24 results about "Operational complexity" patented technology

System and methods are disclosed for providing unforgeable telemetry on computer platforms. Mathematical modeling and theorem proving are utilized to guarantee the integrity of telemetry probe execution flow and trigger, thereby preventing circumvention and tampering of logged probe data. In contrast to current state-of-the-art solutions that rely implicitly on the operating environment, this approach provides a sound and complete assurance of telemetry output. The system enables organizations to map unforgeable telemetry probe data to industry and government cybersecurity regulatory controls, ensuring compliance therewith. This invention addresses the shortcomings of existing solutions, including their vulnerability to sophisticated attacks, operational complexity, and inability to provide unforgeable telemetry data, thereby providing a reliable and accurate monitoring output in the presence of cyberattacks on computer platforms.

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.

This invention discloses a data processing method, apparatus, electronic device, and storage medium, relating to the field of computer technology. One specific embodiment of the method includes: receiving a data processing instruction; obtaining the corresponding sliding window for each stored data; calculating the access parameters for each stored data; responding to a reporting instruction for the access parameters; obtaining the corresponding data identifier; obtaining the remaining expiration time of the data identifier to determine the current remaining time of the data identifier; and updating the local window lock of the data identifier based on the current remaining time; responding to a successful update of the local window lock; reporting the access parameters associated with the data identifier to a caching system; and responding to a triggering of a popularity acquisition task; obtaining the access popularity of each stored data from a preset caching system. This embodiment can solve the problem that analyzing client access data through a server requires establishing an independent server, resulting in high operational complexity and resource consumption.

This invention relates to the field of business process automation technology, providing a method and system for business process learning and automated execution using an adaptive simulation engine. The method acquires operation behavior sequences, interface state changes, and rule document data; performs stage division and establishes mapping relationships to generate a structured process representation; determines the target execution branch based on matching current state parameters with triggering conditions; achieves cross-system interaction and data transfer; and optimizes execution strategies by extracting performance indicators and anomaly features from execution records. This invention enables intelligent learning and automatic optimization of business processes, improving system operating efficiency and reducing cross-system operational complexity.

This application relates to a distributed system processing method, apparatus, electronic device, and storage medium. The method includes: responding to a swimlane configuration request, generating a corresponding data processing instruction and sending it to a database management system, so that the database management system creates a swimlane shadow table with the same structure as the online table according to the data processing instruction, copies a specified range of target data from the corresponding online table to the swimlane shadow table, and returns; when a database access request carrying a swimlane identifier is received, rewriting the online table name in the SQL statement to the corresponding shadow table name according to the swimlane configuration rules, and routing the rewritten SQL request to the swimlane shadow table. This enables the database management system to create a swimlane shadow table with the same structure as the online table and copy a specified range of target data from the corresponding online table to the swimlane shadow table, without manual intervention in database table structure creation and data migration, greatly reducing operational complexity and improving configuration efficiency.

This application provides a pre-verification method and a computing device, applied to a computing device. The method includes: obtaining a verification request; the verification request is used to verify whether a first scenario has the preconditions for executing a business process; determining the first configuration information corresponding to the first scenario in a rule set configuration file based on the scenario identifier of the first scenario in the verification request; the rule set configuration file includes multiple scenario identifiers and configuration information corresponding to each scenario identifier; the first configuration information is used to indicate verification rules, data resource information on which the verification rules depend, and a result display template; obtaining object data on which the verification rules depend based on the data resource information; determining the verification result corresponding to the verification request based on the verification rules and the object data, and generating a result display interface based on the verification result and the result display template; the result display interface is used to display the verification result. This method helps reduce the operational complexity of the pre-verification process.

Disclosed in the present application are a wafer polishing method and apparatus, a device, and a storage medium. The present application allows for accurate monitoring of wear of grinding wheels, has a simple and rapid operation process, and does not need other expensive specialized measurement instruments, reducing dependence on specialized devices and operators, reducing the operational complexity and measurement costs, reducing time waste caused by complicated measurement and computation processes, and solving the technical problems in the prior art of low accuracy and long time consumption during wear detection of grinding wheels.

