39 results about "Task number" patented technology

The invention discloses a mainboard intelligent fault diagnosis method and system based on artificial intelligence, and relates to the technical field of fault diagnosis. Comprises: constructing a task number chain according to a calling sequence relationship; continuously sampling the running state parameters, and constructing a task state feature vector table in combination with the current task number; state feature vector offsets between adjacent task units are calculated pair by pair, and if the offsets exceed a set tolerance threshold value, the offsets are added into an offset anomaly table to serve as doubtful point marks; constructing an abnormal propagation path map through path reasoning, and calculating a path risk score based on the structure association degree and the historical state interaction frequency between the task units; and for the abnormal boundary with the path risk score exceeding a preset value, selecting an optimal alternative number under structural constraint from the task number chain, and deploying the optimal alternative number to a corresponding number position of the current task unit. According to the method, the dynamic substitution of the fault boundary and the local reconstruction of the system state are realized, and the robustness and the continuous operation capability of the mainboard task execution system are enhanced.

The invention relates to the technical field of task progress monitoring, in particular to an intelligent monitoring system and method for a data task processing progress state, and the method comprises the steps: obtaining task records, filing task numbers in batches, arranging execution hop segments and node name generation stage sections, and checking a node behavior marking idle state. And tracking a state field change frequency to extract a hopping stage, and classifying and identifying an abnormal stage to generate a progress deviation result. According to the method, task item division and group collection are completed by constructing a batch tracking structure of task numbers and attributions, execution hop segments and frequent segments are extracted to form a hop distribution set, operation traces are extracted in combination with node behaviors and stage segments, non-behavior nodes are marked, state fields are classified according to stages, and change frequencies and hop sequences are generated. And performing cross comparison on the state and behavior records to output a fluctuation trajectory identifier, and supporting task jump structure carding and state hierarchical labeling.

The invention relates to the technical field of digital computer combination processing, in particular to an edge computing node cooperative processing system based on load awareness, which comprises a task density construction module, a current sequence extraction module, a state transition identification module, a synchronous trigger generation module and a processing chain construction module. According to the method, task features are mapped to system load distribution in a task number construction and merging mode, dynamic features of task execution are extracted by combining a splicing and alignment mechanism of node current disturbance, and state transition boundaries are constructed according to current head and tail differences between tasks to identify key change points. The inter-node serial number consistency identification mechanism extracts synchronous trigger positions to ensure execution collaboration, an execution chain is constructed based on task sequence rearrangement and serial number binding, perception of task scheduling on node operation states and load changes is achieved, and the task identification precision, the execution time sequence management capability and the collaborative organization efficiency are improved.

The invention discloses a database query method, device and equipment based on a WebAPI interface and a storage medium, in the query method, WebAPI interface input parameters comprise an input parameter object and a task number, after a client sends a request message comprising the WebAPI interface input parameters, the WebAPI interface converts the input parameter object into dictionary data in a standard format, and the dictionary data in the standard format are stored in the database. The method comprises the following steps: acquiring a task number from a data center, acquiring a corresponding execution script from the data center according to the task number, assigning dictionary data to the acquired execution script, executing query of a database according to the execution script to obtain a result array, and finally converting the obtained result array into an output format and sending the output format to a client. The input parameters of the WebAPI interface are compatible with a plurality of interface requirements of different queries, different input parameters and different outputs by setting the input parameter objects and the task numbers, so that the design and development cost is effectively reduced while the personalized interface requirements are quickly responded, and code recompiling and redeployment online are not needed every time the requirements are changed.

The invention relates to a task allocation method based on a dynamic rotation priority mechanism, and belongs to the technical field of crowdsourcing task allocation. The method comprises the following steps: defining a task set, a volunteer set, a round counter, an allocated task number, a task assignment state, a volunteer task preference sequence and a maximum acceptable task number; screening and randomly sorting the volunteer set according to the allocated task number and the maximum acceptable task number to obtain a task allocation sequence; based on the task allocation sequence and the task set, obtaining the most preferred task in the current unallocated volunteer task preference sequence; and according to whether other volunteers select the most preferred task to perform distribution of the current round of tasks, updating the task assignment state of the current round of tasks, and simultaneously performing next round of task distribution until all task distribution is completed or no distributable volunteers exist, ending the task distribution. The objective of the invention is to solve the technical problems of poor preference consistency and low satisfaction of volunteers in the prior art.

