18results about How to "Reduce boundary effects" patented technology

The invention provides a multi-grid bidirectional conservation nesting method and system for seasonal prediction and a medium. The method comprises the following steps: acquiring a target nesting grid and external background data; calculating a target interpolation weight coefficient based on the target nested grid; performing space-time conversion on the external background data based on the target interpolation weight coefficient to complete forward nesting, and obtaining forward nesting information; performing information exchange calculation on the forward nesting information to complete reverse nesting, including exchanging data in a target nesting grid and boundary data of the target nesting grid; and forming one-time bidirectional nesting based on a group of forward nesting and the corresponding reverse nesting, and performing iterative nesting to complete the multi-grid bidirectional conservation nesting operation. According to the invention, large-scale signal retention and regional encryption can be realized, and the prediction precision can be improved when the method is applied to sub-season-seasonal prediction.

The invention relates to the field of seismic signal processing, and discloses a self-adaptive partial angle superposition data volume interpolation void filling method and a self-adaptive partial angle superposition data volume interpolation void filling device. The method comprises the following steps: determining a seismic trace with a hole, deleting data of the seismic trace with the hole from original seismic data, and obtaining an input sample space; determining interpolation data according to the sample space and the original seismic data; determining an absolute amplitude value of the original seismic data, determining an area of which the absolute amplitude value is equal to a second preset threshold value as a cavity area, and generating a cavity factor for identifying whether the area is the cavity area; according to the void factor and the interpolation data, determining interpolation void filling data of the void area; determining complete interpolation void filling data according to the original seismic data and the interpolation void filling data; and de-noising processing is carried out on the complete interpolation void filling data to obtain final adaptive interpolation void filling data. And the conditions of boundary effect and data incompleteness caused by holes and unsatisfactory inversion effect caused by the holes are overcome.

This utility model relates to the field of civil engineering technology, specifically a pile foundation shaking table test device. It includes a shaking table body, a container on top of which holds soil and a pile foundation model. The container includes a coaxially arranged rigid inner frame and a rigid outer frame. A flexible sidewall structure is provided between the rigid inner frame and the rigid outer frame. The flexible sidewall structure consists of circumferentially spliced ​​flexible plates and multiple sets of micro-springs connecting the inner surface of the flexible plates to the outer surface of the rigid inner frame. The top and bottom of the flexible plates are connected to the rigid inner and outer frames via sliding guide components to allow radial displacement of the flexible plates in the horizontal plane. This pile foundation shaking table test device, by improving the boundary structure, effectively reduces the soil boundary effect, more realistically simulates the interaction between the pile and soil system under seismic loading, and improves the accuracy of the test.

This invention discloses a baseline removal method for multi-channel magnetocardiogram (MCC) signals based on wavelet low-frequency reconstruction and morphological secondary smoothing. The invention includes: acquiring multi-channel MCC signal data; performing power frequency notch filtering on each channel to suppress the power frequency fundamental frequency and at least one harmonic component; performing configurable IIR low-pass filtering on the notched signal; setting a discrete wavelet transform extension mode and performing discrete wavelet decomposition on the filtered signal; selectively retaining decomposition coefficients based on the retention layer set and setting the remaining coefficients to zero, then performing inverse wavelet reconstruction to obtain an initial baseline estimate; performing morphological secondary smoothing on the median-smoothed baseline signal to obtain a corrected baseline signal; subtracting the corrected baseline signal from the filtered signal to obtain the baseline-corrected channel signals; and assembling and outputting a multi-channel baseline-corrected signal matrix. This invention can improve the stability and cross-channel consistency of baseline estimation for multi-channel MCC signals, reduce the risk of over-correction and under-correction, and is applicable to multi-channel batch processing scenarios.

