397 results about "Real time visualization" patented technology

A real-time system for the multimodal generation of virtual reality scenes based on artificial intelligence for the creation of immersive three-dimensional environments from natural language narratives, consisting of: a speech capture module configured to continuously record a user's spoken narrative via one or more directional microphones, preprocesses the captured signal by noise reduction and temporal alignment, and outputs a digital speech stream; A speech-to-text processing unit that is operationally coupled to the speech capture module and configured for real-time speech recognition using a continuous neural transformer model. The unit is trained to transcribe natural language utterances into structured text data while maintaining contextual continuity throughout the evolving narrative. a semantic interpretation processing unit that is communicatively linked to the speech recognition unit and configured to perform natural language understanding techniques to extract contextual entities, spatial references, temporal relationships, and object attributes from the transcribed narrative; the engine includes a large language model that is fine-tuned for spatial reasoning tasks; a scene graph generation module configured to transform the interpreted semantic data into a structured, hierarchical representation that defines nodes for identified entities and edges for corresponding relationships, with each node associated with metadata describing geometry, position, orientation, texture, and linking attributes between objects; a multimodal image-language model processor coupled with the scene graph generation module, wherein the processor is configured to retrieve, adapt, or synthesize appropriate three-dimensional elements from a pre-trained visual-lexical embedding space and align these elements with their semantic and spatial definitions derived from the scene graph; a scene assembly and rendering controller configured to create a cohesive virtual scene from the aligned assets, perform real-time rendering using a GPU-accelerated ray tracing pipeline, and produce a stereoscopic visual output that corresponds to the evolving narrative; A head-mounted virtual reality visualization device connected to the rendering engine and configured to display the generated immersive environment to the user in real time. The device features motion sensors and inside-out tracking cameras to detect head and body movements, dynamically updating viewing angles and perspective within the rendered scene; and a bidirectional feedback module integrated into the head-mounted device and connected to the semantic interpretation processing unit; the module is configured to interpret corrective commands, gestures, or supplementary comments from the user to refine or modify specific scene elements without interrupting the real-time visualization; The system continuously updates the virtual scene as the narrative develops, ensuring temporal synchronization between speech input and rendered output below a defined latency threshold, thus enabling a natural, dialogic construction of complex three-dimensional virtual environments.

The invention relates to the field of real-time visualization of road conditions, in particular to a data simulation visualization rendering method and system for urban traffic road conditions. The method comprises the following steps: extracting a real-time satellite streetscape image based on urban satellite remote sensing scanning, and performing scene pixel-level segmentation to obtain scene texture rendering parameters; scene illumination visual identification is carried out according to the real-time satellite streetscape image, traffic scene background modeling is carried out based on scene texture rendering parameters, and a real-time scene background model is constructed; the method comprises the following steps: acquiring urban-level multi-source traffic monitoring data flow, performing vehicle state sensing, and constructing a multi-dimensional particle feature matrix; road network topological correlation analysis and global traffic network state perception are carried out according to the real-time satellite streetscape images, and a road network state perception model is constructed. According to the invention, a real real-time traffic environment is visualized, scene effects in different traffic states are presented, the current road condition can be rapidly evaluated, and the traffic control decision efficiency is improved.

A device for time-based tracking and cost optimization in construction projects, the device comprising the following: a robust housing suitable for use on construction sites; a processing unit located inside the housing, configured to perform real-time time-stamping, data acquisition and preprocessing tasks; a multimodal sensor unit that is operationally coupled with the processing unit, wherein the sensor unit comprises at least a motion sensor, an RFID reader, sensors for environmental conditions and a vision module with optical character recognition; a real-time clock module that is operationally connected to the processing unit to provide time synchronization for all sensor data streams; a wireless communication module that supports the Wi-Fi, LoRa and LTE protocols and is configured for transmitting time-stamped data to a central project server; a storage module that is operationally coupled with the processing unit to locally buffer time series data of construction activity during offline operation; a housing-mounted, touchscreen-based human-machine interface configured to allow site personnel to enter activity updates and confirm the status of construction tasks; a cost optimization engine running on the central server, the engine being configured to receive time-synchronized sensor data from multiple such devices and dynamically calculate time-cost trade-offs using a predictive planning technique that incorporates the principles of the critical path and the power value; furthermore, the device is configured to be integrated into a digital twin environment of the building under construction in order to provide real-time visualization of progress and to generate suggestions for resource reallocation based on a time-cost-benefit analysis.

