27results about How to "Improve consensus efficiency" patented technology

The invention discloses a multi-level transaction security authentication method based on supply chain finance, and relates to the technical field of financial services, and the method comprises the steps: reading encrypted data stored in a block chain when a transaction is initiated, and calculating a dynamic credit score in combination with real-time data in a transaction request; according to the dynamic credit score, the transaction amount and the transaction frequency, carrying out risk grade division on the transaction; dynamically triggering a corresponding authentication level according to the transaction risk level, and performing privacy protection verification on sensitive data related to the transaction in combination with a zero-knowledge certification technology; after verification is passed, an adaptive hierarchical consensus mechanism is selected according to the transaction risk level to execute a consensus operation, and a consensus result is stored in the block chain; the transaction risk levels are dynamically divided, and corresponding authentication levels are triggered for different risk levels, so that the high efficiency of low-risk transactions is ensured, and fine-grained privacy protection is provided for high-risk transactions.

The invention discloses a practical Byzantine fault-tolerant consensus method, device and equipment for commodity transaction in a block chain, a medium and a product, and relates to the field of block chains. The method comprises the following steps: initializing alliance chain network nodes, and dividing the alliance chain network nodes into a double-layer network structure comprising a main network layer and a secondary network layer; grouping in a secondary network layer according to the nearest neighbor communication time delay of the nodes; after each round of consensus is finished, reputation score calculation is carried out on the nodes based on attribute scores of mechanisms to which the nodes belong and dynamic behaviors of the nodes in the commodity transaction process, the node with the highest reputation score is periodically selected from each group to serve as a main node in the group, and other nodes in the group serve as common nodes; local consensus is carried out on the main node and the common node in each group in the respective group; and adding the main nodes in each group to a main network layer to participate in global consensus. According to the invention, the overall consensus efficiency and stability of the network can be improved, and stable and efficient transaction of commodities on the block chain is ensured.

The invention provides an optimization method and system for an alliance block chain consensus mechanism, and belongs to the technical field of the alliance block chain consensus mechanism, a multi-leader node mode and a multi-chain DAG storage architecture are adopted, under the mode and the architecture, when a certain leader node is delayed or has an error, other normal nodes can still continue proposal and processing, and the optimization efficiency of the alliance block chain consensus mechanism is improved. And a node rotation mode does not need to be entered, so that the problems of system stagnation, high resource consumption, difficulty in view processing and the like during leader rotation are avoided. Parallelization processing of consensus transactions is achieved based on multiple threads, each replica node processes proposal actions and voting actions of the replica node and proposal actions and voting behaviors of other replica nodes at the same time in a multi-thread mode, and high concurrency consensus can be achieved. And meanwhile, decoupling optimization is performed on block consensus, and a consensus mechanism is constructed from two aspects of view consensus and execution consensus by using a threshold signature algorithm, a two-section consensus, a block request mechanism and an expectation set construction model.

The invention relates to the technical field of bearing fault diagnosis, in particular to a bearing fault diagnosis method based on a neural network and multi-criterion preference consensus, and the method comprises the steps: data collection and feature extraction, data preprocessing, fault diagnosis model matching, preliminary diagnosis and probability generation, final diagnosis and probability generation, and bearing state decision making. According to the method, a multivariate decision-making auxiliary model fusing a physical marginal value function and a neural network attention mechanism is provided, and a reinforcement learning driven consensus achievement process is combined, so that adaptive optimization of a multi-expert fault diagnosis result is realized; the problems that an existing bearing fault diagnosis method cannot deal with complex working conditions, is insufficient in physical interpretability, depends on a single decision mode and mostly adopts static weight distribution are solved, the accuracy, robustness and interpretability of bearing fault diagnosis are improved, and high-precision and low-round group fault diagnosis is achieved.

The invention provides a block chain up-chain and down-chain storage method and system based on file fragments, and relates to the technical field of block chain storage, and the method comprises the steps: obtaining transaction encryption file data to be subjected to up-chain storage and a block chain node; fragmenting the transaction encrypted file data, classifying block chain nodes, and determining a main node for each class of block chain nodes; storing the fragmented transaction encryption file in the divided different types of block chain nodes, and confirming that contents sent by each type of block chain node are consistent through a consensus algorithm; calculating a hash value for each group of fragmented data for positioning, collecting storage fragments among different types of blockchain nodes by using an intelligent contract in a blockchain broadcast form, and determining correct fragmented file contents through a consensus mechanism so as to realize on-chain information verification; and completely splicing the storage fragments passing the on-chain information verification to obtain an initial transaction encrypted file data complete file, thereby realizing the on-chain distributed storage of the block chain.

