5results about How to "Suitable for application needs" patented technology

The utility model relates to cable production technical field especially is a kind of cable straightening equipment, including mounting plate, mounting plate is provided with two and is symmetrically distributed before and after, the four corners of two mounting plates are all provided with mounting hole, the opposite end of two mounting plates is all fixedly connected with slide rail, straightening mechanism is slidably connected between two mounting plates, two stands are symmetrically fixedly installed in the upper end of the mounting plate located rear part, one end of a stand is fixedly installed with one positive and negative motor, the output of one positive and negative motor is fixedly connected with ball screw, ball screw is screw-connected with the rear part of straightening mechanism. The utility model discloses a kind of cable straightening equipment, reciprocating motion is driven by ball screw straightening mechanism, realize the stable feeding of cable and continuous straightening;While using the multiple straightening wheels of annular distribution, realize automatic adaptation different diameter cable with adjusting disc cooperation, improve straightening efficiency and versatility, applicable to the efficient processing and automatic production of multiple specifications cable.

This application relates to the field of transformer technology, specifically to a chip transformer and power module, including a ceramic substrate; the ceramic substrate includes a plurality of stacked ceramic diaphragms; conductive posts are provided on the ceramic diaphragms, the conductive posts extending perpendicularly to the ceramic diaphragms; helical coils are provided on the surface of the ceramic diaphragms, and the ends of adjacent helical coils are connected through the conductive posts; at least two helical coils are connected through the conductive posts to form a coil winding. The embodiments of this application can significantly increase the number of turns in the winding by using planar helical coils, effectively improving the inductance value and enhancing the coupling coefficient between the primary and secondary coils while achieving a miniaturized integrated design.

The utility model belongs to unmanned plane technical field relates to a combination structure for strapdown unmanned plane and launching device, and unmanned plane is more and more widely used in military application, unmanned, accurate attack becomes the mainstream trend of modern war, need a new type of load pylon to satisfy these demands, ensure that unmanned plane can efficiently, safely complete its mission, the utility model not only enhanced the security of traditional pylon, also greatly promoted the operation efficiency, in addition, the optimized structure design makes the whole system more compact and light, is suitable for the application demand of modern unmanned plane platform, can realize that unmanned plane carries multiple different types of weapons and ammunition, and copes with different types of combat.

This invention discloses a video anomaly behavior recognition method based on attention feature gating. This method performs feature dimensionality reduction during multi-dimensional training to construct a more efficient recognition network. The specific implementation method is as follows: First, consecutive video images are randomly extracted from the entire dataset and preprocessed as training samples. Then, they are fed into the proposed network model AFG-NET for training. The model then performs channel separation on the frame rate dimension of the training samples, extracts features from multiple channels using two-dimensional convolution, and then uses a channel feature sparsification function to scale and sum the features, multiplying them with the global features of the training samples to obtain the output. The subsequent part of the model then extracts and recognizes the features, finally obtaining the prediction result of the network model. Finally, a joint loss combining weighted sparsity penalty and cross-entropy loss is used, and stochastic gradient descent is used to backpropagate the joint loss of the model to optimize the parameters of the network model to achieve global optimum.

The application discloses a micro-grid group scheduling optimization method and device based on a DDQN algorithm and an action mask, and the method comprises the following steps: regarding each micro-grid as an intelligent agent to construct a micro-grid group multi-agent model; the micro-grid group multi-agent model takes maximizing total operation income of the micro-grid group as a target, and considers power balance constraints, output constraints, ESS constraints and interactive power constraints; Markov modeling is performed according to the micro-grid group multi-agent model to obtain a Markov decision process; the micro-grid group is scheduled and optimized according to the Markov decision process in combination with a first algorithm to obtain a micro-grid group joint scheduling scheme; the first algorithm is based on the DDQN algorithm, and illegal actions are shielded through the action mask at each time step of the DDQN algorithm.