17 results about "Fault tolerant algorithms" patented technology

The invention discloses a distributed power transaction method and system capable of protecting identity and data privacy, and relates to the technical field of power transaction, and the method mainly comprises the steps: publishing a power transaction request to an alliance chain platform through an intelligent contract, and broadcasting the power transaction request to all consensus nodes, and verifying legality by using a practical Byzantine fault-tolerant algorithm, writing the power transaction request into a block chain account book, performing decryption, matching and uplink verification signature according to the power transaction request, and executing a transaction according to the signed transaction contract. By implementing the distributed power transaction method and system capable of protecting identity and data privacy, effective protection of identity information and data privacy in the power transaction process can be ensured, and meanwhile, the verifiability and credibility of the transaction are kept.

The invention discloses a distributed cooperative control method and system for cluster temperature controllers, and relates to the technical field of temperature controller control. Comprising the following steps: establishing a temperature control consensus: establishing a temperature controller alliance chain, and adopting a practical Byzantine fault-tolerant algorithm to achieve a temperature control target consensus; sharing a prediction model: based on a federated learning architecture, each node locally trains a temperature prediction model and uploads a model parameter gradient to a cloud server for aggregation updating; global energy consumption optimization: adopting a multi-agent depth deterministic strategy gradient algorithm to carry out minimization optimization on the global energy consumption; and dynamic topology recombination: supporting plug and play of the equipment and automatically recombining the cluster topology according to the state of the equipment. According to the method, the information island problem is solved, sharing and privacy protection of the temperature prediction model are realized, global energy consumption is optimized, cluster temperature control consistency can be improved, energy utilization efficiency can be optimized, user comfort experience can be improved, hundred-level equipment expansion is supported, and complex scene requirements are met.

This invention belongs to the field of fault tolerance in motor systems, and relates to a fault tolerance method for current sensors in motor systems. The method includes: first, establishing an offset coordinate system using different phase currents as the Clarke coordinate transformation base axes; second, obtaining the β-axis fundamental fault-tolerant current least affected by a fault through the offset coordinate system, and then obtaining the α-axis fundamental fault-tolerant current through a second-order generalized integrator; finally, obtaining the final fault-tolerant current after a current sensor fault through a rotating coordinate transformation, and using it as a current loop feedback quantity to achieve fault isolation. This invention uses phase current as the input quantity for the fault-tolerant algorithm, avoiding the addition of extra detection equipment; the fault-tolerant algorithm does not involve motor parameters, and fault tolerance for current sensors can be achieved solely through a fault isolation algorithm designed using phase current. Therefore, this invention provides a more reliable and effective new approach for achieving fault tolerance for current sensors in AC motor systems.

This invention discloses a fault-tolerant control method for suppressing torque ripple in a dual three-phase permanent magnet motor, belonging to the field of multiphase motor control. The method includes: real-time calculation of the controller output, inverter output, and actual motor voltage; real-time calculation of voltage residuals, designing a cooperative voltage compensation form for the fundamental and harmonic planes, and generating a compensation voltage reference value; setting a voltage residual threshold, and dynamically limiting the residual within the threshold range by adjusting the compensation coefficient; and switching a fault-tolerant algorithm to complete fault-tolerant control. This invention maintains stable motor operation without waiting for fault diagnosis and location, providing a good environment for fault diagnosis. Switching to a normal decoupling fault-tolerant algorithm further suppresses torque ripple. This invention is applicable to open-circuit faults in any phase and two phases, without changing the original vector control structure, is easy to integrate, and significantly improves the overall operating performance and reliability of the system under fault transients and fault-tolerant steady states.

The invention discloses a distributed acquisition data consistency processing method, and belongs to the technical field of data acquisition and network management. The distributed acquisition data consistency processing method comprises the following steps: acquiring target data; calculating the priority of the target data to obtain high-priority data, medium-priority data and low-priority data; carrying out data processing on the high-priority data by adopting a practical Byzantine fault-tolerant algorithm to obtain first consistency data; performing data processing on the middle-priority data by adopting an asynchronous replication and periodic compensation strategy to obtain second consistency data; performing master-slave replication consistency and causal consistency processing on the low-priority data to obtain third consistency data; and summarizing the first consistency data, the second consistency data and the third consistency data to obtain consistency data.

