6 results about "Rotation field" patented technology

The invention provides a multi-modal information acquisition and roof global attitude monitoring method and system, and relates to the technical field of mining safety monitoring and roadway surrounding rock control. The method comprises the following steps of: acquiring acoustic, optical, electrical and mine pressure multi-source data by arranging a fan-shaped drill hole, an annular electrode array and various mine pressure monitoring devices; a wave velocity profile, a fracture parameter set and a resistivity equivalent cloud picture are generated through wavelet noise reduction, fracture recognition and resistivity inversion, space-time registration with a mine pressure data sequence is carried out, and roof partition probability distribution is output through a space-time feature pyramid network. Furthermore, improved XGBoost is adopted for joint inversion of the thickness of the loose circle, the Poisson's ratio and the elastic modulus, probability distribution serves as a space weight, the separation amount and anchoring stress data are fused, and a roof displacement field, a curvature field and a rotation field are reconstructed. And finally, generating an early warning based on a preset safety threshold value, outputting a posture partition map and a monitoring report, and realizing top plate posture transparent deduction and support coordinated regulation and control.

The invention provides a water and fertilizer decision control terminal for wheat and corn rotation, and relates to the field of agricultural planting. The wheat and corn rotation water and fertilizer decision control terminal comprises a data acquisition module, a local data preprocessing unit, a data transmission module, a decision control module, an irrigation and fertilization execution module, a terminal display and interaction module and an unmanned aerial vehicle monitoring module, the terminal display and interaction module is used for displaying real-time monitoring data, a water and fertilizer decision scheme, an equipment running state and other information of a field parcel, and receiving an operation instruction input by a user; and the unmanned aerial vehicle monitoring module carries various cameras to inspect the field. By accurately collecting field data and combining with the decision of the deep learning model, accurate irrigation and fertilization of the wheat and corn rotation field are realized, the utilization efficiency of water and fertilizer is improved, resource waste is reduced, the yield and quality of crops are improved, and meanwhile, the method has good stability and reliability.

The invention discloses a rotating sound source recognition and positioning method based on a deep convolutional attention neural network, and belongs to the field of rotating sound source recognition, and the method comprises the steps: firstly carrying out the motion compensation and modal expansion of a sound pressure cross-spectrum matrix through a modal decomposition rotating beam forming algorithm, and generating a sound source distribution diagram in a rotating scene; then the sound source distribution map is input into a deep convolution attention neural network model, the model adopts an encoder-decoder structure, a channel and a space attention mechanism are fused, key sound source features are dynamically focused, noise interference is suppressed, and high-precision reconstruction of the sound source distribution map is achieved; and finally, carrying out local maximum value detection on a prediction map output by the network, and extracting a sound source space position. According to the method, the Doppler effect and phase distortion problems in rotating sound source positioning are effectively overcome, and the positioning precision, the anti-noise performance and the calculation efficiency in a complex rotating field are remarkably improved.

The present application belongs to the field of structural deformation reconstruction, and specifically discloses a structural deformation reconstruction method and system based on a four-node inverse plate shell element containing a drilling degree of freedom, comprising: discretizing the structure into a plurality of four-node inverse plate shell elements, and constructing a shear strain matrix by using a discrete shear gap method; kinematically constraining the drilling degree of freedom by using a continuum mechanics rotation field, solving the continuum medium rotation by deriving the global coordinate system from the natural coordinate system shape function, and supplementing the sixth degree of freedom of the element around the normal line; deriving a coordinate transformation matrix based on the assigned sixth degree of freedom, introducing a node coordinate system, transforming the element stiffness matrix to the node coordinate system, and then transforming it to the global coordinate system; and finally, incorporating the above construction method into the least squares functional framework, assembling the global inverse finite element equation by minimizing the error between the theoretical strain and the measured strain, and reconstructing the full-field displacement of the structure. The present application can realize high-precision deformation reconstruction of complex stiffened plate shells and large-curvature structures.

The invention relates to the technical field of spaceflight space electric propulsion, in particular to a magnetic reconnection electric thruster electromagnetic topology integrated simulation system which comprises a high-density spiral wave ion source simulation area, an RMF rotating magnetic field simulation area and a discharge chamber model. Wherein the high-density spiral wave ion source simulation area comprises a spiral wave ion source antenna area and a spiral wave ion source steady-state magnetic field area; the RMF rotating magnetic field simulation area comprises a plasma acceleration section steady-state magnetic field area and a rotating field antenna area; the discharge chamber model comprises a discharge model, a magnetofluid model, a particle collision model and a plasma transport model. The whole working process of the magnetic reconnection electric thruster can be simulated, the performance of the magnetic reconnection electric thruster under different electromagnetic parameter combinations can be rapidly predicted, and the problems that an existing spiral wave ion source and an RMF acceleration device electromagnetic field are difficult to match, and interference exists among multiple electromagnetic fields are solved.

The application discloses a kind of based on rotation driving deformation and direction field collaborative optimization laser metal deposition layering slicing method and equipment, three major manufacturing targets, such as support-free, strength enhancement and surface quality, are converted into the geometric constraint of local deposition direction of each point in model interior, and it is not directly to find messy direction, but a smooth quaternion rotation field is calculated for the whole model, and the optimization target is to find a virtual rotation deformation, so that when the model is deformed according to the field, it can be printed only with a fixed global direction (such as the vertical Z axis), and everywhere meets the constraint conditions such as support-free, then, the height information of the deformed model is mapped back to the original shape, forming a scalar field, and the isosurface of the scalar field is the final curved surface processing layer. The optimized rotation field ensures that the generated curved surface layer is not only geometrically optimal, but also can be directly and safely used for actual multi-axis machining, with more stable structure and higher precision.