254 results about "Hash chain" patented technology

The invention relates to the technical field of financial data security, and discloses an intelligent ERP financial system data security management and authentication method. The method comprises the following steps: acquiring an original transaction data stream in an ERP system, extracting key financial fields, and dividing the key financial fields into a sensitive data set and a common data set according to a preset rule; a dynamic encryption strategy framework is constructed based on sensitive data set attributes, the framework comprises multiple levels of encryption strength parameters, and the corresponding encryption strength can be automatically matched according to the authentication level of an access request. And monitoring a system data access behavior in real time, collecting feature data, inputting the feature data into the anomaly detection model, and triggering access blocking when an output anomaly access probability exceeds a threshold value. And generating a periodic integrity verification instruction according to the sensitive data updating frequency, performing integrity verification by using a hash chain technology, recording a result and marking a tampering risk level. And based on the association relationship between the tampering risk level and the abnormal access probability, generating an updated security policy and synchronizing the updated security policy to each data access node.

The invention provides a match alliance platform management system and method, and the system comprises a match authentication module constructed by a block chain, an AI-driven qualification auditing module, a process management module, a convolutional neural network, a big data analysis module, and an RBAC authority management module. Wherein the match authentication module dynamically analyzes and stores authenticated match rule data through an intelligent contract, and realizes rule version tracing by using an encrypted hash chain; the AI-driven qualification auditing module integrates a natural language processing engine to analyze the selection standard and construct a multi-dimensional evaluation model, and adopts a machine learning algorithm to analyze historical data of athletes to generate a visual qualification report; the process management module supported by cloud computing automatically generates an application process based on a rule engine, adopts a Monte Carlo algorithm to execute multi-constraint drawing, and constructs a directed graph model to dynamically generate a schedule topological structure containing a three-person rotation time sequence.

The invention discloses a self-adaptive multi-level digital watermarking method based on coding process optimization. The method comprises the following steps: firstly, performing deep preprocessing on an input video stream through a pre-trained multi-modal deep learning model, extracting space complexity, time dynamics and content significance features, and generating a uniform feature vector; and constructing a dynamic decision model based on the feature vectors, adaptively determining the watermark intensity, the embedding position and the type, and realizing accurate matching of watermark parameters and video content characteristics. A multi-level watermark hierarchical embedding mechanism is adopted, a robust invisible watermark, a fragile invisible watermark and a dynamic visible watermark are embedded into a video, and the security is enhanced by combining chaotic encryption or Hash chain encryption. During copyright verification, watermark information of each layer is recovered through an adaptive extraction algorithm, and data verification and infringement traceability are completed in combination with a block chain evidence storage system. According to the method, a full-process copyright protection system of embedding, coding, extraction and verification is constructed.

The invention relates to a dynamic double-layer hidden watermark and encryption binding file protection method and system based on deep learning, and belongs to the technical field of digital content security. The problems of attack resistance, traceability obstruction and key-watermark unhooking in document cross-platform circulation are solved. According to the scheme, the method comprises the following steps of: extracting semantic fingerprints by using a sentence vector model Sentence-BERT; the fuzzy extractor generates a master key and derives a time key chain; the authentication encryption algorithm AEAD encrypts and binds the source and the timestamp load; container layer structure rearrangement and document layer zero-width character double embedding are carried out; the generative adversarial network or diffusion model adversarial training improves the optical character recognition and transcoding resistance; version binding and tracing are achieved through the watermark hash chain. The technical effects cover anti-counterfeiting migration, cross-layer fault-tolerant guarantee recoverability, rearrangement attack resistance, full-period accurate traceability and post-quantum security enhancement.

A computer-implemented system for routing artificial intelligence (AI) queries. The system utilizes a zero-copy data pipeline, which processes prompts in memory-mapped buffers to eliminate at least one memory copy operation, thereby reducing latency relative to conventional serialization pipelines. The system continuously verifies AI provider compliance by injecting synthetic prompts containing invisible, Ed25519-signed Unicode watermarks. Algorithmic bias is detected by generating counterfactual “digital twin” prompts and applying Fisher exact statistical testing.Routing decisions for multi-tier autonomous systems are governed by safety-level requirements (ASIL-D, ASIL-B, QM) and may be constrained by external routing directives received via a meta-identifier. A hash-chained manifest, cryptographically signed using Ed25519 and consumed by downstream gateways, is generated for each routing decision, with its Merkle root asynchronously anchored to a blockchain to create a tamper-evident audit trail for regulatory compliance.