This application discloses an artificial intelligence-based ecological slope early warning method and system, specifically relating to the field of geological disaster monitoring and early warning technology. The system receives meteorological forecast data, obtains rainfall warning levels for a preset time period, and dynamically adjusts the sampling frequency and fault-tolerance strategy of the control module based on the meteorological warning levels. Specifically, when the rainfall warning level exceeds a preset threshold, the sampling frequency is automatically increased and an enhanced fault-tolerance algorithm is activated. Simultaneously, the fault-tolerance strategy adaptively upgrades with the warning level. For low-risk situations, simple spatial interpolation is used; for high-risk situations, an enhanced fault-tolerance algorithm constrained by geological homogeneity and even a multi-neighbor node cross-validation mechanism are automatically activated, enabling the system to possess the strongest data acquisition capability and fault-tolerance resilience during the most dangerous periods of heavy rainfall.

The invention discloses a passive fault-tolerant control method for an open-circuit fault of a parallel driving n * 3-phase SPMSM winding. Comprising the following steps: enabling an n * 3-phase motor to be equivalent to n three-phase motor modules, and analyzing the relation between the current of each module under the parallel driving of a single inverter. And then converting the current into a dq coordinate system through coordinate transformation to obtain an expression of the electromagnetic torque of the motor under normal and fault conditions. As a control object is a surface-mounted motor, in order to enable the operation efficiency of the driving system to be optimal, an id = 0 control strategy is adopted. And according to the representation form of the current of each module and the constraint condition that id is equal to 0, the reason that the motor can realize passive fault-tolerant control when a winding open-circuit fault occurs under the driving mode is analyzed. According to the method, a complex fault diagnosis and fault-tolerant algorithm module is omitted, so that the problems of misdiagnosis and delayed activation of a fault-tolerant algorithm are fundamentally solved, the software complexity is reduced, and the reliability of the system is improved.

The invention discloses an electrically operated valve wireless fault-tolerant controller and a control method, a fault-tolerant algorithm is integrated in the controller, so that the controller can intelligently judge and output correct control signals, misoperation is effectively avoided, the accuracy and reliability of electrically operated valve control are improved, and transmission and control of oil well alternate metering signals are realized. The field test electric valve can be executed according to operation, and repeated operation instructions in a short time can be selectively executed once. And compared with a traditional control cable wired input signal, the method has the characteristics of good stability and low cost for refusing execution of mutually contradictory instructions in a short time.

The application relates to an echo state network-based adaptive fault-tolerant control method for a non-strict repetitive system, which comprises the following steps: constructing a nonlinear dynamic system with an actuator fault, and setting a hypothesis condition; introducing a desired error trajectory, constructing a dynamic error equation, and defining a nonlinear function in the equation; approximating the nonlinear function by using an echo state network; proposing an adaptive iterative learning fault-tolerant algorithm, combining a barrier Lyapunov function, deducing a control input, constructing a controller, and filtering redundant batches; and constructing a barrier composite energy function to verify the stability and convergence of the designed adaptive iterative learning fault-tolerant algorithm. The nonlinear dynamic system constructed by the application can still realize effective tracking and control of the system state to the desired trajectory under the conditions that the actuator has additive or multiplicative faults, the system state is limited, and external disturbances exist.

