11 results about "Attenuation loss" patented technology

The invention belongs to the technical field of power system load prediction, and relates to a long-range multivariable load prediction method and system based on time-frequency domain collaboration, and the system carries out the normalization and stabilization of a multivariate load time sequence through a data preprocessing module; the feature embedding module performs linear embedding on the block sequence to construct high-dimensional feature representation; the state space coding module extracts long-range dependency features and generates depth time sequence representation; the decoding prediction module maps the coding features into a preliminary prediction sequence; the time sequence alignment module identifies a leading-lagging relation among multiple variables and aligns a time sequence; the frequency domain optimization module realizes frequency domain component fusion based on adaptive filtering; and the model training optimization module is used for performing training and optimization through a signal attenuation loss function. The method can effectively improve the precision and robustness of long-range multivariable load prediction, and especially has obvious advantages in the aspects of processing complex dependency relationships and dynamic time delay.

The utility model relates to the technical field of data transmission lines, in particular to a high-frequency cable for making a flat wrapping middle coating technology, which is technically characterized by comprising a core wire, a first mylar layer and a wrapping tape layer which are sequentially arranged from inside to outside, the core wire is formed by extrusion, the first mylar layer is used for fixing the core wire, and the wrapping tape layer is used for wrapping the first mylar layer. A middle coating layer is arranged between the first mylar layer and the belting layer, the middle coating layer is formed by extrusion, and the belting layer wraps the periphery of the first mylar layer. Through a multi-layer structure, efficient and stable transmission of signals is realized. The core wire adopts the copper conductor and the polyethylene insulating layer, so that accurate transmission of signals is ensured; the first mylar layer and the middle coating layer are arranged, so that the problem of dielectric coefficient in signal transmission is solved, and the high-frequency performance of the cable is improved; and the aluminum foil wrapping tape layer is added, so that the shielding effect and the structural stability of the cable are further enhanced. Through the series of design, the high-frequency cable has excellent performance in the aspects of reducing attenuation loss and improving transmission efficiency.

The invention provides a vehicle-mounted antenna signal communication method and device, computer equipment and a storage medium. The method comprises the following steps: acquiring duplex communication state parameters of a vehicle-mounted antenna repeater; performing channel likelihood processing on the duplex communication state parameter and a preset communication state parameter to obtain a duplex communication likelihood amount; and sending an attenuation loss signal to a channel attenuator according to the duplex communication likelihood so as to adjust the channel signal strength. After the duplex communication state parameters are collected, the communication state change condition of the vehicle-mounted antenna repeater in the current duplex communication mode is determined, and then the duplex communication state is compared with the standard communication state, so that the duplex communication state change difference degree of the vehicle-mounted antenna repeater is conveniently determined; and finally, according to the change difference degree, a signal attenuation mode in duplex communication is adjusted, so that a communication signal between the internal and external antennas of the vehicle is stable, and the internal and external duplex communication quality of the vehicle is effectively improved.

The application discloses a SiC@BN core-shell nanowire periodic array reinforced Si3N4 high-temperature wave-absorbing ceramic coating, which is composed of SiC nanowires, a BN shell layer and a Si3N4 ceramic matrix. The SiC nanowires and the BN shell layer are obtained through a chemical vapor infiltration process, and form a core-shell structure to obtain SiC@BN core-shell nanowires, which can avoid oxidation of the SiC nanowires and improve the dielectric constant of the SiC nanowires. The SiC@BN core-shell nanowires are arranged in a three-dimensional periodic array. The Si3N4 ceramic matrix is prepared through the chemical vapor infiltration process, and the Si3N4 ceramic matrix is uniformly filled in the pores between the SiC@BN core-shell nanowires. Through macro-micro multi-scale structure design, lattice distortion, stacking faults and interface defects are introduced in the micro scale to promote the absorption and attenuation loss of the incident electromagnetic wave, and the surface electric field coupling effect and multiple scattering loss mechanism are introduced in the macro scale to realize the widening of the effective absorption band and the synergistic improvement of the electromagnetic wave absorption characteristics.

The invention discloses a remote sensing ship target detection method suitable for deep learning, and belongs to the field of remote sensing ship target detection, and the method comprises the following steps: firstly, adding an EUCB-S upsampling module in a neck network to accurately capture feature information related to a remote sensing ship target; and interference of background noise and irrelevant details is reduced to the minimum. Secondly, a PAN4 feature fusion network with four detection scales is designed to fuse more target feature information, and remote sensing ship targets of different scales can be detected. And finally, providing a new loss function and bidirectional attenuation loss BAIoU on the basis of a KFIOU loss function, quantifying the similarity between a labeling frame and a prediction frame on the basis of an attenuation coefficient, an offset direction and an offset distance, improving the positioning and recognition precision of a rotating frame, and solving the problem that a remote sensing ship target has any rotation angle.