The invention belongs to the technical field of cross-border logistics information credibility management, and discloses a cross-border logistics information credibility management method based on block chain and dynamic hash chain evidence storage, and the method comprises the steps: deploying a multi-modal data adapter, integrating a lightweight MobileViT model and a category exclusive feature template, extracting a key frame through a video, and generating a feature package; after sensor data is subjected to Kalman filtering processing, a timestamp and a numerical sequence are output; a historical feature library is compared through an LSH algorithm, repeated features are filtered, evidence storage redundancy is avoided, unstructured data features are associated with structured data such as customs clearance numbers, accurate data correspondence during traceability is ensured, and a verification result is real and reliable; for a temporary checking scene, a temporary node generates a temporary permission containing a 24-hour validity period, and a corresponding Hash unit can only be verified and cannot be accessed after expiration, so that an illegal data access risk is completely eradicated, subsequent verification is prevented from being influenced by excessive permission recovery, and data security and credible verification requirements are balanced.

The invention discloses an automatic settlement path generation method fusing a knowledge graph and a tax rule, and relates to the technical field of financial science and technology and intelligent finance and tax compliance, and the method comprises the steps: S1, obtaining initial decision basis data and execution process details from a settlement path through a block chain network, employing a Hash chain structure to link each link record, s2, according to the obtained path chain, a graph database is adopted to store dynamic association attributes, and the dependency relationship of each node in the path is determined through knowledge graph reasoning, and S3, if an information fault is detected in the path chain, the matching degree of an execution result and a decision basis is compared through a timestamp verification mechanism, and if the information fault is detected in the path chain, the decision basis is determined. Judging a deviation position and marking a deviation point; according to the automatic settlement path generation method fusing the knowledge graph and the tax rules, the security and reliability of financial transactions and the tax management efficiency are effectively improved.

The invention discloses an archive information security storage and tamper-proof method and system based on a block chain, and belongs to the field of information security, the method comprises the following steps: obtaining archive information to be processed and generating standard archive data; a time sequence accumulation state hash model is adopted to process the standard archive data to generate digital fingerprints, and the time sequence accumulation state hash model constructs an academic state hash chain which takes initial academic state hash as a starting point and is recursively deduced along with time for each student; the generation of each new academic state hash is forced to depend on a previous academic state hash, a current period archive data abstract, a timestamp and a context challenge factor derived from a previous state; the digital fingerprints, the unique identity identifiers of the students and the operation metadata are packaged into archive information transactions, and the archive information transactions are signed by an authorization mechanism and then broadcasted to a block chain network; and a personal electronics file is formed. According to the invention, powerful and provable time sequence integrity is provided for auditing and tracing of archives.

The invention relates to the technical field of equipment management, and discloses a data security evidence storage method and system for smart city construction. The method comprises the following steps: acquiring operation state data of target equipment and performing encryption preprocessing to construct a security data set, further identifying data exception and determining a potential emergency list with relevance; equipment is intelligently grouped according to event priorities, a resource allocation scheme is generated and dynamically adjusted, and when the scheme does not meet the evidence storage requirement, standby resources are automatically obtained, and configuration is expanded; calculating and verifying a data storage path with the shortest delay by using a path selection model fusing bandwidth and priority constraints on the basis of an expansion scheme; and finally, carrying out full-link log recording on the evidence storage process along the path, implementing integrity verification based on a cryptographic hash chain, and carrying out closed-loop evaluation on a resource adjustment effect based on a verification result to generate a confirmation result. According to the invention, the timeliness and reliability of equipment data evidence storage in a complex environment of a smart city are improved.

The invention discloses a BIM and block chain-based construction whole process quality tracing method and system, and relates to the technical field of building construction quality management. In a material entering stage, material information is collected through the Internet of Things and is associated with a BIM component identifier, and an initial block is generated by using an intelligent contract; in the process execution stage, BIM 4D / 5D simulation data is associated with a construction log, and a Hash chain algorithm is adopted to generate a process block containing IPFS Hash; in the acceptance inspection stage, the consistency of detection results is verified through zero-knowledge proof, and a new block is generated; checking the block data through a consensus mechanism to obtain a complete data set; constructing a graph database index based on the BIM component tree, and generating a chain path graph; responding to a query request, traversing path diagram nodes, comparing hash values and outputting a tracing result; trusted communication, tamper-proof evidence storage and intelligent tracing of data in the whole construction process are achieved, and the accuracy and reliability of project quality management are remarkably improved.

