42 results about "Process state" patented technology

The invention discloses a cooperative control system and method for multi-process processing of a PCB (Printed Circuit Board). Multi-source process data of each process is collected, a process state baseline is formed through mutual verification of redundant sensors, process drift characteristics are examined and identified based on process capability, a process reference library is constructed in a layered manner by adopting a dynamic threshold value, and a generated process deviation parameter is detected; performing correlation analysis on adjacent processes to determine a transfer coupling degree, positioning a defect transfer link through bidirectional verification combining forward tracking and reverse backtracking, and cascading and accumulating process deviation parameters along the link to form a process incidence matrix; carrying out backtracking on defect diffusion to determine a sweep range, generating process state parameters according to the sweep range, and extracting trend turning characteristics to construct a process characteristic spectrum; defect amplification factors are extracted through sensitivity decoupling, process critical nodes are identified, a regulation and control rule base is constructed, process characteristic chromatograms are integrated, and process control instructions are output, so that defect source positioning and propagation path tracking are realized.

The invention discloses a low-code platform design system based on modularization and a dynamic extension component, and relates to the technical field of low-code development, and the system comprises a form module which is used for standardly defining a data model and dynamically rendering a user interface, realizing unification of form configuration through a structured metadata specification, and establishing a form module; bidirectional binding of the view and the data model is realized; the process module is used for realizing modeling, execution and state management of a business process, supporting automatic task scheduling and multi-instance management based on standardized process elements, and keeping consistency of a process state through an increment synchronization mechanism; and the data processing module is used for cooperatively managing platform data resources, supporting dynamic expansion and decoupling dependence between the form module and the process module through an event-driven mechanism. According to the method, the strong binding relationship between the decoupling form and the process is established, the reusability of the process module is improved, and the process module is independent of the form and can independently provide API service to the outside, so that the method is adaptive to more business scenes.

The invention discloses an authority management system of interactive equipment, particularly relates to the field of computer authority management, is used for solving the problem that an interface state is disjointed from an authority decision, and is characterized in that a time mark acquisition module is used for acquiring a role context, a process state and an interface operable item on a unified timeline to generate a context snapshot and writing the context snapshot into a time anchor point; the contract construction module establishes interface contracts based on context snapshots to perform homologous binding to form a constraint set, and the mapping evidence solidification module generates permission mapping table expansion constraints in a rendering stage and writes behavior evidence chain solidification presentation basis. The judgment evaluation module calculates a judgment credibility coefficient according to a time anchor point alignment operation event and an approval record to execute local judgment or record through generating a judgment record; and the version revision module executes a minimum change revision mark change on an interface contract according to the judgment record and releases a new permission mapping table to recycle an old version to form a reviewable sequence.

The invention relates to the technical field of informatization, in particular to a workflow engine implementation method based on event traceability and decentralized monitoring, which is based on the design of recording node operation and deducing a process state on the basis of an immutable event sequence, thoroughly relieves the constraint of traditional state table storage on dynamic adjustment, and improves the working efficiency. Operation such as node insertion, skipping or rollback can take effect in real time through runtime metadata reconstruction, meanwhile, a completely stored operation event chain naturally supports full-process audit tracing, and a log system does not need to be additionally developed; a power proportion algorithm decomposes distributed node decisions into three layers of logics of role allocation, predefined result verification and secondary monitoring triggering, cross-service consistency is guaranteed through a post weight adjustment and historical behavior voting dual mechanism, and an online voting mechanism dynamically calculates and processes human weights by using event logs, so that the decision accuracy is improved. Therefore, the technical bottlenecks of rigidity, redundancy and weak consistency of the traditional scheme are overcome.

The invention provides a DFT process monitoring method and device, electronic equipment and a storage medium, and belongs to the technical field of DFTs. The DFT process monitoring method comprises the steps that in response to monitoring that execution of a current test task is finished, a process state and a current log file generated in the process of executing the current test task are obtained; determining a target predefined analysis rule corresponding to the type of the EDA tool adopted for executing the current test task through a mapping relation between the type of the EDA tool and the predefined analysis rule; analyzing the current log file through a target predefined analysis rule to obtain semantic keywords; and determining a final execution state of the current test task based on the process state and the semantic keyword. According to the scheme, massive unstructured log files generated by different EDA tools can be analyzed, and the final execution state of each test task can be determined.

