67 results about "Business continuity" patented technology

The application discloses a kind of server fault diagnosis method and system for server group, it is related to server operation and maintenance technical field, present and propose the following scheme, including data acquisition unit, data preprocessing unit, data training unit, data diagnostic analysis unit, scheme generation unit, scheme verification trial unit, data storage unit and data early warning unit, each unit is connected by communication bus or network link and forms closed loop diagnosis system.The application constructs full-link fault diagnosis system, through multidimensional collection hardware, software, network data, improves data quality by scientific pretreatment, adopts rule matching+machine learning hybrid model, combined with self-learning mechanism, improve diagnostic accuracy and coverage, generate personalized repair scheme and be verified by simulation / real machine, avoid secondary failure, full-process data safety storage and double early warning mechanism, realize fault tracing and prevention and control in advance, greatly improve server group operation and maintenance efficiency, guarantee business continuity.

The application discloses a pump cylinder integrated immersion liquid cooling system and a precision control method thereof. The system comprises a cylinder body, a plurality of distributed hot plug magnetic pump machine modules, an impeller manifold, a fluid collaborative dynamic redundancy manifold, a multi-source cooling liquid sensing module and an intelligent coordination control module. A plurality of logical cooling partitions are formed in the cylinder body by the arrangement of heating units, and each partition corresponds to a set of split magnetic coupling magnetic pump machine modules. The intelligent coordination control module independently controls each partition pump module in a closed loop according to multi-source temperature sensing data, realizes on-demand cooling of the partitions, and when the pump machine fails, executes fluid dynamic collaborative redundancy control to maintain cooling by scheduling the flow of adjacent partitions and adjusting the load of the equipment. The application realizes precise temperature control and ultra-high energy efficiency, supports online maintenance without stopping to ensure business continuity, has good modularity and cross-scene expandability, and can be widely applied to heat dissipation management of high heat flux density scenes such as data centers and energy storage devices.

The application discloses a heterogeneous device log processing method and device of an industrial Internet of Things, an apparatus and a medium, relates to the technical field of Internet of Things logs, and comprises the following steps: creating a runtime instance and initializing a log module; collecting log data of an application processor and a communication processor to form a unified log stream; selecting a log analysis strategy according to a source identifier to generate structured log analysis data; and receiving configuration update data to perform dynamic hot updating. The heterogeneous log processing is decoupled from the AP firmware, all logs are isolated and processed in a WASM sandbox, the stability of a host program and an AP system is not affected by an exception, the log module and the strategy configuration can be dynamically and hotly updated, log levels and filtering rules can be adjusted in real time in response to requirements, atomic switching and automatic fallback ensure business continuity, log collection and processing are not interrupted, differential configuration updating effectively reduces network transmission overhead, and the application is particularly suitable for an industrial Internet of Things edge computing scene in which network bandwidth and computing resources are limited.

This invention relates to the field of task scheduling technology, and discloses a task scheduling method and system based on spectral clustering and auction algorithms. The method includes: acquiring registered resource information and task information to be scheduled; performing spectral clustering on the resource information and task information respectively to form resource group sets and task group sets; based on the auction algorithm, performing inter-group matching and task allocation on the resource group sets and task group sets to generate an initial allocation scheme; performing global balance adjustment on the initial allocation scheme to obtain a final allocation scheme, and performing task scheduling according to the final allocation scheme. This invention solves the problems of complex process scheduling easily getting trapped in local optima and insufficient dynamic response and cross-departmental collaboration in large-scale continuous task input scenarios, improving the global balance of resource allocation, real-time accuracy of scheduling, and business continuity assurance capabilities.

This invention relates to the fields of artificial intelligence, multi-agent collaborative scheduling, and federated security management. Specifically, it is a federated capability management and unified scheduling system for multi-agent collaboration, comprising: a central scheduler receiving collaborative task requests across multiple local agent nodes and obtaining capability declaration information containing only the capability tags of the local agent nodes; constructing prompt word templates and generating an initial fine-grained task decomposition scheme; extracting cross-domain call links, statistically analyzing the frequency of cross-domain calls and data interaction dimensions, predicting the communication interruption probability of local agent nodes and comparing it with a security risk threshold; if the probability is lower than the threshold, a fine-grained scheme is adopted; if the probability is higher than or equal to the threshold, a minimum-privilege interaction coarse-grained scheduling scheme is generated and distributed; and local agent nodes executing sub-tasks and reporting their status to maintain core business continuity without exposing underlying private data.