The invention belongs to the field of engineering management, and particularly relates to an electric power project full life cycle management method and system based on digital twinning, so as to solve the technical problems that digital twinning and a construction plan are disjointed, and a risk assessment and permanent data capitalization mechanism driven by real-time data is lacked. Obtaining a construction plan of the task unit and a digital twinborn model; s2, establishing an association relationship between a task unit and a component; s3, calculating a vector deviation between a field entity state and a digital twin model target state; calculating a risk coefficient of the component; forming a dynamic construction plan; and S4, performing structured packaging and Hash linking on the vector deviation, the risk coefficient, the quality acceptance result and the resource consumption data, and generating construction process data bound with the component. The defect of disjunction of plans and models in traditional management is overcome, possible space and resource conflicts in the future can be pre-judged and avoided, and the integrity and authenticity of process data are ensured.

A method for auditable off-chain transaction in block-chain network includes: defining counterparties, auditors and their responsibilities; creating an off-chain payment channel between the counterparties and initializing the off-chain payment channel by both of the counterparties; updating channel status during each transaction process; and initiating an audit process to verify an integrity of a history of the off-chain transaction after the off-chain payment channel is closed; wherein a hash chain linking current and previous transactions of the off-chain payment channel in a chronological order is established during the transaction processes, and an Accountable Assertions with Flexible Public Key (AAFPK) mechanism is used to bind fund and commitment information generated by counterparties to a flexible public key through assertions, the hash chain is submitted to auditors for verifying when off-chain payment channel is closed, and AAFPK mechanism binds inconsistencies or differences of the off-chain transaction to a responsible party.

The invention discloses a network security monitoring method and system based on the Internet of Things, and relates to the technical field of Internet of Things security. Through dynamic challenge-response physical unclonable authentication, physical parameters and a real-time state are fused to generate a dynamic challenge value, and a physical unclonable function circuit is combined to generate a response value to realize identity verification; adaptive noise lattice-based homomorphic encryption is adopted, a ciphertext is generated based on a high-dimensional lattice-based password, and noise parameters are adjusted through channel quality to guarantee transmission security; multi-modal confrontation federated learning anomaly detection is utilized, flow, energy consumption and physical state characteristics are fused, and parameters are aggregated through a confrontation auto-encoder training model and based on federated learning; through dynamic threshold key negotiation, in combination with identity-based encryption and a block chain smart contract, distributed generation and dynamic adjustment of a key are realized; on the basis of a Merkle-salt value dynamic hash chain and block chain evidence storage, a log is generated in a trusted execution environment, a hash chain is constructed, and chain tail hash is synchronized to block chain evidence storage.

The invention discloses a wireless authentication and privacy infrastructure (WAPI) intelligent air switch, an end-network-cloud security measurement and control method and system thereof and a medium, and relates to the field of power internet of things security. A closed-loop system consisting of terminal equipment, a WAPI wireless access network, an authentication server and a cloud management platform is constructed; the authentication server verifies a negotiation session key and establishes an encrypted communication link, the terminal collects electric power parameters, encrypts and uploads the electric power parameters to the cloud, the cloud analyzes the electric power parameters and then issues a control signal, the terminal verifies and analyzes the electric power parameters through a trusted execution environment and drives an execution mechanism to operate, meanwhile, a power consumption mode is dynamically switched, and the cloud stores logs in a hash chain mode. According to the invention, through the technologies of hardware encryption, isolation execution and the like, the communication security and the equipment reliability are improved, and the requirements of high security, low power consumption and traceability of an electric power scene are met.

The invention relates to the technical field of medicine cold chain logistics information, in particular to a medical intravenous distribution code scanning logistics tracking method which comprises the following steps: attaching a self-energized label on the outer side of a preparation, reading magnetic tunnel junction physical fingerprints and nanocrystalline point-deoxyribonucleic acid information to generate a reference hash value, and collecting humiture recursion environment hash chains at fixed intervals; generating a challenge by using a satellite high-entropy random number during handover, obtaining a second fingerprint, constructing a zero-knowledge event proof in combination with a reference hash value and an environment chain, and writing a plurality of proof into a distributed account book after dynamic planning aggregation; and synchronously capturing wireless channel state information to construct a dynamic graph, and outputting a next node instruction and a risk score by a graph neural network and near-end strategy optimization. According to the method, battery-free anti-cloning and anti-tampering cold chain monitoring and network disconnection path decision are realized, the chain cost is low, and the robustness is high.

