Blockchain-driven digital asset ownership right confirmation and trusted verification method and system

Abstract

The application discloses a blockchain-driven digital asset ownership right confirmation and credible verification method and system. The method of the scheme standardizes and encapsulates a digital asset of a to-be-confirmed scenic spot, generates a scenic spot digital asset benchmark identifier, collects scenic spot content production evidence, scenic spot platform publishing evidence, tourist interaction evidence, authorized operation evidence and transaction flow evidence, constructs an ownership evidence graph, calculates ownership credibility and right range credibility, determines a right confirmation state, and writes a state digest into a blockchain. In the verification stage, a credible verification result and a scenic spot scene credible verification token are generated based on a hierarchical fingerprint matching result, a right confirmation state and an ownership state serial number. The scheme can realize unified right confirmation, credible verification, right interest state identification and dispute risk control of the digital asset of the scenic spot.

Description

Technical Field

[0001] This invention relates to the fields of blockchain technology, digital asset ownership confirmation and cultural tourism digitization technology, and in particular to a blockchain-driven method and system for digital asset ownership confirmation and trusted verification. Background Technology

[0002] As the digital operation of scenic spots continues to deepen, digital assets such as official images, promotional videos, audio guides, digital commemorative tickets, digital badges, activity participation vouchers, membership certificates, cultural and creative digital derivatives, and content co-created by tourists are rapidly increasing. Existing technical solutions related to scenic spots primarily focus on on-chain transactions of scenic spot tickets and tourism-related products, digital debt certificate transactions, dynamic NFT evolution, cross-scenic spot rights mutual recognition, and dynamic digital collectibles. However, shortcomings remain in areas such as unified confirmation of ownership of multimodal digital assets in scenic spots, expression of complex rights scope, inclusion of tourist interaction evidence in rights confirmation, verification of the verifiability of rights, and control of disputed states. Summary of the Invention

[0003] In view of this, the purpose of this invention is to propose a blockchain-driven method and system for confirming and verifying the ownership of digital assets. This solution standardizes and encapsulates the digital assets of scenic spots, collects evidence of content production, platform release, tourist interaction, authorized operation, and transaction flow, constructs an ownership evidence graph, calculates the credibility of ownership and the credibility of the scope of rights, and combines phased ownership status management, on-chain anchoring and off-chain encrypted storage, dispute freezing, and scenic spot scenario-based trusted verification tokens to achieve trusted ownership confirmation and trusted verification management of digital assets of scenic spots.

[0004] To achieve the above-mentioned technical objectives, the technical solution adopted by this invention is as follows: A blockchain-driven method for confirming and verifying the ownership of digital assets, applied to digital assets in scenic areas, includes: S1. Receive the digital assets of the scenic area to be confirmed, standardize and encapsulate the digital assets of the scenic area to be confirmed, extract fingerprint information and metadata summary, and generate a benchmark identifier for the scenic area digital assets based on the fingerprint information and metadata summary. S2. Collect multi-source ownership evidence related to the digital assets of the scenic area to be confirmed, and convert the multi-source ownership evidence into a unified evidence tuple; S3. Based on the aforementioned scenic area digital asset benchmark identifier and unified evidence tuple, and combined with the relevant subject information of the scenic area digital asset, construct an ownership evidence map; S4. Based on the ownership evidence map, calculate the ownership credibility of the current applicant for the digital assets of the scenic area to be confirmed and the credibility of the scope of rights corresponding to at least one right item, and determine the confirmation status of the digital assets of the scenic area to be confirmed and the current confirmation right holder based on the ownership credibility and the scope of rights credibility. S5. Determine the root summary of ownership evidence based on the unified evidence tuple, determine the summary of the scope of rights based on the credibility of the scope of rights, and then write the root summary of ownership evidence, the summary of the scope of rights, the benchmark identifier of the scenic area digital asset, the confirmation status, and the current confirmation of rights subject identifier summary, ownership status sequence number and timestamp into the blockchain. S6. Upon receiving a verification request from the verification requester, preprocess and extract fingerprints from the digital assets of the scenic area to be verified in the verification request. Match the extracted fingerprints with the fingerprint information extracted when generating the baseline identifier of the scenic area digital assets to obtain a matching result. Combine the verification results of the confirmation status and ownership status sequence number to generate a trusted verification result.

[0005] As one possible implementation method, the digital assets of the scenic area described in this solution further include: official images of the scenic area, promotional videos of the scenic area, audio guides, electronic guide maps, AR guide content, digital commemorative tickets, digital badges, digital collectibles themed around the scenic area, activity participation certificates, membership certificates, cultural and creative digital derivative content and / or content co-created by tourists; In step S1, the fingerprint information includes global semantic fingerprint, structural fingerprint, and local fragment fingerprint.

[0006] As a possible implementation method, further, in step S2 of this solution, the multi-source ownership evidence includes at least evidence of scenic area content production, evidence of scenic area platform release, evidence of tourist interaction, evidence of authorized operation, and evidence of transaction flow.

[0007] The evidence of content production in the scenic area includes at least the records of the content collection terminal, the content editing log, the first generation timestamp, the signature record of the shooting equipment, and / or the content review record.

[0008] The evidence published by the scenic area platform includes at least the records published on the scenic area's official website, the records published on the scenic area's mini-program, the records displayed on the ticketing platform, and / or the records synchronized on the cultural and tourism platform.

[0009] The evidence of tourist interaction includes at least scanning records, verification records, tour route summaries, activity check-in records, and / or interactive task completion records; In step S2, the unified evidence tuple includes at least the evidence source subject, the object of evidence application, the evidence representation behavior, the timestamp, the evidence load summary, and / or the integrity check value.

[0010] As a possible implementation, further, in this solution S3, the ownership evidence map includes at least subject nodes, asset nodes, version nodes, rights nodes, event nodes and / or evidence nodes, as well as creation relationship edges, publication relationship edges, authorization relationship edges, transfer relationship edges, derivative relationship edges, rights realization relationship edges and / or conflict relationship edges between nodes.

[0011] As a possible implementation, further, in step S4 of this scheme, the ownership credibility is jointly determined by the source credibility of various types of evidence, temporal continuity, cryptographic integrity, subject consistency, scenic area business closed-loop consistency and / or conflict intensity; The credibility of the scope of rights is used to characterize the validity and / or closure of at least one of the rights items corresponding to the digital assets of the scenic area, including the right of display, the right of dissemination, the right of issuance, the right of exchange, the right of use, and the right of sublicensing.

[0012] As one possible implementation, further, in step S4 of this solution, the confirmation status includes at least one of the following: pending review status, pre-confirmation status, formal confirmation status, and disputed freeze status. When the strength of conflicting evidence is detected to reach a preset threshold, the confirmation status of the digital asset of the scenic area to be confirmed will be switched to the disputed freeze status, and the transfer registration, rights realization registration or re-authorization registration of the digital asset of the scenic area will be suspended. Before the pre-confirmation of ownership status is transferred to the formal confirmation of ownership status, a public notice step is also included; if no valid objection is received within the preset public notice period, or if the objection received is processed and does not affect the current ownership conclusion, the pre-confirmation of ownership status is transferred to the formal confirmation of ownership status.