The invention discloses a long-time target tracking method based on distortion suppression and low-rank constraint, and solves the problems that in the prior art, when a target appears along with adverse factors, the appearance of the target changes sharply in a short time due to introduction of excessive background information, and model drifting and even tracking failure easily occur. According to the long-time target tracking method based on distortion suppression and low-rank constraint provided by the invention, in the process of constructing a filter (model), the target and background information around the target are fused, the boundary effect is effectively relieved, meanwhile, the search area is enlarged, and the discrimination capability in a rapid movement, shielding or background disordered scene is improved.

The present invention relates to the technical field of drying equipment, and specifically to a drying equipment for producing mobile phone screen protective film, comprising a drying box, a clamping piece is provided at the bottom of the drying box, a plurality of arc grooves distributed front and back are provided on the clamping piece, the axis of the arc groove extends in the left and right direction, an arc slider is clamped in the arc groove, the arc slider can slide along the arc groove, an insertion groove is provided on the arc slider, and the insertion groove is used to clamp the bottom of the tempered glass; a plurality of air pipes distributed front and back are fixedly provided on the top of the drying box, the tempered glass is located between two adjacent air pipes, an air blowing port facing the tempered glass is provided on the air pipe, and the gas blown out of the air blowing port can balance the forces on the front and back sides of the tempered glass so that the top of the tempered glass is kept in a nearly vertical state; a first driving mechanism is provided on the drying box, and the first driving mechanism can drive the clamping piece to move back and forth, thereby driving the tempered glass to swing back and forth, thereby ensuring the drying effect.

The invention discloses a shear loading device under complex stress state and drainage condition, which belongs to the technical field of supergravity loading shear test, and comprises a loading frame and a shear loading device arranged on the loading frame, the shear loading device comprises a loading unit and a power system connected with the loading unit through a dowel bar, the loading unit comprises a force sensor, a comb-shaped plate and a folding frame arranged on the comb-shaped plate, and the power system is a servo motor. According to the invention, the fence-shaped folding frame is hinged with the overlapped comb-shaped plate, the force sensor is arranged at the fixed end of the bottom, the movable end is connected with the power system, and the main stress shaft rotation control of the loading plate is realized through the comb-shaped plate and the folding frame, so that the boundary effect caused by different rigidity of the loading plate and friction force between soil particles is effectively relieved.

This utility model relates to a microscopic observation device for soil particles in shaking table tests, belonging to the technical field of civil engineering experimental equipment. It includes a vibrating base that supports the entire device and provides controlled vibration power; a fully transparent model box is mounted on the vibrating base to hold the soil particle sample to be observed, and the bottom layer of the fully transparent model box has symmetrically arranged wave-absorbing sponge layers on its left and right sides; a miniature camera assembly is mounted on the vibrating base, vibrating synchronously with the fully transparent model box; the miniature camera assembly includes a camera with high-speed continuous shooting capability, and the frame rate of the miniature camera assembly is not less than 300fps; a horizontal electric guide rail is mounted on the vibrating base; and a vertical electric lifting column is mounted on the horizontal electric guide rail. This utility model effectively eliminates the relative displacement problem caused by the asynchronous movement of the camera equipment and the model box in shaking table tests.

The present invention relates to a differential pair noise suppression structure. A circuit board includes at least one substrate having opposite first and second surfaces. A pair of plated vias are disposed along a z-axis. The first surface of the substrate is provided with a first metal line, a second metal line, a first plated via opening, and a second plated via opening to form a differential pair circuit structure. A metal ground is provided on the second surface of the substrate, the metal ground having a blank area. From a projection perspective, the metal ground area encompasses both signal lines to eliminate reflection noise caused by a boundary between the blank area and the metal ground so that the differential pair signal lines have a uniform characteristic impedance.

