340 results about "Physical structure" patented technology

A structural-health-monitoring system is disclosed for real-time detection and autonomous maintenance of physical structures. The system includes a sensor network comprising at least one strain gauge and one tri-axial accelerometer mounted on the structure to generate real-time sensor signals. A perception module filters and normalizes the signals and extracts numerical features such as peak amplitude and dominant frequency. A digital-twin module maintains a finite-element model updated in response to the extracted features. A data-driven surrogate model predicts sensor behavior and refines itself using machine-learning techniques. An anomaly-detection module computes an anomaly score from model residuals or classifier outputs. Upon exceeding a threshold, a maintenance module initiates a maintenance action, including generating an inspection schedule or issuing a control signal to an autonomous inspection or repair device. A learning module continuously improves system performance using reinforcement learning based on historical outcomes. The system supports predictive diagnostics, robotic repair, and automated optimization for long-term structural integrity.

The invention relates to the technical field of database management, in particular to a two-way linkage database table and supervision submission form field synchronous construction method which is applied to a supervision data submission scene. According to the scheme, the method comprises the steps that physical structure metadata of a database table and definition metadata of a supervision submission form are obtained, a semantic vector set is formed by combining metadata semantic analysis and semantic coding, and a bidirectional mapping relation graph is constructed through relation weaving; constructing a linkage propagation path according to a field change event, realizing adaptive bidirectional structure adjustment, generating a field synchronous construction scheme, and driving bidirectional mapping relation graph evolution optimization through feedback learning; according to the method, the bidirectional mapping relation graph and self-adaptive bidirectional structure adjustment are creatively combined, and efficient and self-adaptive bidirectional field synchronous construction is realized.

A system and method for constructing a collaborative digital twin scene model for multiple underground robots belongs to the technical field of digital twin modeling for mines. The system includes a master robot i and sub-robots, both of which are connected to a main control module. The master robot i is equipped with a visualization module, a perception module, a computation module, and a communication module. The system and method for constructing a collaborative digital twin scene model for multiple underground robots is adopted to accurately measure and model the geometric and physical structures of tunnels. It enables the construction of a colored mesh map, which is further imported into Unity3D. Through this process, the pose transmission of the master robot i and the sub-robots within the UWB ranging range is realized, and the local colored mesh maps are stitched into a global colored mesh map.

The invention provides a spatial intelligent three-dimensional modeling method based on a two-dimensional structure design sketch image, and the method comprises the steps: carrying out the preprocessing of an input two-dimensional structure design sketch image, and obtaining a preprocessed design sketch image, extracting two-dimensional structure design features from the preprocessed design sketch image, and encoding the two-dimensional structure design features to generate structured tensor representation; deducing space components, function partitions and constraint logic based on structured tensor representation to construct a sketch semantic graph, nodes of the sketch semantic graph representing physical structure units, and edges of the sketch semantic graph representing connection relations and stress constraints among the physical structure units; determining a node embedding vector corresponding to each node in the sketch semantic graph so as to perform three-dimensional space coding on the node embedding vector to obtain a node potential vector, and generating a geometric reasoning sequence during three-dimensional structure geometric reasoning according to a mechanical logic definition on the basis of edges in the sketch semantic graph, and performing three-dimensional structure geometric reasoning based on the node potential vectors and the geometric reasoning sequence to generate a three-dimensional structure model.

The invention discloses a hydraulic engineering data intelligent monitoring method and system based on digital twinning, and the method comprises the steps: comprehensively considering the actual physical structure, operation parameters and surrounding environment information of a hydraulic engineering when a hydraulic engineering digital twinning model is constructed, and breaking through the limitation that a conventional monitoring means only pays attention to a single parameter or a few parameters; model association data is utilized and visualized display is carried out, management personnel can visually check states and parameter changes of all parts, the monitoring efficiency and comprehensiveness are improved, and the limitation that a traditional monitoring means lacks effective analysis and mining is solved. A risk assessment formula is adopted to convert data into risk indexes, so that managers can visually know the safety condition, when a risk assessment value exceeds a threshold value, the risk development trend and consequences are simulated and analyzed in combination with a model, problems and risks are found in advance, early warning is triggered, and related personnel can formulate response measures such as flood discharge flow adjustment and structure reinforcement according to simulation results. Disaster loss is reduced, and the safety and reliability of hydraulic engineering are improved.

