291 results about "Idle time" patented technology

The invention provides a processing and assembling combined production workshop scheduling optimization method considering dynamic disturbance, and the method comprises the steps: building a combined scheduling model: dividing a product production process into a part processing process, an assembling process and an assembling subsequent process, defining the correlation constraint of processing and assembling, and carrying out the processing and assembling operation; comprising part machining sequence consistency, part machining completion requirements before assembly, buffer area capacity limitation and a dynamic disturbance event response mechanism; establishing a multi-objective optimization function: taking minimization of maximum completion time, equipment idle time, processing energy consumption cost and tool switching times as optimization objectives, and generating a scheduling model in combination with process time dependence, machine selection uniqueness and tool switching time constraint; dynamic disturbance processing: when an equipment fault occurs or a new order is inserted, updating an available machine state or combining tasks to be processed, and triggering rescheduling to generate a new scheme; an improved MOEA / D algorithm is used for solving; and outputting and applying a scheduling scheme: selecting a final scheme for production guidance according to the non-dominated solution set.

The invention relates to the technical field of production management, in particular to a production scheduling optimization system based on data analysis, which comprises a process data trend analysis module, a station resource real-time acquisition module, a scheduling sequence optimization judgment module, a rhythm coordination check module and a scheduling dynamic optimization module. According to the method, the process duration trend is analyzed in real time, continuous growth is accurately recognized, rhythm parameters are dynamically corrected, the stable process rhythm is ensured, efficient resource connection is achieved based on the station task completion time and the matching task and station idle starting time, the task sequence is dynamically adjusted according to the station idle state, and task connection is optimized; the beat proportion of adjacent tasks is verified, the task interval is adjusted, the beat difference is controlled within a reasonable range, beat sudden change is prevented from interfering with production, the rapid response ability to production changes is integrally enhanced, task and resource collaborative optimization is achieved, the overall scheduling efficiency and beat consistency are improved, and the production continuity and the resource utilization rate are improved.

The invention belongs to the technical field of firmware upgrading, and relates to a firmware upgrading method and device, an upper computer and a storage medium. The state of each lower computer is sensed in real time through the upper computer, and the idle lower computer is dynamically selected based on the equipment selection rule for upgrading operation, so that the idle time of the upper computer is fully utilized to distribute upgrading tasks to other lower computers in a staggered manner in a firmware upgrading process executed by the target lower computer, and parallel alternative upgrading operation among multiple equipment is realized. Besides, by receiving the upgrading feedback instruction returned by each lower computer and updating the equipment selection rule according to the upgrading feedback instruction, the upper computer can flexibly schedule the upgrading sequence, and the scheduling efficiency and the response flexibility of the upgrading process are improved. And meanwhile, through continuous iteration of the upgrading circulation process, it is ensured that each lower computer can receive the next round of upgrading data at a proper time, and the OTA upgrading efficiency and the system resource utilization rate of the multi-MCU equipment are remarkably improved.

The invention discloses an airport parking space distribution method, system and device and a medium, and relates to the technical field of parking space distribution, and the method comprises the steps: obtaining a plurality of parking spaces and flights of different airport models; the corresponding relation between the parking spaces and the flights is used as a decision variable, and the most balanced parking space idle time, the minimum passenger walking distance and the least far parking space distribution number are used as objective functions. Taking the maximum utilization rate of the large-scale gate position, the maximum overall utilization rate of the gate position, and the maximum gate position and flight matching rate as constraint conditions to construct a gate position distribution optimization model; an improved sparrow search algorithm is adopted to solve the gate position distribution optimization model, and a global optimal solution and the fitness of the global optimal solution are generated; and allocating the airport parking spaces according to the global optimal solution and the fitness thereof.

The invention relates to the technical field of material conveying, and discloses a steel plate welding automatic conveying device which comprises a welding table body, a welding mechanism and two feeding pieces, the welding mechanism is arranged on the welding table body to weld steel plates, the number of the feeding pieces is two, and the two feeding pieces conduct staggered feeding. The two feeding pieces are connected through a driving piece, a tool table for welding and positioning a steel plate is arranged on the feeding pieces, the at least two feeding pieces are arranged for staggered feeding, when one feeding piece conveys the steel plate to welding equipment for welding, the other feeding piece can place the steel plate needing to be welded in advance, and therefore the steel plate can be welded conveniently and rapidly. After one steel plate is welded by the welding equipment, the steel plate on the other feeding piece can be directly moved to the welding equipment for next welding, so that the idle time of the welding equipment is avoided, the continuous automatic welding of the steel plate is realized, and the welding efficiency is greatly improved.

