563 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.

Various embodiments relate to a method and related device and machine-readable storage medium including one or more of the following: receiving, via a first user interface scene, a user specification of a physical structure; committing a data representation of the physical structure to a digital twin; transmitting the digital twin to a remote device; receiving an update to the digital twin from the remote device, producing an updated digital twin; and rendering, via a second user interface scene, a graphical representation of the updated digital twin.

Physical structures having kinematic compatibility are disclosed. One example of a physical structure includes walls that are connected together such that the physical structure is moveable between a flat-folded state and an expanded state. In the expanded state, the physical structure at least partially encloses a volume. One or more of the walls may include two or more panels. The structure may include locking mechanism(s) to stabilize the structure in the expanded state. The structure may include mechanical assistance component(s) that reduce the force that need be applied to move the structure from the flat-folded state to the expanded state. Physical structures that are moveable between a flat unfolded state and a folded state are also disclosed Such physical structures may include connected panels that are moveable between the flat unfolded state and the folded state. In the folded state, a physical structure may at least partially enclose a volume.

The invention provides a tunneling equipment autonomous navigation positioning method and system based on multi-source data, and relates to the technical field of inertial navigation, the method comprises the following steps: connecting multi-source monitoring equipment, obtaining a multi-source data set, carrying out space-time alignment, and establishing a monitoring data network; butting the transparent geologic model, and fusing the transparent geologic model with a monitoring data network to construct a virtual model; fitting the physical structure parameters and the operation state parameters of the tunneling equipment to the virtual model, positioning the tunneling equipment, and performing tunneling path optimization search; performing attitude and inertia analysis in the virtual model based on the planned path to obtain a path attitude strategy; and carrying out operation navigation control on the tunneling equipment. According to the method and the device, the technical problem of high difficulty in long-time navigation and positioning in a complex environment due to lack of autonomous navigation of the tunneling equipment is solved, and accurate positioning of the tunneling equipment in the complex environment is realized through fusion of multi-source monitoring and the virtual model, so that the tunneling efficiency and safety are improved.

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.

The invention relates to the technical field of copper rod production, in particular to a high-frequency vibration rolling method, system and equipment for multi-pass continuous rolling of a copper rod, and the method comprises the following steps: acquiring an expected index of the copper rod, establishing a rolling process flow according to the expected index of the copper rod, and distributing continuous rolling passes according to the rolling process flow; calculating and setting corresponding high-frequency vibration frequency and rolling force for each continuous rolling pass; performing hardness detection on the production result of each continuous rolling pass, and calculating the physical structure and performance of the copper rod in the production process according to the hardness detection result; and the high-frequency vibration frequency and the rolling force are fed back and corrected for the fixed continuous rolling pass based on the expected indexes of the copper rod according to the physical structure and the performance of the copper rod. According to the invention, the problems of unstable surface quality, non-uniform crystal grains, energy waste and the like in the traditional copper rod production are effectively solved.

The invention provides a high-voltage switch cabinet anti-condensation method based on simulation optimization and a storage medium. A three-dimensional physical structure model of the high-voltage switch cabinet is established in simulation software, material attributes and boundary conditions of all parts are set, steady-state or transient simulation calculation is carried out, and distribution of a temperature field, a humidity field and a flow velocity field in the cabinet is obtained. And on the basis of a simulation result, constructing a dew point distribution matrix, identifying condensation risk areas, and extracting geometric center, volume and temperature and humidity characteristics of each risk area. And the arrangement point and the power level of the heater are determined by calculating the heating power required by each condensation risk area, so that the anti-condensation design of the high-voltage switch cabinet is realized. According to the method, the condensation risk area in the cabinet can be accurately identified, the configuration of the heating power is optimized, and the balance and high efficiency of the anti-condensation effect are ensured. According to the invention, the precision and reliability of the anti-condensation design are improved, the problem of excessive heating or insufficient heating is avoided, and the safe and stable operation of the high-voltage switch cabinet in a complex environment is ensured.