The invention discloses a method, a system, equipment and a medium for sensing collection and transportation collaborative operation, and relates to the technical field of agricultural machinery, and the method comprises the steps: calling a slave machine based on the grain state of a granary on a host; acquiring position information of the host and the slave by using a navigation receiver, determining an accurate position of the grain unloading port through coordinate transformation, and calculating a longitudinal distance error and a transverse distance error between the grain unloading port and the slave; comparing the longitudinal distance error and the transverse distance error with a preset threshold value to obtain a comparison result; and judging whether the grain unloading port is located in an executable grain unloading area of the slave according to a comparison result, and controlling a grain unloading execution mechanism to unload grains or not. According to the invention, granary state automatic sensing and slave calling can be realized, and the working efficiency is improved; the grain unloading accuracy is improved, and grain scattering is avoided; automatic control over the grain unloading process is achieved, operation complexity is reduced, labor intensity is relieved, and the intelligent level is improved.

The invention discloses a componentized application access control implementation method, device and equipment and a storage medium, and the method comprises the steps: packaging a development access control function into a SpringBoot-based access control component, and deploying the access control component; introducing the access control component through a dependency management tool, and configuring an access control rule; when it is detected that a user accesses the application system, intercepting a user access request through the access control assembly and performing control according to the access control rule; the method can support the combination of a plurality of control rules at the same time, meets the diversified demands of business development, achieves flexible, efficient and easy-to-maintain access control, thoroughly eliminates the repeated investment of traditional customized development, is finer in control granularity through modular design, can achieve the more flexible access control of an access object, and improves the access control efficiency. And the implementation cost and the operation and maintenance complexity are obviously reduced.

The invention relates to the field of computing power management, in particular to a computing power resource management system and method based on multi-platform fusion, and the system comprises a heterogeneous cooperation module, a computing power task module, a scheduling processing module, a node selection module and a quality sensing module. The computing power task module is used for processing a task application, the scheduling processing module is used for aggregating available resources and determining a task execution sequence, the node selection module is used for constructing a data transmission path, and the quality sensing module is used for sensing resource state information and performing load balancing management. The method improves the utilization rate of all computing power devices, reduces the operation and maintenance complexity, enhances the flexibility of computing power networking, optimizes the computing power allocation performance, flexibly adapts to the task requirements of different users, improves the reliability and fault-tolerant capability of computing power scheduling, and improves the stability and reliability of a computer system.

The invention relates to a user management method for hybrid deployment of an RTOS (Real Time Operating System) end operating system, which comprises the following steps of: dividing a high 32-bit user existence area and a low 32-bit permission area based on a 64-bit unsigned long shaping storage unit, defining a coding rule, configuring an initial state, and finishing user creation and group permission configuration through an instruction. And finally, realizing resource access control through user existence verification, Hash binding verification and permission analysis. Compared with a traditional scheme, the method has the advantages that the memory occupation is greatly saved, the CPU overhead is reduced, the real-time response performance of the system is improved, meanwhile, fine-grained permission control is realized, and the operation complexity is reduced.

System and methods are disclosed for providing unforgeable telemetry on computer platforms. Mathematical modeling and theorem proving are utilized to guarantee the integrity of telemetry probe execution flow and trigger, thereby preventing circumvention and tampering of logged probe data. In contrast to current state-of-the-art solutions that rely implicitly on the operating environment, this approach provides a sound and complete assurance of telemetry output. The system enables organizations to map unforgeable telemetry probe data to industry and government cybersecurity regulatory controls, ensuring compliance therewith. This invention addresses the shortcomings of existing solutions, including their vulnerability to sophisticated attacks, operational complexity, and inability to provide unforgeable telemetry data, thereby providing a reliable and accurate monitoring output in the presence of cyberattacks on computer platforms.

The invention discloses a redundant PLC system for controlling a special crane and a control method, and belongs to the technical field of industrial automation control, the redundant PLC system comprises a redundant power supply module, a PLC control module, a redundant communication module, an input and output module, a safety monitoring module and an execution mechanism, the PLC control module comprises a master PLC control unit and a slave PLC control unit, through the arrangement of the slave PLC control unit, the risk of single-point failure in the use process of the crane is reduced, when the master PLC control unit breaks down, the control right is taken over in time, so that the continuous and stable operation of the crane is ensured, the PLC system is used as a standby system, the system architecture, the control strategy, the operation complexity and the application field are the same, and the control cost is reduced. The reaction time can be effectively shortened, so that the downtime of the crane is reduced, after the standby system is started, the operation logic is not changed, and an operator can control the crane to work and monitor the working state of the crane easily.

