52 results about "Virtual time" patented technology

The invention relates to the technical field of intelligent control, in particular to a multi-mode-based intelligent home control method and system, and the method comprises the following steps: S1, synchronously collecting a voice stream and an action video stream of a user, and respectively extracting a semantic anchor point of a voice instruction and a spatial anchor point of an action track; s2, constructing a virtual time axis, mapping the semantic anchor points and the spatial anchor points to a unified space-time coordinate system, and performing anchor point deviation correction on a mapping result based on an environment semantic field to generate an alignment instruction set; and S3, performing intention fusion on the alignment instruction set according to the spatial topological relation of the equipment, generating an equipment control instruction, and triggering execution. According to the method, the fault tolerance and execution rationality of fuzzy instructions or wrong finger behaviors are improved, the method is particularly suitable for family scenes with dense multiple devices and frequent environment dynamic changes, and the practicability and the intelligent level of the system are remarkably improved.

The invention relates to the technical field of constructional engineering informatization management, and discloses a constructional engineering full-period collaborative management and risk prediction system, which comprises a resource token definition module, a resource token generation module, a resource management module and a risk prediction module, and is characterized in that physical elements are mapped into discrete resource tokens configured with unit time delay charge rates; the process transactional modeling module is used for packaging the process into an atomic transaction unit containing a request and a release instruction; the discrete event rehearsal simulation engine executes circulation in the virtual time axis and records the hanging duration; the deadlock detection module monitors the occupancy topology in real time to identify a loop waiting closed loop; according to the dynamic priority arbitration logic, an accumulated lag weight value is calculated according to the product of the rate and the duration, resources are forcibly allocated accordingly to eliminate deadlock, the dynamic arbitration algorithm based on the time value gradient is constructed, the physical lag cost is converted into the calculation weight, and the capacity of the system for automatically converging to the optimal solution under complex constraints is improved.

The invention discloses a task scheduling method and device, equipment, a storage medium and a product, and relates to the technical field of task scheduling, and the method comprises the steps: obtaining the virtual time and task request time of a to-be-scheduled task during task scheduling; adding to-be-scheduled tasks into an initial queue in sequence based on the task request time; obtaining a traversal interval and a target fence threshold value dynamically adjusted according to the current load of the system; traversing the initial queue according to the traversing interval, and determining a target to-be-scheduled task from the initial queue according to the target fence threshold and the virtual time; and removing the target to-be-scheduled task from the initial queue, adding the target to-be-scheduled task into the working queue, and completing task scheduling according to the working queue. The task scheduling strategy is dynamically adjusted according to the system load, it is ensured that the system is not overloaded during high load, the stability and reliability of the system are improved, the scheduling task with the high priority is determined according to the virtual time, the task waiting time is shortened, and the scheduling efficiency is improved.

Examples described herein provide a computer-implemented method that includes receiving a plurality of profiles corresponding to at least one of a plurality of virtual machines. Each of the plurality of profiles defines a validity period and an allowable variation of time. The method further includes determining, based at least in part on the validity period, a subset of the plurality of profiles that are active. The method further includes calculating a uniform distribution for virtual clocks of each of the subset of the plurality of virtual machines and determining a desired offset. The method further includes adjusting a virtual clock frequency of a virtual clock based at least in part on the desired offset and the allowable variation of time. The adjusting causes a difference between a real time-of-day clock and a virtual time-of-day clock of the at least one of the virtual clocks to increase.

A method includes receiving a plurality of operations in a sequence recipe. The plurality of operations is associated with processing a plurality of substrates in a substrate processing system. The method further includes identifying a plurality of completion times corresponding to the plurality of operations. Each completion time of the plurality of completion times corresponds to completion of a respective operation of the plurality of operations. The method further includes simulating the plurality of operations by setting a virtual timeline for each of the plurality of completion times to generate a schedule for the sequence recipe. The method further includes causing the plurality of substrates to be processed or performing a corrective action based on the schedule.