The invention discloses a macro server system, an application method, electronic equipment and a storage medium, and relates to the technical field of computers, physical devices (equipment components) of the macro server system are modularly designed to be combined into modules with different functions, and the physical devices support hot plugging, so that the physical devices can be conveniently and quickly combined into modules with different functions. Meanwhile, a plurality of physical devices are connected through a high-speed communication network to form a distributed module cluster, so that a large number of computing resources, management resources and network resources can be packaged into an independent server environment, and the limitation of a current server in the aspects of processor performance, bandwidth, physical structure, hardware quantity, firmware resources and the like is solved; according to the technical scheme, the macro server system capable of supporting large-scale data processing, high-concurrency access and complex operation is constructed, so that the technical problem of how to improve the performance and expandability of the server can be solved, and the technical effect of constructing the macro server system capable of supporting large-scale data processing, high-concurrency access and complex operation is achieved.

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.

Techniques for computer science, data science, data analytics, computer software, algorithmic analysis, and networked technologies for sourcing, procurement, manufacturing, and supply chain management in small-to-medium manufacturing (“SMM”) industries that involve processes whereby implementing user input and extracted image and text from engineering drawings may be used to map manufacturing requirements to a subset of manufacturers via natural language agent programs. More specifically, natural language agent programs may be implemented to apply input and extracted image and text from engineering drawings to a large language model (“LLM”). An example method may include receiving a user input including data representing requirements to manufacture a physical structure, concatenating an engineering drawing summary data, a shoptype description, and estimated part size instruction data to combine the at least two of the engineering drawing summary data, the shoptype description, and the estimated part size instruction data to generate a subset (e.g., a list) of qualified manufacturers (e.g., SMMs).

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 relates to the technical field of fire safety, and discloses a partition controller linkage method, device and equipment and a storage medium. The method comprises the following steps: acquiring original fire sensing data acquired by a plurality of fire-fighting sensors in each independent partition, and performing preprocessing of a plurality of sensing types; extracting space-time dimension features from the preprocessed data, generating fire behavior space-time feature vectors, and performing multi-source evidence weight fusion; performing fire abnormal mode identification and evaluation on the fused fire spatio-temporal feature vector to obtain a partition preliminary fire evaluation result, transmitting the partition preliminary fire evaluation result to a main controller, and performing global fire situation fusion based on a building physical structure and a partition connection relationship to obtain an overall fire situation evaluation result; and generating a multi-partition cooperative fire extinguishing execution scheme based on the overall fire situation assessment result, and controlling fire fighting equipment in each partition to perform linkage fire fighting. According to the invention, multi-source data fusion and cross-partition collaborative linkage of building fire are realized, and the fire detection accuracy and the fire-fighting response efficiency are improved.

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 multi-cylinder hydraulic equipment data interaction system based on digital twin drive, and relates to the technical field of industrial automation control. The problems that in the prior art, data acquisition and processing lack flexibility and pertinence, model construction and optimization are not perfect enough, and simulation optimization and real-time feedback are lacked are solved. Accurate perception and fault early warning of the equipment state are realized by optimizing the sensor layout and adjusting the acquisition frequency, the physical structure and the working principle of the equipment are accurately described by adopting a digital twin model, and the current and future running states of the equipment are scientifically evaluated and effectively predicted in combination with an evaluation index system of a state analysis unit. A basis is provided for advanced maintenance, the equipment fault risk is reduced, a digital twin model is used for simulating the implementation effect of a control strategy, a control instruction is optimized according to simulation evaluation, the execution effect is monitored in real time for dynamic adjustment, accurate control over equipment is ensured, the stability and reliability of equipment operation are improved, and the production efficiency is improved.

The present invention discloses a cleaning robot and a steering device therefor and a cleaning method thereof. The cleaning robot does not rely on a circuit or sensor for path planning to perform cleaning operations, and has an automatic direction adjustment function by means of a physical structure design, which can improve working efficiency and reduce production costs.

