253 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 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 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 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 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 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.

The invention is applicable to the technical field of grouting of mining engineering and geotechnical engineering, and provides a grouting diffusion space real-time sensing and tracking method based on slurry dynamic sound source localization, which comprises the following steps: active enhancement and characteristic modulation of a slurry dynamic sound source; building a stereo wave sensing network and acquiring high-fidelity sound wave data; carrying out AI-driven slurry sound source identification and three-dimensional space positioning; and the grouting diffusion process is subjected to three-dimensional real-time visualization and intelligent early warning. The invention creatively provides a comprehensive solution integrating sound source active enhancement modulation, stereophonic sensing network, artificial intelligence deep noise reduction and three-dimensional space inversion positioning, and the core of the comprehensive solution lies in that slurry flow sound signals which are originally weak and difficult to use are actively enhanced and are endowed with features; a traceable slurry power sound source signal with a high signal-to-noise ratio is constructed, and three-dimensional space real-time sensing and visual tracking of the slurry diffusion frontal surface position and the overall diffusion range are realized in combination with an advanced signal processing and positioning algorithm.

This invention provides a highway traffic spatiotemporal service platform and method based on multi-source heterogeneous data fusion. The platform includes: a data acquisition module; a data fusion management module; a base map creation module for generating a highway traffic spatiotemporal service base map with highway intersections as key nodes; a traffic situation analysis module for generating a traffic situation prediction map; and a decision support and personalized service module for providing real-time, visualized traffic situation displays, traffic guidance strategies, and personalized travel services to traffic managers and traffic participants based on the traffic situation prediction map. This invention not only provides real-time, visualized decision support for traffic managers but also allows for customized personalized travel plans for traffic participants, thereby achieving comprehensive perception and precise control of highway traffic operation status and greatly improving the level of intelligent traffic operation management.

This invention relates to the field of information processing technology, and in particular to a gridded interpolation method, apparatus, electronic device, and storage medium that integrates KNN search. It employs a KD-tree with contiguous memory storage and aggregated leaf node storage, which helps reduce memory usage and tree depth. Combined with an improved fast selection algorithm and iterative construction, it can increase tree construction speed and mitigate the risk of recursive stack overflow. By integrating KNN search with heap sort, the nearest neighbor is directly obtained during traversal. Compared to the two-stage method of querying first and then sorting, this reduces intermediate data storage and secondary sorting overhead. This invention improves interpolation speed and reduces memory usage when processing gridded interpolation of millions of scattered points. In typical browser scenarios, it can achieve millisecond-level response times, making it suitable for real-time visualization and rapid analysis in fields such as meteorology, oceanography, and the environment.

The invention discloses a preparation method of a starch-based gel color developing material for visual detection of airborne iodine nuclides, which comprises the following steps: adding starch, a polymer matrix material and a plasticizer into deionized water for soaking and uniformly stirring to obtain a starch-based gel matrix solution; placing the starch-based gel matrix solution at a certain temperature, and stirring to obtain gel paste; and injecting the gel paste liquid into a mold, and carrying out freeze-thaw cycle to obtain the starch-based gel color developing material for airborne iodine nuclide visual detection. The starch-based gel color developing material has the characteristics of quick response, stable color development and lasting color and luster for airborne iodine nuclide at normal temperature, has excellent mechanical strength, machinability and recycling performance, can be flexibly processed into forms such as a film and a test piece, or can be integrated in various detection devices, and has a wide application prospect. The method is suitable for places needing airborne iodine nuclide detection, such as nuclear medicine laboratories, nuclear facilities / nuclear equipment and the like, and meets the requirements of real-time visual detection and early warning.

The invention relates to the technical field of data visualization, in particular to a security visual monitoring method based on big data. The method comprises the following steps that original data streams of a plurality of service systems are obtained and classified according to source types, a data partition set is formed, and the data partition set comprises a plurality of data partitions; then extracting basic attributes of each data block to generate a data activity feature table, constructing a data sensitivity visual mapping unit, and converting feature weights into a safe visual mapping graph; monitoring an intensity change abnormal area in the mapping graph, and determining a safety risk area; and generating risk warning information according to the risk area, and outputting the risk warning information to the safety visual monitoring terminal to realize real-time risk identification and early warning. Through multi-source data fusion modeling, sensitivity visual mapping, adaptive anomaly aggregation detection and a risk feedback closed loop mechanism, real-time visual perception, accurate identification and dynamic management and control of security risks in a big data environment are realized.

