700 results about "Rollback" patented technology

The invention relates to the technical field of application state diagnosis, in particular to an application state dynamic diagnosis and automatic repair method and system.The method comprises the steps that multi-source heterogeneous logs are collected and standardized in real time, key fields are extracted, context information is injected, and structured log data are generated; inputting the structured log data into a dynamic anomaly detection model, constructing a dual-path detection mechanism based on LSTM time sequence analysis and a graph neural network, identifying an abnormal mode and positioning a fault root cause; according to the output of the anomaly detection model, a repair action is triggered in a grading manner through an intelligent repair strategy engine; in the repairing process, system state changes are stored and recorded through a pre-writing type redundancy log, automatic rollback during abnormity is achieved on the basis of check point information, and data consistency and system stability are guaranteed. The problem of service interruption or data inconsistency possibly caused by traditional automatic repair is avoided, and the reliability of automatic operation and maintenance is improved.

The invention relates to the technical field of base frame operation and maintenance, can be applied to business scenes such as financial science and technology and medical health, and discloses a context object-driven patch processing method, device, equipment and medium, and the method comprises the steps: extracting an equipment attribute identifier, an operation state identifier and a routing path identifier from an operation environment of target equipment to generate a context object, creating a patch definition, verifying the patch definition in a security sandbox, submitting and approving the patch definition to form a patch version identifier, configuring an environment isolation condition in combination with an effective range, issuing a patch execution instruction carrying the patch version identifier, the environment isolation condition and a hook definition, triggering patch script application repair logic, and calling a cache cleaning tool to process a resource cache. And collecting logs and indexes to generate a monitoring record, and executing rollback or off-shelf operation based on the monitoring record to finish the patch task. Through combination of dynamic patch definition, instruction issuing and version management, safe distribution of front-end patches is realized, and the stability and maintainability of the system are improved.

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 discloses a manufacturing task autonomous negotiation and execution method based on a large language model agent, and the method comprises the steps: constructing a production scheduling agent, an equipment management agent, a material distribution agent and a quality control agent, analyzing a natural language task instruction through the production scheduling agent, and decomposing the natural language task instruction into subtasks; each agent calculates a utility value based on the load rate, the resource matching degree, the estimated completion time and the historical success rate, and performs structured negotiation to achieve a task allocation consensus; a prediction-check-rollback architecture is adopted to generate an action instruction sequence, the sequence is compiled into a time Petri network transition sequence, and reachability verification is carried out based on hard security constraints; production environment data is collected in real time to trigger anomaly detection and re-negotiation, and a formalized security verification and causal anti-factual reasoning parameter updating mechanism is introduced. According to the method, unstructured instruction understanding, autonomous task planning, multi-agent collaborative decision and closed-loop optimization are realized, and the problems of real-time performance, safety and interpretability of a large language model in manufacturing control are solved.

The invention discloses a construction site-oriented multi-mode inspection data intelligent analysis and closed-loop management system, and belongs to the technical field of building construction management. The system comprises a multi-modal data acquisition module, a fusion and feature extraction module, an intelligent analysis module, a decision distribution module and a closed loop verification module. The system performs space-time alignment on the collected visual, sensing and positioning heterogeneous data, and generates unified representation by using cross-modal attention fusion; modal contradictions are eliminated through joint reasoning, risks are evaluated, and a disposal task is automatically generated; after the task is completed, a data rechecking process is automatically started, the improvement degree is calculated by comparing the data before and after rectification so as to verify the effect, and automatic rollback is performed if the result is unqualified. The problem of heterogeneous data integration is effectively solved, a whole-process closed loop from hidden danger recognition to automatic verification is realized, and the risk response speed and management efficiency of a construction site are remarkably improved.

The invention discloses a risk control strategy-based decision engine and method, and relates to the technical field of financial risk control, and the decision engine comprises a strategy warehouse module, a mapping service module, an execution engine module, a data management module, a version rollback module, a security scale module, and a monitoring alarm module. According to the invention, function decoupling is realized through collaborative design of the seven modules, and the modules interact through a unified interface, support strategy dynamic loading, gray release, distributed parallel execution, version governance and security compliance capabilities, and ensure high cohesion and low coupling of the system; through unique strategy version management, intelligent mapping and gray release, plug-in parallel execution, multi-version consistency view, block chain audit rollback, security compliance management and control, intelligent monitoring and other technical innovations, a complex, dynamic and high-concurrency risk control business scene is effectively supported; the security, the flexibility, the expandability and the auditing performance of the decision engine are remarkably improved, and the technical advancement and the industry creativity are high.

