6 results about "Impact model" patented technology

Scanner aberration impact modeling in semiconductor manufacturing processes is described. Scanner aberration impact modeling can facilitate co-optimization of multiple scanners. Scanner aberration impact modeling can include executing a calibration model and controlling a scanner based on output from the model. The model is configured to receive patterning system aberration data. The model is calibrated with patterning system aberration calibration data and corresponding patterning process impact calibration data. New patterning process impact data for the received patterning system aberration data can be determined based on the model. The model includes a hyperdimensional function configured to associate the received patterning system aberration data with the new patterning process impact data. The hyperdimensional function is configured to associate the received patterning system aberration data with the new patterning process impact data in an approximate form, rather than full simulation, and without involving computation of aerial images or representations thereof.

The application provides a block analysis method for a transient strong impact non-stationary response signal, a storage medium and computer equipment, belongs to the field of non-stationary impact response signal processing, strong impact model test and nonlinear dynamics analysis, and solves the problems that the traditional method cannot objectively identify the stage dynamics evolution of the transient strong impact non-stationary response signal, cannot adaptively extract a local approximate stationary block in the same stage, and finally cannot reveal the system motion evolution law and cannot support subsequent dynamics characteristic extraction analysis. Through signal preprocessing, phase space reconstruction, maximum Lyapunov index stage division, critical time criterion block and stationarity test, the application extracts effective block characteristics, realizes accurate analysis of the transient strong impact non-stationary signal, and has objectivity, adaptivity and universality, and can support subsequent dynamics research.

This invention belongs to the field of unmanned aerial vehicle (UAV) control technology, specifically relating to a method and system for attitude stabilization control of UAVs under special environmental disturbances. The method includes the following steps: S1: Establishing a wind field disturbance model, a dust particle impact model, and an electromagnetic interference model, and dynamically coupling these three models into a total disturbance vector experienced by the UAV; S2: Constructing a six-degree-of-freedom dynamic model incorporating the influence of the total disturbance vector. This model describes the translational and rotational motion of the UAV's center of mass under multi-source disturbances in complex environments; S3: Based on traditional aerodynamic models and incorporating environmental disturbance parameters, constructing a variable structure model with aerodynamic coefficients. This invention effectively improves the UAV's adaptability to multi-source coupled disturbances by constructing a unified multi-layered architecture for environmental identification, disturbance observation, Lyapunov robust control, and actuator compensation, thereby ensuring mission accuracy and safety.

This invention provides a big data-based intelligent matching method for upstream and downstream enterprises in the chemical industry chain, belonging to the technical field of matching upstream and downstream enterprises in the chemical industry chain. The method includes collecting multi-dimensional feature data of the chemical industry chain; analyzing basic enterprise data using an industry chain attribute matching algorithm; analyzing the dynamic changes in supply and demand relationships with market cycles; constructing a quantitative model of supply and demand impact, analyzing the influence weight of dynamic supply and demand data on initial enterprise matching data; and building an intelligent matching model of the industry chain to evaluate the matching process of upstream and downstream enterprises in real time. By integrating multi-dimensional feature data of enterprises and utilizing industry chain attribute matching algorithms, dynamic supply and demand analysis methods, quantitative supply and demand impact models, and intelligent matching models of the industry chain, this invention achieves accurate matching and dynamic optimization of upstream and downstream enterprises in the chemical industry chain, solving problems such as reliance on manual experience in matching, untimely response to dynamic changes in supply and demand, and insufficient risk management capabilities in existing technologies.

This invention discloses a multi-dimensional encryption method for secure data output, comprising: acquiring the data to be encrypted; establishing a quantum-resistant encryption computational model, considering the resource consumption problem that may occur during the encryption process; constructing a side effect impact model; analyzing the resource consumption contribution of the quantum-resistant encryption model; designing a resource consumption contribution mitigation strategy and a model feedback mechanism; optimizing and monitoring the side effect impact model in real time; the optimized model can not only reduce the time and space complexity in the encryption process, but also significantly reduce the computational resource consumption without sacrificing encryption strength, thereby improving encryption efficiency while ensuring data security.

The present application relates to the field of bridge health detection, and in particular to a reinforced concrete pier damage evaluation method, device, equipment and storage medium. The method comprises obtaining vehicle impact parameters, simplifying a previously obtained vehicle-pier impact model through the vehicle parameters, obtaining axial displacement, lateral displacement and rotation angle of the nodes at both ends of the fiber beam element; according to the axial displacement, the lateral displacement and the rotation angle, the displacement component of the RC section at any position of the fiber beam element is calculated; based on the displacement component of the RC section of the fiber beam element, the deformation component of the RC section is obtained; according to the RC section deformation component, the first unloading stiffness matrix and the second unloading stiffness matrix at the RC section are obtained; based on the first unloading stiffness matrix and the second unloading stiffness matrix, the third unloading stiffness matrix at the RC section is obtained, and the eigenvalue of the third unloading stiffness matrix is determined; according to the eigenvalue, the pier damage is evaluated.