The present invention discloses a large-scale shear test device and method for root reinforced soil based on PIV technology, which belongs to the field of geotechnical testing, and includes a test bench, an embedded combined shear box arranged on the top of the test bench, a mechanical loading mechanism for loading a sample in the embedded combined shear box, and a monitoring mechanism, wherein the monitoring mechanism includes a displacement sensor assembly and a PIV camera assembly arranged on the mechanical loading mechanism, wherein the displacement sensor assembly and the PIV camera assembly are both connected to a computer, and the PIV camera assembly is aligned with a transparent observation surface of the embedded combined shear box. The present invention adopts the above-mentioned large-scale shear test device and method for root reinforced soil based on PIV technology, and uses PIV technology (particle image velocimetry technology) to monitor the movement direction and velocity of shear zone soil particles in real time during the shear test, so as to obtain the evolution process of the shear zone of the soil under the reinforcement effect of the undisturbed plant root system, and gain an in-depth understanding of the stability and safety issues of the root reinforced soil.

The invention relates to the technical field of high-fundamental-frequency devices, in particular to an AT-cut high-fundamental-frequency quartz wafer, a preparation method and a piezoelectric device, and the AT-cut high-fundamental-frequency quartz wafer comprises a wafer body which comprises a fixed part and a vibration part integrally formed in a space defined by the fixed part through etching, the distance between the vibration part and the free end of the fixed part is less than 20 microns; each electrode comprises an excitation electrode and an extraction electrode which are electrically connected, and the excitation electrodes are arranged on the two opposite side faces of the vibration part respectively and are extracted to the dispensing end of the fixing part through the corresponding extraction electrodes; wherein the two sides, perpendicular to the dispensing end, of the fixing part are at least partially and obliquely arranged in an expanding mode with the free end of the fixing part as the starting point. According to the invention, the etching process is not complicated, the crystal impedance is effectively reduced, the Q value is improved, the power consumption is reduced, the vibration energy transfer and boundary effect are reduced, and the shock resistance of the wafer is improved.

The utility model relates to the technical field of water-cooling heat dissipation, and discloses an electromagnetic driving device for a liquid cooling flow channel of a charging pile, which is arranged on the outer side of the liquid cooling flow channel and comprises a mounting seat, the mounting seat is configured to be an insulator, a rectangular channel is arranged in the mounting seat, two ends of the rectangular channel are communicated, and the liquid cooling flow channel can pass through the rectangular channel. Electrode plates are arranged on the two opposite sides of the rectangular channel on the mounting seat, a uniform electric field is formed between the two electrode plates, a plurality of coil assemblies are arranged on the other two sides of the rectangular channel on the mounting seat, and the coil assemblies form a constant magnetic field orthogonal to the uniform electric field after being electrified; and a shell is arranged on the outer side of the mounting seat. The utility model has the beneficial effects that the secondary variable flow of the cooling water can be accurately controlled, the boundary effect of the cooling water in the liquid cooling flow channel is weakened, and the heat exchange effect is improved.

The invention discloses an electric energy quality transaction monitoring method and system based on window function optimization multi-dimensional characteristics, and the method comprises the steps: segmenting obtained historical electric energy quality signal data, carrying out the weighting processing through employing a Bartlett triangular window function, calculating the five statistical characteristics of a data segment, i.e., the variance, skewness, kurtosis, a normalized energy characteristic, and a zero-crossing rate characteristic, and carrying out the calculation of the variance, skewness, kurtosis, normalized energy characteristic, and zero-crossing rate characteristic of the data segment; combining the five statistics to construct five pairs of two-dimensional feature planes, and stacking the five pairs of two-dimensional features into a feature matrix; a power quality transaction depth monitoring model is constructed and trained, and power quality transaction monitoring is performed by using the trained model; according to the method, high-precision automatic identification of seven typical disturbances such as normal disturbance, voltage sag disturbance, voltage rise disturbance, harmonic disturbance, flicker disturbance, voltage interruption disturbance and transient oscillation disturbance is realized, and timely and accurate disturbance alarm and decision support are provided for operation and maintenance personnel of a power system.

