75 results about "Task control" patented technology

A computing device displays a graphical user interface (GUI) comprising a navigator interface component. The navigator interface component comprises an interactive graphical representation of an asset. The device, responsive to detecting a predefined event, generates an alert. The device updates the navigator interface component to indicate the alert in association with the asset in the interactive graphical representation. The device receives a selection of the asset via the interactive graphical representation. The device displays, in the GUI, a second interactive graphical representation specific to the asset. The second interactive graphical representation of the asset comprises a task control element for controlling tasks specific to management of the asset. The device receives, using the task control element: a task for resolving the alert; and an association with the task and the asset. The device updates the navigator interface component to indicate the association with the task and the asset.

This application relates to the field of automatic feeding technology, and provides a distributed control method and system for feeding motor rotor laminations. The method includes: setting up programmable logic controllers (PLCs) at multiple feeding nodes, each controller connected to a synchronous Buck topology circuit; reading and parsing the feeding task script, identifying the collaborative feeding nodes and their task control precision from multiple feeding nodes; sending a precision synchronization command to a coordination terminal based on the task control precision to obtain a corresponding fluctuation limiting signal; and the coordination terminal performing distributed collaborative control on the output of the synchronous Buck circuit connected to the collaborative feeding nodes based on the fluctuation limiting signal to complete the execution of the feeding task script. This application solves the technical problems of inconsistent actions and large precision fluctuations caused by independent control of each feeding node in the traditional motor rotor lamination feeding process, achieving the technical effect of highly consistent actions of each feeding node and controllable feeding precision through distributed synchronous control and high-precision DC bus clamping.

The application discloses a kind of based on SM2 algorithm and SM4 algorithm's password processing method and system, belong to computer information security technical field, comprising: the enhanced task control block including service index number and data amount is constructed;Based on historical performance data calculation processing coefficient, utilize double threshold hysteresis comparator decision serial or parallel mode, avoid mode frequent switching;Parallel mode is through load balancing weight function for subtask allocation IP core;Hardware synchronization control unit maintains three index tables being processing, blocking and having been processed, realizes the automatic blocking and wake-up of associated job package, and with service index number as address accesses key and intermediate state;Adopt interrupt aggregation and double buffering batch processing result;Based on sliding window adaptive calibration double threshold and dynamically adjusting weight coefficient.The application effectively reduces interrupt overhead, eliminates scheduling ping-pong effect, realizes hardware level job synchronization, improves load balancing and image encryption structure fidelity.

The application discloses a task list engineering quantity segmentation control method and system based on WBS and a pricing list, relates to the technical field of engineering progress management, and comprises the following steps: an engineering project is decomposed into minimum task control units layer by layer through a WBS structure, and basic cost measurement is carried out on each unit based on a pricing list; scheduling constraints and overflow costs among units are generated, and costs are dynamically adjusted in real time through real-time input of engineering progress data; further, a prediction and an optimal scheme are generated based on actual data of completed engineering, and a project profit state and risks are comprehensively judged; through multidimensional evaluation and a sliding optimization algorithm, an optimal segmentation node is automatically identified, and segmentation control and scheme fine adjustment are realized. The method improves the fine management of engineering costs, risk early warning and dynamic optimization capability, and provides technical support for efficient, controllable and sustainable profit of complex engineering projects.

The invention provides an instantiation task execution method and device and electronic equipment, and the method comprises the steps: generating a plurality of instantiation tasks corresponding to a target game event according to a current game state; determining a target service code needing to be executed by the current frame; determining a target instantiation task needing to be executed by the current frame; the target instantiation task and the target service code are controlled to be executed in the current frame, the remaining time of the current frame after the target instantiation task or the target service code is executed is determined based on the timer until the remaining time meets a preset condition, and the current frame is controlled to be ended. According to the mode, through the pre-configured timer, the remaining time of the current frame after the current task or code is executed is calculated in real time in each frame of the game, and whether the current frame is ended or not is determined according to the remaining time, so that the problem of game picture jamming caused by executing excessive instantiation tasks is avoided, and the user experience is improved. The problem that system resources are wasted due to the fact that few instantiation tasks are executed is solved, and meanwhile the execution efficiency of the instantiation tasks is improved.