The invention discloses a large-span truss hoisting and splitting system and method based on digital twinning, and belongs to the technical field of building construction, and the system comprises a physical entity unit, a data acquisition and transmission unit, a digital twinning model unit, a function service and data analysis unit and an application and interaction unit. According to the invention, through real-time sensing of a physical entity state, multi-source data fusion transmission, high-precision digital twinning modeling, intelligent simulation analysis and decision optimization, and fusion of multi-modal man-machine interaction, a virtual control system which is in whole-course synchronous mapping and bidirectional interaction with a physical entity is constructed; according to the method, real-time visual monitoring, trend prediction and risk early warning of the hoisting and splitting process can be achieved, scheme preview and dynamic optimization are supported, virtual-real fusion operation guidance is achieved through the AR technology, and the safety, precision and efficiency of hoisting and splitting operation of the large-span truss are improved.

The invention relates to the technical field of data processing, and discloses a micro-front-end real-time visualization automatic rendering method and system, and the method comprises the steps: obtaining a data stream, carrying out the windowing processing, abnormal value elimination and feature extraction of the data stream, and generating a standardized data block; sending the standardized data block into a containerized model service for reasoning to obtain a reasoning result; determining a target visual component based on the reasoning result; packaging the meta-information of the target visual component into a standardized instruction, and pushing the standardized instruction to a front end for rendering to obtain a first rendering result; and capturing an interaction event of a user on the target visual component, and refreshing the first rendering result based on the interaction event to obtain a second rendering result. According to the method, the problems that a traditional scheme has the defects of poor expansibility, lack of automation capability and lack of a component hot plug mechanism, so that components cannot be matched according to data characteristics or model types, and different visual components cannot be flexibly replaced or updated are solved.

The invention discloses a foundation settlement early warning method and system based on an intelligent algorithm, and relates to the technical field of settlement early warning. During operation of the system, through combined use of various sensors, foundation settlement related data from multiple sources are collected and processed and fused in real time, foundation settlement is predicted through the intelligent algorithm, and the early warning effect is achieved. The settlement risk of different areas is evaluated by combining a space-time big data analysis technology, a settlement risk index GSI is calculated, an early warning grade is output, early warning decision making is carried out according to a prediction result and a set dynamic threshold value, the severity of the settlement risk is judged and classified, a system automatically generates an early warning report, and once early warning is triggered, the early warning is automatically carried out. The system automatically starts an emergency response scheme, dynamically adjusts reinforcement and intervention strategies according to the actual change of foundation settlement, provides a real-time visual interface of settlement data and early warning information, and displays the settlement state, the early warning level and historical data.

The invention provides an underground structure boundary identification method and system based on distributed optical fiber sensing, and relates to the technical field of underground structure detection and boundary identification. The method comprises the following steps: firstly, arranging a sensing array in a to-be-detected area, establishing a channel corresponding to a space coordinate, and collecting a non-excitation base line; medium and noise are estimated through low-energy probe, excitation frequency band, energy and repetition rate are optimized, and the signals are emitted by an adaptive seismic source; reflection and transmission responses are synchronously collected under the unified time reference; performing wavelet denoising, temperature and dispersion compensation and time alignment on the data, and extracting amplitude, phase and frequency characteristics; gradient is calculated on the feature field, non-maximum suppression is carried out, and stable boundary points are obtained by adopting self-adaptive double thresholds based on local statistics and combining time continuity and space connectivity constraints; a two-dimensional section is obtained through spline fitting, a three-dimensional model is reconstructed under the constraint of multi-section consistency, a section map and the three-dimensional model are output, and high-precision, real-time and visual detection of small-size boundaries is achieved.