The invention discloses a data center machine room energy-saving optimization method and system based on thermal environment prediction. The method comprises two stages of offline modeling and online prediction optimization. In the off-line stage, a CFD simulation model is constructed based on a machine room physical structure, equipment layout and thermal load parameters, and high-precision temperature field data is generated; using the thermal environment prediction model to input equipment parameters and load change to output future space temperature distribution; meanwhile, an XGBoost hybrid energy consumption prediction model is constructed based on the wind speed ratio or the fan frequency, the number of running fans and related characteristics. In the online stage, the lowest energy consumption and the minimum temperature deviation serve as targets, and a Pareto optimal solution set is generated through an MOEA / D algorithm; the optimal wind speed ratio / frequency and equipment number combination is selected as required to control operation of the air conditioner; and dynamically updating model parameters by sliding a time window to realize long-term robust control of the system. According to the method, intelligent energy-saving control of the machine room is realized by fusing CFD simulation, time sequence prediction, energy consumption modeling and a multi-objective optimization algorithm.

The invention discloses a steam pipe network decoupling steady-state optimization method and device, a medium and a program product, and relates to the technical field of smart city guarantee. The method comprises the following steps: determining node pressure distribution data and flow distribution data when a mass and momentum balance condition is satisfied according to fluid distribution data of a pipe network simulation model corresponding to a physical structure and an actual working condition of a steam pipe network; and determining node enthalpy data meeting an energy balance condition. Determining a condensation phase change node according to the node pressure distribution data and the node enthalpy data, associating the steam enthalpy of the condensation phase change node to a saturation state under the current pressure, and updating a current fluid distribution parameter according to the determined condensation water volume, and taking the parameters of the pipe network simulation model finally reaching the dynamic balance state as the operation state parameters of the steam pipe network under the target operation condition. The problem that the steam pipe network parameters cannot be accurately determined in the prior art can be solved, and the running state parameters of the steam pipe network can be accurately determined.

The invention relates to the technical field of thermal management control, and particularly discloses a thermal management controller regulation and control method and system based on dynamic thermal inertia prediction. According to the method, the dynamic thermal inertia model is constructed through system identification, and the future temperature field evolution and thermal accumulation risks of the system are accurately predicted. On the basis, a multi-layer nested compensation strategy composed of pre-compensation, main compensation and residual compensation is generated in three dimensions of a compensation angle, a compensation order and a compensation domain, and prospective accurate intervention is achieved. In order to evaluate the control effect, an artifact intensity entropy value is introduced as a quantitative index, and a model and a strategy are corrected in real time through an outer ring optimization mechanism to form self-correction. When continuous thermal unbalance caused by hardware design defects is detected, the system can further start hardware cooperative regulation and control, local heat capacity and a heat dissipation path are optimized fundamentally, cross-level cooperative optimization from a control algorithm to a physical structure is achieved, and finally high-precision, low-energy-consumption and self-adaptive system-level thermal management is achieved.

Disclosed herein is a product and methods of using that product for constructing walls and other structures. The product is a locking block that is designed for use in building walls and other structures quickly and inexpensively. The locking blocks are fabricated from polymers to form a robust physical structure that resists damage and provides for a relatively clean work space during assembly. The locking blocks include matching male and female features that reversibly secure the blocks together and are self-aligning to guide workmen on block placement during assembly. The design of the blocks eliminates the need to apply mortar or other adhesive methods to secure the blocks together, which greatly reduces labor costs as compared to typical construction products and methods. Because no mortar or other adhesive is used, the blocks can be efficiently and effectively disassembled and reused.

