164 results about "Interactive feedback" patented technology

The invention relates to the technical field of information flow intelligent recommendation, and discloses a real-time interactive feedback information flow content adaptive optimization method and system.The real-time interactive feedback information flow content adaptive optimization method comprises the steps that user interaction data are collected and subjected to robust preprocessing to obtain standardized interaction feature vectors; constructing a user personalized interaction baseline model to obtain a multi-level behavior reference basis, identifying a real-time interest signal of a user and updating an interest state, dynamically adjusting a recall strategy and executing multi-path recall to obtain a candidate content set, adaptively adjusting a sorting feature weight and executing sorting, and dynamically controlling diversity to execute rearrangement to obtain a final recommendation list, and meanwhile, obtaining an interest prediction score in a sorting stage by adopting a hierarchical reasoning architecture and a model distillation technology. The interest change of the user can be captured in real time, the matching degree of the recommended content and the instant interest of the user is improved, and the user experience and the recommendation effect are improved.

The invention relates to the technical field of electronic shopping, in particular to a garment matching customization management system and method.The method comprises the steps that firstly, the body size, personal characteristics, social attributes, historical behaviors and target dressing occasion data of a user are collected, and real-time interaction feedback is fused to generate a dynamic multi-dimensional user portrait vector; inputting the design parameters into a pre-trained personalized matching generation model to generate a personalized matching scheme containing the design parameters; a virtual fitting effect picture is rendered through three-dimensional modeling, and a user is supported to adjust in real time and confirm a final scheme; and finally, analyzing the scheme to generate a customization demand list, distinguishing finished product items from customization items, intelligently matching a target supplier based on a supplier capability matrix, and issuing a purchase order or a customization production task list. And the system realizes full-process automation. According to the invention, matching precision and user experience are improved, supply and demand cooperation efficiency is optimized, personalized and standardized demands are adapted, and accurate, personalized and comfortable experience is provided for online clothes purchasing of the user.

The invention discloses a multi-modal stimulation regulation and control system combining interactive feedback and AI self-adaption. The system comprises an AI main control and synchronization module which generates a unified rhythm time sequence; the acoustic stimulation output module outputs a rhythm acoustic signal; the visual LED stimulation module outputs rhythm visual signals; the game / animation interaction module provides an interaction task synchronized with the acousto-optic rhythm; the sensing acquisition and feedback module is used for acquiring multi-modal physiological and behavior data in real time; the amplifier output module drives the execution module or equipment; the power management module realizes voltage stabilization and low power consumption switching; the behavior habit forming mechanism module binds a stimulation signal and an interaction task; and the human-assisted management interface module supports remote parameter setting and real-time monitoring. The interactive feedback and AI self-adaptive multi-mode stimulation regulation and control system is combined, microsecond-level synchronization and multi-source closed-loop self-adaption of sound and light and animation can be achieved, a guidance scheme for personalized customization of treatment and behavioral habit cultivation can be achieved, and the efficiency, accuracy and effectiveness of system regulation and control are remarkably improved.

The invention relates to the technical field of adaptive testing, and particularly provides a WebUI adaptive testing system and method based on multi-agent collaboration and multi-modal perception, and the system comprises a multi-modal perception subsystem, an agent collaboration testing subsystem and an assertion and verification subsystem. The method comprises the following steps: adjusting an element positioning strategy for a multi-dimensional interface feature set through a continuous interaction feedback mechanism, and outputting an element descriptor set; deploying a multi-agent collaborative decision-making unit comprising an interface understanding agent, a test logic agent and a data agent; outputting to form a semantic test script through a collaborative fusion mechanism; comprising the following steps: carrying out pixel-level difference calculation, and identifying a visual inconsistent region through multi-scale image comparison; and performing service-level logic difference, analyzing the consistency of the interface element state and the service rule, and outputting a hierarchical verification report. According to the invention, high coverage rate, low maintenance cost and reliable defect positioning capability of the test can be maintained in an environment with frequent evolution of pages.

