14 results about "Time transformation" patented technology

The invention provides a kinematics equation linearization method of normalized time, which converts a time variable under an absolute scale into a relative scale, thereby facilitating derivation and numerical calculation of an optimal control problem. Converting free time into time with boundary conditions by using normalized time, and converting time serving as a differential term in the motion equation into a multiplication term, so as to realize transformation of the motion equation; and according to the motion equation after time normalization, the time after normalization is optimized, and equivalent solution of an optimal control problem is realized. Equivalent solution of an original optimal control problem is realized, and derivation and numerical calculation of the optimal control problem are facilitated.

The invention relates to the technical field of industrial process soft measurement and quality control, and discloses a paper quality prediction method based on multivariate statistical latent variable fusion and space-time transformation, which comprises the following steps: acquiring space-time sequence data of a multi-source sensor in a papermaking process, constructing a space-time diagram structure reflecting a topological relation of equipment, and preprocessing. Then, multi-view latent variables are extracted through non-negative matrix factorization, independent component analysis and robust principal component analysis, attention fusion is conducted on the latent variables through an LV fusion module, and fusion latent variables are obtained; and inputting the fusion latent variable and original node data into a multi-scale convolution auto-encoder to obtain spatial feature embedding, and inputting the spatial feature embedding and the fusion latent variable into a space-time Transform module together to realize joint modeling of space correlation and time dependence. And finally, outputting a paper quality predicted value through a linear regression module. The method can achieve the accurate prediction of the paper quality under a high-dimensional and multi-noise working condition, and is suitable for online monitoring and modeling updating.

The invention discloses a physical training load regulation and control method and system based on self-adaptive physiological coupling, and the method comprises the steps: collecting an electrocardiosignal, a light volume pulse signal, a respiration signal, a surface electromyographic signal and a body surface temperature signal, and generating a multimode sequence with a time mark; self-adaptive time alignment is executed, a timestamp graph is constructed, clock drift estimation is carried out, segmented monotonic reversible time transformation is established, and a multimode sequence is mapped to a unified time axis; reconstructing the missing section and the artifact section, establishing a mask auto-encoder with physiological priori constraints, combining time domain consistency constraints and frequency domain consistency constraints, and outputting a continuous differentiable reconstructed sequence. According to the method, by introducing adaptive time alignment, cross-modal signal reconstruction and dual-time scale state modeling, coordinated recognition and dynamic load regulation and control of multi-source physiological signals are achieved, coupling analysis in the training process is more stable, and an individual model can be continuously and adaptively updated.

The invention relates to the technical field of intelligent control of a fully mechanized coal mining face of a coal mine, and discloses a large coal tracking processing method and device based on an image and a radar, and the method comprises the following steps: building a data package containing time synchronization information; resolving a real-time transformation matrix of a camera coordinate system relative to a mechanical arm base coordinate system based on the characteristics of a fixed calibration reference object in the data packet to realize dynamic external parameter calibration; a large coal target is recognized, point cloud depth information is combined, a real-time transformation matrix is called, and the real-time transformation matrix is mapped into static position coordinates under a mechanical arm base coordinate system; combining the speed of the scraper chain with a system response time window, and calculating predicted position coordinates of the large coal at the interception moment; and the motion track of the mechanical arm is planned, and the tail end executor is driven to execute processing operation on the target through closed-loop dynamic error correction. According to the method, the problems of coordinate system drifting and dynamic target tracking lag in a strong vibration environment are effectively solved, and accurate interception and efficient treatment of large coal are realized.

The application discloses an asymmetric S-curve transformation method and device, a terminal and a medium. The method comprises the following steps: acquiring current motion state data corresponding to a current S-curve, and determining an initial target speed based on system limit parameters corresponding to the current S-curve; calculating a key motion distance corresponding to the initial target speed based on the current motion state data and the initial target speed; processing the initial target speed based on the initial target speed and the key motion distance to obtain a target speed, and determining a target S-curve corresponding to the target speed based on the target speed. The application aims to realize real-time transformation of an asymmetric S-curve, and then realize real-time speed transformation at any moment of a motion process.

The application discloses a vector multiplication circuit for prediction optimization, which comprises a digital time converter (DTC), a 1T1R memory array, a weighting circuit and an analog-digital converter; the digital time converter (DTC) is used for converting input data into a fully coded time signal, the 1T1R memory array is used for receiving time information obtained after conversion by the DTC and accumulating current; the weighting circuit is used for weighting the current; and the analog-digital converter is used for analog-digital conversion of the current signal to generate a digital output. This structure can effectively reduce the calculation delay of vector multiplication; hierarchical weighting can greatly reduce the area consumption of the weighting circuit; and the prediction output can reduce the response time between the output and the input, so that the output can be applied to subsequent calculation more quickly.

