13results about How to "Improve consensus efficiency" patented technology

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 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.

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 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.

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 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 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.

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 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 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.