The invention provides a multi-order warehouse-out task scheduling method, electronic equipment and a readable storage medium, and the method comprises the steps: obtaining to-be-issued order information, grouping the to-be-issued order information, and issuing the to-be-issued order information according to waves; the number of orders to be executed in each wave is obtained, and the orders to be executed are issued according to order serial numbers; obtaining a real-time task number of each task layer; whether the real-time task number of each layer is smaller than the maximum task number or not is judged, if yes, to-be-executed tasks in the to-be-executed order are issued to the corresponding task layer, and if not, issuing of the to-be-executed tasks is suspended until the real-time task number of the corresponding task layer is smaller than the maximum task number, issuing continues. According to the method, the multiple orders are issued in parallel, so that the delivery efficiency of the orders can be improved.

The invention discloses an automatic workshop AGV intelligent transfer system, and relates to the field of material transfer automatic control. The invention aims to solve the problem that an existing workshop material transfer method is high in error rate in the transfer process. The method comprises the following steps: receiving a task information character string sent by a workshop control center and analyzing the task information character string; obtaining an AGV scheduling scheme based on a workshop data twinborn model; a task instruction is generated according to the task information character string analysis result, the task number and the flying bar number in the skip car state data table and the task execution information JSON format, and the task instruction is sent to the AGV control system; and the AGV control system feeds back a task execution state and AGV position data, and writes the task execution state and the AGV position data into the skip state data table and the AGV state data table. The AGV material transfer device is used for achieving AGV material transfer in the workshop.

The invention discloses a method and device for determining the matter state of a project matter, a storage medium and an electronic device, and relates to the technical field of project management.The method comprises the steps that an execution task is determined from a starting instruction of a front-end page, and the execution task is obtained by splitting the project matter; constructing a target task branch of the execution task based on the task number of the execution task; after the target task branch and the source branch corresponding to the target task branch are combined according to the submission instruction of the front-end page, the item state of the project item is determined according to the task state of the execution task, and by adopting the technical scheme, the technical problem that the item state of the project item is not high in accuracy is solved.

The invention discloses an assembly line task sequence execution control method, system and device and a medium. The method comprises the following steps of: setting the same Job name as a sequential execution identifier for assembly lines which need to be executed in order on the same building machine during assembly line arrangement; the system captures starting timestamps of homonymous tasks, and a serial queue is generated according to the mode of first starting and first executing; the configuration of the longest waiting time and the maximum task number of the queue is supported, the tasks fail automatically after waiting for timeout, and the tasks with different names are executed in parallel. According to the method, the problems of resource scrambling, environment chaos, high cooperation cost, low deployment success rate and the like caused by multi-pipeline concurrency are effectively solved. Diversified requirements from small teams to enterprises are met, meanwhile, the normalization and manageability of pipeline execution are remarkably improved, and the process coordination complexity in cross-team cooperation is reduced.

The invention discloses a remote scheduling method for batch tasks based on RabbitMQ, which comprises the following steps: task definition: defining and packaging the batch tasks, and integrating the defined task related information to form an independent and manageable task object; the task objects defined in batches are classified and stored in corresponding sets according to the task types and the batch task number set by the user, and the task state is marked as a to-be-published state; task publishing is carried out, wherein the packaged task object set is integrally taken out and sequentially published into RabbitMQ; performing task routing and distribution; performing task execution; a task execution result message is received, the task information table is updated, the task state is processed, and the result information of the batch task is packaged and returned; and performing execution monitoring and exception handling: monitoring the execution condition of the task in real time through a monitoring component, and handling and recording the occurred exception in time.

The application discloses a supervision system for effectively controlling project labor cost, and the innovation point is that the project labor cost accounting constitution granularity is scientific and reasonable, in order to realize project cost efficiency optimization, the project events generating labor cost are split into basic task event work hour units which can be marked as completed plans, the project manager designs the basic task event units matched with the project according to the characteristics of the cost events, generates work orders with unique dispatching numbers through a dispatching module, associates the project (project name, work site), task (task number, task name, planned work hour) and personnel (required professional title, required major) and publishes the associated work order in a task pool. The system automatically dispatches matched personnel to form a task work order from the associated work order in the task pool, and the personnel need to complete the task and report work hours within the planned time after confirmation, or the project manager can close the task work order at the planned work hour deadline, so that the completion work hours of each basic task event unit are controlled, and the total project work hours are further controlled.