The invention discloses a building supply chain transparent communication system and method based on a block chain, and relates to the field of block chain technology and building supply chain management, and the system comprises the following components: a block chain underlying network, an intelligent contract module, a terminal collection node, an authority management module and a communication interaction module. According to the invention, by deploying the intelligent contract module, the business rules of automatic payment, performance verification and dispute early warning are realized, and the application of a dynamic acceptance weight verification algorithm and a dynamic threshold dispute early warning mechanism enables the payment trigger logic to better meet the actual demand of a project, improves the payment accuracy by 27%, reduces disputes caused by fuzzy acceptance standards, and improves the payment efficiency. Meanwhile, the dispute early warning mechanism monitors on-chain performance data in real time, automatically triggers early warning when the data deviates from a preset threshold value, synchronously pushes early warning information to related nodes, and generates an on-chain early warning certificate.

The invention discloses an adaptive dynamic fragmentation block chain network construction method and system. A verifiable random function is used to quickly elect a directory committee and a consensus committee. And the directory committee generates a committee state table for recording the state of the consensus committee, and assists the consensus committee in consensus. The invention designs a consensus committee number adjustment algorithm to adjust the number of committees according to transaction processing requirements. According to the method, a weighting mechanism is designed for the consensus committee, so that the efficient consensus committee calling sequence is realized, and the consensus efficiency is improved. The invention also provides a new consensus method for reducing repeated consensus through threshold signature. The fragment number of the fragment block chain can be dynamically adjusted, the consensus efficiency is improved, and the expenditure of repeated consensus is reduced.

This invention relates to the field of bearing fault diagnosis technology, specifically to a bearing fault diagnosis method based on neural networks and multi-criteria preference consensus. The method includes: data acquisition and feature extraction, data preprocessing, matching a fault diagnosis model, preliminary diagnosis and probability generation, final diagnosis and probability generation, and bearing state decision-making. This invention provides a multivariate decision-making auxiliary model that integrates physical marginal value functions and neural network attention mechanisms, combined with a reinforcement learning-driven consensus-building process, to achieve adaptive optimization of multi-expert fault diagnosis results. This not only solves the problems of existing bearing fault diagnosis methods being unable to handle complex working conditions, lacking physical interpretability, relying heavily on single decision-making patterns, and using static weight allocation, but also improves the accuracy, robustness, and interpretability of bearing fault diagnosis, achieving high-precision, low-round group fault diagnosis.

The embodiment of the application provides a networking method of a blockchain network, a blockchain network and a node device. The blockchain network comprises a consensus subnetwork composed of a plurality of consensus nodes and at least one regional subnetwork corresponding to different geographical positions. The regional subnetwork comprises a plurality of non-consensus nodes. The plurality of non-consensus nodes comprises at least one relay node receiving consensus data from the consensus nodes, and at least one ordinary node receiving the consensus data forwarded by the relay node from the relay node. The method comprises the following steps: determining a target regional subnetwork corresponding to a geographical position where a network device is located, and initiating registration for the target regional subnetwork; in response to completion of the registration for the target regional subnetwork, determining whether the network device meets the condition of becoming a relay node; if yes, establishing a network connection with the consensus nodes in the consensus subnetwork as the relay node; and if no, establishing a network connection with the relay nodes in the target regional subnetwork as the ordinary node.

A networking method of a blockchain network, comprising: determining a target regional sub-network corresponding to a geographic location where the network device is located, and initiating registration for the target regional sub-network; in response to completion of the registration for the target regional sub-network, determining whether the network device meets the condition of becoming a relay node; if yes, establishing network connections with at least N consensus nodes in the consensus sub-network respectively as a relay node; wherein the value of N is greater than the maximum fault-tolerant node number of the blockchain network; if no, establishing network connections with at least M relay nodes in the target regional sub-network respectively as a normal node; wherein M is a robustness threshold corresponding to the relay nodes in the target regional sub-network calculated in advance.

The application belongs to the technical field of consensus in medical scenarios, and provides a medical alliance blockchain grouping consensus method and system based on leader group decision, aiming at the realistic problems of high communication complexity, power concentration and master node failure of traditional PBFT in large-scale node scenarios, combining a node level grouping model, through hierarchical design of leader group decision, adopting a grouping strategy to prevent power concentration, through parallel decision of the leader group, while ensuring post-quantum security, reducing communication overhead, improving consensus efficiency and avoiding power concentration.

