661 results about "Digitality" patented technology

The invention relates to the technical field of construction stage management, in particular to a BIM-based road construction digital management system, which comprises a component parameter acquisition module, a process topology construction module, a state trigger mapping module, a logic conflict judgment module and a scheduling path adjustment module. According to the method, through continuous collection and analysis of the component state, dynamic monitoring of the connection state, geometric intersection and contact time is achieved, the construction change sensing capacity is improved, the dependency relationship is constructed in combination with component space adjacency and time overlapping, the dispatching path and field matching degree is enhanced, and through linkage updating of the component state and model attributes, the construction efficiency is improved. According to the method, the execution state is visual and controllable, scheduling reconstruction is carried out after time dependence conflicts are recognized, synchronous updating of model views is completed, a closed-loop dynamic scheduling mechanism is formed, the task allocation accuracy, the flow connection efficiency and the field scheduling response capability are integrally improved, and the real-time performance and the intelligent level of construction management are enhanced.

The invention discloses a surface mine digital safety production management method and device and a medium, and relates to the technical field of intelligent mines, and the method comprises the steps: collecting rock mass physical and mechanical parameters of a gold mine mining area and three-dimensional geometric morphology data of a blasting working face, and taking the parameters as physical constraint conditions to construct a digital twinborn body; a preset target blasting scheme is called to be input into the element reinforcement learning agent, multi-round simulation deduction is carried out through a blasting scheme evaluation strategy, and a simulation deduction result is generated; when the peak particle vibration velocity in the simulation deduction result exceeds a preset peak particle vibration velocity threshold value, generating a parameter adjustment suggestion; and the parameter adjustment suggestion is fed back to the element reinforcement learning agent for iterative optimization until the peak particle vibration velocity does not exceed a preset peak particle vibration velocity threshold, and a blasting scheme is generated. Through autonomous exploration of the meta-reinforcement learning agent in the blasting parameter space, the blasting scheme evaluation strategy with adaptability and reliability can be efficiently generated.

The invention discloses a flow field video generation method based on a policy value architecture and online physical exploration, and belongs to the technical field of crossing of artificial intelligence and computational fluid dynamics (CFD), and the method comprises the following steps: step 1, constructing an unsteady flow field multi-modal training data set, step 2, constructing a generative network system based on an Actor-Critic architecture, step 3, constructing an unsteady flow field multi-modal training data set, and step 4, constructing an unsteady flow field multi-modal training data set. Step 4, supervised fine tuning training is carried out in the first stage; step 5, online physical exploration of a generator is carried out in the second stage; step 6, feedback co-evolution of a physical encoder is carried out in the third stage; and step 7, reasoning generation of an unsteady flow field video is carried out. According to the method, a reinforcement learning architecture containing an Actor and a Critic is constructed, a physical equation is packaged into a digital environment, and a training strategy of basic supervision fine tuning, online physical exploration of a generator and coevolution feedback of an encoder is adopted.

The invention provides a large aqueduct intelligent temperature control system and method based on a digital twinning technology, and relates to the technical field of aqueduct temperature monitoring. A three-dimensional digital model of an aqueduct is constructed, and geometric parameters of the three-dimensional digital model are corrected through three-dimensional point cloud data of the aqueduct, so that the temperature of the aqueduct can be accurately controlled. Thermodynamic simulation calculation is carried out based on the three-dimensional digital model to obtain a simulation result, the aqueduct concrete temperature field simulation result is compared with the collected aqueduct temperature to obtain temperature deviation, parameters of thermodynamic simulation calculation are corrected according to the temperature deviation, and therefore the simulation result is updated, and the accuracy of the simulation result is improved. According to simulation results obtained after geometric parameters of the three-dimensional digital model and parameters obtained after thermodynamic simulation calculation are corrected, the water flow of the corresponding water pipe is controlled for cooling, local targeted cooling is achieved, and the problem that targeted cooling cannot be achieved for too high local hydration heat in the prior art is solved; the method is suitable for intelligent temperature control in the hydration heat process of the large aqueduct.

