiments, the memory 20 may optionally include memory remotely located relative to the processor 10, and these remote memories may be connected to the computer device via a network. Examples of such networks include, but are not limited to, the Internet, intranets, local area networks, mobile communication networks, and combinations thereof.

[0122] The memory 20 may include volatile memory, such as random access memory; the memory may also include non-volatile memory, such as flash memory, hard disk or solid-state drive; the memory 20 may also include a combination of the above types of memory.

[0123] The computer device also includes an input device 30 and an output device 40. The processor 10, memory 20, input device 30, and output device 40 can be connected via a bus or other means. Figure 3 Taking the example of a connection between China and Israel via a bus.

[0124] Input device 30 can receive input numerical or character information, and generate key signal inputs related to user settings and function control of the computer device, such as a touch screen. Output device 40 may include a display device, etc.

[0125] This invention also provides a computer-readable storage medium. The methods described above according to embodiments of the invention can be implemented in hardware or firmware, or implemented as computer code that can be recorded on a storage medium, or implemented as computer code downloaded via a network and originally stored on a remote storage medium or a non-transitory machine-readable storage medium and then stored on a local storage medium. Thus, the methods described herein can be processed by software stored on a storage medium using a general-purpose computer, a dedicated processor, or programmable or dedicated hardware. The storage medium can be a magnetic disk, optical disk, read-only memory, random access memory, flash memory, hard disk, or solid-state drive, etc.; further, the storage medium can also include combinations of the above types of memory. It is understood that computers, processors, microprocessor controllers, or programmable hardware include storage components capable of storing or receiving software or computer code, which, when accessed and executed by the computer, processor, or hardware, implements the methods shown in the above embodiments.

[0126] A portion of this invention can be applied as a computer program product, such as computer program instructions, which, when executed by a computer, can invoke or provide the methods and / or technical solutions according to the invention through the operation of the computer. Those skilled in the art will understand that the forms in which computer program instructions exist in a computer-readable medium include, but are not limited to, source files, executable files, installation package files, etc. Correspondingly, the ways in which computer program instructions are executed by a computer include, but are not limited to: the computer directly executing the instructions, or the computer compiling the instructions and then executing the corresponding compiled program, or the computer reading and executing the instructions, or the computer reading and installing the instructions and then executing the corresponding installed program. Here, the computer-readable medium can be any available computer-readable storage medium or communication medium accessible to a computer.

[0127] Although embodiments of the invention have been described in conjunction with the accompanying drawings, those skilled in the art can make various modifications and variations without departing from the spirit and scope of the invention, and such modifications and variations all fall within the scope of this application.

Claims

1. A method for confirming the rights of data asset producers, characterized in that, The method includes: Acquire the physical and digital spatial data of data asset producers during the data asset production process; Based on time sequence, the physical space data and digital space data are synchronized and processed, data features are extracted from the synchronized data, and a data asset ownership confirmation data chain is established. When a data ownership confirmation instruction is received, the data asset ownership confirmation data chain is invoked to confirm the identity of the data asset producer and to confirm ownership. The time-series-based synchronization of the physical space data and digital space data includes: Every preset time interval, snapshots corresponding to the physical space data and the digital space data are synchronously created to establish a dataset. The snapshots in the dataset are used to reflect the changes in the physical space data and the digital space data. After synchronously creating snapshots corresponding to the physical space data and the digital space data at preset intervals, the method further includes: Random information is extracted from digital space data snapshots to generate data asset chain key pairs, which include a data asset chain private key and a data asset chain public key. Random information is extracted from physical space data snapshots to generate physical evidence chain key pairs, which include a physical evidence chain private key and a physical evidence chain public key; The public key of the data asset chain and the private key of the physical evidence chain are combined and stored as evidence keys, which are then bound to the identity authentication of the digital asset producer. The private key of the data asset chain and the public key of the physical evidence chain are combined and stored as the key for confirming ownership. The process of confirming the identity of the data asset producer and establishing ownership includes: The identity of the digital asset producer is bound to the evidence chain sequence, and the evidence chain sequence and the sequence retained in the data asset chain have a time synchronization relationship; Cross-decrypt the physical evidence chain and the data asset chain to complete the confirmation of rights.

2. The method according to claim 1, characterized in that, The acquisition of physical space data by data asset producers during the data asset production process includes: Collect multimodal information about the physical space of data asset producers during the data asset production process; By leveraging the cross-modal understanding capabilities of the multimodal LLM model, the physical space multimodal information is converted into text to obtain physical space data.

3. The method according to claim 1, characterized in that, The process of extracting data features from the synchronized data and establishing a data chain for data asset ownership confirmation includes: Perform hash operations on the synchronized data to construct feature vectors; The aforementioned feature vectors are used to establish a data chain for confirming data asset ownership.

4. A data asset producer ownership confirmation device, characterized in that, The device includes: The acquisition module is used to acquire the physical and digital spatial data of data asset producers during the data asset production process. A module is established to synchronize the physical space data and digital space data based on time sequence, extract data features from the synchronized data, and establish a data asset ownership confirmation data chain. The rights confirmation module is used to call the data asset rights confirmation data chain when a data rights confirmation instruction is received to confirm the identity of the data asset producer and perform rights confirmation. The establishment module is specifically used to: synchronously create snapshots corresponding to the physical space data and the digital space data at preset intervals, and establish a dataset. The snapshots in the dataset are used to reflect the changes in the physical space data and the digital space data. The device further includes: The first key pair generation module is used to extract random information from digital space data snapshots and generate data asset chain key pairs, wherein the data asset chain key pairs include a data asset chain private key and a data asset chain public key. The second key pair generation module is used to extract random information from physical space data snapshots and generate physical evidence chain key pairs, wherein the physical evidence chain key pairs include a physical evidence chain private key and a physical evidence chain public key. The first retention module is used to retain the combination of the public key of the data asset chain and the private key of the physical evidence chain as an evidence key, which is bound to the identity authentication of the digital asset producer. The second retention module is used to retain the combination of the private key of the data asset chain and the public key of the physical evidence chain as the ownership confirmation key. The rights confirmation module is specifically used to: bind the identity of the digital asset producer to the evidence chain sequence, wherein the evidence chain sequence and the sequence retained by the data asset chain have a temporal synchronization relationship; cross-decrypt the physical evidence chain and the data asset chain to complete the rights confirmation.

5. A computer device, characterized in that, include: A memory and a processor are interconnected, the memory stores computer instructions, and the processor executes the computer instructions to perform the data asset producer ownership confirmation method according to any one of claims 1 to 3.

6. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer instructions for causing a computer to execute the data asset producer ownership confirmation method according to any one of claims 1 to 3.

7. A computer program product, characterized in that, It includes computer instructions for causing a computer to execute the data asset producer ownership confirmation method according to any one of claims 1 to 3.

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