The invention relates to a teaching test method and system for vocational education, and belongs to the technical field of teaching test systems. Comprising the steps of building a feedback participation framework of student education and teaching, packaging training project homework and related information of test skill points into a transaction, and sending the transaction to an alliance block chain network; encrypting the answer data and the generated answer information, creating a transaction, and sending the encrypted data to the cloud platform; scoring and screening the answer data based on the reference answers through the received student answer data; packaging the screened answer data into a to-be-verified block for consensus; and evaluating the mastering degree of the skill points of the students through the check score and the decision result of the consensus process. According to the technical scheme of the invention, the interactive feedback platform is constructed to instantly release the training project operation of the skill points, so that the efficient and timely testing is realized, and the knowledge of the mastering degree of the skill points is further improved in combination with the answering data score and mutual evaluation inspection mode.

This invention discloses a smart contract execution method in data asset transactions, belonging to the field of smart contract execution technology. The method includes: based on multiple transaction nodes triggered during smart contract execution, a reputation value is obtained based on the historical transaction execution of each transaction node for hierarchical selection, resulting in a verification layer and an execution layer, each containing multiple transaction nodes; based on each transaction node in the verification layer, signature validity verification is performed, and the validity verification pass rate is compared with a first threshold; in response to a validity verification pass rate greater than or equal to the first threshold, based on the multiple transaction nodes in the execution layer, some transaction nodes are selected for cross-validation, and the cross-validation pass rate is compared with a second threshold; if the cross-validation pass rate is less than the second threshold, cross-validation is performed on all transaction nodes in the execution layer for transaction execution judgment; if the cross-validation pass rate is greater than or equal to the second threshold, the transaction is executed.

The invention discloses a trusted timestamp generation method and device, equipment, a storage medium and a product, and relates to the technical field of data processing, and the method comprises the steps: obtaining the time of each core node in a timestamp generation system for responding to a timestamp request; determining a target core node according to the time when each core node responds to the timestamp request; determining a target association node according to the fitting degree between the nodes; when it is detected that the target core node initiates a timestamp verification consensus request, generating a trusted timestamp according to a consensus result of the target associated node; through the mode, after each core node in the time generation system is determined, the target core node is further determined, and when the target core node initiates the timestamp verification consensus request, only the target associated node participates in consensus, so that the timestamp consensus efficiency is improved on the premise of not losing the accuracy, and the time generation efficiency is improved. And the timestamp can be prevented from being tampered through a decentralized consensus mode, so that the efficiency, the accuracy and the credibility of generating the timestamp can be effectively improved.

The invention provides a microgrid block chain rapid transaction method based on optimized PBFT. The method comprises the following steps: firstly, collecting transaction history and output stability parameters of distributed energy nodes (DERs) in a microgrid, and establishing a dynamic credit scoring model; then, a verifiable random function is utilized to elect a consensus leader from candidate nodes, and a safety access mechanism adapting to topological changes is formed; and the leader node generates a variation Schnorr signature in combination with the electric energy transaction data and the state timestamp of the power distribution network, and transmits the variation Schnorr signature in the logic fragment through multicast. And verifying the replica node, generating a partial signature and aggregating the partial signature to realize message compression. And finally, verifying the aggregated signature in batches, updating the credit score and asynchronously caching the block. According to the method, communication congestion and delay of the PBFT in high-frequency transactions are relieved, and the system throughput and scheduling stability are improved.

The application discloses a kind of intelligent contract execution methods in data asset transaction, belong to intelligent contract execution technical field, comprising: according to the multiple transaction nodes triggered when intelligent contract execution, according to the credit value of each transaction node historical transaction execution judgment, to carry out hierarchical selection, obtain verification layer and execution layer, verification layer and execution layer all include multiple transaction nodes;Based on each transaction node of verification layer, the legality verification of signature is executed, and the legality verification pass rate is compared with the first threshold value;In response to the legality verification pass rate greater than or equal to the first threshold value, based on the multiple transaction nodes of execution layer, extract part of transaction node to execute cross-validation, and the cross-validation pass rate is compared with the second threshold value;If cross-validation pass rate is less than the second threshold value, then based on the cross-validation of all transaction nodes of execution layer, for transaction execution judgment;If cross-validation pass rate is greater than or equal to the second threshold value, then transaction execution.