The invention provides a digital control method and system based on cosmetic production characteristics, and belongs to the technical field of data processing.The method comprises the steps that firstly, a digital twinborn model of cosmetic product characteristics is built, and the model is related to formula data, technological parameters, sensory characteristics and physicochemical indexes of a product; and output sensory characteristics and physicochemical indexes can be predicted according to input formula data and process parameters. Then, order demands at least containing one or more sensory characteristic preferences of product texture, skin feeling and fragrance are obtained; then, one or more recommended production parameter sets are determined based on the recommended production parameter set order requirements and the recommended production parameter set digital twin model, the recommended production parameter sets defining corresponding recipe data, process parameters and sensory characteristics. And finally, controlling production equipment to execute production according to the recommended production parameter set. According to the invention, accurate control from personalized sensory requirements to production parameters is realized.

The invention provides a city Internet of Things equipment digital identity generation method and system, and belongs to the field of Internet of Things, and the method comprises the steps: S1, based on the digital demands of various industries of a city, defining the rules of Internet of Things equipment identification, and generating a triple of the Internet of Things equipment identification; s2, performing security guarantee on the triple by using an asymmetric encryption algorithm and a dynamic authority control method; and S3, based on the rule and the mechanism, realizing credible binding of the device identity by adopting a lightweight encryption protocol, and generating a digital identity containing identification registration, analysis and authentication functions by adopting a distributed storage technology. The city Internet of Things equipment digital identity code with uniqueness, traceability and tamper-resistant capability generated by the method can be used for supporting credible interconnection and security collaboration of the city Internet of Things.

The invention discloses a digital workshop multi-equipment collaborative operation control system based on industrial Internet of Things, which relates to the technical field of industrial Internet of Things collaborative control and comprises a data acquisition module, a health degree evaluation module, a collaborative scheduling optimization module, an instruction control module, a dynamic rescheduling module and a verification updating module. According to the method, a dynamic equipment association network is constructed, so that health degree evaluation considering the coupling influence between equipment is realized; and based on multi-source data fusion monitoring and real-time deviation analysis, a closed-loop dynamic rescheduling scheme subjected to physical and security verification is triggered and generated, and meanwhile, a system knowledge base is continuously updated by utilizing operation process data. According to the scheme, equipment isolation evaluation is converted into system coupling evaluation, so that static scheduling is upgraded to closed-loop dynamic control with self-adaption and continuous optimization capabilities, and the overall toughness and operation efficiency of multi-equipment collaborative operation are enhanced.

The invention relates to the technical field of engineering digital management, in particular to an engineering project digital asset management method and management platform. The method comprises the following steps: performing engineering digital asset quality evaluation processing on engineering digital asset data to generate engineering digital asset quality evaluation data; performing engineering digital asset collaborative application heterogeneity feature analysis based on the historical engineering digital asset application data to generate engineering digital asset collaborative application heterogeneity feature data; carrying out the optimal distribution strategy analysis of the full-life-cycle engineering digital asset application on the full-life-cycle engineering digital asset application data through the engineering digital asset collaborative application heterogeneity feature data, and generating a full-life-cycle engineering digital asset application optimal distribution strategy; and based on the engineering digital asset quality data and full-life-cycle engineering digital assets, applying an optimal distribution strategy to execute engineering digital asset intelligent management operation. According to the invention, intelligent operation and maintenance optimization management of engineering project digital assets is realized.

The invention relates to the technical field of industrial digitization and carbon monitoring, in particular to an industrial park carbon emission dynamic monitoring and evaluation system based on digital twinning, which comprises a digital twinning construction module, a carbon emission analog calculation module, a monitoring task configuration module, a data enhancement processing module, a situation fusion generation module and a dynamic evaluation output module. Data are collected through a sensor network to drive digital twinborn evolution, carbon emission space-time distribution is simulated, a hot spot area is identified, a monitoring task of the sensor network is dynamically configured accordingly, and self-adaptive focusing of monitoring resources is achieved. And the system executes the task set to obtain high-resolution data, after enhancement processing, the high-resolution data and a simulation result are subjected to cross-space-time fusion, a carbon emission situation map is generated, and the carbon emission intensity and the change track are evaluated according to the carbon emission situation map. According to the system, dynamic optimization of a monitoring strategy and deep fusion of virtual and real data are realized, and the accurate efficiency of monitoring and the comprehensive accuracy of evaluation are improved.

The invention provides a non-abandoned collection model generation method and system based on a GAN style constraint mechanism, and relates to the technical field of digital protection and display of intangible cultural heritage. According to the method, the generative adversarial network is driven by integrating the user portrait data and the non-missing basic data, the artistic style is accurately controlled in combination with a style constraint mechanism, dynamic scene matching display is realized by utilizing an augmented reality technology, and the method has the advantages of improving non-missing digital modeling efficiency, enhancing user interaction experience and guaranteeing culture inheritance accuracy.

