7287results about "Cosmonautic condition simulations" patented technology

The invention discloses a low-voltage transformer area examination meter practical training device and a fault simulation control method, and relates to the technical field of electric power practical training. The device aims at the problems of single scene, extensive evaluation and low skill improvement efficiency in traditional electric power practical training. The meter simulation module is compatible with various meters and is matched with a dual-communication protocol to realize efficient data transmission; the intelligent interaction module provides high-quality interaction experience through a high-definition touch screen and low-delay transmission; the data generation module can quickly switch customized scenes, and the fault simulation module can accurately inject various faults; the training management module depends on advanced technologies of knowledge maps, deep learning and fuzzy comprehensive evaluation to realize full-process closed-loop management from project design and operation guidance to evaluation feedback and intelligent optimization; all the modules cooperate efficiently, and the professionality, the accuracy and the efficiency of power failure troubleshooting and operation and maintenance skill training of trainees are remarkably improved.

The invention provides a cardio-pulmonary resuscitation training system based on multi-modal artificial intelligence in combination with a virtual reality technology, and relates to the technical field of virtual reality, and the system comprises a multi-modal sensing module which is used for collecting posture data, mechanical data and environment data; the multi-source data collaboration module is used for generating an operation quality evaluation parameter set and establishing a mapping relation between the operation posture and the pressing efficiency; the virtual scene construction module is used for generating a virtual first-aid environment according to a preset first-aid scene template and the operation quality evaluation parameter set; the decision module is used for generating a feedback control signal; and the interactive closed-loop execution module is used for inputting the feedback control signal into the virtual first-aid environment and updating the operation quality evaluation parameter set according to the operation data after feedback response. According to the invention, standardized, intelligent and scene-diversified cardiopulmonary resuscitation skill training can be realized, and the technical problems of inaccurate posture evaluation, non-personalized feedback, single scene, high resource dependence and the like in traditional training are solved.

The invention provides a scene reproduction and augmented reality simulation training method for floating installation. The method comprises the following steps: acquiring an external environment and an equipment state in real time; acquiring operation behavior data of the trainee in the training process, performing timestamp matching on the operation behavior data and the dynamic simulation scene, constructing a synchronous model, calculating a key performance index based on the synchronized data to quantify the operation effect of the trainee, and obtaining an operation performance record; when it is detected that the student fails to operate, a failure scene of the student is reconstructed based on currently collected operation behavior data and a dynamic simulation scene, and a failure path is analyzed by using a reinforcement learning model; generating an optimized floating track and an optimized posture adjustment path according to the failure scene of the reconstructed student and the optimization suggestion; and the trainee completes the floating support installation operation according to the optimized path displayed by the augmented reality equipment. According to the invention, the efficiency and effect of floating support installation training can be greatly improved, and a more efficient and intelligent solution is provided for the ocean engineering field.

The invention discloses an acute and critical disease nursing training system and method based on vr, and relates to the technical field of medical systems. A learning mode and an assessment mode are selected through a handle trigger; in the learning mode, the nursing operation process is dynamically displayed through vr glasses and a scene generation engine, and the scene generation engine constructs a disease evolution path based on a knowledge graph and associates user historical data to match personalized teaching cases; receiving a selection instruction of a user for an assessment item in the assessment mode, receiving an operation instruction of the user at the same time, recording time sequence data of an operation path and selecting a behavior logic chain; generating a score according to a dynamic scoring algorithm including an operation track accuracy parameter and a decision timeliness parameter; the user is personally on the scene to carry out nursing training and examination on acute and critical diseases, and trial and error in a highly-simulated critical scene are carried out; a targeted training scene is intelligently pushed according to the specialty and ability of the user; and the speed and quality of acute and critical disease nursing are balanced through multi-dimensional scoring.

The invention discloses a 500kV standardized switching operation method based on a VR virtual reality technology, and aims to solve the problems of unreal environment, incomplete evaluation and low efficiency in the switching operation training of an existing 500kV transformer substation. The method comprises the following steps: constructing a full-immersive virtual reality scene, collecting actual environment data of a transformer substation, and constructing and optimizing a high-precision model; designing multi-modal interaction of the standardized switching operation process, wherein the multi-modal interaction comprises visual guidance, a multi-modal interaction interface and an intelligent sensing function; dynamic action scoring and intelligent behavior evaluation are realized, actions are captured in real time by using high-precision action capture equipment, an instant score is generated by comparing with a standard, and dynamic feedback is provided; and real-time optimization and learning migration of the virtual character model are realized, user operation habits are captured, virtual character actions are optimized, and multi-scene migration and adaptation are realized. The method is suitable for VR-based 500kV standardized switching operation work, and the training authenticity and efficiency are improved.

