839 results about "Chain network" patented technology

A system may include an Al convergence system of systems for a value chain network environment.

The invention discloses a digital asset secure transaction system and method based on a block chain, and belongs to the cross field of block chain technology and financial science and technology. The system adopts a layered architecture design and comprises an intelligent contract execution layer, a distributed account book storage layer and a cross-chain interaction layer. The transaction method comprises the following steps: generating a digital identity certificate based on asymmetric encryption, and realizing privacy protection through zero-knowledge proof; a secure transaction channel is constructed by adopting a multi-signature mechanism, and sensitive data processing is performed in combination with a trusted execution environment; and designing a dynamic fragmentation strategy to optimize the transaction throughput, and establishing an on-chain and off-chain collaborative verification mechanism. The innovation point is that a double-layer verification model combining a verifiable delay function and a threshold signature is provided, and millisecond-level confirmation is realized while the transaction irreversibility is ensured. The system supports multi-chain asset atomic exchange, and interoperability of different block chain networks is realized through a heterogeneous cross-chain gateway. The scheme has the characteristics of high transaction confirmation speed, high privacy protection level and high system expansibility.

The invention relates to the technical field of transaction processing systems, and particularly discloses a trusted monitoring auditing system fusing TEE and a block chain, which comprises the following steps: generating a transaction instantaneous state abstract containing a key information field at a key node of a business process through a trusted execution environment, signing, anchoring a hash value of the transaction instantaneous state abstract to a block chain network, and storing the signature abstract under the chain; and during auditing, by comparing integrity verification of on-chain hash and under-chain abstract and TEE signature verification, dual authentication of transaction authenticity and environment reliability is realized. Through the collaborative architecture of the TEE and the block chain, the transaction core data state and the credible environment proof are deeply fused, so that the audit verification can be independently completed without depending on a centralized database, the problem that post-event tracing depends on the credibility of the log in the traditional audit is fundamentally avoided, and the audit verification efficiency is improved. And a lightweight credible verification basis is provided for a cross-mechanism cooperation scene.

A value chain network control tower system comprises a processor and memory configured to execute a know your model system that manages the complete lifecycle of Al models in enterprise environments. The know your model system performs model intake and registration actions including model documentation collection, registration procedures, metadata collection, input / output interface standardization, legal and licensing validation checks, and security validation. The system conducts comprehensive model evaluation and risk assessment actions by analyzing foundational properties, task performance, safety and risk management, alignment and compliance characteristics, operational metrics, and tooling transparency capabilities. The know your model system executes model deployment actions through automated environment validation, predeployment approval processes, and controlled production deployment with continuous monitoring.

The invention relates to the technical field of dispatching and emergency response, in particular to a supply chain multi-node real-time collaborative dispatching and emergency response system and method, and the system comprises a distributed data collection module which is used for obtaining the inventory data, logistics state and equipment operation parameters of each node in real time; the digital twin modeling engine is used for constructing a dynamic virtual mapping model of the supply chain network; the collaborative decision center generates a multi-objective optimization scheduling scheme based on a reinforcement learning algorithm; the emergency response trigger is used for automatically starting a graded emergency plan through abnormal mode recognition; according to the method, second-level response is realized through millisecond-level data synchronization and edge calculation, so that decision timeliness is improved, cross-node cooperation efficiency is improved by adopting multi-agent game and federated learning, and the punctuality rate of orders and the toughness index of the network are improved through multi-target Pareto optimization on the premise of controllable cost.

The invention provides a block chain-based clinical test data integrity system, and relates to the technical field of data processing, and the system comprises the following components: a multi-source heterogeneous data acquisition and preprocessing module, a multi-level encryption and under-chain data storage module, an alliance block chain network, and an alliance block chain network maintenance and verification shared distributed account book. The distributed account book only stores all digitally signed clinical test data fingerprints, metadata and operation logs, does not store original data, and is linked with the intelligent contract automatic management module, so that the clinical test data cannot be tampered in the whole life cycle from the source to archiving. Hash anchoring, digital signature and decentralized verification mechanisms of the block chain technically eradicate the possibility of unauthorized tampering of data, and ensure scientificity and reliability of clinical test results.