The invention discloses a prediction method and system for determining a safety and stability margin interval of a power grid, and belongs to the technical field. The method comprises the steps of performing preliminary prediction on a power grid safety and stability margin interval based on a hierarchical network model, and obtaining a machine learning prediction result; performing safe, stable and rapid checking on the massive power flow modes of the power grid based on the digital stability regulation to obtain a digital stability regulation checking result; and predicting a safety and stability margin interval of the power grid based on a machine learning prediction result and a digital stability regulation check result. According to the invention, effective prediction of the power grid safety and stability margin interval under high-proportion new energy access is realized.

The invention particularly relates to an exciter virtualization-based airborne application software simulation running environment construction method, which comprises the following steps of: carrying out digital packaging on an operating system interface to realize virtualization running of an embedded real-time operating system; digitally packaging communication interfaces such as a 1553B bus, an ARINC429 bus, discrete magnitude and the like so as to reproduce real avionics communication characteristics in a virtual environment; and simulating a peripheral software and signal interaction process so as to realize virtual generation and response of the multi-source excitation signal. By constructing the simulation running environment, the dynamic test of the airborne embedded software can be carried out under the condition of no real hardware, so that the test sample space is expanded, the test coverage rate and sufficiency are improved, the design and execution efficiency of a dynamic test case is improved, repeated manual operation is reduced, the test cost of the airborne embedded software is reduced, and the test efficiency of the airborne embedded software is improved. The economic benefit is improved.

The invention relates to the technical field of intelligent manufacturing and digital twinning, and discloses an embossed plate production line virtual debugging system based on digital twinning. The system comprises a raw material data acquisition module, a digital twin construction module, an initial virtual debugging module, a physical world trial production module, a production quality analysis module, a deviation analysis module, a compensation adjustment module and a system self-optimization module. The main debugging and optimization work is completed in the virtual space, and a large amount of raw materials, energy and machine hours are saved; a system error between a theoretical model and physical reality can be effectively counteracted through the established compensation mapping model F; the period from product design to stable production is greatly shortened through virtual debugging; the compensation model can be updated online, so that the whole system is always kept near the optimal production state; data and models generated in the debugging and optimizing process are converted into core knowledge assets of an enterprise, and digital inheritance of knowledge is achieved.

The invention relates to the technical field of digital twinning, in particular to a method and a system for digitally producing textile fabrics, comprising virtual design and process simulation, physical production and real-time monitoring, predictive intervention and closed-loop control and knowledge precipitation and tracing. Compared with the defects that in the prior art, product development depends on physical proofing and experience trial and error, the research and development period is long, resource waste is serious, and design change response is slow, the digital twinborn driven high-fidelity virtual simulation scheme is adopted; by constructing a multi-scale model covering fiber-yarn-fabric and a multi-physics field coupling engine, defects such as chromatic aberration and skew weft can be accurately predicted and process parameters can be automatically optimized in the design stage, a traditional textile production mode is upgraded to a data-driven pre-verification mode, the development cycle of a new product is greatly shortened, and the production efficiency is improved. The raw material and energy consumption is obviously reduced, and the quick response capability of the complex customized order is improved.

The invention relates to industrial data management, more particularly belongs to the technical field of industrial internet, and particularly relates to a construction quality management method and system based on a digital power plant, and the method comprises the steps: defining a construction quality acceptance threshold value of the power plant through analyzing a defect generation mode of the power plant in a construction process; determining a key process control period when the power plant reaches a quality acceptance threshold according to the constructed power plant adaptive quality control list; simulating a construction process of executing the self-adaptive quality control list by the power plant, and recording controllable process parameters in the simulation process; establishing a construction quality risk cloud picture of the power plant, and calculating a defect evolution rate corresponding to the construction quality risk cloud picture; and according to the defect evolution rate, generating a dynamic parameter regulation and control strategy set of the adaptive quality management and control list to output a construction quality management result of the power plant. According to the invention, accurate control of construction quality management can be realized, and the construction quality and safety of a power plant are guaranteed.