The invention discloses a DIKWP-driven individualized brain-map interactive feedback system, which is used for neural rehabilitation and brain-computer interface training. The system obtains brain activity data of a patient through electroencephalogram acquisition equipment, constructs a personal brain-semantic map in combination with cognitive evaluation, and establishes a mapping relation between semantic units and brain region responses. In the training process, the DIKWP semantic analysis module performs multi-layer analysis on indexes such as reaction time, accuracy and intention achievement, generates multi-mode instant feedback such as visual sense, auditory sense or tactile sense, and performs directional reinforcement on a weak semantic domain. The system has a dynamic target optimization capability, and the difficulty can be automatically adjusted according to training performance; when attention distraction, emotion abnormity or semantic deviation is detected, a safety intervention mechanism is automatically triggered, and training effectiveness and safety are guaranteed. According to the method, closed-loop individualized rehabilitation interaction is realized, the adaptation degree and efficiency of brain-computer interface training are remarkably improved, and the method is suitable for various rehabilitation scenes such as languages, movement and cognition and has a good industrial application prospect.

The invention belongs to the technical field of intelligent interaction, particularly relates to an intelligent interaction method, system and device based on AI communication and a storage medium, and aims to solve the problems that in the prior art, AI scene coverage is narrow and is separated from a business process; the system comprises four modules: a context sensing and modeling module which collects multi-source context information in real time, and generates a three-dimensional context tensor through structured alignment and time sequence normalization; the intention analysis and reasoning module performs intention level decomposition by using a deep semantic model based on the tensor, and outputs an intention recognition result and probability distribution; the response generation and adaptation module is used for generating multi-mode responses such as texts, voices, images or equipment instructions in combination with intention and context tensors, and outputting the multi-mode responses after consistency verification; and the interactive feedback and optimization module collects user explicit and implicit feedback and is used for updating model parameters and strategy weights online to realize continuous optimization of the system.

The invention relates to a digital human live broadcast method and system. The method comprises the following steps: acquiring a live broadcast room visual effect picture and a digital human live broadcast audio; generating digital human live broadcast content under the driving of the digital human live broadcast audio by taking the visual effect picture of the live broadcast room as a visual manuscript through an I2V model; in the process of playing the digital human live broadcast content, if the current interaction behavior of the user in the live broadcast room is monitored, generating digital human interaction content responding to the current interaction behavior; selecting an insertion frame from the key frames of the digital human live broadcast content so as to insert the digital human interaction content at the position of the insertion frame; the key frame is a video frame corresponding to a statement demarcation point in the digital human live broadcast content. According to the scheme provided by the invention, the contradiction between long content production period, high implementation cost and slow real-time interaction feedback in digital human live broadcast in related technologies can be solved.

The invention discloses an AR visual information real-time superposition system and method, and particularly relates to the technical field of augmented reality, and the system comprises a visual collection and preprocessing module, a multi-modal space positioning module, a multi-source information fusion module, a dynamic superposition rendering module and an interactive feedback optimization module. According to the AR visual information real-time superposition system and method, the interaction feedback optimization module locally recognizes a gesture or a touch instruction through a lightweight CNN model, feedback logic is executed locally in combination with edge calculation, and cloud delay is avoided; meanwhile, feedback delay time is monitored, when delay is larger than 15 ms, rendering precision of non-core information is automatically reduced, it is ensured that core operation feedback delay is smaller than or equal to 15 ms, an operation-feedback-information updating closed loop is achieved, and smooth interaction experience of a user in scenes such as real-time operation guidance is guaranteed.

The invention belongs to the technical field of computers, particularly relates to an enterprise consultation service system based on big data, and aims to solve the problems of data islands, decision lagging and insufficient predictive ability in traditional enterprise consultation service. The system comprises a global data access module, a knowledge graph construction module, a dynamic simulation engine, an intelligent consultation generation module and an interactive feedback optimization module, a time sequence evolution knowledge network is constructed by fusing internal and external multi-source heterogeneous data, multi-scene parallel simulation and intelligent suggestion generation are realized, and closed-loop feedback learning is supported. According to the scheme, the accuracy, foresight and response efficiency of enterprise strategic decision can be improved, and large-scale concurrent service and real-time dynamic optimization are supported.

Embodiments are described for monitoring a communications medium between a user and one or more other users and one or more products for selection, and collecting data about the users, the one or more products, and historical interactions among the users and the products from the monitored communications medium. Features pertaining to the collected data are defined and selected, and a candidate ranking process is trained using a LambdaMART Learning-to-Rank model based on the defined features. The model is deployed and applied to live data to produce product recommendations for display to the user. The model is retrained using refreshed data based on user behavior evidenced in the live data to update the model for the user behavior.

