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47 results about "Spatial interaction" patented technology

Tool for vertical lathe machining of ring-cone-shaped thin-walled part and application thereof

The invention discloses a tool for vertical lathe machining of a ring-cone-shaped thin-walled part. The tool for vertical lathe machining of the ring-cone-shaped thin-walled part comprises a tool base plate, a plurality of expanded sliding blocks and a conical block. The tool base plate is in a disk shape, and a through hole is formed in the center of the tool base plate. One end of a mandrel penetrates through the through hole in the center and then is fixed to the tool base plate. One end of each expanded sliding block is used as a clamping face, the outline of the end face of each expanded sliding block is matched with the curved surface of the inner wall surface of a workpiece to be machined, the other end of each expanded sliding block is used as a driving end, and the end face of the driving end of each expanded sliding block is an inclined face. The conical block is connected to the mandrel in a sleeving mode, and the conical surface of the conical block is matched with a conical space. The conical block can be driven to conduct interaction with the conical space, so that the expanded sliding blocks are driven to slide on guide rails in the radial direction to enable the clamping faces of the expanded sliding blocks to abut against the inner wall of the workpiece, and therefore the workpiece is clamped and fixed to be machined. The invention further discloses the application of the tool to vertical lathe machining. The tool for vertical lathe machining of the ring-cone-shaped thin-walled part can clamp and fix the ring-cone-shaped thin-walled part, it is guaranteed that when the workpiece is machined, the gaps between the workpiece and clamps are even, the workpiece will not slide axially, and therefore the machining precision is high. In addition, the tool is convenient to assemble and disassemble.
Owner:WUHAN MARINE MACHINERY PLANT

Geological hexahedron mesh smoothing method based on neighborhood acting force

The invention discloses a geological hexahedron mesh smoothing method based on neighborhood acting force. The geological hexahedron mesh smoothing method comprises the following steps that each vertex of a three-dimensional hexahedron model is traversed; whether the vertex requires smoothing is judged; as for the vertex requiring smoothing, a neighborhood hexahedron mesh sharing the vertex is divided into different blocks according to the attribute value, and the mesh of the same attribute value belongs to the same block; each block is regarded as the "homopolarity" of a magnet, each homopolarity has the same repulsive acting force on the vertex, the acting force is measured by a space mutual acting force model based on a gravity model, and the movement direction and distance of the vertex under the independent acting force of each block are calculated; then the movement component of the vertex along the x-axis, the y-axis and the z-axis under the effect of resultant force of all the blocks is calculated; and the final smoothing position of the vertex is acquired. The original three-dimensional topological relation of the mesh is maintained in the smoothing process, and the sawtooth effect of three-dimensional geological region boundary expression can be reduced so that the smoothing result is enabled to meet the actual geological phenomenon.
Owner:CHINA UNIV OF PETROLEUM (EAST CHINA)

Intelligent location tracking manipulation pen and attitude original data processing method

The invention discloses an intelligent location tracking manipulation pen and a processing method of spatial interaction sensor original data. The manipulation pen comprises a pen-like shell and an intelligent control circuit board, the intelligent control circuit board is arranged in a containing cavity of the pen-like shell, and the intelligent control circuit board comprises a motion sensor, a processing unit, a communication unit, a feedback prompting unit and a space coordinate signal unit. The method comprises the steps that firstly, the motion sensor detects parameters of a manipulation pen sensor; secondly, the processing unit reads the original data of the manipulation pen sensor, and whether the original data of the sensor is valid or not is judged; thirdly, the processing unit conducts average filtering on the original data of the sensor, and the euler angle parameter and the quaternion of the manipulation pen are obtained; fourthly, the euler angle parameter and the quaternion of the manipulation pen are transmitted to a special interactive device through the communication unit, and a spacial sensor of the manipulation pen is determined. The drift phenomenon is solved, a nine-axis motion sensor and the infrared track technology are utilized, so that the precision for tracking the spacial sensor of the manipulation pen is greatly improved, and the user experience is improved.
Owner:SHENZHEN FUTURE 3D EDU TECH CO LTD

Hierarchical clustering network topology structure generation method based on multi-task unmanned aerial vehicle cluster information interaction

The invention discloses a hierarchical clustering network topology structure generation method based on multi-task unmanned aerial vehicle cluster information interaction. The method comprises the following steps: a step of determining an unmanned aerial vehicle cluster set and a position matrix of each cluster; a step of constructing a network topology structure of intra-cluster information interaction of each cluster; and a step of constructing a network topology structure of inter-cluster information interaction. According to the method, the unmanned aerial vehicle cluster is self-organizedby using the hierarchical clustering structure, and the mode of executing different tasks in different clusters is adopted, so that the problems that the scale of the unmanned aerial vehicle clusteris limited and information interaction only faces a single task are solved. Centralized control is adopted in a cluster in SCH topology of multi-task unmanned aerial vehicle cluster information interaction, a minimum spanning tree is calculated with a cluster head as a root to construct a network topology structure of any independent cluster, and therefore information interaction in all the independent clusters is completed. A spatial interaction gravitation model is introduced between the clusters to construct an inter-cluster network topology structure so as to complete information interaction between the unmanned aerial vehicle clusters.
Owner:BEIHANG UNIV