The invention belongs to the technical field of acupuncture and moxibustion, and discloses a needle body tracking type intelligent acupuncture and moxibustion system which comprises a data collecting and processing module, a needle body positioning module, a 3D model registration and dynamic updating module, a real-time rendering display module and an interaction module. Three-dimensional coordinates, puncture depth and angle information of a needle body are obtained in real time with high precision through a multi-modal composite positioning technology, and real-time visual association of the needle body with key anatomical structures such as bones, blood vessels and nerves in the in-vivo penetrating process is achieved by combining a dynamically-registered 3D anatomical model and the actual body position of a patient. The needle inserting precision and the operation safety are obviously improved; meanwhile, through multi-plane fusion view presentation, a dynamic breathing compensation mechanism and a layered rendering updating strategy, it is ensured that a physician can visually master the real-time space relation between a needle body and surrounding tissue, and important structures are effectively prevented from being accidentally injured; and diversified touch interaction and instant operation feedback are supplemented, so that the operation complexity is greatly reduced.

The invention discloses a transcranial stimulation magnetic therapy coil navigation method, a transcranial stimulation magnetic therapy coil navigation system, a storage medium and equipment. The method comprises the following steps: acquiring three-dimensional structure information of the head of a target object, magnetic resonance imaging (MRI) data of an individual target object, or three-dimensional model data obtained by matching from a general MRI template library; real-time surface geometric information of the head of the target object is collected through an infrared optical tracking system; performing registration fusion on the three-dimensional structure information and the real-time surface geometric information, and generating an individualized three-dimensional brain model synchronized with a real space coordinate system on a navigation interface; the spatial position and posture of the optical marker fixed on the magnetic therapy coil are tracked in real time through an infrared optical tracking system and correspondingly mapped to the individualized three-dimensional brain model, and visual navigation of the magnetic therapy coil relative to the brain anatomical structure is achieved. Through the individualized three-dimensional navigation and real-time visualization technology, the problems that a traditional TMS is low in positioning precision, invisible in operation and poor in treatment repeatability are solved.

The invention discloses a goaf coal spontaneous combustion early warning system and method based on a digital twinning technology, temperature, gas concentration (CO, O2 and the like) and humidity data are collected in real time through a multi-source sensor, a goaf three-dimensional model is constructed in combination with ultrasonic wave and seismic wave exploration, and a spontaneous combustion process is simulated by coupling an Arrhenius equation and a Fick law through COMSOL. And performing Z-Score standardization and machine learning (SVM, random forest) analysis on the data to generate a dynamic thermodynamic diagram early warning risk. The system realizes low-delay transmission through MQTT and 5G, realizes three-dimensional platform real-time visualization, and triggers multi-stage early warning (temperature / CO threshold) and automatic intervention (nitrogen injection and ventilation adjustment). Compared with the prior art, the early warning accuracy is improved by 35%, the response time is shortened to 15 minutes, and the risk of spontaneous combustion accidents is remarkably reduced.

The embodiment of the invention provides a pipeline inner wall spraying simulation control method and device based on digital twinning, and the method comprises the steps: importing a guide rail model and a motion mechanism model into offline programming software, configuring a kinematic pair, and constructing a virtual scene corresponding to an actual pipeline inner wall spraying production line based on a digital twinning technology; importing a pipeline three-dimensional model, configuring workpiece parameters, and calibrating coordinate data; identifying the boundary of a spraying area on the inner wall of the pipeline, and determining the spraying range; an initial spraying track is generated, parameters are adjusted according to boundary conditions, and the track is optimized; configuring spray gun parameters, importing a flange plate and a spray gun model, and completing basic tool configuration; a tool model is imported, tool parameters are configured, spraying parameters are configured based on the sampling data, and a spraying tool is obtained; according to the embodiment of the invention, simulation is carried out based on the virtual scene, the optimized track and the spraying tool; and presenting the simulation effect in a three-dimensional visualization manner in real time. Spraying track optimization, parameter dynamic matching and real-time visualization of the spraying effect are achieved.