[0013] As a possible implementation method, further in this solution S5, the original evidence files and graph calculation results corresponding to the multi-source ownership evidence are also encrypted and stored in an off-chain evidence library.

[0014] As one possible implementation, further, in this solution S6, the credible verification result includes the authenticity verification conclusion, the current rights status verification result, and the revocation validity verification conclusion; In step S6, the credible verification result includes one or more of the following: authenticity conclusion, current rights holder conclusion, scope of rights conclusion, version or derivative relationship conclusion, rights redeemable status conclusion, and dispute status conclusion.

[0015] As a preferred alternative implementation, this solution further includes: S7. Generate a scenic area scene trusted verification token based on the trusted verification result, and return the scenic area scene trusted verification token to the verification requester. The information contained in the scenic area scene trusted verification token includes at least the scenic area digital asset benchmark identifier, the current confirmed rights holder identifier summary, the rights scope summary, the rights confirmation status, the version serial number, and / or the signature result.

[0016] As a preferred implementation method, in step S7 of this solution, the scenic area scene trusted verification token is a selective disclosure token. For different verification scenarios such as scenic area entry verification, activity participation verification, digital collection display verification, cross-scenic area rights mutual recognition verification, and platform listing review verification, only the rights field, rights field, and status field related to the corresponding scenario are output.

[0017] In addition to the above, the method of this scheme may also include a digital asset update step for scenic spots, specifically: when the digital assets of scenic spots undergo content version updates, changes in rights and interests rules, adjustments to the scope of authorization, linkage of scenic spot activities, cross-scenic spot mutual recognition, or tourist co-creation and derivation, new event nodes and rights relationship edges are added to the ownership evidence graph, and the rights scope summary, confirmation status, and version serial number in the blockchain are updated.

[0018] Based on the above, this solution also proposes a blockchain-driven digital asset ownership confirmation and trusted verification system, which includes: The data normalization module is used to receive digital assets of scenic spots to be confirmed, to standardize and encapsulate the digital assets of scenic spots to be confirmed, to extract fingerprint information and metadata digests, and to generate a benchmark identifier for scenic spot digital assets based on the fingerprint information and metadata digests. The multi-source evidence collection module is used to collect multi-source ownership evidence related to the digital assets of the scenic area to be confirmed, and to convert the multi-source ownership evidence into a unified evidence tuple. The ownership evidence map construction module is used to construct an ownership evidence map based on the benchmark identifier and unified evidence tuple of the scenic area digital assets, combined with the relevant subject information of the scenic area digital assets. The ownership credibility calculation module is used to calculate the ownership credibility of the current applicant for the digital asset of the scenic area to be confirmed and the credibility of the scope of rights corresponding to at least one right item based on the ownership evidence map, and to determine the confirmation status of the digital asset of the scenic area to be confirmed and the current confirmation right holder based on the ownership credibility and the scope of rights. The on-chain rights confirmation status management module is used to determine the root digest of ownership evidence based on the unified evidence tuple, determine the digest of the scope of rights based on the credibility of the scope of rights, and then write the root digest of ownership evidence, the digest of the scope of rights, the benchmark identifier of the scenic spot digital asset, the rights confirmation status, and the current rights confirmation subject identifier digest, ownership status sequence number and timestamp into the blockchain; The off-chain evidence library module includes an off-chain evidence library, which is used to encrypt and store the original evidence files and graph calculation results corresponding to the multi-source ownership evidence; The verification service module is used to preprocess and extract fingerprints of the scenic area digital assets to be verified in the verification request when it receives a verification request from the verification requester. The extracted fingerprints are matched with the fingerprint information extracted when the benchmark identifier of the scenic area digital assets is generated to obtain the matching result. Combined with the verification results of the confirmation status and ownership status sequence number, a reliable verification result is generated.

[0019] As a preferred implementation method, the system of this solution further includes: The trusted verification token generation module is used to generate and output trusted verification tokens for scenic area scenarios.

[0020] By adopting the above technical solution, the present invention has the following beneficial effects compared with the prior art: This solution constructs a multi-source ownership evidence map for digital assets of scenic spots, combines the joint calculation of ownership credibility and the credibility of the scope of rights, phased confirmation status management, on-chain anchoring and off-chain encrypted storage mechanism, and scenic spot scene trusted verification token mechanism, which can realize unified confirmation of rights, trusted verification, rights status identification and dispute risk control of digital assets of scenic spots, and significantly improve the accuracy, security, interpretability and engineering applicability of digital asset management of scenic spots.

[0021] Current digital asset solutions for scenic areas mostly focus on tickets, digital debt certificates, or dynamic digital collectibles, lacking a unified ownership mechanism for various types of digital assets, including official scenic area materials, guide content, visitor interactive content, and activity benefits. This solution, however, achieves unified identification and ownership of multimodal digital assets of scenic areas through standardized encapsulation and multi-layered fingerprint extraction. Existing research also points out the lack of unified ownership standards for multimodal content such as text, images, and videos within scenic areas.

[0022] This solution integrates evidence of content production, platform release, tourist interaction, authorized operation, and transaction into a unified ownership evidence map, enabling the confirmation of ownership of digital assets in scenic areas to no longer rely solely on a single registration relationship or a single certificate, but to make a comprehensive judgment based on the scenic area's operational chain.

[0023] Furthermore, unlike existing solutions that only provide information such as "whether assets are held" or "whether registration was successful," this solution not only outputs the authenticity, current rights holder, and scope of rights, but also whether scenic area activity rights, membership rights, and redemption rights are in a redeemable state. This makes it more suitable for application scenarios such as digital commemorative tickets, digital badges, activity participation vouchers, and benefit packages for scenic areas. Existing scenic area digital asset solutions already show a trend towards mutual recognition of digital rights and continuous service provision.

[0024] Regarding the segmented management of ownership status, this solution employs a phased approach, encompassing pending review, pre-ownership confirmation, formal ownership confirmation, and disputed freezing. When conflicting evidence arises, the transfer, exchange, or re-authorization of relevant scenic area digital assets is automatically frozen, effectively reducing the risk of erroneous spread during unresolved disputes. Furthermore, this solution combines on-chain anchoring with off-chain encrypted storage. This leverages the immutability of blockchain to enhance the credibility of the stored evidence for scenic area digital assets while avoiding the direct uploading of large amounts of original scenic area evidence to the blockchain, thus improving storage efficiency and data security. Existing blockchain asset ownership confirmation solutions also demonstrate the significant advantages of blockchain in terms of tamper-proofing and traceability.