The invention discloses a distributed block chain node state detection method and device and a storage medium, and relates to the technical field of block chains. The method comprises the following steps: collecting self-inspection information of each node on a distributed block chain; broadcasting the self-checking information of each node to each node except the node; after the ith node receives the self-checking information of the jth node, verifying a signature carried in the self-checking information of the jth node by using the public key of the jth node through the ith node, and obtaining cross-checking information of the ith node to the jth node after the signature verification is passed; and after the cross check information corresponding to each node is broadcasted to each node except the node, consensus is carried out on the cross check information corresponding to each node through each node, and a detection result of each node is obtained. According to the method and the device, the problem of consensus efficiency reduction caused by lack of effective node health condition monitoring in block chain and alliance chain environments in the prior art is solved.

The application discloses a kind of fusion dynamic trust self-purification distributed network communication system and method, belong to network security technical field.System is composed of multiple peer nodes, and each node integrates trust management module, consensus communication module, data routing module and node management module.Trust management module continuously monitors node behavior, and real-time trust value is dynamically calculated based on success rate, response delay, activity and other multidimensional indexes, when trust value is below threshold value, automatically isolate malicious node, realize the self-purification ability of cedar.The consensus communication module is based on trust value screening participating node, and executes byzantine fault tolerance consensus in the trusted node set, improves efficiency and security.Data routing module calculates optimal path by comprehensively path trust score and performance score, automatically avoids low trust node, embodies the solid and reliable of oak.The application can be applied to Internet of Things, Internet of Vehicles and other high dynamic scenes, has the beneficial effects of endogenous initiative security, consensus efficiency, routing reliability, provides systematic solution for next-generation distributed network communication.

The embodiment of the invention discloses a block chain consensus method and device and electronic equipment. The scheme comprises the following steps: acquiring a correlation factor and a correlation node of each block chain node; performing grouping processing on all the block chain nodes according to the correlation factors and the correlation nodes to obtain a cloud consensus group and at least one edge cluster consensus group; for each edge cluster consensus group, constructing an edge consensus tree, and performing first-level consensus based on the edge consensus tree; in response to passing of the first-level consensus, performing second-level consensus based on cloud consensus grouping; and determining that the block chain consensus is passed in response to the passing of the second-level consensus. According to the embodiment of the invention, the block chain full-amount consensus is converted into cloud and edge collaborative consensus, and consensus is carried out in the edge cluster based on the corresponding edge consensus tree, so that the block chain nodes carrying out consensus and the communication quantity between the block chain nodes are obviously reduced, and the block chain consensus efficiency is improved on the premise of ensuring the block chain consensus accuracy. And the block chain consensus efficiency is obviously improved.

The invention is suitable for the technical field of block chains, and provides a block chain consensus method and device based on a directed acyclic graph, and computer equipment. The directed acyclic graph is generated by expanding a plurality of consensus nodes in a block chain in a consensus process of each round, each submission unit generated based on three consecutive rounds corresponds to each view in the directed acyclic graph, each view is generated in each round, and the method comprises the following steps: determining an anchor vertex in the kth view; after the anchor vertex in the kth view is successfully submitted, generating a (k + 1) th submission unit in the (k + 1) th view; the (k + 1) th submission unit comprises three consecutive rounds which are respectively a proposal round, a voting round and a decision round of the (k + 1) th submission unit in sequence, the proposal round of the (k + 1) th submission unit is a voting round of the kth submission unit, and k is a positive integer. By adopting the method, the consensus efficiency of the consensus nodes in the block chain can be improved, and proposal submission delay generated in the consensus process can be reduced.

This application discloses a method, system, device, and medium for processing blockchain consensus data, including: packaging business data generated by a database and sending it to a block-producing node; the block-producing node generating first signature data to be agreed upon based on the business data; sending the business data and the first signature data to a consensus node for consensus processing based on a target compressed data packet structure to obtain consensus data; wherein the target compressed data packet structure includes a target file header, a data area, and a file tail; wherein the target file header includes the original file header and file tail; packaging the consensus-adjusted business data into blocks for on-chain processing and storing the consensus data; when the number of consensus data groups stored in the blockchain blocks reaches a preset threshold, performing backup-based deletion processing on the consensus data. This application can improve consensus efficiency and block generation speed, reduce the storage pressure on nodes, effectively improve the operational stability of the blockchain system, and can be widely applied in the field of blockchain technology.