The embodiment of the invention discloses a task processing method and device, electronic equipment and a computer readable medium. A specific embodiment of the method comprises the following steps: acquiring transfer source position information; controlling the unmanned aerial vehicle task processing equipment to the sky corresponding to the transfer source position information; sending transfer task control information to control the first task processing equipment to send a to-be-processed task information set; generating a popularity task information sequence based on the to-be-processed task information set; performing executable detection processing on each piece of popularity task information to obtain executable detection information; generating an executable hot task information set and a non-executable hot task information set based on each piece of executable detection information; tasks corresponding to the executable popularity task information are executed in sequence; and controlling each unmanned aerial vehicle task processing device except the unmanned aerial vehicle task processing device to perform cooperative processing on each task corresponding to the non-executable popularity task information set. According to the embodiment, the delay of task processing is reduced.

Embodiments of the present application provide a self-moving device control method, an electronic device and a storage medium, and relate to the technical field of artificial intelligence. The method comprises: displaying a target scene map, a custom area creation icon and a task triggering panel in a task control interface, the target scene map being used to reflect a target scene in which a target self-moving device works; in response to a triggering operation of the custom area creation icon by a user, creating a custom area on the target scene map; in response to a selection operation of the custom area and a target area in the target scene map by the user, displaying a working area of the target self-moving device in the target scene map, the working area being a mixed area of the custom area and the target area; and controlling the target self-moving device to execute a target task in the working area according to the target task triggered by the user through the task triggering panel. The present application has high work efficiency, can meet the individual needs of users and has good user experience.

The data processing apparatus (10) includes a receiving unit (120), a determining unit (142), and a task control unit (141). The receiving unit (120) receives settings for a processing flow that defines partial processing to be performed sequentially on data output from the slave device (21). The determining unit (142) determines the processing unit (130) to perform the partial processing based on the settings received by the receiving unit (120). The task control unit (141) determines the order in which tasks to be started to implement the tasks of the processing unit (130) determined by the determining unit (142) based on the settings received by the receiving unit (120), and starts the tasks in that order.

The invention provides a robot task control method and device, electronic equipment, a storage medium and a computer program product.The robot task control method comprises the steps that when a first interruption instruction of a user for a target task node in a first task sequence is received, context snapshot information of the first task sequence is determined, the context snapshot information of the first task sequence comprises the state of the target task node, and the state of the target task node is a cancelling state; responding to the first interruption instruction to execute a second task sequence; and after the execution of the second task sequence is completed, obtaining the state of the target task node, and when the state of the target task node is the cancelling state, executing the first task sequence by taking the target task node as an execution starting point. According to the invention, task flow disorder after the robot is interrupted can be prevented.

Numerical control device capable of providing an interface that performs safe task control for adding an original function, wherein the numerical control device comprises: - a memory management unit that is set up to develop or initialize a program executed by a task in memory, analyze the program, and gather information about the program, - an execution time calculation unit that is set up to calculate an execution time of the task, - an execution condition setting unit configured to set an execution condition of the task based on the execution results of the memory management unit and the execution time calculation unit, - a task monitoring unit that is configured to monitor the state of a computing unit and to determine the computing unit to which the task is assigned, and - a task control unit that is configured to register and start the task in the assigned computing unit based on the execution condition.

The invention provides an intelligent kitchen equipment cooperative control communication method, and relates to the technical field of intelligent kitchen equipment cooperative control communication, and the method comprises the steps: calculating a basic node score of each piece of equipment through obtaining a resource configuration type, a resource configuration amount and historical work information of the equipment to be cooperatively controlled; the method comprises the steps of calculating a working stability coefficient of each device according to historical working information, calculating the communication quality between the devices according to the communication state between the devices in the historical working information, taking the communication quality as a node weight, constructing a task resource decomposition model, and obtaining a demand type, a demand quantity and a task instruction of each resource configuration distributed along with time. And calculating a node score according to the resource surplus, the basic node score, the node weight and the working stability coefficient of each device, determining a communication control node according to the node score and the duration of the node score, and sending a task control instruction according to the communication node.

A control method of an AI task, a terminal and a base station, the base station comprising: a first function module, configured to perform at least one of the following functions by interacting with the terminal: end-to-end artificial intelligence (AI) task control, AI task execution, network decision generation and data management. The application provides a network architecture with intelligent internalization and a corresponding AI interaction process. On the basis of fully exploiting the computing power of the terminal, the application realizes a network with intelligent internalization by taking intelligence as part of the air interface transmission, thereby improving the intelligence of the network. In the embodiment of the application, the terminal collects data, pre-processes the data and reports the data to the base station, thereby reducing the amount of data to be uploaded. In addition, since the uploaded data is not original user data, the security of the terminal data can be improved.