The invention provides a large model training system based on CPU-GPU double optimizers and SSD unloading, and belongs to the technical field of computers. The system comprises a parameter division manager, a CPU optimizer state exchanger, a CPU optimizer, a GPU optimizer state exchanger and a GPU optimizer, large model parameters are divided into a plurality of subgroups through the parameter division manager, and the subgroups are further divided into a CPU updating part and a GPU updating part; a CPU and GPU double optimizer structure is introduced, a double-SSD architecture is adopted to design an independent data path, GPU-CPU collaborative updating is achieved, optimizer state transition between a GPU or a CPU and an SSD is managed, I / O conflicts are eliminated, the GPU idle time is shortened, the influence of SSD read-write high delay is relieved, load balancing is guaranteed, and the training throughput is improved.

The embodiment of the invention provides a dynamic event trigger consistency control method and system for a multi-agent system, and the method comprises the steps: setting a dual-threshold line based on a Lyapunov function, dividing a system state function into an activation time period, a holding time period and an idle time period, and dynamically switching the working mode of the controller, namely inputting a non-zero control quantity in an activation period to quickly converge a state, performing input zero setting in an idle period to save resources, maintaining control input at the previous moment in a keeping period to avoid frequent switching, and forcibly performing zero setting control input in a DoS attack period. Secondly, monitoring a measurement error (a deviation between a current state of the intelligent agent and a historical trigger state), a consistency error (a state deviation between the intelligent agent and a leader) and an auxiliary variable in real time, and if the weighted contribution of the measurement error in an activation time period exceeds the sum of the weighted contribution of the consistency error and the auxiliary variable, triggering a communication update state and reducing redundant communication;

The invention discloses a dynamic scheduling method for a multi-satellite collaborative observation task, which mainly comprises the following steps of: dispersing a scheduling period into time slices according to minimum overlapping observation time, and uniformly managing resources and time windows; a multi-objective optimization algorithm is used for initially scheduling fixed tasks, and the task completion rate and the minimum relay frequency are considered; detecting a satellite idle time slice based on the initial scheduling result and constructing an index; the method comprises the following steps of: preferentially performing plug-in scheduling on a temporary task, starting multi-satellite relay if a single satellite cannot complete the task, triggering collaborative rescheduling if the tasks fail, merging the fixed task and the temporary task for re-optimization, and simultaneously minimizing disturbance to the fixed task. According to the method, the resource utilization rate and the dynamic response capability are improved through the strategy of'insertion priority and rescheduling understanding ', the temporary task can be efficiently processed on the premise of guaranteeing fixed task execution, interference on an original fixed task plan is reduced, and the method is suitable for complex and changeable observation scenes.

Approaches presented herein provide systems and methods for dynamic allocation of processing units to increase computational density. Idle times between sequential processing tasks may be computed and, if the idle time exceeds a threshold capacity, additional sequential processing tasks may be allocated to a common processing unit. As a request, a first portion of a first sequential processing task may be executed, then a second portion of a second sequential processing task may be executed prior to executing a subsequent portion of the second sequential processing task. By using the idle time between portions of sequential processing tasks, output perform may be maintained while using additional processing capabilities that would otherwise remain idle.

A power consumption prediction and management method and system based on a solid state disk, a medium and a product relate to the field of solid state disks. The method comprises the following steps: predicting the workload intensity of a host in a first preset time window based on an I / O (Input / Output) instruction stream to obtain an expected host workload curve, and determining an expected host idle time period; calculating an expected host power consumption value in the expected host idle time period; extracting internal state parameters of the solid state disk according to the historical operation log data; establishing a background task triggering probability model, and calculating the triggering probability of starting the high-power-consumption background task by the solid state disk in a first preset time window; performing power consumption conflict judgment according to the expected host power consumption value and the triggering probability, and generating a comprehensive predicted power consumption value; and based on the comprehensive predicted power consumption value, determining an optimal target power consumption state, and instructing the solid state disk to be switched to the optimal target power consumption state. By implementing the technical scheme provided by the invention, the stability of state switching of the solid state disk is improved.

