112 results about "State consistency" patented technology

The invention discloses a campus intelligent terminal equipment management method and system based on multi-source state synchronization, and relates to the technical field of intelligent terminals. The campus intelligent terminal equipment management method and system based on multi-source state synchronization comprises the following steps: S1, a terminal cooperatively collects a context state data set, and normalization processing is carried out; s2, constructing a migration mirror image synchronization state data set, and carrying out migration handover of stage switching and playback; s3, constructing a pulse interference detection model, and performing interference window suppression and online correction; and S4, constructing a dual-time reference transaction consistency verification and migration submission determination closed loop, and carrying out linkage rollback and governance. According to the method, the state consistency and the operation stability in the cross-node migration process of the campus intelligent terminal are effectively improved, and the problem of pulse interference in equipment state migration is solved.

The invention relates to the technical field of distributed computing, and discloses a heavy truck charging load scheduling-oriented distributed energy intelligent matching method, which comprises the following steps of: establishing a charging service computing power mapping table at a scheduling node; maintaining a shadow counter in a local memory, extracting a pre-estimated computing power consumption value according to an event type and accumulating the pre-estimated computing power consumption value to the shadow counter, and executing linear numerical deduction on the shadow counter according to a reference logic subtraction rate so as to simulate a scheduling data throughput evolution process; adjusting a linear deduction rate parameter according to the deviation between the state feedback data and the numerical value of the shadow counter; and distributing the charging matching task to a charging station edge computing node of which the shadow counter value does not exceed a preset logic saturation threshold value. According to the invention, through an open-loop estimation and closed-loop calibration mechanism of a local logic state, an instantaneous congestion risk caused by physical feedback lag is eliminated; and logic state consistency and self-adaptive distribution of the whole network computing power resources are realized.

The invention relates to the technical field of electrical parameter measurement and power distribution automation monitoring, and discloses a method for verifying the consistency of the opening and closing states of a measurement switch. The method is used for solving the problem that a traditional method lacks an automatic identification and explainable checking mechanism for an electric parameter evidence validity condition. The method comprises the following steps: firstly, obtaining a measurement frame stream, an event frame stream and a topology configuration snapshot, and establishing and locking a parameter version verification session; voltage, current, zero-sequence measurement and action event time marks are aligned at the session time window, and the sampling quality grade, the event quality grade and missing information are solidified; obtaining an electric parameter evidence boundary and an access grade according to the measurement point position, the parallel shunting, the load type and the disturbance section; and checking the causal time sequence of the key event, processing the contradiction by judging the priority, outputting a structured verification record, writing back a parameter version according to an amplitude limiting rule, and completing the verification of the consistency of the switching-on and switching-off states under the complex working condition.

The invention relates to the technical field of power distribution terminals, and discloses a power distribution terminal automatic joint debugging function integrity and reliability test system, which comprises a co-simulation module for performing closed-loop coupling on a virtual power grid and a tested terminal through deterministic time control and generating a reproducible working condition; the scene arrangement module is used for realizing automatic switching and rollback of cross-domain scenes based on transactional snapshots; and the communication module is used for executing a consistency test on multiple protocols and injecting delay jitter, packet loss and clock drift. The functional integrity and reliability test system for the automatic joint debugging of the power distribution terminal aims to solve the problems of lack of deterministic time control of cross-domain cooperation and insufficient guarantee of state consistency in a digital twin test method. The problems that a test result cannot be reproduced, crosstalk misjudgment is caused by state non-atomicity consistency during multi-scene switching, and faults are difficult to reproduce due to lack of time determinacy replay capability are solved.

The invention provides a vehicle system upgrading method and device, computer equipment and a storage medium, and the method comprises the steps: creating a block chain block containing domain control upgrading information in response to a domain control upgrading instruction, and determining a to-be-upgraded domain control node; carrying out upgrading operation on the domain control node based on the domain control upgrading instruction to obtain an upgraded state parameter of the domain control node, and writing the upgraded state parameter into a block chain block; and verifying the upgraded state parameter based on the block chain block, if the upgraded state parameter of any domain control node is abnormal, performing version rollback on the domain control node, and writing a version rollback result into the block chain block. Based on the scheme, the state consistency, safety and traceability of the upgrading process of the multi-domain controller of the automatic driving vehicle are ensured, an automatic disaster recovery and rollback mechanism is provided, and the reliability and safety of the system are remarkably improved.