The invention provides an electric pile operation state stress characteristic evaluation method based on finite element analysis. The electric pile operation state stress characteristic evaluation method comprises the following steps: S1, modeling and assembling according to a physical structure of a solid oxide electric pile to form a full-size electric pile model; s2, simulating a co-sintering process of a porous electrode and a thin-layer electrolyte in the full-size galvanic pile model, obtaining residual stress and a first stress parameter, and calculating first elastic stress and first inelastic stress; s3, acquiring assembly stress and second stress parameters generated in the assembly process, and calculating second elastic stress and second inelastic stress; s4, heating the solid oxide galvanic pile through a temperature control furnace, obtaining thermal stress and third stress parameters, and calculating third elastic stress and third inelastic stress; and S5, integrating the elastic stress and the non-elastic stress as an electric pile operation state stress characteristic evaluation result. The method has the beneficial effects that the limitation in a complex stress coupling scene can be broken through, and the stress superposition effect at different stages can be quantified.

The invention relates to the technical field of quantum, and particularly discloses a physical structure and function exploration method of a light quantum chip based on an e-p-n quantum entangled state basic particle model. Related quantum characteristics are brand-new interpreted based on the e-p-n quantum entangled state basic particle model, and the physical structure and function exploration method of the light quantum chip based on the e-p-n quantum entangled state basic particle model is established based on the e-p-n quantum entangled state basic particle model. The method comprises the following steps: researching basic modules of a light quantum chip, including generation of light quantum, formation of light quantum bits, a light quantum storage and reading scheme, linear optical quantum calculation, a light quantum chip control module, a substrate material of the light quantum chip and the like, and carrying out deep analysis on a light quantum chip technology; and the color, the luminous intensity, the spatial relative position and the like of an object can be judged due to the capability, and the method can be applied to the fields of visual automatic driving and the like.

The invention discloses a flexible interconnection configuration method and system for a power distribution network frame, a medium and equipment, and belongs to the technical field of power distribution network planning of an electric power system, and the method comprises the steps: obtaining an equipment parameter, a source load parameter and a network topology parameter of a current power distribution network; based on the equipment parameters, the source load parameters and the network topology parameters, taking the joint planning of SOP, interconnection switches and lines as an optimization object, taking the lowest comprehensive equiannual value cost of an investment scheme as a target, constructing a target function, and combining a physical structure constraint, an equipment operation constraint, an electrical performance constraint and a network reconstruction constraint to construct a planning model; and iteratively solving the planning model, and outputting a configuration scheme for power distribution network reconstruction. Therefore, by implementing the method, the problems of high investment cost, low operation efficiency and difficulty in realizing efficient consumption of new energy and economic operation of the system under resource constraints caused by lack of cooperation of equipment and line planning in a power distribution network planning configuration method in the prior art can be solved.

Methods, systems and apparatus, including computer programs encoded on computer storage media for unmanned aerial vehicle flight operations near physical structures or objects. In particular, a point cloud of the physical structure is generated using aerial images of the structure. The point cloud is then referenced to determine a flight path for the UAV to follow around the physical structure, determine whether a planned flight path to desired locations around the structure is possible, determine the fastest route to return home and land from a given position around the physical structure, determine possibility of inflight collision to surface represented in point cloud, or determine an orientation of a fixed or gimballed camera given a position of the UAV relative the point cloud.

The invention belongs to the technical field of fault evolution prediction, and discloses a high and low voltage power distribution cabinet fault evolution prediction method and system based on digital twinning, and the method comprises the steps: carrying out the digital three-dimensional mapping of a physical structure and key electrical parts of a target electric cabinet, and obtaining a digital twinning structure; synchronously acquiring real-time operation sensing data and historical manual inspection record data of the target electric cabinet to construct a bimodal data set; performing multi-level coupling on the bimodal data set, and dynamically updating operation parameters in the digital twin structure according to a coupling result; abnormal parameters deviating from a normal operation interval are identified, and early fault features are determined; performing continuous state evolution on the early fault features to obtain target fault features; and carrying out severity quantification on the target fault features, and carrying out risk early warning grading on a quantification result to obtain multi-level early warning information. The method can effectively improve the integrity and accuracy of early fault feature identification, and provides reliable data and model support for fault evolution prediction.