The invention provides a PICC puncture virtual simulation training system and method constructed based on XR. A nursing skill simulation training platform and an intelligent training room based on augmented reality (XR) combine a simulation medical technology, an artificial intelligence large model, XR intelligent hardware, intelligent agent application, space calculation, computer vision and a mainstream technology of Internet of Things in scheme planning and design. According to the PICC puncture virtual simulation training platform, the ground practice, standardization, high virtual simulation and adaptive application of PICC puncture virtual simulation training are realized, and the intelligent development process and teaching concept of PICC puncture teaching are improved. According to the PICC puncture teaching system, intelligent virtual tutors, puncture teaching holographic three-dimensional sharing, virtual reality fusion technologies and the like are provided, an interactive teaching mode can be brought to PICC puncture teaching, the interest of students in teaching and clear operation guidance are improved, the theory and practice are fused, and the clinical cooperation ability is improved.

The invention provides an interactive simulation teaching processing method and device for ship electromechanical guarantee, and relates to the technical field of interactive simulation teaching, and the method comprises the steps: building a ship electromechanical full-structure model in a virtual simulation platform, digitally mapping real equipment operation parameters into virtual parts with real-time response characteristics, and carrying out the real-time simulation of the virtual parts; synchronous acquisition and normalized calibration of operation instructions, equipment feedback and environment disturbance in a teaching scene are realized, and a unified teaching simulation data set is generated. State recognition, fault simulation and operation evaluation calculation are completed through multi-layer task scheduling, and real-time teaching feedback is generated and visually displayed on a terminal. Based on difference analysis of dynamic evaluation data and a standard operation template, operation deviation and abnormity are automatically identified, and a targeted guide prompt is generated. According to the invention, unified modeling and data linkage can be carried out on student operation behaviors, equipment dynamic responses and teaching feedback results, and the problems of teaching feedback lagging and lack of pertinence in operation correction are solved.

The invention provides an intelligent driving system and method and electronic equipment, relates to the technical field of intelligent driving, and realizes personalized improvement of driver ability and safety guarantee of a driving environment through three cooperative mechanisms including a teaching strategy module, a safety perception module and a behavior management module. Analyzing the multi-dimensional student data through a teaching strategy module by using a multi-modal large language model, and generating a personalized teaching strategy adaptive to the ability of the student; a driving environment is monitored through a safety sensing module, when a specific complex scene is detected, a multi-source heterogeneous sensor data fusion strategy is adjusted according to a scene type and a preset intervention degree, and then a safety coping strategy matched with environment interference is generated; the driving behavior data are recognized through the behavior management module, and multi-mode interaction feedback is generated in combination with the physiological data and the state data of the driver and used for guiding and correcting the driving behavior.

The invention provides a CT guided liver puncture training method and system based on virtual reality, and relates to the technical field of virtual reality. A deformable liver model and a virtual CT reconstruction engine under respiration driving are constructed, needle body posture mapping and image fusion display are achieved by fusing an inertia-electromagnetic dual-mode sensor, path interaction control, tissue dynamic response and score feedback are supported, the scene difficulty is automatically adjusted based on a training result, and the accuracy and the reliability of the system are improved. Progressive puncture skill training of static breath-holding, shallow breath and free breath scenes is achieved, the sense of reality of training, operation feedback and teaching efficiency are improved, and the system is suitable for development and clinical teaching application of an interventional therapy training system under the guidance of medical images.

The invention provides a medical skill assessment and training method and device based on a virtual patient, and relates to the technical field of digital computation.The method comprises the steps that image data, pathological data and physiological signal data corresponding to historical patients are obtained, and a virtual patient three-dimensional model is generated; performing multi-scale feature coding on the operation track, the instrument contact pressure and the biological tissue deformation parameter corresponding to the historical operation data of the target user to generate an operation feature vector with time sequence relevance; inputting the operation feature vector into a virtual patient three-dimensional model, and obtaining a physiological parameter change sequence corresponding to the operation feature vector; performing conjoint analysis on the operation feature vector and the physiological parameter change sequence to obtain an evaluation index matrix; generating an adaptive training scene according to the evaluation index matrix; the adaptive training scene comprises complication simulation information, abnormal sign triggering information and emergency state intervention information, so as to train the target user according to the mixed reality interaction equipment.