This invention seeks protection for a consensus method for vehicle-to-everything (V2X) networks based on a two-layer blockchain, belonging to the field of V2X security technology. It includes: S1, constructing a two-layer architecture of a bottom-layer sharded chain and a top-layer main chain; S2, selecting vehicle nodes participating in the sharded chain consensus through a multi-dimensional consensus node election algorithm; S3, determining the sharded chain consensus master node using a hidden master node election mechanism; S4, completing consensus within the sharded chains using a practical Byzantine fault-tolerant algorithm; S5, the main chain adopts a directed acyclic graph consensus mechanism and introduces a dynamic verification quantity calculation model. The advantages of this invention are: (1) The multi-dimensional election algorithm selects high-quality nodes, improving consensus stability and security; (2) The layered architecture divides the V2X network into parallel consensus domains, with the bottom layer handling local consensus in parallel to reduce communication complexity, and the top layer coordinating cross-shard transactions to improve scalability; (3) The dynamic verification quantity calculation model adaptively adjusts the verification quantity according to network load, significantly improving system throughput.

The invention discloses a quantum encryption vehicle-mounted radar data security sharing network based on a block chain architecture, and belongs to the technical field of vehicle-mounted radar data security sharing. The system comprises a data acquisition module, a data preprocessing module, a quantum encryption module, a block chain storage module, an intelligent contract module, a data verification module, a privacy protection module, a network communication module, a consensus mechanism module and a data retrieval module. The quantum encryption module adopts a BB84 protocol to generate a 256-bit quantum key, an AES-256-GCM algorithm is used for encryption, and encrypted data is coded and stored by adopting base64; the block chain storage module adopts a workload proving mechanism and comprises Merkle root calculation and data hash verification; the intelligent contract module comprises a data sharing contract, an access control contract, a transaction settlement contract and a reputation evaluation contract, and the data is automatically registered to the data sharing contract after being stored; the data verification module adopts a comprehensive verification mechanism including hash verification, digital signature verification, timestamp verification and source verification; the privacy protection module adopts geographic desensitization, differential privacy and homomorphic encryption technologies; the consensus mechanism module adopts an improved practical Byzantine fault-tolerant algorithm and comprises three stages of proposal, preparation and submission. According to the invention, the problems of safety, integrity, trust, privacy and performance of vehicle-mounted radar data sharing in the prior art are solved, and a reliable data sharing infrastructure is provided for intelligent traffic and automatic driving.

The invention discloses a cross-border commodity management system and management method based on a dynamic two-dimensional code, and the system comprises a two-dimensional code generation module which is used for configuring a life cycle parameter and an access threshold value, and outputting metadata to a physical identification module; the physical identification module is used for integrating an anti-tamper technology and generating a unique physical binding code; the code scanning analysis module is internally provided with a damage fault-tolerant algorithm and returns content after the permission module is called for verification; the client interaction module supports GDPR compliance data acquisition; the data analysis module is used for deploying an AI model to realize content A / B testing and abnormal behavior monitoring; and the authority module is used for automatically distinguishing user identity levels through the IP / behavior data. The data analysis module detects a high-frequency code scanning behavior in real time and is linked with the anti-counterfeiting traceability module for processing. According to the scheme, the limitation of a static two-dimensional code function is broken through, and a'dynamic generation-behavior feedback-AI optimization 'closed loop is constructed to solve three major problems of network instability, policy compliance and difficulty in anti-counterfeiting tracing in a cross-border scene; moreover, the after-sales cost is reduced, the marketing conversion rate is improved, meanwhile, counterfeit disputes are reduced, and the complex requirements of cross-border commodity sales tracking and customer interaction management are met.

The invention belongs to the field of motor control, and discloses a switched reluctance motor turn-to-turn short circuit fault-tolerant control method based on current reconstruction compensation. The method specifically comprises the steps of firstly detecting a turn-to-turn short circuit fault, then judging a conduction interval where a motor is located according to the position of a rotor, then reconstructing expected current of each phase after the fault, then comparing the reconstructed expected current with actual current, generating a fault-tolerant control signal, and jointly deciding with an output signal of a conventional control module. And a final control signal is generated to drive the power converter. According to the method, a traditional'fault phase isolation 'strategy is abandoned, fault-tolerant control is carried out in a software mode, additional hardware transformation is not needed, and real-time performance and economical efficiency are both considered. Simulation results show that the fault-tolerant algorithm can reduce phase current amplitude and torque ripple, and provides a reliable solution for fault-tolerant control of turn-to-turn short circuit faults of the switched reluctance motor.