The invention discloses a distributed centralized control data synchronization method and system, and relates to the technical field of distributed system data processing, and the method comprises the steps: detecting an abnormal event in real time in a data synchronization process, and forming a pollution domain through the expansion of an event causal graph along a dependency relationship, and an abnormal range is accurately defined by combining forward and backward traversal with a boundary truncation condition. A recovery perception graph is constructed in a pollution domain, event node recovery sensitivity and edge cutting cost are quantified, a dynamic minimum cut optimization model is established, and a minimum rollback set and a recovery range covered by the minimum rollback set are obtained. And generating a verifiable recovery proof at the boundary of the minimum fallback set, realizing independent verification of the event state, and executing fallback and replay operations after the verification is passed. And consistency synchronization of the whole system is realized. And a unified closed loop of high-precision abnormal positioning, verifiable state recovery and efficient synchronous expansion is realized.

The invention relates to the technical field of edge computing and artificial intelligence model updating, and provides a cloud edge collaborative edge end equipment operator hot updating method, system and device and a medium. The method comprises the steps that a cloud detects a new version of an operator and generates an incremental update package between the new version and the old version; the edge node pulls the incremental update package and performs multiple security verification on the incremental update package; a double-instance inference engine is deployed in the edge node, operators passing verification are preloaded to a standby engine, and hot switching from an operation engine to the standby engine is achieved through a state synchronization mechanism; monitoring the running state of the new engine after switching, if the running state is abnormal, triggering a rollback mechanism, and switching back to the original engine; and optimizing edge node resources, cleaning old version operators, and reporting an update state and a resource use condition to the cloud. Core mechanisms such as differential updating, double-instance engine hot switching, multiple safety verification and dynamic resource scheduling are fused, and therefore efficient, safe and non-perceptual operator updating is achieved.

The invention discloses an interaction state backtracking and semantic reconstruction system based on a user operation log. The system comprises an operation log recording module which is used for capturing interactive operation of a user in an interface in real time and generating an event log with a timestamp; the state backtracking module is used for recovering the interactive semantic state of any time node according to the log; the semantic reconstruction module is used for allowing a user to derive a new interaction path on the basis of the backtracking state so as to realize branch evolution of a semantic structure; and the user control confirmation module is used for providing a confirmation mechanism in the state recovery and reconstruction process to ensure that final execution is triggered by a user. The technical problems that an existing system lacks historical operation tracking, and semantic rollback and reconstruction are difficult to carry out are solved.

The invention discloses a BMS (Battery Management System) double-partition collaborative flashing method and system and electronic equipment. Relates to the field of program flashing. A BMS storage area is divided into a first bootstrap program area, two independent bootstrap program partitions and two independent application program partitions, an effective flag bit and a program version number are set for each partition, and state judgment of a partition type arbitration mechanism and a program flashing flag bit is combined, so that the application program is flashed and written, and the application program is flashed and written. A complete process from system starting, partition selection and flash control is constructed. According to the scheme, independent dual-backup management of the bootstrap program and the application program is realized, and when any flash fails or the program is abnormal, a runnable stable version is kept all the time; the technical problems of system paralysis, rollback mechanism deficiency, irreversible upgrading process and the like caused by flashing failure in a traditional single-partition or single-side dual-backup architecture are effectively solved, and the reliability, the safety and the fault-tolerant capability of BMS software updating are remarkably improved.