The invention belongs to the technical field of digital design of Roots blower equipment, and particularly relates to a digital twinning-based dynamic performance digital design method of a blower, which comprises the following steps of: constructing a multi-component parameterized structure model of the blower, establishing a multi-physics field coupling model of pneumatic, structural, thermal, electromagnetic and sound fields, and constructing a digital twinning model of the blower. Dynamic boundary conditions such as flow disturbance, inertia force and base disturbance are loaded, a digital twin model synchronous with a physical fan state is constructed, master-slave type strong coupling joint solution is executed, multi-field response indexes are extracted and normalized analysis is carried out, and finally optimization design parameters of the fan are output through a multi-target optimization feedback mechanism. According to the method, multi-domain balance design among fan structure performance, electromagnetic response, thermal stability and acoustic characteristics can be achieved, modeling precision and parameter optimization capacity are improved, and the method is suitable for digital development of high-reliability roots blower equipment under complex operation conditions.

Disclosed in the present invention are a digital management method, system and device for construction process settlement. By systematically, completely and synchronously summarizing "relevant documentation" for progress payment application and settlement during engineering construction, the efficiency of application of a construction unit and auditing of an auditing party for progress payments and settlement is greatly improved, a significant amount of capital interest costs are saved for the construction unit, and income increase such as profit doubling is realized, thereby having positive economic and social benefits for achieving smooth settlement of various construction projects.

The invention provides a discrete manufacturing production line process decision and optimization method and system based on digital twinning, and relates to the field of production intellectualization and digitalization, and the method mainly comprises the steps: constructing a high-fidelity digital twinning model corresponding to a physical production line through the combination of mechanism modeling and data-driven modeling; establishing a virtual-real consistency evaluation index system, and realizing deviation identification and dynamic consistency maintenance of the digital twinborn model; production disturbance, equipment state change and process deviation information are sensed in real time; a part-process-equipment-quality multi-dimensional correlation model is constructed; an improved stochastic gradient descent algorithm is introduced to carry out dynamic updating and convergence control on intelligent agent strategy network parameters, and a knowledge base self-evolution updating mechanism is constructed; according to the method, dynamic updating and consistency maintaining of the twinborn model are achieved, the dynamic response capability of the digital twinborn model under the dynamic operation condition is remarkably improved, and the systematicness and reusability level of process knowledge are effectively improved.

The invention relates to the technical field of aluminum foil slitting, and discloses an aluminum foil high-precision intelligent slitting method and device based on online tension and rolling diameter cooperative control. The invention aims to solve the problems of belt breakage, notch burrs and winding defects caused by large tension fluctuation, lagging of winding diameter calculation and passive shearing in the existing aluminum foil slitting technology. High-precision digital control of the whole process is achieved, the influence of system disturbance on the ultra-thin aluminum foil is effectively eliminated, and the slitting speed, the notch flatness and the structural stability of a finished coiled material are remarkably improved. The core of the method is that a precise tension model is constructed through laser scanning and inertia identification in the starting stage, and constant tension control under the dynamic rolling diameter is achieved through a double-ring strategy in the operation process; a vacuum adsorption isolation technology is innovatively introduced to cut off tension coupling, and a cutter is matched for overspeed active shearing to optimize the trimming quality; and the rolling end adopts a taper tension and flattening strategy that the rolling diameter and the speed are cooperatively adjusted.

The invention discloses a pattern generation and development integration method for paper-cut cultural and creative products, which comprises the following steps of: performing input acquisition and semantic prompt generation, and constructing a semantic vector by using an NLP (Network Length Polymorphism) and a paper-cut style template; generating a paper-cut style pattern based on the transformed model; extracting a contour and optimizing a structure through algorithms such as edge detection and binarization, and outputting a vector format; matching a text and creation product template, and recommending materials and colors; a user is supported to feed back local modification; the method can solve the problems that traditional paper-cut creation is low in efficiency, difficult to industrialize and the like, and has the technical advantages that creation efficiency and style diversity are improved, non-abandoned paper-cut cultural creation industrialization adaptability is enhanced, cultural inheritance and innovation are promoted, and the method is suitable for digital development and industrial conversion of paper-cut cultural creation products.