The invention provides a cross-chain payment state conflict solution method based on EMPT, relates to the field of financial cross-chain payment, and proposes that a cross-chain payment identifier cpID is used as a main index key of a constructed EMPT structure, the EMPT is used for managing all related states of the same cross-chain transaction and organizing the related states into a state sequence, legality verification is carried out on the states before the states are inserted, and the state sequence is stored in a database; and according to the cpID of the current state, finding a state sequence corresponding to the cpID to carry out conflict detection. The states are classified into a legal state, a recoverable error state and an unrecoverable error state, and are respectively stored in a correct state domain and an error state domain in the EMPT. In addition, the invention provides a node hash comparison synchronization strategy to ensure that the system can still efficiently achieve state consistency in a multi-chain asynchronous environment. Compared with the prior art, the method provided by the invention has stronger state tracking capability, conflict tolerance capability and consistency guarantee capability, and is suitable for cross-chain payment scenes such as financial payment and Internet of Things settlement under multi-chain collaboration.

The invention provides a multi-type storage cluster dynamic nano-management method based on a cloud platform, and belongs to the technical field of cloud platform storage resource management, a storage pool is used as a minimum management unit, a configuration center provides a unified nano-management entrance and is associated with a platform initialization process, and initialization of standardized parameters such as a storage cluster IP, an account and the like is automatically completed; after management, block storage, file storage or object storage types and exclusive parameters thereof are configured for the storage pool according to business requirements, and available storage pools are screened according to binding relations when storage services are created, so that resource mismatching is avoided. Bidirectional synchronization is carried out between the operation and maintenance resource management module and the storage module through a full life cycle by using an equipment SN number, so that state consistency and traceability are realized; expansion of newly added storage pools, unbinding of the storage pools and resource recovery are supported, and the resource utilization rate and the operation and maintenance efficiency are improved.

The invention discloses an automatic security vulnerability detection method and system for rail transit signal system equipment, and the method comprises the steps: carrying out the unpacking and analysis of firmware of to-be-detected rail transit signal system equipment, so as to recognize a target file in the firmware; performing security attribute verification on the target file based on a preset rail transit security attribute rule base, including performing state consistency verification on a plurality of associated parameters in the control logic to identify security vulnerabilities caused by state conflicts; performing time sequence attribute verification on the time sequence sensitive security operation to identify security vulnerabilities caused by violation of the real-time constraint; and performing risk assessment and outputting a vulnerability detection result based on a security attribute verification result. Compared with the prior art, the method has the advantages that the formal rail transit safety attribute rule base is constructed, state consistency verification and time sequence attribute verification are carried out on the control logic in the equipment firmware at the same time, and automatic mining and risk assessment of deep business logic vulnerabilities are achieved.

The invention belongs to the technical field of data processing, and discloses a data batch processing method, device and equipment and a storage medium, and the batch processing method comprises the steps: obtaining all tasks classified into a preset target category, and forming a target task set; setting target identification information corresponding to the target category, and associating the target identification information to each task in the target task set; submitting each task in the target task set to a thread pool; for a target task in the target task set, after the target task is successfully submitted to the thread pool, obtaining a task tracking object corresponding to the target task; and when the execution state of the target task determined according to the task tracking object is execution abnormity, performing rollback on each task in all the target task sets corresponding to the target identification information. The method can be applied to business management systems of financial science and technology, medical health and the like, and solves the technical problem that high batch task processing efficiency and state consistency cannot be ensured at the same time.

The invention provides a Xiaohua chicken traceability method and system based on a block chain, and the method comprises the steps: generating a root public parameter and a root verification key through credible setting, generating an independent sub-proof key for each node from breeding to selling through a hierarchical key derivation function based on a traceability hierarchical structure, encoding the acquired multi-modal traceability data into private input of the zero-knowledge proof circuit; selecting a corresponding rule circuit from a predefined circuit library, and splitting a data source party; each data party generates a zero-knowledge proof fragment by using a sub-proof key and a blinding factor, and after a main node verifies public state consistency and blinding factor constraint through a recursive aggregation algorithm, an aggregation proof is generated; the common input comprises a new state commitment generated by a cryptographic accumulator, and continuous updating of the state is realized; and verifying the aggregation certification by using the root verification key, and storing the certification abstract passing the verification in the block chain. According to the invention, cross-link data privacy protection and verifiable chain type tracing can be realized.