The invention discloses a natural resource big data off-line comprehensive analysis, annotation and proof system and method, and belongs to the technical field of natural resource informatization and geographic information processing. The system comprises the following components: a spatial data fusion module, which is used for realizing unified management and efficient processing of heterogeneous spatial data; the spatial index optimization module is used for realizing quick retrieval and high-performance query optimization of spatial data; the intelligent annotation and arrangement module is used for realizing low-code rapid configuration and business process automatic arrangement of different natural resource investigation scenes; the off-line analysis module is used for realizing buffer area analysis, space superposition and terrain analysis in an off-line environment; the real-time visualization module is used for realizing multi-level map display, track recording, vector element editing and multimedia evidence collection; and the data quality management module is used for realizing automatic quality inspection of geometry, topology and attributes and statistical analysis, version control and export management of annotation results.

The invention discloses a multi-machine collaborative three-dimensional map updating method based on mobile augmented reality, and belongs to the technical field of three-dimensional reconstruction, and the method comprises the following steps: carrying out the collection of initial collection data of a plurality of target regions through the wearing of AR glasses by a plurality of people; performing frame extraction on the original video image, and calculating to obtain a data grouping result; a sparse pairing list is generated by adopting a hybrid pairing strategy, and sparse point cloud data is obtained by combining incremental SfM calculation; performing distortion removal processing on the frame extraction image, and obtaining pure dense point cloud data through a multi-view solid geometry algorithm, a clustering algorithm and statistical filtering; a triangular mesh model is generated through Poisson surface reconstruction, and a high-precision three-dimensional model is obtained through Markov random field optimization view selection; and constructing a unified space-time reference conversion matrix to obtain a real-time AR visual navigation and map updating result. By adopting the method, the problems that the three-dimensional map is poor in current situation, virtual and real registration is misplaced, the modeling efficiency is low and the precision is insufficient are solved.

The invention belongs to the technical field of plate curved surface forming, and particularly relates to a thick plate space curved surface forming method based on a multi-point die, which comprises the steps of S1, reduction schedule design, S2, self-adaptive feeding positioning, S3, dynamic die shape adjustment, S4, gradient coarse reduction, S5, gradual fine reduction, S6, online springback monitoring and S7, closed-loop correction. The optimal reduction regulation is generated through joint calculation of finite element simulation and a springback prediction model, real-time visualization of springback three-dimensional distribution is achieved based on a 1kHz high-frequency sampling force-displacement coupling monitoring system, out-of-tolerance springback is automatically corrected through a reverse compensation algorithm, meanwhile, a multi-sensor cooperative monitoring system and a prediction model constructed based on the mechanics theory are used for monitoring the springback three-dimensional distribution, and the real-time visualization of the springback three-dimensional distribution is achieved. Rebound distribution pre-judgment under different curvatures is achieved, and the shape precision stability of batch production is ensured through a closed-loop correction system.

The invention discloses a cement quality dynamic prediction method based on multi-modal fusion. The method comprises the following steps: S1, collecting multi-modal original data; s2, preprocessing the multi-modal original data; s3, performing modal embedding and shared coding processing through an improved PolyViT network, and outputting a multi-modal fusion feature sequence; s4, predicting a cement quality index through an improved LightGBM model, and outputting a quality prediction value sequence; s5, performing quality discrimination on the quality prediction value sequence by adopting an interval discrimination and modal disturbance scoring mode, and outputting a quality anomaly discrimination sequence; s6, carrying out comparative analysis on the quality abnormity discrimination sequence and the current process operation state, and generating a quality control suggestion oriented to ratio adjustment and process parameter optimization; and S7, uploading the quality prediction value sequence, the quality abnormity discrimination sequence and the quality control suggestion to an edge computing platform for real-time visual display. According to the invention, dynamic prediction and abnormal intelligent traceability analysis of the cement quality are realized.

The invention relates to the technical field of radio frequency chip performance testing, and particularly provides a real-time visualization method and visualization system for radio frequency chip performance testing, traditional single-thread sequence control is replaced by a multi-thread asynchronous acquisition architecture, and the testing efficiency is remarkably improved; through adding a timestamp label mechanism to each piece of test data, the cross-device data synchronization precision reaches a microsecond level, and the problem of asynchronous triggering of a radio frequency signal and direct current bias is solved. The radio frequency index data table constructed by automatic association realizes intelligent aggregation analysis of multiple parameters under multiple combinations, and avoids manual matching errors caused by data dispersed storage in a traditional scheme. Based on an automatic threshold setting and real-time judgment function of a test protocol, intelligent switching of judgment standards under a multi-protocol standard is supported, errors caused by manual configuration are reduced, and modification during protocol updating is avoided. And real-time visual rendering enables a user to dynamically observe a multi-parameter association change trend, so that the problem positioning efficiency is improved.