[0025] Finally, this solution achieves on-demand verification through a trusted verification token for scenic area scenarios. The verifier only obtains the rights, interests, and status fields related to the current verification scenario, thus balancing verification efficiency, tourist privacy protection, and protection of sensitive commercial information of the scenic area. Attached Figure Description

[0026] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0027] Figure 1 This is one of the simplified implementation flowcharts of this solution; Figure 2 This is the second simplified implementation flowchart of this solution; Figure 3 This is one of the simplified connection diagrams of the unit modules of this system; Figure 4 This is the second simplified connection diagram of the unit modules of this system. Detailed Implementation

[0028] The present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be particularly noted that the following embodiments are for illustrative purposes only and do not limit the scope of the invention. Similarly, the following embodiments are only some, not all, embodiments of the present invention, and all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0029] like Figure 1 As shown in the figure, this embodiment presents a blockchain-driven method for confirming and verifying the ownership of digital assets, applied to digital assets in scenic areas, which includes: S1. Receive the digital assets of the scenic area to be confirmed, standardize and encapsulate the digital assets of the scenic area to be confirmed, extract fingerprint information and metadata summary, and generate a benchmark identifier for the scenic area digital assets based on the fingerprint information and metadata summary. S2. Collect multi-source ownership evidence related to the digital assets of the scenic area to be confirmed, and convert the multi-source ownership evidence into a unified evidence tuple; S3. Based on the aforementioned scenic area digital asset benchmark identifier and unified evidence tuple, and combined with the relevant subject information of the scenic area digital asset, construct an ownership evidence map; S4. Based on the ownership evidence map, calculate the ownership credibility of the current applicant for the digital assets of the scenic area to be confirmed and the credibility of the scope of rights corresponding to at least one right item, and determine the confirmation status of the digital assets of the scenic area to be confirmed and the current confirmation right holder based on the ownership credibility and the scope of rights credibility. S5. Determine the root summary of ownership evidence based on the unified evidence tuple, determine the summary of the scope of rights based on the credibility of the scope of rights, and then write the root summary of ownership evidence, the summary of the scope of rights, the benchmark identifier of the scenic area digital asset, the confirmation status, and the current confirmation of rights subject identifier summary, ownership status sequence number and timestamp into the blockchain. S6. Upon receiving a verification request from the verification requester, preprocess and extract fingerprints from the digital assets of the scenic area to be verified in the verification request. Match the extracted fingerprints with the fingerprint information extracted when generating the baseline identifier of the scenic area digital assets to obtain a matching result. Combine the verification results of the confirmation status and ownership status sequence number to generate a trusted verification result.

[0030] In this solution, the scenic area's digital assets include: official scenic area images, promotional videos, audio guides, electronic guide maps, AR guide content, digital commemorative tickets, digital badges, scenic area-themed digital collectibles, activity participation vouchers, membership vouchers, cultural and creative digital derivative content, and / or content co-created by tourists.

[0031] Regarding fingerprint information, in step S1 of this scheme, the fingerprint information includes one or more of the following: global semantic fingerprint, structural fingerprint, and local fragment fingerprint.

[0032] Because scenic area digital assets exhibit significant multimodal, multi-version, and multi-source characteristics, using the hash of the original file's byte stream as a unique identifier can easily lead to the same asset being mistaken for different assets due to changes in compression methods, encapsulation formats, metadata fields, partial screen adjustments, subtitle changes, or audio / video transcoding. Furthermore, it can result in a lack of stable mapping between derived versions and the original version.

[0033] As an example of a possible implementation, further, in step S1 of this solution, the purpose of standardizing and encapsulating the digital assets of the scenic area is to give the digital assets of the scenic area a standardized representation that is cross-format, cross-platform, and takes into account semantic stability, and to generate a unified benchmark identifier that can support subsequent evidence collection, graph modeling, and credible verification.

[0034] As an example, step S1 of this solution includes: In this step, we first receive the digital assets of the scenic area to be registered. The aforementioned scenic area digital assets These can be official scenic area images, promotional videos, audio guides, scenic area maps, AR materials, digital commemorative tickets, digital badges, event vouchers, membership benefits, or content co-created by tourists.

[0035] Subsequently, the digital assets of the scenic area Perform normalized encapsulation processing to form a standard asset package. This normalized encapsulation includes at least the following processes: S1.1 Content Layer Normalization The original content is formatted and normalized.

[0036] For image assets, use a unified color space, resolution sampling method, and compression parameter extraction rules. For video assets, the keyframe extraction interval, audio and video stream separation method, and timeline expression method are unified; For audio assets, the sampling rate, frame length, and spectral window function parameters are standardized. For text-based or ticket-based assets, use unified character encoding, field order, and layout logic.

[0037] Finally, the processed assets are recorded as follows:

[0038] in, This represents the standardized digital assets of the scenic area; This indicates a normalized mapping.

[0039] S1.2 Metadata Layer Normalization Extract and standardize asset metadata to obtain a metadata set. The metadata shall include at least one of the following: scenic area identifier, asset type, creation time, version number, data collection device identifier, creator identifier, rights statement identifier, activity association identifier, and rights and interests rule identifier.

[0040] Let the standardized metadata set be:

[0041] in, This represents the standardized set of metadata; This represents a standardized metadata mapping.

[0042] S1.3 Multi-layer fingerprint extraction To avoid the inability of a single hash to handle the diversity of digital assets in scenic areas, this implementation method adopts a three-layer fingerprint system.

[0043] The first layer is a global semantic fingerprint. This is used to characterize the overall semantic content of the asset. Let the global semantic feature extraction function be... ,but:

[0044] The second layer is the structural fingerprint. This is used to characterize the organizational structure, temporal structure, spatial layout structure, or ticket field structure of assets. Let the structural feature extraction function be... ,but:

[0045] The third layer is the local fragment fingerprint, used to represent local keyframes, local image regions, local audio segments, local text segments, or local equity fields. This divides assets into... Let the nth local segment be denoted as the nth local segment. k The segment is Then the first k A partial fingerprint The function is defined as:

[0046] This yields a set of local fragment fingerprints. :

[0047] S1.4 Asset Benchmark Identifier Generation In order to simultaneously integrate global semantic stability, structural stability, local difference recognition capability and metadata constraints, this implementation method encodes the three-layer fingerprint and metadata digest together as the scenic area digital asset benchmark identifier ABID.

[0048] First, the features of each layer are summarized:

[0049]

[0050]

[0051]

[0052] in, For hash functions; Represents a global semantic summary; Represents a structural summary; Indicates the first k Local segment root summary; Represents a metadata summary.

[0053] Then, a Merkle tree is constructed from the local fragment summaries to obtain the root local fragment summaries. :

[0054] Furthermore, the global semantic digest, structural digest, local fragment root digest, and metadata digest are combined to obtain the benchmark identifier for the scenic area's digital assets. The function is represented as:

[0055] in, The data is assembled in a preset order. This is a hash function.

[0056] Since digital assets of scenic spots may only undergo partial content changes during the transfer process, using only a global summary would be insensitive to local changes; using only a local summary would not stably represent the overall content; and using only a metadata summary would not prove the content itself. Therefore, this solution combines a global semantic summary, a structural summary, a local fragment root summary, and a metadata summary to achieve a unified asset identifier that is stable overall, verifiable locally, and constrained by metadata.

[0057] In step S2 of this scheme, the multi-source ownership evidence includes at least evidence of content production in the scenic area, evidence of publication on the scenic area platform, evidence of tourist interaction, evidence of authorized operation, and evidence of transaction flow.

[0058] The evidence of content production in the scenic area includes at least the records of the content collection terminal, the content editing log, the first generation timestamp, the signature record of the shooting equipment, and / or the content review record.

[0059] The evidence published by the scenic area platform includes at least the records published on the scenic area's official website, the records published on the scenic area's mini-program, the records displayed on the ticketing platform, and / or the records synchronized on the cultural and tourism platform.