This invention provides an emergency response processing device and emergency response support method that assist service-recipient organizations in properly implementing their business continuity plans and disaster prevention plans. [Solution] The system includes a receiving means for receiving emergency alerts and a processing means for issuing action requests to predetermined terminal devices associated with the target organization upon receiving an emergency alert. The action requests are instructions that correspond to the target organization's predetermined business continuity plan. The action requests are instructions for evacuation guidance.

The present application relates to the technical field of artificial intelligence task scheduling and computer system security control, in particular to an executable intelligent hub platform system capable of dynamic scheduling, comprising: obtaining initial intention data and current environment attribute data; generating a dynamic task execution flow composed of multiple execution nodes through a scheduling plane and allocating resources; when the execution plane flows through a node, synchronizing the current execution state and the current environment attribute data to a security plane, performing dynamic attribute self-adaptive authentication based on a role access control model and an attribute access control model; controlling system call tool execution and outputting node execution results based on the authentication result; adjusting the state of the execution flow, continuing the subsequent node when the authentication passes, triggering a downgrade retry when the authentication fails and a downgrade strategy exists, triggering thread interception and state freezing when the authentication fails and no downgrade strategy exists, so as to balance security constraints and business continuity.

This invention provides a communication system and method for cross-line operation scheduling in rail transit, relating to the field of rail transit communication technology. It includes multiple scheduling servers, each associated with a corresponding line, and communication connections are established between the scheduling servers associated with the cross-line lines. Each scheduling server includes: a storage module for storing a train attribution table, which stores the mapping relationship between each train and its corresponding scheduling server; and a message scheduling module, used to, upon receiving a business message from a train currently operating on the associated line, designate the train's corresponding scheduling server as the target scheduling server according to the train attribution table, forward the business message to the target scheduling server, and receive the business processing result from the target scheduling server and forward it to the corresponding train. The beneficial effects include ensuring the business continuity of cross-line operations and significantly improving the compatibility and interconnection efficiency of scheduling systems from different manufacturers and lines.

This application provides a method and system for single-switching services in a distributed platform multi-active disaster recovery scenario, belonging to the field of distributed computing and disaster recovery management. The method includes: constructing service provider access information based on the service provider's access configuration when accessing the distributed platform; constructing a service provider instance startup parameter model based on the availability zone configuration when the service instance starts; loading the agent file corresponding to the service provider instance startup parameter model during the service instance startup process, and reporting the service provider access information and availability zone identifier to the service engine component and the registration center to achieve service instance registration and mounting; when the target service triggers a single-switching operation, calling the platform interface to activate the backup availability zone instance, and switching service traffic from the primary availability zone instance to the backup availability zone instance based on the addressing information of the registration center. This invention enables disaster recovery operations to be refined from platform-level switching to service-level switching, improving business continuity and resource utilization efficiency under a multi-active architecture.

This invention proposes a geospatial data security risk monitoring method based on user entity behavior analysis. The method includes: S1, multi-source heterogeneous data acquisition and semantic preprocessing; S2, multi-dimensional behavioral feature extraction and vectorized representation; S3, adaptive behavioral baseline modeling and dynamic updating; S4, multi-level anomaly detection and risk quantification; and S5, adaptive response and dynamic handling: executing response measures according to risk scores. This invention's risk-score-based hierarchical response mechanism effectively reduces the cost of handling security incidents while ensuring business continuity.

This application relates to a method, apparatus, device, medium, and program product for super-redundancy processing. The super-redundancy processing method includes: identifying super-redundant data blocks in a storage device; determining the target metadata instance corresponding to the super-redundant data block; determining the service status of the target metadata instance in the corresponding target storage pool within the storage device based on the target type to which the target metadata instance belongs; and controlling the target storage pool to be in a service state. This method can maintain the availability and business continuity of the storage system to a certain extent, and improves the flexibility of the super-redundancy processing mechanism.