The invention discloses a live broadcast interaction system and device based on a multi-modal intelligent agent, and relates to the technical field of live broadcast interaction multi-modal data processing, and the method specifically comprises the following steps: collecting and preprocessing multi-modal interaction data in a live broadcast interaction scene in real time; constructing a multi-modal information fusion model, and performing multi-modal information fusion on the preprocessed multi-modal interaction data; a user intention-emotion comprehensive analysis model is constructed, and the specific intention and the emotion tendency of the user are recognized according to the fused multi-modal fusion information; dynamically generating multi-modal interaction content based on the specific intention of the user and the emotional tendency of the user according to the historical multi-modal interaction data of the user; constructing a multi-modal task, and performing distributed deployment and parallel computing on the multi-modal task by adopting a distributed real-time processing architecture; and establishing a multi-modal interaction feedback mechanism, collecting feedback data of the user on the generated multi-modal interaction content in real time, and continuously optimizing the multi-modal information fusion model and the multi-modal interaction content.

The invention relates to the related technical field of student behavior monitoring, in particular to a classroom student behavior monitoring system, which comprises the following functional modules: an identity label generation module; an image acquisition module; a data storage module; a behavior analysis module; a multi-modal data integration module; and an interaction feedback module. According to the classroom student behavior monitoring system, the identity label generation module, the image acquisition module, the data storage module, the behavior analysis module, the multi-modal data integration module and the interaction feedback module work cooperatively; algorithm design of a head posture analysis unit, a hand action recognition unit, an electronic equipment use detection unit and a sitting posture evaluation unit is further optimized, and a student behavior track diagram and an abnormal condition report are provided as dynamic monitoring results to an external user by means of an interaction feedback module. The defects of the prior art in the aspects of recognition precision, real-time performance, multi-dimensional data analysis and privacy protection are overcome.

The invention discloses an intelligent mobile terminal tourism information personalized pushing system based on a user portrait, and relates to the technical field of mobile terminal tourism pushing, and the system comprises a user portrait construction module which collects basic information, mines behavior data and generates an interest label; the tourism information processing module is used for collecting multi-source tourism data, carrying out structured processing and evaluating the quality; the personalized push decision module is used for matching user interests and situations and determining a push strategy; the interaction feedback module is used for tracking user operation and optimizing portraits; and the privacy protection module is used for desensitizing the data, managing the authority, encrypting and storing. According to the method, the pushing accuracy and timeliness are improved, the user experience is optimized, the information quality and privacy security are guaranteed, and the method is adaptive to the whole travel process demand.

The invention belongs to the field of product top-layer system design and modeling, and discloses an interactive feedback-oriented product top-layer system design method, which comprises the following steps of: constructing a multi-layer model based on a demand R, a function F, a behavior B and a structure S, establishing a knowledge graph for representing a semantic relationship between layers and between nodes on the same layer by using weighted directed edges, forming a layer-by-layer mapping matrix by using edge weights, and constructing a layer-by-layer mapping model; realizing weight decomposition from the demand to the structural unit; a constraint hypergraph is constructed on the node set, and structural unit combination constraints are depicted through mutual exclusion, dependency, collaboration and conflict hyperedges; physical parameters of the structural units are normalized into performance vectors, weighted aggregation is carried out according to weights, legality judgment and performance correction are carried out in combination with a hypergraph, a system-level performance evaluation result is obtained, candidate configuration schemes are compared and optimized according to the result, and a product configuration scheme meeting requirements and constraint conditions is formed. The method provides a model basis for subsequent product structure configuration optimization based on interactive feedback.

The invention discloses an English listening and speaking interaction intelligent training system based on a large language model, and relates to the technical field of English learning, and the training system comprises a user capability graph module, an interaction feedback module, a personalized learning path generation module, a scene simulation module, an interaction rhythm control module and a community cooperative training module. According to the method, the pragmatic ability, the cross-language communication ability and the linguistic ability are jointly incorporated into the training content, and the adaptive training content is generated in combination with a real cross-language communication scene, so that a user synchronously masters expression specifications and culture adaptation key points in different scenes in the training process; the effect that training content and real communication requirements are deeply matched is achieved, the user is helped to accurately adapt to a native English scene and real phrase habits of people, the requirements of an actual application scene are met, and substantial improvement from basic language knowledge mastering to real communication ability is achieved.