[0060] The evidence of tourist interaction includes at least scanning records, verification records, tour route summaries, activity check-in records, and / or interactive task completion records; In step S2, the unified evidence tuple includes at least the evidence source subject, the object of evidence application, the evidence representation behavior, the timestamp, the evidence load summary, and / or the integrity check value.

[0061] Because stable ownership cannot be established solely based on the content of digital assets within a scenic area—as ownership of digital assets essentially depends not only on the content but also on a causal chain encompassing who produced it, when it was released, how it is operated, how it is interacted with, whether it is circulated, and whether it is authorized—in the context of scenic area digital assets, official promotional videos, audio guides, digital commemorative tickets, activity vouchers, and content co-created by tourists often involve multiple stakeholders, including the scenic area itself, third-party service providers, tourists, ticketing platforms, and activity platforms. Without a unified modeling of this multi-source business evidence, a complete ownership and rights chain cannot be formed subsequently.

[0062] As one possible implementation example, step S2 of this solution further converts the scenic area evidence with heterogeneous sources, heterogeneous formats, and heterogeneous business semantics into a unified structured evidence object for subsequent graph modeling and credibility calculation.

[0063] As an example, step S2 of this solution includes: S2.1 Collection of Evidence Categories The evidence collected can include the following five categories: Evidence of content production in scenic areas includes: records from data collection terminals, signature records from shooting equipment, editing logs, content review records, and initial generation timestamps; Evidence released by the scenic area platform includes: records of releases on the scenic area's official website, records of listings on its mini-program, records of display on ticketing platforms, and records of synchronization with cultural and tourism platforms; Tourist interaction evidence includes: QR code scanning records, verification records, activity check-in records, task completion records, tour route summaries, rights and benefits redemption records, and redemption records; Evidence of authorized operation includes: scenic area authorization contract, cooperative operation agreement, activity content authorization letter, and rights distribution rules; Evidence of transaction flow includes purchase records, transfer records, secondary transfer records, settlement records, and verification receipts.

[0064] S2.2 Unified Evidence Tuple Transformation To eliminate structural differences between different sources of evidence, this implementation converts each piece of evidence into a unified evidence tuple. Its definition is as follows:

[0065] in, Indicates the first A unified set of evidence tuples, Indicate the subject of the evidence source; Indicates the object of the evidence; This indicates that the evidence represents the behavior; Indicates the timestamp of the evidence; This represents a summary of the evidence load. This represents the verification value for the integrity of the evidence.

[0066] In this scenario, the object of the evidence Unified mapping to or with The associated version identifier.

[0067] S2.3 Generation of Evidence Summary and Integrity Check Value Let the first The content of the original evidence is as follows Then its load summary for:

[0068] If the evidence is accompanied by a signature Source certificate information and timestamp information Then the integrity check value Defined as:

[0069] Because only a summary of the original evidence content is used. It can only prove what the evidence contains, but it cannot simultaneously link "who generated it," "when it was generated," or "whether it has a signature and certificate." Therefore, this step further combines the evidence summary, signature, certificate, and timestamp to form an integrity check value. This is to ensure that, in subsequent mapping, not only the content of the evidence can be used, but also the credibility of its source and time.

[0070] S2.4 Construction of Evidence Feature Vectors To provide basic features for the evidence credibility calculation in the subsequent step S4, this implementation extracts an evidence feature vector for each piece of evidence:

[0071] in: Indicates the credibility of the source; Indicates the characteristic of temporal continuity; Indicates cryptographic integrity features; Indicates the characteristic of subject consistency; This indicates the consistent characteristics of the scenic area's closed-loop business operations.

[0072] As an example, if a digital commemorative ticket is supported by records from the scenic area's ticketing system, the scenic area's gate verification system, the activity platform's task completion record, and the visitor's terminal receipt record, then its... The value is relatively high; if a tourist's co-created content only has an upload record but no platform review record or related activity record, then its The value is relatively low.

[0073] As a possible implementation, further, in this solution S3, the ownership evidence map includes at least subject nodes, asset nodes, version nodes, rights nodes, event nodes and / or evidence nodes, as well as creation relationship edges, publication relationship edges, authorization relationship edges, transfer relationship edges, derivative relationship edges, rights realization relationship edges and / or conflict relationship edges between nodes.

[0074] As an example, step S3 of this solution constructs an ownership evidence graph based on the benchmark identifier of the scenic area digital assets, the unified evidence tuple, and the relevant subject information of the scenic area digital assets. The ownership evidence graph includes at least subject nodes, asset nodes, version nodes, rights nodes, event nodes, and evidence nodes, as well as creation relationship edges, publication relationship edges, authorization relationship edges, transfer relationship edges, derivative relationship edges, rights realization relationship edges, and conflict relationship edges between nodes.

[0075] In the context of digital assets in scenic areas, ownership is not simply a matter of "a certain entity owns a certain file," but rather involves multiple layers of relationships, such as "who created the content," "who published the content and when," and "who obtained what kind of authorization." Without establishing a unified, structured relationship model, step S4 cannot perform interpretable calculations of ownership credibility and the credibility of the scope of rights. Therefore, step S3 of this solution constructs a scenic area digital asset ownership evidence map with temporal consistency, traceable relationships, and expressible conflicts, using the asset benchmark identifier obtained in step S1 and the multi-source evidence obtained in step S2.

[0076] As an example, step S3 of this solution includes: This step involves constructing the map. Defined as: ;in, Represents a set of nodes; Represents the set of edges.

[0077] S3.1 Node Set Construction Node set At least including:

[0078] in: This represents a set of main nodes, used to represent scenic area operators, content creators, tourists, platform providers, licensors, transferees, etc. This represents a set of asset nodes, used to represent the digital asset entity of the scenic area. This represents a set of version nodes, used to represent different versions of the same scenic area's digital assets; This represents a set of rights nodes, used to represent rights such as display rights, dissemination rights, issuance rights, exchange rights, usage rights, and sublicensing rights; This represents a set of event nodes used to represent actions such as creation, publication, authorization, transfer, exchange, verification, and updating. This represents the set of evidence nodes, used to represent a unified evidence tuple.

[0079] Among them, the core nodes in the asset node set are For identification.

[0080] S3.2 Edge Set Construction edge set At least including:

[0081] in: Indicates the creative relationship; Indicates the publishing relationship edge; Indicates the edge representing the authorization relationship; Indicates the transition relationship edge; Indicates the edge of the derivation relationship; Indicates the relationship between the realization of rights and interests; Indicates a conflicting relationship.

[0082] S3.3 Timing Consistency Filtering Because the ownership chain of digital assets in scenic areas has a temporal order, it is necessary to first verify the temporal consistency of the event sequence in the graph. Let the timestamps of any two related events be... and Then its timing consistency indicator is defined as:

[0083] in, Indicates an event With the event Timing consistency indicator.

[0084] If a subsequent transfer event occurs earlier than a preceding authorization event, the relationship is considered to be inconsistent in timing, and its credibility weight should be reduced or it should be marked as a conflicting relationship edge.

[0085] S3.4 Initial value generation of edge weights For nodes With nodes A certain type of relationship between them If several pieces of evidence support the boundary, then the initial value of the boundary weight is defined as follows:

[0086] in: Indicates support node With nodes Between The set of evidence indexes for class relationships The number of elements in the evidence index set. Represents the node With nodes Between Initial weights of class-related edges; Indicates the first The validity markers of each piece of evidence after being filtered for temporal consistency.