The application discloses a capacitor life prediction method and system based on a capacitor attenuation rate, and the method comprises capacitor operation data collection, out-of-group passivation loss construction, time-series capacitor attenuation loss construction, attenuation constraint loss construction, time-varying coefficient calculation, capacitor life prediction model design and capacitor life prediction. The application belongs to the field of data processing, and specifically refers to a capacitor life prediction method and system based on a capacitor attenuation rate. The scheme is designed for the time-varying out-of-group passivation loss of the out-of-group and noise problems, suppresses the out-of-group points, avoids the overall deviation of the life prediction, constructs the time-varying scale parameter to remove the false micro shaking, constructs the time-series capacitor attenuation loss fused with acceleration sensing, introduces the second-order difference of the capacitor attenuation rate to capture the accelerated degradation characteristics, constructs the attenuation constraint loss to improve the rationality of the long-term life prediction, constructs the time-varying coefficient to realize dynamic weight distribution, realizes the near short-term high-precision and long-term stable trend, and improves the capacitor life prediction effect.

The utility model belongs to the technical field of cables, and particularly relates to a cable structure which comprises a protective outer body and at least two wire harnesses. At least two parallel mounting holes are formed in the protective outer body; the two adjacent mounting holes are not communicated with each other; each of the wire harnesses is arranged in the corresponding mounting hole; at least two channels are arranged on the outer surface of each mounting hole in a surrounding manner; and a part of the channel is arranged between the two adjacent mounting holes. According to the utility model, the attenuation loss of the cable at high frequency can be reduced, and the use safety and stability are ensured.

The invention provides a data transmission line and augmented reality equipment, and solves the problems in the prior art. The data transmission line includes: a wire; the first connector is connected with the wire rod, and the first connector is configured to be connected with the head-mounted display; the at least one second connector is connected with one end, far away from the first connector, of the wire rod, the second connector is configured to be connected with a signal source, and the at least one second connector can transmit at least one data signal; and the compensation module is used for performing signal attenuation compensation on the at least one data signal. The compensation module can monitor the possible signal attenuation phenomenon of at least one data signal in the wire transmission process in real time, and automatically carries out corresponding compensation for the detected signal attenuation. Through the mechanism, the compensation module significantly improves the transmission performance of the data transmission line, and effectively reduces the signal attenuation loss caused by distance or interference, thereby guaranteeing the transmission quality and reliability of the data signal from the signal source to the head-mounted display.

The invention relates to the technical field of wireless communication, in particular to an optimized low-altitude condition radio wave propagation prediction method and device and a storage medium, and the method comprises the steps: firstly constructing a three-dimensional collaborative database fusing high-resolution terrain elevation, atmospheric profile and earth surface material information; based on a three-dimensional graphic obstacle recognition algorithm, a low-altitude propagation loss model or a ground propagation model is adaptively selected as a dominant prediction model by analyzing the shielding proportion of an obstacle on a propagation path to a first Fresnel region. And if the low-altitude model is selected, intelligently matching the corresponding diffraction loss sub-model according to the topographic features, and calculating the topographic diffraction loss. Meanwhile, the atmospheric attenuation loss is calculated in a layered manner, and the earth surface reflection loss is calculated by combining earth surface material information. And finally, carrying out superposition calculation. According to the invention, through multi-source data fusion, propagation mechanism intelligent discrimination and multi-physical effect cooperative calculation, the precision and adaptive ability of radio wave propagation prediction in a low-altitude complex environment are significantly improved.

A vehicle window glass (100), a vehicle window assembly (400), and a vehicle (1000). The vehicle window glass (100) has a signal transmission area (E) for a detection signal (S1) and an echo signal (S2) to pass through, and the signal transmission area (E) has a transmittance of at least 75% for an incident detection signal (S1) having an angle of incidence (β) of 50°-70°; the number of points in space scanned each time by each line of the detection signal (S1) is N. When the detection distance between a target object (P) and a laser radar (200) is 100 meters, the echo signal (S2) received by the laser radar (200) comprises at least X1 pieces of point cloud data, wherein X1≥N / 200 and X1≥3, N≥400. The vehicle window glass (100) can reduce the attenuation loss of the detection signal (S1) and the echo signal (S2) when the signals pass through the signal transmission area (E), so that the laser radar (200) located inside of the vehicle receives enough point cloud data, thereby achieving high-precision recognition of the target object (P), and simultaneously satisfying the three use requirements that the laser radar (200) be able to see far, see clearly, and see stably.

The application discloses an OTDR event detection method and relates to the technical field of data analysis. The method comprises the following steps: acquiring an OTDR response curve of a communication optical fiber to be detected and performing wavelet denoising processing to obtain wavelet coefficients decomposed to each layer; an improved simulated annealing algorithm is used to acquire optimal threshold values of the wavelet coefficients of each layer, and threshold value processing is performed on the wavelet coefficients of each layer, a signal is reconstructed, and a denoised OTDR response curve is obtained; a middle data section of the denoised response curve is extracted, suspected reflection events and non-suspected reflection events are found out in the middle data section, false points caused by noise in the suspected events are removed according to event interval distances and event duration distances, and finally, reflection event position information, non-reflection event position information and the attenuation loss of each event are determined. The method can obtain a response curve with a higher signal-to-noise ratio, intelligently acquires the sizes of each threshold value through the improved simulated annealing algorithm, and reduces the error probability of reported events.