The invention provides a dual-runtime engine collaboration method and system for an industrial edge computing terminal. Relates to the technical field of industrial edge computing. The method is applied to a system comprising a real-time runtime engine, a non-real-time runtime engine, a shared memory module and a resource monitoring module, and comprises the following steps: executing a real-time task and / or a non-real-time task, and performing data interaction between the real-time runtime engine and the non-real-time runtime engine through the shared memory module, periodically acquiring a resource use state of a hardware platform through a resource monitoring module, and dynamically adjusting available resources allocated to an engine during non-real-time operation according to the resource use state; and when the idle time window exists in the scheduling period of the real-time runtime engine, executing the non-real-time task in the idle time window through the non-real-time runtime engine. According to the invention, collaborative optimization of the system on the aspects of time certainty, flexible resource allocation and low-latency data exchange can be realized.

The invention discloses a low-power-consumption control device, system and method of a memory, electronic equipment and a chip, and relates to the technical field of chips, and the low-power-consumption control device of the memory comprises a timing unit and an adjusting unit; the timing unit is connected with the adjusting unit, the timing unit is externally connected with a memory access service queue module, and the adjusting unit is externally connected with a low-power-consumption control module; the timing unit is used for determining a target idle duration when the memory access service queue is in an idle state and a low-power-consumption duration when the target memory is in a PD low-power-consumption state; the adjusting unit is used for adjusting the countdown of the target memory entering the PD low-power-consumption mode according to the target idle duration and the target PD low-power-consumption duration, so that the duration before the target memory enters the PD low-power-consumption mode is controlled through the low-power-consumption control module. The countdown of the target memory before entering the PD low-power-consumption state can be dynamically adjusted, so that the duration of entering the PD low-power-consumption state of the target memory is adjusted.

A system and method for universal static multi-transmit CPU design with a static pipeline for automatically parallelizing code is presented. A multi-core and / or multi-processor integrated circuit (2) has a plurality of processing units (21) and / or processing pipelines (53) that simultaneously process instructions for data by executing parallel processing machine code (32). The execution of the parallelized processing code (32) by the parallel processing multi-core and / or multi-processor integrated circuit (2) comprises the occurrence of a delay time (26), wherein the delay time is given by an idle time between the processing unit (21) returning the data after processing a specific instruction block of the processing code (32) for the data and receiving the data required by the processing unit (21) to execute a consecutive instruction block of the processing code (32). The parallel pipeline (53) comprises means for: (i) forwarding by providing a data forwarding from a MEM stage as an EX / MEM register to an EX stage as an ID / EX-stage register; (ii) exchanging by making the results of the Ex-ME-phase registers accessible by the Ex phase of a parallel pipeline (53) to provide a result exchange between the pipelines; and (iii) implementing branch pipeline refresh by providing control conflicts by refreshing only those pipelines (53) dependent on one pipeline (53) based on branch address computation conditions.

The invention discloses an intelligent integrated management system for shuttle vehicles, and belongs to the technical field of shuttle vehicles, and the system comprises S1, a vehicle scheduling module which receives vehicle state information and schedules vehicles according to task priorities; s2, a task distribution module, wherein the task distribution module receives warehouse order tasks and distributes the tasks to corresponding shuttle vehicles; s3, a path planning module, wherein the step S3 comprises obtaining shelf position information and planning an optimal driving path; and S4, an equipment monitoring module. The system can plan the optimal path in real time and reduce the empty driving time and waiting time of the shuttle vehicles, so that the transportation efficiency is greatly improved, the system can improve the order processing speed, remarkably shorten the cargo turnover period, support simultaneous operation of multiple shuttle vehicles, realize parallel processing of tasks, further improve the overall efficiency of warehousing operation, and reduce the labor intensity of workers in peak hours. The system can flexibly deploy vehicles and ensure that orders are processed in time.