The application provides a virtual power plant dynamic feasible region solving method and system based on coupling constraint decoupling, belongs to the technical field of power plant resource allocation management, establishes a virtual power plant model considering distributed energy and flexible load resources, and determines a virtual power plant feasible region solving model based on a vertex search method; through Lyapunov optimization, virtual queues of energy storage, heating ventilation air conditioning and electric vehicles and other flexible loads are respectively established, and the time coupling constraint of the flexible load is decoupled into a virtual queue stability problem; a virtual time queue is constructed to integrate the decoupled optimization problem into the virtual power plant dynamic feasible region solving of day-ahead and day-ahead, so that the day-ahead and day-ahead feasible region solving algorithm is obtained. Based on the Lyapunov optimization theory, the time coupling constraint is decoupled, a weight coefficient is introduced, and a mathematical model taking the vertex search and queue stability as targets is provided, and finally the virtual power plant dynamic feasible region solving of day-ahead and day-ahead is realized.

Certain aspects of the present disclosure provide techniques for a virtual time division duplex (TDD) pattern. An example method wireless communications by an apparatus includes obtaining an indication of one or more TDD transmission patterns, wherein the one or more TDD transmission patterns indicate that a first downlink slot is followed in time by one or more first uplink slots, and that the one or more first uplink slots are followed in time by a time period, and wherein the one or more TDD transmission patterns further indicate a duration of a propagation delay for communications with a network entity based at least in part on the time period; and communicating with the network entity based at least in part on the one or more TDD transmission patterns and the duration of the propagation delay.

A collaborative session (e.g., a virtual time capsule) in which access to a collaborative object and added virtual content is selectively provided to participants / users. In one example of the collaborative session, authentication of the collaborative object is performed by all of the users to complete the collaborative session. Each user authenticates the collaborative object, such as using a stamping gesture on a user interface of a client device or in an augmented reality session. User specific data is recorded with the stamping gesture to authenticate the collaborative object and the associated virtual content. In an example, user specific data may include device information, participant profile information, or biometric signal information. Biometric signal information, such as a fingerprint from a mobile device or a heart rate received from a connected smart device can be used to provide an authenticating signature to the seal.

The present application relates to the field of remote microsurgery robot control, and specifically provides a trajectory smoothing control method and device based on network time delay and electronic equipment. The method comprises: calculating the time interval of the current time node and the historical time node reaching the remote microsurgery robot; determining the target data packet quantity in the slave end buffer according to the time interval; in the case that the current data packet quantity in the slave end buffer is greater than 0 and the time interval is less than or equal to the preset time interval, determining the time scaling factor according to the difference between the current data packet quantity and the target data packet quantity in the slave end buffer, thereby calculating the virtual time step, and then determining the instruction pose of the current control cycle period of the slave end through interpolation; the instruction pose is used to control the moving trajectory of the slave end in the current control cycle period. The technical scheme provided by the present application can improve the smoothness of remote microsurgery robot control in network jitter.

The invention relates to the technical field of collaborative scheduling management, in particular to a tide and weather linkage scheduling method for port operation collaboration, which comprises the following steps of: setting a benchmark, creating a virtual time axis, the initial state of the virtual time axis being a standard uniform elapsed time axis; marking an effective operation time window on the virtual time axis according to forecast tide data; performing correction according to the forecast meteorological data to generate a deformation time axis; calculating a starting time point and duration of each operation link on a deformation time axis, and reversely deducing a collaborative operation instruction sequence to form a final scheduling scheme; and dynamically adjusting the deformation time axis, and triggering rolling optimization of the final scheduling scheme. According to the method, it is guaranteed that the scheduling scheme is always unfolded around the core target of safe departure, time consumption of non-critical paths is reduced to the maximum extent, and the scheduling failure problem that in a traditional method, scheduling is completed, but departure fails is avoided.