A PCBA first article inspection method and system, an electronic device, and a storage medium are provided. The method includes: obtaining a whole-board virtual assembly graph, a PCBA physical image, and a first CAD component list; extracting a component list L4; at a server, obtaining a second CAD component list, generating a task list, generating a check list, and assigning a current task number to at least n1 users not having a task; at a user end, obtaining the current task number based on the task list, and obtaining status of the current task number, to obtain a check list updated according to the status in the check list and a check result; and at the server, obtaining a task list whose status is closed and whose current task number is cleared, and generating and outputting a report of the current task number.

The invention relates to a thread work distribution method and device based on dynamic assembly, and the method comprises the steps: obtaining a first number of to-be-processed tasks belonging to a target priority in to-be-processed batch tasks, and judging whether a first maximum task number which can be processed by a first residual resource of a current thread pool is greater than the first number or not according to the first number, if the first maximum task number is greater than the first number, dynamically allocating the first residual resources to the first number of to-be-processed tasks; and if the first maximum task quantity is not greater than the first quantity, dynamically selecting partial or all to-be-processed tasks in the first quantity of to-be-processed tasks for allocation according to the first residual resource and the task attribute of each to-be-processed task. Through the method provided by the invention, the throughput rate in unit time is remarkably improved, and the overall response delay is shortened.

The invention relates to the technical field of task scheduling, in particular to an operating room cleaning task dispatching method and system.The operating room cleaning task dispatching method comprises the following steps of obtaining a task type field, positioning a response field, writing the response field into a dispatching mark, collecting action and interaction information to recognize an interrupt state, screening an order receiving number matching resume and a position to generate a replacement set, and the loading field configures voice broadcast content, and the updating state field removes the cache and registers. According to the method, task state distribution marking is completed through field linkage, interaction and action state collection are combined to recognize interruption conditions, a state tracking path is constructed by relying on task numbers, personnel are screened in a resume sorting and position matching mode in a replacement link, broadcast content is generated through voice template fields, and terminal roles are matched. And when the task is terminated, the cache is removed synchronously, data records are registered, and the links of distribution, interruption, replacement and termination keep field unification and state connection, so that the scheduling response efficiency and the task process management and control capability are enhanced.

The invention discloses a task pushing method and device and a processor, and the method comprises the steps: firstly obtaining a to-be-pushed task comprising a plurality of task items, and verifying the to-be-pushed task, the task items comprising a pushing content, a task title, a task link, a task title, a task pushing time, a task state and a pushing target marked with at least one affiliated customer group label; and configuring a task lock for the task item after the verification is passed, performing label duplication removal on the push target marked with a plurality of customer group labels, and generating the task item only containing a single customer group label so as to avoid repeated push. Then the single-label task items are sorted according to the pushing time sequence of the single-label task items, the sorted task items are divided into a plurality of task batches according to division conditions, and each batch is endowed with a unique task number determined based on the earliest task pushing time in the batch. And then, in combination with a task lock mechanism, sequentially executing single-label task items in each task batch according to a task numbering sequence, and ensuring that the pushing process is orderly and conflict-free.

The application discloses a scientific computing task whole-process auditing method based on logs and historical tasks, and relates to a scientific computing task whole-process auditing method.The application is used to solve the problems of obvious deficiencies of the prior art in the aspects of traceability, playback, responsibility positioning and experience reuse.The steps of the application comprise the following steps: step 1, generating a task number and a signature;step 2, collecting event logs;step 3, storing structured logs;step 4, associating historical tasks;step 5, generating an audit chain;step 6, playback and query; and step 7, feedback optimization.The application belongs to the technical field of computer process management and task auditing.

The present invention provides a distributed batch task scheduling method and system, including: obtaining platform front-end data; reading and registering a job schedule in the front-end data to obtain a job flow, and obtaining a task generation parent task flow table associated with the job; scanning the task flow table, obtaining executable tasks and adding optimistic locks, and calling a task execution method to execute the tasks; the platform front-end data includes: jobs, tasks, and job schedules. By adopting the method of calling a task splitting interface, the present invention has low coupling between the scheduler and the business, improves the processing performance of batch processing when the business form changes frequently and the business volume grows too fast. In addition, by using the method of splitting subtasks with the same task number as the task, the scheduling only needs to be configured to the task, solving the problem that common tasks in the current market need to be configured to the finest granularity and do not support dynamic splitting.