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.

A window mounted wireless gateway system having an indoor unit to communicate with user equipment within a physical structure and an outdoor unit configured to communicate with a network. The indoor unit and outdoor unit may, respectively, be applied to the interior and exterior panes of a window of the structure. The indoor and outdoor units may be in optical communication with each other via optical signals transmitted through the window.

The invention provides a random generation method for a physical structure of a catalytic layer of a proton exchange membrane fuel cell, which comprises the following steps: firstly, calculating control parameters, and secondly, generating a carbon carrier phase, specifically, S21, generating a new carbon sphere; s22, judging whether the new carbon sphere is a growth nucleus, if not, executing S23, if so, further judging whether the new carbon sphere is overlapped with other carbon spheres, if so, returning to S21, and if not, executing S25; s23, judging whether the new carbon ball coincides with other carbon balls or not, if yes, executing S24, and if not, returning to S21; s24, judging whether the contact ratio of the new carbon ball and other carbon balls is not greater than a predefined allowable maximum contact ratio value among the carbon balls, if so, executing S25, and if not, returning to S21; s25, confirming the generation of the new carbon spheres, and converting all lattice points in the area occupied by the new carbon spheres into carbon carrier phase lattice points; s26, checking whether the volume fraction of the carbon carrier phase at the moment meets the requirement or not, and if not, repeating S21 to S25; and finally generating a platinum particle phase and an electrolyte phase.

The invention belongs to the technical field of building energy conservation and carbon reduction, discloses a building energy conservation and carbon reduction method, device and equipment and a storage medium, and constructs a high-precision building BIM model. A digital twinborn model of a Xian mansion is constructed by applying a BIM technology, and the model not only depicts the physical structure of the building in detail, but also simulates key operation details such as personnel flow and equipment operation. By strategically simplifying the model, it is ensured that the model is efficient and accurate. The comparative analysis of the corrected model and actually measured data shows that the prediction error of the model is only 0.10%, the extremely high consistency of the prediction result and the actual situation is highlighted, the high accuracy of model correction is verified, and the high standard requirement of in-depth research is met; according to the invention, balance optimization of carbon emission minimization and comfort maximization is realized. By intelligently adjusting the operation strategy of the air conditioning equipment, the method obviously reduces the carbon emission of the building while ensuring the living comfort.

The invention provides a cable bridge fault positioning method and system based on multi-layer sensing data fusion, and relates to the technical field of data processing. Fault monitoring feature compensation is carried out by analyzing fault features of a cable bridge and establishing a fault evaluation list, and a multi-layer sensor network is constructed; a digital twin space is constructed according to a physical structure and operation data of a cable bridge, and a multi-layer sensing configuration module is established based on a multi-layer sensor network and is embedded into the digital twin space; and according to sensing configuration parameters of the multi-layer sensing configuration module, fault identification and positioning are carried out through a digital twin space. The technical problems of low fault identification precision and large positioning error caused by monitoring blind areas and data loss in cable bridge fault monitoring in the prior art are solved, and the technical effects of improving the fault positioning accuracy and reliability and enhancing the fault monitoring comprehensiveness and real-time performance are achieved.

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.

The invention provides a visual detection method based on fabric physical structure simulation. The visual detection method based on fabric physical structure simulation comprises the following steps: a, fabric physical modeling: establishing a physical structure model of a fabric, wherein the physical structure model is woven structure characteristics, warp and weft material characteristics and warp and weft arrangement modes; b, light source automatic calibration: detecting the angle and the intensity of a light source in real time by using a sensor; the irradiation angle and brightness of the light source are dynamically adjusted through the calibration model so as to eliminate the influence of the light source change on the detection. According to the visual detection method based on the fabric physical structure simulation, the influence of the light angle and intensity change on the detection precision in the prior art is innovatively solved. Through multi-angle light source control and an illumination compensation algorithm, the angle and the intensity of the light source are detected and calibrated in real time by using a sensor, so that the surface of the fabric can present consistent detection effects under different illumination conditions.