The invention discloses a real-time battle damage assessment and victory or defeat judgment method in a simulation confrontation process. The method comprises the following steps: S1, constructing and initializing a confrontation scene; s2, performing real-time operation monitoring and data acquisition; s3, battle damage data are calculated in real time; s4, feeding back a real-time battle damage evaluation result; and S5, automatically judging victory or defeat and outputting a result. During implementation, through confrontation scene construction, real-time operation monitoring, dynamic battle damage calculation, real-time state feedback and automatic victory and defeat judgment, full-process intelligent management of a simulation confrontation process is realized; the adversarial and actual combat feeling of simulation training are improved, so that participants can operate under approximate real adversarial pressure; the real-time visualization of the war damage state is realized, and participants are helped to adjust the strategy in time; and the victory or defeat is comprehensively judged through multi-dimensional data, so that the objectivity and fairness of evaluation are improved.

This invention belongs to the field of ecological environment monitoring, specifically a dynamic monitoring method for carbon flux in wetland ecosystems that integrates eddy covariance (ECD) and satellite remote sensing. The method includes the following steps: S1: Monitoring station establishment: Based on the ECD method, flux monitoring stations are established in typical areas of lake wetlands. The selected typical areas should represent the main ecological characteristics and vegetation types of the wetlands to ensure the representativeness and reliability of the monitoring data. This invention combines ECD observation with satellite remote sensing technology to achieve real-time visual monitoring of carbon flux. It provides both data accumulation and visualization, improving the accuracy and reliability of wetland carbon source / sink assessment results. Simultaneously, the visualized spatial distribution of carbon sources / sinks facilitates the detection of changes in carbon sources / sinks in wetland areas, enabling timely detection and response to changes in wetland ecosystems, and scientifically increasing wetland carbon sinks through artificial regulation.

The invention discloses a crystal growth synthesis furnace which comprises a composite furnace body, a heating and temperature control system, an optical observation window assembly and a growth monitoring and control system. A furnace chamber of the composite furnace body is of a multi-layer gradient composite lining structure composed of a pressure-bearing water-cooled jacket, a carbon fiber reinforced silicon carbide composite material layer, a foam silicon carbide ceramic heat insulation layer and high-purity graphite paper. The heating and temperature control system adopts a distributed design and comprises a main heater, an upper auxiliary heating ring, a lower auxiliary heating disc and a lateral compensation heater. The optical observation window assembly is fixed to the center of the upper furnace cover and matched with the high-speed imaging unit to achieve in-situ monitoring of the growth process. According to the crystal growth synthesis furnace provided by the invention, accurate regulation and control of a three-dimensional temperature field and real-time visual monitoring of a growth interface in a silicon carbide crystal growth process are realized, and the crystal quality, the growth success rate and the process repeatability are remarkably improved.

The invention relates to the field of cardiovascular intervention postoperative nursing equipment, and discloses a cardiovascular intervention postoperative puncture point intelligent hemostasis and monitoring robot which comprises a shell, a fixed pressing frame is movably arranged at the inner bottom of the shell, a flexible pressing pad is fixedly installed at the bottom end of the fixed pressing frame, and a glass pressing piece is fixedly installed in the middle of the flexible pressing pad. A fixing frame is arranged in the middle of the interior of the shell, rotating frames are movably installed at the two ends of the fixing frame, first cavities are formed in the two sides of the interior of the fixing frame, spring pieces are fixedly installed on the two sides of the interior of each first cavity, and the tail ends of the spring pieces extend into the rotating frames on the corresponding sides. The system can accurately and constantly press a puncture point for hemostasis, can visually monitor the bleeding state in real time, can perform intelligent gradient pressure reduction and millisecond-level emergency pressurization, is high in adaptability and convenient to operate, can reduce postoperative bleeding risks and medical care intensity, and guarantees the safety of a patient.

