Patents
Literature
Patsnap Eureka AI that helps you search prior art, draft patents, and assess FTO risks, powered by patent and scientific literature data.

6 results about "Time transformation" patented technology

Asymmetric s-curve transformation method and device, terminal and medium

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.
Owner:CHENGDU CRP ROBOT TECH CO LTD

Video stream image optimization method and device

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.
Owner:BEIJING FUSHENG QUANTUM TECH CO LTD

A fixed-time convergence-based intelligent mower constraint control method

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.
Owner:SINGULARXYZ INTELLIGENT TECH LTD

Numerical simulation method of calibration and time transformation of seepage parameters considering cross-scale grid characteristics

PendingCN122452149AScale modelThermodynamics
The present application relates to a numerical simulation seepage parameter calibration and time conversion method considering cross-scale grid characteristics. First, the coal sample is subjected to water immersion test in the laboratory; then a small-scale coal sample model consistent with the size of the coal sample is established, and a clear correspondence between the laboratory coal sample seepage time and the seepage calculation step of the small-scale coal sample model in numerical simulation is established, solving the problem that the calculation scale of the engineering scale coal body model is high, the size of the coal body in the actual engineering is huge, and it is difficult to comprehensively measure the seepage parameters. Then, the seepage characteristic length and the cross-scale seepage characteristic time conversion relationship are introduced, the relationship between the small-scale coal sample model and the engineering scale coal body model is established, and the bridging effect of the small-size coal sample model is used to establish a clear correspondence between the laboratory coal sample seepage time and the seepage calculation step of the engineering scale coal body model in numerical simulation, so that the actual seepage time corresponding to the existing calculation step result of the engineering scale model can be calculated.
Owner:INNER MONGOLIA RESEARCH INSTITUTE CHINA UNIVERSITY OF MINING AND TECHNOLOGY (BEIJING) +1