8results about How to "Solve access difficulties" patented technology

The application discloses a method and system for strengthening main grid elements considering renewable energy under extreme weather, and mainly relates to the technical field of renewable energy research. The method comprises the following steps: collecting an expected value of system loss load caused by extreme weather, and establishing a first objective function with the minimum expected value; modeling an operation mode of a main grid; establishing a linear programming model for calculating a worst probability distribution of uncertain variables; establishing a three-layer mixed integer linear programming model according to the first objective function and the modeling of the operation mode of the main grid; and solving the three-layer mixed integer linear programming model and the linear programming model of the worst probability distribution and outputting a result. The application has the beneficial effects of solving the problem of difficult information acquisition, reducing the difficulty of information provided by a power grid operator, and improving the efficiency of power transmission grid restoration.

The present application relates to a kind of heart ultrasound video semantic segmentation pseudo-label generation method based on optical flow guide, belong to computer vision and medical image processing field.The method includes: selecting two key frames in heart ultrasound video frame sequence, and obtaining the segmentation mask of two key frames by artificial labeling;Optical flow model is fine-tuned using two key frames, the frame between two key frames, the frame of first key frame left side preset quantity and the frame of second key frame right side preset quantity;Based on the fine-tuned optical flow model, the forward optical flow sequence from first key frame to second key frame and the reverse optical flow sequence from second key frame to first key frame are predicted;Based on forward optical flow sequence and reverse optical flow sequence, generate forward propagation mask sequence and reverse propagation mask sequence, and carry out position weighted fusion, obtain the pseudo-label of unlabelled frame.The technical problem that the present application aims to solve is that the label of heart ultrasound video semantic segmentation is difficult to obtain and the quality of pseudo-label obtained is poor.

This invention belongs to the field of liquid level measurement technology for containers or pipelines containing highly radioactive media, and relates to an ionization chamber type liquid level detection device suitable for various highly radioactive media. The device includes a multi-electrode ionization chamber detector, a collimating shield, and a pre-processing unit. This invention guides the radiation emitted by the highly radioactive media into the housing through multiple collimating windows. This ionizes the inert gas in each detection sensitive area, generating charged particles. The high-voltage electric field in each detection sensitive area drives the particles to move to the corresponding collecting electrode. The collecting electrode captures the charged particles and generates an ionization signal, which is sent to the pre-processing unit. The pre-processing unit determines the liquid level height of the corresponding highly radioactive media based on the varying ionization strength signals generated by the ionized inert gas caused by the different radiation intensity emitted by the various highly radioactive media. This allows for the simultaneous identification and location of multiple coexisting highly radioactive media under non-contact conditions.

The application provides a flexible direct current line frequency variable parameter identification method and system, belongs to the parameter identification technical field of power grid transmission lines, and changes the number and state of equivalent redundant sub-modules input by each bridge arm; according to the number and state of the input half-bridge sub-modules, a voltage characteristic signal of a direct current line is injected; according to the injected voltage characteristic signal, in combination with a mathematical model of a distributed parameter transmission line, characteristic impedance, propagation constant and attenuation constant corresponding to the frequency of the injected voltage characteristic signal are calculated; and according to the characteristic impedance at different frequencies calculated by injecting voltage characteristic signals at different frequencies for multiple times, the characteristic impedance in the full frequency domain is fitted. The application solves the problem that parameters are difficult to obtain due to the absence of a stable fundamental frequency in a direct current system, and improves the frequency variable parameter identification precision of the flexible direct current line.

The invention relates to the technical field of camera firmware upgrading, in particular to camera firmware offline upgrading equipment and method. The equipment comprises a built-in power supply assembly, a main controller, a local interaction assembly, a storage medium interface and a communication interface assembly, the built-in power supply assembly is used for supplying power to equipment; the main controller is connected with the built-in power supply assembly; the local interaction assembly is connected with the main controller and is used for providing a local operation interface; the storage medium interface is connected with the main controller and is used for accessing a removable storage medium in which firmware data is stored; the communication interface assembly is in communication connection with the main controller and is used for connecting a camera; the main controller is used for writing firmware data from the storage medium interface into the connected camera through the communication interface component; according to the equipment, independent power supply is achieved through the built-in power supply assembly, an offline operation interface is provided by means of the local interaction assembly, the equipment is suitable for outdoor and after-sales scenes without stable power supply, and the convenience and reliability of firmware upgrading of the camera are improved.

The invention discloses an intelligent display system and method for a company exhibition hall. The method comprises the steps of obtaining a real-time position coordinate sequence of visitors of the company exhibition hall; determining a moving speed vector of the visitor according to the real-time position coordinate sequence; determining a speed interval to which the module value of the moving speed vector belongs; based on the speed interval, information data of the corresponding hierarchy is called from a preset multi-hierarchy information base and displayed on a display terminal of a company exhibition hall, and the information data of different hierarchies in the multi-hierarchy information base have different information densities. According to the method, the moving speed vector of the visitor is used as implicit feedback of a cognitive state, and a self-adaptive coupling mechanism of information density and motion behaviors is constructed, so that a low-density overview is pushed when the visitor quickly passes and high-density details are presented when the visitor stops, the problem that information is difficult to acquire in a dynamic scene is effectively solved, and the information acquisition efficiency is improved. Therefore, the content reaching rate of the intelligent display strategy of the company exhibition hall is improved.

The invention discloses an intelligent identification and classification method for a TAP condensate microscopic image based on deep learning, and relates to the technical field of biomedical image processing and artificial intelligence. A TAP condensate microscopic image data set is constructed and preprocessed, and a deep learning identification model based on a convolutional neural network is constructed; the deep learning recognition model comprises a feature extraction backbone network, an attention mechanism module and a classification output layer, training the deep learning recognition model by using the training set, optimizing model parameters through a loss function, inputting a to-be-detected microscopic image into the trained deep learning recognition model, and outputting the to-be-detected microscopic image. The Label-free TAP condensate recognition method has the advantages that dependence on physical color marking in the prior art is abandoned, the high-dimensional features of the image are automatically extracted through deep learning, and accurate recognition of the Label-free TAP condensate is achieved.

The utility model provides a field test device for bearing capacity and friction force of a foundation, which belongs to the technical field of foundation earthwork and comprises a supporting mechanism comprising a supporting plate, a triangular support fixedly mounted at the bottom of the supporting plate and a driving component arranged at the top of the supporting plate. The auxiliary monitoring mechanism comprises a shell, a spring fixedly installed in an inner cavity of the shell, a movable rod movably arranged in an inner cavity of the spring in a sleeving mode, and a limiting plate fixedly installed at one end of the movable rod. Through the overall compact design of the device, the occupied area of the device is remarkably reduced, so that the device can adapt to a narrow space or complex working conditions adjacent to an existing building, and the problem that a traditional test device is limited in installation and operation is solved; meanwhile, real-time visual monitoring of foundation displacement and load change is achieved through the synergistic effect of the auxiliary monitoring mechanism, data acquisition difficulty caused by device structure shielding or insufficient observation means is avoided, and therefore test precision and efficiency are improved.