8results about How to "Solving Mismatch Problems" patented technology

The present application belongs to the technical field of temperature control, and particularly relates to a temperature self-adaptive control method for a paperboard drying production line based on PID, which comprises the following steps: collecting the oven temperature and the production line speed, and obtaining a smooth speed through filtering; then, the speed disturbance intensity is calculated by combining the speed change rate, the basic inertia constant and the logarithmic weighting factor, and the thermal response lag sensitivity representing the system vulnerability is constructed according to the temperature deviation; subsequently, the adaptive feedforward compensation flux is generated by fusing the basic linear compensation and the dynamic nonlinear compensation based on the lag sensitivity; finally, the adaptive feedforward compensation flux is superimposed with the PID feedback output to drive the heating mechanism. By quantifying the nonlinear impact of the speed change rate and the thermal lag characteristics of the system, the present application solves the lag and overshoot problems of the traditional control under the variable speed working condition, and improves the temperature control precision and stability of the production line.

This application provides a gradient-doped ferroelectric thin film device and its fabrication method, relating to the field of optoelectronic device technology. The gradient-doped ferroelectric thin film device comprises, from bottom to top, a substrate, a buried oxide layer, a buffer layer, and a ferroelectric thin film material layer; the ferroelectric thin film material layer is doped with impurity ions, with the doping concentration of the impurity ions increasing sequentially from bottom to top. This application, by employing a bottom-up incremental gradient doping design, optimizes the interface defects and internal stress of the ferroelectric thin film, overcomes the problem of lattice mismatch between ordinary ferroelectric thin films and the substrate layer, achieves improved crystal quality and enhanced electro-optic coefficient, and effectively improves the electro-optic effect.

The application discloses a point cloud semantic segmentation method and system based on multi-scale feature fusion and an attention mechanism, which comprises the following steps: preprocessing input point clouds, generating multi-scale features through progressive down-sampling and cross-scale feature interaction; constructing the multi-scale features into a hierarchical graph structure, connecting nodes in a layer through spatial topology, and connecting cross-scale nodes through scale mapping; calculating node geometric features based on the hierarchical graph structure, dynamically adjusting the attention neighborhood according to the regional geometric complexity, realizing cross-scale feature fusion through geometric perception attention; and learning and interacting the weights of the channel, space and scale dimensions of the fused features through multi-dimensional joint attention, and outputting a semantic segmentation result. The application explicitly models the topological association of multi-scale features through a hierarchical graph structure, overcomes the scale information breakage problem, realizes a good balance between efficiency and accuracy through a geometric perception attention mechanism and dynamic receptive field adjustment, and enhances the feature discriminability through multi-dimensional joint attention.

The application discloses a medical institution hospital infection protection measure evaluation method and system based on cost-benefit analysis, relates to the technical field of data processing, and comprises the following steps: collecting medical insurance policy release information and disease control early warning information; the application realizes adaptive identification and segmented modeling of continuous multi-breakpoint impact scenarios by constructing multiple homogeneous period models and organizing the models into a model library in time sequence, solves the problem that a single-breakpoint detection algorithm in the prior art cannot handle multi-breakpoint continuous impact and subsequent impact is forcibly classified into a segmented fragment, leading to model parameter mismatch, and guarantees the parameter accuracy of the evaluation model under different environmental stages; the discriminator outputs a probability value based on anchor data, and the output results of the previous homogeneous period model and the subsequent homogeneous period model are weighted and fused based on the probability value, smooth transition of the evaluation output in the junction window period is realized, and the continuity and reliability of the decision basis in the junction window period are ensured.

This invention discloses an online identification method for key parameters of a magnetically driven rotor for twin control. The method includes: constructing a parameterized digital twin model of the magnetically driven rotor, defining the time-varying key internal parameters in the model as parameter vectors to be identified; defining an objective function within a set time window, transforming the parameter identification problem into a nonlinear optimization problem that minimizes the objective function; adaptively identifying system parameters based on the LM optimization method to obtain parameter update vectors; passing the parameter update vectors to the system matrix of the parameterized digital twin model for state prediction at the next time step, and outputting the parameter update vectors to complete the online identification of key parameters. This invention effectively improves the accuracy, real-time performance, and embedded platform adaptability of parameter identification, providing a reliable model foundation for high-precision control, performance degradation monitoring, and predictive maintenance of magnetically driven rotors.

The invention belongs to the technical field of temperature control, and particularly relates to a PID-based temperature adaptive control method for a paperboard drying production line, and the method comprises the steps: collecting the temperature of a drying oven and the speed of the production line, and obtaining a smooth speed through filtering; calculating the speed disturbance intensity by combining the speed change rate, the basic inertia constant and the logarithmic weighting factor, and constructing the thermal response lag sensitivity representing the system vulnerability according to the temperature deviation; then, basic linear compensation and dynamic nonlinear compensation based on hysteresis sensitivity are fused, and self-adaptive feed-forward compensation flux is generated; and finally, the signal is superposed with PID feedback output so as to drive a heating mechanism. According to the method, by quantifying the nonlinear impact of the speed change rate and the thermal hysteresis characteristic of the system, the hysteresis and overshoot problems of traditional control under the variable speed working condition are solved, and the temperature control precision and stability of a production line are improved.

This invention discloses an off-grid DOA estimation method and system for polar impulse noise environments, belonging to the field of polar underwater acoustic detection. The method includes: obtaining an array received data matrix based on signals received through a uniform linear array with half-wavelength spacing; initializing the maximum number of iterations, column full-rank random matrices, and row full-rank random matrices; iteratively solving the improved mixed correlation entropy of the residual fitting error matrix as the objective function for subspace decomposition optimization based on the maximum mixed correlation entropy criterion to obtain the optimized array received data matrix; and using an iterative sparse projection algorithm to jointly estimate the sparse signal matrix and grid offset based on a new off-grid model constructed using multi-order Taylor expansion terms, thereby estimating the target's DOA. This invention overcomes the grid mismatch problem to achieve high-precision estimation of target location and exhibits good performance in both Gaussian noise and impulse noise environments.

The invention discloses a lithium battery SOC adaptive estimation method based on multi-mode fusion. A data acquisition and processing module, a multi-mode fusion estimation module and an adaptive parameter optimization module are included. According to the method, multi-source data such as voltage, current, temperature and the like are collected in real time, online parameter identification is carried out by adopting a least square method with a joint adaptive forgetting factor and noise covariance, the online parameter identification is combined with extended Kalman filtering, ampere-hour integration and static calibration, dynamic fusion is carried out according to confidence, and an optimal SOC estimated value is output; according to the method, the problem that the precision of a traditional single estimation method is reduced under a complex working condition is effectively solved, and the robustness and accuracy of SOC estimation of the lithium battery under the conditions of a full life cycle, a wide temperature range and variable loads are remarkably improved.