8 results about "Point source" patented technology

The present application relates to the field of pollutant diffusion simulation and disaster emergency, in particular to a calculation method of pollutant point source explosion diffusion based on local micro-meteorological environment, comprising the following steps: S1. Data acquisition and preprocessing: obtaining local micro-meteorological data, point source pollutant parameters and terrain data, and performing data preprocessing; S2. Explosion parameter inversion: based on pollutant characteristics, initial release conditions and micro-meteorological environment parameters, key parameters of explosion shock wave and pollutant release are inverted; S3. Micro-meteorological-explosion-diffusion coupling simulation: a coupling model of micro-meteorological field, explosion shock wave field and pollutant diffusion field is constructed to simulate the interaction process; S4. Result output and visualization: the calculation results are sorted and analyzed, key information is output, and graphical display is performed. The present application realizes fine input and dynamic coupling of local micro-meteorological elements, establishes a linkage model of explosion shock wave and local airflow, and constructs a parameter adjustment mechanism for different local scenes.

The present application provides a multi-source satellite cooperative-based atmospheric carbon monoxide plume identification and quantification method, comprising: training a ViT model using TROPOMI data to realize global CO plume intelligent rough screening, and generating a first-level mask by SAM after detecting an event; introducing GaoFen-5 AHSI data for a first-level event, performing matching filtering to invert a CO enhancement field and driving SAM to generate a second-level mask; introducing WorldView-3 data for a second-level event, inverting a CO enhancement field through a logarithmic radiation ratio and driving SAM to generate a third-level mask. Finally, according to the resolution of each level of satellite, the IME method is used to estimate the emission rate of each level of point source. The present application constructs a three-level cooperative automatic detection system of 'global scanning-regional detailed investigation-local precise investigation', effectively improves the automation level and attribution ability of CO point source detection, and is suitable for emission verification of key industries and facilities.

This invention discloses a simulation data generation method, apparatus, electronic device, and storage medium. The method is used to simulate imaging data from a radiation tomography (RTG) device. The method includes: acquiring point source information for multiple preset point sources in a preset virtual imaging space; for each preset point source, performing simulated imaging based on the detector parameters of the RTG device and the point source information to obtain first simulation data for that preset point source; selecting at least one set of preset point sources from the multiple preset point sources, each set including at least some preset point sources; and for each target phantom, obtaining target simulation data for that target phantom based on the first simulation data from the corresponding set of preset point sources. This approach can quickly and efficiently generate diverse simulation data, thereby providing a large amount of effective training data for deep learning models.

The present application provides a shale gas infill adjustment well productivity prediction model, method, device and medium. The establishment method comprises the steps of establishing a physical model, establishing a seepage model, deducing a point source solution and establishing a horizontal well group productivity prediction model, wherein in the step of establishing the horizontal well group productivity prediction model, the influence of long-term fracture conductivity is considered. The prediction method is realized based on the established model. The device comprises a processor and a memory storing instructions for executing the above method. The storage medium stores program instructions. The method proposed in the present application can calculate the productivity of shale gas infill adjustment wells considering inter-well pressure interference and long-term conductivity, and the calculation result is more accurate than existing methods. The method improves the accuracy of shale gas infill adjustment well productivity prediction and has a wide application prospect.

This application discloses a two-dimensional DC electric field forward modeling method, apparatus, electronic device, dielectric, and product. The method includes: taking the variational problem of a two-dimensional wavenumber domain point source DC electric field as the research object; dividing the model region of the dielectric model into several triangular elements and expanding the model region with a sparse mesh; reading the conductivity and potential of the principal nodes in each triangular element, and representing the conductivity and potential with quadratic interpolation shape functions to obtain a discrete model; constructing a system of linear equations based on the discrete model and the coefficient matrix of each triangular element; solving the system of linear equations to obtain the wavenumber domain forward modeling result; and performing an inverse Fourier transform on the forward modeling result to obtain the spatial domain electric field potential. The method increases the number of nodes in the mesh during model region meshing, reduces computation time by expanding the model, and utilizes more node property information through biquadratic interpolation of conductivity and potential within the mesh, thereby improving the accuracy of the two-dimensional DC electric field forward modeling fitting.

An additive manufacturing technique uses digital mask-based illumination and a polar-based build environment for increased throughput. In one embodiment, the build environment comprises a rotating element having a surface. A coater is configured to deposit photopolymer material on the rotating element at a given flow rate. As the element rotates and the coater deposits the photopolymer material, a radiation source of an image scanning system projects an array of point sources (an image) onto the photopolymer material for an exposure time to cure a given layer. As the photopolymer material is deposited layer-upon-layer, and for each layer, a control system adjusts a relative position of the coater with respect to the surface, adjusts a speed of rotation of the rotating element, and maintains the flow rate and the exposure time constant.

The application discloses a kind of small light weight light shield design methods for inhibiting space stray light, comprising: the input condition of light shield design is reviewed;If review passes, determine the light shield structure selection;Carry out the preliminary design of light shield;Stray light simulation analysis is carried out to the light shield of preliminary design, and the point source transmission ratio of preliminary design point is obtained;If the point source transmission ratio of preliminary design meets the point source transmission ratio requirement value, carry out the detailed design of light shield;Stray light simulation analysis is carried out to the light shield of detailed design, and the simulation point source transmission ratio is obtained;If the simulation point source transmission ratio meets the point source transmission ratio requirement value, then the final light shield is obtained.The method disclosed in the application considers the constraint conditions of stray light suppression angle and size through multiple optimization, breaks through the key technology of star sensor for different incident angle stray light suppression demand and lightweight design, and solves the light shield lightweight design demand.

This invention discloses a near-field RCS measurement calibration method based on scattering center topological mismatch compensation. Addressing the systematic error problem introduced by the mismatch between the distributed scattering characteristics of the complex target and the ideal point source calibration body when using traditional metal sphere calibration, a physical model of calibration error incorporating near-field spherical wave effects is established. The method preprocesses data by extracting scattering centers and removing outliers, generates a global initial search point set using feature analysis of the error function sensitivity tensor, and performs local precise optimization using an improved parallel LM algorithm. Finally, it obtains the optimal spatial position parameters of the target that minimize measurement error. This method effectively compensates for RCS amplitude oscillations and phase distortion caused by phase center mismatch, reducing the root mean square error (RMSE) of RCS measurements for complex targets such as ship hulls from approximately 15% to below 5% in the Ka-band, significantly improving the accuracy and reliability of electromagnetic scattering characteristic measurements in the field and anechoic chamber.