The invention provides an urban and rural community life circle public service facility data processing and configuration optimization method, and belongs to the technical field of urban and rural planning and urban and rural simulation. The method comprises the following steps: dividing a city into standard grids, and screening a core area and a buffer area; building a graph retrieval enhancement generation knowledge base on the basis of an unstructured text, and realizing filtering and tracing of planning knowledge according to streets; instantiating a plan agent cluster, generating a resident demand, available resource and facility coverage list, and fusing to form a current situation baseline; mutually overlapped negotiation units are generated through a convolution moving window, and global continuous coverage is realized; constructing multi-dimensional stratified sampling based on mobile phone signaling and population census data, and generating a heterogeneous resident agent cluster; and driving multi-stage co-simulation and consensus evaluation of the planning agent and the resident agent, and outputting an optimization demand list and an action blueprint. According to the method, space continuous coverage, professional knowledge traceability and public participation process quantifiable convergence are realized, and the scientificity and the performability of community facility configuration are improved.

The present invention relates to an adaptive random testing method based on partitioning and adaptive components, comprising the following steps: selecting a public data set; constructing an adaptive random testing model M; selecting a tested program s as required, and forming a program set D, and determining the input domain partition ratio parameter α of M; judging whether the program has defects by selecting the result of inputting a test case into the program; wherein the test case selection is selected by using a calculation method matching the two constructed functions as required. The method of the present invention can quickly and effectively improve the efficiency and accuracy of FSCS‑ART in finding defects.

The invention belongs to the field of seismic data processing, and particularly discloses a CRP gather optimization method, system and device and a medium, and the method comprises the steps: S1, carrying out the statistics of the offset information of all gathers; s2, grouping all gathers according to offset of the gathers; s3, counting the coverage times of each gather in each offset group; s4, fitting a relation function of the compensation coefficient of each gather and the offset grouping to obtain a compensation function of the full offset of each gather; s5, solving a relation function of the ray density changing along with time to optimize the compensation function, and obtaining compensation function curves corresponding to different times; and S6, applying the compensation coefficients in the compensation function curve corresponding to different times to the CRP gather for compensation to obtain an optimized CRP gather. According to the method, the problem that the amplitude relation of the CRP gather is spindle-shaped can be effectively solved, and the precision and the reliability of pre-stack inversion are improved. The method is suitable for CRP gather optimization.

The invention discloses a seismic data processing method for eliminating a window effect, electronic equipment, a storage medium and a device. The method comprises the following steps: inputting to-be-processed seismic data; performing window division on the to-be-processed seismic data based on the first time window length, the first space window length and the overlapping length to obtain a plurality of first windows and corresponding first window seismic data; adjusting each first window based on the second time window length and the second space window length to obtain a plurality of second windows and corresponding second window seismic data; performing interpolation or denoising processing on the second window seismic data to obtain third window seismic data; extracting the third window seismic data based on the first window to obtain fourth window seismic data; and combining all the fourth window seismic data, and carrying out linear weighted transition on the overlapped region to obtain the seismic data without the boundary effect. The method can effectively eliminate the boundary effect of the window, and ensures the stability and rationality of the calculation result.

The application discloses a multi-scale feature fusion neural network phase unwrapping method and system based on De Bruijn stripe coding, first constructs a wavelength-De Bruijn element mapping table; then, the wrapped phase and the background intensity are obtained by using the collected deformation stripes and the background reference map, and the nonlinear cosine component and the phase gradient feature are calculated according to the wrapped phase and the background intensity, so that a multi-channel physical feature input tensor is constructed. Then, the tensor is input into a multi-scale feature fusion neural network with multiple parallel branches. In the training stage, a loss function based on symbol physical wavelength weighting is introduced for constraint. The application directly realizes high-precision prediction of phase order by a deep learning network, does not need additional auxiliary decoding sequence, effectively avoids the complex mathematical principle process and the tedious logic retrieval in the traditional phase unwrapping algorithm, and significantly improves the efficiency of three-dimensional measurement and the robustness to complex environment.