39 results about "Motion simulator" patented technology

The invention discloses an unmanned aerial vehicle automatic test method, which comprises the steps of building a high-fidelity semi-physical simulation platform which comprises an unmanned aerial vehicle motion simulator, a three-dimensional environment simulator, a flight control module and a ground control station, and loading a complete machine fault model and a dynamic environment model; designing an intelligent multi-fault injection scheme, and defining a single fault scene, a combined fault scene and a fault evolution scheme; configuring a dynamic environment simulation scene including static environment parameters, dynamic environment elements and environment, and a fault interaction scene; executing a self-adaptive test process, automatically generating a test case, intelligently scheduling a test sequence and dynamically adjusting test parameters; and performing multi-source data intelligent analysis and evaluation, collecting test data, performing fusion analysis on fault influence, and generating an evaluation report. By constructing a whole machine fault and dynamic environment model, the scene authenticity is improved by 40%, and for example, the motor fault yaw deviation under strong wind is closer to a real machine compared with a traditional method.

The invention discloses a method, a system, equipment and a medium for constructing an integrated digital model of a full-motion analog machine, and belongs to the field of analog machines. The method is suitable for constructing the digital model based on the unstructured heterogeneous data, and obtains the structured text information set from the document through the named entity recognition and relation extraction technology by obtaining the three-dimensional geometric model and the unstructured technical document of the full-motion simulator. And a three-dimensional model is combined to jointly construct a heterogeneous knowledge graph containing two types of nodes representing technical entities and three-dimensional parts. And link prediction is performed on the graph by using a graph neural network, so that a target edge representing deep implicit association between the text information and the three-dimensional part can be inferred. The target edges are updated to the atlas, and all complete technical information associated with the parts is bound to the corresponding three-dimensional geometric model, so that an all-moving simulator integrated digital model with complete information is generated, and the digital model construction efficiency and the model information association degree can be improved.

The invention discloses a vocal cord problem recognition and feedback system for the ophthalmology and otorhinolaryngology department. The vocal cord problem recognition and feedback system comprises a sound collection module, an image collection module, a biological feedback module, a data processing module, an AI diagnosis module and a rehabilitation guidance module. The sound acquisition module comprises a microphone array and a self-adaptive noise reduction unit; the image acquisition module is provided with an endoscope camera and an image enhancement processor; the biological feedback module integrates a laryngeal myoelectricity sensor and a three-dimensional motion simulator; the data processing module executes multi-modal feature extraction and fusion; through mutual cooperation of the sound acquisition module, the image acquisition module, the biological feedback module and the data processing module, data can be accurately acquired, the early canceration detection rate is improved and the misdiagnosis rate is reduced through multi-modal fusion, the data acquired by the multi-modal structure is analyzed through the data processing module, the model is combined with a weekly updated disease map, and the early canceration detection rate is improved. And the recurrence prediction accuracy is improved.

A motion simulator system is disclosed that includes a freely rotatable movable frame supported by, but unattached to, a hemispherical base. The movable frame comprises a spherical enclosure constructed from rigid, lightweight materials such as composite materials or interlocking panels, providing unlimited 360-degree rotation in all three rotational degrees of freedom (pitch, roll, and yaw). An internal actuator system coupled to the movable frame controls attitude positioning while the center of rotation remains substantially fixed relative to the base. Low friction engagement between the movable frame and base is achieved through transfer bearings integrated into the base's outer surface or by pressure-vented air cushions. The system enables smooth, continuous rotation of the untethered movable frame for enhanced motion simulation applications.