The invention discloses a standardized work management system for a standard system revision project, and the system comprises a heterogeneous data fusion module which captures the multi-modal process data of each stage in real time, and converts the multi-modal process data into a process state vector sequence; a time sequence constraint graph rule base is built in the compliance graph calculation module, a process state graph with time sequence attributes is constructed, and the multi-dimensional compliance deviation degree is calculated through graph mode matching; the strategy generation and conflict resolution module is used for generating a candidate set with a weight adjustment instruction through a learnable strategy priority ranking model based on the deviation degree and resolving logic conflicts; and the trusted execution and feedback closed loop module atomizes an execution instruction and carries out uplink evidence storage, and collects project response data to update rule base parameters and model weights online. According to the method, automatic and accurate compliance evaluation is realized through graph calculation, self-evolution of the system is realized through intelligent strategy generation and credible execution feedback, and the management efficiency, compliance and intelligent level are comprehensively improved.

The invention provides a task processing method and a robot, the robot comprises a classifier, a task machine and a process state machine, the method comprises the following steps: the classifier determines whether a target task is a process task, if yes, task information corresponding to the target task is sent to the task machine, if not, a task type corresponding to the target task is determined, and the task type corresponding to the target task is sent to the task machine; and sending task information corresponding to the target task to a process state machine according to the task type. The task machine preprocesses the task information to enable the task information to meet task execution requirements corresponding to the process task, and then sends the task information to the process state machine; and after receiving the task information, the process state machine executes a task process corresponding to the target task. The target task is an intelligent agent task sent by a large language model corresponding to the robot, and the process task is a task comprising a plurality of different types of tasks. Therefore, the intelligent agent task can be better processed by the robot, the performance of the robot is improved, and the software development and maintenance cost of the robot is reduced.

The embodiment of the invention discloses a computer cluster parallel processing method for a reverse time migration program, which comprises the following steps that: a main node carries out parallel processing according to a list file containing to-be-processed shot information in a global disk, a flag file in a first global file directory and a flag file in a second global file directory; determining a specified gun and distributing a gun data processing task corresponding to the specified gun to the computing node; the first global file directory is used for storing mark files of shots which are subjected to reverse time migration processing on each computing node, and the second global file directory is used for storing mark files of shots which are subjected to reverse time migration processing on each computing node; and the computing node responds to the received shot data processing task, calls a single-shot reverse time migration program to execute reverse time migration processing for the corresponding specified shot, and updates the flag file in the first global file directory and / or the second global file directory according to the processing state. In this way, the processing efficiency of the multi-shot reverse time migration task can be improved.

A distributed control system includes low-level controllers interacting with field devices, a high-level controller providing instructions, a human-machine interface that receives an input from a user transmits it to the high-level controller, receive from the high-level controller state information of the process, and display this state information to the user; first and second instances of backend software that are communicatively coupled to the high-level controller, first and second instances of frontend software running on respective client devices of the plant, and a software manager that indicates to each client device which version of frontend software is available for the client device, wherein the first instance of frontend software interfaces with the version of the first instance of backend software, and the second instance of frontend software interfaces with the version of the second instance of backend software.

This invention discloses a composite sequence forced and logical association control method, system, and electronic device for die-casting machines, relating to the field of die-casting machine testing technology. The invention collects multi-source operating data from the die-casting machine and, based on this data and pre-set process rules, determines the process state of the die-casting machine. It acquires a pre-stored forced test sequence and generates corresponding test instructions. The forced test sequence includes trigger conditions and forced steps arranged in a logical order. During the operation of the die-casting machine, it monitors in real time whether the trigger conditions are met. If met, the test instructions are executed according to the timing logic of the forced steps. Simultaneously, it continuously monitors the process state and die-casting machine safety parameters, and controls the interruption and reset of the test instructions based on the monitoring results. This method supports repeatable and safe simulation and verification of complex operating conditions or occasional faults, improving the testing efficiency of the die-casting machine control system.