This invention belongs to the interdisciplinary field of data security and artificial intelligence, and discloses a non-intrusive AI-enhanced dynamic access control and sensitive data protection method and system. The method includes the following steps: non-intrusive aspect-based pointcutting is used to collect context information for preprocessing, generating a context feature vector; context awareness and dynamic risk assessment are performed to output a risk level; AI-enhanced intelligent identification of sensitive data outputs a sensitivity level; dual-decision logic for access control and de-identification strategies is executed, outputting the access control result and sensitive data de-identification strategy; dynamic hash verification is used to prevent context tampering, and system performance indicators are monitored in real time. The system includes a context collection and preprocessing module, a dynamic risk assessment module, a sensitive data identification module, a dynamic strategy execution engine module, a full-link context pass-through and verification module, and a performance monitoring and degradation recovery module. This invention balances data security and business continuity, and is suitable for data security protection scenarios in Java microservice architectures.

This invention relates to the field of storage systems, providing a dual-node shared storage system, method, and computing node. An access control module is connected to a first computing node, a second computing node, and multiple shared storage devices, selectively establishing data access links between the first and second computing nodes. When a failure is detected in the primary node, another computing node automatically takes over as the primary node and rebuilds the data access link to the backup node. After the original primary node recovers from the failure, if it identifies another computing node as the current primary node, it places itself in a backup state without preempting the exclusive data access link and, in response to a preset switchback command, performs a role handover from the current primary node to itself. This invention combines hardware-level I / O isolation technology with software-level intelligent state management logic, achieving high data security, business continuity, and maintainability.

This invention discloses a disaster recovery control method, system, terminal, and medium for millisecond-level switching between a toll station cloud platform and a downgraded service. The method includes: simultaneously connecting a toll station lane controller to both a cloud platform transaction service and a plaza downgraded transaction service, and reporting the connectivity and operational status of these services in real time; when the cloud platform transaction service is detected to be unavailable or in an abnormal state, determining whether to switch the current operating mode to the plaza downgraded mode, and completing toll collection using the plaza downgraded transaction service after receiving a confirmation switch command; if the cloud platform transaction service is detected to be restored and stably available, determining whether to switch the current operating mode to the cloud platform service mode, and completing toll collection using the cloud platform transaction service after receiving a confirmation switch command. This invention, through the lane controller handling millisecond-level device driving and critical data caching, combined with a primary / backup strategy and a downgrade mechanism, can ensure business continuity under various fault scenarios.

The application relates to the technical field of container resource isolation, and discloses a kind of intelligent fusion terminal micro application resource isolation method based on container technology, comprising: setting sampling period and continuously collecting the running behavior data of each container in each sampling period;Based on the running behavior data, the running correlation model between containers is constructed;Based on the running behavior data, identify abnormal running containers and identify the abnormal correlation path of each abnormal running container based on the running correlation model;Based on the abnormal correlation path, divide the minimum state set for each abnormal running container;Based on the minimum state set, respectively, each abnormal running container is isolated from resources.The application accurately cuts off the abnormal propagation path at the state level, realizes the controllable isolation of container anomaly and the stable operation of business continuity.

The application discloses a kind of adaptive detection processing method and system of database DDL change, it is related to database technical field.The method includes: receiving DDL change request, parsing target table information and identifying DDL operation type;Real-time system load index is collected, and long transaction and big transaction determination threshold are dynamically adjusted;Through the three-table association query of lock information table, thread information table and transaction information table, the active transaction information of holding target table metadata lock is obtained;According to transaction has been executed time length, the amount of data modified and lock type, calculate comprehensive risk score, determine conflict level;According to conflict level and DDL operation type, execute different processing strategy.The application realizes the accurate matching of metadata lock holder and active transaction information, can adaptively adjust detection threshold according to system load, and based on comprehensive risk score, different conflict processing strategies are provided, so that DDL change is effectively avoided for a long time Block, guarantee business continuity.