The invention relates to the technical field of dynamic decision making and real-time interaction, provides a full-motion simulator TCAS simulation method and system based on dynamic decision making and real-time interaction, and solves the problem of low accuracy of flight conflict dynamic prediction and avoidance decision making. The method comprises the following steps: acquiring position coordinates, movement speeds and direction angles of a plurality of flight targets in a three-dimensional airspace; discretizing the three-dimensional airspace into dynamically updated grid units based on the position coordinates, and calculating the risk potential energy value of each grid unit according to the movement speed and the direction angle; in the simulation process, according to the risk potential energy value, dynamically predicting a conflict occurrence probability value in a future set time period through a Monte Carlo algorithm, and generating an avoidance instruction set; after simulation is finished, according to the avoiding instruction set, a conflict report is generated in the real-time interaction display interface, and the conflict report comprises the number of conflicts, the avoiding success rate and the pilot response time. According to the invention, the accuracy of flight conflict dynamic prediction and avoidance decision in a high-density airspace is improved.

The present invention belongs to the field of data processing technology and relates to a QAR data preprocessing method and system based on simulator backdrive. The method aims to address the problems of poor data quality, insufficient parameter coverage, and weak dynamic adaptability encountered in traditional methods. The method comprises: collecting raw QAR data, calculating initial credibility, and screening key parameters; utilizing key parameters to backdrive a full-motion simulator, combining deep reinforcement learning to optimize a PID controller and Monte Carlo simulation to obtain response data; constructing numerical, temporal, and physical three-dimensional difference features based on the raw QAR data and response data, and determining rationality through Gaussian mixture modeling and Bayesian decision making; fusing data based on rational functions and information entropy dynamic weights, optimizing iterative parameters with multiple objectives, and outputting verified high-precision QAR data that meets aviation standards. The present invention obtains full calibration data through a QAR key parameter backdrive simulator, enabling multi-dimensional and precise identification of data anomalies.

The invention belongs to the technical field of data processing, relates to a QAR data preprocessing method and system based on analog machine reverse drive, and aims at solving the problems that a traditional method is poor in data quality, insufficient in parameter coverage and weak in dynamic adaptability. The method comprises the steps of collecting original QAR data, calculating initial credibility and screening key parameters; the key parameters are used for reversely driving the full-motion simulator, and response data are obtained by combining a deep reinforcement learning optimization PID controller and Monte Carlo simulation; on the basis of original QAR data and response data, numerical value, time sequence and physical three-dimensional difference characteristics are constructed, and reasonability is judged by means of Gaussian mixture modeling and Bayesian decision; and based on the rational function and information entropy dynamic weight fusion data and multi-objective optimization iteration parameters, high-precision QAR data conforming to the aviation standard is output through verification. According to the invention, full-amount calibration data is obtained through the QAR key parameter reverse drive simulator, and multi-dimensional accurate identification of data exception is realized.

The invention belongs to the field of flight simulators, particularly relates to a data acquisition and diagnosis method and equipment of a full-motion simulator and a storage medium, and aims to solve the problem that in the prior art, an effective means is lacked in the aspects of data acquisition and fault processing. The method comprises the following steps: acquiring node information of each data node; determining a weight value of each data node according to the node information, and performing data acquisition on each data node according to the weight value to obtain target data; inputting the target data into a pre-trained neural network for prediction to obtain a prediction result; and determining a fault node in the plurality of data nodes according to the prediction result, performing fault diagnosis on the fault node by using a preset knowledge base, and determining a fault diagnosis strategy corresponding to the fault node. Based on the method provided by the invention, in combination with weight calculation and neural network prediction, differentiated data acquisition and active diagnosis of fault nodes are realized.

The invention relates to the technical field of environment control and multi-system cooperative linkage of flight simulation training equipment, provides a full-motion simulator environment intelligent joint control method, system and equipment and a storage medium, and solves the problems of low intelligent level and poor emergency response efficiency of multi-system cooperative control. The method comprises the following steps: acquiring operation data and basic environment parameters of each subsystem in an environment joint control system in real time through a multi-dimensional environment sensing network, carrying out fusion and state analysis, and identifying security abnormity, smoke simulation triggering or subsystem faults; when the abnormal signal is recognized, generating a corresponding linkage control instruction by using a logic control algorithm, and issuing the instruction to external systems such as a power supply, a gallery bridge, a movement system, a fire alarm system and the like and an IOS teacher platform through a cross-system joint control mechanism; the system receives an external feedback signal in real time, dynamically adjusts a cooperative control strategy, and constructs a closed-loop intelligent joint control system. According to the invention, the intelligent level and the emergency response efficiency of multi-system cooperative control are improved.

