74 results about "Virtual mirror" patented technology

The invention relates to the technical field of virtual reality, in particular to a virtual reality-based smart travel big data supervision platform, which comprises a data acquisition layer for acquiring multi-source data, a data processing layer for preprocessing the multi-source data to form a data packet, and a data transmission layer for transmitting the data packet, acquiring a data packet and constructing a virtual reality layer of the three-dimensional virtual mirror image space; and the supervision application layer is used for supervising the three-dimensional virtual mirror image space, and respectively issuing a priority transmission instruction of data at the problem to the data transmission layer and issuing a real-time reconstruction instruction of a three-dimensional scene at the problem to the virtual reality layer when the problem is monitored. According to the invention, in the data transmission layer, the redundant data shell of the protection data packet is dynamically adjusted according to the network quality, the temporary dedicated channel is constructed based on the SDN, and the data of the problem area directly reaches the virtual reality layer, so that the high-fidelity restoration and supervision of the virtual scene in the weak network environment are realized.

The invention provides a multi-Agent-based workshop management system and a cross-workshop migration method and system. The multi-Agent-based workshop management system comprises a sensing layer, an intelligent layer, an execution layer and a communication layer, a data acquisition module of the sensing layer is used for acquiring sensing data in a physical scene, and a sensing Agent of the sensing layer generates a corresponding virtual mirror image platform according to the sensing data and outputs an analysis result; the intelligent layer comprises a decision-making Agent and a coordination Agent, the decision-making Agent dynamically generates a global or local decision-making result according to an analysis result, and the coordination Agent monitors and evaluates the decision-making result through a preset mechanism and outputs an optimization strategy; the intelligent layer transmits the decision result and the optimization strategy to the execution layer; an execution Agent of the execution layer deploys a lightweight model through an edge calculation module, and analyzes a decision result and an optimization strategy into an equipment control signal to control equipment operation; and the communication layer provides an information interaction channel for the Agent of each layer. The limitation of a traditional layered architecture is broken through, and a self-organized, self-adaptive and self-optimized distributed intelligent ecological architecture is constructed.

The invention discloses a transformer substation abnormity intelligent diagnosis method based on a self-attention mechanism, and relates to the technical field of transformer substation abnormity identification, and the method comprises the following steps: S2, employing a computer vision technology, a sensor, an ultrasonic detector, and a current and voltage detector to collect the electrical parameters of equipment, and completing the collection of multi-source data; s3, realizing a virtual mirror image of the physical equipment by using a digital twinning technology; and S5, analyzing and processing the important information in the database through a self-attention mechanism, and predicting the health trend, risk point and service life of the substation equipment. According to the method, image information and equipment parameters of substation equipment are collected in real time, an attention weight matrix of data is obtained through calculation, multi-source data are associated, the fault probability is output, then a regression device is used, key parameter values of multiple time points in the future and the remaining service life are output, and the service life of the substation equipment is calculated. And predicting the health trend, the risk point and the service life of the substation equipment.

The invention relates to the technical field of agent training, and discloses an agent training system based on a mirror image. The system comprises a training environment mirror image module, a behavior feature reconstruction module and a training decision model module. The training environment mirror image module constructs a virtual mirror image environment which is completely synchronous with a real physical environment, covers an environment state parameter set, an agent interaction record sequence and a performance index time sequence, and can reproduce a real environment complex dynamic scene. And the behavior feature reconstruction module performs three-dimensional behavior trajectory analysis on the agent interaction record sequence, generates a behavior feature tensor containing a decision response delay gradient, an action space coverage degree and a cooperation intention fluctuation coefficient, and realizes multi-dimensional behavior analysis. And the training decision model module calls a pre-training agent evolution model, performs strategy space mapping on the behavior feature tensor, generates an optimization strategy parameter set and a behavior defect area identifier, and assists the agent to efficiently play a role in a real scene.

The invention belongs to the technical field of civil engineering technical construction, and particularly relates to a quantitative prediction method for engineering slurry and muck recycling output, which comprises the following steps: S1, synchronizing a construction scene in real time through BIM / GIS and Internet of Things data, and generating a virtual mirror image of a slurry / muck generation process; s2, correcting a theoretical model error according to real-time monitoring data; s3, predicting the mud / muck yield and the resource rate by adopting a time sequence analysis method and combining with a machine learning algorithm, and quantifying uncertainty; s4, dynamically optimizing model parameters through error feedback, and realizing a prediction-monitoring-correction closed loop; through cooperation of the structures, exclusive correction rules are formulated for different construction types, theoretical model errors can be corrected in time according to stratum changes and construction disturbance, and the adaptability of the model under different working conditions and the reliability of prediction results are improved.