A device and method for differentiating and locating game pieces on a sensorized game board via magnets of distinct strength. A central processing unit coordinates with a sensorized physical structure of an amusement device to participate and / or govern gameplay. The device within the amusement device can be used with a graphic board operating as a board game. Playable and movable objects are tracked through sensors enabling progressive storage of positions assumed by the same objects resulting from voluntary user interactions. In an illustrative scenario, multiple identification units are positioned in the amusement device where game pieces are used. The sensorized board senses the presence of a game piece as the game is played. The identification unit produces an output signal read by the computer that identifies the location and type of game piece. The computer uses the location and identity of the game pieces to monitor or participate in gameplay.

A structure inspection system includes an image conversion device located in a far edge of the structure inspection system that is proximate to a physical structure, and a near edge processor located in a near edge of the structure inspection system that is remote from the physical structure. The image conversion device receives an image of the physical structure, and renders a real time 3D model of the physical structure based on the first images. The near edge processor is configured to provide a baseline 3D model of the physical structure to the image conversion device. The image conversion device further compares the first real time 3D model with the baseline 3D model, and provides an indication when the first real time 3D model deviates from the baseline 3D model.

The invention discloses a ship loading and unloading monitoring method and system based on point cloud data analysis, and relates to the technical field of point cloud data analysis, and the method comprises the steps: carrying out the point cloud data collection for ship loading and unloading, carrying out the normalization operation of a whole point cloud, constructing a point cloud deep learning model, screening a hatch point cloud subset, and calculating the number of neighborhood points of the point cloud, and density constraint is carried out on the point cloud, an outer envelope boundary rectangle based on the point cloud is used as spatial distribution region limitation, and region division is carried out based on point cloud coordinates according to the spatial distribution of the cabin. According to the method, through combination of a density constraint screening method after normalization, effective points which are relatively uniformly distributed are reserved while low-density noise points in point clouds are removed, isolated points and sparse region points which deviate from a physical structure of a hatch are eliminated through density constraint, and through a closed-loop adjustment mechanism of orthogonal verification after normal vector normalization, a high-density noise point in the point clouds is eliminated. And a pseudo-orthogonal phenomenon caused by a calculation error or an environmental influence is avoided.

The improved dish stand is configured for use with cookware, crockery, and cutlery. The improved dish stand forms a containment structure that elevates the cookware, crockery, and cutlery above a supporting surface. The improved dish stand receives the cookware, crockery, and cutlery while the cookware, crockery, and cutlery is wet. The improved dish stand forms a structure that: a) allows gravity to drain water from the cookware, crockery, and cutlery; and, b) provides a flow path that transports the drained water into the DWV of a domestic plumbing system. The improved dish stand incorporates a pedestal structure, a stand structure, and a plurality of segregated spaces. The pedestal structure is a load bearing structure that elevates the stand structure above the supporting surface. The plurality of segregated structures are formed within the stand structure. The stand structure forms the physical structure that receives the cookware, crockery, and cutlery.

The invention discloses a method and device for predicting transverse mechanical properties of a composite material, and a storage medium, and belongs to the technical field of composite materials. The method comprises the following steps: firstly, establishing a mesoscopic representative volume element model considering fiber random distribution and diameter fluctuation; constructing a transverse mechanical property database of the composite material; establishing a CNN model and an ANN model by taking the RVE microstructure image and physical structure parameters such as fiber volume fraction, clustering degree, uniformity and diameter distribution as input; analyzing and verifying the equivalent characterization capability of ANN input parameters on image features, and establishing a CNN-ANN fusion modeling strategy; and carrying out interpretability analysis on the optimized ANN model, and quantifying the contribution degree and the influence direction of each microstructure parameter to the mechanical property. According to the method, efficient and accurate performance prediction with physical interpretability can be realized under the multi-source uncertainty condition, the experiment and calculation cost can be reduced, and the reliability and engineering application value of the composite material structure design can be improved.

