48 results about "Chain system" patented technology

A multi-body dynamics simulation method, system, device and medium for a chain system, the method comprising: acquiring a connection relationship among a plurality of target components in the chain system, a structure parameter, a space environment parameter and a task parameter of each target component, and a physical property of a lubricating medium of the chain system under the space environment parameter; correcting the structure parameter of each target component based on the space environment parameter to obtain a target structure parameter; based on the target structure parameters and the connection relation, determining friction characteristic indexes and motion freedom degrees among the multiple target assemblies; constructing a lubrication-volatilization-friction coupling matrix among the plurality of target components; constructing a multi-body dynamic model according to the target structure parameters and the lubrication-volatilization-friction coupling matrix; and acquiring a rotating speed fluctuation curve and load torque data corresponding to the task parameters, and inputting the rotating speed fluctuation curve and the load torque data into the multi-body dynamic model to obtain a dynamic simulation result of the chain system. The reliability of multi-body dynamics simulation of the chain system can be improved.

The invention discloses a dynamic trust-based block chain rewriting method supporting update traceability, the method is applied to an editable block chain system, and the method comprises the following steps: a modifier broadcasts modification suggestions to other committee members in the rth round; the rth round of committee members are obtained through election based on the trust value of each user at the rth moment, and the trust values of the user nodes at the rth moment are determined according to historical transactions, consensus and modification behaviors of the user nodes; other committee members verify the modification suggestions; and if the verification is passed, other committee members accept the modification of the original information by the modifiers, replace the original information with the modification information on an editable global account book, and store the modification signature and the modification random number. According to the invention, the safety performance of the editable block chain system can be improved.

According to a present invention embodiment, a system for accessing an asset comprises one or more memories and at least one processor coupled to the one or more memories. The system acquires an asset identifier for one or more second systems based on a corresponding asset identifier for a first system. The corresponding asset identifier for the first system and the asset identifier for the one or more second systems are linked to enable access of an asset of the corresponding asset identifier on the first system using the asset identifier for the one or more second systems. Embodiments of the present invention further include a method and computer program product for accessing an asset of a system in substantially the same manner described above.

The invention belongs to the technical field of block chains, and discloses an editable block chain editing method, system and device with a dynamic editing right. The method of the invention comprises; constructing a leader public key and a main trap door; when a user needs to edit data on the block chain, the user inquires own reputation points and determines that the user has right to initiate an editing request, and then generates the editing request and sends the editing request to a leader; the leader broadcasts the editing request to other users in the system after verifying the authority; the user and the leader respectively carry out self-inspection and verification on the voting authority, and if the voting is passed, the leader generates a slave trap door and distributes a sub-key of the slave trap door to each user; selecting an editor of the editing request for editing; and the supervisor verifies the editing operation and updates the reputation points of the related users. According to the method, the editable function of the block chain system can be realized, the editing permission can be dynamically adjusted, and the problems of responsibility investigation and limitation of the editing permission when data problems occur after editing can be solved.

The invention relates to the technical field of automatic advanced control theory and application, and provides a non-matching disturbance suppression method and equipment based on an extended compensation function observer, and the method aims at a non-integral chain system with non-matching disturbance, carries out the order expansion processing of the non-integral chain system, and obtains an extended system for displaying and presenting the order derivative of the non-matching disturbance. Designing an expansion compensation function observer according to the expansion system, performing error analysis on the expansion compensation function observer, and selecting gain of the expansion compensation function observer according to a convergence principle of an expansion error equation; and a model compensation control strategy is designed according to the extended compensation function observer and the state error feedback, so that the non-matching disturbance of the non-integral chain system is inhibited. According to the method, the non-matching disturbance of which the order derivative approaches zero can be estimated, so that the limitation on the disturbance is greatly relaxed, and an anti-disturbance control solution with higher precision and wider applicability is provided.

The invention discloses an implementation method of a workflow integrated thinking chain system, which comprises the following steps of: defining three types of core nodes, namely function nodes, logic nodes and integrated nodes, constructing a chain structure supporting dynamic generation, and realizing seamless integration among multiple workflows; according to the method, user input is disassembled into subtask nodes through semantic analysis and a predefined template, and a thinking chain is dynamically generated and adjusted in combination with intelligent logic modeling, real-time data analysis and dynamic rule iteration; meanwhile, the task scheduling and execution module calls an interface according to chain logic to complete node operation, and supports concurrent processing and state monitoring; the exception handling and self-optimization mechanism optimizes chain logic and improves execution efficiency and reliability through real-time exception detection, fault recovery and artificial intelligence analysis based on historical data.