The application relates to the technical field of power terminal network security, and specifically discloses an identity and permission dynamic authentication method for distributed power terminals, which issues an initial capability token based on a hash message authentication code when the terminal accesses the network, and fuses historical interaction data to construct a baseline risk graph representing a normal calling range; in operation, the method continuously extracts the multi-modal behavior characteristics of terminal traffic and system calls, injects the graph into a graph neural network, quantizes a continuous horizontal penetration risk gradient, trims a minimum necessary permission set, re-encodes the set into a decay constraint condition, and appends the condition to the tail of the token in a one-way hash chain. Finally, an edge gateway can complete the unauthorized interception in a stateless manner by verifying the integrity of the token hash chain. The method drives the continuous decay of permissions by risk gradient, replaces the centralized strategy change with the cryptographic evolution of the token itself, avoids the algorithmic bottleneck of high-frequency permission synchronization, and retains the core telemetry communication permission, thereby suppressing horizontal penetration while ensuring power grid business continuity.

This invention discloses an internet data security protection method and system based on artificial intelligence algorithms, comprising the following steps: S1, real-time collection of multi-dimensional security data in the target network; S2, anomaly detection, outputting anomaly risk values ​​representing potential security risks; S3, dynamic attack fingerprint construction, forming a structured attack fingerprint vector; S4, using a deep metric learning model, semantically matching the currently constructed attack fingerprint vector with the fingerprint vectors of historical data leakage attacks, calculating a dynamic matching degree representing the similarity between the two in causing data leakage; S5, constructing and maintaining a network security knowledge graph, outputting the associated paths and causal probabilities that may lead to data leakage when new attacks or anomalies occur; S6, generating combined defense strategy instructions that integrate security effects and business continuity considerations; S7, calculating dynamic trust scores and executing fine-grained access control and isolation measures.

The present application relates to the technical field of administration, in particular to a security personnel intelligent scheduling system and method based on hierarchical architecture. The system adopts five-layer architecture of data management layer, feature calculation layer, intelligent core layer, decision support layer and user interaction layer to realize business logic decoupling. The method core includes: converting requirements into structured portraits through a project analyzer; the intelligent scheduling engine adopts a multi-objective evolutionary algorithm integrating robust optimization, generates a resilient scheduling scheme capable of resisting the worst absence scenario by defining an uncertain set of personnel availability; the dynamic scheduler adopts an online algorithm with a guaranteed competitive ratio to provide real-time decisions with bounded performance for unpredictable temporary tasks. The scheme realizes the change from post-event remediation to pre-event prevention, guarantees business continuity, and provides quantifiable performance guarantees for scheduling decisions in dynamic environments.

This invention discloses an automatic optimization method and system for 5G coverage in factory areas based on the Internet of Things (IoT). To address the problems of existing automatic parameter adjustments lacking safety boundaries, easily affecting production and business continuity, and lacking automatic verification and rollback of optimization effects, this invention collects measurement data from IoT terminals in the factory area and obtains a snapshot library of initial wireless configuration parameters and stable parameters. It constructs a heterogeneous dynamic spatiotemporal graph sequence representing the relationship between terminals and 5G cells. Using a pre-trained heterogeneous dynamic spatiotemporal graph neural network, it outputs predicted values ​​and uncertainties of business performance indicators and calculates lower confidence boundaries to determine business continuity safety conditions. Under feasibility discrimination constraints and change magnitude constraints, it uses constrained Bayesian optimization to generate a set of candidate wireless configuration parameters. Based on the experimental cell group and the control cell group, it performs a comparative sequential statistical test to form verification results. Based on the verification results, it performs hierarchical rollback or writes to stable snapshots. This achieves the technical effects of automatically optimizing 5G coverage parameters while ensuring business continuity, rapidly verifying optimization effects, and automatically recovering in case of anomalies.

The application discloses a railway signal system mobile internet business continuity guarantee system supporting 5G and 4G dual-mode switching, comprising: a network state real-time monitoring unit, used for collecting 5G network and 4G network communication parameters of a target area in a railway signal system mobile internet scene, wherein the communication parameters at least include 5G / 4G signal strength, network coverage range, transmission delay; a 5G-4G mode switching control unit, electrically connected with the network state real-time monitoring unit, receiving the communication parameters and generating a mode switching instruction. Through the setting of the network state real-time monitoring unit and the 5G-4G mode switching control unit, a precise dual-mode switching mechanism is constructed, the signal strength, coverage range, transmission delay and other parameters of the 5G and 4G networks can be collected in real time, and the switching instruction is generated based on the preset threshold, so that the automatic switching of the 5G and 4G modes is realized, and the mechanism can adapt to the network coverage differences of different areas in the railway signal system mobile internet scene.