Non-conjugated fluorescent polymer compound with space charge transfer effect, preparation method and organic electroluminescent device thereof

The invention provides a non-conjugated fluorescent polymer compound. The polymer compound has the structure shown in the formula (I), D is an electron donor, and A is an electron acceptor. The invention provides a class of non-conjugated fluorescent polymer compounds with space charge transfer effect, no conjugated unit is connected between the electron donor and the electron acceptor, the chargetransfer between the electron donor and the electron acceptor does not occur through covalent bonds, and the charge transfer is realized through the space effect. The blue light is easily realized because the luminescence wavelength of the polymer based on space charge transfer effect is relatively short. At the same time, the overlap degree between HOMO and LUMO energy levels is very small, andthus the polymer has the relatively small singlet state-triplet state energy difference, thereby the triplet state exciton can be made full use. In addition, the space interaction of the electron clouds of the electron donor and the electron acceptor can occur, so that the fluorescence quantum efficiency is relatively high, and then the high device efficiency can be obtained.
Owner:CHANGCHUN INST OF APPLIED CHEMISTRY - CHINESE ACAD OF SCI

Positioning method for electric equipment and positioning system for electric equipment

The invention discloses a positioning method for electric equipment. The method comprises the following steps: connecting the electric equipment to auxiliary positioning equipment, wherein the auxiliary positioning equipment comprises a positioning module; judging whether position information of the auxiliary positioning equipment can be taken as position information of the electric equipment or not; if so, acquiring the position information of the auxiliary positioning equipment, and transmitting the position information of the auxiliary positioning equipment to the electric equipment by the positioning module; and updating the position information of the auxiliary positioning equipment into the position information of the electric equipment. According to the positioning method for the electric equipment, the auxiliary positioning equipment is connected to the electric equipment, and the position information of the auxiliary positioning equipment is updated into the position information of the electric equipment in order that the electric equipment also has the position information, so that the position information of the electric equipment can be acquired subsequently. Thus, spatial interactions between electric equipment and electric equipment as well as between a user and the electric equipment are realized. The invention also discloses a positioning system for the electric equipment.
Owner:GUANGDONG MIDEA KITCHEN APPLIANCES MFG CO LTD +1

Atmospheric pollutant prediction method and system based on deep learning model

The invention provides an atmospheric pollutant prediction method based on a deep learning model. The atmospheric pollutant prediction method comprises the following steps: converting unstructured input data based on a monitoring station into graph structure data containing structure information; learning spatial interactivity between monitoring stations by using a GNN model; inputting the monitoring station data completing the spatial relationship interaction into a GRUA model to capture the time dependence of PM2.5; and in combination with the to-be-predicted characteristic factors at the future moment k, completing the prediction of the PM2.5 concentration at the future moment k by using the full-connection network. According to the invention, sparsity and non-Euclidean distribution characteristics of environment monitoring stations are considered, and spatial correlation modeling prediction is carried out by combining the advantages of GNN on a spatial interaction relationship; in combination with the capture performance of the GRU on the time correlation, an attention mechanism is fused to capture global information, so that the modeling prediction capability on the time correlation is improved; and in combination with the land utilization type data in the multi-source data, the capture of the model on the spatial correlation is enhanced, so that the accuracy of model prediction is improved.
Owner:国家超级计算深圳中心(深圳云计算中心)

Soil heavy metal risk identification method based on space interaction relationship

The invention discloses a soil heavy metal risk identification method based on a spatial interaction relationship. The method specifically comprises the following steps: S1, obtaining a full-apertureheavy metal-related key industry enterprise list, a soil environment key supervision enterprise list, a key pollution discharge unit list, enterprise POI data, industrial and commercial element supplement data and a remote sensing image of a to-be-researched area; S2, obtaining enterprise basic information associated data containing geographic positions according to the industrial and commercial element supplementary data and the enterprise POI data; S3, judging whether buildings or enterprise factories exist in the area or not to obtain pollution enterprise point location data; S4, performingbivariate local space autocorrelation analysis on the soil heavy metal risk level and the density value of a pollution enterprise to obtain a space interaction relationship between the soil heavy metal and the pollution enterprise; and S5, carrying out risk identification on the research area. According to the method, the existing soil heavy metal partitioning method and thought are expanded, andthe method has important theoretical and practical significance for further managing and preventing soil heavy metal pollution.
Owner:ZHEJIANG UNIV
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