The present disclosure relates to the technical field of communications, and provides an information processing method, an apparatus, a device, a readable storage medium, and a program product, so as to improve inventory efficiency. The method comprises: acquiring first information, wherein the first information comprises one or more of first sub-information, second sub-information, and third sub-information; receiving a first message sent by a network device, and decrementing a time slot counter value according to the first message to obtain a value of a current time slot count; and sending a response sequence to the network device according to the value of the current time slot count and the first information, wherein the first sub-information is used for indicating a length of a virtual time slot response window, the second sub-information is used for indicating a number of selectable slots or a number of sub-groups, and the third sub-information is used for indicating a length.

The application discloses a large-scale tubular pump water pressure oscillation amplitude prediction method based on a virtual target point matrix, and belongs to the technical field of large-scale low-lift water transfer projects. The method is as follows: the related characteristic parameters of a large-scale tubular pump device are determined, and the characteristic time sequence coordinates of a guide vane inlet section observed from the guide vane inlet direction are defined; the virtual time sequence target point matrix, the virtual wheel disc target point matrix and the radial extension function are calculated based on the characteristic parameters and the characteristic coordinates of the concerned points; and the water pressure oscillation amplitude of the guide vane inlet is calculated based on the obtained radial extension function. For a given large-scale tubular pump device, the water pressure oscillation amplitude at any concerned position of the guide vane inlet section can be quickly and accurately estimated by the application, which is simple, efficient and solves the problem that the existing method cannot accurately predict the water pressure oscillation amplitude of a large-scale tubular pump device under large-scale and multi-time sequence conditions, thereby providing reliable technical support for the quantitative evaluation of the hydraulic stability of the large-scale tubular pump device.

Time of day (ToD) registers provide respective virtual ToDs corresponding to the occurrence of edges of input clock signals being supplied to an integrated circuit. The integrated circuit generates a heartbeat clock signal having a frequency higher than a SYNC signal and time stamps the heartbeat clock signal to generate heartbeat time stamps. The heartbeat time stamps are used along with the time stamps of the input clock signals to determine the time of day corresponding to occurrences of edges of the input clock signals.

The invention discloses a multi-time-scale adaptive step length real-time simulation method and system based on event driving, which are used for solving the technical problem of low overall simulation efficiency caused by frequent idle waiting of a large amount of redundant calculation and chip resources in the existing real-time simulation technology. The method comprises the following steps: after acquiring a model configuration file, an initial state parameter and a plurality of external excitation signals, outputting initial local time and a ready state of each chip by a plurality of encodable chips according to the model configuration file, the initial state parameter and the external excitation signals; based on neighbor time information broadcasted by the virtual time synchronizer, an external excitation event, a ready state of each chip and initial local time, generating a current event priority queue, prediction characteristics of each chip and a current safety time window; the step length predictor generates a final actual step length according to the prediction features and the current safety time window; and performing simulation by combining the final actual step length, the initial local time of each chip, the queue head event time and the current global minimum time, and outputting a target simulation report.

The application relates to the technical field of building engineering information management, and discloses a building engineering whole-cycle collaborative management and risk prediction system, which comprises a resource token definition module, a process transaction modeling module, a discrete event pre-performance simulation engine and a deadlock detection module. The resource token definition module maps physical elements into discrete resource tokens which are configured with unit time lag rate. The process transaction modeling module encapsulates a process into an atomic transaction unit containing request and release instructions. The discrete event pre-performance simulation engine executes flow transfer on a virtual time axis and records the suspension duration. The deadlock detection module monitors the occupation topology in real time to identify a cyclic waiting closed loop. A dynamic priority arbitration logic calculates a cumulative lag weight value according to the product of the rate and the duration, and forcibly allocates resources according to the cumulative lag weight value to eliminate the deadlock. The application converts physical lag cost into a calculation weight by constructing a dynamic arbitration algorithm based on a time value gradient, and improves the ability of the system to automatically converge to an optimal solution under complex constraints.