The invention provides a real-time visual feedback man-machine interaction dynamic motion control device, relates to the technical field of robot control, and aims to solve the problems of low capture precision, untimely feedback and poor adaptability in the existing robot motion control technology. The core process is as follows: a demonstrator selects to implement tracking or whole-section capturing dual-mode input actions, a dual-path camera module synchronously captures action information through binocular vision positioning, the action information is analyzed into a three-dimensional action data set through an action trajectory extraction module, a system generates a robot action instruction according to the action information and issues and executes the robot action instruction, and then double-end action data is synchronously captured; the action similarity is calculated through multi-dimensional weighting, standard judgment is achieved in combination with real-time visualization and voice feedback, unqualified actions are automatically corrected, qualified actions are stored and solidified, and by means of closed-loop control, the robot action simulation precision and efficiency are improved, and the action adaptability is enhanced.

The invention is suitable for the technical field of fluid mechanics experiments, and provides a Tesla valve visualization experiment device and method based on semiconductor heating and cooling, and the device comprises a Tesla valve heat dissipation plate, a fluid supply and vacuum system, a heating, cooling and temperature control module, a data acquisition and visualization module, a supporting and fixing module and a power supply module. A valve body structure formed by combining an acrylic plate and a copper plate engraved with a Tesla valve runner is matched with a high-precision high-speed camera, so that the real-time visual observation of the flowing state of fluid in the Tesla valve is realized. According to the invention, visualization of the Tesla valve flow channel experiment is realized, the flowing form of fluid in the Tesla valve flow channel can be clearly presented, the Tesla valve performance verification method is suitable for Tesla valve performance verification under different structure parameters, different fluid media and temperature conditions, and reliable experiment support is provided for structure optimization and application expansion of the Tesla valve.

The invention relates to the technical field of medical instruments and clinical nursing, in particular to a radial artery puncture navigation system based on multi-modal sensing and digital projection, which comprises the following steps: a multi-modal blood vessel signal acquisition module, which is used for acquiring a blood vessel pulsation signal on the wrist of a patient through a photoplethysmography sensor array, the strongest pulsation line is positioned through the pressure sensor array, and the blood vessel depth and artery and vein distinguishing information are obtained through the bioelectrical impedance sensor array. According to the invention, through multi-modal blood vessel signal acquisition, blood vessel dynamic deformation modeling, personalized digital twinning construction and dynamic updating, projection path generation and control, and projection output and real-time error compensation, real-time visual projection of a blood vessel center line and local deformation is realized; therefore, the problem that puncture positioning is not accurate due to the fact that dynamic changes of blood vessels cannot be accurately reflected due to the fact that most traditional radial artery puncture adopts a hand feeling positioning method is solved.

The present disclosure provides a system and method for real-time visualization of a material during ultrasonic non-destructive testing. The system includes a graphical user interface (GUI) capable of showing a three-dimensional (3-D) image of a composite laminate constructed of a series of two-dimensional (2-D) cross sections. The GUI is capable of displaying the 3-D image as each additional 2-D cross section is scanned by an ultrasonic testing apparatus in real time or near real time, including probable defect regions that contain a flaw such as a hole, crack, wrinkle, or foreign object within the composite. Furthermore, in one embodiment, the system includes an artificial intelligence capable of highlighting defect areas within the 3-D image in real time or near real time and providing data regarding each defect area, such as the depth, size, and / or type of each defect.

The invention relates to the technical field of rock mechanics tests, and discloses a multiphase transparent rock-soil body sample preparation method and a visual combined test system.The sample preparation method comprises the following steps that S1, fused quartz sand and transparent glass sand are mixed, cooled after being cleaned and subjected to heat preservation till solidification, and a transparent skeleton structure module is formed; s2, removing impurities from amorphous silicon dioxide formed by melting natural silica, washing with water, and mixing with an epoxy resin solution to form a transparent rock matrix module; s3, filling the transparent rock matrix module and the transparent skeleton structure module into a sample shaping mold, and uniformly mixing the transparent rock matrix module and the transparent skeleton structure module; s4, demoulding and naturally cooling; s5, absolute ethyl alcohol is used for cleaning, then drying is conducted, and the multiphase transparent rock-soil body sample is obtained. According to the invention, real-time visual monitoring of the target sample is realized, and acoustic-optical-thermal-electric combined monitoring of the target sample is realized through the four-dimensional combined test system.