The present invention discloses a charging pile subsidy data management method based on blockchain, and the management method comprises four steps: S1: constructing a charging pile subsidy data management model by using a JavaEE framework, S2: improving the PBFT algorithm from the perspective of improving system performance and response time, S3: using a smart contract combining a public-private chain to protect data, and S4: executing the management method. The management method of the present invention saves a lot of management costs compared to the manual management of charging pile subsidies, and uses blockchain to improve the credibility of charging pile subsidy data. The system has high performance and short response time, and effectively solves the problems of high charging pile subsidy data management cost and low data credibility in the prior art, as well as the problems that the existing PBFT algorithm is not completely applicable to the charging pile subsidy data management based on blockchain, and has large network overhead, high latency, and performance that needs to be improved.

The application belongs to the technical field of blockchains, and discloses a blockchain consensus method, device, equipment, storage medium and product. The method comprises the following steps: when a new label image is acquired by a blockchain node, determining a blockchain node with the highest classification accuracy according to a feature convolution value of the new label image; taking the blockchain node with the highest classification accuracy as a consensus node, and initiating a chain consensus based on the consensus node. In the foregoing manner, the blockchain is fused with image recognition, meaningless hash calculation is converted into calculation for improving image classification accuracy during blockchain consensus, the blockchain consensus efficiency is improved, the computing resource is saved, and the computing resource use efficiency is improved.

This invention relates to an improved Prim blockchain network transmission optimization method that combines training loss and privacy loss, belonging to the fields of blockchain and privacy computing technology. First, the dataset to be trained is first subjected to Laplacian noise before local training. Based on the training results, the training loss L is obtained. f ; calculate the privacy loss L based on the noise mechanism added to the dataset. p Secondly, according to L i =λL f +ηL p Calculate the overall loss value. Finally, based on the overall loss evaluation value of the nodes, construct a minimum spanning tree using the Prim algorithm, and select the node on the branch with the minimum loss as the consensus node. This invention can optimize communication between nodes in a blockchain network, improve the scalability of blockchain network transmission, and balance the contradiction between data training loss and privacy loss.

The invention relates to the technologies of the Internet of Vehicles, block chains, consensus algorithms and the like, and discloses a PBFT algorithm improvement method for identity authentication of the Internet of Vehicles. In the method, only dynamic vehicle nodes are used as consensus nodes, k fixed and credible road side units are preset based on a K-Medoids clustering algorithm and are used as clustering centers, the vehicles are divided into nearest groups according to the communication distance between the vehicles, and a threshold value is set to enable the number of nodes in each group to be similar; and then a consensus process is improved according to a grouping result, the consensus process is divided into intra-group consensus and inter-group consensus, the communication consumption and the communication time delay of a PBFT consensus algorithm and the number of messages propagated in the network are reduced, and the network load and the communication overhead are reduced.

The application provides a method and device for point-to-point power transaction consensus, and an electronic device. The method comprises: in response to receiving a plurality of power transaction demand information and constraint conditions published by a transaction demand party of a power transaction, obtaining a plurality of transaction response information provided by a transaction response party; respectively determining a deviation value of each transaction response information and corresponding information in the plurality of power transaction demand information, obtaining a plurality of deviation values of each transaction response party for selecting an initial target response party from the transaction response party; for each initial target response party, determining the weight of the plurality of deviation values; calculating the weighted sum value of each deviation value in the plurality of deviation values and the weight of the corresponding deviation value, obtaining the comprehensive deviation value of the initial target response party; selecting a target transaction response party based on the comprehensive deviation value of each initial target response party; and in response to the target transaction response party reaching consensus with the transaction demand party under the condition of meeting the constraint condition, determining that the consensus is completed, which can improve the consensus efficiency.

The invention discloses a node credibility consensus method, which comprises the following steps of: grouping nodes, and electing consensus nodes in each node group; each node monitors adjacent nodes in the node group, generates transaction information based on abnormal behaviors of the adjacent nodes, and sends the transaction information to the consensus nodes in the corresponding node group; generating credibility change information of the node with the abnormal behavior based on the transaction information, performing consensus on the credibility change information among consensus nodes of each node group, and updating the credibility information of each node based on a consensus result; and based on the updated node credibility information, credible nodes are screened, the credible nodes are grouped, consensus nodes of each node group are selected again, and a new round of node credibility consensus is carried out. Compared with the prior art, the method has the advantages that the judgment precision of malicious nodes is improved, the communication complexity is effectively reduced, and the consensus efficiency is improved. And a lightweight storage and efficient consensus block chain scheme is realized.