Provided in the present disclosure are a method for determining the process state of an object, and a related device. The object comprises a plurality of process nodes. The method comprises: in response to the state(s) of one or more process nodes having changed, acquiring one or more state computation rules corresponding to an object; in response to the one or more state computation rules being hit, determining the process state of the object on the basis of the one or more hit state computation rules; in response to none of the one or more state computation rules being hit, determining one or more ongoing process nodes among the plurality of process nodes; in response to the one or more ongoing process nodes having one or more affiliated states, determining the process state of the object on the basis of the one or more affiliated states; and in response to none of the one or more ongoing process nodes having an affiliated state, determining the process state of the object on the basis of state circulation events of the plurality of process nodes.

The embodiment of the invention provides an intelligent router and a process starting method, and the method can respond to a starting instruction, start a to-be-started process in parallel, and write a process identifier of the to-be-started process into a process state table. And executing the service code of the process to be started. And when the to-be-started process reaches the target state point, setting a first state mask of the target state point in the process state table, and querying a dependency state point of the target state point in the process state table according to the dependency relationship table. If the process state table is provided with the second state mask depending on the state point, continuing to execute the service code of the to-be-started process; and otherwise, pausing execution of the business code of the to-be-started process so as to execute the business code of the to-be-started process according to the process state table and the second state mask. According to the method, the dependency granularity among the processes is reduced by setting the state points, all the to-be-started tasks can be processed in parallel, and then the process starting efficiency is improved.

Systems, methods, and computer-readable media are provided for storing a snapshot of an interactive node graph. A data management system generates an interactive node graph having nodes that represent process states and edges representing connections between process states.The data management system uses a first live metric for determining aggregated node values and a second live metric to use for determining aggregated edge values. Based at least in part on a selection of an option to save the interactive node graph, the data management system stores a snapshot. The snapshot includes the aggregated node values based on the first live metric as of a particular time, the aggregated edge values based on the second live metric as of the particular time, a first mapping between the first live metric and the nodes, and a second mapping between the second live metric and the edges. The stored snapshot is loadable without access to the first live metric and the second live metric to display the interactive node graph.

The application discloses a kind of robot path planning coordination scheduling methods based on process control, it is related to robot control technical field, including, the process state data of robot is collected, process state data is associated mapping, constructs process control state table, and according to the process phase sequence and passage control unit table of each task corresponding station supply relationship and beat guarantee demand division process phase;According to process control state table, process phase sequence and passage control unit table, the occupation relationship of each passage control unit corresponding passage node is identified, establishes each process control token corresponding to passage control unit, and generates the application order of each process control token according to the beat guarantee demand corresponding to each process phase, obtains candidate passage order and to be released path sequence.The application is divided into process phase by collecting process state data and combining station supply relationship, beat guarantee demand, realizes the unity association of path planning and process control constraint.

The invention discloses a method and a system for automatically generating a state sequence script based on an improved algorithm, and the method and the system are used for automatically generating the state sequence script in an XML (Extensible Markup Language) format as a test case for automatic testing. The matching priority of the state nodes is evaluated by defining a heuristic function, so that the matching process of the state nodes is optimized; a state transition path optimization step: adopting a dynamic programming algorithm to calculate an optimal solution of a state transition path by constructing a state transition cost matrix and applying a recursion formula so as to optimize the selection of the state transition path; and a step of generating a state sequence script in an XML format, namely automatically generating the state sequence script conforming to the XML format according to the optimized state conversion path matching result. The test case generated by the method is more accurate and comprehensive, and the test quality can be improved.