The invention discloses a multi-experiment task production scheduling method, device and equipment and a storage medium, and the method comprises the steps: carrying out the sampling of a preset number of times for each production scheduling scheme based on the prior distribution of the duration of each experiment stage, and determining the starting time of each experiment operation, constructing a global time resource scheduling problem under the constraint conditions that the time window constraint of the experimental operation, the time period of the experimental operation belongs to the idle time period of the operation equipment and the time periods of the experimental operation distributed on the same operation equipment are not overlapped, and calculating the ratio of the infeasible times of the global time resource scheduling problem to the preset times; and if the risk value is lower than the risk threshold value, taking the production scheduling scheme as a target production scheduling scheme, and performing online scheduling of the experimental tasks according to the target production scheduling scheme, so that the method is suitable for production scheduling of high-throughput and diversified experimental tasks, and the risk of equipment resource conflict is reduced.

The invention discloses a data pre-reading method, electronic equipment, a storage medium and a computer program product, and relates to the technical field of communication, the method is applied to an operating system, the operating system comprises a general block layer, an IO scheduling layer and a block device driving layer, and the method comprises the steps that in a first idle period of the general block layer, the IO scheduling layer is switched to the block device driving layer; determining pre-reading window information based on the current reading request through the general block layer, wherein the pre-reading window information is used for indicating a pre-reading request of the to-be-pre-read object; applying for a first physical memory for the to-be-pre-read object based on the pre-read window information through the block device driving layer, wherein the first physical memory is used for making cache preparation for the to-be-pre-read object; wherein the first idle time period is a waiting time period for waiting to receive read request completion information after the general block layer issues the IO request corresponding to the current read request to the IO scheduling layer. According to the method and the device, under the condition of not increasing the overhead burden, the data reading rate of the operating system is improved, and the universality is relatively high.

The invention discloses a two-order loading value prediction design system based on path history information. The two-order loading value prediction design system comprises a path history register, a loading instruction address prediction table, a loading address reservation station, a value prediction table and a speculation conflict detection table, the invention also discloses a two-order loading value prediction design method based on path historical information. The method comprises the following steps: S1, predicting a memory address possibly accessed by a loading instruction through a loading instruction address prediction table; s2, storing the predicted memory address into a loading address reservation station; s3, when the load assembly line is idle, entering the load assembly line in advance, and accessing the data cache by using the memory address in the loading address reservation station; and S4, when the memory access instruction reaches a renaming stage, checking whether a predicted value exists in the value prediction table or not. The value of the loading instruction is predicted through the path information, and the prediction process can be more accurate.

The application discloses a file cleaning method and device, the method is executed by a file cleaning server, and the method comprises the following steps: setting a shared variable which can be accessed by a first component and a second component, the first component and the second component are asynchronous components; enabling the first component to detect a cleaning state of the current time, and determining the value of the shared variable according to the detected cleaning state of the current time; enabling the second component to read the value of the shared variable, and determining whether to clean the files to be cleaned according to a preset file cleaning strategy according to the read value of the shared variable. By introducing the shared variable of the cleaning state of the current time, the application can dynamically identify the time of the executable cleaning operation, effectively utilize the system idle time for file cleaning, and reduce the influence of cleaning a large number of files on actual business during the business peak period. In addition, the second component of the application detects the cleaning state of the current time through an asynchronous thread, and does not affect the execution efficiency of the main process.

The invention discloses a scheduling method of semiconductor process equipment and the semiconductor process equipment. The method comprises the following steps: according to idle time of a target chamber before the target wafer enters the target chamber to execute a process and a preset idle time threshold value, judging whether pretreatment operation corresponding to the process needs to be executed on the target chamber or not before the target wafer enters the target chamber; if it is determined that the pre-processing operation needs to be executed on the target chamber, determining that the target chamber needs to be idle continuously before the pre-processing operation is executed on the target chamber; and when it is monitored that the wafer to enter the target chamber is the target wafer and the continuous idle time of the target chamber reaches the time that the target chamber needs to be continuously idle, performing preprocessing operation on the target chamber. The corresponding operation executed by the preprocessing operation can be flexibly adjusted according to different processes. And the process requirement that pretreatment is just finished before the wafer enters the chamber can be met. Only one-time preprocessing operation needs to be executed, and resource waste is avoided.