The invention belongs to the technical field of artificial intelligence, and provides a digital twinning construction system and method based on artificial intelligence, and the method comprises the steps: constructing a digital twinning model of physical equipment, collecting the original sensor data of the physical equipment, inputting the original sensor data into the digital twinning model, and outputting the virtual state parameters of the physical equipment; on the basis of the virtual state parameters of the physical equipment and in combination with the actual operation parameters of the physical equipment, carrying out virtual and real arbitration on the constructed digital twin model, and judging the consistency of the virtual and real states of the digital twin model and the physical equipment; if the consistency of the virtual state and the real state is low, the drifting degree of the original sensor data is assessed, the problem of model failure caused by sensor drifting is effectively solved, and the accuracy of data correction, the continuity of model operation and the safety of service application are considered; and the stability and the practical value of the digital twin technology in key scenes such as industrial equipment monitoring and fault early warning are further improved.

The invention relates to the technical field of Internet of Things communication, discloses an Internet of Things multi-Android client state synchronization method, and solves the problems of poor state consistency, high back-end dependence, large delay and insufficient compatibility in the prior art. According to the scheme, the method comprises the steps that after a client completes initialization, MQTT connection with a rear end is established, an MQTT state message pushed by the rear end is monitored, after the message is received, equipment state information is obtained through analysis, local state cache and a UI interface are updated, meanwhile, the client serves as a distribution node, a UDP synchronization message containing the equipment state and the IP of the distribution node is established, and the UDP synchronization message is sent to the client. The UDP synchronization message is broadcasted to the local area network, other clients in the local area network receive the UDP synchronization message and then verify whether the distribution node IP is the client in the local area network, if the verification is passed, the message is analyzed, the state updating timestamp and the local cache timestamp are compared, and the local state cache and the UI interface are updated only when the state updating timestamp is larger.

The invention provides a PDE multi-agent cooperative control method and device based on dynamic event triggering, and relates to the technical field of automatic control. The method comprises the following steps: modeling a multi-agent system, and obtaining a collaborative consistency target of the multi-agent system to obtain a state consistency error; defining a control target of the multi-agent system to obtain a boundary control protocol; and according to a modeling result and a boundary control protocol, obtaining a dynamic event triggering mechanism of any agent and an updating rate of dynamic auxiliary parameters, and realizing multi-agent collaborative formation control. According to the method, the DETM and the PDE model are deeply fused, the system state error is fused into the DETM mechanism, and the inherent contradiction between resource consumption and formation control precision in the existing method is effectively overcome, so that the system communication and calculation overhead is remarkably reduced, and the accuracy and the overall stability of the multi-agent system formation are ensured.

Embodiments of the present application provide a service switching method, an electronic device, a storage medium and a program product. The method comprises: marking a first logical service as an exit state, and intercepting a new task request; initializing a second logical service; performing type division processing on resources corresponding to the first logical service through the second logical service to obtain no-overwrite resources and overwrite resources; and performing differentiated resource consistency processing on the no-overwrite resources and the overwrite resources through the second logical service, and receiving the new task request, which can shorten the logical service instance switching waiting time, reduce the resource occupation of the old node in the exit phase, improve the overall resource utilization of the system, and maintain resource state consistency and business continuity in the high-concurrency write, complex metadata adjustment and shared resource concurrent access scenarios.

The application discloses a man-machine cooperation task scheduling, queue management and dynamic correction method and system, the method constructs task step dependency relationship and execution attribute information, generates an initial scheduling result, and writes the result into a unified task queue as a single fact source in an execution phase; in the task execution process, task state and time information are updated based on step result confirmation information, and dynamic timing correction is performed on subsequent to-be-executed tasks; when execution deviation meets a preset condition, completed steps and in-flight steps are locked, and the remaining tasks are rescheduled. The application is suitable for a task scene with man-machine heterogeneous execution and execution uncertainty, such as a laboratory, generates an initial scheduling result, dynamically corrects subsequent tasks after step result confirmation, and reschedules the remaining tasks, forms a complete execution closed loop, and solves the problems that the prior art lacks unified execution state management, and it is difficult to maintain task timing continuity and state consistency after execution deviation.