The application discloses a virtual anchor intelligent idle chat system based on a dynamic knowledge graph, relates to the technical field of artificial intelligence and virtual anchors, and comprises data preprocessing, cross-mode fusion, intention distribution, response generation and knowledge updating modules. Current and historical dialogue data of a user is acquired first; dialogue text features and entity relationship features of a knowledge graph are extracted and fused; the correlation degree of user intention and knowledge entities is analyzed by using a graph neural network; idle chat responses fused with knowledge are generated accordingly; and finally, knowledge graph updating strategies are generated according to response feedback to drive the dynamic evolution of the knowledge base. The system realizes the deep dynamic fusion of idle chat dialogue and structured knowledge, and can autonomously optimize knowledge according to interactive feedback, thereby improving the knowledge, accuracy and long-term adaptability of responses of the virtual anchor.

The invention discloses an intelligent power grid operation and maintenance test paper composition system and method based on interactive knowledge feedback, and belongs to the field of knowledge maps and intelligent operation and maintenance. The method aims at solving the problems of high knowledge blind spot rate, test paper generation delay, large resource consumption and the like in the prior art. The method comprises the following steps: firstly, integrating multi-source data by constructing a power grid operation and maintenance knowledge graph; scanning the atlas at regular time, identifying weak areas such as low-confidence nodes and knowledge islands, and generating a priority list; pushing the knowledge task to be verified or complemented to an expert end for interactive feedback; dynamically correcting the node and relation confidence coefficient of the knowledge graph according to the feedback content; and finally, analyzing accumulated feedback data, and optimizing a test paper composition strategy by utilizing machine learning. The system correspondingly comprises a knowledge graph construction module, a weak point detection module, an interactive feedback module, a dynamic correction module, a strategy optimization module and the like, a closed-loop optimization process is formed, knowledge blind spots can be effectively reduced, and the accuracy and efficiency of operation and maintenance paper composition are improved.

The invention relates to the technical field of medical robots, and discloses a height-adjustable medical robot carrying an identification electronic component, which comprises the following modules: a mobile navigation module; a self-adaptive man-machine interaction module; a physical support unit; integrating a sensing unit; an interaction feedback unit; a central processing module; a multi-machine cooperative communication module; according to the invention, the posture of a user is sensed in real time through an integrated vision and depth sensor, and the physical support unit and the interactive interface are automatically driven to carry out height and angle self-adaptive adjustment based on a classification decision rule; the robot can accurately adapt to the optimal interaction view and operation distance of users in different states such as standing of adults and children, riding of wheelchairs and even lying of sickbeds, and the interaction friendliness and service accessibility of patients with mobility difficulties and special body positions are greatly improved; secondly, voice, touch control and visual gesture signals are collected in parallel, fusion decision making is carried out, and dialect recognition and sign language animation output are combined.

This invention discloses a mixed reality data processing and interactive response method, apparatus, and system. The method includes: acquiring corresponding spatial feature points in VR and AR environments; optimizing the solution of rigid body transformation matrices to achieve sub-millimeter-level spatial alignment; continuously monitoring alignment errors during virtual-real fusion rendering, triggering a repositioning process when errors exceed a threshold; evaluating user operations through multimodal data fusion and generating real-time AR correction guidance; and dynamically adjusting rendering parameters and resource preloading based on visual attention focus to ensure end-to-end latency and interactive feedback latency are both below set thresholds. The apparatus includes modules for feature point acquisition, spatial alignment calculation, error monitoring and repositioning control, multimodal data interface, and real-time rendering control. The system includes a server and a user interaction terminal, supporting intelligent training and adaptive interactive optimization for virtual-real fusion. This application addresses problems such as low virtual-real spatial alignment accuracy, high interactive latency, and insufficient personalized adaptation.

The application provides a battle special effect display method and device, a storage medium and a computer device, which display a virtual character and a skill charging progress bar of the virtual character in the form of a card in a non-battle area, control skill release through a trigger operation after the charging progress bar is full, and display a skill special effect on the corresponding card, so that a player can instantly know the skill release state through the card special effect, the visual linkage of the card and the battle special effect is realized, and the instant nature of interactive feedback and the participation of the player are improved.