The invention provides an archive management model based on digital twinning, and relates to the technical field of archive management. The archive management model based on digital twinning comprises a physical layer, the physical layer is connected with a data layer, the data layer is connected with a digital twinning layer, and the digital twinning layer is connected with an intelligent control layer. According to the technology, an archive management model is constructed by utilizing digital twinning, a virtual mirror image of an entity storehouse is created through a building information model and an internet of things data stream, millimeter-level precision three-dimensional modeling is realized, archive management is more accurate and intuitive, a weight sensor can monitor the weight of the archive in real time, the deviation can be compared during returning, mistakes and omissions are avoided, and the integrity of the archive is guaranteed; the intelligent control layer generates a three-dimensional navigation path, combines a virtual reality terminal, simplifies the archive searching and returning process, reduces manual errors, tracks an administrator and identifies archives in real time through an ultra wide band positioning module and a radio frequency identification reader-writer, optimizes borrowing and returning efficiency, achieves intelligent management of an archive repository, reduces cost and improves efficiency.

The invention discloses a smart city monitoring and simulation deduction method based on a digital twinborn model, and belongs to the field of electric digital data processing.The smart city monitoring and simulation deduction method based on the digital twinborn model comprises the following steps that dynamic data are continuously accessed, static data are obtained at the same time, a digital twinborn body with a timestamp is constructed, and the digital twinborn body is constructed; forming a virtual mirror image of the physical state of the city; on the basis of real-time indexes in a digital twinborn body, hydrological model parameters are corrected in real time, the short-term rainfall prediction precision is improved by fusing an LSTM model, and a twinborn driving model matched with the current reality is generated; compared with the prior art, the method has the advantages that dynamic data and static data of a city are collected in real time, a digital twinborn model for analyzing city drainage is constructed, the ponding risk level can be rapidly evaluated, differentiated emergency plans are automatically generated according to different risk levels, and the method has the advantages of being high in prediction precision and high in response speed.

The invention relates to a cascade reservoir flood control capacity collaborative optimization method and system based on a dynamic game, and belongs to the technical field of hydropower station group flood control regulation and storage. Comprising the following steps: collecting a historical water level sequence, upstream flood discharge flow, drainage basin rainfall confluence data, radar flow measurement data, dam body stress indexes and dynamic correlation parameters of a cascade reservoir group, inputting the collected data into a space-time risk field model, and constructing a space-time risk field; constructing a game model based on the space-time risk field, taking an upstream reservoir as a leader to formulate a reservoir capacity allocation strategy, taking a downstream reservoir as a follower to dynamically adjust a flood discharge scheme according to the leader strategy, and coordinating a flood control target and an economic target through a time-varying game weight; solving the game model by adopting an improved distributed ADMM optimization algorithm to generate a scheduling instruction, and verifying the legality of the scheduling instruction through a block chain smart contract; and pre-executing the scheduling instruction in the digital twin simulation platform, dynamically calibrating the mapping parameters of the physical reservoir and the virtual mirror image through reinforcement learning, generating a final scheduling instruction, and issuing and executing the scheduling instruction.

The invention relates to the technical field of intelligent exhibition hall control, and discloses an intelligent exhibition hall control system based on the Internet of Things. The system synchronizes the operation state of a physical exhibition hall through a digital twin model, and performs operation situation slicing and feature extraction on a virtual mirror image to obtain a situation feature vector. And constructing an exhibition hall operation situation evolution graph based on historical data, mapping the real-time feature vectors to graph nodes, and performing multi-hop state deduction along the edges, thereby generating a future situation prediction path and identifying potential abnormal nodes. And finally, simulation regulation and control are performed in the digital twinborn model according to a deduction result, and a preventive regulation and control instruction is generated. According to the scheme, a closed loop from real-time state sensing to future evolution prediction and active regulation and control is realized, and the predictability and management and control perspectiveness of the operation risk of the complex exhibition hall are improved.