The present invention discloses an automatic inspection method for intelligent manufacturing, which relates to the technical field of equipment inspection and solves the problem that when data is inspected and recorded in a top-down manner and some nodes of some equipment fail to generate data in time, the system will be left waiting, thereby prolonging the inspection time. The present invention prioritizes confirming the inspection record collection node, and then analyzes whether the corresponding node is a normal point or an abnormal point, and then analyzes the point data of the abnormal point to confirm the interval time difference between the past time. Subsequently, the virtual time point corresponding to the abnormal point is obtained, and then the specific time point of the virtual time point is used to construct a sorting table of the abnormal point, and then the overall inspection record collection table is generated by combining with the normal point. The inspection system collects the inspection data according to the inspection record collection table, changes the original data inspection collection method, improves the automatic inspection efficiency, and fully reduces the automatic inspection time.

The invention provides an automatic measurement type sizing machine working parameter transmission method and system, and relates to the technical field of industrial automation, and the method comprises the steps: generating a physical timestamp and a virtual timestamp for a working parameter, and calculating the virtual timestamp according to the accumulated operation time delay of yarn and the section position; identifying the cross-section parameters of the same virtual timestamp as associated parameters acting on the same section of yarn; when detecting that the parameter is abnormal, predicting the moment when the yarn reaches the downstream target section based on the virtual timestamp, and improving the transmission priority in advance; and reversely correcting the yarn running speed by using the transmission delay difference of the data frames with the same virtual timestamp so as to realize parameter transmission optimization.

The invention discloses a high-performance time sequence parallel simulation system and method based on a time acceleration and synchronous control mechanism, and belongs to the technical field of high-performance parallel calculation. The system comprises a timing trigger module, a time mapping engine module, a task generation and distribution module, a parallel processing module, a synchronous blocking module, a state aggregation module and a visual output module. By establishing a double-layer time system of physical time takt-simulation time window, a time mapping engine dynamically calculates the number of virtual time steps needing to be propelled according to acceleration multiplied speed, and acceleration mapping of physical time and simulation time is achieved. The parallel processing module executes tasks in a thread pool with a fixed size, and the synchronous blocking module performs unified time sequence control on execution of each thread through a counting synchronizer, so that state consistency and calculation reproducibility under a high-speed operation condition are ensured. And the state aggregation module is used for integrating the synchronized local calculation results and updating the global system state. According to the method, high-speed simulation and high-fidelity playback of large-scale time-dependent data are realized on the premise of not damaging sequential logic, and the modeling verification efficiency and stability of a complex system can be remarkably improved.

The application belongs to the technical field of parallel discrete event simulation and network system simulation, and discloses an intelligent hybrid parallel synchronization method for large-scale distributed simulation, which collects key operation indexes such as neighborhood timestamp lower bound, next event time, round-trip delay quantile value, cross-partition event output rate and virtual time jitter, evaluates system load and communication state in real time, judges the best time to enter optimism or rollback conservation based on the collected key operation indexes, prevents frequent switching by using hysteresis mechanism and minimum residence time, sets time-bounded gates at the mode switching boundary, only allows events within the safe range to propagate, temporarily stores events exceeding the range and sends them in batches when the conditions are met, and thus guarantees causal consistency. The application takes into account real-time performance and robustness, shortens the global empty waiting time, facilitates real-time online acceleration and stable submission in a simulation platform and a message passing interface, and has both performance and interpretability.

The application discloses a toy remote interaction delay alignment method and system based on a software development kit, relates to the technical field of remote interaction control, and comprises the following steps: establishing an inter-user media session among a plurality of control terminals and establishing a control session between the control terminal and the toy; the software development kit collects a control instruction sending timestamp and a toy execution timestamp to calculate a control link delay, and acquires a media link delay of the inter-user media session; a compensation amount is calculated according to a delay difference value, a virtual time axis and a control instruction buffer queue are established, and the sending is dispatched according to the generation time plus the compensation amount; in a multi-user scenario, a collaborative time track containing the expected effective time of each control behavior is constructed, and a recommended collaborative control time window is given. The fine-grained alignment of the control link and the media link is realized, the delay fluctuation is inhibited, and the synchronicity and the sense of immersion of the multi-user remote interaction toy are enhanced.