The invention discloses a Baijiu asset digital circulation system and method based on a block chain and digital assets. The Baijiu asset digital circulation system comprises a digital identity generation module, a supply chain management module, a supervision traceability module, a transaction circulation module, an anchoring synchronization module and a financial service module. The digital identity generation module is used for generating a unique digital identity identification code for each bottle / box of white spirit; the supply chain management module comprises a production collaboration sub-module, a storage scheduling sub-module, a logistics tracking sub-module, a distribution management and control sub-module, a supervision traceability module, a Baijiu full life cycle data traceability and abnormal transaction early warning and transaction circulation supporting module, and a Baijiu digital asset overall transaction and NFT fragmentation transaction supporting and anchoring synchronization module; the dynamic state synchronization of the Baijiu digital assets and the physical Baijiu is realized through the Internet of Things equipment, and the financial service module dynamically evaluates the loan amount of the Baijiu digital assets based on supply chain data and provides a disposal mechanism of overdue digital assets.

The invention discloses a marketing red envelope digital regulation and control method and system based on a user life cycle value, and relates to the field of marketing red envelope digital regulation and control, and the method comprises the steps: constructing time sequence features through multi-dimensional behavior data, precisely predicting the user life cycle value through employing Temporal Convolutional Network and a time attention mechanism, and carrying out the digital regulation and control of the marketing red envelope. Reasonable allocation of the red envelope quota is realized in combination with a nonlinear excitation function, the marketing resource utilization efficiency and the customer maintenance effect are remarkably improved in cooperation with a value layering and directional putting strategy, and intelligent, precise and dynamic development of marketing is promoted.

The invention discloses a Grasshopper-based complex curved surface curtain wall modeling method, and relates to the technical field of digital design and construction of buildings, and the method comprises the steps: firstly inputting the geometric dimension, load parameters, thermal expansion coefficient, material attributes and environmental parameters of a curtain wall into a parameterization platform at an input end, and generating an original curtain wall model; performing topological optimization and geometric correction on the original curtain wall model through curved surface reconstruction to obtain a reference curtain wall model; performing grid segmentation on the reference curved surface based on a discrete differential geometry method, and calculating the size of a unit plate; constructing a structural system by utilizing a finite element analysis module and a parameterized platform; according to deformation characteristics of glass plates and installation components, parameterization adjustment is conducted on construction nodes to compensate errors, the planarization size of a unit plate and the sectional size of a frame are optimized, construction data are finally output, multi-parameter digital automatic linkage of the complex curved surface curtain wall from design to construction is achieved, and therefore the modeling precision and efficiency of the complex curtain wall are improved.

The invention discloses a digital art exhibition space display interaction method and system based on a VR technology, and relates to the technical field of exhibition man-machine interaction, and the method comprises the steps: carrying out the time sequence alignment processing of a multi-source asynchronous data flow, and constructing an emotional state confidence curve, an interest concentration curve and a cognitive load curve; constructing a user emotion space vector based on the tangential direction of the curve and the instantaneous value; and calculating a difference value between the user emotion state and the exhibit semantic emotion confidence coefficient, and respectively adopting different strategies according to the difference value: when the difference value is large, directly generating display content, and when the difference value is small, judging whether to execute deepening interaction or correct an emotion space vector through an interest maintenance coefficient. Through multi-modal data fusion and dynamic sentiment analysis, the problem that the existing VR exhibition content is static and fixed and cannot adapt to the user state in real time is solved, intelligent content display based on user sentiment change is realized, and the immersion and individuation level of exhibition viewing experience are remarkably improved.

The invention discloses a digital diaphragm wall closed-loop pouring system and construction method.The digital diaphragm wall closed-loop pouring system comprises a concrete supply device, a central integrated control machine and at least one pouring unit electrically connected with the central integrated control machine, and each pouring unit comprises a pouring mechanism, a slurry pumping mechanism and the central integrated control machine; an active pressure pouring technology is adopted, continuous and controllable extra power is provided for concrete flowing through a pressurizing mechanism such as a concrete pump or an air pressure pressurizing system, and a traditional pouring mode purely depending on concrete gravity is replaced. By means of the basic change, the concrete in the guide pipe can actively overcome larger mud static pressure and pipeline resistance, and therefore the technical problems that due to the fact that the burial depth is too large, the concrete cannot flow out smoothly, the pipe is blocked, and even a pile is broken are thoroughly solved.

