65 results about "Process state" patented technology

The invention relates to the technical field of manufacturing process control, and discloses a multi-dimensional process data co-simulation control method and system and a storage medium. The method comprises the following steps: firstly, collecting a multi-dimensional process parameter set of a plurality of process equipment in a manufacturing production line, carrying out cross-dimensional feature extraction, and generating a comprehensive feature matrix containing a time sequence feature, a spatial distribution feature and an energy consumption feature; according to feature relevance of different dimensions in the comprehensive feature matrix, a process parameter dynamic coupling model is constructed, co-simulation is carried out on interaction between process equipment, and a process state evolution sequence is output; extracting abnormal fluctuation characteristics in the sequence, and generating a process parameter adjustment instruction set; and finally, according to the adjustment instruction set and real-time process feedback data, dynamically correcting model simulation parameters, generating an optimized process control strategy, and executing the optimized process control strategy. According to the method, collaborative analysis and dynamic control of multi-dimensional process parameters are realized, and the accuracy and adaptability of process control are improved.

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 relates to the technical field of equipment firmware updating, in particular to an AIoT equipment updating method and system.The AIoT equipment updating method comprises the following steps that the process state verification memory address overlapping rate is collected to generate a to-be-updated block, the to-be-updated block is extracted, network parameters are normalized, cosine similarity is calculated, and an updating mark is generated; generating a replacement or skipping instruction by combining the block and the mark comparison version hash, writing incremental data, judging the number of failures through a Q-Learning model, counting the number of failures, analyzing the global state, and executing recovery or version updating. According to the method, the upgrading interruption risk is reduced by dynamically recognizing the memory address conflict overlapping region, the network bandwidth, the packet loss rate and the storage delay parameter are evaluated to avoid low-efficiency updating, the version compatibility is accurately judged through Hash comparison to prevent system crash, the load prediction failure risk is analyzed in combination with Q-Learning, and the updating robustness is enhanced. And a multi-level fault-tolerant mechanism is established to maintain basic functions of the equipment by counting the number of failures, and stability and efficiency are improved by cooperating with dynamic scheduling and environmental perception.

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 present application relates to an optimization method, system and medium for a process engine in a high-concurrency process scenario, including the following steps: attaching a priority tag to a process task; attaching a resource type tag to a process task; the process engine is provided with an early warning mechanism for entering the high-concurrency process state. When the early warning is triggered, new tasks enter the waiting queue, and the process engine preferentially processes tasks with higher priorities. When the priorities are the same, the process tasks with resource type tags matching the system resource type with a higher idle rate are preferentially processed according to the real-time idle rate of the system resources; the process engine is provided with an exit mechanism. After exiting the high-concurrency process state, new tasks no longer enter the waiting queue but enter the normal processing queue of the process engine. By establishing a high-concurrency process state early warning mechanism and a high-concurrency task processing method, the present application enables the process engine to quickly and efficiently process multiple concurrent tasks when facing a high-concurrency task scenario, alleviating task backlog.

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 quantum finance operation system and method based on cross-domain language collaboration, and belongs to the technical field of quantum computing, and the method comprises the steps: configuring a dependence environment of Java and Python through deploying a back-end service, and defining a Python execution path; a user submits a quantum financial operation request, a Java service layer analyzes parameters and checks resources, a Python algorithm layer is triggered, and a request identification number and a process identification number are recorded in a process state table; after a termination request is submitted, the Java service layer calls the Python algorithm layer based on the process state table, a termination instruction is synchronized, resources are released, and the task state is updated. According to the method, a Java and Python interaction mechanism is established through decoupling service logic and a quantum algorithm, so that the cross-language collaboration efficiency is remarkably improved, a quantum computing resource isolation and recovery mechanism is designed, and the security of quantum financial operation and the resource utilization rate are improved in combination with sandbox management of Java on Python.

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.

In a scheme for generating process prompt statements provided by this application, this scheme adopts a method combining a finite state machine and a logical inference graph. That is, it uses a finite state machine representation to manage the process state nodes in the scenario, and uses a logical inference graph formed by a logical tree to control the generation of process prompt statements and the switching of process state nodes. For the court trial scenario, different case types can be adapted by flexibly configuring the states included in the finite state machine and the template nodes in the logical tree. Therefore, the workload for different case types can be reduced, and the generality is good.

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 invention relates to the technical field of information processing, in particular to a log recording method and device for fault positioning. The method comprises the steps that a main thread of an application program is started; creating a business log file of the application program; creating and starting a service execution thread used for executing the application program service; obtaining a process ID of the application program; a running state monitoring thread of the application program is created and started, and the running state monitoring thread is used for periodically obtaining process state information corresponding to the application program; and writing the process ID, the process state information and the process stack information of the application program into the business log file according to the process state information. When the application runs, the root of the fault problem can be quickly and accurately positioned, and a developer can further analyze and improve the defects of the application, so that the application development efficiency is improved, and the development cost is reduced.

The invention discloses a test case generation method, device and storage medium, comprising: establishing a finite state machine model and a function block diagram model based on a function block diagram-like language according to software requirement specifications; selecting a software running state in the finite state machine model as a pre-state of the function block diagram model according to the effective state of the function block diagram model; converting the function block diagram model into a conversion finite state machine model describing the state change process of the software running according to a preset conversion rule, and associating the conversion finite state machine model with the finite state machine model according to the pre-state of the function block diagram model to obtain a target finite state machine model; based on the target finite state machine model, using a preset traversal algorithm, generating a test case for each path, which can accurately and comprehensively describe the running process state of the software, and can also accurately describe the logical relationship between the software input and output, thereby improving the accuracy of the generated test cases.

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 relates to the technical field of cloud computing and software development, and discloses an assembly line process management method, device and equipment in a server-free architecture application, and the method comprises the steps: when a pause request of a user for a first assembly line in a server-free architecture is received, executing a first command which is used for capturing a process state of the first assembly line, generating a snapshot file based on the process state, and terminating the process of a first assembly line in the server-free architecture; and storing the snapshot file to a preset storage platform. According to the method provided by the invention, the first command is executed to capture the process state of the first assembly line, the snapshot file is generated, and the process of the first assembly line is terminated, so that the user does not need to continue payment and store the snapshot file to the preset storage platform because the first assembly line running in the server-free architecture is terminated; and subsequently, the target assembly line can be conveniently recovered by using the snapshot file, so that the cost during the pause period of the assembly line is effectively saved for the user.

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.