14 results about "Structural distribution" patented technology

The invention provides a real-time data driving-based mortar microstructure regulation and control method, which comprises the following steps of: acquiring flow state data of a mortar material in real time in a construction process through a sensor network, recording internal stress distribution and a particle movement track of the material, and generating an initial flow state data set; if the structure distribution data set does not reach the target threshold value, dynamically adjusting the external intervention intensity through a feedback control module, recalculating vibration or electromagnetic guide parameters in combination with real-time monitoring data, and generating an improved intervention strategy; and for the improved intervention strategy or the material reaching the target threshold value, continuously monitoring the mechanical property index after molding, recording related data of crack resistance and flexibility improvement, and generating a comprehensive performance evaluation result.

The invention relates to the technical field of tank cover packaging pressure control, and discloses a pressure uniformity control method for a tank cover packaging device, and the method comprises the following steps: arranging a plurality of pressure sensors in a packaging region, and collecting three-dimensional stress data; constructing a stress tensor model based on the collected data, and calculating the average pressure of the main shaft; constructing an optimization control function, and adjusting pressure output by taking stress tensor isotropy as a target; according to an adjusting strategy, stress diffusion in an initial loading stage is guided in combination with the elastic flexible structure layer; applying relaxation loading in an asynchronous microcycle according to the guidance of an optimal control function; and recording a loading history, dynamically updating loading parameters and performing compensation adjustment. According to the invention, by introducing the distribution design of the flexible structure which decreases progressively along the gradient direction, and by naturally diffusing and loading stress, the impact concentration phenomenon of a local loading point is significantly weakened, a stress transition zone in a complex structural member can be effectively organized, and the overall stress uniformity and stability in the packaging process are improved.

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 relates to the technical field, in particular to a hidden project acceptance method and system based on a large model, and the method comprises the following steps: building a structure combination sequence through the linkage of a component path stage sequence and a part label number, providing time sequence and part dual constraints in component construction node evaluation, improving the integrity of a component logic chain, and improving the construction efficiency. According to the method, the identification precision and boundary positioning capability of path mutation positions are enhanced, fuzzification of structure mutation region processing is avoided, node spacing analysis and graph neural network topology aggregation are combined, the positioning capability of cross-segment out-of-order nodes is enhanced, accurate extraction of path segment-level sequences is realized, and the accuracy of path detection is improved. Transfer modeling is carried out on the path state by utilizing Markov decision, a logic closed loop from structure distribution feature extraction to state evolution identification is realized, the accuracy and systematicness of acceptance path sorting are enhanced, and the acceptance process under a complex structure relationship has stability and execution consistency.

The invention relates to the field of component identification and positioning, and particularly discloses a rapid identification and positioning method and system for special-shaped components and a storage medium, and the method comprises the following steps: carrying out the clustering of the features of a to-be-detected component according to the feature shape and position information, and obtaining one or more feature groups; calculating the number of pyramid layers and the down-sampling coefficient of each layer of pyramid, constructing a virtual template image of multiple angles, performing matching scanning on the image to be searched by using the virtual template image in a multi-layer pyramid form, and obtaining a rough position and angle estimation of the element to be detected as a rough positioning result; and based on the coarse positioning result, sequentially carrying out pixel-level positioning and size parameter scaling coefficient calculation, checking whether the positioning result is reliable or not, and carrying out sub-pixel-level positioning to adjust the center coordinate and angle of the to-be-detected element so as to obtain a fine positioning result. The scheme has no requirement on the specific form and structural distribution of the element, has good flexibility and universality, and is high in detection speed.

The invention discloses a track design method and system for an electromagnetic track launching device. The method comprises the following steps: constructing an electromagnetic track finite element model, segmenting a track, and setting the thickness of a functional contact layer as a design variable; generating a test set of the thickness of the functional contact layer; operating the electromagnetic track finite element model, establishing a batch simulation calculation process based on the design variables, extracting multi-physical field response index data under each design variable, and constructing a key performance index data set; training the key performance index data set to obtain a prediction function, and forming a mapping relation between the thickness design of the track composite structure and the key performance indexes; defining a multi-objective optimization function and constraint conditions; taking a representative solution in the Pareto optimal solution set of the initial section as the input of an electromagnetic track finite element model, obtaining corresponding state output, and taking the state output as an initial condition of acceleration section simulation to construct an inter-section state transfer mechanism; and selecting an optimal three-section track configuration combination and outputting a corresponding performance index report and a structure distribution diagram.

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.

The application discloses a large-span space structure defect identification method and system, and belongs to the technical field of defect identification. The method comprises the following steps: drawing a structure distribution diagram of a large-span space, identifying a main steel structure, wherein the main steel structure is composed of a main load-bearing component and key nodes, determining a construction period of the large-span space, selecting a plurality of test points, using a detection device to sequentially test the strain of each test point, synchronously collecting strain data at all key nodes, collecting a strain data set, and creating parent nodes corresponding to the test points. By judging whether the target branch and the strain propagation path are the same, the application can identify the change state of the structure stress system, timely find hidden damage, improve the damage positioning ability and evolution evaluation ability, realize early warning and positioning of hidden damage, and overall improve the accuracy of health monitoring of the large-span space structure, thereby guaranteeing the persistence and stability of the large-span space structure.

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.

The invention discloses a protein three-dimensional structure distribution generation method and device and electronic equipment. Relates to the technical field of biological information. The method comprises the following steps: acquiring a target protein sequence and corresponding multi-sequence comparison data; obtaining a target residue embedding parameter and a target residue pair embedding parameter based on the target protein sequence and the corresponding multi-sequence comparison data; based on the multiple groups of initial random main chain structure parameters, the target residue embedding parameters and the target residue pair embedding parameters corresponding to the target protein sequence, adopting a diffusion model to carry out multiple times of prediction to obtain multiple groups of predicted main chain structure parameters corresponding to the target protein sequence; and generating three-dimensional structure distribution of the target protein sequence based on the multiple groups of predicted main chain structure parameters. According to the invention, the technical problem of low protein three-dimensional structure distribution generation efficiency of a method for generating protein three-dimensional structure distribution based on a molecular dynamics simulation mode in the prior art is solved.