The invention relates to the technical field of industrial internet-of-things automatic control, and discloses an actuator internet-of-things multi-protocol adaptation system and method.The method comprises the steps that a protocol module constructs a state machine model for each protocol adapter, cross-protocol state collaboration and abnormal event release are achieved through tense logic rule verification, and a resource module receives abnormal events and sends the abnormal events to a server; the method comprises the following steps: dynamically updating a global resource constraint graph, analyzing an optimal resource reallocation scheme and an atomic task sequence, deconstructing the task sequence into a pi-calculation concurrent process network by applying a reconstruction module, recombining the process network and mapping the recombined process network into a cross-protocol instruction set to drive an executor, and finally, executing the Pi-calculation concurrent process network. Full-link adaptation from protocol layer state consistency guarantee and resource layer dynamic optimization scheduling to application layer process flexible reconstruction is realized, and the reliability and response efficiency of a multi-protocol actuator system in a complex industrial environment are improved.

The invention relates to the technical field of data transmission, and particularly provides a streaming Token double-path transmission method, system and device and a storage medium, and the method comprises the steps: responding to a streaming request, completing the initialization of a system and a session, building a bypass channel from a model to a client, and creating a session context in a control flow engine; identifying the type of each Token generated by the model, and shunting according to the type: data Token routing to a bypass channel and control Token routing to a control flow path processed by a control flow engine; data bypass transmission and control flow service processing are executed in parallel, and the states of the data bypass transmission and the control flow service processing are ensured to be consistent through a state synchronization mechanism; and the dual-path operation state is continuously monitored, and dynamic path adjustment or abnormity recovery is carried out when abnormity is detected. According to the method, the data flow and the control flow are decoupled, so that the transmission delay of the streaming Token is remarkably reduced while the state consistency is ensured.

The application provides a data access security verification method, comprising: obtaining multi-dimensional feature data of an access request, performing cleaning and formatting processing on the feature data to obtain a standardized feature data set; if an abnormal pattern is detected, marking as a suspected fake request record; for the suspected fake request record, collecting state information of each node in the propagation path to obtain a state information set; according to the state information set, analyzing the state consistency of the suspected fake request record at each node to determine whether there is a suspicion of a fake behavior; if it is determined that there is a suspicion of a fake behavior, generating a corresponding abnormal report; according to the abnormal report, determining the specific node position where the abnormality occurs, obtaining the propagation trajectory data of the related node, and generating a trajectory log file; and according to the final detection report, updating a feature database and optimizing the classification model.

The DoS attack strategy making method based on the multilayer cut points is provided for consistency control of the multi-agent system, and the state consistency of the multi-agent system is effectively influenced under the condition that it is guaranteed that the attacker consumes relatively little energy. The method comprises the steps that a multi-agent system consistency model and a DoS attack model are established, an objective function is obtained by taking energy consumption of an attacker and a system consistency error as two indexes, multi-layer cut points are used for replacing an attack action space to improve the optimization efficiency of the objective function, and an attack strategy is obtained by optimizing the objective function. The attack research essence is to guarantee the improvement of the system security performance, and the method provided by the invention can be used as a link for testing the system security to help discover the defects in the aspect of system defense.

The application discloses a campus intelligent terminal equipment management method and system based on multi-source state synchronization, and relates to the technical field of intelligent terminals.The campus intelligent terminal equipment management method and system based on multi-source state synchronization comprises the following steps:S1, terminal cooperative collection of context state data sets is carried out, and normalization processing is carried out;S2, a migration image synchronization state data set is constructed, and stage switching and playback migration handover are carried out;S3, a pulse interference detection model is constructed, and interference window suppression and online correction are carried out;S4, a double-time reference transaction consistency check and migration submission judgment closed loop is constructed, and linkage rollback and management are carried out.The application effectively improves the state consistency and operation stability in the cross-node migration process of the campus intelligent terminal, and solves the problem of the pulse interference phenomenon in the equipment state migration.