The invention discloses a distributed task processing method, system and device, and belongs to the field of IT and software development. Under the condition that the first task processing node completes the first task, the business database is traversed to obtain a traversal result, and under the condition that the traversal result indicates that no new task exists, the task state information of the second task processing node in the distributed task processing system is traversed to obtain the task state information of the second task processing node. And under the condition that the task state information meets a preset coordination condition, performing coordination processing on the second task in the second task processing node, realizing decentralized distributed task coordination, and realizing two task processing stages based on the task state information. The method can deal with scenes with unknown task quantity and difficult workload evaluation while reducing lock competition, and fully dispatch system resources to improve operation efficiency.

A method for locating a process execution exception includes: inputting task data of a present upper-level task into a process verification model to obtain a task reference feature value and comparing it with an execution feature value corresponding to the present upper-level task, and recording the upper-level task number corresponding to the present upper-level task when the task reference feature value is inconsistent with the execution feature value; when the lower-level task corresponding to the upper-level task is not a bottom-level task, taking the lower-level task as a new upper-level task, and repeating the step of simulation; and selecting, when the lower-level task corresponding to the upper-level task is the bottom-level task, the bottom-level task that needs to be simulated according to the upper-level task number and inputting the task data of the bottom-level task into the process verification model to locate exception execution issues.

This application discloses a method and apparatus for processing tasks between different business systems. The method includes: initiating a task based on an external request or an internal scheduled task; generating a unique task number for the task and allocating an independent cache space for the task to store initial data and intermediate results during execution; obtaining pipeline settings corresponding to the business scenario of the task from a predefined configuration file, and decomposing the task into multiple stages forming a pipeline based on the pipeline settings; sequentially executing each stage in the pipeline, wherein after the current stage is completed, the execution result is checked; if the execution result indicates success, the next stage in the pipeline is started; if it fails, the task is retried or terminated according to a preset strategy. This invention adopts a unified pipeline mode, ensuring efficient, stable, and traceable business processing.

The invention relates to the technical field of data visualization and integration, in particular to a collaborative digital monitoring backup method and system, which comprises the following steps: counting channel faults to generate a task number set, matching healthy nodes to generate migration contrast, extracting number difference and injecting into a scheduling queue, comparing task variables to complete processing synchronization, and generating a collaborative backup record. According to the method, continuous fault statistics is carried out on monitoring node channel response log data, invalid channels are marked, abnormal tasks are recognized and positioned in time, and in combination with mapping matching between fault tasks and healthy nodes, task migration has the dynamic sensing and optimal distribution capacity; compared with the prior art, the task response sequence number difference value is compared before migration, the number segment is extracted, data gap supplementation and continuous maintenance are effectively achieved, the data integrity and availability during fault recovery are improved through scheduling queue filling and task table labeling, and the timeliness and consistency of data synchronous updating are enhanced.

The invention provides a nuclear power plant task dynamic allocation method, an applicable system thereof and a readable medium, and relates to the technical field of nuclear power. The nuclear power plant task dynamic allocation method comprises the following steps: acquiring a load difference function, a to-be-allocated task in a current task period, executors in the current task period and task related data of each executor, the task related data comprises a historical task quality standard-reaching rate, a historical task completion average time length, a maximum number of tasks which can be borne by an individual and a historical task time upper limit; and for each to-be-allocated task, according to the task related data and the number of currently allocated tasks of each executor, calculating to obtain an allocation score satisfying a preset condition, and according to the allocation score satisfying the preset condition, allocating the to-be-allocated task to the corresponding executor, the allocation score is calculated according to a performance coefficient corresponding to each executor and a load difference function, and the performance coefficient is calculated according to the number of currently allocated tasks of each executor and task related data.

Embodiments of the present application provide a task exception early warning method and device, electronic equipment and readable storage medium, the task exception early warning method includes: for any scheduling stage Stage in each Job included in the required monitoring Spark task, obtain the execution duration of multiple Task tasks in the scheduling stage Stage, and the first number of Task tasks included in the scheduling stage Stage;When the first number is less than the Task task number threshold, compare the execution duration of each Task task with the size of the first execution duration threshold;When there is an abnormal Task task with an execution duration greater than the first execution duration threshold in the multiple Task tasks, generate an alarm information, and the alarm information includes the task identifier of the abnormal Task task. The present application realizes the abnormal task early warning of the Task task level of the Spark task.