The invention discloses a target equipment upgrading method and device based on an equipment grading strategy, equipment, a medium and a product, and relates to the field of mobile terminal software upgrading, and the method comprises the steps that a server collects hardware features of target equipment and automatically grades the equipment by using a K-means clustering algorithm; generating a differential OTA upgrade package based on the grading result; segmenting the differential packet into data fragments with fixed sizes, and generating a hash value and a digital signature for each fragment; the equipment end downloads one by one, verifies integrity and signatures in real time, and supports breakpoint resume; the server side predicts the OTA upgrade failure risk through the trained random forest model, and dynamically adjusts a push strategy; the equipment adopts an A / B partition mechanism to realize safe rollback; in a non-secure network environment, the server and the device cooperatively generate a temporary key based on a device ID and a timestamp to encrypt and transmit fragments. The volume of the upgrade package is effectively reduced, the transmission efficiency is improved, the security is enhanced, and the upgrade failure rate is remarkably reduced.

The invention discloses a parking lock remote control system based on cloud edge collaboration, and the system comprises the following modules: a multi-source state preprocessing module which is used for collecting multi-source state data and generating a basic state vector; the four-way potential field construction module is used for constructing a four-way coupling control potential field constructor and generating a four-way control potential field vector; the path deduction module is used for executing the action execution path and generating a reverse anti-fact difference value; the control window generation module is used for generating a reverse anti-fact control window and issuing the reverse anti-fact control window to the edge collaborative gateway; the micro-action chain adjusting module is used for generating a micro-action chain and adjusting the execution amplitude, the execution duration and the step length of each micro-action unit; and the abnormal rollback updating module is used for updating a reverse anti-fact control window strategy and a four-way potential field weight parameter. According to the invention, through combination of cloud anti-fact deduction and edge reversible gradient adjustment, controllable, reversible and high-stability intelligent remote control of the parking lock in a complex environment is realized.

The invention particularly relates to a distributed time series data cross-node atomic writing and transaction management method. According to the distributed time series data cross-node atomic writing and transaction management method, a coordination node receives a time series writing request, generates a unique TID and issues the unique TID; the storage node writes the data into a pre-write log WAL, marks the data as pending, and establishes mapping between the TID and log entries; the cooperative node sends a pre-submission instruction, and the node responds after being ready; and if verification is passed, broadcasting submission is carried out, a formal storage update version is written, otherwise, rollback is carried out, operation is cancelled according to WAL, and finally associated logs and states are cleared. According to the distributed time series data cross-node atomic write-in and transaction management method, end-to-end atomicity, consistency, low delay and rapid recovery of cross-node time series data write-in are achieved, a write-in path only needs one-time WAL write-in, synchronous blocking is avoided, and the concurrent throughput performance is remarkably improved; and the scheme does not invade an upper-layer application interface, and can be reused in any distributed storage system supporting the WAL.

The invention relates to the technical field of cloud data synchronization, in particular to a diabetes management-oriented cloud data synchronization method, which comprises the following steps: based on a blood glucose monitoring record, unifying a time zone and verifying a device serial number, generating a terminal version identifier, comparing a cloud version to screen missing entries, and identifying time abnormality and a device source. And forming a version difference mark, judging a missing range and a conflict identifier, updating a synchronization state after sorting, and counting the number of synchronization entries. According to the method, the problems of additional recording of historical data and version conflicts in data synchronization are effectively solved by introducing a dynamic rollback mechanism and timestamp difference comparison, clock differences between devices are automatically detected and adjusted in the synchronization process, timely updating and consistency of data are ensured, invalid synchronization operations are reduced through an intelligent conflict resolution mechanism, and the synchronization efficiency is improved. The accuracy and timeliness of data in diabetes management are ensured, and the data stability and consistency in a multi-terminal environment are improved.

The invention relates to the technical field of enterprise management, in particular to an enterprise process custom configuration method and system based on a code-free technology, and the method comprises the steps: constructing a multi-layer directed hypergraph containing data, control and condition dependence, calculating an edge weight, and converting the dependence into a first-order logic constraint set; performing incremental satisfiability detection, and outputting a conflict core set containing conflict types and severity in combination with minimum unsatisfiability subset mining and strong connected component analysis; mapping the conflicts into modifiable elements, and generating parameterized candidate repair schemes based on a repair operation library and historical cases; converting the candidate scheme into a weighted constraint optimization problem, and solving an optimal scheme by adopting a branch and bound algorithm; influence propagation verification is completed in the copy, a differential patch and a rollback identifier are generated, transactional submission is carried out after passing, and the weight and the case library are updated. According to the method, automatic diagnosis and low-risk repair of implicit dependency conflicts are realized.