The invention discloses a method and system for solving time zone delay in a cross-border fund collection set, and the method comprises the steps: generating the optimal collection instruction triggering time of a transnational branch company through a working time intersection algorithm and a daylight saving time adaptive UTC time difference dynamic calculation rule, and carrying out the fund collection operation based on the optimal collection instruction triggering time. Collection delay caused by time zone dislocation can be avoided; meanwhile, data synchronization after collection is carried out by means of a dual-mode data synchronization mechanism and a time synchronization mechanism based on a UTC time difference dynamic calculation rule, the problem of flow stagnation caused by inconsistency of cross-time zone data can be eliminated, the time difference calculation rule is dynamically adjusted based on daylight saving time and non-daylight saving time, time conversion errors can be avoided, and the time conversion efficiency is improved. In addition, the cross-time-zone manual guarding is not needed, the risk of manual errors is avoided, and the labor cost is remarkably reduced.

This invention provides a time conversion circuit and chip based on a differential delay chain. The differential delay chain-based time conversion circuit includes: a coarse delay chain, a first delay chain, a first trigger chain, a high-order encoder counter, a first low-order encoder, and a decoder. The differential delay chain-based time conversion circuit and time measurement method of this invention, employing a differential delay chain system architecture and corresponding internal testing and calibration methods, significantly improves time measurement accuracy.

The embodiment of the application provides a video stream image optimization method and device, a dynamic blur kernel generation mechanism is innovatively designed, space-time decoupling and physical constraints are used, and data processing safety is ensured. A content-motion double-branch network is constructed, residual connection and space-time transformation are combined, and a reliable feature reconstruction system is established. A physical constraint modifier is introduced, adaptive fusion and rule correction are used, user privacy is protected, and high-quality video output is provided. The method effectively solves the deficiencies of traditional technologies in blur processing, feature decoupling and image optimization.

The application relates to the field of automatic control of intelligent agricultural equipment, and particularly discloses a constraint control method for an intelligent mower based on fixed-time convergence. First, a kinematic model and a heading subsystem of a differential steering intelligent mower are established; a fractional time conversion function is constructed to complete time dimension conversion scheduling of the heading subsystem; a nonlinear mapping function is used to convert the constrained heading system into an unconstrained system; and finally, a nonlinear heading constraint controller based on the backstepping method is designed to realize fixed-time convergence. The application can guarantee that the heading angle converges to the expected value within a fixed time, and the constraint boundary is not exceeded throughout the whole process, thereby improving the response speed, control accuracy and operation safety of the heading control of the intelligent mower.

The invention provides a time conversion circuit based on a differential delay chain and a chip. The time conversion circuit based on the differential delay chain comprises a coarse delay chain, a first delay chain, a first trigger chain, a high-order encoding counter, a first low-order encoder and a decoder. According to the time conversion circuit and the chip based on the differential delay chain, a differential delay chain system architecture is adopted, and a corresponding internal test and calibration method is matched, so that the time measurement precision is greatly improved.

In various examples, a time conversion operation may be performed based at least on updating a first local clock of a component based at least on a reference clock of a system including the component. A difference between a current time of the first local clock and a current time of a second local clock of the component may be determined. A state of at least one of the reference clock, the first local clock, or the second local clock may be determined based at least on comparing the time difference to a previously determined difference between a time of the reference clock and a time of the second local clock.

The application provides an adaptive preset time control method and system for a flexible mechanical arm, relates to the field of control science and engineering, and comprises the following steps: constructing a dynamic model of the flexible mechanical arm and deducing a nonlinear system state equation; constructing a time transformation function and a coordinate transformation function based on the system state equation; constructing an adaptive preset time controller by using the time transformation function and the coordinate transformation function, connecting a dead zone compensator in series at the output end of the controller, compensating an ideal input control signal, obtaining an actual control input, and applying the actual control input to the flexible mechanical arm; and the application introduces the time transformation function into the control of the flexible mechanical arm, combines a Lyapunov function and an adaptive estimation method, finally outputs asymptotic tracking of a given tracking curve, guarantees global prescribed transient performance, and makes the performance indexes in terms of the stable time and the tracking precision able to be pre-assigned offline according to task requirements, instead of depending on initial states and any design parameters.