The invention provides a pump body installation scheduling management method based on process optimization, and relates to the technical field of data processing, and the method comprises the steps: obtaining basic scheduling data of pump body installation, identifying a preposition relation and a subsequent relation between processes, extracting a state change node of each process, carrying out the statistics of the distribution condition of the state change node in unit time, and carrying out the scheduling management of the pump body installation. Calculating the concentration degree of the process state change in the time dimension to obtain a state aggregation index, depicting a change fluctuation relationship between adjacent processes, calculating the state instability degree of the processes in the execution process to obtain a process fluctuation value, dividing each process into a plurality of fluctuation sections, and calculating the matching degree between the candidate process sequence and the process associated data to obtain a sequence coordination quantity, and replacing the process sequence data in the basic scheduling data to obtain updated scheduling data. According to the method, it can be guaranteed that the pump body can be stably installed in the dynamic execution environment when the procedure goes wrong.

The invention discloses a process state monitoring method, device and equipment based on kernel instrumentation and a medium, and relates to the technical field of process state monitoring, and the method comprises the following steps: analyzing a command line parameter input by a user to obtain a to-be-monitored process number, and writing the to-be-monitored process number into an eBPF map; adding and loading a registration process probe in a kernel; and registering an annular buffer area through a user mode program, transmitting an eBPF map to read process change information in the annular buffer area, analyzing the process change information by using a callback function to generate a process monitoring log, and giving an alarm. A probe is arranged in a kernel instrumentation through an eBPF to obtain a jump point of a process state and collect process change information, then low-delay data collection is achieved through an annular buffer area, process state changes can be responded in real time with microsecond-level precision, the method can be used for a high-frequency and real-time monitoring environment, the key state jump point causing process abnormity is accurately positioned, and the stability of the system is improved. And the kernel module does not need to be recompiled and loaded, so that the process monitoring stability and reliability are improved.

The invention provides an intelligent log control method and system, a computer and a storage medium. The method comprises the following steps: analyzing a text log and monitoring process state data; dynamically constructing a knowledge graph, and based on the knowledge graph, matching the current log event and the process state to a corresponding predefined operation instruction to generate a candidate instruction set; and calculating a priority score of each instruction in the candidate instruction set based on the node association strength and the real-time resource state of the knowledge graph, so as to sort the candidate instruction set and output the sorted candidate instruction set to an instruction execution engine. Multi-dimensional logs and state data are fused through a dynamic knowledge graph, context awareness and global optimization of instruction decisions are achieved, and misinformation and resource conflicts caused by isolated judgment in a traditional method are effectively avoided; a self-adaptive adjustment mechanism based on efficiency feedback is introduced, so that the system can continuously optimize an instruction priority strategy, the accuracy and efficiency of operation and maintenance response are remarkably improved, the manual intervention cost is finally reduced, and the system stability is guaranteed.

The embodiment of the invention discloses a process state storage and recovery method and system, electronic equipment and a storage medium, relates to the technical field of computers, and facilitates complete storage and accurate recovery of process states including remote direct memory access resources. The method comprises the following steps: in a process storage stage, closing remote direct memory access resources of a target process so as to convert the target process into a degradation process, and storing running state information of the degradation process; based on the stored operation state information of the degradation process, recovering the degradation process; opening a remote direct memory access resource, so that the recovered degradation process is converted into a target process containing the remote direct memory access resource; and unfreezing the target process so that the target process continues to be executed from the storage point.

The application discloses a kind of based on multi-version management's work order production scheduling method, device and storage medium, by creating and formal production scheduling environment isolated storage draft version, make planner free to simulate production scheduling under the premise of not affecting actual production, avoid the covering of formal plan by misoperation, realize the parallel storage and independent adjustment of multiple schemes;By generating operation instruction object containing pre-adjustment state and post-adjustment state, and based on withdrawal or recovery instruction, respectively according to pre-adjustment state or post-adjustment state update gantt chart display and back or recovery process state, reversible adjustment of single operation is realized, the consistency of interface display and back-end process state is ensured;By publishing satisfactory draft version as formal production scheduling plan, the smooth transition from simulation scheme to production execution is realized.