To provide scheduling of tasks, which can ensure that processing results do not change between before and after modification of vehicle control software with respect to existing tasks.SOLUTION: In an electronic control device, a time slot allocation unit is configured to: receive inputs of information of a task which generates data to be inputted to a new task, data flow request information including information indicating how many cycles by which a cycle precedes a time slot at which the new task is to be started, wherein data generated by the task in this cycle is to be used, and time slot request information including information of the number of time slots required for execution of the new task; search for an idle time slot for execution of the new task on the basis of time slot allocation information, the data flow request information, and the time slot request information; and update the time slot allocation information so as to allocate the new task to the searched idle time slot.SELECTED DRAWING: Figure 1

This application relates to the field of communication terminal technology, and provides a multi-task queue management method, a multi-task queue management device, a terminal device, a chip, and a chip module. The method includes: each subtask control unit determining the validity of a subtask arbitration request signal and a subtask arbitration request masking signal based on a subtask trigger signal, a subtask priority value, and the current state of the processed subtask, and outputting these to a multi-task arbitration control unit, so that the multi-task arbitration control unit selects the highest-priority valid subtask from the multi-task queue as the target subtask; outputting the target subtask's configuration parameter read signal and the subtask configuration parameter storage base address to a subtask configuration parameter read / write unit to trigger the accelerator to process the target subtask. This method enables hardware to support software configuration of high-priority subtasks interrupting the currently processed subtask, thus ensuring the processing efficiency of high-priority subtasks.

The application discloses an intelligent cockpit task control method based on a behavior tree arrangement and multi-source arbitration, and the method comprises the following steps: a task compiler performs behavior tree conversion according to a task configuration file, and completes behavior tree building; a shadow verification module performs simulation verification on the behavior tree, and the behavior tree that passes the verification enters a gray-to-normal process; a trigger arbitrator acquires N trigger signals in a vehicle, when K trigger signals in the N trigger signals all satisfy a trigger condition, the trigger arbitrator generates a trigger proof with a time stamp and an event abstract; a behavior tree engine locks the context of this execution according to the trigger proof, activates action nodes corresponding to the trigger signals, and then injects trigger parameters at the trigger time in each action node to generate CAN signal instructions; and an execution scheduler controls corresponding vehicle-mounted physical hardware to run according to the CAN signal instructions. Effects: the method can solve trigger jitter through multi-source arbitration, solve execution safety through behavior tree injection, and solve online risk through a shadow mode.

This invention relates to the field of identity verification technology, and discloses an identity verification method and electronic device. The method includes: responding to a video verification request, determining the task type corresponding to the current verification session, and sending an interactive task corresponding to the task type to the terminal; controlling the terminal to simultaneously collect video data, audio data, and device sensor data during the execution of the interactive task, and receiving data sent by the terminal; aligning the data based on a unified timeline to construct a multimodal event sequence corresponding to the current interactive task; extracting visual event features, acoustic event features, and motion event features, and performing event-level cross-modal consistency verification based on the time correspondence and sequence constraints corresponding to the task type; determining the risk state and abnormal dimension based on the verification results, and generating an additional interactive task corresponding to the abnormal dimension when additional verification conditions are met. This scheme can improve the ability to identify cross-modal mismatch behavior in remote identity verification.

This invention relates to a user-mode thread scheduling method, apparatus, and storage medium based on behavior prediction. A short-term behavior predictor calculates prediction results using a hybrid model. A scheduling decision engine receives these prediction results, calculates a comprehensive benefit score based on the prediction results, and generates scheduling and migration decisions. A core affinity and migration controller executes migration decisions, controls the computation core to run CPU-intensive tasks, controls the I / O core to bind I / O interrupts and run I / O-intensive tasks, and controls the scheduling core to select user-mode thread tasks from a multi-level run queue and allocate them to the computation core or I / O core for execution. The scheduling and migration decisions involve resource allocation and priority adjustment. A lightweight behavior collector can collect the operational characteristics of user-mode threads with low overhead. While maintaining low overhead, a hybrid model is used to dynamically model thread behavior characteristics, predict short-term thread operational trends, and perform resource allocation and priority adjustment accordingly, thereby improving the overall system throughput.