[0087] In this scheme, if multiple pieces of evidence jointly support the same relationship, the relationship is not determined by a single piece of evidence, but rather by the set of evidence supporting that relationship. Therefore, this scheme first uses evidence validity markers to calculate initial edge weights, which serve as the basis for further calculations of the reliability of graph paths.

[0088] Because the confirmation of ownership in the context of scenic area digital assets is not simply a matter of determining whether a registration record exists, but rather requires comprehensive consideration of one or more of the following chains: content production, distribution, authorization, transaction, and business realization, to determine whether the current applicant has a stable, closed, and conflict-free ownership claim to the scenic area's digital assets. Furthermore, scenic area digital assets need to be differentiated into different rights, such as display rights, dissemination rights, issuance rights, exchange rights, and usage rights, as the strength of evidence supporting each right may vary. Therefore, step S4 of this solution, based on an ownership evidence map, transforms multi-source evidence into quantifiable ownership credibility and scope credibility, and further maps this to a machine-readable ownership status.

[0089] Step S4 of this scheme calculates the credibility of the current applicant's ownership of the digital assets of the scenic area to be confirmed, as well as the credibility of the scope of rights corresponding to at least one right item, based on the ownership credibility and the scope of rights credibility. The confirmation status of the digital assets of the scenic area to be confirmed is determined based on the ownership credibility and the scope of rights credibility.

[0090] As a possible implementation method, further, in step S4 of this scheme, the ownership credibility is jointly determined by the source credibility of various types of evidence, temporal continuity, cryptographic integrity, subject consistency, scenic area business closed-loop consistency and / or conflict intensity.

[0091] The credibility of the scope of rights is used to characterize the validity and / or closure of at least one of the rights items corresponding to the digital assets of the scenic area, including the right of display, the right of dissemination, the right of issuance, the right of exchange, the right of use, and the right of sublicensing.

[0092] As one possible implementation, further, in step S4 of this solution, the confirmation status includes at least one of the following: pending review status, pre-confirmation status, formal confirmation status, and disputed freeze status. When the strength of conflicting evidence is detected to reach a preset threshold, the confirmation status of the digital asset of the scenic area to be confirmed will be switched to the disputed freeze status, and the transfer registration, rights realization registration or re-authorization registration of the digital asset of the scenic area will be suspended. Before the pre-confirmation of ownership status is transferred to the formal confirmation of ownership status, a public notice step is also included; if no valid objection is received within the preset public notice period, or if the objection received is processed and does not affect the current ownership conclusion, the pre-confirmation of ownership status is transferred to the formal confirmation of ownership status.

[0093] As an example, step S4 of this solution may include the following sub-steps: S4.1 Calculation of Credibility of Single Evidence Based on the evidence feature vector output in step S2 First calculate the first Credibility of a single piece of evidence .

[0094] Considering that a significant deficiency in any one of the following factors—source credibility, temporal continuity, cryptographic integrity, subject consistency, and consistency of the scenic area's business loop—would substantially weaken the overall credibility of the evidence, this implementation method does not employ a simple arithmetic average but rather a weighted geometric average to assess the credibility of a single piece of evidence. Defined as follows:

[0095] in, Indicates the credibility of the source; Indicates the characteristic of temporal continuity; Indicates cryptographic integrity features; Indicates the characteristic of subject consistency; This indicates the consistent characteristics of the scenic area's closed-loop business operations; These are the weighting coefficients.

[0096] The calculation logic of this formula is as follows: if any key factor is close to zero, the overall credibility should decrease significantly; the weighted geometric mean is more suitable than the weighted arithmetic mean for reflecting the "weakest link effect", and therefore it is applicable to the reliability evaluation of multi-source evidence of scenic spot digital assets.

[0097] S4.2 Calculation of the Closure of the Chain of Rights For a certain right item For example, rights such as display rights, dissemination rights, distribution rights, exchange rights, usage rights, and sublicensing require the system to identify the reachable path from the initial rights holder to the current applicant. Let the set of candidate rights paths for this right be denoted as . any of the paths The path closure is determined by the number of edges. Defined as:

[0098] in, Representing relation edges The corrected weights are determined jointly by the initial edge weights in step S3 and the evidence credibility in step S4.1. Indicated as candidate paths, Represented as a right item The set of candidate right paths. If the edge is supported... The evidence index set is Then we have:

[0099] Since the credibility of a single right path depends on the credibility of each right relationship in the link, and the entire link will be weakened if any relationship is not closed, the path credibility is expressed as a product. However, there may be multiple candidate successor paths for the same right item, so the maximum value is taken to represent the strongest closed path.

[0100] S4.3 Calculation of Conflict Intensity and Evidence Gap If conflicting relationships exist, the conflict intensity corresponding to the current applicant needs to be calculated. (Assuming rights / claims...) The set of conflicting evidence is The intensity of the conflict Defined as:

[0101] At the same time, in order to assess whether a certain chain of rights lacks supporting evidence during key time periods. Define the evidence gap Set the path The key event timestamps sorted by time are as follows The corresponding maximum allowed time interval threshold is ,but:

[0102] in, For the degree of evidence gap, L For the path The number of events on The timestamp is the sequence number of the timestamp. For time intervals; Since the rights chain of digital assets of scenic spots lacks evidence support for a long period of time during a certain critical period, it is difficult to prove that the rights chain is continuously closed even if there is evidence at both ends. Therefore, the normalized over-threshold time interval is used to characterize the evidence gap.

[0103] S4.4 Calculation of Credibility of Scope of Rights For each right Based on supporting evidence Degree of closure of the power chain Intensity of conflict and evidence gap Calculating the credibility of the scope of rights Let the set of evidence supporting this claim be... The support direction coefficient for each piece of evidence for this right is: When supported During conflict ,but:

[0104] in, For the Sigmoid mapping function: ; For the first i Evidence against the rights The weight, , , This is an adjustment coefficient for the credibility of the scope of rights.

[0105] The reasoning approach of this step using the Sigmoid mapping is as follows: the confidence level of the weight range needs to be normalized to the interval between 0 and 1 so that different weight items can be compared uniformly in the future and directly used for state threshold determination. Therefore, nonlinear compression is performed on the linear combination result.

[0106] S4.5 Calculation of the Credibility of Ownership of the Current Applicant Let u* be the "current applicant". Then, what is the overall credibility of its ownership of the scenic area's digital assets? This can be understood as a comprehensive result of the core rights. If we select the core rights corresponding to ownership with a credibility of [missing information], [missing information]. And introduce factors to enhance the closed-loop business of scenic spots. Then we have:

[0107] in: This is a factor that enhances the closed-loop business of the scenic area. ; , , These are weighting coefficients; For the number of rights, For index number, For the first j Credibility of the scope of the rights. Indicates the first Whether the evidence in question contributes to the formation of a closed loop in the scenic area's business operations, i.e., the first piece of evidence... The contribution coefficient of each piece of evidence to the closed loop of the scenic area's business is calculated, with a higher value for participation and a lower value for isolated records. For example, for digital commemorative tickets, if there is a complete chain of "generation record - listing record - purchase record - park entry verification record - commemorative rights redemption record", then B is higher.