An information technology system for a distributed manufacturing network includes an additive manufacturing management platform configured to manage process and production workflows for a set of distributed manufacturing network entities through design, modeling, printing, and supply chain stages. The information technology system includes an artificial intelligence system configured to learn on a training set of outcomes, parameters, and data collected from the set of distributed manufacturing network entities of the distributed manufacturing network to optimize digital production processes and workflows. The information technology system includes a distributed ledger system integrated with a digital thread configured to provide unified views of workflow and transaction information to entities in the distributed manufacturing network.

The invention provides an engineering supply chain risk conduction analysis system based on a graph neural network and a method thereof. The method comprises the following steps: acquiring supply chain operation data from multi-level supply chain nodes; constructing a graph structure model between supply chain nodes according to the operation data, and identifying and quantifying an association relationship between the nodes; simulating the risk event occurrence of the supply chain node on the graph structure model; based on a graph structure model, calculating the probability and influence value of risk propagation from an occurrence node to other nodes, and identifying a main risk propagation path; using a Motif anomaly detection module to detect an abnormal sub-graph mode appearing in a risk propagation process in the graph structure model; performing representation learning and association prediction on the graph structure model by using a self-supervised graph neural network, and mining potential hidden risk association; by constructing a multi-level supply chain association map and introducing risk disturbance simulation, the system can quantify the conduction rule of the risk in a supply chain network from a global perspective, and can automatically identify hidden high-risk links and key propagation paths.

The invention discloses a method for enabling building supply chain information tracing and management based on a block chain, and relates to the technical field of block chains, and the method comprises the following steps: S1, constructing an information chaining platform for building supply chain management, enabling each participant node of a supply chain to access a block chain network, storing the full life cycle data of the supply chain through employing a distributed account book technology, and storing the whole life cycle data of the supply chain; the full life cycle data comprises data of decision making, design, construction, acceptance and operation and maintenance stages. According to the method for tracing and managing the full-life-cycle information on the building supply chain, the data is stored by adopting a distributed account book technology, the integrity and non-tampering property of the data are ensured, the accuracy and efficiency of data tracing are improved, the consistency and reliability of the data are further ensured through a Hash algorithm and a consensus mechanism, and the data tracing efficiency is improved. A credible data basis is provided for each participant of the supply chain, and the supply chain flow rule is automatically executed by deploying the intelligent contract.

A dynamic vision system includes a variable focus liquid lens optical assembly. The dynamic vision system includes a variable lighting assembly. The dynamic vision system includes a control system configured to adjust one or more optical parameters and data collected from the variable focus liquid lens optical assembly in real time. The dynamic vision system includes a control system configured to adjust the variable lighting assembly. The dynamic vision system includes a processing system that dynamically learns on a training set of outcomes, parameters, and data collected from the variable focus liquid lens optical assembly to train a set of machine learning models to control the variable focus liquid lens optical assembly to optimize collection of data for processing by the set of machine learning models.

The invention is suitable for the technical field of data asset management, and provides a data asset management system based on a block chain and big data analysis, and the system comprises a first terminal which carries out the storage of the ownership information of data assets through a block chain network, and generates a storage data package; generating an evaluation result based on a preset technical index analysis model; writing the hash value of the evaluation result into transaction data of the main chain of the block chain, and generating an evidence storage voucher matched with the block chain transaction; an interaction data sequence is packaged for identity signature, encryption and compression to generate a target code stream, and the target code stream is sent to the second terminal; the second terminal decrypts the encrypted data in the target code stream by using a private key, decompresses the data by using a compression algorithm matched with the first terminal, and restores the data into an interactive data sequence; verifying the access authority and the transaction condition of the evidence storage data packet; checking the anchoring state of the evidence storage voucher on the main chain of the block chain; and the data transaction is completed, the data asset state report is generated, and the data element marketization configuration efficiency is improved.