The invention discloses a cloud migration security verification method, and relates to the technical field of information, and the method comprises the steps: inputting a dynamic verification result into a pre-trained anomaly detection model, carrying out the automatic analysis of migration data and the dynamic verification result, generating a re-verification request when an anomaly is detected, and triggering a source end to output the corresponding batch of metadata again, otherwise, generating an increment verification proof; the increment verification proof is analyzed and verified in the audit account book, a consistency report is generated and intact, missing and conflicting segments are marked, rollback and supplementary transmission are triggered and verification is carried out again when conflicts are found, and a final chain root is generated when no conflicts exist; writing the final chain root into an audit account book, generating a final verification certificate, carrying out credible erasure on the migration data, generating an erasure certificate, and combining the final verification certificate with the erasure certificate to generate a security verification result. According to the method, each batch of data is ensured to be subjected to complete verification before archiving, so that the security, data consistency and credibility of cloud migration are improved.

The invention provides a concurrent processing method and device for a water conservancy internet of things, relates to the field of data processing, and solves the technical problem that key data processing is not timely or system performance is reduced due to the fact that data priority and load fluctuation are difficult to consider in the prior art. The method comprises the following steps: acquiring a water conservancy Internet of Things equipment data stream; performing three-dimensional value scoring on the data stream based on the popularity factor, the service weight factor and the timeliness factor to determine a first three-dimensional score; based on the first three-dimensional score, dynamically optimizing weight parameters of a popularity factor, a service weight factor and a timeliness factor through a self-learning weight adjustment mechanism to obtain a second three-dimensional score; according to the second three-dimensional value score and the system load condition, performing grading processing on the data stream to obtain a data stream grading processing result; and executing a corresponding data processing strategy based on a data stream grading processing result, and when a prediction rollback condition is satisfied, carrying out rollback to full-amount service step by step. The method is used in the concurrent processing process of the water conservancy Internet of Things.

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 relates to the technical field of intelligent control, and discloses a dexterous hand motion planning and control method based on a visual language motion model, and the method comprises the steps: S1, collecting data, and carrying out the time sequence synchronization and consistency verification of multi-source data; s2, performing dynamic adaptive exponential moving average filtering and calculation processing on the joint sequence, and reconstructing a processing result into adaptive structured features; s3, fusing joint states, inputting the fused joint states into an action head network, splicing online and offline samples into a training batch according to a preset proportion, and determining results to jointly optimize model parameters; s4, performing model reasoning to obtain target action information, performing processing in sequence to generate a smooth low-jitter control sequence, and sending the smooth low-jitter control sequence to the dexterous hand for execution; and S5, the deployment thread issues a control instruction by aligning the annular buffer and the timestamp, triggers a rollback track and allows manual intervention when the control instruction exceeds a threshold value, and writes manual intervention data into an offline buffer. According to the method, efficient, stable and smooth motion control of the dexterous hand can be realized under the condition of extremely few teaching data sets.

A system and method for performing rolling updates of distributed applications in a software-defined network environment. An application manager coordinates deployment of updated versions of fxDeviceApp and fxCloudApp components to isolated execution environments on distinct network elements, such as edge devices and cloud-based containers or virtual machines. During the update process, the system establishes secure communication tunnels between the updated components using a virtual messaging fabric, verifies the integrity of the updated components before activation, and maintains service continuity by activating the new versions only after successful validation. The original application instances are decommissioned after the updated components are fully operational. The system supports dynamic scaling of execution environments based on load conditions, policy-governed update concurrency and ordering, coordinated deployment across multiple zones, automatic rollback on failure, and audit logging of deployment events. These mechanisms enable secure, resilient, and minimally disruptive application lifecycle management in distributed and programmable networking environments.

The invention discloses a centralized management system operation and maintenance server, which is deployed in a data center or a cloud platform and is used for performing centralized operation and maintenance management on target hosts in a plurality of service systems. The system operation and maintenance server comprises a resource registration module, a monitoring acquisition module, a configuration management module, a task arrangement module, an alarm and self-healing module, an operation and maintenance auditing module, an interface management module and an identity authentication and authority control module. The resource registration module is used for receiving information of a target host and a business system to which the target host belongs, generating a unique resource identifier and establishing a resource information base; the monitoring acquisition module issues a monitoring acquisition strategy based on the resource identifier and acquires monitoring index data and an operation log; the configuration management module performs difference comparison on the current configuration and the configuration baseline, and issues a configuration template and performs configuration version management after confirmation; and the task arrangement module arranges the atomic operation and maintenance operation into a task execution plan containing an execution sequence and a rollback strategy.