Methods, systems, and apparatus, including medium-encoded computer program products, for computer aided design of physical structures include: obtaining a design space, design criteria, and boundary conditions for numerical simulation; defining an application of the boundary conditions to a voxelized mesh, including specifying a distribution of a load to nodes of voxels in the voxelized mesh that correspond to a surface of preserve geometry; and iteratively modifying a generatively designed three dimensional shape in the design space in accordance with the design criteria and a physical response of the modeled object determined by the numerical simulation performed using the application of the boundary conditions to the voxelized mesh, wherein the distribution of the total loading value during determination of the physical response ensures an equivalence between the total loading value and a sum of loading values distributed to the respective nodes of the voxels that correspond to the surface.

The invention discloses a cross-domain structural damage identification method based on digital twinning and time-space feature fusion, belongs to the technical field of structural health monitoring, and provides a cross-domain transfer learning damage identification technical scheme fusing a digital twinning model and structural multi-sensor data time-space features. A measurement point connection relation of a digital twinborn model and an actual physical structure is abstracted into a graph structure, and a spatial-temporal feature learning model for simultaneously processing multi-sensor time domain data and spatial feature information is designed based on classic time domain convolution and graph convolution network. A specific model architecture is provided for deep fusion of a structural digital twin model and spatial-temporal features of multi-sensor data of an actual structure to realize structural damage detection in a cross-data-domain scene, so that the problems of insufficient actual damage data, insufficient fusion of structural multi-dimensional feature data and the like are solved.

A method and system of providing guidance and information to an end-user during an emergency situation. A network of beacon devices is arranged throughout different rooms of a physical structure, such as a house. When an emergency situation such as a fire is detected, for example via data collected from one or more smart sensors installed in the house, a navigation server can activate the beacon device network. Each beacon device will begin to provide navigation cues such as audio content and / or light display that guide the end-user to the nearest designated exit.

The invention discloses an electromagnetic micromirror output feedback tracking control method and device based on adaptive Q learning, and the method comprises the steps: constructing an electromagnetic micromirror model based on a physical structure of an electromagnetic micromirror; combining the electromagnetic micro-mirror model with a reference trajectory to construct an augmentation system so as to convert a trajectory tracking problem into a state adjustment problem; based on the augmented system, designing a Q function Bellman equation to establish a data-driven performance evaluation framework; based on the augmented system, the state of the augmented system is reconstructed through historical input and output data, so that angular velocity measurement is avoided; obtaining an optimal control input and a new Q function Bellman equation based on the reconstructed augmented system state and the Q function Bellman equation; and based on the optimal control input and the new Q function Bellman equation, solving a control problem by using an adaptive Q learning algorithm. The method breaks through the limitation that a traditional model depends on a control method, and achieves optimal tracking control only through historical input and output data.

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 relates to a performance simulation optimization method and system for a high-speed connector, and the method comprises the following steps: carrying out the grid processing of a physical structure of the high-speed connector, and obtaining a three-dimensional structure discrete grid model; based on the three-dimensional structure discrete grid model and a time domain finite element, electromagnetic field distribution of the high-speed connector is solved, and a multi-order electromagnetic field distribution matrix is obtained; based on the multi-order electromagnetic field distribution matrix, performing spectral analysis on the output signal of the high-speed connector to obtain a performance score of the connector and a performance analysis report of the connector; when the performance score is lower than a preset performance threshold value, analyzing a key performance influence factor set of the high-speed connector based on a performance analysis report; and the high-speed connector is simulated and optimized based on the key performance influence factor set, so that the performance score of the high-speed connector is higher than a preset performance threshold, and the problem that the electromagnetic property of the high-speed connector and the influence of the electromagnetic property on the signal integrity are difficult to accurately predict by a traditional method is solved.