According to the firmware security updating method suitable for the Internet of Things equipment, the integrity and the high efficiency of the updating process are ensured while a user is supported to select a function module combination for customized updating according to needs. According to the method, a chameleon hash chain is adopted at an update management server side to construct a cross-module credible verification mechanism, hash abstracts are generated for functional modules one by one and are linked to form an integrity chain, and verification failure can be caused by any unauthorized tampering or missing, so that the overall credibility of a customized firmware update package is guaranteed. In order to reduce the burden of the resource-constrained device, a workload verification mechanism is introduced, the server completes calculation of the functional module block and generation of verification parameters in advance, and the device end can confirm the validity of the update package only by quickly verifying the hash chain and the verification parameters. Meanwhile, in combination with a cache multiplexing strategy, the generated function module combination update package is stored and multiplexed, and when a result is found preferentially and the result is not matched, the function module combination update package is dynamically generated and added into the cache.

The invention discloses a digital twinborn rehearsal method and system for tower crane collision risks, and relates to the technical field of collision risk analysis, and the method comprises the steps: firstly, generating a unified time mark snapshot through cloud-side double clocks and weight synchronization; secondly, caching snapshots in a layered manner according to survivability and re-collecting failure frames; fusing the time synchronization deviation and the spatial position deviation into a synchronization reliability coefficient through fuzzy reasoning; then driving a physical scheduling model to predict a trajectory based on the reliable coefficient, generating a safety envelope, monitoring a difference value and performing adaptive shrinkage, and adjusting a multi-tower operation window in combination with a time slot insertion algorithm; and finally, tampering prevention is carried out on the archiving key quantity through a fixed-length data packet and a Hash chain, the sampling step length is updated online by utilizing a sliding forgetting model and reinforcement learning, and the weight and the envelope flexibility are weighed. The method realizes second-level prediction, real-time scheduling and self-evolution, can reduce the multi-tower collision risk of the high-rise building, and gives consideration to the construction efficiency.

Systems and methods improve security of vehicle-transfer processing using model-driven fraud flagging with cryptographic provenance. A transfer request message including a vehicle identifier is received. Historical event records for the vehicle identifier are retrieved from an append-only, hash-linked event log. A feature vector is generated from the historical event records and one or more external authoritative data sources. A trained fraud detection model is executed to produce a fraud score and, in some embodiments, a confidence value. When a fraud-flagging criterion is satisfied, a fraud-flag artifact is generated including a model identifier and version, a feature schema identifier, and a hash of at least a portion of the feature vector, and the artifact is digitally signed. Based on the signed artifact, the system selectively blocks, delays, or routes the transfer request to remediation, preventing commitment of a corresponding transfer record to the event log until a remediation condition is satisfied.

The invention provides a deterministic arbitration queue communication method, system and device based on a DSF protocol state machine and downlink implicit authorization, and belongs to the technical field of next-generation wireless communication. The method comprises the following steps that: two communication parties operate a protocol security state machine based on a dynamic security root (DSF), and synchronize and generate uplink and downlink resource intentions of cryptographic pairing on a logic time axis; a network side executes two steps of deterministic arbitration (inter-user conflict arbitration and resource availability check) by using global predictability, and only sends valid data on downlink resources paired with arbitration winner users to complete implicit authorization. And the user side autonomously decides uplink transmission through monitoring judgment, and unauthorized data enters a next period queue. The framework adapts to different scenarios through configurable rules (broadcast clock, hash chain, logical epoch drive) and supports prospective resource reservation to achieve hard deterministic transmission. According to the method, full-process zero dynamic signaling and deterministic service quality are realized, and throughput, time delay, connection scale and energy efficiency exceed those of a traditional normal form.

The invention discloses a unified key management method and device for a distributed password service component, and aims to solve the problems of single-point failure, consistency deficiency and insufficient life cycle management and control of existing key management. According to the method, based on a distributed key generation protocol, Shamir secret sharing, PBFT consensus and Lagrange interpolation, key generation, distributed storage, safe distribution and dynamic rotation whole-process management and control are achieved. The device is composed of n nodes including a processor, a memory and a communication and key processing module, and supports encrypted storage, secure communication and consensus collaboration. Security is guaranteed through a threshold mechanism, hash verification and a hash chain technology, availability is improved through SDN optimization and failover, and nodes and parameters can be flexibly adapted and expanded. The method is applied to scenes such as a power grid, gives consideration to safety, availability and compliance, and is suitable for unified key management of distributed system password services.