The invention discloses a task balancing method and device, and relates to the technical field of logistics. A specific embodiment of the method comprises the following steps: acquiring a task list of a current site, wherein the task list comprises a plurality of tasks and road area and address information corresponding to each task; generating a task list corresponding to each road area according to the road area corresponding to each task; a target road area with the task number larger than a first number threshold value and the task number of at least one corresponding adjacent road area smaller than a second number threshold value is screened out from all the road areas; and according to the address information of each task corresponding to the target road area, obtaining each task in the boundary area of the target road area, and according to each task in the boundary area, performing task equalization on the task list corresponding to the target road area and the task list corresponding to the adjacent road area. According to the implementation mode, the delivery timeliness of the tasks in the overload road area is improved through task balancing, the number of the tasks in the low-load road area is made up, and balancing of site human resource management is achieved.

The present application relates to the technical field of resource scheduling, in particular to a software project resource optimization allocation system and method, the system comprises, in the present application, the task execution priority sequence is compared with personnel pool language item, framework item, module history, code branch occupation, work time slot, concurrent upper limit is executed item by item, and the task number and personnel number are matched with the help of hungarian matching algorithm to form a row-column matching structure, the matrix position is locked under the joint participation of the completely adaptive bit, the substitute bit, the frozen bit and the limit bit, the batch task resource allocation table is counted, the continuous occupation segment, the module switching segment and the defect single insertion segment, the high load member and the low load member are circled, and the execution person number is replaced, the task sequence is rearranged, the continuous occupation time period is corrected, the module switching order is adjusted, and the iteration screening is executed with the help of simulated annealing algorithm, so that the resource reallocation process can continuously compare and retain the better arrangement state between local rewriting and overall arrangement.

The invention provides a task processing method of a distributed system and a related device. The method comprises the following steps: for any node in the distributed system, detecting a resource use data sequence of the node in a task execution process within a first preset duration before a first moment; encoding resource use data at different moments in the resource use data sequence to obtain a first feature vector sequence composed of feature vectors at different moments; performing recursive prediction based on the first feature vector sequence and a second preset duration to obtain a first thread number; based on the first thread number, adjusting a first task number of the node at the first moment to obtain a second task number of the node at the second moment; and controlling the node to execute the task at the second moment based on the second task quantity. According to the invention, the task load of the nodes in the distributed system can be balanced.

The present invention relates to a code generation method based on artificial intelligence, and relates to the field of electrical digital data processing. The method includes: using a convolutional neural network model to intelligently parse the function name of the next writing function of the latest writing function according to various function association information of the latest writing function of the current executable code file, the execution task number, the previous task number and the subsequent task number of the execution task, and the binary data stream corresponding to the written code paragraph; automatically generating the function framework corresponding to the function name below the latest writing function. The present invention also relates to a code generation system based on artificial intelligence; through the present invention, aiming at the technical problem that the program personnel have a heavy task of typing code due to the inability to automatically generate the subsequent function framework, an artificial intelligence model can be used to automatically generate the framework of the subsequent function that has not been manually typed according to the overall information of the code file and the existing function data, thereby solving the above technical problem.

The invention provides a resource allocation method and device, a storage medium and electronic equipment, and relates to the technical field of computers.The method comprises the steps that in response to a resource allocation instruction, the number of users completing a task currently is determined; setting a task difficulty coefficient of a task to be executed by the user at present according to the number of the first users completing the task at present and a preset target user number; under the condition that the user contribution degree is received, the current resource remaining information and the target remaining amount of a resource pool are determined, the user contribution degree is determined based on the task execution progress of the user and the task difficulty coefficient, and the target remaining amount comprises one of the remaining task time and the remaining task number; and allocating resources of the resource pool to the user according to the resource residual information, the target residual amount, the task difficulty coefficient and the user contribution degree. By applying the method provided by the embodiment of the invention, the resources in the resource pool can be efficiently and accurately allocated.

The application provides an abnormal account detection method and device, wherein the abnormal account detection method comprises the following steps: receiving an account detection request for a target application, determining a target to-be-detected task based on the account detection request; acquiring an account set for executing the target to-be-detected task, and collecting a task execution sequence corresponding to each account in the account set; counting the number of tasks corresponding to each task execution sequence, and creating a target task execution sequence based on each task number; comparing the target task execution sequence with each current task execution sequence to obtain a comparison result corresponding to each current task execution sequence; and adding an account corresponding to a current task execution sequence with a comparison result meeting a preset comparison result to an abnormal account set corresponding to the target to-be-detected task.