The invention discloses a global track identity management method and device for roadside multi-sensor collaborative awareness, and relates to the technical field of target tracking, and the method comprises the steps: monitoring a target through a thunder-vision all-in-one machine, and generating a track corresponding to the target; when it is detected that two tracks monitored by different Leiyu all-in-one machines belong to the same target and need to be associated, a root node query function is adopted to check whether the two tracks have association conflicts, if the association conflicts exist, the association conflicts are dynamically adjusted, looked up and eliminated, and if the association conflicts do not exist, the association conflicts do not exist; if yes, associating the two tracks belonging to the same target; and for the two tracks of which the association conflict is eliminated, searching and searching sets, determining timestamps of root identities corresponding to the two tracks, taking the root identity corresponding to the timestamp with a small numerical value as the identity of the associated track, merging the tracks corresponding to the timestamp with a large numerical value into the track corresponding to the timestamp with a small numerical value, and carrying out association. The operation complexity can be remarkably reduced, and the system operation efficiency can be improved.

This application discloses a hard disk fault prediction method, electronic device, and storage medium, relating to the field of storage technology. The method includes collecting hard disk operating status data and environmental data; normalizing the operating status data using the normalization layer of a feature extraction model to generate feature vectors; extracting features from the feature vectors using the feature layer of the feature extraction model to output time-series features; and determining the weight coefficients of the attention layer in the fault prediction model to output the predicted fault probability, predicted fault level, and predicted fault type of the hard disk. This method addresses the technical problems of high cost and false alarm rate, difficulty in meeting the needs of large-scale hard disk management, insufficient consideration of environmental factors, inability to meet actual operational needs, and high operational complexity. It achieves the technical effects of eliminating management difficulties caused by protocol differences, fully considering the impact of environmental factors on hard disk health, improving prediction accuracy, reducing false alarm rate, and improving operational efficiency.

System and methods are disclosed for providing unforgeable telemetry on computer platforms. Mathematical modeling and theorem proving are utilized to guarantee the integrity of telemetry probe execution flow and trigger, thereby preventing circumvention and tampering of logged probe data. In contrast to current state-of-the-art solutions that rely implicitly on the operating environment, this approach provides a sound and complete assurance of telemetry output. The system enables organizations to map unforgeable telemetry probe data to industry and government cybersecurity regulatory controls, ensuring compliance therewith. This invention addresses the shortcomings of existing solutions, including their vulnerability to sophisticated attacks, operational complexity, and inability to provide unforgeable telemetry data, thereby providing a reliable and accurate monitoring output in the presence of cyberattacks on computer platforms.

This invention belongs to the field of software refactoring and serverless computing technology, specifically relating to a fine-grained service decomposition and dynamic deployment method for object-oriented applications in edge environments. By constructing a method call graph through static analysis, and for the first time applying a hybrid heuristic algorithm combining particle swarm optimization and genetic operators to this graph partitioning problem, it can intelligently find a decomposition scheme that minimizes cross-function communication overhead while satisfying the limited resource constraints of edge nodes. This fundamentally solves the contradiction between computing resources and communication latency that traditional decomposition methods struggle to balance. Furthermore, by introducing Function-as-a-Service (FaaS) proxies and wrappers, it achieves automated refactoring of the original object-oriented code, enabling seamless migration of tightly coupled local calls to a distributed FaaS environment. This significantly reduces the technical threshold and operational complexity of application migration, achieving fine-grained resource utilization and elastic scaling.

The embodiment of the invention discloses a teleoperation method and related equipment, which are used for performing teleoperation under the condition of reducing calculation burden and operation complexity. The method comprises the steps that the first pose of the tail end of a control arm at each moment and the second pose of the tail end of a controlled arm at each moment are obtained in real time, and the current first pose variable quantity corresponding to the current moment of the tail end of the control arm is determined based on the first pose at each moment, and obtaining a target pose of the tail end of the controlled arm at the current moment based on the current first pose variable quantity and a second pose of the tail end of the controlled arm at the last moment of the current moment, determining target motion information of each joint of the controlled arm based on the target pose, and controlling the controlled arm to move based on the target motion information.

This application provides a method, apparatus, electronic device, and storage medium for distributed storage collaborative optimization, relating to the field of computer storage technology. It utilizes a disk array controller to configure multiple physical hard drives within a storage node as virtual disks, then maps these virtual disks to logical volumes of a distributed storage system. Based on these logical volumes, a multi-replica redundancy strategy is employed to construct dual redundancy protection. When a single physical hard drive in the virtual disk experiences a slow disk or fails, the disk array controller initiates and executes a data reconstruction operation within the storage node. Therefore, it can solve problems in existing technologies such as large-scale data reconstruction triggered by single-disk failures due to the reliance on multi-replica redundancy mechanisms in traditional distributed storage, a surge in disk I / O pressure, high operational complexity, a contradiction between performance and reliability, and low fault handling efficiency caused by the immaturity of hardware RAID and distributed storage collaborative optimization.