The invention provides an intelligent salary domain management method and system, electronic equipment and a storage medium, and relates to the technical field of human resource information management, and the method comprises the steps: obtaining a structured salary group rule corresponding to an employee salary grouping request; according to the structured salary group rule, generating a plurality of candidate salary group division schemes, and screening out a target salary group division scheme with the lowest conflict rate through an SAT solver; generating a salary group snapshot and binding an employee affiliation relationship; performing risk scoring on the high-risk operation, and controlling the operation authority based on a scoring result; writing an operation event of the high-risk operation into a Hash chain type auditing structure, and periodically generating a zk-SNARK proof; and analyzing salary-related indexes in real time based on a streaming computing engine. In this way, intelligent division of salary groups, intelligent screening of salary group division schemes based on the conflict rate, dynamic risk control for high-risk operation, non-tampering operation auditing and real-time analysis of salary related indexes are achieved.

The invention provides an enhanced lightweight authentication method and system for Internet of Vehicles, and the method comprises the steps: carrying out the distinguishing design of a message signature and verification mechanism according to the demands of differentiated authentication in a V2I (vehicle-to-road communication) scene and a V2V (vehicle-to-vehicle communication) scene, guaranteeing that the communication between a vehicle terminal and a road side unit is high in reliability, and carrying out the verification of the communication between the vehicle terminal and the road side unit; meanwhile, the flexibility and the safety of dynamic networking between the vehicles are ensured; in the certificate generation and updating process, a key evolution mechanism based on a hash chain and an XOR operation is adopted, so that the forward security and privacy protection capability are improved; efficient signature and verification are realized through an elliptic curve digital signature algorithm, and the calculation and communication overhead is reduced; the protocol supports rapid update and revocation of the certificate, and the anti-attack capability and flexibility of the system are enhanced. According to the method, the vehicle identity can be effectively prevented from being tracked, the communication security and user privacy in an Internet of Vehicles environment are guaranteed, and the security and practicability of an Internet of Vehicles system are remarkably improved.

The invention discloses a local data updating method and system in a local database, relates to the technical field of data management and security, and realizes user identity authentication by acquiring electrocardiogram and environment data through an edge computing node to generate a dynamic permission token. And then, the system verifies and authorizes a database updating request, and performs data fusion analysis by adopting federated learning and a deep neural network to ensure the security and accuracy of data updating. In the data updating process, the system uses chaotic encryption and a trusted execution environment to guarantee the confidentiality and integrity of data. And after updating, broadcasting an operation record through a block chain network, and performing auditing and rollback control by using zero-knowledge proof and a smart contract. And finally, ensuring the integrity and non-tampering property of data recovery by adopting a hash chain technology. Through multi-technology fusion, the security, reliability and efficiency of the data updating process are improved.

The invention belongs to the technical field of purchase management and data processing of power transmission and transformation equipment manufacturing, and particularly relates to a power transmission and transformation equipment manufacturing-oriented purchase order full-process management and control method, equipment and a medium, and the method responds to a login request, and distributes permissions according to matching of a supplier unique identifier and an order manufacturer name. And creating an order containing specific parameters of power transmission and transformation, and transmitting the order to the cloud after verification. The edge end collects acceptance data, carries out edge processing, and transmits key data to the cloud end. The cloud integrates data and calculates indexes, qualified data block chains are stored according to project partitions, and hash chain type association cannot be tampered. And according to material category standard verification, three-level abnormity marking and graded feedback are carried out. And providing query, statistical evaluation and check report generation. According to the invention, edge processing is combined with cloud computing, so that the data processing efficiency and real-time performance are improved. A dynamic quality checking and grading early warning mechanism effectively recognizes and quickly responds to abnormity, and the quality risk is reduced. And the supply chain collaboration level and the overall management efficiency are improved.

The invention discloses a distributed cloud storage system for credible storage of bulk transaction data, which comprises a three-layer hybrid architecture and a core function module for cooperative work, and has the functions of credible storage, privacy protection and cross-mechanism verification of the full life cycle of the bulk transaction data. According to the system, through innovative hybrid architecture design and core technology research and development, the core goal of storing hash on a chain and storing original under the chain is achieved, it is guaranteed that data cannot be tampered in the whole life cycle, meanwhile, it is guaranteed that data sovereignty belongs to enterprises, the cross-mechanism verification efficiency is improved, the operation cost is reduced, and solid technical support is provided for bulk commodity transaction digitization.