The invention belongs to the field of research and development, and relates to a process state determination method which comprises the following steps: acquiring a continuous space of a target size in a memory of a target operating system; based on the continuous space, an annular buffer area is constructed, and the logic organization structure of the annular buffer area is a circular queue; redirecting the output stream of the target process to the annular buffer area so as to continuously and circularly cover and write the output data of the target process into the annular buffer area; when a preset time interval is reached, acquiring newly written output data from the annular buffer area; and performing state judgment on the newly written output data, and determining the running state of the target process in the target time period. The invention further provides a device, equipment and a medium. The method can be applied to the business fields of financial science and technology, medical treatment and the like, and process state detection efficiency can be improved.

The application discloses a jitter detection method for a key task process in an operating system, and comprises the following steps: sending a starting signal to each process state parameter monitoring module in a kernel layer by a jitter detection module in a user layer during operating system running; wherein each process state parameter monitoring module is a monitoring module for process state data of a corresponding category; collecting process state data of a corresponding category by each process state parameter monitoring module, and screening target process state data corresponding to a key task process from the collected initial process state data; and performing jitter detection on the key task process according to the target process state data by the jitter detection module. The application greatly reduces time consumption and complexity, and improves the efficiency and accuracy of the analysis of the causes of task process jitter. The application also discloses a device, equipment and storage medium, which have corresponding technical effects.

The invention provides an intelligent wafer process monitoring and wafer box protection method, which comprises the following steps of: cooperatively judging whether a wafer box is correctly placed at a loading port by utilizing a plurality of hardware sensors, and monitoring the state of the wafer box through software logic to ensure that the wafer box is placed in place; monitoring the technological process state of the wafer in real time through software, recording historical data of each wafer, storing the historical data in a database, and judging whether the technological process of the wafer is completed or not; and displaying the technological process historical record of the wafer and the state of the wafer box through a human-computer interaction interface. On the basis that hardware does not need to be modified, judgment is carried out only by modifying software control logic and combining actual conditions, and the wafer is prevented from being subjected to a secondary technological process from the source. Meanwhile, the current state of the wafer is monitored in real time through the human-computer interface, whether the wafer is processed or not is judged, and the historical process record of the wafer is displayed, so that an operator can check the historical process record conveniently. And as the hardware structure does not need to be changed, the economic cost is saved.

This invention relates to the field of manufacturing process control technology, and discloses a multi-dimensional process data collaborative simulation control method, system, and storage medium. The method first collects a set of multi-dimensional process parameters from multiple process equipment in a manufacturing production line, performs cross-dimensional feature extraction, and generates a comprehensive feature matrix containing time-series features, spatial distribution features, and energy consumption features. Then, based on the feature correlations of different dimensions in the comprehensive feature matrix, a dynamic coupling model of process parameters is constructed to collaboratively simulate the interactions between process equipment, outputting a process state evolution sequence. Next, abnormal fluctuation features in the sequence are extracted to generate a set of process parameter adjustment instructions. Finally, based on the set of adjustment instructions and real-time process feedback data, the model simulation parameters are dynamically corrected, generating an optimized process control strategy and executing it. This method achieves collaborative analysis and dynamic control of multi-dimensional process parameters, improving the accuracy and adaptability of process control.

This invention provides an intelligent control method and device for multi-process forging, relating to the field of intelligent manufacturing technology. The method includes: constructing a process state sequence covering multiple forging processes; obtaining simulated forging quality corresponding to different combinations of process parameters through simulation; calculating the difference between the simulated and actual forging quality to form a perturbation variable; establishing a process state sequence sample library and training a long short-term memory network model to form a dynamic prediction model; obtaining the actual process parameters of the completed initial processes; and predicting and evaluating subsequent unexecuted processes and finding an optimized parameter set under the constraints of desired forging quality and minimizing perturbation variables using the dynamic prediction model; calculating production perturbation variables after production completion; and triggering an initial process parameter correction mechanism to re-execute the full process optimization when the quality of the produced forgings is not within the acceptable range. This invention can improve the accuracy of multi-process forging process control by combining with the actual production process.

