352 results about "Merkle tree" patented technology

A system for adaptively caching network communication protocols enhances efficiency across heterogeneous device environments through a multi-level cache architecture with device-capability-based tiers. The system collects endpoint telemetry data including device capabilities and operational constraints to classify endpoints and generate context-aware protocol variants optimized for specific device types. Protocol optimization opportunities are determined through structural analysis of message patterns and state transitions. The system performs protocol deduplication by identifying functionally equivalent variants and maintaining canonical representations to reduce cache redundancy. Cache synchronization across distributed nodes uses enhanced Merkle tree structures with protocol normalization processing. The system predicts communication needs based on historical patterns, network context, and endpoint constraints, enabling proactive cache management tailored to device capabilities. Integration with event-driven data communication systems enables seamless protocol selection and translation while maintaining compatibility between diverse endpoint types, from high-performance servers to resource-constrained IoT devices.

The invention relates to the technical field of carbon footprint dynamics, in particular to a railway traffic carbon footprint dynamic tracking system and method based on a block chain and edge calculation. The data acquisition unit is used for acquiring train operation state, environment parameters and traction energy consumption data; the edge calculation unit fuses the multi-source data acquired by the data acquisition unit through adaptive Kalman filtering to obtain standardized data, converts a train operation state into carbon emission based on an instantaneous power model, and introduces a dynamic emission factor to calculate and obtain accumulated carbon emission; and the block chain network unit is used for compressing the accumulated carbon emission data and then generating a Merkle tree root hash upper chain, and storing the carbon emission data to a block chain. Incremental uplink and rapid verification of the data are realized, the on-chain data processing efficiency and the query traceability are improved, and the problems of high storage pressure and low verification efficiency of a traditional on-chain evidence storage mode in a high-frequency track data writing scene are solved.

The invention discloses a data ownership verification and authorization control method based on zero knowledge proof. The method comprises the following steps: constructing a traceable Merk tree structure on a block chain or a distributed account book; a data owner calculates data fingerprints and packages the data fingerprints into declaration nodes to be inserted into the traceable Merk tree; storing the ownership zero knowledge proof and the traceable Merk tree root hash into a block chain together; the verification party executes the zero-knowledge verifier contract on the chain to complete ownership verification without reading original data or identity plaintext; access control is realized after on-chain verification of the service party; triggering local heavy hash to update the traceable Merk tree root hash, and broadcasting a revocation event on a chain; and confirming legality of evolution and authorization change of all nodes. According to the method, the historical traceability and structural consistency of the data ownership and authorization relationship are ensured, and efficient traceability and anomaly detection of the node evolution chain are also realized.

The invention relates to a food traceability method based on a block chain, and the method comprises the steps: collecting production data, generating a unique data major key and an identifier, encrypting and uploading the data, and binding the data with a food batch; associating production link data, collecting processing data, performing secondary hash to generate a processing link data link, and binding a food unit after the processing link data link is linked; identifying a processing link identifier, collecting transportation data, carrying out chain association and timestamp progressive encryption and then carrying out uplink, generating a transportation link identifier and recording handover information; after full-link data are verified, sales data are collected, a full-link Merkel tree is formed through closed-loop association, a sales link identifier is generated after uplink encryption, and multi-node confirmation is triggered; a permission verification request is initiated through a query terminal, and after block chain type verification and local hash verification are carried out, a complete traceability link containing handover nodes, persons in charge and equipment information is displayed according to a time axis. According to the invention, full-life-cycle traceability of food is realized.

The invention relates to the field of edge computing data security, in particular to an integrity auditing method and system in an edge computing environment. The problem that an existing cloud auditing model is high in delay and large in bandwidth consumption in an edge scene is mainly solved. A lightweight audit challenge is generated through random sampling, data block aggregation operation is executed at an edge node, Merkel Hash tree path evidence is extracted, and integrity proof of dual verification is formed; and the aggregated evidence and the path evidence are verified by using bilinear mapping, so that efficient and credible auditing is realized. Dynamic data updating and accurate positioning of damaged blocks are supported, communication overhead is remarkably reduced, and real-time credibility of edge data is guaranteed.