This application provides a method, apparatus, device, medium, and system for dynamic optimization and hot updating of intelligent agent tools based on runtime feedback. The method includes: acquiring runtime state data generated when the intelligent agent calls a first execution component, including the actual execution node chain; obtaining a preset baseline chain from a reference component specification library and generating a deviation node list based on the deviation relationship; extracting anomaly indicator nodes, locating the end node to be corrected in the original logical syntax tree and replacing it with the target logical node, changing the original logical syntax tree to an updated logical syntax tree, and converting it into a target execution code stream; while maintaining the continuity of the intelligent agent's processing process, writing the target execution code stream into the memory address space to form a call overwrite, and hot updating the first execution component to a second execution component. This application can achieve fine-grained and precise optimization and upgrading of components while ensuring business continuity.

This application discloses a method, device, and medium for supply chain security management in rural cooperatives. The method includes: dynamically generating temporary access keys by extracting and quantifying business context factors such as season, logistics, transactions, and land status to achieve fine-grained access control; analyzing cross-module business feature tensors using quantum support vector machines to achieve associated abnormal behavior detection and risk classification; triggering a graded collaborative response mechanism based on risk levels to implement precise protection while ensuring business continuity; and finally achieving full-link verifiable auditing based on quantum-secure blockchain. This application deeply integrates a quantum-secure encryption system with multimodal business data in the supply chain, constructing a three-layer closed-loop security architecture of "quantum control, business anomaly detection, and dynamic resource optimization." This architecture can resist quantum computing attacks, achieve synergistic optimization of security strategies and business efficiency, and provide rural cooperatives with a supply chain management platform that offers forward-looking security and high operational availability.

This invention discloses a rule-based database SQL protection device, method, equipment, and medium, relating to the field of data protection technology. The method includes: a data acquisition unit capturing and preprocessing SQL statements and request metadata; a parsing and analysis unit performing syntax parsing and semantic analysis to extract features; a rule matching unit comparing the features with a rule set to generate a judgment result; a decision execution unit executing permission or blocking based on the judgment result and request metadata and generating logs; and a monitoring and feedback unit collecting performance and security data to evaluate the rule set to generate an updated rule set and write it back. This invention enables dynamic adaptive rule adjustment to cope with new types of attacks, reduces false positive rates to ensure business continuity, improves processing efficiency in high-concurrency scenarios to avoid performance bottlenecks, simplifies rule management complexity and reduces reliance on administrator expertise, and achieves context awareness to effectively prevent session-level combined attacks.

This invention discloses an AI-powered intelligent recognition and automated form filling system for the manufacturing industry, integrating OCR and NLP technologies, and its implementation method, belonging to the field of manufacturing digitalization technology. The core of this technology lies in achieving rapid recognition of business scenarios with multiple input types, including voice, text, and documents, through the integration of OCR and NLP technologies. It utilizes a JSON template with a table structure to complete standardized data parsing and automatically links and opens the corresponding business modules to automate form filling. Specifically, it quickly matches input information with business scenarios by constructing a scenario feature library and a JSON mapping system with the table structure; it uses enhanced OCR to extract image / document data and NLP technology to parse voice / text semantics, generating JSON format data conforming to the table structure; finally, it automatically calls and opens the target business module to complete data filling and process triggering. This invention solves the technical pain points of slow scenario recognition, non-standard data parsing, and the need for manual switching of business modules in traditional manufacturing form processing, significantly improving form processing efficiency and business continuity. It can be widely applied to various manufacturing scenarios such as equipment inspection and invoice recognition, and has strong practicality and scalability.

The application discloses a heterogeneous computing power network resource dynamic arrangement method and medium for an edge computing scene, belongs to the technical field of edge computing, and the method unifies the representation of computing power, storage, network, energy consumption, data resource nodes and cross-dimension constraint relationships thereof by constructing a five-dimensional resource hypergraph model, solves constraint propagation by using a parallel generalized arc consistency algorithm, selects an optimal arrangement scheme based on a multi-objective optimization function containing a data gravity factor and a thermal perception factor, and dynamically adjusts model parameters through an adaptive feedback module; and the application realizes the joint optimization and fine-grained dynamic arrangement of multi-dimensional resources, and improves resource utilization and business continuity.