The invention provides a cross-chain resource transfer method, system and device in a cross-chain system. The cross-chain system comprises a first block chain and a second block chain. A first resource contract, a first transition contract and a first cross-chain contract are deployed in the first block chain; a second resource contract, a second transition contract and a second cross-chain contract are deployed in the second block chain; the method is executed by a node of a first block chain. The method comprises the following steps: receiving a first transaction calling a first resource contract; the first transaction instructs to transfer a first resource from a first account of the first block chain to a second account of the second block chain; based on the first transaction, transferring the first resource from the first account to the first transition contract, calling a sending interface of the first cross-chain contract through the first transition contract, and transmitting a cross-chain message to the second block chain; the cross-chain message is used for indicating that the first resource is transferred to the second account through the second resource contract and the second transition contract.

The invention discloses a block chain transaction processing method and device, computer equipment and a storage medium. The method comprises the following steps: in response to a cleaning instruction of a first transaction set, determining a to-be-cleaned target block from the first transaction set; wherein the first transaction set is a transaction set corresponding to a to-be-packaged queue in a transaction pool corresponding to the node; respectively obtaining transactions from the target blocks; and when the current time meets the expiration time of the transaction, deleting the corresponding expired transaction from the first transaction set, and when the current time does not meet the expiration time of the transaction, adding the non-expired transaction into a second transaction set of the transaction pool until the transaction in the target block is processed. According to the embodiment of the invention, the operation efficiency of the block chain system can be improved.

Systems, devices, and methods for blockchain abstraction are provided. Via use of the exemplary systems and methods, transactions between one or more blockchains and one or more off-chain systems are made faster and simpler.

According to the index reconstruction method and device for the state data in the block chain system, the block chain system stores a data file and an index file through a persistent storage medium, the data file is used for storing a value of a state variable, the index file is used for storing an index entry, and the index entry comprises position information of the value of the state variable in the persistent storage medium; the method comprises the steps that a dredging index file and a target index file with the write-in time located behind a barrier point are combined, a new index file is obtained, the dredging index file is obtained by executing the current round of garbage collection on state data of a block chain system, and the barrier point is obtained when the current round of garbage collection starts to be executed; the index file is newly written into the persistent storage medium from the memory; and writing the new index file into the persistent storage medium.

The chain system fixed-point resampling method belongs to the technical field of rotating machinery signal processing, and aims to solve the problems that the time domain signal regularity of a single chain link is poor, the dynamics characteristics of the whole system are difficult to directly reflect, and the frequency domain feature extraction cannot be performed. The method comprises the following steps: extracting original data of discrete motion units from multi-body dynamics simulation results; at the preset data monitoring point position of the system, the nearest discrete motion unit is searched as a monitoring unit in real time by calculation; according to the data type, one of a direct method, a synthetic method and an average method is adopted to process the original data of the monitoring unit, and feature data representing the dynamics state of the fixed position are generated; and finally, the feature data are written into a file in time sequence. The time sequence data of the fixed position are collected through the fixed-point resampling method, and the problems that the data is strong in contingency, poor in regularity, and difficult to perform in-depth frequency domain and statistical analysis due to tracking a single motion unit are solved.

The invention discloses a fixed-point resampling method for a chain system, belongs to the technical field of signal processing of rotating machinery, and aims to solve the problems that the regularity of a time domain signal of a single chain link is poor, the dynamic characteristics of the whole system are difficult to directly reflect, and frequency domain feature extraction cannot be carried out. The method comprises the following steps: extracting original data of a discrete motion unit from a multi-body dynamics simulation result; searching the nearest discrete motion unit as a monitoring unit in real time by calculating the distance at a preset data monitoring point position of the system; according to the data type, processing the original data of the monitoring unit by adopting one of a direct method, a synthesis method and an average method, and generating characteristic data representing the dynamic state of the fixed position; and finally, writing the feature data into a file according to a time sequence. According to the method, time sequence data of a fixed position is collected through a fixed-point resampling method, and the problems that due to tracking of a single motion unit, data contingency is high, regularity is poor, and frequency domain deepening and statistical analysis are difficult to carry out are solved.