The invention belongs to the technical field of data management, and discloses a research and development data traceability and collaborative management system based on a block chain, and the system comprises a sensing layer which is used for collecting multi-source research and development data on various research and development tool chains through a multi-protocol collection agent, carrying out the structural packaging of the data to generate metadata, and embedding a data blood relationship tracking mark in the metadata; false data filtering is carried out on the metadata by deploying a trusted execution environment; the chain network layer is used for dividing the filtered metadata into data fragments and respectively storing the data fragments in a distributed storage platform; applying a Hash algorithm to each data fragment to generate a corresponding Hash value; taking the hash values corresponding to all the data fragments as leaf nodes, constructing a fragment hash tree, and further obtaining global root hash; the security of research and development data is ensured, and the cooperation efficiency is improved.

The invention discloses a cross-border e-commerce block chain payment credit chain system and a method thereof, and realizes data sharing, information real-time synchronization and credit information dynamic transmission of each participant in a transaction by constructing an alliance block chain network. The system comprises a credit management module, a risk control module, an intelligent contract payment module, a digital currency exchange module and a security collaboration module, and multi-dimensional credit assessment, dynamic risk prediction and automatic payment are realized by using cross-domain technologies such as federated learning, trusted execution environment and homomorphic encryption. Through fund freezing, real-time digital currency exchange, payment triggered by performance conditions and other mechanisms, the cross-border payment clearing period is remarkably shortened, the transaction cost is reduced, the payment safety and supervision transparency can be improved, and the problems that traditional cross-border payment is low in efficiency, high in cost, difficult in risk control and the like are effectively solved.

The invention relates to the field of machine learning, in particular to a model weight confirmation method and device based on a block chain and a model fingerprint, and the method comprises the steps: carrying out the abstract compression of a model weight of each layer of network of a model, and obtaining a model weight abstract; performing Hash encryption and recording on the model weight abstract generated each time by adopting a Merkle tree structure to obtain a model fingerprint record; and uploading the model fingerprint record to the block chain network so as to verify the model fingerprint record. According to the invention, encryption processing is carried out on the model weight through the Hash encryption algorithm with the secret key, the model fingerprint is constructed in combination with the Merkle tree to generate a unique model fingerprint, the model fingerprint is uploaded to the block chain, the model fingerprint is combined with the block chain technology, a safe storage environment is provided for the model fingerprint, and the storage efficiency of the model fingerprint is improved. And the credibility of model ownership authentication and content tracing is enhanced.

The invention discloses a package full life cycle tracing system based on a block chain and the Internet of Things. The system comprises a package identification module which generates a unique digital identity and binds a block chain account; according to the multi-source information acquisition module, an embedded sensor network monitors the packaging state in real time; the data uplink processing module is used for spatio-temporal data enhancement and block chain transaction construction; the alliance chain network module is used for distributed account book management and consensus verification; the life cycle tracing module is used for full-cycle data visualization; and the closed-loop recovery verification module is used for carrying out recovery processing digital authentication. The system has the advantages that through deep fusion of the block chain and the Internet of Things, a full-life-cycle credible tracing closed-loop system is constructed, the problem that data of a traditional tracing system is easily tampered is solved, logistics optimization suggestions and quality early warning are generated in real time, and the packaging recovery rate is improved.

The invention relates to a supply chain risk assessment decision method and system. The method comprises the following steps: carrying out single-factor evaluation modality and multi-factor weighted evaluation modality on a risk original data set of each link of a supply chain, and creating a multi-dimensional risk quantification model; according to the multi-dimensional risk quantification model, performing multi-stage time scale evaluation on the risk original data set to obtain a multi-stage risk evaluation result; based on the multi-stage risk assessment result, modeling a supply chain network into a directed graph, and constructing an integer programming model for solving to obtain a risk-oriented path allocation scheme; and according to the risk-oriented path distribution scheme, risk index calculation and early warning grade division are carried out on the multi-stage warehousing system to obtain a collaborative early warning strategy of the multi-stage warehousing system. According to the invention, reasonable distribution of supply chain resources is realized, the congestion risk of logistics nodes is effectively relieved, and the operation efficiency of the whole supply chain is improved.

