9 results about "Dense array" patented technology

The invention provides a micro-motion exploration data processing method and system for automatic partitioning of a two-dimensional dense array, a medium, equipment and a product, and relates to the technical field of micro-motion exploration, and the method comprises the steps: obtaining the spatial position coordinates of stations in the two-dimensional array and the waveform data of the stations, and carrying out the batch preprocessing of the waveform data of the stations; based on the spatial position coordinates of the stations, performing k nearest neighbor rolling partition on the stations; carrying out frequency dispersion energy spectrum calculation on the stations in each partition based on the station waveform data after batch preprocessing, and picking up the frequency dispersion energy spectrum by adopting an automatic correction picking-up method; a data processing modular workflow for data import, data preprocessing, station partitioning and frequency dispersion calculation is established for modular processing. According to the method, the data processing efficiency and effect of two-dimensional dense array micro-motion exploration can be remarkably improved.

The invention discloses an equivalent analysis method based on a wide-spacing low-sidelobe horn antenna array, and relates to the technical field of simulation analysis. A phase lag characteristic when electromagnetic waves pass through a medium is utilized, a symmetric medium is taken as the medium, equivalent power division is performed on a large-aperture antenna, and a virtual array unit is constructed, so that the size of an array element is equivalently reduced, and the aim of reducing the sidelobe level of the wide-spacing array antenna is fulfilled. According to the scheme, a virtual dense array is equivalently formed by utilizing the phase modulation effect of a medium on electromagnetic waves under the condition of maintaining a wide-spacing physical layout, so that the problem that high gain and low sidelobe performance are difficult to consider at the same time is solved; a passive medium is adopted to replace a traditional complex feed network, so that the problem of complexity caused by a multi-stage power division structure is thoroughly avoided while the insertion loss of the system is remarkably reduced; through the design of the parameterized adjustable dielectric plate, the mutual coupling effect between the array elements is effectively suppressed, so that the actual side lobe performance is highly matched with the theoretical prediction, and the manufacturing cost and the system complexity are greatly reduced while the antenna radiation performance is improved as a whole.

The embodiment of the invention discloses a data processing system of a dense array and a device thereof. The data processing system of the dense array comprises an equipment unit which comprises an array and a mobile communication device, and the array is composed of seismometers of different models; the acquisition unit is used for providing a gateway for data synchronization and information transmission of the mobile communication equipment and providing a format conversion tool for ensuring that data is transmitted according to a unified format; the data unit is used for providing unified data access, data management and index management for multi-source heterogeneous data, and providing data whole-process management and access such as data acquisition, management, archiving storage, query access and the like; the software function unit is used for carrying out standardization processing on the data in the data unit and carrying out task management on array layout in the equipment unit; and the application unit provides a plurality of platform products according to the functions of the data unit and the software function unit.

This invention discloses a composite material frame for a curved thin-shell receiver array. The composite material frame includes a support frame with multiple array element mounting slots. Each array element mounting slot has array element wiring holes. Multiple rubber through holes are evenly arranged on the support frame outside the array element mounting slots. The support frame has multiple transition parts on its outer side, each transition part having a frame mounting hole, and connectors are installed on the frame mounting holes. The manufacturing method of this composite material frame includes: S1, manufacturing a copper mesh shielding layer; S2, manufacturing the composite material frame; S3, manufacturing mounting accessories. The invention also discloses a method for applying this composite material frame to manufacture a curved thin-shell receiver array, including: S1, installing hydrophones and arranging wires; S2, potting and shaping with adhesive; S3, assembling mounting accessories. The advantages of this invention are: reasonable overall design, light weight, high strength, convenient installation and use, good sound transmission performance, high positioning accuracy, dense array element distribution, good vibration resistance, and safety and reliability.

The present invention provides an optical PUF chip, reader system, and encoding capacity evaluation method based on a plasmonic random structure. The optical PUF chip comprises a substrate on which a dense array of nanostructures is deposited using a porous nanofilm as a deposition-assisted template. Due to the randomness and localized defects of the template, as well as the varying gradients of angular deposition, the nanostructures exhibit random variations in size, dimension, and distribution, exhibiting distinct plasmon resonance effects. The nanostructures include densely packed granular structures with statistically distinct variations determined by the template pore size, and clustered island structures determined by random defects within the template. This invention significantly accelerates the mass production of plasmonic chips and can be integrated with devices such as personal smartphones without the need for additional equipment. It provides a simple and direct method for improving encoding capacity, security, and stability, meeting the demands for tag encoding capacity and information verification in diverse fields.