The invention provides a mobile device multi-scene task control system and method and a computer product, the system comprises a task decision server and a PLC which are in communication connection, a parameter configuration and scene construction module and a task control module are deployed on the task decision server, the parameter configuration and scene construction module reads an external configuration file and sends the external configuration file to the PLC; a task control scene model is established according to the configuration file, and a task control module quickly calculates and selects one or more optimal tasks based on a greedy strategy according to a preset local optimal rule, generates a control instruction and sends the control instruction to the PLC; a task execution module is deployed on the PLC and used for converting a control instruction into an equipment driving signal so as to control the mobile equipment and the connection equipment to execute goods receiving and delivering actions; according to the invention, flexible adaptation of different equipment station numbers, physical layout and business requirements is realized, the efficiency, stability and expandability of the system are improved, and equipment-level control and millisecond-level response dynamic multi-task receiving and delivery scenes of an automatic logistics system are satisfied.

The embodiment of the invention discloses a corpus tagging task processing method and device, a storage medium and electronic device.The method comprises the steps that a task receiving request of a user side for a corpus tagging task is determined, based on the task receiving request, adopting a task control strategy to perform user task scheduling processing on a corpus task pool to obtain target corpus labeling tasks of a task allocation number, and sending each target corpus labeling task to the client, the target corpus tagging task is sent to the client, so that the client performs corpus data classification tagging processing on the basis of the target corpus tagging task.

The embodiment of the invention discloses a goods warehouse-in and warehouse-out method and device applied to a warehouse control system. A specific embodiment of the method comprises the steps of generating a corresponding cargo warehousing task, and adding the cargo warehousing task to a warehousing task queue to obtain an added task queue; performing code scanning identification on the cargo box sent to the code scanning position to obtain a corresponding cargo box number; task matching is carried out on the cargo box number and the cargo warehousing task in the task queue after addition, and a matched warehousing task is obtained; performing task splitting on the matched warehousing task to generate an elevator task and a shuttle vehicle task; carrying equipment is controlled to carry the cargo box to the elevator waiting area; performing task priority division on the hoister tasks, and adding the hoister tasks to a hoister mounting task queue according to the divided task priorities; the cargo box is transported from the elevator waiting area to the carrying area; and warehousing the goods in the goods box. According to the embodiment, the storage efficiency can be improved.

An inventory management method includes: scheduling, according to task information, a first autonomous mobile robot and a second autonomous mobile robot to travel to a same target workstation to perform tasks; controlling the first autonomous mobile robot to take one or more inventory containers from an inventory area and transport same to a first work point in the target workstation according to an instruction; and controlling the second autonomous mobile robot to take one or more inventory containers from the inventory area and transport same to a second work point in the target workstation according to an instruction.

An apparatus, method, apparatus, and readable storage medium are described for controlling function relocation wherein, according to one embodiment, the apparatus includes a processor coupled with a memory storing computer program code, in one embodiment, a system includes computer program code to cause a first device to perform the following: for a first task executed by a first task control function (TCF), determining that the first TCF is to be replaced by a second TCF, where the first TCF and the second TCF are managed by mission management (MM), and for a second task executed by the first TCF, determining that the first TCF is to be replaced by the second TCF, where the first TCF and the second TCF are managed by the MM. And transmitting, to the first TCF, a first synchronization request including information of the second TCF for requesting the first TCF to transmit task execution (TE) information to the second TCF, the TE information including execution information of the first task executed by the first TCF. Therefore, the relocation from the o-TCF to the n-TCF is realized.

The invention relates to a task path planning method and device of a power system, computer equipment, a computer readable storage medium and a computer program product. The method comprises the following steps: acquiring all power grid tasks in a power system, and constructing a reference map based on the power grid tasks; a target task needing to be completed at the current moment is determined, and a target map of the target task is generated; obtaining dynamic information and change information of the target task; determining a change coefficient and a task perception coefficient of each target task based on the dynamic information, the change information and the target map; distributing a preset weight for the change coefficient and the task perception coefficient, and performing weighted summation to obtain a task control coefficient of each target task; and executing the target task corresponding to the maximum task control coefficient, and returning to the step of determining the target task needing to be completed at the current moment until all the target tasks are executed. By adopting the method, the task execution rationality in the power system can be improved.

The present disclosure provides a batch task execution control method, system, program product and related device, which separates and centrally saves and manages task execution records, avoids repeated development, and can improve development efficiency. The method comprises the following steps: a task record table for centrally managing execution records of a plurality of batch tasks by a task control center; a service for executing batch tasks communicates with the task control center through an SDK to perform task control, wherein the operations performed through the SDK include: receiving task execution parameters transmitted by the service, the task execution parameters including a service name, a task execution date, a task type, a dependent sub-task list, a functional interface, and an identifier of whether the task can be repeatedly executed; calling the task control center according to the dependent sub-task list to query the execution status of dependent tasks in the task record table; and controlling the execution of the current task according to the execution status of the dependent tasks.