The invention discloses a data integrity verification method based on a block chain, and particularly relates to the field of data verifier.The method comprises the steps that firstly, a mixed framework of a relational database and a non-relational database is constructed, various kinds of data and statistical information are stored, and then image and text data are subjected to multi-dimensional segmentation; a specific algorithm is adopted to calculate a data unit hash value, a data block hash value and a top level hash value are obtained through hash aggregation, an alliance chain architecture and an intelligent contract are utilized to realize data uploading and storage, access permissions of different block chains are set, and a consensus algorithm is dynamically adjusted by monitoring a network load and a node performance state in real time, so that the network load and the node performance state are monitored in real time. According to the method, the block chain network is guaranteed to run stably, in the data integrity verification link, through preliminary verification and detailed verification, comparison of hash values of all levels and accurate judgment of data integrity, complex data can be effectively processed, tampering positions can be quickly positioned, and verification efficiency and safety are improved.

The invention discloses a switch load balancing method based on fuzzy logic control, and the method comprises the following steps: S1, monitoring a network state in real time through quantum sensing equipment, and obtaining related parameters; s2, transmitting the parameters to a fuzzy logic controller for processing; s3, generating a load distribution strategy according to a predefined rule; s4, transmitting the preliminary strategy to each switch node in the block chain network, and recording related data; s5, verifying the data by using a distributed consensus mechanism of the block chain; s6, dynamically evaluating a node trust value based on an enhanced fuzzy trust model, and selecting nodes meeting requirements to participate in a load balancing game decision; s7, carrying out cooperative calculation on the selected nodes by utilizing a game theory cooperation mechanism, and generating a globally optimized load distribution strategy; and S8, optimizing a load distribution strategy through a quantum genetic algorithm, and performing automatic execution through an intelligent contract. According to the method, the advantages of fuzzy logic, the block chain and quantum computing are combined, and the intelligence and safety of load balancing are improved.

The invention relates to the technical field of cross-border logistics, and discloses a cross-border e-commerce commodity traceability method and system based on a block chain, and the method comprises the following steps: generating a unique traceability code for each cross-border e-commerce commodity, extracting an original information field of the cross-border e-commerce commodity, and calculating an anti-counterfeiting hash value; performing structured packaging on the original information field and the anti-counterfeiting hash value according to a preset template, confirming a transaction through a consensus mechanism, writing the transaction into a block chain, and generating a block hash value; operation information of all logistics nodes is collected, abnormity is recognized through an abnormity detection algorithm, and data fingerprints obtained after abnormity recognition are encrypted and stored; the encrypted and signed operation information is submitted to a block chain network, and a block chain node verifies the validity of a digital signature through a public key of a producer and verifies the legality through a consensus mechanism; and proving an aggregation verification result by using zero knowledge. According to the invention, a complete traceability path is displayed, and full-chain transparent management from production to consumption is realized.

The invention discloses a privacy protection method, system and device for block chain network node audit management, and the method specifically comprises the steps: generating a node anonymous voucher for a candidate node, carrying out the privacy authentication, mapping the sensitive information of the authenticated candidate node into an irreversible cryptographic hash value, and storing the irreversible cryptographic hash value in a distributed key management node; constructing a dynamic credible auditing group, selecting verification nodes from the candidate nodes, and performing uplink evidence storage after BLS aggregation signature; performing privacy aggregation calculation on the node behavior data of the verification node to generate an audit score ciphertext; fine-grained access control is realized through attribute-based encryption, and a node reputation level is dynamically bound through an auditing strategy; adaptive noise is added to an audit result by adopting a differential privacy mechanism, and the epsilon-differential privacy constraint condition is met by dynamically adjusting the noise amount; in the reward and punishment execution stage, a ring signature and a stealth address technology are combined, so that reward and punishment records are unhooked from real identities of nodes, and meanwhile, the trade traceability is ensured.

The invention discloses a judicial data security sharing and tracing method based on a block chain technology, and the method comprises the following steps: S1, initializing a block chain network, generating a node reputation value, and binding an identity label; s2, constructing a double-chain structure, storing the encrypted data, recording an access behavior, and establishing a cross-chain index mapping relationship; s3, extracting identity information of an access subject, executing attribute encryption, writing in a data link, and synchronizing a cross-chain index; s4, after an access request is received, permission verification is completed through the smart contract, and a behavior record abstract is generated; s5, binding the behavior abstract and judicial data through a cross-chain index, and recording the behavior abstract and the judicial data to a behavior chain to form a complete on-chain behavior record; s6, calling a zero-knowledge cross-chain protocol to verify data consistency, and completing document transmission according to a joint permission strategy; and S7, tracking all access records through a behavior chain, wherein the whole transmission process is traceable. According to the invention, safe sharing of judicial data, authority control and behavior tracing are realized.