The invention relates to a task execution playback method and device, computer equipment, a storage medium and a computer program product. The method comprises the steps of obtaining a current virtual time point based on a query task playback instruction, wherein playback page data corresponding to the query task playback instruction comprises task execution data corresponding to a query task; determining a current playback node and a played-back node based on the current virtual time point and a playback virtual time range of each task node corresponding to the query task in the task execution data, and calculating a node execution result playback progress corresponding to the current playback node; and displaying the played-back node and the current playback node in a playback page corresponding to the playback page data, and synchronously displaying playback content in the current execution result, the playback content being determined based on the playback progress of the node execution result and the current execution result corresponding to the current playback node in the task execution data. By adopting the method, the display accuracy of the query task can be improved.

Time of day (ToD) registers provide respective virtual ToDs corresponding to the occurrence of edges of input clock signals being supplied to an integrated circuit. The integrated circuit generates a heartbeat clock signal having a frequency higher than a SYNC signal and time stamps the heartbeat clock signal to generate heartbeat time stamps. The heartbeat time stamps are used along with the time stamps of the input clock signals to determine the time of day corresponding to occurrences of edges of the input clock signals.

A computer system implements a unified framework integrating an adaptive elastic funnel (AEF) with a convergent intelligence fabric (CIF) for multi-agent AI collaboration. The system provides a multi-layer key-value subsystem for sharing computations across GPU partitions, applying hybrid placement strategies for dynamic memory management. It unifies physical GPU sub-allocation and virtual GPU time-slicing through a common abstraction layer while maintaining isolation through policy-based multi-tenancy. A predictive resource orchestration system forecasts computational needs, while speculative data scheduling proactively manages memory access patterns. The architecture includes risk-based scheduling for uncertain workloads, test-time compute scaling, and federated learning for edge collaboration. This framework delivers computational efficiency, security, and adaptive intelligence in high-dimensional environments while supporting incremental adoption through modular interfaces.

The application provides a slasher working parameter transmission method and system of automatic measurement, relates to the technical field of industrial automation, and comprises generating a physical timestamp and a virtual timestamp for a working parameter, wherein the virtual timestamp is calculated according to yarn cumulative running time delay and section position; cross-section parameters with the same virtual timestamp are identified as associated parameters acting on the same section of yarn; when an abnormal parameter is detected, the time when the yarn reaches a downstream target section is predicted based on the virtual timestamp, and transmission priority is improved in advance; and the running speed of the yarn is reversely corrected by using the transmission delay difference of the same virtual timestamp data frame, so that parameter transmission optimization is realized.

A system maintains sub-queues used for storing packets. A respective packet is enqueued into a sub-queue and dequeued by a scheduler. A virtual time associated with the respective packet is based on a current sub-queue virtual time corresponding to a previously enqueued packet in the sub-queue. The scheduler tracks a global virtual time based on dequeuing packets from the sub-queues and by advancing the global virtual time in response to completing a scheduling round. The system inserts a packet into a sub-queue which is previously empty. In response to a virtual time associated with the sub-queue being earlier than or equal to the current global virtual time, the system schedules the sub-queue before the non-empty sub-queues. In response to the virtual time associated with the sub-queue being later than the current global virtual time, the system schedules the sub-queue for forwarding packets after the non-empty sub-queues.