The application discloses a bus duct intelligent online monitoring method and system, relates to the technical field of power equipment operation monitoring, and comprises the following steps: S1, constructing a basic representation set of bus duct operation states; S2, performing state correlation mapping by using the operation state representation set; S3, performing state consistency constraint determination by using a bus duct state association structure; S4, performing state evolution continuity arrangement by using a state consistency determination result; and S5, performing abnormal evolution identification by using an evolvable state sequence. The application sets a state consistency constraint determination mechanism based on the bus duct state association structure, uses a proportional coefficient to describe an expected cooperative change relationship between associated states, generates a structured state consistency determination result, can identify abnormal deviation between the associated states without relying on a single parameter overrun, and thus improves the foresight and effectiveness of bus duct operation abnormality identification.

The application provides a state compression consistent hashing method supporting arbitrary removal of an evidence storage node, comprising: constructing a state compression layer for recording a removal state of the storage node; when a storage node is removed, updating the removal state through the state compression layer with constant time complexity; based on the removal state recorded by the state compression layer, addressing a data key, and based on a stateless consistent hashing engine, performing primary mapping on the data key to obtain a first node number; when the storage node corresponding to the first node number is in a working state, outputting the first node number as an addressing result; or when the storage node corresponding to the first node number is in a removal state, triggering secondary mapping, recalculating the first node number in a current working storage node set, and outputting a second node number as an addressing result. The method realizes high efficient search performance and low memory overhead while supporting arbitrary random removal of the storage node.

The invention relates to the technical field of front-end development, and discloses a form core engine system based on model driving and life cycle management, which comprises the following steps of: firstly, analyzing a form structure and a rule through a model configuration analysis module to establish field mapping and a life cycle registry; and a dependency graph and a consumer registry are generated by using a dependency building module. On the basis, the service logic dynamic mounting module injects specific logic into the field model according to the service identifier to realize decoupling; and when user interaction triggers change, the state change propagation module cooperates with the cascade update module to automatically trigger cascade calculation and update of consumer fields based on the dependency graph, and finally a form state snapshot is output. In this way, thorough separation of core business logic and UI display is effectively achieved, and automatic management and state consistency of data flow in a complex form scene are guaranteed.

The present application relates to the technical field of intelligent operation and maintenance of traction power supply system, in particular to a traction substation equipment detection and state consistency analysis method and system, comprising: acquiring an inspection image of the equipment to be detected, calculating a dense displacement field through a reference base map to perform non-rigid resampling on the inspection image to obtain a registration image; constructing a multi-scale image pyramid and mapping the registration image into a normalized feature tensor; for each spatial position in the normalized feature tensor, retrieving and aggregating the nearest neighbor sample features in a dynamic feature retrieval library to calculate a generated feature distance tensor graph; combining the global mean value and local connected domain characteristics of the feature distance tensor graph to determine the macroscopic switch state and microscopic defect position of the equipment to be detected, and complete the state consistency analysis of the equipment to be detected. Based on the present application, the intelligent level, stability and practical value of the traction substation auxiliary monitoring system can be greatly improved.

The invention belongs to the technical field of power system automation, and particularly relates to an asset ledger topology correction and graph model library integration method based on SCCD-plus model driving. Fusing the standard SCD file, the equipment operation configuration data, the network interconnection information, the planning topology information, the actual topology information and the network parameters to construct an SCCD-plus model; after the asset ledger is imported, a corrected asset ledger list is obtained through a correction mechanism of field-level comparison and equipment-level check, and the model is updated; generating a planning topology based on the model, discovering and generating an actual topology, and comparing and correcting the planning topology and the actual topology to obtain a precise network topology; and finally, outputting the corrected asset ledger list and the corrected network topology, and providing data support for situation awareness platform graph model library integration. In addition, correction suggestions can be automatically generated, one-key updating of a graph model database or output of a correction list is supported, the machine account and the field state can be consistent, and the topology restoration precision is remarkably improved.