The application discloses an intelligent scheduling control method for an automobile part automatic assembly line, and relates to the technical field of automatic control, which comprises the following steps: obtaining the task instruction response time length value and the node execution action state change value of each execution unit in a current scheduling period, and calculating the response delay value and the state fluctuation value of the corresponding node; generating a response efficiency value according to the response delay value and the state fluctuation value of each node, and generating a feedback control level label in combination with the node task attribute information; judging whether to perform compression processing based on the feedback control level label and the available idle time value of each node in the current scheduling period, and if the compression condition is met, encoding the response delay value and the state fluctuation value into a compressed feedback data frame; and completing the relay transmission of the compressed feedback data frame in a time period that meets the scheduling idle condition, so that the scheduling delay pressure control, task state accurate maintenance and instruction issuing sequence dynamic optimization of the automobile part automatic assembly line are realized.

The invention relates to method (200) and computing device (101) for decomposition of one or more computational problems The method (200) comprises obtaining (201) performance information of the one or more network nodes, the performance information comprising idle time of the plurality of tasks hosted on the one or more network nodes, and resource capability of the one or more network nodes. Upon determining (204) that a threshold condition on the idle time of one or more tasks is fulfilled, determining (203) one or more re-deploying configurations for a subset of the plurality of the tasks, based on the idle time information of the plurality of tasks, and on the resource capability of the one or more network nodes; and re- deploying (205), based on one of the one or more re-deploying configurations, the tasks of the subset associated with the one of the one or more re-deploying configurations.

An idle time prediction method for a system includes obtaining n idle durations corresponding to n time points, determining if the n idle durations are of a normal distribution, generating a probability according to m idle states corresponding to m idle durations of the n idle durations if the n idle durations are not normally distributed, selecting a predicted idle state according to the probability, and controlling the system to enter the predicted idle state, where n and m are integers larger than one, and m≤n.

The invention relates to the technical field of big data, and provides a transaction data processing method and device based on idle time, equipment and a medium, which can start a business thread to scan a market queue and a return queue in real time in a current transaction period so as to respond in time. In the continuous scanning process of preset times, when no new market information slice is scanned in the market information queue and no new return information is scanned in the return queue, calculating the current idle time according to an idle time determination strategy after the market information and the return are ensured to be processed; the operator type with high real-time performance is divided into the pre-calculation operator and the decision operator, the pre-calculation operator is processed in the current idle time, the decision operator is processed in the current transaction time, the idle time can be fully utilized, glitch time delay in the transaction process is reduced, and the performance and time delay penetration stability of a transaction system are improved.

The invention relates to the technical field of industrial control system physical layer state monitoring, and discloses an electromagnetic shielding effectiveness control system of a communication equipment connector, which comprises a protocol time sequence synchronization module, an idle noise acquisition module, a state identification and processing module and a decision and interface module, and after determining that continuous noise drift exists, the state identification and processing module firstly suppresses alarm output, communicates with other similar systems in a neighborhood so as to judge cooperative drift, and only releases suppression and outputs an alarm when determining that non-cooperative drift exists. An originally isolated single-point decision which may generate misjudgment due to global environment fluctuation is converted into a system-level diagnosis conclusion which is based on distributed consensus and can clearly distinguish local failure of the connector from global environment change, and the accuracy and reliability of state evaluation of the industrial control system in a complex electromagnetic environment are improved.

This application relates to a rule-based conflict resolution method and system for space TT&C resource scheduling. The method includes: obtaining space TT&C resource scheduling result data and multiple conflicting tasks, sorting the multiple conflicting tasks according to the priorities of the conflicting tasks to obtain a conflicting task order list; resolving the conflicts of the conflicting tasks according to the iterative repair rule in accordance with the conflicting task order list. If the resolution is not successful, then using the non-full arc segment optimization rule, increasing alternative idle time windows at the cost of gradually reducing the arc segment duration to resolve a single conflicting task, obtaining a resolved conflicting task list and an unresolved conflicting task list; resolving a single conflicting task in the unresolved conflicting task list according to the constraint relaxation rule by gradually relaxing the constraints at the cost of increasing alternative arc segments to obtain a resolved conflicting task list. Using this method can reduce the workload of manual conflict resolution and improve the efficiency of manual scheduling and resource utilization rate.