This invention relates to the field of computing power management, specifically to a computing power resource management system and method based on multi-platform integration. The system includes a heterogeneous collaboration module, a computing power task module, a scheduling and processing module, a node selection module, and a quality sensing module. The heterogeneous collaboration module is used for computing power node adaptation and unifying computing power costs. The computing power task module is used for processing task requests. The scheduling and processing module is used for aggregating available resources and determining the task execution order. The node selection module is used for constructing data transmission paths. The quality sensing module is used for sensing resource status information and performing load balancing management. This invention can avoid overload and idleness of computing power equipment, improve the utilization rate of all computing power equipment, reduce operational complexity, enhance the flexibility of computing power networking, optimize computing power allocation performance, flexibly adapt to the task requirements of different users, improve the reliability and fault tolerance of computing power scheduling, and enhance the stability and reliability of computer systems.

The invention provides a content generation method and device, electronic equipment and a storage medium, and relates to the technical field of content creation and multimedia generation, in particular to the technical field of multi-modal content generation and editing. The method comprises the steps of obtaining a creation instruction input by a user; analyzing the creation instruction to identify a creation intention and creation materials contained in the creation instruction; processing the creation material according to the creation intention to construct a visual node graph; and if an editing instruction of a user to a specified node in the node graph is received, updating the content of the specified node according to the editing instruction, synchronizing the updated content to the specified node, and keeping the graph structure of the node graph unchanged. According to the method and the device, through accurate analysis and efficient processing of the creation instruction, the structured management and consistency maintenance of the creation content are improved, so that the continuity and consistency of the content generated in the creation process are improved, the operation complexity of a user is reduced, and the user experience is further improved.

The present disclosure provides a kind of based on reinforcement learning's spare part selection control method, belong to intelligent manufacturing technical field.The method is by constructing the structured feature set of spare part, based on KNN algorithm and decision tree algorithm, automatically realize the screening and accurate matching of terminal model and seal, greatly reduce the artificial intervention under traditional experience rule, improve the efficiency and accuracy of spare part selection.At the same time, introduce abnormal plating detection and preset matching rule set self-update mechanism, the abnormal plating data found in selection is automatically fed back to matching rule base, realizes the dynamic closed-loop optimization of matching strategy.Compared with the traditional one-time matching rule set or the way that needs to be manually adjusted by R&D personnel, it can respond to supplier data changes and actual application scenario dynamic changes in real time, reduce the operation complexity and error risk, continuously improve the selection accuracy and system robustness, reduce the R&D and production cost, meet the complex and changeable automobile wiring harness manufacturing scene demand.

The application discloses a natural language driven situation awareness control method and system based on task intention, and a medium; relates to the field of artificial intelligence and man-machine interaction technology; generates a natural language template library and a task intention field table based on three-table knowledge; and constructs an interface-data double-mapping knowledge graph by taking the three-table knowledge as a construction basis, the natural language template library and the task intention field table as retrieval and rearrangement tools, then performs semantic retrieval and reference resolution to generate structured intention data; under the premise of not depending on a fixed layout, parses user instructions into task intentions, realizes stable anchoring of interface objects by adopting semantic positioning, and automatically compiles the task intentions into system API calls or interface event sequences; meanwhile, the availability and compliance of execution are guaranteed through a trusted execution scoring and a closed-loop mechanism of minimizing clarification, so that the operation complexity is effectively reduced, and the response efficiency and intelligent interaction level of the situation awareness system are improved.

This invention provides a method and system for evaluating industrial visual defect detection models based on dynamic configuration and asynchronous processing. The method receives the model file path and dataset root path input by the user; a dynamic configuration generation module parses the dataset root path, reads the category definition file, and serializes the parameter configuration dictionary into a temporary YAML configuration file; an asynchronous task processing module starts a background worker thread based on QThread for evaluation; progress and log information are sent to the main thread of the graphical user interface in real time; a visualization result image is generated and packaged into a result path dictionary; the corresponding image is loaded and displayed. This invention can improve evaluation efficiency and significantly reduce operational complexity and technical barriers, enabling the evaluation of high-performance, highly automated, responsive, and robust industrial visual defect detection models.