The invention provides an electrical integration comprehensive training method and system based on digital twinning, and relates to the technical field of digital twinning, and the method comprises the steps: building a digital twinning model of electrical integration equipment, updating operation parameters in real time, generating a simulation module, and setting a plurality of training scenes to correspond to different fault types. Historical fault data are analyzed by using a deep learning algorithm, fault features are extracted and implanted into a scene, and the training effect is improved. The state response is performed through the training instruction, the training process is evaluated based on the scoring rule, and the promotion suggestion is automatically generated, so that the fault judgment and maintenance efficiency of students is effectively improved.

The invention belongs to the technical field of new energy automobile teaching, and particularly relates to a VR interactive new energy automobile high-voltage electrical principle teaching method, system and equipment, and the method comprises the steps: obtaining the physical parameter data and dynamic circuit simulation data of a new energy automobile high-voltage electrical system; constructing a high-precision 3D model according to the physical parameter data, inputting dynamic circuit simulation data into the model, and generating interactive principle annotations and particle effect animations; based on a gesture recognition model and a new energy automobile VR interaction technology, circuit state changes in the particle effect animation are obtained, a new energy automobile high-voltage system principle and a signal flow are displayed, a practical operation simulation training scene is constructed, student operation data are recorded according to the practical operation simulation training scene, an AI evaluation model is trained, and an evaluation report is obtained. And adjusting interaction feedback parameters of the training scene, and meanwhile, generating a personalized learning report of the trainee. Therefore, the problems of safety risk, teaching lag, abstraction obstacle and the like in the prior art are solved.

The present disclosure relates to processing data streams from a surgical procedure using multiple interconnected data structures to generate and / or continuously update an electronic output. Each surgical data structure is used to determine a current node associated with a characteristic of a surgical procedure and present relevant metadata associated with the surgical procedure. Each surgical data structure includes at least one node interconnected to one or more nodes of another data structure. The interconnected nodes between one or more data structures includes relational metadata associated with the surgical procedure.

The invention discloses a pump station maintenance-oriented dismounting path practical training method and system, and relates to the technical field of pump station dismounting. The method comprises the following steps: constructing a virtual-real simulation environment of pump station equipment, carrying out dynamic dismounting monitoring identification on pump station parts in the pump station equipment based on the virtual-real simulation environment, and determining a dismounting path; the method comprises the following steps: acquiring operation track data of a training person in real time through a motion capture device, obtaining a somatosensory interaction motion signal, mapping the somatosensory interaction motion signal to a virtual-real simulation environment for disassembly and assembly analysis, and generating a disassembly and assembly motion deviation parameter set; and performing dynamic optimization based on the disassembly and assembly action deviation parameter set in combination with disassembly and assembly multi-dimensional feedback data, generating multi-stage practical training difficulty, performing adaptation on practical training personnel according to a disassembly and assembly path according to the multi-stage practical training difficulty, and determining a multi-stage practical training scheme. The technical problems that in the prior art, pump station maintenance dismounting practical training lacks real scene simulation, and efficient skill training is difficult to achieve are solved, and the technical effect of improving the practical training effect is achieved.

The invention discloses a road roller construction quality real-time monitoring system based on digital twinning, and relates to the technical field of road roller construction intelligent monitoring, and the road roller construction quality real-time monitoring system comprises a data acquisition module which uses a multi-modal fusion sensor network and edge calculation to comprehensively acquire and preprocess data; the digital twinborn model building module is used for modeling by combining physical-data dual drive with geological characteristics; the data transmission module is used for ensuring efficient and safe transmission by using a software defined network and a block chain; the real-time monitoring and analysis module is used for carrying out multi-scale space-time correlation analysis and generating virtual data; and the decision support module fuses deep reinforcement learning and a knowledge graph, supports man-machine cooperation decision, and provides intelligent suggestions for construction. According to the invention, the advantages are obvious, multi-modal acquisition and edge calculation ensure accurate and real-time data, a dual-drive model truly simulates construction, an advanced transmission technology ensures data safety, multi-scale analysis comprehensively evaluates quality, full-process coverage improves construction quality and management intelligence, and cost reduction and efficiency improvement are realized.