A method of performing logical qubit operations (17, 19, 25, 27, 29, 31) on an ensemble of logical qubits (1a-d), each logical qubit having a plurality of physical qubits (3), the method comprising: performing one or more rounds of single qubit logical operations (17, 19, 27, 29, 31) on each of a set of the logical qubits (1a-d); and performing a multi-qubit logical operation (25) using at least two of the set of logical qubits (1a-d), wherein the logical qubits (1a-d) involved in the multi-qubit logical operation (25) are synchronised prior to the multi-qubit logical operation (25) by one or more of: providing periods of physical idle time (21, 35, 37) between rounds of single qubit logical operations (17, 19, 27, 29, 31) performed on one or more of the logical qubits (1a-d) involved in the multi-qubit logical operation (25); and performing different numbers of rounds of single qubit logical operations (17, 19, 27, 29, 31) on the logical qubits (1a-15 d) involved in the multi-qubit logical operation (25) in a fixed period of time.

The embodiment of the invention discloses a casting cleaning production line intelligent scheduling control method based on multi-agent reinforcement learning, and the method comprises the steps: enabling each processing station and a carrying execution unit to make a decision according to an environment state through introducing a multi-agent reinforcement learning frame based on an established state space for casting cleaning production line scheduling, and achieving the intelligent scheduling control of a casting cleaning production line. Through global value function optimization, beat coordination and resource dynamic allocation between stations are realized, workpiece waiting time and equipment idle time are reduced, fixed beat or manual intervention is eliminated, and the overall utilization rate of a production line is improved. Based on the setting of the reward function, the system can automatically optimize the task allocation logic according to the actual operation state, manual adjustment of beat parameters is not needed, the debugging and maintenance workload of the system is remarkably reduced, and manual dependence and debugging cost are reduced.

Systems and methods for determining and reporting actual utilization of a core of a central processing unit (CPU) of a host. Prior to implementation of aspects of the present disclosure, running a poll querying endpoints of a process for work appears to the host's operating system as busy work (e.g., taking full use of the core for the poll duration). However, only a percentage of the duration of the poll is used to process a task of the process, where the remaining duration of the poll is spent querying the endpoints (idle time) and the core is not performing a task. Accordingly, a core utilization reporting system and method automatically detects the processing time of the tasks of a process, determines actual CPU utilization of the core based on a percentage of the time the core is busy polling (doing effectively no work) versus doing actual work (processing a task).

This application relates to an anti-interference wireless network communication method, apparatus, and computer device. The method includes: obtaining an idle time slot period and a working time slot period of an interference signal, where the idle time slot period and the working time slot period are determined based on the duration of an interference state and the duration of a non-interference state; during the working time slot period, controlling the communication module to be in a sleep state, and a router wirelessly communicatively connected to the communication module temporarily stores management frames for the communication module; during the idle time slot period, controlling the communication module to receive management frames sent by the router, so that the communication module and the router perform information interaction based on the management frames. Using this method can reduce communication costs.

The invention discloses a scheduling table generation method and system for a time-triggered service, and mainly solves the problem of high time solving complexity in a large-scale scene in the prior art. According to the implementation scheme, a TTE scheduling model and a service conflict graph are constructed, and a maximum connected subgraph is obtained; independently dividing each sub-graph into sets, dividing services into link-conflict-free groups in sequence in each set, and distributing the groups to free time slots in a time axis; judging whether a group of which the time slot is not successfully distributed exists in the current maximum connected sub-graph; if so, trying to distribute again through backtracking operation; if not, obtaining the sending moment of the service at the source end according to the time slot where the group of the service is located and the intra-group time slot offset of the service; and calculating the sending time and the receiving time of each switch and the receiving time of the destination end according to the sending time of the source end, and generating a conflict-free scheduling table. According to the method, the time complexity of scheduling solution is reduced, and the method can be flexibly applied to scheduling planning in various scenes such as unicast service, multicast service, redundant service and mixed service.