The invention provides a database migration method, device and equipment based on AI assistance and a medium, and belongs to the technical field of data migration. The method comprises the steps that a migration prediction result is generated based on a pre-trained migration knowledge graph model according to feature information of a source database and a target database; based on the minimum downtime, the data loss amount and the migration cost as optimization targets, an optimal migration strategy is generated according to the migration prediction result, the data playback state is monitored while the data migration task is started to be executed according to the optimal migration strategy, and migration parameters of the data migration task are adjusted according to the monitoring result; and according to a monitoring result, predicting an optimal switching opportunity and evaluating a rollback risk, and according to an evaluation result, adjusting an execution state of the data migration task. The database migration process is intelligent, self-adaptive and high in reliability, and migration efficiency and success rate are remarkably improved.

The invention discloses a server CPU migration configuration adjustment method. The method comprises the following steps: step 1, monitoring the state of a server cluster; 2, generating a migration strategy; step 3, pre-configuration before migration; 4, migration execution and real-time tuning are carried out; and step 5, verification and configuration solidification after migration. According to the method, the thermodynamic diagram is generated by monitoring the cluster load in real time, resource requirements are accurately matched, and resource mismatching is avoided; a migration strategy is automatically generated, a target environment is pre-configured, and the service interruption time is greatly shortened in combination with an incremental synchronization technology; a closed-loop verification mechanism is introduced to ensure the migration reliability, the fault risk is remarkably reduced in cooperation with an automatic rollback function, the scheme breaks through the limitation of a traditional method, CPU core-level refined scheduling is achieved, the resource utilization rate is increased in a key service scene, the operation and maintenance complexity is reduced, and an efficient solution is provided for elastic expansion of a data center.

The invention discloses a standardized product deployment operation and maintenance method based on an off-line environment, computer equipment and a computer readable storage medium, and the method comprises the steps: S1, executing a one-key initialization process, rapidly building a visual platform with an Ansible Semaphore as a core through an off-line medium and an automatic script, and achieving zero-threshold starting; s2, a visual deployment process is executed, deployment is completed in a visual mode at an Ansible Semaphore webpage end on the basis of a platform built by a one-key initialization process, and a multi-scene Ansible Playbook is built in the platform; s3, a visual operation and maintenance process is executed, a'modular script visual platform 'is taken as a core, a monitoring alarm scene, a log query scene, a component upgrading scene and a version rollback scene are covered, and all operations are based on offline preset resources; and S4, executing a visual publishing process, and adopting a closed-loop system in which an offline medium is taken as a carrier, canary publishing is taken as verification and rolling updating is taken as execution, so as to ensure that services are published without interruption in an offline environment.

The invention discloses an Internet of Things device anti-quantum password migration method based on a national cryptographic algorithm, and relates to the field of data security, the method comprises the following steps: configuring a Hash agility module taking a national cryptographic SM3 as a default algorithm, and dynamically switching to an anti-quantum or compatibility alternative algorithm based on monitoring; carrying out identity authentication and temporary key negotiation by adopting SM2, and generating a key pair only used for a single session; deriving a session key based on the key pair, and adopting a differential double-layer signature verification mechanism according to the data security level; for firmware updating, a differential package is generated through function level differential analysis, and atomic updating and rollback are achieved through A / B system partition. According to the method, quantum computing threats are effectively resisted, national security compliance and forward security are ensured, the volume of an update package is remarkably reduced through a resource optimization technology, memory occupation is reduced, verification efficiency is improved, and the method is particularly suitable for resource-limited Internet of Things equipment.