This application discloses a cutting temperature monitoring device and method, relating to the field of online monitoring technology for CNC machining. The device includes a temperature sensing module, a signal processing and data communication module, and a host computer monitoring module. Both the temperature sensing module and the signal processing and data communication module are fixed to a basic tool holder. The temperature sensing module collects the hot-end temperature signal of the cutting area at the tool tip. The signal processing and data communication module conditions and converts the hot-end temperature signal from analog to digital to obtain hot-end temperature data. Based on the cold-end ambient temperature data, it performs temperature compensation processing on the hot-end temperature data to calculate the actual cutting temperature after temperature compensation. The host computer monitoring module provides real-time visualization of the actual cutting temperature after temperature compensation. This application can achieve accurate, real-time, and stable monitoring of the temperature in the tool cutting area.

The invention discloses a graph structure force guided dynamic spring effect acceleration method based on GPU parallel computing. The method comprises the following steps: dividing three independent GPU kernel functions; a resource allocation strategy is adopted under the Ada architecture, and execution configuration is generated; introducing a thread coarsening method to generate an optimized kernel execution result; generating a node position calculation result by using a shared memory privatization method and a reduce operator fusion method in combination with an improved KIFMM algorithm; in the iterative updating stage, an iterative updating result of the node position is obtained; performing cooling processing on the node position updating process by using a simulated annealing algorithm; the real-time visualization and analysis requirements are met, the calculation efficiency of large-scale graph data can be remarkably improved, the convergence time is shortened, and the method has the advantages of being high in calculation speed, high in convergence stability and wide in application range.

The utility model relates to the technical field of circuit breaker especially, a pole switch with image monitoring device, including high voltage capacitor electricity -taking power supply, camera device and 10KV high voltage circuit breaker, high voltage capacitor electricity -taking power supply and camera device are integrated in 10KV high voltage circuit breaker, and high voltage capacitor electricity -taking power supply obtains electric energy from high voltage line through 10KV high voltage circuit breaker, and high voltage capacitor electricity -taking power supply converts high voltage alternating current into low voltage direct current, and high voltage capacitor electricity -taking power supply powers camera device, and camera device is used for the monitoring of line, ground environment and forest fire prevention, and 10KV high voltage circuit breaker cuts off the line when detecting the fault. The utility model realizes real -time visual monitoring to high voltage line and its surrounding environment, can stably operate in the remote area without municipal power supply, solves the problem that traditional image acquisition equipment is difficult to deploy due to the lack of reliable power supply.

The invention discloses a visual retrograde tracheal intubation device, belongs to the technical field of medical apparatuses and instruments, and is suitable for airway establishment of difficult airways. The device comprises a cricothyroid membrane puncture assembly, a visual acquisition assembly, a guide wire assembly and an image output assembly. The cricothyroid membrane puncture assembly comprises a hollow puncture needle, the visual collection assembly is arranged in the hollow puncture needle and located at a preset position behind a needle tip, and a preset included angle is formed between the imaging direction of the visual collection assembly and the axis direction of the puncture needle; an imaging window corresponding to the visual acquisition assembly is arranged on the needle wall of the hollow puncture needle and used for obtaining image information in the airway. The guide wire assembly enters an airway through the puncture assembly and moves reversely along the airway, the visual acquisition assembly is used for capturing at least one part of images of a guide wire in the airway, and the image output assembly is used for outputting image information to an operator so as to assist in judging the trend and position of the guide wire. Real-time visual guidance is provided in the retrograde intubation process, the dependence on experience of an operator is reduced, the risk that the guide wire enters the non-target direction by mistake is reduced, the operation time is shortened, and the safety and success rate of difficult airway retrograde tracheal intubation are improved.

The invention relates to the field of digital twinning, in particular to a hoisting operation real-time simulation method and system based on digital twinning. The method comprises the steps that a comprehensive and accurate data basis is provided for follow-up accurate simulation by obtaining a lifting simulation model and collecting operation data such as an operation instruction, equipment state feedback and environment monitoring, the lifting simulation model is driven based on the operation data to conduct real-time numerical simulation calculation, a simulation result can be rapidly obtained, and the simulation efficiency is improved. The real-time simulation of the hoisting operation process is realized, the simulation result is visually presented in real time, an operator can intuitively understand the hoisting operation condition, predicted hoisting operation in a future period is predicted based on the simulation result, the operation trend is mastered in advance, and the fault state of the current hoisting control system in the future period is determined according to the predicted hoisting operation. And fault early warning in the hoisting operation process is realized.