The application relates to the technical field of software engineering design, in particular to an interactive protocol for automatically disassembling sub-agents of an agent in a multi-agent scene, which comprises a label structure construction module, a sequence behavior derivation module, an action statement definition module, a protocol content arrangement module and an instruction resource archiving module.In the application, the state identification in the task flow of the main agent is subjected to field disassembly and structure mapping, the state transition sequence is constructed in combination with time sequence, the continuity of the attribute change path is judged, the behavior link with logical constraints can be formed, the semantic expression of the task control instruction and the accurate definition of the state mapping structure are realized through classification marking, the action elements and feedback fields are subjected to sequential optimization and structure screening, the instruction statement is ensured to have unified logic and response adaptation capability, the protocol content is ensured to have consistent support of efficient execution and function correspondence, and the protocol adaptability and semantic structure stability in the multi-task promotion process are enhanced.

The application discloses an AI controllable intelligent agent task scheduling and management system based on a task control ticket. The task control ticket is taken as a carrier to establish a balanced boundary of three separated rights, i.e., scheduling and guiding right (A right), management and control right (B right) and model / tool execution right (C right). Through a sandbox three radius (semantics, data and action) and a risk budget parameter, a management decision module is driven to perform ticket and data verification, and to realize release, interception, degradation or ticket splitting. A model / tool adapter adjusts tasks between a CPU deterministic channel and a GPU inference channel according to a budget strategy. At a submission gate, a governance strategy, a tool adapter and a knowledge base snapshot are executed to version pinning, and a playback anchor point is generated. The application realizes minimum permission control through a ticket pedigree, and ensures audit certainty through version pinning and a playback mechanism, so that the whole process is auditable and traceable, and the offline and low-computing-power deployment environment with strict requirements for security and controllability is adapted.

The invention relates to an automatic operation and cooperative execution method and system for heterogeneous application software, and belongs to the technical field of computer software automation, the system adopts a three-layer architecture, and comprises a UI element identification and interaction layer, an intelligent business process arrangement and cooperative execution engine and a unified control and task management platform. The UI element identification and interaction layer provides standardized UI operation capability for heterogeneous applications such as Web, Java and C # through an adapter mode; the engine is responsible for analyzing structured process configuration, scheduling the UI interaction layer to execute operation and managing cross-application data flow and state flow; the platform provides a visual interface for flow configuration, task control and state monitoring. The problem of tool fragmentation is solved through a unified interaction interface, cross-application data automatic circulation is realized through an intelligent scheduling engine, the use threshold is reduced through a visual platform, and three core pain points of non-unified interfaces, no mechanism in cooperation and no means in management and control in the prior art are effectively solved.

The invention relates to the technical field of task control, and discloses a task control system for high-speed printing, and the system comprises a state monitoring unit which is used for collecting a job queue load capacity and a task completion time estimated value, and calculating a backpressure hysteresis state index based on the mapping distribution of the two values in a historical window; the parameter adjusting unit is used for converting the backpressure hysteresis state index into a system compensation gain coefficient; and the cooperative control unit is used for responding to the system compensation gain coefficient, synchronously adjusting the scoring weight of task scheduling sorting, the rasterization processing parallelism degree and the cache resource quota, and generating an updated task completion time estimated value in combination with the real-time transmission rate of a data channel and a data flow supply continuity index. According to the method, the backpressure hysteresis effect of the system under multi-task concurrence can be quantified and compensated, and while stable supply of data streams is ensured, the precision of job completion time estimation and the adaptability of a scheduling strategy are improved.

The invention discloses a task scheduler structure for a dynamic reconfigurable chip, which is characterized in that in a task control register group, a task sequence number register defines a task sequence number, a task loading / running register defines that a task starts to be loaded or run, and a task description register stores a task feature description information initial address; the task label group records a task state; the scheduling logic module judges whether the task is a new task to be loaded or a loaded task to be run according to the task loading / running register; when the task is a new task, reading data from the external memory according to the information stored in the task description register, and writing the data to the processing unit; and when the task is a loaded task to be operated, sending a task starting command to the processing unit according to the task label group. The method is responsible for chip function configuration, the participation degree of the main controller can be reduced, and when the chip runs the current configuration function, programs and data needed by next function configuration are loaded into the processing unit in parallel.