The present invention relates to the technical field of on-chain system architectures, and in particular to a completely decentralized on-chain system architecture, which includes block operation nodes, a data relay chain, and backup operation nodes. A user login unit and a data distribution unit are provided in the data relay chain. A security detection unit, a data encryption unit, and a data storage unit are provided in the block operation nodes. The backup operation nodes are provided with a backup encryption unit and a backup storage unit. Multiple groups of block operation nodes and backup operation nodes are provided, and the structure and operation process of the backup encryption unit are the same as those of the data encryption unit. The present invention can effectively solve the problem that the existing decentralized on-chain system architecture has poor security and the stored data is easily stolen by the outside world.

The application relates to the field of automation advanced control theory and application technology, and provides a non-matching disturbance suppression method and equipment based on an extended compensation function observer.The method is used for a non-integral chain system with non-matching disturbance, the non-matching disturbance is subjected to an extended order processing, and an extended system with non-matching disturbance order derivative display is obtained; the extended compensation function observer is designed according to the extended system, error analysis is carried out on the extended compensation function observer, and the gain of the extended compensation function observer is selected according to the convergence principle of the extended error equation; and the model compensation control strategy is designed according to the extended compensation function observer and the state error feedback, so that the non-matching disturbance of the non-integral chain system is suppressed.The application can estimate the non-matching disturbance with the order derivative tending to zero, so that the restriction on the disturbance is greatly relaxed, and a more accurate and more applicable anti-disturbance control solution is provided.

The embodiment of the invention discloses a block output method and device of an alliance chain system and the alliance chain system.The method comprises the steps that block output time of all consensus nodes in a consensus node group of the alliance chain system is monitored, and consensus votes of all the consensus nodes are monitored; determining whether a downtime consensus node exists in each consensus node or not based on the block-out time and the consensus voting of each consensus node; and in response to determining that the downtime consensus node exists and the downtime consensus node comprises a target consensus node, controlling the residual consensus nodes except the target consensus node in the consensus node group to output blocks in turn. According to the embodiment of the invention, overlong block output time of the consensus node group caused by downtime of the consensus node can be avoided, and the block output performance of the alliance chain system is greatly improved.

A block chain system allows mining for new valid values in a system such as a computer game or computer-based trading card system. Instead of each new value being added to the block chain being equivalent, each new value is one of a plurality of possible choices.

The embodiment of the invention discloses a data processing method and device of a block chain system and the block chain system.The method comprises the steps that in response to the fact that a two-layer gateway receives a target block submitted by a two-layer block chain, the two-layer gateway generates a target transaction based on the target block and sends the target block and the target transaction to a one-layer gateway; in response to the target block and the target transaction received by the first-layer gateway, caching the target block, and sending the target transaction to the consensus node of the first-layer block chain; consensus is carried out on the target transaction based on the consensus node, and state data updating is carried out based on the target transaction through a management contract of a layer of block chain; and in response to completion of state data updating, notifying the two-layer block chain through the first-layer gateway and the second-layer gateway. According to the embodiment of the invention, the program of the two-layer block chain does not need to be modified, and the program development cost is low. In addition, only a corresponding gateway program needs to be adapted for a heterogeneous two-layer block chain, and the applicability is high.

The invention is suitable for the technical field of block chains, and provides a block processing method and device of a block chain system, equipment, a medium and a product, and the method comprises the steps: obtaining proposal data in the block chain system; determining a data conflict type corresponding to each proposal according to the access data of the plurality of proposals and the detection sequence of each proposal, and determining a group corresponding to each proposal based on the data conflict type corresponding to each proposal; sorting the proposals in each group to obtain an intra-group execution sequence corresponding to each proposal; and based on the intra-group execution sequence corresponding to each proposal, combining the groups corresponding to each proposal to obtain combined groups, and generating blocks based on the proposals in the combined groups. Different proposals are grouped and isolated based on access data of the proposals and a detection sequence, a plurality of groups are sequenced in parallel, and the groups are merged, so that the sequencing efficiency is improved, the conflict detection times among the proposals in the block are reduced, and the block creation efficiency is improved.