The invention discloses a bill processing method and system based on a price comparison model and edge calculation, and belongs to the technical field of computers, and the method comprises the steps: 1, generating a composite identifier containing latitude, longitude, timestamps and bill feature point abstracts; 2, locally constructing a one-way state propulsion cache based on the composite identifier, binding the bill original data with the composite identifier, and marking the bill original data and the composite identifier as a pending state; step 3, packaging the pending state and the composite identifier into a data packet, generating an integrity check code based on the composite identifier, and storing an association pointer of the integrity check code and the data packet; 4, constructing a distributed state mirror image table by using physical coordinates and timestamps in the composite identifier, and storing state mirror image records through spatio-temporal indexes; according to the invention, bill data synchronization and state consistency under an unreliable network can be realized, loss, repeated processing, edge end efficient operation and generation of a reliable approximate result during network disconnection are avoided, and the processing real-time performance is improved.

The invention discloses an integrated production operation platform based on digital and intelligent twinning, relates to the technical field of production operation, and establishes a digital and intelligent twinning operation model of a physical execution layer and a virtual mapping layer by constructing state characteristic parameters of operation nodes and fusing multi-source time sequence data. A state consistency constraint function is introduced to represent the synchronization deviation between the two layers; on the basis, performing real-time iterative calculation on the target job execution model to obtain a state deviation value of each job node, and checking state consistency based on signal sequential logic and a robust online monitoring algorithm to generate an abnormal state judgment result; further executing instruction delay, path re-planning or state rollback according to the exception type to realize dynamic correction and closed-loop control of the operation process; according to the invention, the accuracy of abnormity identification and the timeliness of processing in complex production operation can be effectively improved, and the stability and the safety of overall operation of the system are enhanced.

The invention discloses an automatic toughness verification system and method for a cloud native system. The system is composed of an intelligent scene management module, a compilation period fault injection actuator, a semantic perception integrated interface, a four-dimensional verification and evaluation engine and a panoramic visualization and continuous optimization module. According to the method, a semantic test plan is generated through a structured service fault scene library, fault logic and atomic task identification are bound in a deterministic mode through condition compiling in the construction stage, and a special test program is generated; a preset fault is triggered during business execution, function correctness, recovery compliance, state consistency and performance influence four-dimensional verification is carried out in parallel, an aggregation result is generated to generate a score quantitative evaluation toughness index, and a high-value test scene is intelligently recommended based on a coverage rate to form a closed loop. According to the method, fault injection and business semantics are accurately associated, binary zero test code residues are produced, the verification depth and efficiency are improved by one order of magnitude, and the method is suitable for high-compliance scenes such as finance and AI training.

The embodiment of the application provides a kind of container time-sensitive network centralized configurationer multi-dimensional fault perception and millisecond level switching method and electronic equipment, it is related to industrial network technical field, the method comprises: deployment multi-dimensional health perception engine, periodically detect whether fault occurs, wherein the fault includes: GCL service conflict, gPTP clock offset, scheduling calculation timeout;When detecting fault for N consecutive times, trigger main CNC container self-destruction and activate spare CNC container, N is the integer greater than 1;Spare CNC container synchronizes hierarchical hot backup state, including: synchronization flow table operation log, synchronization topology incremental snapshot and synchronization scheduling intermediate state memory mirror;Atomic switching instruction is sent to switch through hardware acceleration channel, and GCL millisecond level effect is realized.The technical scheme of the application, by using the processing logic of service state perception+ hierarchical hot backup+ hardware acceleration switching, guarantees the service state consistency, solves the problem of high delay.

The invention relates to the technical field of energy storage regulation and control, in particular to a compound energy storage system regulation and control operation method and system considering energy rebalance. Obtaining a plurality of state parameter time sequences of each energy storage unit in the composite energy storage system, an instruction execution life cycle and power grid electric power parameter time sequence data when the instruction is successfully executed; the state parameter time sequence data of the energy storage unit is compared with expected comparison data to analyze the difference, a state consistency index is obtained, and the actual and ideal state deviation can be quantified; analyzing response delay based on the instruction execution life cycle data, and determining an instruction execution stability index of the energy storage unit in combination with a power grid power parameter discrete fluctuation state when the instruction is executed; the state consistency index and the instruction execution stability index are fused to determine the operation stability index, the index comprehensively reflects the comprehensive operation state of the energy storage unit, fine regulation and control are facilitated, the advantages of different energy storage units are brought into play, and the overall performance and the operation efficiency of the system are improved.