The invention relates to the technical field of transformer substation analysis, in particular to a transformer substation equipment state analysis method based on multi-sensor collaborative perception, which comprises the following steps of: acquiring original monitoring data, performing spatial position calibration by adopting an equipment body three-dimensional coordinate system, and generating a sensing data stream with time-space alignment; the sensing data streams are distributed to corresponding structural units according to the equipment mechanical connection topological relation, correlation calculation is carried out on cross-sensor data of the same structural unit, and a multi-dimensional feature matrix with physical structure correlation is generated; and a fault conduction network is constructed, and when it is detected that the features of a certain structural unit are abnormal, potential fault sources are traced bidirectionally along the mechanical connection path and the heat conduction path. According to the method, the physical consistency of different sensor data in a structural space is ensured, so that the precision of early-stage micro-fault identification of equipment is effectively improved, and misjudgment or missing detection of local abnormality is avoided.

The invention provides an integrated circuit chip heat dissipation structure optimization design method and system, and relates to the technical field of integrated circuits, and the method comprises the steps: obtaining chip physical structure parameters, power consumption distribution data and heat dissipation requirements, building a three-dimensional thermal field model, determining a hot spot region, designing a honeycomb-shaped phase change material, and optimizing the size and density distribution of the honeycomb-shaped phase change material. And carrying out lightweight design by adopting a topological optimization algorithm, and finally generating machining process parameters. According to the invention, accurate heat dissipation for the hot spot area of the chip is realized, the heat dissipation efficiency is improved, the material usage amount is reduced, and the service life of the chip is prolonged.

Methods, systems, and apparatus, including medium-encoded computer program products, including: receiving, by a shape modeling computer program, a selection of first geometry defined in a data structure used by the computer program to represent a three-dimensional model of an object and an indication of an amount of complexity reduction, The computer program produces a second geometry defined in the data structure based on the indication of the amount of indicated complexity reduction and taking into account local shape curvature for the first geometry, where the second geometry replaces the first geometry in representing the three-dimensional model of the object. The computer program provides the three-dimensional model of the object, with the second geometry included in the three-dimensional model, for use in manufacturing a physical structure corresponding to the object using one or more computer-controlled manufacturing systems, or for use in displaying the object on a display screen.

The invention discloses an application method and system in an intelligent building control system in combination with a DNN and LSTM model, and relates to the technical field of intelligent building control and artificial intelligence fusion, and the method comprises the steps: building a spatial digital twinborn system based on a BIM model, extracting a building physical structure and equipment layout relation, employing multi-dimensional input information, and carrying out the building physical structure and equipment layout relation; constructing a space static parameter code oriented to intelligent control; constructing a multi-source heterogeneous sensing channel driven by the IoT middle station, fusing dynamic environment information and space static parameter coding, and constructing multi-dimensional time sequence input by adopting a fixed time interval and a unified timestamp mechanism; constructing a multilayer neural inference network with heterogeneous fusion of LSTM, Attention and DNN, fusing time sequence modeling and feature mapping capabilities, and constructing a data closed-loop architecture of building information and multi-device linkage; according to the method, fusion modeling of the space structure and the time sequence data is realized, and the multi-device linkage control precision and the self-adaptive capability of the intelligent building are improved.

The invention provides a multi-physics field joint inversion method and device in geothermal exploration. The method comprises the following steps: acquiring seismic data, electromagnetic data and logging data in geothermal exploration; determining a loss function of the multi-physics field joint inversion network according to well point constraint loss, earthquake constraint loss and electromagnetic constraint loss in geothermal exploration and gradient consistency loss of the multi-physics field joint inversion network; according to the loss function of the multi-physics-field joint inversion network and seismic data, electromagnetic data and logging data in geothermal exploration, constructing the multi-physics-field joint inversion network; according to the method, the multi-physics field joint inversion network can be accurately constructed, the problems that traditional electromagnetic seismic joint inversion excessively depends on rock physical relation or physical property structure consistency assumption, and implementation conditions are harsh are solved, and a data basis can be provided for geothermal exploration.