The invention discloses a data processing method, device and equipment of a block chain system, a medium and a product. The method is applied to a node device of a block chain system, a multi-layer cache structure is arranged in the node device, the multi-layer cache structure comprises a plurality of hierarchies, the multi-layer cache structure is used for caching data of the block chain system according to the hierarchies, and the method comprises the steps that a data query request is received, the data query request is used for requesting to query first data, the data query request carries a first index value of first data; in response to the data query request, the priority of each level of the multi-layer cache structure is obtained, the query sequence of the levels is determined by the priorities of the levels, and the higher the priority of the levels is, the higher the query popularity of the index values of the cached data in the levels is; on the basis of the first index value, querying the first data in each hierarchy of the multi-layer cache structure according to the priority from high to low; and outputting a data query result. According to the embodiment of the invention, the data query efficiency of the block chain system can be effectively improved.

A method for rollback state data in a block chain system is characterized in that the block chain system uses a plurality of logic pages to store a state Merck tree, and each logic page comprises a current memory page used for representing current version contents of all tree nodes and a basic page used for representing a plurality of historical version contents of all tree nodes, the incremental pages are used for representing content changes of all historical versions between the adjacent basic pages; the method comprises the following steps: reading a first basic page, corresponding to a rollback target version, of each logic page; and carrying out first rollback on any first logic page, wherein the first rollback comprises the following steps: recovering a first memory page corresponding to the target version based on the first basic page, updating the current memory page into the first memory page, and deleting the basic page and the increment page after the first basic page.

The invention relates to a cross-chain object evaluation method based on a contribution algorithm, and the method comprises the steps: building a dynamic evaluation model of the credibility of a cross-chain object based on the influence factors of the behavior credibility of the cross-chain object; marking a to-be-tested cross-chain object based on the cross-chain object credibility dynamic evaluation model, and recording a credibility score of the to-be-tested cross-chain object; performing contribution value analysis on the to-be-tested cross-chain objects based on the contribution value evaluation model, and recording contribution values of different to-be-tested cross-chain objects in the cross-chain network; and analyzing the credibility score and the contribution value to obtain an analysis result, and setting various reward and punishment methods for different nodes, users and block chain networks in the cross-chain system based on the analysis result. According to the cross-chain object evaluation method, credibility and contribution value analysis are integrated, a fair and normative reward and punishment scheme is provided for different objects in a cross-chain network, cross-chain operation behaviors are further supervised and normative, and the problems that cross-chain object evaluation is nonstandard and nonnormative and reward and punishment standards in the cross-chain network are not clear are solved.

The invention provides a cross-chain system function evaluation method, which comprises the following steps of: deploying and starting a cross-chain system, and initializing the cross-chain system; obtaining system description information, system parameters and operation environment parameters of the cross-chain system, generating test case information, and constructing a test case based on the test case information; a universal adapter interface is requested, and a cross-chain information verification function and a cross-chain transaction atomicity guarantee function test are carried out; and recording an actual result of executing the test case by the cross-chain system, and comparing the actual result with an expected result of the test case to obtain an evaluation result of the cross-chain system. The invention further provides a cross-chain system function evaluation device, a computer readable storage medium and electronic equipment. According to the invention, based on a standardized process framework of parameter configuration, test execution and result processing, different types of block chain drives are developed for different test functions, so that the functions of different cross-chain systems are objectively and fairly evaluated.

The invention discloses a Sybil attack detection method based on machine learning in a block chain, and the method specifically comprises the steps: constructing a fixed-length binary code based on a time behavior sequence of an address, and fusing a Hamming distance, a global frequency difference and a local segmentation frequency difference, designing a customized distance measurement algorithm for measuring address time behavior similarity; an interaction sequence of the address and the block chain protocol is regarded as text data, and saliency features used by the protocol are extracted by adopting a word frequency-inverse document frequency technology; and a multi-stage density clustering model is constructed, and automatic clustering and identification of suspected Sybil addresses are realized. Compared with the prior art, the method has the advantages that the user-defined distance measurement and text feature modeling method is introduced, the accuracy and robustness of Sybil address recognition are effectively improved, the attack implementation difficulty is increased, the defense capability of a block chain system to Sybil attacks is enhanced, a new technical path is provided for on-chain security governance, and the method is worthy of popularization and application. The method has high practical value and wide popularization prospect.