The invention belongs to the technical field of parallel discrete event simulation and network system simulation, and discloses an intelligent hybrid parallel synchronization method oriented to large-scale distributed simulation. The method comprises the following steps of: evaluating the load and communication state of a system in real time, acquiring key operation indexes, judging to enter an optimistic or conservative optimal opportunity, and preventing frequent switching by utilizing a hysteretic mechanism and minimum residence time, so as to achieve the aim of improving the communication performance of the system, such as a neighborhood timestamp lower bound, next event time, round-trip delay quantile, cross-partition event output rate, virtual time jitter and the like. A time bounded gate is arranged at a mode switching boundary, only events in a safe range are allowed to spread, events exceeding the range are temporarily stored and sent in batches after conditions are met, and therefore causal consistency is guaranteed. According to the method, the real-time performance and the robustness are both considered, the global null waiting time is shortened, real-time online acceleration and stable submission are conveniently realized in a simulation platform and a message passing interface, and the method has both performance and interpretability.

The application provides an EDA platform operation and maintenance method, system, device and readable storage medium. The method comprises the following steps: collecting infrastructure indexes, job scheduling states, EDA tool running logs and license occupation data of an EDA computing cluster, and constructing a three-level digital twin containing a tool chain behavior model, a resource state model and a design process dependency model; defining an action space containing task distribution, node selection and parameter configuration, imposing a rule mask on the action space based on EDA engineering hard constraints, and filtering actions that violate license quota, process library compatibility requirements or design process dependency logic; inputting the effective actions after the mask into a simulation engine, deducing the performance of the candidate scheduling strategy in the virtual time domain, and generating optimal scheduling instructions based on the deduction result and executing the instructions. Compared with the prior art, the application can accurately predict and avoid the noisy neighbor effect. At the same time, invalid scheduling and deadlock are avoided.

This invention proposes a method, device, and readable storage medium for testing the time consistency of digital therapy applications. Addressing the issues of the inability to simulate the time effects of real devices and the lack of clinical constraint verification in long-term digital therapy testing, this method parses configuration information to obtain a set of time attributes for treatment tasks; constructs a virtual timeline engine to run an independent simulated clock, using acceleration factors and superimposed clock drift to simulate time base deviation; employs system API hooks and middleware proxies to construct a transparent proxy layer, intercepting and redirecting the clock interface to achieve decoupled injection of the simulated clock and the absolute reference clock; and synchronously collects application-aware timestamps and real timestamps of trigger events during operation, automatically verifying time consistency based on clinical time-series constraint rules. This invention is primarily used for reliability verification and compliance certification of time-sensitive medical digital therapy software.

The application discloses a multi-source heterogeneous fusion distributed layered time scale system construction method, system, equipment and storage medium, and relates to the technical field of time frequency standard and time reference construction. The method comprises the following steps: a distributed layered framework containing a plurality of parallel first-level units in a first layer and one second-level unit in a second layer is constructed, and space, type and affiliation information of time frequency sources are collected; the time frequency sources are grouped according to a grouping strategy, each unit is arranged in different data centers, and a distributed first-level time scale is generated through differential processing; the first-level time scale is represented as a virtual time frequency source and participates in comparison, and is input into the second-level unit; a second-level time scale is generated through virtual comparison; and based on a layered time scale algorithm and an elastic strategy, a final time scale output is dynamically updated and generated. The application can continuously output a time scale meeting stability and continuity requirements, and improves the expandability and elasticity of a time reference system.

The invention relates to a nonlinear system control method, device and equipment based on preset time convergence, and relates to the technical field of system control. The method comprises the following steps: carrying out general linearization processing on a time-varying physical system containing nonlinear factors to obtain a small-disturbance linearization state-space equation; state feedback association is constructed in an actual time domain, so that the time-varying physical system realizes asymptotically stable convergence; setting a time-varying scaling function; converting the small disturbance linearization state space equation into a virtual time domain control equation; state feedback association is constructed again in the virtual time domain, so that the time-varying physical system realizes asymptotically stable convergence; reversely converting the second control variable to the actual time domain according to the conversion relation to obtain a target control variable; and the target control variable acts on the small disturbance linearization state-space equation, so that the time-varying physical system realizes preset time convergence in an actual time domain. The method can ensure that the nonlinear system converges based on the preset time, and the engineering usability is high.