11results about How to "Avoid the modeling process" patented technology

The invention discloses an efficient regulation and control system and method for plateau low-oxygen environment damage, and relates to the technical field of human body low-oxygen damage analysis, detection and regulation and control, and the system comprises a data monitoring module, a signal screening module, a decision oxygen distribution module and a monitoring interaction module; the data monitoring module is used for acquiring a physiological state related to the plateau hypoxia adaptive capacity in real time; acquiring physiological data with high modeling value through an optimization algorithm by using a signal screening module based on test data, and constructing a discrete state space model of a physiological state; an oxygen distribution concentration decision is determined through a predictive control algorithm by utilizing a decision oxygen distribution module, so that oxygen supply regulation and control are realized; and the monitoring interaction module is used for storing, recording and displaying data, issuing an alarm and predicting dangerous conditions. Therefore, by means of the method, effective oxygen supply, blood oxygen dynamic monitoring and real-time alarming can be achieved, and health and safety of individuals in oxygen-deficient environments such as high-altitude areas and the like are guaranteed.

The invention belongs to the technical field of new energy power systems, and discloses a net-building type converter parameter simulation analysis method, system, equipment and medium, and the method comprises the steps: building an equivalent transfer function and a damping torque model of a net-building type converter based on a damping torque theory, and defining a damping torque and a synchronous torque through the generation and conversion of a characteristic equation; establishing a converter voltage-current relational expression based on the dynamic equation of the grid-forming converter, and deducing a damping torque of the grid-forming converter containing a complete control loop through linearization processing of the relational expression; and simulating the damping characteristics of the network-forming converter containing the complete control loop, and evaluating the influence degree of the outer loop control parameters on the damping torque by analyzing the damping torque under different outer loop bandwidths. The invention provides the damping torque model for optimizing the network construction type outer ring control parameters, so that modeling of a complex feedback link in a damping torque equivalent model is avoided, and a brand new thought is provided for analyzing the outer ring control parameter optimization problem.

The invention provides a surface clutter real-time generation method and device, and the method comprises the steps: determining a target time domain range and a target frequency domain range of a to-be-generated surface clutter signal according to the real-time motion state parameter of a carrier carrying a radar seeker and the beam pointing parameter of the radar seeker; generating a random clutter sequence covering the target time domain range and the target frequency domain range according to a preset amplitude statistical distribution model and a preset power spectrum model; a surface clutter signal is generated by modulating a reference radar signal, the modulation including convolving the reference radar signal using a random clutter sequence, and parameter adjusting the convolved signal to match dynamic characteristics of a carrier. According to the invention, the problem of insufficient fidelity of clutter simulation signals in the prior art is solved.

The invention discloses a hybrid excitation synchronous generator excitation control system and a joint simulation method, and the system comprises an excitation power conversion unit and an excitation control unit, and the excitation power conversion unit integrates the functions of an APFC circuit and a half-bridge LLC resonant converter. Comprising a power supply input conversion unit, a boost input inductor L1, a first switch tube Q1, a second switch tube Q2, a capacitor C1, a resonant inductor L2, a resonant capacitor C2, an inductor L3, a transformer primary side excitation inductor Lm, a first diode VD1, a second diode VD2, a third diode VD3, a fourth diode VD4, a filter capacitor C3 and a load resistor R0. The excitation control unit comprises a modal distribution unit and a PWM signal generator. According to the invention, the terminal voltage of the harmonic brushless hybrid excitation synchronous generator and the third harmonic output current are used as feedback signals of the outer ring and the inner ring, the stability of the terminal voltage of the generator under different loads is improved by adjusting the induction current in the stator third harmonic winding, and the voltage quality of a power grid is improved.

The present invention discloses a multi-modal pushover test system for deep underground structures based on hybrid tests, which belongs to the technical field of underground structure tests. The test system includes a numerical substructure composed of a numerical model of a deep underground structure and a part of the surrounding soil removed, and a test substructure composed of a large-scale stratum-deep underground structure pushover model test designed according to the removed part and a free field model composed of a one-dimensional soil column numerical model, which are respectively connected to the numerical substructure. The present invention also provides a multi-modal pushover test method for deep underground structures based on hybrid tests. The present invention integrates numerical simulation and model tests through hybrid test technology, which can provide more accurate mechanical boundary conditions for pushover tests, thereby being able to well reproduce the initial ground stress state of the deep underground structure while introducing the influence of high-order modes, and also overcome the problem of the traditional pushover test technology that the loading plate and the soil are detached during the loading process.