An imaging system having multiple imaging devices arranged in succession in the direction of an optical axis, including a first imaging device for generating a real intermediate image of an object on an intermediate image plane, a second imaging device for generating a virtual mirror image of the real intermediate image, the mirror image being laterally offset to the real intermediate image on the intermediate plane, and a third imaging device for imaging the real intermediate image and the virtual mirror image together as a real image on an image receiver surface to be arranged at an axial distance to the intermediate image plane. The imaging system has an optical filtering device for filtering the imaging of the real intermediate image and / or at least one of the virtual mirror images separately from each other. The imaging system includes the image receiver surface and a device for processing a real image captured by the image receiver surface. The processing device uses the image to determine positions in the direction of the optical axis of object region points, which are imaged by at least individual pixels of the pixels of the image.

The invention belongs to the technical field of wind power blade damage early warning, and discloses a wind power blade structure fault damage early warning system which comprises a data sensing module, a damage simulation module, a damage modeling module, a crack tracking module and a risk decision module. The data sensing module is used for constructing a multi-dimensional sensing network covering the overall situation and the local situation of the blade and is responsible for capturing all-dimensional information data of the blade from overall situation response to local slight change; the data sensing module comprises an actual load acquisition unit, a local damage sensing unit and an environment acquisition unit; and the damage simulation module can construct a virtual mirror image completely corresponding to the wind power blade based on the omnibearing information data. The method is not limited to single blade vibration signal spectrum analysis through the global and local multi-dimensional sensing network of the blade, the subsequent early warning accuracy is replaced, and meanwhile, the progressive damage process of the wind power blade in matrix cracking, fiber fracture and interlayer stripping can be accurately simulated.

The application discloses an in-game shooting parameter regulation method, an in-game shooting parameter regulation device, a computer readable storage medium, a computer device and a computer program product. The in-game shooting parameter regulation method provides a graphical user interface through a terminal, and the graphical user interface is used for displaying a game picture. The regulation method comprises the following steps: receiving a user instruction, wherein the user instruction is used for instructing to adjust a shooting parameter of the game picture; in response to the user instruction, generating an adjustment scheme of the shooting parameter through a preset parameter adjustment model, wherein the adjustment scheme of the shooting parameter comprises at least one of a virtual lens parameter, a light parameter, an environmental effect parameter and a character action parameter; and adjusting corresponding parameters of the game picture displayed in the graphical user interface according to the adjustment scheme of the shooting parameter, so as to present a picture after parameter adjustment.

The application discloses an indoor parking lot vehicle positioning and reverse vehicle searching method based on visual semantic analysis, which comprises the following steps: dividing an image into a real physical surface and a mirror virtual image area, and calculating a ground reflection reference surface; establishing a virtual mirror camera symmetrical to the real main camera based on the reference surface, repairing the mirror virtual image feature to the effective observation of the virtual camera; introducing a symmetrical virtual observation factor in pose optimization, jointly optimizing the re-projection error of the real main camera and the virtual camera, converting the mirror interference into a geometric constraint for enhancing positioning, so as to solve the continuous vehicle pose, significantly improve the positioning accuracy and robustness in the mirror reflection scene such as the indoor parking lot, and realize reliable reverse vehicle searching application.

The invention provides an intelligent process design and verification integrated platform and method for ring forgings, and is applied to the technical field of intelligent automatic manufacturing. Comprising the following steps that: a process management layer constructs a dynamic mapping model of each processing procedure according to equipment operation program parameters corresponding to mechanical equipment used in each processing procedure and numerical simulation parameters during simulation of each processing procedure by taking a processing mechanism model of each processing procedure in a process route for forming the ring forging as a reference; the big data analysis layer establishes a data flow association rule by adopting a station task algorithm according to a production line virtual mirror image of the process route, and then determines a current processing procedure from a plurality of processing procedures and inputs actual execution data and a real-time related state of the current processing procedure into a target dynamic mapping model of the current processing procedure; current equipment operation program parameters are obtained, numerical simulation is carried out on the current machining procedure, and a numerical simulation prediction result is generated. The design and verification of the whole forming process of the ring forge piece in different machining procedures can be achieved.