The present invention discloses a cross-physics-field model test device and test method for floating wind turbines, relating to the field of offshore wind power engineering technology. The device comprises a water tank test subsystem, a wind tunnel test subsystem, and a real-time interactive system. The water tank test subsystem comprises an aerodynamic load reproducer and a tower-floating body-mooring physical model; the wind tunnel test subsystem comprises a floating body motion simulator and a wind rotor-tower physical model; and the real-time interactive system is capable of controlling the motion of the aerodynamic load reproducer and the floating body motion simulator. The present invention simultaneously utilizes multifunctional wind tunnel and marine engineering water tank test conditions to reproduce the floating body motion characteristics and the aerodynamic characteristics of the wind turbine in real time. By dividing the floating wind turbine system into two test subsystems, the problem of the inability to simultaneously match the aerodynamic similarity criteria and the hydrodynamic similarity criteria in scaled model tests is avoided, thereby improving the accuracy and reliability of integrated floating wind turbine model tests.

The invention provides a rope-driven parallel mechanism configuration optimization method for adjusting the position of a tail end connection point, and the method comprises the steps: determining a plurality of rope-driven parallel mechanism configurations meeting constraint conditions based on the installation space needed by a target motion simulator, the shape and load of a tail end actuator, and the motion freedom degree and target motion range of the tail end actuator; respectively calculating a force closed working space of each configuration and screening out at least two to-be-selected configurations; respectively calculating a force helix feasible working space and an attitude rotation range of each to-be-selected configuration; respectively comparing the attitude rotation range of each to-be-selected configuration with the target motion range, and determining whether the to-be-selected configuration is a basic target configuration or not; on the basis of the selected basic target configuration, traversing and calculating a force spiral feasible working space when different connection positions on the rope and the end effector are fixed; and determining a rope connection point on the end effector according to the position and posture number distribution relationship between the connection position and the force spiral feasible working space. And the optimal configuration meeting the requirements is obtained.

The invention discloses a method, a system and equipment for troubleshooting a communication terminal of an all-moving simulator, and belongs to the technical field of aviation simulation equipment fault diagnosis. The method comprises the following steps: acquiring data of a communication terminal operation state, an input / output system state and a central control console environment state, synchronizing time, and constructing a time sequence feature vector through denoising normalization processing; inputting a Kalman filtering state space model to calculate an observation residual error, and distinguishing a fault source and interference characteristics; identifying a fault type by using an integrated decision tree classification model, positioning a target fault point in combination with a fault tree and a Bayesian network, and matching historical cases to generate a troubleshooting scheme; after troubleshooting is completed, the fault case library is updated, and the model is optimized. According to the scheme, intelligent and standardized troubleshooting of faults is achieved, the problems that a traditional method is low in efficiency and poor in accuracy, and fault sources are difficult to distinguish are solved, the troubleshooting efficiency and accuracy are greatly improved, the operation and maintenance cost is reduced, and stable operation of the full-motion simulator is guaranteed.

The invention belongs to the field of machine life prediction, and particularly relates to a full-motion simulator projector life prediction method, system and device. The invention aims to solve the problems of neglect of early signals and static acquisition strategy in the prior art. The method comprises the following steps: starting a dark field mode and dividing regions to collect multi-dimensional operation parameters; calculating the brightness, the color change rate and the transmission delay deviation rate; dynamically adjusting an abnormal threshold value according to the equipment working duration, the historical fluctuation and the environmental stability; through multi-condition joint triggering judgment, the collection frequency of the key area is adjusted in a self-adaptive mode; and after extracting regional and global degradation characteristics, inputting the regional and global degradation characteristics into an LSTM neural network model with an attention mechanism to realize high-precision residual life prediction. The method effectively overcomes the defects that early aging signals are neglected and the collection strategy is static and rigid in the prior art, and remarkably improves the early fault recognition capability and prediction precision.