The invention relates to a mother-type ship database-based ship noise forecasting method, which comprises the following steps of: collecting mother-type ship noise actual measurement data, performing arrangement by taking each place as a dimension, and establishing a mother-type ship database; carrying out statistical processing on the data, and calculating statistical indexes of noise measured values of all rooms of all mother type ships; the measured values of the same place of each mother ship are regarded as different results repeatedly measured for the same experiment, and a normal distribution model is established; adding the average value of the noise measured values at all positions and the standard deviation of a certain multiple of the normal distribution model as the noise basic value of the new ship; comparing the difference between a noise source and a propagation path between the predicted ship and the mother ship, establishing a function relationship between a single difference and a noise level by using an empirical formula or an actual measurement result similar to new ship equipment arrangement, and superposing all change influence results to obtain a total influence result of the noise at the place; and obtaining a predicted value of the noise of the new ship based on a superposition result of the noise basic value and the total influence result.

The invention relates to a soft soil pile foundation bearing capacity attenuation early warning method based on a meta-learning strategy, and the method comprises the following steps: S1, building a cyclic loading test device; s2, making a data set; s3, building and training a base model; s4, introducing a meta-learning strategy into the base model obtained in S3, and inputting a pre-training data set for pre-training to obtain a pre-trained model; and S5, inputting the target data set into the pre-training model for training to obtain a model prediction result. According to the method, an intelligent early warning model with the rapid adaptive capacity is constructed, existing engineering experience can be fully utilized, and rapid adjustment and accurate prediction of the attenuation trend of the bearing capacity of the pile foundation can be achieved only through a small amount of field monitoring data in a new engineering scene.

The application discloses a heavy-load combined train cooperative communication consistency braking control method and device. In the train braking process, the braking controller combines the strict constraints of the actuator and the relative displacement between the carriages, and adopts a distributed model predictive control method to design a cooperative braking controller according to the state variables such as the speed, acceleration and position information of each sub-node; the train consistency braking force control method is designed to solve the performance index of minimizing the speed inconsistency and the relative displacement difference between the carriages. The application reduces the relative displacement and the speed inconsistency between the carriages during train braking, reduces the size of the train hook force during braking, effectively reduces the damage of the carriage structure, and improves the comfort during train driving.

The invention discloses a new energy power grid transient voltage trajectory online prediction method, and belongs to the technical field of power system operation and maintenance. The invention provides a transient voltage track online prediction method based on the Kupman theory. The problems that a traditional method for obtaining a voltage track based on fault offline simulation to carry out transient voltage stability analysis is low in calculation efficiency and accuracy and is difficult to adapt to a current large-scale new energy grid-connected system are solved. According to the Kupman operator extraction method based on the Hankel matrix enhanced expansion dynamic mode decomposition method, the method is completely based on wide-area measurement data, system modeling is avoided, dimension expansion of the measurement data can be achieved through the Hankel matrix, the dependency of the method on the measurement data is reduced, and the method is suitable for large-scale popularization and application. The calculation efficiency and accuracy of the method are improved, and online prediction of the system voltage response trajectory is realized. The method is mainly used for online prediction of the transient voltage trajectory of the new energy power grid.

The invention relates to the technical field of virtual-real interaction, in particular to a virtual-real interaction method and system based on an image recognition technology, and the method comprises the steps: a target user carries out the color graffiti of a drawing template through a color pen, so as to obtain a color drawing, and carries out the three-dimensional modeling of a space man based on a three-dimensional modeling technology, so as to obtain a three-dimensional model of the space man, a three-dimensional outline of the space man is preset in the drawing template; and performing image acquisition on the color drawing at the fixed position based on an image acquisition device to obtain a target color image, and preprocessing the target color image to obtain a standard color image. According to the method, the user is allowed to use a color pen to scrawl on the drawing template, so that interactivity and sense of participation are increased, the user can directly participate in the design process, the user can freely select and combine colors and encourage creative thinking, and personalized ideas of the user can be presented in a visual mode.

The embodiment of the invention relates to a multi-unmanned-aerial-vehicle close-range fighting method based on an opponent coding network, and the method comprises the steps: inputting the historical action information of a task collected by each unmanned aerial vehicle into the opponent coding network according to the task environment of the multi-unmanned-aerial-vehicle close-range fighting, and carrying out the center average calculation, thereby obtaining the opponent coding information; the opponent coding information is combined in parallel and input to a leader network to obtain indication information; the indication information is combined and input into the evaluation network to obtain evaluation information, the action network outputs actions according to the evaluation information, the leader network, the opponent coding network, the evaluation network and the action network are optimized until the leader network and the opponent coding network converge, and a multi-unmanned-aerial-vehicle close-range combat strategy is generated. According to the embodiment of the invention, the method reduces the cost of behavior modeling of the unmanned aerial vehicle, solves a problem that a conventional algorithm cannot be suitable for a sequential decision-making task of multiple unmanned aerial vehicles through the introduction of the opponent coding network, and solves a problem that the environment is not stable in a training process of multiple unmanned aerial vehicles.