This invention discloses a cloud-based sorting management system based on intelligent weighing, belonging to the field of computer application technology. The system includes a data acquisition module, a process data association and integration module, a cloud-based centralized management and control module, a virtual modeling module, a collaborative pre-simulation optimization module, a sorting execution control module, a data closed-loop feedback module, and an anomaly early warning and emergency handling module. This invention constructs a multi-module integrated cloud-based sorting management system that integrates quantum sensing data acquisition, virtual image modeling, collaborative pre-simulation optimization, and data closed-loop feedback. It achieves virtual-real collaborative management and dynamic optimization of the entire product sorting chain. Compared with existing technologies, it can improve the accuracy of the sorting process and the adaptability of the entire chain. Therefore, it can solve the problems of low sorting efficiency and difficulty in controlling errors caused by the single data acquisition dimension, lack of virtual simulation pre-simulation mechanism, and insufficient coordination among various links in traditional sorting systems.

The application relates to a test environment building method and device, computer equipment and a storage medium. The method comprises the following steps: receiving a test environment allocation request of a client, wherein the test environment allocation request comprises a virtual image identifier; in response to the test environment allocation request, determining target virtual image information corresponding to the virtual image identifier from an image database; and finally, sending the target virtual image information to the client, so that the client builds a test environment based on the target virtual image information. The method can be used to build a test environment using a virtual image prepared in advance when a user needs to build a test environment, thereby reducing the time required by the user to build the test environment and lowering the test cost. Meanwhile, the prepared virtual image is stored in the image database and cannot be destroyed, so that the virtual image can be reused, thereby greatly facilitating the management of the test environment.

A computer-implemented method is provided for generating, based on a first digital image associated with a first viewpoint, a virtual mirror image according to a perspective view associated with a second viewpoint. The method comprises determining a bisector plane of the first viewpoint and the second viewpoint. The method further comprises computing the virtual mirror image based on a projection of the first digital image onto the bisector plane.

The invention discloses a power grid early warning and decision-making system based on digital twinning and big data, and belongs to the technical field of power grid digitization. The system comprises a digital twin three-dimensional technology platform for constructing a virtual mirror image, a power grid line visualization module for realizing asset transparent monitoring, a management and control and intelligent early warning module for generating early warning information, a big data intelligent engine module for driving an intelligent decision and service closed loop according to the early warning information, and a system management module for providing unified operation and maintenance support, through fusion of digital twinning and big data, the power supply reliability, the user service level and the asset management efficiency are effectively improved.

Embodiments of the present application disclose a virtual lens control method and device, a storage medium and a computer device. The method comprises: displaying a graphical user interface, the graphical user interface comprising at least part of a virtual scene and a virtual character in the virtual scene, the graphical user interface being an interface displayed by a virtual lens associated with the virtual character to capture the virtual scene and the virtual character; obtaining a current capturing direction of the virtual lens when the virtual character shoots each time; assigning a rotating direction, an initial rotating speed of rotating towards the rotating direction and a rotating acceleration of rotating towards the current capturing direction to the virtual lens; controlling the virtual lens to rotate towards the rotating direction based on the rotating direction, the initial rotating speed and the rotating acceleration; and when the virtual lens no longer rotates towards the rotating direction, controlling the virtual lens to rotate towards the current capturing direction until the capturing direction of the virtual lens is the current capturing direction.

The invention provides a lens parameter calibration method, electronic equipment and a storage medium, and the method comprises the steps: defining a lens parameter of a virtual lens in a scanning system, and defining an imaging system corresponding to the virtual lens, the imaging system being used for simulating the propagation and convergence of light through the virtual lens to generate a simulation image; scanning a measured object by using the scanning system, and generating scanning data corresponding to the measured object through the imaging system; based on the reference data corresponding to the measured object, determining a reconstruction error corresponding to the scanning data; and updating the lens parameter based on the reconstruction error until the reconstruction error meets a preset requirement, and completing calibration of the lens parameter. The method can improve the calibration efficiency of the lens parameters.