The invention discloses a Multi-agent-based psychological counseling platform and method. The counseling platform comprises an evaluation agent used for dynamically extracting psychological features based on dialogue behaviors of a visitor agent and updating results to a traits library module; the planning agent is used for constructing a personalized psychological counseling scheme based on the traits library module and dynamically adjusting a counseling process and a strategy according to counseling feedback; the consultant agent is used for carrying out dialogue interaction with the visitor agent according to the personalized consultation scheme and implementing emotion pacification and psychological intervention; the visitor agent is used for expressing psychological troubles, feeding back psychological state changes and promoting the consultation process; the historical dialogue long and short-term memory module is used for storing multiple rounds of psychological counseling interaction contents and comprises historical dialogue short-term memory and historical dialogue long-term memory; and the dynamic probability memory retrieval module is used for generating probability distribution based on the current consultation context and dynamically calling memory nodes from the historical dialogue long and short term memory module or the traits library module.

The invention relates to the technical field of flight simulation training facilities, in particular to a mixed reality flight training motion simulation system for virtually constructing a scene, which comprises a cabin module, a mixed reality imaging module, a six-degree-of-freedom motion platform module and an environment perception and calculation center module, according to the system, through the design of the full-size flight control assembly and the multi-mode sensing unit, a highly real control environment is provided for a pilot. In the real-time training process, the system simulates a real flight fault environment through the fault injection module, randomly sets fault events such as engine failure, modifies kinetic model parameters in real time, and trains the emergency processing capability of a pilot. Meanwhile, the self-adaptive difficulty regulation and control system dynamically adjusts PID gains based on an accumulated value of operation errors of the trainees, and a training environment with higher adaptability is provided.

The invention discloses a disaster emergency rescue nursing skill training system based on virtual reality, and relates to the technical field of virtual reality. A high-simulation virtual disaster scene is constructed based on real data, diversified injury condition virtual objects matched with the scene are generated, a secondary disaster risk diffusion effect and emergency prompt information are overlaid in real time, physiological state changes such as blood pressure and respiration generated by nursing operation differences in the rescue process of wounded personnel are dynamically simulated, and the rescue effect of the wounded personnel is improved. The problems of single scene and fixed injury condition in traditional training are solved, real-time and multi-modal feedback of student operation is realized through accurate comparison and hierarchical identification of multi-dimensional operation characteristics, the defects of guidance lagging and general are overcome, a personalized and adaptive training scheme is generated according to a comprehensive evaluation result, the progress is dynamically adjusted, and the training efficiency is improved. And scene simulation, operation practice, accurate feedback and personalized improvement are integrated.

The invention provides a human-computer interaction virtual-real simulation method and system of an intestinal nutrition nursing teaching system, and relates to the technical field of virtual interaction teaching. By integrating a force feedback glove, a bioelectric sensor and a pressure detector, multi-mode interaction data acquisition including intubation angle deviation, maximum force application pressure value and step interval time is realized; the operation feedback dimension and immersion are improved; the system is combined with a scene construction and intelligent guide module, when the detection operation goodness of fit is lower than a preset threshold value or the process completion degree is insufficient, force feedback vector correction and cognitive prompt are triggered, and standard attitude and step memory are guided; and the comprehensive evaluation module summarizes key indexes to calculate a total operation score, performs defect positioning and training suggestion matching on low-score behaviors, generates a structured visual learning report, constructs a cognition-operation-feedback closed loop, and solves the problems of single interactive feedback, insufficient teaching structuralization and lack of feedback mechanisms.

A space robot ground microgravity crawling test system is characterized in that the lower end of an outer frame is fixed on the ground, the upper end of the outer frame is provided with an X / Z-axis gravity compensation module and a Y-axis gravity compensation module, the upper surface of a centroid following module is fixedly connected with a suspension rope in the X / Z-axis gravity compensation module through a tension sensor, and the lower surface of the centroid following module is fixedly connected with a space crawling robot through a universal joint and a spherical hinge; the space crawling robot conducts a space microgravity crawling test on the target simulator, the target simulator is placed on the ground through universal wheels, and when the robot crawl, the target simulator moves in an X / Y mode and rotates around the Z axis under the counter-acting force, so that three-degree-of-freedom space microgravity simulation conditions are provided. Meanwhile, the X / Z-axis gravity compensation module and the Y-axis gravity compensation module can realize micro-gravity compensation autonomous following of the space crawling robot in the X / Y / Z directions, and the mass center following module can realize that the mass center of the robot is always on a suspension point extension line when the posture and the configuration of the robot are changed.