The application discloses a thin-wall structure impact positioning method and system based on a dense array and an intelligent optimization strategy, which comprises the following steps: acquiring an impact stress wave signal and extracting an impact stress narrowband wave signal; calculating the propagation group velocity and the wave number of the impact stress narrowband wave signal; setting initial parameters of an intelligent optimization algorithm; obtaining a fitness function of the intelligent optimization strategy according to a spatial beam focusing algorithm; formulating a population screening mechanism of the direction fitness function; constructing the population screening mechanism of the intelligent optimization strategy, and calculating individuals that are less than the half-power beam width in the angle with the optimal particle and the reference array element in the dense array and whose coordinates are within the monitoring area range at each iteration; iteratively searching the retained individuals that meet the conditions; and predicting the impact source coordinates by using a DBSCAN density clustering algorithm and a Gaussian kernel density estimation. The method and system disclosed by the application can realize accurate positioning at a low sampling rate, and there is no blind area.

The invention discloses a controllable deformation drag reduction microstructure based on a magnetic shape memory polymer, and belongs to the technical field of fluid mechanics drag reduction. Comprising a substrate; the magnetic response composite microcolumn array is regularly arranged on the surface of the substrate, and each microcolumn is formed by compounding a shape memory polymer matrix and magnetic particles uniformly dispersed in the shape memory polymer matrix; the micro-structure can enable the micro-column array to be reversibly and integrally switched between a first form and a second form through cooperative control of an external magnetic field and a temperature field; wherein the first form is a dense array and is used for controlling small-scale vortexes in a high Reynolds number flow field; the second form is a sparse array and is used for controlling large-scale vortexes in a low Reynolds number flow field; and wide-speed-range self-adaptive resistance reduction is realized through form switching. According to the invention, a stable drag reduction form can be rapidly switched to another stable drag reduction form under external excitation, and the drag reduction performance of the drag reduction device under a complex flow field condition is improved.

The invention discloses a three-dimensional surface wave real-time imaging and monitoring method and system for a short-period dense array, and the method comprises the following steps: laying N seismometers in an exploration area, forming a plurality of stations, recording the number and coordinates of each seismometer, and forming a coordinate file; based on the coordinate file, any station O1 is taken as the circle center, a preset distance R is taken as the radius, a grouping array D (O1, R, n) containing n stations is determined, and n is smaller than or equal to N; acquiring seismic data corresponding to n stations in the grouped array D (O1, R, n) from the cloud server; on the basis of the cross correlation coefficients of all station pairs in the n stations, a frequency dispersion curve of the grouping array D (O1, R, n) is obtained through calculation, the frequency dispersion curve is inversed, and a speed-depth curve Vs (O1) below the station O1 is obtained; all N stations are traversed, speed-depth curves Vs (Oi) below all the stations are obtained, and i = 1, 2,..., N; and drawing a three-dimensional surface wave real-time image based on the space coordinates and the speed-depth curve Vs (Oi) of all stations. And the efficiency of dense array three-dimensional imaging is improved.

The invention belongs to the technical field of general structure design, and particularly relates to a design analysis method of a dense array perforated wallboard, aiming at the problem that the time for calculating the dense array perforated wallboard by a traditional finite element is too long, a neural network framework is constructed, and the method is used for analyzing the dense array perforated wallboard. A large number of element-level and structure-level finite element analysis cases of dense array openings are used as training samples of a neural network for network training, and finally the neural network achieves the function of rapidly extracting the equivalent stiffness of any dense array opening structure. A designer does not need to establish a finite element model with dense array trepanning characteristics, and only needs to establish a non-trepanning finite element model and then endow equivalent stiffness for analysis, so that the analysis time is greatly shortened. In addition, the established neural network looks like a'knowledge base 'which can be continuously accumulated and updated, so that the inheritance of knowledge and experience is realized.