The invention relates to the technical field of robot control, in particular to a robot control method and system for conference investigation based on artificial intelligence. The method comprises the following steps: acquiring audio data and monitoring data of a conference environment; analyzing the monitoring data and the audio data, and determining a speaking state and speaking content; according to the speaking state and the speaking content, determining a speaking distribution thermodynamic diagram; and determining a robot active interaction strategy according to the speaking content and the speaking distribution thermodynamic diagram, and sending the robot active interaction strategy to the robot to enable the robot to execute the active interaction strategy to guide conference discussion. The accuracy and real-time performance of intention understanding are improved, and structured input is provided for thermodynamic diagram generation and interaction strategies. Real-time visualization of conference discussion distribution is realized, the defect that a thermodynamic diagram cannot be automatically generated is eliminated, and the monitoring capability of participating in balance is improved. And a self-adaptive interaction mechanism is realized, delay depending on manual intervention is eliminated, and efficient and accurate proceeding of the conference is ensured.

The invention discloses a finite element dynamic layering visualization method based on digital twinning. The finite element dynamic layering visualization method comprises the steps that a finite element analysis result is obtained; a Mesh grid is generated through fitting according to the geometric data; constructing an index of each vertex in the Mesh grid; storing the numerical data into an image file, and establishing a mapping relationship between a pixel index of the image file and the vertex index; taking the image file as a texture and binding the image file to a Mesh grid; in the vertex shader, sampling and determining numerical data corresponding to the vertex according to the vertex index, and transmitting the numerical data to the fragment shader; and in the fragment shader, outputting the color of the Mesh grid by using a preset color mapping table. According to the method, a finite element calculation result is rebuilt through a twinning method, the finite element is lightened, cross-platform application of the finite element is achieved, the finite element calculation result is visually displayed in real time, engineers are helped to judge entity world changes more accurately, potential problems are found in time, prevention measures are taken, and the real-time real-time visualization display of the finite element calculation result is achieved. Therefore, safety and stability of buildings and infrastructures are guaranteed.

The invention relates to the technical field of plastic molding processes, and discloses a negative pressure injection molding plastic molding method and device. The method comprises the steps that in the negative pressure injection molding process, gas parameter data of a plurality of monitoring points in a mold cavity are obtained in real time; based on the change of the gas parameter data of each monitoring point, identifying the state of the gas pushed by the melt, and determining the propulsion path of the melt flowing front edge in the cavity; according to the propelling path, the melt filling progress and the filling time sequence of all areas in the cavity are calculated; and based on the filling progress and the filling time sequence, generating evaluation information of the filling state of the melt in the cavity. According to the method, the real-time visual prediction of the melt filling process in the mold is realized, and the control accuracy of the negative pressure injection molding process and the stability of the product quality are improved.

The invention provides a portable up-conversion aptamer sensor capable of rapidly detecting oxycodone in real time. According to the technical scheme, the preparation method comprises the following steps: S1, preparing up-conversion nanoparticles; s2, carrying out surface functionalization on the up-conversion nanoparticles; and S3, selection and modification of an aptamer. The invention provides a portable up-conversion aptamer sensor for rapidly detecting the content of oxycodone in real time, and the portable up-conversion aptamer sensor can be used for rapidly and visually detecting oxycodone in real time and can be used for detecting the content of oxycodone in urine.

A device and system for real-time visualization of the electrophysiologic activity of a brain, particularly at the cortical surface. The neural device can acquire, process, and display high-spatiotemporal-resolution electrophysiologic data in real-time across entire electrode arrays spanning many thousands of electrodes over identified anatomic regions. The system is compatible with thin-film cortical surface electrodes that record from neural tissues without damaging those tissues. The system can be used to guide diagnostic and therapeutic actions with high precision, and also provides the basis for a brain-computer interface.