The invention relates to the field of block chain technology and application security, and discloses a block chain-based APP data trusted storage and sharing method, which comprises the following steps of: maintaining a verifiable state container comprising state data and an access policy dual-Merkel tree under a chain, and recording a root hash of the verifiable state container in the block chain; for different updates, generating corresponding evidences: generating single-step evidences containing Merkel evidences for single-step updates; and generating the composite proof containing the zero-knowledge proof for the complex process. And the intelligent contract can update the root hash in an atomized manner only through verification and certification. During data sharing, data and dual Merkel proof are provided for a consumer to verify data authenticity and access legality. According to the method, complex calculation is arranged under a chain, low cost and constant overhead of on-chain verification are achieved, and meanwhile high-safety data credible storage and refined authority control capacity are provided through a dual-tree dual-certificate mechanism.

The invention discloses a digital archive supervision system based on a block chain, and relates to the field of digital archive supervision. The system comprises an archive collection module, a block chain pre-processing module, a dynamic consensus module, an intelligent contract module and a supervision module. The archive collection module preprocesses heterogeneous data through a CRNN algorithm to generate a standard data set; the pre-processing module adopts the combination of SM4 and homomorphic encryption to protect data; the dynamic consensus module dynamically adjusts the right based on the node credit score, the main chain uses a PBFT method enhanced by a threshold signature to ensure the safety of core operation, and the side chain uses DPoS-RAFT to process high-frequency business; the intelligent contract module constructs a Merkle tree through block hash, and performs automatic hash verification and triggers exception handling during access; the supervision module realizes layered examination and approval of the unfreezing application by using a decision tree algorithm; according to the system, through cooperation of multiple modules, full-process block chaining of archives from collection, encryption, consensus to supervision is achieved, and the system is suitable for credible storage and supervision scenes of digital archives.

The invention relates to the technical field of data intelligent traceability, and discloses a whole-process business data intelligent traceability method and system. The method comprises the following steps: collecting first data of a preset business link and creating a semantic tag to form a semantic tag data set; the semantic tag data set is stored in a Merkle tree structure, and a service block chain is constructed; extracting second data of each business link from the business block chain, and generating a fusion data set based on the second data; and establishing a relation graph according to the fused data set, after receiving a traceability query request, starting to search a traceability path from a starting service point in the relation graph, and outputting a traceability result, thereby ensuring the reliability of the traceability result, and solving the problems of serious data island, missing association relationship and low traceability precision of the traditional traceability technology.

The invention belongs to the cross technical field of block chain technology and supply chain finance, and provides a supply chain dynamic risk control method and system based on a smart contract, and the technical scheme is as follows: obtaining node data of each participant in a supply chain; dynamically evaluating the risk of the supply chain in combination with the obtained node data of each participant and the constructed smart contract; wherein in the basic contract, the logistics data and the invoice data are verified respectively, and a verification result is sent to the business contract after verification is passed; in a business contract, according to received enterprise data, introducing a timestamp mechanism, recording creditor's right generation time in a block chain, and realizing multi-level creditor's right splitting and merging through a Merkle tree; in the risk control contract, calculating a risk assessment index based on the on-chain data, the off-chain data and the risk assessment model; and adjusting the credit granting strategy in real time according to the change of the risk assessment index to obtain an adjusted credit granting strategy. Risk control is embedded into contract execution logic, so that the risk loss of the supply chain is reduced.

The invention relates to the technical field of charging piles, and discloses a V2G system adapted to a low-power DC charging pile, and the system comprises a data collection and privacy protection module which is used for obtaining the data of a vehicle end, a charging pile end and a power grid end, and carrying out the desensitization and encryption of sensitive information, and the output end of the data collection and privacy protection module is connected to the input end of a user behavior modeling module; and the user behavior modeling module is used for predicting vehicle owner off-network time and charging demands based on federated learning and dynamically correcting constraint conditions, and the prediction output end of the user behavior modeling module is connected to the input end of the strategy optimization decision module through a time sequence constraint interface. Through combination of dynamic fragmentation and a heterogeneous consensus mechanism, hash signature and a Merkle tree, power acceleration limitation and a Kalman filtering thermal protection strategy, a battery charging and discharging control process is optimized, it is ensured that a control instruction is efficiently, flexibly and safely executed under electricity price fluctuation and power demand change, and meanwhile, a closed-loop feedback mechanism enhances the adaptive capacity of the system.