A motion simulator system is disclosed that includes a freely rotatable movable frame supported by, but unattached to, a hemispherical base. The movable frame comprises a spherical enclosure constructed from rigid, lightweight materials such as composite materials or interlocking panels, providing unlimited 360-degree rotation in all three rotational degrees of freedom (pitch, roll, and yaw). An internal actuator system coupled to the movable frame controls attitude positioning while the center of rotation remains substantially fixed relative to the base. Low friction engagement between the movable frame and base is achieved through transfer bearings integrated into the base's outer surface or by pressure-vented air cushions. The system enables smooth, continuous rotation of the untethered movable frame for enhanced motion simulation applications.

The present application discloses a method, system, device and medium for constructing an integrated digital model of a full-motion simulator, which belongs to the field of simulators. The present application is applicable to constructing digital models based on unstructured heterogeneous data, by obtaining the three-dimensional geometric model and unstructured technical documents of the full-motion simulator, obtaining a structured text information set from the document through named entity recognition and relationship extraction technology, and jointly constructing a heterogeneous knowledge graph containing two types of nodes representing technical entities and three-dimensional parts in combination with the three-dimensional model. The graph neural network is used to perform link prediction on the graph to infer the target edges representing the deep implicit association between the text information and the three-dimensional parts. These target edges are updated to the graph, and all the complete technical information associated with the parts is bound to the corresponding three-dimensional geometric model to generate an information-complete integrated digital model of the full-motion simulator, which can improve the efficiency of digital model construction and the correlation of model information.

A motion simulator system is disclosed that includes a freely rotatable movable frame supported by, but unattached to, a hemispherical base. The movable frame comprises a spherical enclosure constructed from rigid, lightweight materials such as composite materials or interlocking panels, providing unlimited 360-degree rotation in all three rotational degrees of freedom (pitch, roll, and yaw). An internal actuator system coupled to the movable frame controls attitude positioning while the center of rotation remains substantially fixed relative to the base. Low friction engagement between the movable frame and base is achieved through transfer bearings integrated into the base's outer surface or by pressure-vented air cushions. The system enables smooth, continuous rotation of the untethered movable frame for enhanced motion simulation applications.

A motion simulator system is disclosed that includes a freely rotatable movable frame supported by, but unattached to, a hemispherical base. The movable frame comprises a spherical enclosure constructed from rigid, lightweight materials such as composite materials or interlocking panels, providing unlimited 360-degree rotation in all three rotational degrees of freedom (pitch, roll, and yaw). An internal actuator system coupled to the movable frame controls attitude positioning while the center of rotation remains substantially fixed relative to the base. Low friction engagement between the movable frame and base is achieved through transfer bearings integrated into the base's outer surface or by pressure-vented air cushions. The system enables smooth, continuous rotation of the untethered movable frame for enhanced motion simulation applications.

1. Name of the product in this design: Motion Simulator (Immersive Cinema). 2. Purpose of this design: for virtual reality experience. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: 3D view 1. 5. The bottom surface of this product is a part that is not easily seen or cannot be seen during use, so the bottom view is omitted.

The invention relates to the field of motion systems especially for simulating motion such as driving or flying. In particular, though not exclusively, the invention relates to motion generators, and to systems including such motion generators, and to methods of using motion generators and motion systems for example as vehicle simulators. One aspect of the invention relates to a primary motion generator (10, 82, 102) for use in a motion simulator for moving a primary payload (14) of 80 kg or more above a surface (12), the primary motion generator (10, 82, 102) being a parallel manipulator comprising: a primary frame or platform (11) for supporting the primary pay load of 80 kg or more (14), three elongate linear guides (21, 22, 23) arranged transversely to each other below the frame in a planar array, at least one actuator (31, 32, 33) arranged per linear guide (21, 22, 23) above the surface, and controllable to move the linear guides (21, 22, 23) whereby the primary payload of 80 kg or more is movable in at least three degrees of freedom.