The invention discloses a memory synchronization method and system in a virtualization fault-tolerant environment, and relates to the technical field of data processing. The method comprises the following steps: capturing a memory write-in operation of a main node of a virtual machine, and generating a memory write-in log; dividing the memory write-in log into a plurality of memory data blocks through multi-thread processing; synchronizing the memory data block into the memory of the virtual machine standby node, and maintaining heartbeat detection between the virtual machine master node and the virtual machine standby node; and when detecting that the heartbeat of the main node of the virtual machine is abnormal, triggering the standby node of the virtual machine to carry out rollback takeover by utilizing the synchronous memory data. The technical problems that in the prior art, in the virtualized fault-tolerant environment, the memory data synchronization efficiency of main and standby virtual machines is low, the data consistency guarantee is insufficient, and the main node fault takeover delay is large are solved, and the technical effects that the memory synchronization real-time performance and accuracy are improved, rapid seamless takeover of the standby node is guaranteed, and service continuity is ensured are achieved.

The invention discloses a low-code process automatic arrangement method and system, and particularly relates to the technical field of automatic arrangement, and the method comprises the steps: carrying out the unified collection and verification of an external system, resources and system boundaries before deployment, generating an operation environment fingerprint with a signature, and carrying out the strong binding of the fingerprint with a process instance; process DAG modeling is completed on the visual canvas, system and semantic double validity verification is carried out, and a post-curing parameter snapshot is used as a subsequent unique parameter source; in the online simulation period, observable measurement is collected, a deviation perception index is formed, and steady selection and switching of an execution kernel are achieved by combining hysteresis and a minimum residence strategy; in a production state, a canary release strategy, a degradation strategy and a rollback strategy are used for communicating simulation and real disk, and the SLA and the key KPI are continuously monitored; normalized collection and immutable archiving are carried out on structured and semi-structured data in the operation period, an evidence chain and a minimum reproduction experiment package are generated based on hash and signature, and the comparability and traceability of cross-version results are achieved.

A cloud-based private access system integrates static CMDB data with real-time access telemetry to automate Zero Trust segmentation. Administrators upload CMDB files (e.g., CSV / JSON) describing applications, FQDNs, IPs, ports, protocols, ownership, and priorities. An analytics management service stages and normalizes the data, retrieves reference domain data from an in-memory cache, and queries a telemetry engine to correlate intended configurations with observed usage. The system detects mismatches, over-permissive wildcard access, and auto-discovers non-listed elements such as subdomains, ports, or protocol combinations. It then generates prioritized recommendations to refine wildcard rules, create explicit allow policies, and merge or split application groups. Administrators review, simulate, and approve updates, enabling phased rollout, rollback, auditing, and continuous policy tuning based on evolving user and application behavior.

The invention relates to the technical field of server cluster operation and maintenance management, and discloses a server cluster-oriented operation and maintenance exception self-healing method and system, and the method comprises the steps: collecting multi-source operation and maintenance data of a server cluster, and carrying out the data preprocessing and multi-modal feature fusion; carrying out topological relation extraction and structure learning, identifying the change of a topological dependency relation and carrying out incremental updating; performing server node state prediction, and identifying abnormal nodes; performing causal inference and abnormal root cause positioning; rule reasoning is carried out, and the abnormal type of the root cause node is identified; constructing a strategy network, verifying and deploying the strategy network, and making a decision for the diagnosis identifier; carrying out multi-dimensional risk assessment and grading processing, monitoring an execution effect in real time and carrying out failure rollback; according to the method, a complete closed loop from anomaly detection, root cause positioning to strategy execution is formed, and an effective solution is provided for intelligent operation and maintenance of a large-scale server cluster.

The invention discloses a casting defect diagnosis and closed-loop control system and method based on causal anti-fact and multi-agent arbitration. The system collects multi-source data such as temperature, flow, cooling, vision and the like, learns a causal structure, establishes an agent model and solves an adjustment scheme which enables the defect probability to be remarkably reduced in a security domain; performing evidence verification on the suggestions through verifiable generation and a knowledge graph, fusing vision, process, metallurgy and simulation agent arbitration, executing in an edge-cloud double ring, and triggering security rollback abnormally; and when the uncertainty is increased, active learning and incremental updating are implemented. According to the scheme, the defects of shrinkage cavities, air holes and the like can be remarkably reduced, the first-pass yield is improved, and the method is suitable for aluminum alloy sand molds, metal molds and low-pressure casting production lines.