The application discloses an intelligent glasses and watch cooperative identity verification system and method, belongs to the technical field of intelligent wearable devices, and aims to solve the problems of insufficient identity verification security and reliability. Technical solution points are as follows: the glasses and the intelligent watch are connected through a Bluetooth high-speed communication protocol, the glasses collect user pupil images and extract pupil feature vectors V p , the intelligent watch collects user voiceprint information and extracts voiceprint feature vectors V S ; the watch calculates V S the similarity of the voiceprint feature vectors with pre-stored voiceprint feature vectors V s0 , V p the similarity of the pupil feature vectors with pre-stored pupil feature vectors V p0 , if the similarities are not lower than a voiceprint similarity threshold value T S and a pupil similarity threshold value T p respectively, a verification pass signal is generated, and then the signal is uploaded to a blockchain for consensus verification through a practical Byzantine fault tolerance algorithm. The application is mainly used for identity verification of intelligent wearable devices.

The application discloses a cluster type temperature controller distributed collaborative control method and system, and relates to the technical field of temperature controller control. The method comprises the following steps: establishing temperature control consensus, constructing a temperature controller alliance chain, and achieving temperature control target consensus by using a practical Byzantine fault tolerance algorithm; sharing a prediction model, training a temperature prediction model locally based on a federal learning architecture, and uploading model parameter gradients to a cloud server for aggregation and updating; globally optimizing energy consumption, minimizing and optimizing global energy consumption by using a multi-agent deep deterministic policy gradient algorithm; and dynamically reorganizing a topology, supporting plug and play of equipment, and automatically reorganizing a cluster topology according to equipment states. The application solves the information island problem, realizes sharing and privacy protection of the temperature prediction model, and optimizes global energy consumption, so that the cluster temperature control consistency can be improved, energy utilization efficiency can be optimized, user comfort experience can be improved, hundreds of equipment extensions can be supported, and complex scene requirements can be met.

The invention discloses a dynamic hostile attack-oriented multi-dimensional multi-agent system elastic cooperative control method, which relates to the technical field of multi-agent, and comprises the following steps of: constructing a communication relationship of a heterogeneous multi-agent system by utilizing a graph theory, and defining r-robustness of the heterogeneous multi-agent system to describe fault-tolerant capability; a discrete kinetic model of the matrix scale heterogeneous multi-autologous system is constructed, the kinetic model comprises a first-order autologous body and a second-order autologous body, and control input for the heterogeneous multi-autologous system is designed; designing a fault-tolerant algorithm based on a dynamic security core, collecting scale position information of neighbors in each round of information updating by each normal self-body, constructing the dynamic security core, calculating an auxiliary point based on the dynamic security core, and designing a controller based on the auxiliary point; and based on the upper limit of the number of dynamic malicious nodes in each round and the robustness parameter of the heterogeneous multi-agent system, calculating the value range of the sampling period and the control gain. According to the invention, the overall robustness and cooperative control performance of the system are enhanced.

The invention relates to the technical field of power system relay protection, in particular to a block chain-based relay protection setting value management method, system and device and a medium. Performing relay protection fixed value setting management user registration, authenticating validity of user identity information, setting access control authority, and generating a private key, a public key and an address of each user by adopting an elliptic curve encryption algorithm; the compilation person completes constant value compilation and signs the checker, after the checker completes checking and signing in sequence, the signing and issuing person completes final checking and signing and issues a constant value list, and an improved practical Byzantine fault-tolerant algorithm is adopted to achieve linked signing and issuing of constant value information; and the constant value executor writes the relay protection constant value list into the off-line electrical equipment, establishes an intelligent contract account in the relay protection constant value setting management block, and completes execution of constant value list self-checking to realize electrical equipment constant value information uplink. Decentralized identity management and data tampering prevention are achieved through the block chain technology, and the safety and traceability of the constant value circulation process are ensured through a multiple digital signature mechanism.