7 results about "Structural distribution" patented technology

This invention provides a method for expanding the functionality of directional boreholes for grouting in Ordos limestone aquifers. The method includes acquiring and analyzing mine hydrogeological data, determining the lithological structure characteristics, sedimentary characteristics, geological structural distribution parameters, and hydrogeological parameters of the coal seam floor, constructing a stratigraphic structure model, analyzing the hydrogeological parameters based on the stratigraphic structure model to determine the treatment strata in the Ordos limestone aquifer, analyzing the geological structural distribution parameters based on the stratigraphic structure model to determine the trajectory design parameters for the directional borehole, determining the function of the directional borehole according to the project objective and pre-defined directional borehole function classification information, and designing the directional borehole corresponding to the treatment strata and / or the borehole trajectory design parameters. This method refines the functional classification of directional boreholes, provides design methods for directional boreholes with different functions, expands the functionality of directional boreholes, and makes the surface area treatment technology for Ordos limestone water hazards more comprehensive, applicable, and targeted.

The invention provides a target model training and metasurface structure design method and device. The target model training method comprises the following steps: generating a metasurface structure, carrying out binarization coding on the metasurface structure to obtain a first structure distribution matrix, generating a spectral response corresponding to the first structure distribution matrix, and forming sample data by using the first structure distribution matrix and the spectral response; adding the sample data into the data set, and in response to determining that the number of the sample data included in the data set reaches a first threshold value, training the initial deep learning model by using the data set to obtain a target model, the target model being used for generating a fourth structure distribution matrix corresponding to the to-be-processed spectral response, the fourth structure distribution matrix is used for determining the metasurface structure of the metasurface element to be prepared, and the metasurface element is applied to metasurface color routing. By applying the scheme of the invention, the complexity and the like of the metasurface color routing design can be reduced.

The invention relates to the field of inspection management, in particular to an inspection management system based on machine vision and artificial intelligence, and the system is provided with a risk analysis module which is used for calling steel structure body data corresponding to power equipment so as to extract the structure distribution characteristics of a plurality of corresponding steel structure regions. The damage risk degree characterization value of the steel structure area is calculated by combining the structure distribution characteristics and the number of the movable components connected with the connecting nodes, so that the steel structure area is marked; the inspection detection module is used for carrying out inspection damage detection analysis on the steel structure areas on the basis of marking results of the steel structure areas; and the damage evaluation module responds to an early warning prompt signal sent by the inspection detection module and performs damage evaluation on the steel structure area. According to the method, the damage state of the surface of the steel structure body is accurately judged, so that the damage influence is comprehensively evaluated, the structure safety is guaranteed, and the pertinence and efficiency of damage detection are improved.

Structural distribution unit for use in a complete technical system, characterized by, that the structural distribution unit has an independent, physically formed modular structure, which forwards at least one incoming systemic path via a defined internal distribution structure to several outgoing path segments, the module structure comprises a plurality of spatially, electrically or logically separated connection areas, to which the path segments are uniquely assigned, and wherein the structural distribution unit is designed in such a way, that it structurally enables the continuation of the path segments, without requiring an active switching, control, regulation, evaluation or communication function for this continuation.

The invention discloses a large-span space circular ring structure. The large-span space circular ring structure comprises a circular ring main body structure composed of an inverted triangular space ring truss, a variable cross-section cantilever beam and a floor slab. The C-shaped opening cross section is adopted, an outer ring vertical structural member is omitted, and a 360-degree unshielded annular view is provided for a building. The inverted triangular space ring truss is adopted, the special space function of the inverted triangular space ring truss is exerted, excellent structural bending resistance and torsion resistance are shown, and the requirement for safety of a large-span structure is met. By means of the design of the variable-cross-section cantilever beam, structural distribution is matched with bending moment distribution, and the suspension mass of the cantilever end is reduced. While the structural safety is ensured, the steel consumption is effectively controlled, and the material cost is reduced.

The invention provides a three-dimensional model structure simplification method and system combined with topological optimization, and relates to the technical field of three-dimensional model processing. First, initial three-dimensional model data generated by remote sensing photogrammetry and corresponding scene correlation features are obtained; wherein the initial three-dimensional model data covers model surface geometry, internal structure connection and material correlation information, and the scene correlation characteristics comprise terrain adaptation and structure bearing requirements, then constructing a topological optimization guide rule based on the data with the scene correlation characteristics, executing topological optimization operation and recording a structure adjustment track, and finally, constructing a topological optimization guide rule based on the data with the scene correlation characteristics. The method comprises the steps of obtaining a three-dimensional model middle frame and track information, then formulating a structure simplification strategy matched with a structure distribution rule and associated with key adjustment nodes, executing structure simplification operation and dynamic adaptation to obtain a simplified three-dimensional model structure and an adaptation record, and finally outputting structure data and the adaptation record of the simplified model. The problems of three-dimensional model structure simplification and scene adaptation can be effectively solved.

The invention discloses a power transmission and transformation project water and soil loss dynamic monitoring and early warning method and platform, and relates to the field related to ecological risk alarm, and the method comprises the steps: carrying out the arrangement of monitoring point positions based on the structure distribution data of a target power transmission and transformation project, obtaining N project monitoring point positions, and deploying ground sensor networks on the monitoring point positions in sequence; collecting water and soil associated data of N point location areas, obtaining an unmanned aerial vehicle remote sensing change image according to a preset collection frequency, mapping the water and soil associated data of the N point location areas to the unmanned aerial vehicle remote sensing change image for dynamic twinborn simulation, and establishing a power transmission and transformation project water and soil loss twinborn body; performing synchronous coupling prediction on the real-time water and soil associated data of the N point locations, and outputting water and soil loss parameters of the power transmission and transformation project; and carrying out dynamic graded early warning by adopting a graded early warning mechanism. The technical problems of early warning lag and low accuracy existing in existing power transmission and transformation project water and soil loss monitoring and early warning are solved, and the technical effect of improving the early warning accuracy and timeliness is achieved.