[0108] S4.6 Determination of Ownership Status Let the ownership credibility threshold be... The credibility threshold for core rights items is The conflict freeze threshold is The ownership status (State) is determined according to the following rules: when At that time, it enters a disputed freeze state; when At that time, it entered a pending review status; when And the credibility of the core rights items At that time, it enters the pre-confirmation of rights status; When the subsequent public announcement and challenge are completed and there are no valid objections, the status will change from pre-confirmation status to formal confirmation status.

[0109] As a possible implementation method, further, in S5 of this solution, the original evidence files and graph calculation results corresponding to the multi-source ownership evidence are also encrypted and stored in the off-chain evidence library; that is, in step S5 of this solution, the scenic area digital asset benchmark identifier, ownership evidence root summary, right scope summary, confirmation status, current confirmation right subject identifier summary, ownership status sequence number and timestamp are written into the blockchain, and the original evidence files and graph calculation results are encrypted and stored in the off-chain evidence library.

[0110] Since this solution has already obtained the ownership credibility, the scope of rights credibility, and the confirmation status in step S4, storing these results only off-chain would make them vulnerable to subsequent tampering, replacement, or deletion. On the other hand, storing all original evidence in its entirety on-chain would lead to high on-chain storage costs, privacy leaks, and exposure of sensitive business information. Therefore, step S5 of this solution ensures that the confirmation status of the scenic area's digital assets is immutable and traceable while reducing on-chain storage overhead and protecting the security of the original evidence data.

[0111] As an example, step S5 of this solution may include the following sub-steps: S5.1 Generation of Root Summary of Ownership Evidence The evidence tuples obtained in step S2 are compiled into a set. Each piece of evidence tuple is given a digest encoding, defined as follows:

[0112] in, Indicates the first Summary of the evidence tuples Indicate the subject of the evidence source; Indicates the object of the evidence; This indicates that the evidence represents the behavior; Indicates the timestamp of the evidence; This represents a summary of the evidence load. This indicates the verification value for the integrity of the evidence. Indicates data concatenation; Then, construct a Merkle tree from all the evidence summaries to obtain the root summary of ownership evidence. :

[0113] S5.2 Generation of a summary of the scope of rights For each right output in step S4, the credibility level is... and corresponding rights and logos Perform digest coding It is defined as follows:

[0114] Then construct the Merkle tree to obtain the scope of rights summary. :

[0115] in, For the first Summary of the results of the claims.

[0116] S5.3 On-chain State Summary Generation Let the current applicant's identifier digest be H(u*), the ownership status sequence number be Rev, and the timestamp be... Then the on-chain state digest is defined as:

[0117] This step is based on the principle that instead of directly storing the entire original evidence text on the blockchain, it stores a state summary that uniquely anchors the current ownership status. If off-chain evidence or rights outcomes are altered, the result will be recalculated. or This will result in inconsistencies with on-chain records, thereby enabling anti-tampering verification of off-chain data.

[0118] S5.4 Off-chain Encrypted Storage Original evidence documents and ownership evidence maps The credibility results of each right item, the business closed-loop calculation results, and the state transition log are encrypted and stored in an off-chain evidence repository. Let the off-chain evidence index be... The encryption key index is Then, an off-chain index digest can be defined. for:

[0119] The next step only requires approval. This allows indexing of evidence in the off-chain evidence database. The corresponding data set.

[0120] Because the verification process for digital assets of scenic spots cannot simply check "whether there is a record on the blockchain," it also requires verification of at least one of the following: 1. Whether the content of the digital assets of the scenic area submitted at present is consistent with the assets that have been confirmed as owned or belongs to its derivative version; 2. Whether the current rights holder is valid; 3. Whether the current rights are valid; 4. Can the rights and interests within the scenic area still be redeemed? 5. Whether the asset is under disputed freeze or has been revoked.

[0121] Therefore, step S6 of this solution integrates content consistency verification, on-chain state verification, scope of rights verification, and rights redemption verification into a machine-readable and trustworthy verification result.

[0122] As one possible implementation, further, in this solution S6, the credible verification result includes the authenticity verification conclusion, the current rights status verification result, and the revocation validity verification conclusion; In step S6, the credible verification result includes one or more of the following: authenticity conclusion, current rights holder conclusion, scope of rights conclusion, version or derivative relationship conclusion, rights redeemable status conclusion, and dispute status conclusion.

[0123] As an example, step S6 of this solution includes the following sub-steps: S6.1 Asset Normalization and Fingerprint Extraction to be Verified Upon receiving a verification request from the requesting party, the digital assets of the scenic area to be verified in the verification request are... Perform the same normalized encapsulation and multi-layer fingerprint extraction as in step S1 to obtain:

[0124] in, , , These are the global semantic fingerprint, structural fingerprint, and local fragment fingerprint of the digital asset of the scenic area to be verified in the verification request; For the first k A partial fingerprint.

[0125] S6.2 Global Semantic Matching Degree Calculation Global semantic fingerprint of the asset to be verified With the global semantic fingerprint saved in step S1 Perform cosine similarity calculation:

[0126] S6.3 Calculation of Structural Matching Degree Structural fingerprint of the asset to be verified Structural fingerprints of historically confirmed assets Perform normalized distance calculation. Let the structural distance function be... The maximum normalization scale is Then the structural matching degree Defined as:

[0127] S6.4 Calculation of Local Fragment Matching Degree For each partial fragment fingerprint of the asset to be verified fingerprint collection in historical fragments Find the most similar segments and take the average to obtain the local segment matching degree. :

[0128] in, This represents the local segment similarity function.

[0129] S6.5 Layered Fingerprint Comprehensive Matching Degree Calculation Since the overall semantics, structural logic, and local fragments of scenic area digital assets have varying importance in different business scenarios, a weighted fusion method is used to obtain the overall matching degree. :

[0130] in: , , Let be the weighting coefficient, which satisfies .

[0131] The global semantic matching degree in this step is mainly used to determine whether the overall content is consistent; the structural matching degree is mainly used to determine whether the organization and temporal order are consistent; and the local fragment matching degree is mainly used to determine whether key local content is retained. This ensures that the fusion of the three can balance overall consistency and local core compatibility.

[0132] S6.6 Verification of Status Validity and Revocation Validity Read the current state (State) and ownership state number (Rev) from the on-chain record in step S5. Define the state validity indicator. :

[0133] If the ownership status number indicates that the current asset has been revoked, then a revocation validity indicator is defined. ,otherwise .

[0134] S6.7 Calculation of Equity Realizability For digital assets within scenic area assets that contain rights-based content, such as digital commemorative tickets, activity participation vouchers, membership benefit packages, and digital badges, the redeemability of these rights is defined. :

[0135] in: This indicates the credibility of the scope of rights corresponding to the exchange rights or usage rights obtained in step S4; Indicates the remaining redeemable percentage; An indicator of whether the quantity is within its validity period; Indicates the validity of a status indicator; This indicates the validity of the cancellation.

[0136] If the current digital assets of the scenic area do not have the attribute of rights redemption, then It may not be included in the final verification conclusion, but can be retained only as an extended field.