The invention discloses a traceability application-oriented block chain database data management system, particularly relates to the technical field of block chain database data management, and is used for solving the problems of easy data tampering and low verification efficiency caused by traceability data logic association and physical storage splitting. The method comprises the following steps: firstly, matching a parent physical sector offset through an association analysis module, determining a storage partition, and assembling a write-in instruction; then, a topology binding module executes a disk write operation, synchronously reads parent node hash and performs combinatorial operation in combination with a physical address to generate a topology binding check value bound with the physical position; the aggregation anchoring module uses a Merkel tree aggregation check value to generate a root fingerprint and perform uplink, and establishes an anchoring voucher; and finally, a path verification module positions a physical position according to the certificate, executes reverse recursive addressing and step-by-step Hash recalculation, and assembles a pedigree verification packet, so that a closed-loop trust system from physical storage to chain certificate storage is constructed, and the tamper-proof capability and verification efficiency of the traceability data are improved.

The invention provides a multi-database automatic synchronization method under an AI platform, and belongs to the technical field of database automatic synchronization. The captured change records are converted into synchronous messages in a unified format, the synchronous messages are input into an intelligent scheduling optimization model for dependency analysis and transaction reordering based on dynamic programming, data conversion rules are dynamically generated according to mode version differences, and data consistency is verified through a Merkle tree hierarchical structure; the multi-stage self-adaptive compression transmission and data writing are completed after the target node executes conflict detection and circular dependency processing, and finally the final consistency among the multiple databases is guaranteed through a periodic full-amount account checking task, so that the technical problem of synchronization performance bottleneck caused by low transaction scheduling efficiency in the automatic synchronization process of the multiple databases is solved.

The invention provides a ship-based unified storage and management design data method, which comprises the following steps that: an operation end generates and sends an editing request with a node identifier, an editing type, a timestamp and a digital signature, and a WEB front end receives and verifies the legality of the request through an encryption channel; the storage service generates an intention lock based on the permission table and version number matching, and concurrent access control is achieved. Then, the WEB front end carries out content definition partitioning (CDC) and Hash fingerprint calculation on a design file stream, the storage service realizes partitioning duplicate removal and incremental storage according to a fingerprint matching result, and a Merkle tree is utilized to construct a file version integrity Hash root; on this basis, the system analyzes model differences, constructs a semantic difference chart, and calls a rule engine to perform automatic pre-check. According to the method, efficient storage, collaborative editing, security and credibility and hierarchical scheduling management of ship design data are realized, and the method has the technical advantages of high data consistency, high resource utilization rate, traceability auditing and the like.

The invention discloses a system and a method for tracing a whole process of power grid engineering regulation, construction and operation based on a block chain, and relates to the field of process tracing, and the method comprises the steps: carrying out the life cycle management through six core stages, generating a unique digital identity identifier, and anchoring the block chain. And the Internet of Things equipment collects data, generates data fingerprints through encryption and hash, and writes the data fingerprints into the block chain. And verifying the data integrity and compliance by using the threshold condition of the intelligent contract preset stage conversion, and automatically triggering the operation of the next stage. A data block aggregation hash tree is generated through a Merkel tree, and a double cross index structure is created in combination with a timestamp. During query, the data block is positioned based on the digital identity identifier and the double index structure, and a traceability path map is generated. The method has the advantages that the transparent management of the whole life cycle of the power grid project is realized through the block chain technology, the data security is ensured, and the tracing efficiency of the project is improved through the combination of the smart contract and the Internet of Things equipment.

The invention discloses an on-chain and off-chain collaborative interaction system based on a block chain, and the system comprises a data structure module which is used for designing a composite data structure containing metadata, data content, a hash value and a timestamp, and employs a Merkle tree to manage data; the distributed storage and transmission module is used for storing data under the chain by adopting a distributed file system, storing key data on the chain by using a block chain, and designing a secure transmission protocol; by means of the Merkle tree and Hash verification, data integrity can be quickly and accurately verified, tampering can be perceived, a distributed storage and transmission technology and a two-way synchronization strategy can be designed, on-chain and off-chain efficient collaboration is achieved, data processing efficiency and reliability are improved, data security privacy is guaranteed by means of block chain characteristics and encryption, digital signature and other technologies, and the method is suitable for large-scale popularization and application. Distributed storage and a P2P network facilitate node and capability expansion to adapt to data growth, an intelligent contract is introduced, online and offline data collaborative automatic management is achieved, risks are reduced, and efficiency is improved.