The invention relates to the field of oral medicine, and discloses an oral bone grafting navigation system based on multi-modal mixed reality interaction, which comprises a data processing module, a mixed reality display module and a navigation module, the data processing module is used for acquiring CBCT data and oral scanning data of the oral cavity of the patient, generating a composite three-dimensional model fusing bone tissue and dentition morphology according to the acquired data, and obtaining the three-dimensional morphology, the target placement position and the screw fixing position of the bone grafting bone sheet; the mixed reality display module comprises a head-mounted display device capable of displaying the virtual indication unit and the virtual operation area presentation unit; and the navigation module comprises a navigation marker and an optical positioning camera and is used for tracking the spatial positions of the surgical instrument, the bone sheet and the screw in real time. According to the system and the method, multi-modal image data are combined, and the mixed reality display module and the navigation module are combined, so that real-time visual guidance of the bone slice position and the screw implanting path is realized, and the bone grafting operation efficiency and safety are improved.

The invention discloses a wheel flash welding optimization system and method based on digital twinning, and belongs to the crossing field of intelligent manufacturing, welding processes and artificial intelligence. The system comprises a material attribute database module, a multi-source data acquisition and preprocessing module, a digital twin module integrating heat-force-microstructure and other multi-physics field models, an AI prediction and multi-objective optimization module, an advanced visualization and interaction module and a closed-loop control module. The method comprises the following steps: initializing and matching material parameters; collecting data in real time to update the twinborn model; running simulation and AI to predict the welding temperature, the structure and the performance; if the prediction does not reach the standard, starting a multi-objective optimization algorithm to generate an optimal process parameter set; and executing optimization parameters through closed-loop control and performing real-time visual feedback. According to the method, full-chain real-time mapping, transparent monitoring and intelligent optimization of technology-structure-performance in the welding process are achieved, the performance stability of joints is remarkably improved, and the efficiency and the product quality are optimized.

The invention provides an electric power communication SDH network operation state real-time monitoring system and method, and the system comprises a multi-protocol adaptive collection module which carries out the collection of network element information, performance information, alarm information and equipment information of an electric power communication SDH network according to a preset strategy, performing standardization processing on the acquired multi-source heterogeneous data through a protocol analysis engine module to obtain structured data; the intelligent data screening and deconstruction module is used for analyzing, associating and identifying the structured data to obtain a key business entity; the lightweight packaging module is used for carrying out serialization and compression optimization on the key business entities to obtain lightweight packaging data; and the rendering module is used for carrying out real-time rendering on the basis of the lightweight packaging data to obtain a real-time visual operation state of the electric power communication SDH network. According to the invention, the acquisition efficiency is optimized, real-time monitoring is supported, the bandwidth cost is reduced, invalid data transmission is reduced by 80%, and the fault positioning time is compressed from an hour level to a minute level.

The invention provides a parallelism measurement device and method based on lever and turn-back light path coupling amplification, belongs to the technical field of parallelism measurement devices, and solves the problem that existing parallelism detection equipment is difficult to give consideration to rapid detection, low cost and visual operation. The device comprises a base, a lever structure, a linkage rod, a sliding block, a probe, a sensor support, a photosensitive position sensor, a turn-back light path structure, a laser transmitter, a control unit and a displayer, the lever structure comprises a supporting frame and a lever, the probe is arranged at the lower end of the linkage rod, and the turn-back light path structure comprises a reflector support, a reflector, a refractor support and a refractor. A laser beam emitted by the laser emitter is projected to the photosensitive position sensor after being reflected by the reflector and refracted by the refractor in sequence, and the display and the photosensitive position sensor are both connected with the control unit. The device can quickly and accurately detect the parallelism between the two planes after assembly, is simple to operate and high in efficiency, and has a real-time visualization characteristic.

The invention relates to the technical field of new energy automobiles, and discloses a full-life-cycle health monitoring method and system for a battery of a battery swap station, and the method comprises the steps: applying a small-amplitude sinusoidal current to a preset charge window, collecting an infrared temperature sequence, calculating the average temperature of a region, extracting the amplitudes and phases of first and second harmonic waves, and building phase equal penetration mapping in a historical stage; forming a thermalization state index and determining a biharmonic phase crossing frequency; and constructing a life function by combining the battery operation quantity. In the monitoring stage, the cross frequency predicted value of the target battery is obtained, the service life is calculated, real-time visual monitoring is achieved through cloud collaboration, and the prediction accuracy and the battery replacement safety are improved.