[0137] S6.8 Generate Trusted Verification Results Finally, a reliable verification result is generated by combining the overall matching degree, status verification result, revocation verification result, and credibility of the right item. Define the credibility of verification. for:

[0138] Furthermore, the trusted verification result can be expressed as:

[0139] in: Corresponding to the conclusion of authenticity; The conclusion corresponding to the current rights holder; Conclusion regarding the scope of corresponding rights; Conclusion regarding the redemption status of corresponding rights; Conclusion regarding the corresponding disputed state.

[0140] In this solution, step S6 has already yielded a reliable verification result. However, if all original evidence, all rights item results, and all off-chain relationship data are directly exposed to the verifier for each verification, it will result in high verification costs, leakage of scenic area commercial data, and increased risks to tourist privacy. Therefore, in scenic area scenarios, the verification result needs to be further compressed into a portable, verifiable, and scenario-specific token format.

[0141] Therefore, this solution further proposes step S7, which encapsulates the trusted verification result of step S6 into a scenic area trusted verification token that is verifiable, transmissible, and allows for tailoring fields according to business scenarios.

[0142] Combination Figure 2 As shown, as a preferred embodiment, this solution further includes: S7. Generate a scenic area scene trusted verification token based on the trusted verification result, and return the scenic area scene trusted verification token to the verification requester. The information contained in the scenic area scene trusted verification token includes at least the scenic area digital asset benchmark identifier, the current confirmed rights holder identifier summary, the rights scope summary, the rights confirmation status, the version serial number, and / or the signature result.

[0143] As a preferred implementation method, in step S7 of this solution, the scenic area scene trusted verification token is a selective disclosure token. For different verification scenarios such as scenic area entry verification, activity participation verification, digital collection display verification, cross-scenic area rights mutual recognition verification, and platform listing review verification, only the rights field, rights field, and status field related to the corresponding scenario are output.

[0144] In addition to the above, the method of this scheme may also include a digital asset update step for scenic spots, specifically: when the digital assets of scenic spots undergo content version updates, changes in rights and interests rules, adjustments to the scope of authorization, linkage of scenic spot activities, cross-scenic spot mutual recognition, or tourist co-creation and derivation, new event nodes and rights relationship edges are added to the ownership evidence graph, and the rights scope summary, confirmation status, and version serial number in the blockchain are updated.

[0145] As an example of step S7 in this solution, it may include the following sub-steps: S7.1 Scene Field Clipping Let the current verification scenario be coded as Scene, for example: park entry verification, activity participation verification, digital collection display verification, cross-scenic area rights mutual recognition verification, and platform listing review verification. Define a scenario field selection function. The subset of fields that should be disclosed is:

[0146] in, This represents the minimum set of necessary disclosure fields for the current scenario.

[0147] For example, in the scenario of park entry verification, only the ABID, redemption right status, validity period and current status need to be disclosed; In the platform's content review process, it is also necessary to disclose the current rights holder's identifier summary and the status of display rights and dissemination rights.

[0148] S7.2 Token Payload Construction Let the version serial number be Ver, and the expiration date be... If the random number is Nonce, then the token payload message... Defined as:

[0149] In this step, the validity of the token depends not only on the asset ontology ABID, but also on the set of fields that need to be disclosed in the current scenario. Current status (State), Version serial number (Ver), Validity period The system includes a rights status number (Rev) and a replay-protected random number (Nonce). Signing these fields using a unified hash prevents them from being split, modified, or reused.

[0150] S7.3 Threshold Signature Result Generation To avoid single-point-of-failure due to a single verification node issuing tokens, this implementation adopts a t-of-n threshold signature mechanism. Assuming a total of n verification nodes are configured, at least t of them must participate in the signing process. The partial signature generated by the k-th node is Then the aggregate signature result for:

[0151] in, This represents a partial signature combination function.

[0152] S7.4 Generation of Trusted Verification Tokens for Scenic Spots Finally, a Trusted Verification Token (TVT) for the scenic area scene is generated.

[0153] in, Used for token authenticity verification Used to support selective disclosure in different scenarios.

[0154] Combination Figure 3 As shown above, this solution also proposes a blockchain-driven digital asset ownership confirmation and trusted verification system, which includes: The data normalization module is used to receive digital assets of scenic spots to be confirmed, to standardize and encapsulate the digital assets of scenic spots to be confirmed, to extract fingerprint information and metadata digests, and to generate a benchmark identifier for scenic spot digital assets based on the fingerprint information and metadata digests. The multi-source evidence collection module is used to collect multi-source ownership evidence related to the digital assets of the scenic area to be confirmed, and to convert the multi-source ownership evidence into a unified evidence tuple. The ownership evidence map construction module is used to construct an ownership evidence map based on the benchmark identifier and unified evidence tuple of the scenic area digital assets, combined with the relevant subject information of the scenic area digital assets. The ownership credibility calculation module is used to calculate the ownership credibility of the current applicant for the digital asset of the scenic area to be confirmed and the credibility of the scope of rights corresponding to at least one right item based on the ownership evidence map, and to determine the confirmation status of the digital asset of the scenic area to be confirmed and the current confirmation right holder based on the ownership credibility and the scope of rights. The on-chain rights confirmation status management module is used to determine the root digest of ownership evidence based on the unified evidence tuple, determine the digest of the scope of rights based on the credibility of the scope of rights, and then write the root digest of ownership evidence, the digest of the scope of rights, the benchmark identifier of the scenic spot digital asset, the rights confirmation status, and the current rights confirmation subject identifier digest, ownership status sequence number and timestamp into the blockchain; The off-chain evidence library module includes an off-chain evidence library, which is used to encrypt and store the original evidence files and graph calculation results corresponding to the multi-source ownership evidence; The verification service module is used to preprocess and extract fingerprints of the scenic area digital assets to be verified in the verification request when it receives a verification request from the verification requester. The extracted fingerprints are matched with the fingerprint information extracted when the benchmark identifier of the scenic area digital assets is generated to obtain the matching result. Combined with the verification results of the confirmation status and ownership status sequence number, a reliable verification result is generated.

[0155] Combination Figure 4 As shown, as a preferred implementation method, the system of this solution preferably further includes; The trusted verification token generation module is used to generate and output trusted verification tokens for scenic area scenarios.

[0156] Furthermore, the functional units in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0157] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) or processor to execute all or part of the steps of the methods of various embodiments of this invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0158] The above description is only a part of the embodiments of the present invention and does not limit the scope of protection of the present invention. Any equivalent device or equivalent process transformation made based on the content of the present invention specification and drawings, or direct or indirect application in other related technical fields, are similarly included within the patent protection scope of the present invention.