The invention discloses a multi-modal cultural heritage data set classification optimization method, and aims to solve the problem of low classification precision caused by cross-modal semantic inconsistency and insufficient time sequence characteristic mining of cultural heritage data. According to the method, firstly, multi-modal data are collected and preprocessed, and then each modal feature is extracted through a multi-modal feature extraction network. Thirdly, fusing the features by using a cross-modal semantic consistency module which adopts contrast loss optimization so as to ensure semantic consistency; and meanwhile, modeling is carried out on the time series data through a dynamic time series modeling module. And finally, constructing a total loss function formed by classification loss, cross-modal comparison loss and time sequence prediction loss to optimize the classification model. Through the multi-task joint optimization mode, the accuracy and robustness of classification are remarkably improved, and powerful technical support is provided for digital protection and research of cultural heritage.

The invention discloses a construction installation and intelligent monitoring evaluation method for a cascade energy consumption damper. Comprising the following steps of construction positioning and digital paying-off, intelligent base arrangement and adjustable pre-embedded structure, modular preassembling and on-site rapid hoisting, precise positioning and self-locking temporary fixing, axis correction and sliding mechanism verification, high-strength connection and stress homogenization assembly, intelligent sensing and yield state monitoring system, error adjustment and self-inspection feedback debugging. And preloading test and energy dissipation confirmation, replaceable module and standardized quick release system, green delivery and full-life maintenance are integrated. The construction and installation method has the advantages of clear steps, simple assembly, wide application scene and high intelligent level. The cascade energy consumption damper has an intelligent sensing and self-checking feedback mechanism, not only embodies the originality of the patent technology, but also considers the operability of site construction and the adaptability of multiple scenes, and provides a set of complete and feasible technical scheme for the engineering application of the cascade energy consumption damper.

The invention provides an intelligent digital platform based on cold region highway disaster emergency disposal, and relates to the technical field of cold region highway emergency management. Comprising a cold region highway disaster database and knowledge graph module, an intelligent emergency disposal scheme recommendation module, a dynamic resource allocation module, a data updating and maintenance module, a platform iterative optimization module and a man-machine interaction module. According to the method, by combining the geographical environment and the knowledge graph of the cold region, the recommendation scheme considers the particularity of disasters such as ice and snow, frost heaving and the like, such as snow-melting agent type selection at low temperature, avoiding blind application of a general scheme, improving the disposal accuracy by more than 40%, and by priority ranking and path optimization, the resource arrival time is shortened by 30-50%, resource idling and waste are avoided, and the method is suitable for popularization and application. The emergency cost is reduced by 20%, the efficiency of resource allocation of the platform is improved, and based on user feedback and new technology iteration, the platform can adapt to new disaster types in cold regions, such as road surface frost cracks caused by extreme cold waves, and the practicability is kept for a long time.

The invention relates to the technical field of intangible cultural heritage protection, in particular to an intelligent pattern generation and material adaptation system and method for an intangible cultural heritage technology, and the system comprises a knowledge graph construction module, a hierarchical perception adversarial network module, a material adaptation module, a digital manufacturing module and a virtual prototype module. A knowledge graph containing pattern features, material attributes and association relationships thereof is constructed by collecting non-abandoned process pattern data, intelligent patterns conforming to non-abandoned aesthetics are generated, a material adaptation module analyzes feature parameters of the intelligent patterns and predicts adaptive material parameters, a digital manufacturing module generates a digital manufacturing instruction, and the digital manufacturing instruction is sent to the digital manufacturing module. According to the method, a complete digital link from pattern design to material manufacturing is established, the problem of systematic storage and application of traditional process knowledge is solved, and inheritance and development of non-abandoned processes are promoted.

The invention relates to a digital non-abandoned rural culture display and interaction method and device based on a virtual reality technology, and a medium, and the method comprises the steps: obtaining multi-modal data, carrying out the time-space alignment and feature extraction, and obtaining an action track feature and a time-space correlation feature; generating a fusion feature matrix and constructing a virtual display scene; integrating a dynamic narrative engine in the virtual display scene, and constructing a non-abandoned knowledge graph; interactive behavior information and physiological feedback information are obtained in real time, semantic retrieval and path reasoning are carried out, and a response strategy set is obtained; executing the response strategy set; in conclusion, by obtaining the multi-modal data, carrying out space-time alignment and feature extraction, constructing the virtual scene and the knowledge graph and responding to the user information in real time, an organic association network of non-perpetual cultural elements can be constructed, user interaction behaviors can be responded in real time, technical support is provided for display, interaction and inheritance of non-perpetual cultural, and user experience is improved. And the intelligence and the reliability are improved.