The application discloses a kind of based on multi-objective optimization and interactive feedback roof photovoltaic intelligent arrangement method, belong to photovoltaic power plant design technical field.The method includes: S1, obtains building roof geometry data, photovoltaic module parameter and user preference data;S2, the population of candidate arrangement scheme is initialized;S3, the objective function of installed capacity, annual power generation and comprehensive cost is calculated;S4, fast non-dominated sorting and crowdedness distance calculation are carried out to population;S5, based on fast non-dominated sorting and crowdedness distance, filter out parent population;S6, to parent population execute hybrid crossover and hybrid mutation operation, obtain optimization population;S7, from optimization population, filter out optimal solution set;S8, user carries out interactive operation to optimal solution set, obtains final photovoltaic arrangement scheme.Through multi-objective optimization and adaptive arrangement, significantly improve irregular roof utilization rate and power generation, whole compliance, interactive efficient, can quickly output optimal photovoltaic arrangement scheme.

The invention relates to the technical field of folk songs, and discloses a digital voiceprint matching response system for folk songs, which comprises a voiceprint DNA generation module for extracting original rhythm features, original melody features and original emotional features of the folk songs through an audio signal processing technology to form voiceprint DNA data blocks, the real-time singing analysis module forms a singing feature data block according to singing audio of a modern singer, compares the singing feature data block with the voiceprint DNA data block, calculates a rhythm matching degree, a melody matching degree and an emotion matching degree, and sends calculation results to the acousto-optic reaction linkage module; and an interactive feedback strategy is implemented by carrying an acousto-optic reaction vessel in the acousto-optic reaction linkage module. The system enables the singer to visually understand the advantages and disadvantages of the singer in rhythm control, melody reduction and emotion expression, provides a multi-dimensional visual evaluation standard for the singer, and improves the evaluation accuracy of singing of the singer.

The invention discloses a method, equipment, a product and a medium for digital technology assisted physical creation, and relates to the field of digital technologies. The method comprises the steps of collecting a multi-view image of a physical creation entity and performing three-dimensional reconstruction to generate current state data; comparing the data with a preset digital target model to generate deviation data; generating a calibration visual instruction based on the deviation data, and displaying a calibration mark on a front-end display interface to guide a user; and collecting interaction data including confirmation or denial of the calibration instruction by the user. According to the method, the creation deviation can be dynamically calibrated, the conformity of the physical entity and the digital target model is improved, meanwhile, the final decision-making right of a creator is reserved through user interaction, interaction feedback of man-machine cooperation in the physical creation process is achieved, and then the physical creation efficiency of the creator is improved.

The present disclosure relates to an interactive content display method, device, equipment, medium and product. The method comprises: in response to at least one continuous interaction operation implemented by a first account on a content display interface of target content, displaying a first effect corresponding to each continuous interaction operation; each displayed first effect comprises a virtual sticker associated with the corresponding continuous interaction operation; virtual sticker remaining information of the virtual sticker is displayed, the virtual sticker remaining information is used to prompt the remaining number of virtual stickers associated with the first account, and the remaining number decreases with the increase of the number of continuous interaction operations; the reduced virtual sticker is used to transfer to a second account associated with the target content. Through the technical solution of the present disclosure, the personalized expression needs of users on the target content can be met, and the visual effect of interactive feedback can be improved.

The invention discloses a dance posture optimization system based on real-time monitoring, and relates to the field of dance training and sports health. The system comprises the following components: a data acquisition and digital twinborn construction module, a real-time monitoring and load analysis module, a damage early warning and evaluation module, a safety substitution action generation and optimization module and an interactive feedback and collaborative management module. According to the method, the action data of the dancer is monitored in real time, the digital twinborn body and the skeletal muscle dynamics model are combined, the load condition of each part of the body of the dancer can be accurately simulated, and when the load data exceed the biomechanical limit parameters which are set in a personalized mode, the system can immediately give out early warning and point out the damaged part and the damage type; the real-time feedback mechanism helps the dancer to adjust actions in time, potential sport injuries are avoided, and meanwhile, the system can generate a safe alternative action scheme according to the physical condition and the training target of the dancer.