The invention discloses an intelligent scene type CPR visual training system based on an MR technology, which belongs to the technical field of non-special measurement for specific variables and comprises a training request sensing module, an intelligent scene automatic generation module, a sensing data acquisition module, a visual display and voice prompt module and a network performance evaluation management and control module. According to the method, the performance parameters of the sensing source nodes built in the simulation human body model are acquired and analyzed in real time, so that the data feedback precision in the training process is improved, and the data feedback precision in the training process is further improved; the problem of poor CPR visual training experience caused by lack of real-time performance monitoring and feedback mechanisms in the prior art is effectively solved.

The invention, which relates to the technical field of aviation training and simulation, discloses a virtual low-altitude air traffic controller AI model training system comprising a data acquisition and preprocessing module, an AI core model module and a communication and interaction module. The data acquisition and preprocessing module is used for collecting data from a simulated low-altitude radar, low-altitude weather, low-altitude geographic information and a low-altitude flight plan data source, and performing cleaning, denoising, format conversion and integration processing on the data to generate preprocessed data used by the AI core model. According to the virtual low-altitude air traffic controller AI model training system provided by the invention, the effect and quality of low-altitude flight training of a pilot are remarkably improved, and the pilot can perform a large amount of practical operation and emergency treatment training in a safe environment by simulating various real low-altitude flight scenes and complex conditions; the coping ability of the system to low-altitude flight rules, control programs and various complex conditions is enhanced, the training period is shortened, and the training cost is reduced.

The invention relates to the field of medical informatization, in particular to a multifunctional acupuncture point training simulation system and an application method thereof. Simulation tissue, force feedback, an acupoint simulation database and an intelligent evaluation technology are fused, and a vivid acupuncture training environment is created. The system simulates human tissues layer by layer, accurately collects acupuncture pressure and resistance, feeds back force feeling in real time, intelligently evaluates acupuncture performance in combination with acupuncture point characteristic data, and generates a detailed evaluation report. The virtual reality display module visually displays the acupuncture process and provides all-around feedback information. According to the innovative design, the acupuncture training effect and efficiency are remarkably improved, a safe and efficient learning platform is created for students, the modernization and standardization process of acupuncture education is promoted, and new power is injected for traditional medical inheritance and development.

The invention discloses a three-dimensional scene reconstruction method, a method for intelligent driving analog simulation, computer equipment, a storage medium and a program product. The three-dimensional scene reconstruction method comprises the steps that an earth space is divided into a plurality of blocks, and the earth space comprises a spherical space in a preset range above the earth surface; acquiring scene data of the earth space for three-dimensional reconstruction to obtain a three-dimensional reconstruction result, the three-dimensional reconstruction result comprising a reconstruction model and reconstruction model information; and dividing the reconstruction model into corresponding blocks according to the reconstruction model information. According to the embodiment of the invention, the spherical space in the preset range above the earth surface is divided into the plurality of blocks, the three-dimensional reconstruction is carried out according to the acquired scene data in the spherical space to obtain the plurality of reconstruction models, and finally the plurality of reconstruction models obtained by reconstruction are distributed and stored in the corresponding blocks of the spherical space according to the reconstruction model information. And unified management of a plurality of reconstruction models is realized.

The invention provides a production and teaching cooperation practical training method and system based on digital twinning, and the method comprises the steps: firstly obtaining a real-time operation data set of industrial equipment and a practical training case data set of a production and teaching cooperation knowledge base, and then constructing the digital twinning of the industrial equipment based on the real-time operation data; the method comprises the following steps: analyzing training case data by using a large language model to generate a multi-modal training interaction feature set, performing collaborative feature mapping on a digital twin and the interaction feature set to obtain a virtual-real fusion training scene feature set, and dynamically optimizing the virtual-real fusion training scene feature set through a preset training strategy generation model to obtain a virtual-real fusion training scene feature set. According to the method and the system, a personalized production and teaching collaborative practical training scheme is generated, finally, the personalized production and teaching collaborative practical training scheme is deployed to digital twinborn triggering real-time interactive training, and a production and teaching collaborative knowledge base is updated according to operation feedback data of trainees, so that efficient and personalized production and teaching collaborative practical training is realized, and the practical training effect is improved.