The invention relates to the technical field of intelligent traffic and industrial internet crossing, in particular to a port and navigation global multi-mode perception and digital twinborn collaborative decision-making system and method. The system sequentially comprises a multi-mode perception fusion layer, a digital twin modeling and deduction layer, an intelligent collaborative decision-making layer and a safety collaborative control layer. The multi-modal sensing fusion layer is used for collecting multi-source data through heterogeneous sensing nodes deployed in the sky, the ground and the water and executing space-time registration and feature level fusion; the digital twin modeling and deduction layer is used for constructing a high-fidelity virtual mirror image integrated with a safe evolution model and realizing super real-time risk deduction; the intelligent collaborative decision-making layer adopts a peacetime and wartime combined mechanism, executes multi-objective optimization of embedded security constraints in a conventional mode, and generates a collaborative processing scheme based on multi-agent reinforcement learning in an emergency mode; and the security cooperative control layer is used for security packaging, dual-channel issuing and closed-loop feedback of instructions. According to the method, normal form conversion from post-event emergency to pre-event early warning and in-event cooperation is realized, and the safety and operation efficiency of the port and navigation system are remarkably improved.

The invention discloses an achievement transformation full life cycle management system based on multi-dimensional data fusion, and relates to the technical field of achievement transformation management, and the system comprises the following components: a data processing module, a twin modeling module, a simulation optimization module, an interaction decision module and a full flow management and control module. Through a multi-dimensional data fusion technology, achievement conversion full-life-cycle management from research and development to iteration is achieved, the system comprehensively collects multi-dimensional data of research and development equipment, a production process, market feedback, policy orientation and the like by utilizing multi-source access modes of an Internet of Things sensor, an API interface, database synchronization and the like, preprocessing is conducted through an edge computing technology, and the data fusion efficiency is improved. In combination with an improved knowledge graph correlation analysis algorithm, the system can accurately mine internal correlation between data and provide high-value data support for achievement transformation, in addition, a twin modeling module constructs a full-process virtual mirror image, and real-time mapping from physical data to a virtual space is achieved.

A method and a system for displaying a virtual mirror image (20) of a person (4) in a makeup mirror are described. At least one image of the face (2) of the person (2), in particular the person using the mobile device (1), is captured using a front camera (8). A three-dimensional mesh model (10) of the face (2) is created based on this at least one image, and the three-dimensional mesh model (10) is rotated depending on direct or indirect input from the person (4) on the mobile device (1). Furthermore, a representation of the face (2) is created based on the mesh model (10) rotated according to the input and displayed on a screen (6) of the mobile device (1).

The application discloses a kind of digital control systems of food salt scale production process, comprising: multi-dimensional crude brine perception unit, for real-time acquisition of crude brine flow, calcium / magnesium ion activity, conductivity and temperature;Digital twin modeling unit, based on ion strength correction chemical kinetics model constructs virtual mirror, real-time prediction of residual impurity concentration;Medicine dosing pre-control unit, according to prediction value and target component, using feedforward algorithm to solve caustic soda and soda ash dosing flow;Dynamic feedback correction unit, compare actual quality with prediction value, correct control parameters through gradient descent online learning, form closed-loop self-optimizing control.The application effectively improves the response speed and control accuracy of crude brine refining, reduces reagent consumption, ensures product quality stability, and provides an efficient, reliable and intelligent control solution for food salt production.

The invention discloses a simplified calculation method for shield tunnel transverse response caused by side foundation pit excavation. The simplified calculation method comprises the steps that design parameters and stratum condition information of a foundation pit and a tunnel are determined; the method comprises the following steps: simulating the horizontal deformation of an enclosure structure by utilizing a small-hole non-uniform convergence mode, and calculating the additional stress of a free soil body on the side of a foundation pit caused by deformation through a three-dimensional virtual mirror image technology; based on the additional stress, the main stress rotation direction and rotation angle of the soil body on the side of the foundation pit are calculated, and the distribution form of the stratum additional load in the transverse direction of the shield tunnel is determined; establishing a shield tunnel transverse deformation spring numerical model, and determining a spring coefficient according to design parameters of the tunnel and stratum condition information; the method comprises the following steps: correcting a transverse stratum additional load of a shield tunnel, obtaining an additional external load borne by a transverse lining of the shield tunnel, importing data of the additional load borne by the transverse lining of the tunnel, and calculating transverse deformation and internal force of the shield tunnel caused by excavation of a side foundation pit based on a transverse deformation spring numerical model. The method has the advantages that the transverse deformation rule of the shield tunnel caused by excavation of the side foundation pit is reflected, the calculation precision is high, and tunnel deformation is evaluated more accurately.