The invention belongs to the technical field of block chain document editing, and discloses an interconnection and interworking document editing system and method. The method comprises the steps of collecting document editing data to complete initialization and block chain registration, capturing user editing behaviors, packaging the user editing behaviors into atomization operation with a semantic context, and constructing a local operation chain containing Hash chain type association; based on the operation chain, packaging user batch operation uplink, and after smart contract verification, storing operation data and a verification result to form an on-chain record; carrying out intention conflict detection to obtain a detection result and generating a suggestion list based on a preset rule base; generating a traceable solution operation according to suggestions selected by the user, updating a local operation chain, replaying the operation to generate a final document, synchronizing the final document to a server and recording the final document on an association chain; according to the method, the conflict detection accuracy is remarkably improved, operation full-link traceability, cross-end document collaboration consistency and data security and credibility are also realized, and collaboration scene requirements with high requirements on document logic integrity and operation traceability are effectively met.

The invention relates to the technical field of information, and discloses a full-process digital detection management system based on rule engine driving. The sample full life cycle management module is used for collecting attribute data, detection data and circulation state data of samples and generating a structured data set; the report and template management module is used for configuring a detection report template through a visual interface; the core engine module verifies the version legality of the rule-data incidence matrix through a process topology hash chain; and the user and authority management module is used for performing role-based authority control on user operation. Through a directed acyclic graph structure of a process topology hash chain, original data nodes, rule version nodes and operation behavior nodes are linked through cryptographic hash to form a non-tampering full-process evidence storage record, an evidence storage binding unit generates aggregation evidence storage hash containing execution permission, and the aggregation evidence storage hash is used for storing the whole-process evidence storage record. And the links from data acquisition to report output can be verified and traced.

The application discloses a digital twin pre-rehearsal method and system for tower crane collision risk, and relates to the technical field of collision risk analysis. Firstly, a unified time tag snapshot is generated by using cloud edge double clocks and weight synchronization. Secondly, the snapshot is cached according to the survival degree and the invalid frame is resampled. Thirdly, the time synchronization deviation and the spatial position deviation are fused into a synchronous reliable coefficient through fuzzy reasoning. Then, the reliable coefficient is used to drive the physical scheduling model to predict the trajectory, generate the safety envelope, monitor the difference and adaptively shrink, adjust the multi-tower operation window by combining the time slot insertion algorithm, and finally, the fixed-length data packet and the hash chain are used to prevent tampering and archive key quantities, and the sliding forgetting model and reinforcement learning are used to update the sampling step length, trade-off weight and envelope flexibility online. The method realizes second-level prediction, instant scheduling and self-evolution, and can reduce the multi-tower collision risk of high-rise buildings and take into account the construction efficiency.

The invention relates to the technical field of data processing, and particularly provides a whole-process data processing method, system and device for a business travel order, and a storage medium, and the method comprises the steps: generating a unique main Hash identifier of the business travel order, and uploading the unique main Hash identifier to a block chain network; for a plurality of business links in the life cycle of the business travel order, sequentially constructing sub-hash identifiers associated with the main hash identifier on a block chain network to form a main-sub-hash chain; wherein when each sub-hash identifier is constructed, the input data at least comprises the main hash identifier, the link data of the current service link and the sub-hash identifier generated by the adjacent previous service link, so that the sub-hash identifiers are nested and bound in sequence; and dynamically generating and synchronizing consumption details associated with the order based on the link data recorded in the main-sub hash chain. According to the invention, automation, refinement and compliance of the whole business travel management process under data driving are realized.

The invention discloses an industrial Internet of Things cooperative management method and system of a double-track block chain consensus engine, computer equipment and a medium, and the method comprises the steps: carrying out the data distribution based on multi-type data, and carrying out the dynamic fragmentation of high-priority real-time data based on a core layer; sorting the blocks in each fragment, executing a dual-stage submission protocol, and outputting an encrypted block; tracking behavior data of the nodes in real time based on a daemon layer, performing anomaly detection, and synchronizing an anomaly evidence set to all the nodes based on a Byzantine broadcast mechanism when an abnormal event is detected; and performing hash chain verification on the encrypted block, transmitting the encrypted block passing the verification into a trusted execution environment, and issuing an industrial control instruction to a production line execution terminal after verifying a hardware signature. According to the invention, low-delay consensus, rapid fault recovery, cross-platform compatibility and dynamic fault-tolerant balance can be realized through a double-track collaborative architecture of the core layer and the guard layer in combination with the collaborative verification capability of the trusted execution environment.