6results about How to "Solve the explosion" patented technology

The application discloses a sea surface weak target detection method based on a residual network and a hypersphere constraint. The method can solve the problems of training underfitting or overfitting caused by the fact that the target sample is much smaller than the sea clutter sample under the sea clutter background, and the specific steps include: 1, performing short-time Fourier transform on each piece of data obtained after dividing the radar echo signal sample to obtain a time-frequency spectrum; 2, constructing an anomaly detection network model combined with a support vector data description based on a variational autoencoder of a residual network; 3, inputting the time-frequency spectrum into the anomaly detection network model for end-to-end training; 4, performing online detection of the target based on the trained model; and 5, evaluating the performance of the application from the constructed multi-dimensional index. The application can effectively enhance the separability between the target and the sea clutter, and improve the weak target detection precision under the condition of a real small sample.

This invention provides a method, apparatus, equipment, and medium for predicting oil and gas field flow data. The oil and gas field flow correction method includes the following steps: S1, acquiring and preprocessing wellhead data of oil and gas wells; S2, identifying influencing factors of wellhead flow data by analyzing the correlation between the wellhead data and wellhead flow data; S3, identifying influencing factors of wellhead flow data by analyzing the correlation between the wellhead data and wellhead flow data; S4, establishing a hybrid virtual metering model of oil and gas wells based on the aforementioned mechanism model, and labeling the characteristic variables of the hybrid virtual metering model according to the influencing factors; S5, predicting wellhead flow data based on the hybrid virtual metering model. This invention, by using existing data for mining and analysis, can achieve accurate measurement of wellhead flow, replacing the current complex back-matching mechanism, and can enhance the core competitiveness in the field of efficient oil and gas field development.

The invention relates to a capacitor protection structure and a capacitor, and relates to the technical field of capacitors. The capacitor protection structure comprises a shell, an upper cover and an electrode terminal. One end of the shell is opened and an accommodating cavity is formed in the shell. A capacitor core group is arranged in the accommodating cavity. The upper cover is arranged at the opening end of the shell in a covering mode, and the upper cover is of a thin plate structure. The electrode terminal comprises a seat body and an insertion rod, the seat body is fixed in the accommodating cavity and is electrically connected with the capacitor core group, and one end of the insertion rod penetrates through the upper cover and is inserted into the seat body. When the upper cover protrudes, the upper cover can drive the plug to move towards a first direction, and the first direction corresponds to the direction, away from the base body, of the plug rod. The capacitor protection structure can improve the problem that explosion is easy to occur when the internal pressure of the capacitor is increased, and improves the safety of the capacitor.

The application provides a WGAN-based FRP sheet and concrete interface bonding slip model generation method, which can automatically, quickly and accurately obtain the bonding slip model and has a wide application prospect. After the automatic and rapid acquisition of the bonding slip model, the bonding performance between the FRP sheet and the concrete can be accurately reflected, and a safe and reliable reinforcement component design calculation method can be established. The WGAN is used to predict the strain, so that the training process can be simplified and the training can be stable. The WGAN can replace the traditional experimental analysis to quickly and accurately establish a bonding strength model. The LSTM is used as the generator of the WGAN model, so that the gradient disappearance and explosion problems of the RNN are solved, and the strain data related to time can be more accurately predicted. The CNN is used as the discriminator of the WGAN model, so that the quality and convergence speed of the generated samples are improved.

The invention discloses an air conditioner, a control method, a control device and a storage medium. The air conditioner comprises an indoor fan, a live part and an air pressure detection assembly, wherein the indoor fan communicates with the live part through a first air duct; the air pressure detection assembly is configured to collect the first air pressure of the indoor fan and the second air pressure of the first air duct and control the electrification part to be powered on and powered off according to the difference value between the first air pressure and the second air pressure. The air pressure switch is arranged between the air pressure detection assembly and the live part, so that the air pressure switch can detect the pressure difference in the first air duct, when it is detected that the pressure difference is reduced, it is indicated that the indoor fan breaks down, airflow blown out by the indoor fan cannot cool the live equipment or take away leaked refrigerants, and the indoor fan is prevented from breaking down. At the moment, the wind pressure switch controls the live part to be powered off, so that the live part can be prevented from exploding due to ignition of refrigerants caused by power-on ignition.

The application discloses a behavior fingerprint digital feature extraction method, system, medium and equipment, and the method comprises the following steps: acquiring a behavior fingerprint sequence of a user and extracting digital feature information of the user, constructing a digital feature vector matrix for a to-be-matched user set and a known user set respectively, extracting a feature vector set of the user for the acquired behavior fingerprint sequence of the user, calculating the similarity distance between the digital feature vector of the known user and the digital feature vector of the to-be-matched user based on a similarity distance formula, and judging the identity of the user according to a preset matching strategy. The application expands the behavior fingerprint of the user, solves the problem of the sparsity of the behavior fingerprint of the user to a certain extent, and achieves the effect of improving the recognition accuracy.