33 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 natural language driven situation awareness control method and system based on task intention and a medium. Relates to the technical field of artificial intelligence and man-machine interaction. Generating a natural language template library and a task intention field table based on the three-table knowledge; constructing an interface-data double-mapping knowledge graph by taking three-table knowledge as a construction basis and taking a natural language template library and a task intention field table as retrieval rearrangement tools, and then performing semantic retrieval and anaphora resolution to generate structured intention data; on the premise of not depending on a fixed layout, a user instruction is analyzed into a task intention, stable anchoring of an interface object is achieved through semantic positioning, and the task intention is automatically compiled into a system API call or interface event sequence; and meanwhile, the availability and compliance of execution are guaranteed through a closed-loop mechanism of credible execution scoring and minimization clarification, so that the operation complexity is effectively reduced, and the response efficiency and intelligent interaction level of the situation awareness system are 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 provides a front-line operator performance assessment method and device, electronic equipment and a storage medium, and relates to the technical field of performance assessment. The method comprises the following steps: acquiring performance data and assessment index documents of front-line operators in a historical period of time; performing performance calculation on the operation complexity, the operation efficiency and the completion rate to obtain a first performance score; calculating data distribution of operation complexity, operation efficiency and completion rate, and performing tolerance calculation according to the data distribution to obtain a first tolerance interval; according to the performance data and the assessment index document, searching to obtain an associated assessment index; and adjusting the first tolerance interval according to the associated assessment index to obtain a second tolerance interval, and when the operation complexity, the operation efficiency and the completion rate are not in the second tolerance interval, adjusting the first performance score by using the compensation factor according to the exceeding interval to obtain a second performance score, and obtaining a performance assessment result based on the second performance score. The accuracy of performance assessment can be improved.

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.

This invention relates to the field of computer technology, specifically to a method, apparatus, device, and medium for switching extended device topologies. The embodiments of this application completely revolutionize the manual topology switching mode through a fully automated process and flexible hardware configuration. Users only need to trigger a request, and the system can automatically complete driver flashing, interface status updates, and topology switching, eliminating the need for manual disassembly and assembly of equipment and cable adjustments, greatly reducing operational complexity and minimizing manpower and time costs. The switch board supports dynamic port connections, and combined with precise control of registers and drivers, it avoids the risks of errors that can occur with manual wiring. Simultaneously, the new topology is automatically applied after a server restart, avoiding switching failures due to manual operation errors, significantly improving development efficiency, reducing additional development costs caused by topology switching failures, and achieving efficient switching of server peripheral topologies.

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 application discloses an automatic boring control system for automobile parts, and relates to the technical field of machining equipment control.The application solves the technical problems of insufficient automation, lack of intelligent fault diagnosis and early warning function, and unfriendly man-machine interaction interface; through a workpiece state monitoring module and an intelligent parameter adjustment module, workpiece appearance and machining data are collected and analyzed in real time, the feed speed, cutting depth and spindle speed are automatically adjusted, the machining precision is effectively improved, and the production error is reduced; a fault diagnosis and early warning module is combined with a fault mode library, potential faults such as machine tool vibration, tool wear and workpiece deformation are identified in real time, and an alarm and cutting parameters are automatically triggered, so that the equipment fault risk and production loss are reduced; a man-machine interaction feedback module reduces the operation complexity, improves the universality and ease of use of the system, enhances the adaptability of the system among different operators, and further promotes the popularization and application of the system.

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.

This application provides a method, apparatus, equipment, and storage medium for semi-automatic block signaling in railway dispatching. The method includes: acquiring a route instruction and determining the instruction status corresponding to the route instruction; determining the block status corresponding to the route instruction when the instruction status does not meet preset conditions; generating a target block command corresponding to the block status and sending the target block command to the target interlocking system so that the target interlocking system executes the target block command; and sending a route arrangement command corresponding to the route instruction to the target interlocking system when the instruction status of the route instruction does not meet preset conditions. This application determines the block status corresponding to the route instruction when the instruction status of the route instruction does not meet preset conditions and automatically generates and issues the corresponding target block command. This enables automated processing of semi-automatic block signaling under centralized control mode of railway dispatching, eliminating the need for manual operation, reducing operational complexity and error risk, and improving work efficiency.

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.

The invention provides a power distribution terminal protection logic function detection system, which relates to the technical field of power distribution terminals and is characterized in that a fault data generation module is embedded in a software architecture in a power distribution terminal, a fault scene is simulated by using existing hardware resources, and fault data is generated and provided for a protection logic function module for testing. By optimizing software architecture and parameter configuration, quick verification of a protection logic function is realized, and a test operation process is simplified through a user interface. Besides, the method also has flexible test mode selection, can adjust the test range and depth according to actual demands, and ensures the safety and reliability of the test. The test cost and the operation complexity are remarkably reduced, the test efficiency is improved, and the method is particularly suitable for field test and equipment maintenance scenes and has important practical application value.

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.

A method for testing a POS machine is applied to the test terminal and includes: obtaining sample data of a magnetic track; outputting a first test level according to the sample data of the magnetic track and generating a magnetic field that varies over time according to the first test level; and obtaining a first operation result generated by a POS machine under test and obtaining a test result of whether the POS machine under test can perform a card swiping operation normally according to the first operation result. The first operation result is an operation result which is generated by the POS machine under test according to an electromagnetic induction effect generated according to the magnetic field that varies over time. By performing the method, operational complexity of testing of the POS machine can be reduced, and the efficiency of testing of the POS machine can be improved.

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 invention provides a part type selection control method based on reinforcement learning, and belongs to the technical field of intelligent manufacturing. According to the method, the structural feature set of the part is constructed, screening and accurate matching of the terminal model and the sealing element are automatically achieved based on the KNN algorithm and the decision tree algorithm, manual intervention under traditional empirical rules is greatly reduced, and the part model selection efficiency and accuracy are improved. Meanwhile, an abnormal plating layer detection and preset matching rule set self-updating mechanism is introduced, abnormal plating layer data found in model selection are automatically fed back to a matching rule base, and dynamic closed-loop optimization of a matching strategy is achieved. Compared with a traditional one-time rule set matching mode or a mode needing manual adjustment of research and development personnel, supplier data changes and actual application scene dynamic changes can be responded in real time, the operation complexity and the error risk are reduced, the model selection accuracy and the system robustness are continuously improved, the research and development and production cost is reduced, and the development and production efficiency is improved. And the requirements of complex and changeable automobile wire harness manufacturing scenes are met.

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.