The invention relates to the technical field of digital asset management, in particular to a block chain-based carbon asset full-life-cycle traceability and digital asset management platform. According to the platform, multiple data modeling and intelligent contract mechanisms are fused, and credible management of carbon assets in the whole process from generation, accounting, registration, transaction to auditing is achieved. The method comprises the following steps: collecting operation data of a forestry carbon sink project, constructing a structured Hash fingerprint, generating index root Hash by adopting a Merkle tree, and calculating a carbon sink amount as a basic data source of carbon assets; accounting the carbon sink credibility based on a Bayesian network model and eliminating abnormal data; carrying out anti-fact intervention analysis by utilizing a causal map, and screening abnormal assets with low causal consistency; on-chain matchmaking transaction of the carbon assets and the users is completed through a clustering and greedy matching mechanism; a life cycle auditing module is combined to evaluate responsibility contribution of key behavior variables to ESG indexes, and quantifiable, traceable and verifiable green asset full life cycle management is achieved.

The invention discloses a multi-dimensional credit asset traceability system and method. The system comprises a data acquisition and encryption module (10) which is used for performing encryption and digital signature on credit asset data based on a trusted execution environment (TEE) and a hardware security module (HSM) at a data generation end; the parallel Hash processing module (20) is used for performing parallel Hash operation on the encrypted data and generating leaf node Hash values based on GPU acceleration and a multi-thread technology; the nested hash and zero-knowledge proof module (30) constructs leaf node hash values into a compression type Merkle tree and generates a zero-knowledge proof (ZKP), so that a third party can verify the authenticity and consistency of data without accessing full data; the on-chain evidence storage module (40) is used for recording root Hash (RootHash) and zero knowledge proof of the compression type Merkle tree to the block chain; the dynamic authorization and secure multi-party computing module (50) performs access clipping on the credit asset data based on the access intention and realizes verification of the minimum data dimension through secure multi-party computing (SMPC). Through combination of technical means such as trusted hardware acquisition, parallel hash calculation and privacy protection verification, rapid verification is realized on the premise of not exposing original data, and verification performance, data security and privacy protection capability are remarkably improved.

The invention discloses a financial information sharing system and method based on a block chain, and relates to the technical field of block chains, and the method comprises the steps: integrating block chain intercommunication financial information in an enterprise, collecting the financial data of the enterprise, carrying out the preprocessing, structuring and data encryption, obtaining the priority score YX of each business record, and obtaining the priority score YX of each business record; the method comprises the steps of obtaining first priority financial data and second priority financial data in combination with a preset priority score threshold YZ, storing the first priority financial data and the second priority financial data in a block chain and an under-chain auxiliary node respectively, constructing a hash tree model according to the financial data of the block chain, generating a multi-dimensional index for financial data query, and compiling an intelligent contract for abnormal financial transaction recognition. According to the method, data collaborative analysis is carried out on abnormal financial transactions, and abnormal data is repaired according to a data collaborative analysis result, so that the consistency and integrity of on-chain and off-chain data are realized, and the efficiency, transparency and security of financial data sharing are improved.

An OTA security update method and system for intelligent connected vehicles are provided. The method includes: the downloaded software update packet from a CDN to UC-master is decrypted, and verified for the first time through signature verification; for the secondary verification, decomposing a current software update packet into a plurality of sub-packets; calculating HASH values of the sub-packets in sequence; thereafter, constructing a Merkle tree according to these HASH values; calculating a root HASH value of the Merkle tree; after the sub-packets are transferred from a UC-master to ECU-UAs through a gateway or a domain controller, recalculating the HASH values of the sub-packets; reconstructing the Merkle tree according to these HASH values; recalculating the root HASH value of the Merkle tree; comparing the two HASH values; if they are equal, starting a normal update procedure; otherwise, terminating this OTA update by the UC-master immediately.

The invention discloses a lightweight block chain node consensus mechanism optimization method, and relates to the technical field of block chains. According to the method, the computing power of the lightweight nodes is accurately evaluated through a hierarchical verification aggregation algorithm, efficient participation of the lightweight nodes in a resource-constrained environment is realized, a transaction set is divided into a plurality of subsets by adopting a transaction verification fragmentation strategy, and verification results are aggregated by utilizing a Merkel tree aggregation verification technology; in addition, a dynamic storage management strategy is established, the depth of locally stored historical data is dynamically adjusted according to the node storage capacity, and network storage and retrieval are performed through a distributed hash table; the bottleneck problem of storage and network transmission is effectively solved, and the network bandwidth utilization efficiency and the storage management flexibility are improved.