This invention relates to the use of automotive virtual mirrors. A system, method, and computer-readable medium may include techniques for optimal use of automotive virtual mirrors. A gaze detector monitors the driver's eyes to determine whether the driver is looking in the direction of the virtual mirror. If the driver is not looking in the direction of the virtual mirror, all virtual mirrors are placed in a low operating mode. If the driver is looking in the direction of one of the virtual mirrors, the virtual mirror being viewed is placed in a high operating mode and all other virtual mirrors are placed in a low operating mode.

The invention discloses a green factory energy efficiency dynamic regulation and control model, and relates to the technical field of factory energy efficiency dynamic regulation and control, and the model comprises the following steps: S1, sensor layout and data collection; s2, production line scheduling; s3, energy efficiency analysis; and S4, safety regulation and control. According to the green factory energy efficiency dynamic regulation and control model, a virtual mirror image of a physical system is established through an AI large model intelligent algorithm in combination with equipment operation power consumption data, factory temperature and humidity data and productivity order data collected by a sensor, and the model is used for achieving all-around simulation and monitoring of the production process; the AI large-model intelligent algorithm can automatically generate an optimal control strategy on the basis of considering actual operation conditions, and is provided with a feedback mechanism to detect multiple detection work such as production safety, process safety and equipment safety by taking an optimal scheduling plan of production line scheduling as a reference, so that the detection efficiency is improved. The response speed, the adaptive capacity and the safety production of the system can be improved, and the energy utilization efficiency and the environmental performance can be remarkably improved.

The invention discloses an OTA upgrading method, equipment and device for an application program and a medium, and relates to the technical field of vehicles. A part of the disk partitions in the whole disk partitions adopt the IMG upgrading mode, and compared with the mode that all the disk partitions adopt the IMG upgrading mode, the overall quantity of upgrading packages is reduced. And the other part of disk partitions adopt a file upgrading mode, so that multiple versions of redundant files are totally reduced, and the disk space is saved. And according to the partition address information of the second disk partition, constructing a virtual mirror image environment corresponding to the file upgrading mode, so that the mirror image environment under the file upgrading mode is the same as the mirror image environment under the IMG upgrading mode, and collaborative upgrading of different upgrading modes is realized. The stored application program is upgraded according to the upgrading modes of the first disk partition and the second disk partition, so that OTA upgrading is completed, the advantages and disadvantages of the two upgrading modes are considered, upgrading balance is achieved, it is guaranteed that the occupied disk space is small, and meanwhile the upgrading speed is increased.

The embodiment of the invention provides an event processing method based on digital twinning, a medium and equipment, and the method comprises the steps: selectively calling a decision model to generate a decision scheme or generating a processing instruction based on a fixed execution rule for different events through the precise matching of a preset workflow template and an event type, and achieving the high adaptability; the processing instruction is synchronized to the digital twin system in real time while the processing instruction is synchronized to the terminal equipment, so that the digital twin system can accurately simulate the physical state and the instruction execution process of the terminal equipment, real-time linkage of physical equipment action and virtual mirror image synchronization is achieved, and the problem that event processing and virtual simulation are disjointed in the digital twin technology is solved; through the template matching and double-path processing mode, when the event type is newly added, only the corresponding workflow template needs to be supplemented or the decision model needs to be optimized, so that the iteration cost and the maintenance difficulty are reduced, and the reliability is high.

This invention discloses a magnetic field adjustment device for testing electromagnetic shielding chambers, belonging to the technical field of magnetic field adjustment devices. It includes a support frame, on which a programmable electromagnetic wall and a magnetic field generating component are mounted. An acoustic recognition component is located at the end of the magnetic field generating component furthest from the programmable electromagnetic wall. Through the combined use of the resonant cavity and the acoustic recognition component, this invention can automatically identify the coil model and load a matching compensation coding matrix, achieving synergy between physical hardware and electromagnetic control. By establishing a functional relationship between the resonant frequency and temperature, it can dynamically compensate for magnetic field drift caused by coil heating, achieving adaptive stability of the magnetic field output. By dynamically adjusting the phase of the radiating surface layer through the programmable electromagnetic wall, the equivalent center of the virtual mirror field moves with the target receiver, enabling the virtual mirror field to move with the receiver, thus simulating a dynamic wireless charging scenario.