The invention relates to the technical field of Internet of Things data management, in particular to an intelligent terminal identity authentication and data security management method, system and device based on a block chain and a medium, and the method comprises the steps: generating a unique identity label and a public and private key pair of an intelligent terminal device, a fog node and a user, packaging a digital certificate, and writing the digital certificate into a block chain network; the intelligent terminal equipment initiates a registration request, and the blockchain network distributes a hosting fog node to the intelligent terminal equipment after verification is passed; the intelligent terminal device generates data, constructs a data fingerprint, sends the data fingerprint to the block chain network for storage, encrypts the data, and sends the data to the hosting fog node for storage; a user initiates an authentication request, and a temporary access token is generated after verification is passed; and establishing a secure communication channel by using the temporary access token, obtaining the required encrypted data stored by the fog node, decrypting to obtain the required data, and verifying the integrity of the required data by using the data fingerprint. According to the invention, the overall security and reliability of data management of the Internet of Things system can be significantly improved.

The invention discloses an automobile part multi-source fusion tracing method and system based on a distributed block chain. Firstly, a block chain network and a tracing platform are constructed; a microscopic visual feature image of the surface of the automobile part is collected, the texture type is judged, features are extracted, electromagnetic field intensity distribution features are extracted in combination with an RFID tag, and electromagnetic fingerprints are recognized through a neural network; secondly, multi-source feature data and production and transportation information are bound with unique identifiers and then stored in a distributed block chain network, and a five-layer Merkel tree storage structure is adopted to ensure that the data cannot be tampered; and finally, constructing a tracing query module of a three-layer architecture, and automatically managing data writing and query through an intelligent contract. According to the invention, through combination of multi-feature fusion and the block chain technology, the problems of information island and weak traceability of a traditional traceability system are solved, credible traceability and authenticity identification of automobile parts in the whole life cycle are realized, and the supply chain data security and query efficiency are improved.

Systems and methods for supply chain network modeling and performance prediction are disclosed. In some embodiments, a disclosed method includes: receiving, from a computing device, a query associated with a supply chain network; representing the supply chain network as at least one graph based on historical transactions in the supply chain network; obtaining at least one machine learning model that is trained based on graph data related to nodes and edges in the at least one graph; generating, using the at least one machine learning model, supply chain prediction data based on the query; and transmitting the supply chain prediction data to the computing device.

The invention discloses a digital asset management method and device, equipment, a storage medium and a program product, and the method comprises the steps: carrying out the hash calculation of transaction data when a super SIM card receives a transaction request carrying transaction data sent by first equipment, and generating a transaction hash value; performing hierarchical signature on the transaction hash value through a preset signature algorithm, and triggering personal identification code authentication of the user so as to release signature data of the hierarchical signature after the personal identification code authentication is passed; and sending the verification abstract of the personal identification code and the signature data to a block chain network, so that the block chain network verifies the signature data, stores the signature data after verification is passed, and returns a transaction confirmation event to the first device. According to the embodiment of the invention, the super SIM card is used as a security carrier, and the transaction data hash calculation, the hierarchical signature and the personal identification code authentication are combined, so that the whole-process security protection of the digital asset transaction is realized, and the security of the digital asset transaction can be effectively improved.

The invention discloses a block chain-based traditional Chinese medicine cupping jar full-life-cycle intelligent tracing method and system, and the system carries out the information collection of all links of cupping jar production, circulation and use, carries out the chaining storage of encrypted data, and achieves the transparency, non-tampering and traceability of the cupping jar full-life-cycle information. Specifically, environment and use data are collected in production and use sites, are preprocessed and packaged into transaction, are broadcasted to a block chain network, are recorded to an account book after multi-party consensus, and are subjected to credibility calculation in combination with a formula. The system provides a traceability query interface and an abnormity early warning function, and effectively guarantees quality safety and supervision compliance of the traditional Chinese medicine cupping jars. The system is suitable for the field of traditional Chinese medicine instruments, the digital and intelligent management level of the traditional Chinese medicine cupping jar industry is improved, and the safety is improved.