The application relates to the technical field of device firmware updating, in particular to an AIoT device updating method and system, which comprises the following steps: collecting a process state, checking a memory address overlap rate, generating a to-be-updated block, extracting a to-be-updated area, normalizing network parameters, calculating a cosine similarity, generating an updating mark, combining the block and the mark, comparing a version hash, generating a replacement or skipping instruction, writing incremental data, determining a failure number through a Q-Learning model, counting the failure number, analyzing a global state, executing recovery or version updating, and the like. In the application, the memory address conflict overlap area is dynamically identified to reduce the upgrading interruption risk, network bandwidth, packet loss rate and storage delay parameters are evaluated to avoid inefficient updating, hash comparison is accurately used to judge version compatibility to prevent system collapse, Q-Learning is combined to analyze load prediction failure risk and enhance updating robustness, the failure number is counted to establish a multilevel fault-tolerant mechanism to maintain device basic functions, and dynamic scheduling and environment sensing are cooperated to improve stability and efficiency.

The invention discloses a method and a device for designing a stateless ubiquitous operating system supporting a decoupling service. The device comprises a hardware layer, a macro-kernel base layer, a platform abstraction layer and a LibOS user process layer, by designing a decentralized process state, the state of a user process in a computer system is separated from a system kernel, and system service is decoupled into the user process to obtain a decoupled user process, so that the degree of dependence of the user process on a host system is reduced; a stateless cross-device migration method is designed, and the decoupled user processes are efficiently migrated on different heterogeneous hardware platforms, so that the system service has continuity; and realizing heterogeneous resource integration and resource optimization of a computer system through a dynamic service and resource management method of a hardware resource list for heterogeneous device collaboration and process seamless migration.

The invention relates to the technical field of memory leak detection, in particular to a system for detecting memory leak of a linux process and an alarm method. The method comprises the following steps: analyzing a configuration file of real-time monitoring equipment to obtain monitoring configuration data; screening the process list based on the monitoring mode to obtain a target process PID set; reading a corresponding / proc / PID / status file for each PID in the target process PID set, and analyzing the corresponding / proc / PID / status file to form process state data; and updating a memory information detail table and a process information table of the real-time monitoring equipment based on the process state data to obtain a process information record set. According to the method, the process-level memory state is analyzed at low overhead, so that accurate positioning, trend analysis and visual alarm of the Linux memory leak process are realized, and the stability and reliability of the system are improved.

The invention discloses a solid state disk automatic test tool and a test method thereof.The solid state disk automatic test tool comprises a hard disk automatic test module and a test data collection module, the hard disk automatic test module can be started by executing a specific script in a Linux environment, command line parameter dynamic input is supported so as to flexibly configure core parameters such as test duration, turns and IO modes, and the test data collection module can be started by executing the specific script in the Linux environment; and an interactive command is also provided to realize pause, continuation and termination operations of the test. The test data collection module can automatically collect data such as test process states, command line parameter input records, real-time throughput, IOPS, delay and the like, and fully records original test logs; meanwhile, the data are filtered and analyzed, invalid data are removed, and key data are reserved and displayed in a visual mode, for example, a chart or a report is generated. The invention belongs to the technical field of computer hardware testing, and aims to solve the problems of low efficiency, poor accuracy, single function, insufficient compatibility and the like of a traditional solid state disk testing method.

An apparatus, a method of operating an apparatus, a computer program, and a computer readable medium are provided. The apparatus includes a pipeline to process instructions. The pipeline includes decoder circuitry to control the pipeline to perform a processing operation in response to receiving the instruction. The apparatus further includes extension processing circuitry to execute a delegated task asynchronously with the pipeline in response to identifying the delegated task by the pipeline, and the extension processing circuitry is configured to maintain extension state information indicative of an execution context of the extension processing circuitry independent of processing state information associated with the pipeline. The decoder circuit, in response to an extended context save instruction including a storage location identifier, stores the extended state information to a location identified by the storage location identifier at a point where the extended state information is stored.