A training method and system based on VR visual simulation for a new aerial vehicle. A VR display system is combined with real flight. An aerial vehicle as a real aerial vehicle flies in a relatively safe state, such as hovering or moving at a low speed. At the same time, a pilot wears a virtual display device such as VR glasses in the VR display system, and a corresponding flying state after the pilot performs an operation is displayed by means of the VR display system. The flying state of the aerial vehicle does not respond completely in accordance with the operation of the pilot, in order to simulate flying states involving a relatively high risk, e.g., scenarios such as a relatively high altitude and a relatively high speed. Thus, a real environmental state is achieved to provide a pilot with a real hovering experience, and the flight training of the pilot is also completed under a relatively safe condition.

The invention relates to the field of training simulation, and discloses a public security AI-driven data generation type investigation teaching practical training system, which comprises the following modules: a case dynamic generation module, which is used for receiving original data of a public security case database, generating a logically closed virtual case through tensor decomposition, and sending the virtual case to the public security case database; transmitting the generated case data to a multi-modal virtual-real fusion training module; and the multi-modal virtual-real fusion training module is used for receiving the virtual case data, realizing interactive training of multi-modal clues through a mixed reality technology, dynamically injecting interference clues, and transmitting student operation data to the causal reinforcement learning evaluation module. Through the collaborative technical scheme of tensor decomposition and nonlinear constraint optimization, the integrity and space-time consistency generation of the virtual case evidence chain is realized, and compared with a traditional case generation method based on a fixed template, the problem of contradiction between material evidence association fracture and behavior logic is effectively solved.

The invention discloses an ability evaluation method and system applied to an enhanced closed scene in intelligent driving training. A super-realistic simulation environment is constructed, a physical engine and high-precision modeling are utilized, a dynamic weather system and a user-defined scene editor are integrated, and diversified realistic scenes are provided; multi-dimensional data acquisition and preprocessing are carried out, traditional operation and biological characteristic data are combined, and support is provided for risk assessment through cleaning and characteristic extraction; a reinforcement learning risk assessment model is constructed, and the driving behavior risk is assessed in real time; safety response and personalized teaching are realized, and teaching is intervened and adjusted in real time according to a risk assessment result. Through environment simulation, data processing, model evaluation, safety and teaching effect evaluation and the like, the driving skill of trainees can be comprehensively improved, driving practice safety is guaranteed, a personalized learning path is provided, an efficient, safe and personalized solution is brought to the intelligent driving training industry, and the method has wide application prospects and remarkable technical innovation value.

The invention discloses an interactive control method for virtual simulation training of electric power operation and maintenance, and particularly relates to the technical field of electric power operation and maintenance simulation, which comprises the following steps of: acquiring operation behavior data of students, performing real-time capability grading on the students by utilizing a multi-dimensional capability evaluation model, and performing real-time capability grading on the students; a difference adaptation parameter model is constructed in combination with the difference between the virtual device and the target actual device, training content with corresponding difficulty is matched from a preset training task library, a knowledge graph of students is constructed, and a personalized training path is generated through a path recommendation engine. Iteratively updating the training difficulty and the recommended path according to the newly generated behavior data and the performance of the trainee in the aspect of the difference adaptive capacity, constructing a difference adaptive parameter model, bringing the difference into a training task adjustment and capacity evaluation mechanism, dynamically adjusting the training task parameters to fit the actual equipment complexity, and evaluating the performance of the trainee in the aspect of the difference adaptive capacity. And a migration barrier between virtual training and real operation and maintenance is broken through.

The invention relates to the technical field of flight training, in particular to a flight training system. The flight joystick receives operation action data input by a target user based on a preset training instruction; the button control table receives button action data input by a target user based on a preset training instruction; the electronic equipment receives parameter setting data which is input by a target user based on a preset training instruction and is used for setting flight parameters; the multi-axis gravity seat performs six-degree-of-freedom movement based on the operation action data, the button action data and the parameter setting data so as to simulate the flight attitude of the aircraft; and the electronic equipment generates a target virtual driving scene based on the operation action data, the button action data and the parameter setting data, and controls the dynamic scene display equipment to display the target virtual driving scene. The target virtual driving scene is combined with the actual operation process. And the training effect is improved in the flight training process.