The invention relates to the technical field of supply chain risk prediction based on causal reasoning, and discloses a supply chain risk prediction method and device based on causal reasoning, equipment and a medium. The method comprises the following steps: constructing a double-layer knowledge graph of a regulation layer knowledge graph and a logistics physical layer knowledge graph; real-time fusion and characterization of geographical regulation and logistics operation multi-source heterogeneous data are realized, the perception real-time performance and coverage dimension of risk events are improved, then a multi-level causal chain is automatically generated by introducing a large language model, a complex conduction path of risks in a supply chain network can be deeply inferred, and the risk prediction accuracy is improved. According to the method, the defect that hidden association mining is insufficient in a traditional method is overcome, reasoning of risk traceability is improved, and finally a risk prediction result is obtained by mapping causal chain nodes to a logistics physical layer knowledge graph and performing probabilistic calculation. The method has the beneficial effects that the risk prediction of the specified supply chain is realized, and the accuracy of the risk prediction result is improved.

The invention discloses an airport operation and maintenance data storage method and device based on a block chain and electronic equipment, and relates to the field of airport operation and maintenance data security management.The method comprises the steps that a first hash value is calculated for collected original operation and maintenance data, and a probe private key is used for conducting double-layer digital signature, transmitting the signed operation and maintenance data packet to an intelligent operation and maintenance system by adopting a preset encryption communication channel, calling a block chain intelligent contract through the intelligent operation and maintenance system under the condition that the integrity verification of the single piece of original operation and maintenance data is passed, and verifying the legality of the double-layer digital signature; and performing structured processing on the original operation and maintenance data passing the signature verification, and storing the original operation and maintenance data to a block chain network. According to the method and the device, the technical problems that data among multi-source heterogeneous systems is insufficient in credibility in a management process of airport operation and maintenance data, the security of data transmission cannot be guaranteed, and data leakage is easily caused in related technologies are solved.

The invention provides an intelligent resource decision-making method based on industrial chain collaborative optimization, and relates to the technical field of industrial internet management, and the method comprises the steps: integrating resource data, business data, external environment and other multi-source heterogeneous data from all participants, combining a causal conduction rule and an operation constraint rule, and carrying out the collaborative optimization of an industrial chain. According to the method, a dynamic digital model capable of simulating a real industrial chain operation mechanism is generated, concurrent extreme conditions of multiple risks in reality are simulated through a composite interference scene for deduction, and a corresponding multi-dimensional toughness index and a visual toughness profile are generated based on a simulation result; precise positioning of key fragile nodes and fragile conduction paths is realized, deduction of different types of composite interference scenes can simulate influences of various complex factors appearing in an actual industrial chain, so that corresponding resource allocation strategies are generated, a coping basis and a precaution basis are provided for appearing of the actual interference scenes, and the resource allocation efficiency is improved. And the coping capability of the industrial chain network to the emergency scene interference is improved.

The invention discloses a digital certificate life cycle management method based on a block chain, and relates to a block chain and digital identity authentication technology, and the method comprises the steps: receiving a certificate issuing application submitted by a certificate applicant, and writing the certificate issuing application into a certificate application node of a block chain network; obtaining a historical certificate revocation record of a certificate applicant through the verification node based on the certificate revocation state query interface, and performing security evaluation on the certificate issuing application to generate an evaluation result; when the evaluation result shows that the applicant has no historical certificate revocation record, a digital certificate is generated through the certificate issuing node, and the digital certificate and the identity identification information of the certificate applicant form a certificate block; and broadcasting the certificate block to all nodes of the block chain network through the certificate issuing node, and recording state change information to form a state tracing chain. According to the invention, the whole digital certificate management process and the block chain technology are deeply fused, a complete closed-loop management system is constructed, and revolutionary upgrading of a traditional certificate management system is realized.