The invention discloses a block processing method, a block chain system and a readable storage medium, and belongs to the technical field of computers. The block processing method in the embodiment of the invention comprises the following steps: after a new block is generated at an accounting node, determining the total verification times required by the new block before being chained; according to the total verification times and a preset selection rule, verification nodes are selected for the new blocks in sequence, and the new blocks are verified through the selected verification nodes; and when the number of times of verification of the new block reaches the total number of times of verification and verification results of the new block are all passed, performing uplink operation on the new block. Therefore, all nodes participating in bookkeeping do not need to verify the new block, so that the block output speed of the block chain is accelerated.

The invention provides a data processing method and device. The data processing method comprises the following steps: acquiring at least one media content; performing hard binding processing according to the at least one media content to obtain first hard binding; and generating a block according to the first hard binding, wherein the block is recorded in a block chain system. According to the application, the diversity of the Non in the PoW process can be increased.

The invention discloses an arbitration-assisted cross-fragment transaction fair verification method. The method is specifically implemented according to the following steps: step 1, initializing a fragment block chain system; step 2, cross-fragment transaction generation of the sender; step 3, the receiver makes a cross-fragment transaction response; step 4, constructing a k-player game mechanism; step 5, carrying out cross-fragment transaction arbitration; according to the method, the atomicity of cross-fragment transaction is realized by using a public verifiable secret sharing algorithm, and the final consistency of transaction verification results is ensured; a dynamic arbitration set design is introduced, and a k-player game mechanism is constructed to assist transaction arbitration, so that a correct and fair cross-fragmentation transaction verification result is realized, and the operation security and robustness of a fragmentation block chain system are improved.

The invention relates to the technical field of block chains, in particular to an assembly line consensus protocol based on inter-fragment cooperation in a block chain system, which realizes distributed cross-fragment verification based on 3PC (3rd Personal Computer) by using submission intention and submission proof, so that the system obtains higher security, and the user experience is improved. The ticket right of the Byzantine node in one fragment at most can be tolerated to exceed one third of the total ticket right of the fragment; the overall security of the fragmentation system is improved through a cross validation mechanism, the same number of nodes can be distributed to more fragments under the condition that the security hypothesis is the same as the traditional non-cooperative consensus protocol, and the expandability of the system is improved; according to the method, data required by cross validation is packaged by using assembly line blocks, so that an aggregation signature generated by each round of element voting can be used as QC of different stages of continuous six blocks, the average submission overhead of each block is reduced to one round of voting, and the additional consensus overhead brought by a cross validation mechanism is counteracted to a certain extent.

The invention provides a method and a device for displaying a music digital collection. A specific embodiment of the method for displaying the digital music collection comprises the steps of obtaining an electronic music score of the digital music collection from a block chain system; analyzing the electronic music score to obtain feature data of the electronic music score; associating the feature data with a preset animation generation module; and when music is played based on the electronic music composition, the animation generation module generates and plays an animation based on the feature data.

A blockchain system according to an embodiment comprises a plurality of peers. Each peer is provided with a control unit and an execution unit. The control unit reads an effective version from a recording unit, and launches the smart contract execution software for the effective version. Upon receiving a first transaction request including data to be subjected to smart contract processing, the execution unit processes the data to be subjected to smart contract processing by executing the smart contract execution software for the effective version, and records, in the blockchain, a first transaction record including the result of processing the data to be subjected to smart contract processing.

According to the consensus processing method in the block chain system, a consensus protocol operated by the block chain system supports election of a unique main node in each round of consensus, and the main node is used for proposing a block corresponding to the current round of consensus to other consensus nodes participating in the consensus; comprising the following steps: receiving a proposal block which is broadcasted by a main node and corresponds to a current consensus; broadcasting the proposal block to a plurality of consensus nodes randomly selected from the block chain system by the main node; iteratively carrying out multiple rounds of random sampling voting on the proposed block with other consensus nodes participating in the consensus; after each round of random sampling voting is finished, determining whether the number of rounds of random sampling voting with the voting result of voting passing reaches a preset threshold value or not; if the number of rounds reaches a preset threshold value, determining that the consensus for the proposed block is passed; and otherwise, continuing to carry out the next round of random sampling voting until the voting result is that the number of rounds of random sampling voting passing voting reaches the threshold value.