The invention provides a cross-domain authentication and data sharing method and system capable of verifying homomorphic encryption, and relates to the technical field of blockchains, comprising the following steps: a data owner generates a public and private key pair by using a homomorphic encryption scheme based on a lattice password; the data owner performs homomorphic encryption on the original data by using the public key to generate a homomorphic ciphertext; the data owner performs integrity protection on the homomorphic ciphertext by using a Merkle tree structure to generate a ciphertext abstract; the cross-domain authentication center receives a data access request sent by the data user, and the cross-domain authentication center verifies the identity of the data user by using a multi-factor authentication method; the data user submits an authorization token and a data access request to the distributed storage system; the distributed storage system verifies the authorization token and returns corresponding homomorphic ciphertext data; the verification network verifies the calculation process, generates a verification report and sends the verification report to the data owner; and the data user collects partial decryption results and reconstructs a complete decryption result.

The invention discloses a carbon emission abnormity traceability method and device, a medium and equipment, and belongs to the field of carbon emission, and the method comprises the steps: receiving a traceability request containing a to-be-verified data identifier, positioning target link data from a block chain storage, and executing signature verification and Hash consistency verification, thereby guaranteeing the authenticity and consistency of the data. And if the verification of the target link data is passed, verifying the inclusion relation of Merkle tree root hash of each link upwards layer by layer to confirm the integrity of the full-chain data. And if verification failure of any level is found, the feature data of the level is combined with an anomaly detection model based on an isolated forest algorithm, and an abnormal data node is positioned. And then, according to the signature information of the abnormal data node and the preset tracking secret key, a group signature verification and private key derivation process is applied, the responsibility participant is traced, and the tracing process of the carbon emission abnormity is completed, so that the problem that the carbon emission abnormal point cannot be accurately and efficiently traced in the prior art is effectively solved.

The invention discloses a digital fingerprint generation method for terminal equipment, and relates to the technical field of digital fingerprint generation, comprising the following steps: S1, collecting multi-dimensional hierarchical features; s2, privacy enhancement; s3, fingerprint anti-regeneration generation is carried out; and S4, fingerprint life cycle management. According to the terminal equipment digital fingerprint generation method, multi-dimensional fine-grained feature acquisition is realized from a non-sensitive layer, a semi-sensitive layer and a high-sensitive layer, a feature weight is optimized through a federated learning framework, fingerprint drift caused by hardware replacement and software updating is effectively resisted, and the user experience is improved. Dynamic Gaussian noise is injected into numerical semi-sensitive features to balance privacy protection and feature effectiveness, 2048-bit key Paillier homomorphic encryption is adopted for high-sensitive features, meanwhile, cross-scene tracking risks are blocked through scenarized sub-fingerprint generation and an original feature immediate destruction mechanism, and the privacy protection and feature effectiveness are improved. And an anti-duplication architecture fusing a Merkle tree and a bloom filter is introduced to greatly reduce the fingerprint coincidence collision rate.

A blockchain-based data processing method, performed by a consensus node on a second blockchain, includes: obtaining a cross-chain message submitted by a forwarding service device, and obtaining a blockchain identification carried in the cross-chain message associated with cross-chain transaction data stored in a first blockchain; obtaining, in a second blockchain corresponding to the blockchain identification, block Merkle information corresponding to the first blockchain, and obtaining, in a block Merkle tree represented by the block Merkle information, a Merkle proof set corresponding to the cross-chain message, the Merkle proof set including node information of one or more nodes in the block Merkle tree,; verifying validity of the cross-chain message according to the Merkle proof set and the block Merkle information; and obtaining a transaction execution result corresponding to the cross-chain message in response to verification succeeds, and storing the transaction execution result into the second blockchain.

The invention relates to the technical field of data processing, in particular to an automatic driving vehicle data processing system based on identity recognition, comprising: a data acquisition module outputting an original data stream carrying a digital signature; the preprocessing module filters illegal data streams according to the digital signature, and outputs time-aligned laser radar data and visual data; the feature fusion module outputs a six-degree-of-freedom pose estimation result; the safety processing module generates safety feature descriptors according to the cosine similarity, the timestamp difference constraint range and the encryption seeds; the verification storage module stores the Merkel tree, the encrypted point cloud and the encrypted image to a candidate node group; and the calibration module calculates a correlation coefficient between the timestamp of the visual data and the timestamp of the laser radar data, and reconfigures a hardware trigger time sequence of the data acquisition module. According to the method, the problem of cross-modal data fusion credibility caused by sensor clock skew is solved, and the identity recognition accuracy is improved.

