6 results about "Time variations" patented technology

This invention discloses a method for predicting robot motion under time-varying delay conditions. The method determines the number of secondary predictors and their gain parameters based on the maximum time delay, the robot's initial joint position, and the initial joint velocity. The time-varying prediction interval of each secondary predictor is determined by the time-varying delay magnitude. The robot's state from time-delayed motion to the current motion interval is divided into motion sub-states, the same number as the number of secondary predictors. Secondary predictors are constructed, the same number as the number of motion sub-states. The secondary predictors are connected in series, with the time-varying delay robot joint position and velocity signals as input to the first secondary predictor, and the predicted values ​​output by the previous secondary predictor as input to each subsequent secondary predictor. The last secondary predictor outputs the predicted values ​​of the robot's actual joint position and actual joint velocity. This invention offers high prediction accuracy, wide applicability, ease of engineering application and promotion, and contributes to the development of robotics technology.

A machine-learned architecture may predict a set of spatially-diverse paths that an object may take in the future. The paths generated by this architecture may be time-invariant (e.g., not identifying a time at which the object may occupy a position along one of these paths) but can be used by a second machine-learned model to predict progress in time along these paths. This segregation of the spatial paths and progress in time along the paths improves the accuracy of the ultimate prediction and better captures rare object behavior.

The method can involve displaying a multitude of parallel graphs, each extending linearly from a first end to a second end along a time axis spanning incremental time values. Each graph represents a sequence of severity levels for a given parameter, encoded as different colors or shades across these incremental time values. The incremental time values ​​are the same for each of the multiple graphs, so severity levels oriented perpendicular to the time axis correspond to time points. The resulting dashboard can help transform complex analyses into key performance indicators and / or identify areas of interest in large databases.

This invention provides a method, apparatus, equipment, and medium for production prediction based on time-varying reservoir parameters. The method includes the following steps: S1, establishing a variable decline exponential production decline model for tight gas reservoir wells; S2, collecting historical gas production data of tight gas reservoir wells, and confirming the second undetermined characteristic parameter β and establishing a first linear model based on linear fitting of lnq and t / (lnt)β, wherein the slope of the first linear model is -α and the intercept is lnq. i Value; and S3, confirming the theoretical initial output q based on the first linear model. i The invention uses a first undetermined characteristic parameter α to predict gas well production using the variable decline exponent production decline model. This invention better reflects the production decline law of tight gas wells, is simple to operate, and has higher prediction accuracy than traditional decline models with a constant decline exponent. It can be widely used for production decline prediction in tight gas reservoirs.

This invention provides a circular queuing and forwarding method based on shadow queues to absorb time variations, relating to the field of time-sensitive networking technology. The method includes: S1, filtering data frames that meet real-time service conditions; S2, combining the arrival time of the data frame, the global synchronization clock, and the period offset, controlling the gating time window opening and closing state of the sub-queue to be delayed relative to the main circular queue, and selecting a target queue to receive the data frame; S3, generating period tags for the data frames in each target queue; and S4, sending the data frame based on the period tags. This invention, based on the circular queuing and forwarding mechanism, introduces a shadow queue composed of two sub-queues, and sets the gating time window opening and closing state of the sub-queue to be delayed relative to the main circular queue. This allows the sub-queue to receive delayed data frames and catch up with normally arriving data frames when sending data frames, thus ensuring that the data stream is transmitted within a precise time period.

The application discloses a kind of compensation method, device and electronic equipment of message, it is related to artificial intelligence field, the method includes: obtaining the message that target application sends to message queue theme from message queue theme, obtains first message;According to the network fluctuation law of target application with time variation, predict target time period of target application network stability, and feedback target time period to target application;Obtain the message that target application sends in target time period, obtain second message, and compare first message and second message, obtain target comparison result;In the case where according to target comparison result determines that first message is different from second message, compensation message is sent to message queue theme, wherein, message queue theme is used to determine second message according to compensation message and first message.The application solves the technical problem that when the message that application sends to message queue is lost in the prior art, the application needs to resend the message, thereby affecting the working performance of the application.