The invention relates to the technical field of diving suit detection, and discloses a high-pressure diving suit detection device and method, and the device comprises the following steps: a high-pressure simulation cabin which is used for simulating the high-pressure environment of a deep sea, and providing the testing conditions of a diving suit under different depth pressures; the warm dummy simulates a human body and can heat different parts of the dummy in an underwater high-pressure environment, so that real-time visualization of body surface temperatures of all the parts of the human body in the underwater high-pressure environment is achieved, temperature control data can be recorded in real time, and a diving suit in detection can be worn on the warm dummy in real time; and the temperature control system simulates the heat distribution and heat loss rule of the human body by adjusting the temperature of each part of the thermal dummy. Multi-dimensional environmental parameters including pressure, temperature and humidity can be simulated through the high-pressure simulation cabin, so that the actual working state of the diving suit in the deep sea can be effectively represented, comprehensive test conditions are provided, the test result is close to the real use situation, and the reliability and safety of the diving suit in the extreme environment are ensured.

The invention relates to the technical field of data line performance testing, in particular to a data line tensile property testing device and method. The data line tensile property testing device comprises a base, a static clamp, a linear guide rail, a driving mechanism, a sliding platform, a force value sensor, a dynamic clamp, a displacement sensor and a visual inspection mechanism. The device is used for continuously recording the whole stretching test process, real-time visual recording of the apparent deformation and damage process of the data line is achieved, the defect that process monitoring is incomplete is overcome, meanwhile, after the test is finished, the height of the annular mounting frame is adjusted through the position adjusting assembly, and the measurement accuracy is improved. According to the method, the high-resolution area-array camera is close to the failure part of the data line, so that a high-definition image is obtained, a data basis is provided for three-dimensional reconstruction by adopting a photogrammetry or stereoscopic vision algorithm, high-precision three-dimensional shape analysis of the failure part of the data line is realized, and the problem of inaccurate analysis is solved.

The invention discloses an energy flow interface 3D interaction method, and relates to the technical field of vehicle electronics, and the method comprises the steps: collecting a real-time operation message of each subsystem of a vehicle through a whole vehicle communication network, and analyzing the real-time operation message into an engineering value with a physical quantity line; determining the running state of the vehicle based on the engineering numerical value, and dynamically generating an energy flow direction topology table defining a source node and a target node; calculating a three-dimensional energy flux vector containing a direction vector and a modulus length scalar according to the node anchor point coordinates; calculating a target observation matrix of the virtual camera based on the three-dimensional energy flux vector, so that the sight line direction and the space direction of the vector meet a preset geometric projection relationship; and driving a graphic rendering pipeline, and generating an interactive interface comprising the three-dimensional part model and the dynamic particle flow according to the engineering numerical value and the target observation matrix. According to the method, self-adaptive adjustment of a visual angle is realized by constructing an energy flux vector, the optimal visibility of an energy transmission path is ensured, and real-time visualization of physical data driving is realized.

The invention relates to the technical field of wireless charging assembly line automatic control, in particular to an intelligent cooperative control system for a wireless charging assembly line, and adopts the technical scheme that a central scheduling module and a beat cooperative algorithm unit can construct a dynamic state model based on global real-time data; a digital twin sub-module is introduced to perform simulation deduction verification on an instruction in a virtual environment, a beat redistribution strategy can automatically adjust a material flow when a fault occurs, and a visual positioning and compensation module can identify a material position and attitude offset in real time and generate compensation data. The man-machine interaction interface can visualize the whole line state, prediction information and alarm information in real time, the historical database and optimization learning unit can store data and iteratively optimize algorithm parameters, uncertain interference is analyzed through Monte Carlo simulation, and a Pareto optimal solution set is solved through an NSGA-II algorithm. The production takt of the three stages of feeding, dispensing assembling and baking discharging is dynamically matched, and dynamic takt synchronization and productivity optimization of the whole production line are achieved.