System and methods for physical authentication using blockchain technologies. A user list is encoded via hashes of respective wallet addresses to construct a Merkle Tree. The Merkle Root of the constructed Merkle Tree is recorded on the blockchain. The Merkle Tree and the Merkle Root are updated each time a user is added to the organization. A user is authenticated by submitting a message to the client, which creates a Merkle Proof and sends it to the blockchain for authentication. The process can be facilitated by a mobile application that generates a Quick Response (QR) code representing the user's wallet address.

The invention provides an MERKLE tree authentication method and device based on frequency and time dual feature perception, and relates to the technical field of network security. The method comprises the following steps of: upwards generating a hash node for each data node through an SM3 algorithm; arranging all the Hash nodes according to an increasing sequence of the failure timestamps; traversing the ordered queue from left to right, finding a plurality of adjacent nodes, combining to generate a father node, replacing the adjacent nodes, and constructing a Merkle tree structure; and performing recursive binary search from the root node from top to bottom according to the timestamp to position the target node and record the Merkle path, performing reverse verification on the hash value of the Merkle path from bottom to top, performing hash aggregation on brother nodes of the Merkle path layer by layer, and verifying whether the hash values of the root node are consistent or not. According to the method, the data verification efficiency of the Merkle tree is optimized by combining dual information of the timestamp and the frequency value, and the method is suitable for scenes with timeliness and access frequency characteristics.

The invention discloses a digital authentication method and system based on industrial production data, and the method comprises the steps: obtaining original industrial production data, generating a unique fingerprint of equipment, binding the unique fingerprint with the original data, and generating an equipment-data binding hash value through employing a national cipher SM3 algorithm; the alliance block chain node dynamically selects a consensus protocol according to the timeliness of the original industrial production data, constructs a Merkle tree structure and stores a root hash value; verifying whether the device-data binding hash value is included by the Merkle tree corresponding to the specific root hash value through a zero-knowledge proof protocol; in the authentication stage, the verified hash value and index information are called, and encryption quality parameters stored under the chain are positioned and decrypted; and generating a three-dimensional credible identifier and a dynamic authentication description text based on the original quality parameter, the hash value, the product identifier information and the block chain transaction information, and performing signature verification through a quantum security electronic signature. According to the invention, the security and reliability of industrial data authentication are improved, and data tampering and counterfeiting are effectively prevented.

The invention discloses a traceability monitoring system suitable for logistics supply chain monitoring, and particularly relates to the technical field of logistics supply chains, which comprises a data acquisition system, a data processing system, a traceability analysis system, a visual monitoring system, an early warning feedback system, a dynamic optimization system and a data synchronization system. According to the invention, through collaborative innovation of the Internet of Things sensor and the block chain technology, the problems of fragmentation and low credibility of traditional logistics data are solved; based on real-time data collection of RFID, a temperature and humidity sensor and a GPS, in combination with a PBFT consensus algorithm and a Merkle tree structure, efficient synchronization and tamper-proof storage of cross-mechanism data are achieved, the data integrity verification efficiency is improved by 50%, meanwhile, an Apache Flink stream processing engine is linked with an isolated forest algorithm, millisecond-level anomaly detection (such as temperature and humidity overrun and track loss) and cubic spline interpolation restoration are supported, and the data integrity verification efficiency is improved by 50%. The data cleaning accuracy is improved to 98%, and a high-confidence data basis is provided for subsequent analysis.

The invention relates to the technical field of archive storage, and discloses an archive storage system and method based on a digital object architecture, and the system comprises a unique identification and relation analysis assembly which is used for generating a globally unique object identifier; the digital object warehouse is used for constructing digital objects; the digital object registry is used for establishing a metadata index which can be retrieved; the distributed account book module is used for forming an on-chain record; and a policy-driven engine for monitoring and receiving the broadcasted structured transactions and determining the affected context scope to execute the embedded lifecycle policy. According to the technical scheme, the electronic original text is constructed into the digital object containing the Merkel tree integrity verification data, and all key operations are recorded in the distributed account book module, so that full-chain trust guarantee of archive data from content to process is realized; therefore, the integrity of the data in the long-term storage process can be effectively verified.