Claims

1. A blockchain-driven method for confirming and verifying the ownership of digital assets, applied to digital assets in scenic areas, characterized in that... It includes: S1. Receive the digital assets of the scenic area to be confirmed, standardize and encapsulate the digital assets of the scenic area to be confirmed, extract fingerprint information and metadata summary, and generate a benchmark identifier for the scenic area digital assets based on the fingerprint information and metadata summary. S2. Collect multi-source ownership evidence related to the digital assets of the scenic area to be confirmed, and convert the multi-source ownership evidence into a unified evidence tuple; S3. Based on the aforementioned scenic area digital asset benchmark identifier and unified evidence tuple, and combined with the relevant subject information of the scenic area digital asset, construct an ownership evidence map; S4. Based on the ownership evidence map, calculate the ownership credibility of the current applicant for the digital assets of the scenic area to be confirmed and the credibility of the scope of rights corresponding to at least one right item, and determine the confirmation status of the digital assets of the scenic area to be confirmed and the current confirmation right holder based on the ownership credibility and the scope of rights credibility. S5. Determine the root summary of ownership evidence based on the unified evidence tuple, determine the summary of the scope of rights based on the credibility of the scope of rights, and then write the root summary of ownership evidence, the summary of the scope of rights, the benchmark identifier of the scenic area digital asset, the confirmation status, and the current confirmation of rights subject identifier summary, ownership status sequence number and timestamp into the blockchain. S6. Upon receiving a verification request from the verification requester, preprocess and extract fingerprints from the digital assets of the scenic area to be verified in the verification request. Match the extracted fingerprints with the fingerprint information extracted when generating the baseline identifier of the scenic area digital assets to obtain a matching result. Combine the verification results of the confirmation status and ownership status sequence number to generate a trusted verification result.

2. The blockchain-driven digital asset ownership confirmation and trusted verification method as described in claim 1, characterized in that, The scenic area's digital assets include: official scenic area images, promotional videos, audio guides, electronic guide maps, AR guide content, digital commemorative tickets, digital badges, scenic area-themed digital collectibles, activity participation vouchers, membership vouchers, cultural and creative digital derivative content, and / or content co-created by tourists. In step S1, the fingerprint information includes global semantic fingerprint, structural fingerprint, and / or local fragment fingerprint.

3. The blockchain-driven digital asset ownership confirmation and trusted verification method as described in claim 1, characterized in that, In step S2, the multi-source ownership evidence includes at least evidence of content production in the scenic area, evidence of publication on the scenic area platform, evidence of tourist interaction, evidence of authorized operation, and / or evidence of transaction flow. The evidence of content production in the scenic area includes at least the records of the content collection terminal, the content editing log, the first generation timestamp, the signature record of the shooting equipment, and / or the content review record; The evidence published by the scenic area platform includes at least the release records on the scenic area's official website, the release records on the scenic area's mini-program, the display records on the ticketing platform, and / or the synchronization records on the cultural and tourism platform. The evidence of tourist interaction includes at least scanning records, verification records, tour route summaries, activity check-in records, and / or interactive task completion records; In step S2, the unified evidence tuple includes at least the evidence source subject, the object of evidence application, the evidence representation behavior, the timestamp, the evidence load summary, and / or the integrity check value.

4. The blockchain-driven digital asset ownership confirmation and trusted verification method as described in claim 1, characterized in that, In S3, the ownership evidence map includes at least subject nodes, asset nodes, version nodes, rights nodes, event nodes and / or evidence nodes, as well as creation relationship edges, publication relationship edges, authorization relationship edges, transfer relationship edges, derivative relationship edges, rights realization relationship edges and / or conflict relationship edges between nodes.

5. The blockchain-driven method for confirming and verifying the ownership of digital assets as described in claim 1, characterized in that, In step S4, the ownership credibility is determined by the source credibility, temporal continuity, cryptographic integrity, subject consistency, scenic area business closed-loop consistency and / or conflict intensity of various types of evidence. The credibility of the scope of rights is used to characterize the validity and / or closure of at least one of the rights items corresponding to the digital assets of the scenic area, including the right of display, the right of dissemination, the right of issuance, the right of exchange, the right of use, and the right of sublicensing.

6. The blockchain-driven method for confirming and verifying the ownership of digital assets as described in claim 1, characterized in that, In step S4, the confirmation status includes at least one of the following: pending review status, pre-confirmation status, formal confirmation status, and disputed freeze status. When the strength of conflicting evidence is detected to reach a preset threshold, the confirmation status of the digital asset of the scenic area to be confirmed will be switched to the disputed freeze status, and the transfer registration, rights realization registration or re-authorization registration of the digital asset of the scenic area will be suspended. Before the pre-confirmation of ownership status is transferred to the formal confirmation of ownership status, a public notice step is also included; if no valid objection is received within the preset public notice period, or if the objection received is processed and does not affect the current ownership conclusion, the pre-confirmation of ownership status is transferred to the formal confirmation of ownership status.

7. The blockchain-driven digital asset ownership confirmation and trusted verification method as described in claim 1, characterized in that, In S5, the original evidence files and graph calculation results corresponding to the multi-source ownership evidence are also encrypted and stored in the off-chain evidence library.

8. The blockchain-driven method for confirming and verifying the ownership of digital assets as described in claim 1, characterized in that, In S6, the credible verification results include the authenticity verification conclusion, the current rights status verification result, and the revocation validity verification conclusion; In step S6, the credible verification result includes one or more of the following: authenticity conclusion, current rights holder conclusion, scope of rights conclusion, version or derivative relationship conclusion, rights redeemable status conclusion, and dispute status conclusion.

9. The blockchain-driven method for confirming and verifying the ownership of digital assets as described in any one of claims 1 to 8, characterized in that, It also includes: S7. Generate a scenic area scene trusted verification token based on the trusted verification result, and return the scenic area scene trusted verification token to the verification requester. The information contained in the scenic area scene trusted verification token includes at least the scenic area digital asset benchmark identifier, the current confirmed rights holder identifier summary, the rights scope summary, the rights confirmation status, the version serial number, and / or the signature result.

10. A blockchain-driven digital asset ownership confirmation and trusted verification system, characterized in that, It includes: The data normalization module is used to receive digital assets of scenic spots to be confirmed, to standardize and encapsulate the digital assets of scenic spots to be confirmed, to extract fingerprint information and metadata digests, and to generate a benchmark identifier for scenic spot digital assets based on the fingerprint information and metadata digests. The multi-source evidence collection module is used to collect multi-source ownership evidence related to the digital assets of the scenic area to be confirmed, and to convert the multi-source ownership evidence into a unified evidence tuple. The ownership evidence map construction module is used to construct an ownership evidence map based on the benchmark identifier and unified evidence tuple of the scenic area digital assets, combined with the relevant subject information of the scenic area digital assets. The ownership credibility calculation module is used to calculate the ownership credibility of the current applicant for the digital asset of the scenic area to be confirmed and the credibility of the scope of rights corresponding to at least one right item based on the ownership evidence map, and to determine the confirmation status of the digital asset of the scenic area to be confirmed and the current confirmation right holder based on the ownership credibility and the scope of rights. The on-chain rights confirmation status management module is used to determine the root digest of ownership evidence based on the unified evidence tuple, determine the digest of the scope of rights based on the credibility of the scope of rights, and then write the root digest of ownership evidence, the digest of the scope of rights, the benchmark identifier of the scenic spot digital asset, the rights confirmation status, and the current rights confirmation subject identifier digest, ownership status sequence number and timestamp into the blockchain; The off-chain evidence library module includes an off-chain evidence library, which is used to encrypt and store the original evidence files and graph calculation results corresponding to the multi-source ownership evidence; The verification service module is used to preprocess and extract fingerprints of the scenic area digital assets to be verified in the verification request when it receives a verification request from the verification requester. The extracted fingerprints are matched with the fingerprint information extracted when the benchmark identifier of the scenic area digital assets is generated to obtain the matching result. Combined with the verification results of the confirmation status and ownership status sequence number, a reliable verification result is generated.

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