Methods, systems, and apparatus, including medium-encoded computer program products, for computer aided design of physical structures using three-dimensional model synthesis processes. A method includes: obtaining a build angle, a manufacturing direction, a design space, and one or more design criteria for use in a shape synthesis process, the build angle and the manufacturing direction being for an additive manufacturing process; performing the shape synthesis process including applying a build-angle filter to a boundary-based computer-data representation of an intermediate version of the shape of the modeled object during multiple iterations, including removing a portion of material from the intermediate version of the shape in accordance with the build angle and the manufacturing direction to make the intermediate version of the shape self-supporting in a vicinity of the portion of material; and providing the shape of the modeled object for use in manufacturing using the additive manufacturing process.

The invention provides a digital twin green building energy consumption dynamic detection system, and relates to the technical field of building energy consumption detection. According to the system, the data acquisition modules are deployed at key parts of a building, energy consumption data of subsystems and equipment operation state data can be acquired in real time, the problems of data fragmentation and incomplete coverage in traditional monitoring are solved, and a complete and reliable data basis is provided for energy consumption analysis; the digital twinborn modeling module constructs a virtual twinborn model synchronously mapped with a physical building based on building physical structure parameters, equipment parameters and real-time collected data, visually presents building energy consumption distribution and equipment operation states, realizes conversion of energy consumption data from abstract numerical values to visual scenes, and improves the energy consumption modeling efficiency. Management personnel can conveniently and quickly master the overall condition of building energy consumption.

The invention provides a shield tunneling machine cutterhead shape and nature integrated digital twinning method based on calculation and measurement fusion, and belongs to the technical field of digital twinning. The method comprises the steps that firstly, based on the actual physical structure of the shield tunneling machine cutterhead, a shield tunneling machine cutterhead geometric model is constructed, finite element simulation analysis is conducted, and shield tunneling machine cutterhead discretization geometric data and simulation calculation data under different working conditions are obtained; secondly, collecting multi-source heterogeneous data in real time, processing to obtain effective measured data, fusing the effective measured data with simulation calculation data, constructing an intelligent prediction model based on calculation and measurement fusion, and realizing high-fidelity dynamic monitoring; and finally, carrying out deep fusion on the shield tunneling machine cutterhead discretization geometric data and the intelligent prediction model, constructing a shape and nature integrated digital twinborn model, and carrying out high-fidelity real-time visual rendering. The method is high in calculation efficiency, and can achieve the precise monitoring and reliability evaluation of the health state of the cutter head of the shield tunneling machine in the full life cycle.

This application discloses a computing system to obtain a wafer image of an electronic device having physical structures manufactured using one or more lithographic masks associated with a layout design describing the electronic design. The computing system can implement an unsupervised deep learning algorithm to process the wafer image to remove at least some noise from the wafer image, which generates a denoised wafer image. The computing system can extract contours corresponding to the physical structures of the electronic device from the denoised wafer image of the electronic device without use of the layout design or a mask design. The computing system can calibrate the layout design or the mask design describing the one or more lithographic masks based, at least in part, on the contours extracted from the denoised wafer image.

The invention relates to the technical field of folding screen testing, and discloses a reliability testing method and system for a folding screen mobile phone. The system comprises a test partition decision module, a dynamic test strategy module, an abnormal response analysis module and an adaptive enhancement module. The test partition decision module obtains physical structure parameters and historical deformation data of the folding screen and divides the folding screen into a screen center flexible area, a hinge stress concentration area and an edge packaging area; the dynamic test strategy module generates current and target test strength levels for each test partition; the abnormal response analysis module calculates the partition test deviation degree according to the target and actual test strength grade difference; the adaptive enhancement module generates a predicted test strength level for a next test period based on the test deviation and historical test data. The system can improve the test accuracy and efficiency, and meets the reliability test requirements of each region of the folding screen.

Methods, systems, and apparatus, including medium-encoded computer program products, for computer aided design of physical structures include: rendering, to a display device of a first user, a first user's view into an extended reality environment, the first user's view being generated using a first pose being tracked for the first user; identifying that a first avatar associated with the first user has entered a shared perspective mode with a second avatar associated with a second user of the XR environment, wherein the shared perspective mode has a single frame of reference in the XR environment that is shared by the first user and the second user; and performing, while in the shared perspective mode, the rendering to the display device of the first user.