The invention provides an immersive impromptu dance experience device based on breathing visualization, and relates to the technical field of immersive interaction and dance performance. According to the device, physiological signals of breathing of a dancer are collected, the physiological signals are dynamically mapped into multivariate visual effects such as particle flow, graph deformation and space extension through Touch Designer application program stylized mapping, the multivariate visual effects are presented in real time in an immersive environment, and therefore linkage of the internal state of the body and an external interaction interface is achieved. The device solves the problems that in existing dance creation, the internal state of the body of a dancer is difficult to external, and interaction feedback is single, the body presence feeling of the dancer can be enhanced, and the expressive force and immersion experience of impromptu creation are improved.

The utility model discloses an immersion type simulation device for a spaceflight task. The immersion type simulation device comprises a simulation spaceflight cabin main body and a simulation spaceflight cabin shell, a simulated spaceflight seat is placed in the simulated spaceflight cabin main body, the simulated spaceflight seat is fixedly connected with the inner bottom surface of the simulated spaceflight cabin main body, a simulated spaceflight control panel and a liquid crystal display screen are arranged in the simulated spaceflight cabin main body, and the simulated spaceflight control panel and the liquid crystal display screen are arranged corresponding to the simulated spaceflight seat. The back surfaces of the simulated spaceflight control panel and the liquid crystal display screen are connected to the simulated spaceflight cabin main body; a vibration motor is installed below the simulated spaceflight seat, and the simulated spaceflight seat is arranged at an angle of 45 degrees with the horizontal direction. By simulating a spaceflight control panel, real interactive experience is provided for experiencers, real-time interactive feedback is carried out through a liquid crystal display screen, and the immersive simulation device for spaceflight tasks, which has interactive experience and real body feeling simulation and can carry out immersive experience, is formed.

The invention relates to a mobile monitoring device for a machining machine tool. The mobile monitoring device comprises a mobile box body, and a monitoring assembly, a calculation and analysis assembly, a communication assembly and an interactive feedback assembly which are arranged in the mobile box body, the monitoring assembly comprises a first current sensor and a first vibration sensor; the communication control assembly comprises a controller, a vibration decomposition unit and a noise reduction module, the controller is connected with the noise reduction module, the noise reduction module is connected with the first current sensor and the vibration decomposition unit, and the vibration decomposition unit is connected with the first vibration sensor; the communication assembly comprises an access switch, and the access switch is connected with the controller; the interactive feedback assembly comprises an IO module, a current abnormity alarm lamp and a vibration abnormity alarm lamp, wherein the current abnormity alarm lamp and the vibration abnormity alarm lamp are connected with the IO module. The IO module is connected with the controller and the vibration decomposition unit. The device can operate independently of the machine tool, can synchronously collect current and vibration data, improves the machining judgment accuracy of the machine tool, and is high in compatibility with machine tools of different models.

This invention relates to the field of artificial intelligence processing, specifically to a method for generating non-functional interactive personalized random input, comprising the following steps: S1, basic data collection; S2, personalized random input generation; S3, output of generated content and reception of interactive feedback; S4, emotional feature fusion and extraction, obtaining surface emotional features and scene emotional features and performing emotional feature fusion; S5, lightweight emotional classification and multimodal response scheduling; S6, emotional response output, simultaneously outputting text, emoticons, and voice resources to the user; S7, quantitative analysis of user interaction willingness; S8, dynamic threshold iteration and adjustment of interaction intensity; S9, cross-stage data reuse and full-link reverse iteration, solving the problems of insufficient content generation adaptability, insufficient accuracy and real-time performance of emotional responses, and inefficient interaction links and adjustment mechanisms in traditional technologies in terms of underlying algorithms, model architecture, and technical mechanisms.

This invention relates to the field of equipment data processing, and discloses an interactive data processing method, system, device, storage medium, and program product. The interactive data processing method provided in this invention includes: collecting multi-source data information from steel equipment, including a three-dimensional spatial visual image and sensor information of the steel equipment; uniformly semantically encoding the data information of different formats from the multi-source data information and inputting it into a pre-acquired semantic reasoning model, so that the semantic reasoning model generates structured instructions based on the multi-source data information; responding to the structured instructions, generating three-dimensional spatial rendering information and interactive feedback information of the steel equipment, and superimposing the three-dimensional spatial rendering information and interactive feedback information on the three-dimensional spatial visual image of the steel equipment. The method provided in this invention improves data processing efficiency and the accuracy of fault identification in steel equipment, realizing precise and immersive guidance for the AR operation and maintenance system of steel equipment.