A motion simulator chair has a base and a seat. An actuator assembly is between the base and the seat, the actuator assembly including a frame connected to the base, a carrier connected to the seat. A linear actuator is operatively connected to the frame and to the carrier by a mechanism, the linear actuator operable to cause a movement of the carrier relative to the frame, the movement being at least partially vertical. A direction of movement of the linear actuator lies in a transverse plane that is between 15 degrees and 165 degrees from a vertical frontal plane of the motion simulator chair.

The present application belongs to the field of machine life prediction, and particularly relates to a full-motion simulator projector life prediction method, system and device. It aims to solve the problem of ignoring early signals and static acquisition strategy in the prior art. The present application starts the dark field mode and divides the area to collect multi-dimensional operating parameters; calculates the brightness, color change rate and transmission delay deviation rate; dynamically adjusts the abnormal threshold according to the device working time, historical fluctuation and environmental stability; adaptively adjusts the key area acquisition frequency through multi-condition joint trigger judgment; after extracting the regional and global degradation characteristics, inputting into the LSTM neural network model with attention mechanism, high-precision residual life prediction is realized. The present application effectively overcomes the defects of ignoring early aging signals and static acquisition strategy in the prior art, and significantly improves the early fault identification ability and prediction accuracy.

The invention provides a motion simulation rope-driven parallel mechanism configuration optimization method based on rope force constraint, and the method comprises the steps: determining a plurality of rope-driven parallel mechanism configurations meeting constraint conditions based on the installation space needed by a target motion simulator, the shape and load of an end effector, and the motion freedom degree and target motion range of the end effector; respectively calculating a force closed working space of each configuration and screening out at least two to-be-selected configurations; respectively calculating a force helix feasible working space and an attitude rotation range of each to-be-selected configuration; the attitude rotation range of each to-be-selected configuration is compared with the target motion range, so that whether the to-be-selected configuration is a basic target configuration or not is determined; based on the selected basic target configuration and the extreme value range of the rope tension, the number of poses meeting the force helix feasible working space within the extreme value range is obtained; and determining a tension constraint condition interval of the rope according to the pose number distribution. A rope made of a proper material is selected, and the rope selection design requirement of motion simulation is met.

Provided are a vehicle operation simulator system and a vehicle operation simulator method that enable an occupant or an observer to visually recognize, in real time, a real field in which a virtual object is placed. Specifically, a virtual object is placed in a real field, and a vehicle 2, which includes virtual sensors 22A – 22L for detecting the virtual object, is allowed to travel in the real field on the basis of the detection results of the virtual sensors 22A – 22L. While the travel results of the vehicle are collected, the real field in which an image 7 representing the virtual object is superimposed on a position at which the virtual object is placed is caused to be visually recognized.

This application relates to the field of dynamic decision-making and real-time interaction technology, providing a TCAS simulation method and system for a full-motion simulator based on dynamic decision-making and real-time interaction, solving the problem of low accuracy in dynamic prediction and avoidance decisions for flight conflicts. The method includes: acquiring the position coordinates, velocity, and heading angle of multiple flight targets in a three-dimensional airspace; discretizing the three-dimensional airspace into dynamically updated grid cells based on the position coordinates, and calculating the risk potential energy value of each grid cell according to the velocity and heading angle; during the simulation, dynamically predicting the probability of conflict occurrence within a set time period based on the risk potential energy value using a Monte Carlo algorithm, and generating an avoidance command set; after the simulation, generating a conflict report in a real-time interactive display interface based on the avoidance command set, the conflict report including the number of conflicts, the avoidance success rate, and the pilot's response time. This application improves the accuracy of dynamic prediction and avoidance decisions for flight conflicts in high-density airspace.

The micro-gravity simulation test system for fine operation of a space dexterous arm in a narrow area comprises a space dynamics target machine, a ground test system console, a motion simulator console, a wireless communication module, an optical darkroom, a distributed infrared measurement camera, a sunlight simulation device, a service star motion simulator, a target star motion simulator, a suspension type micro-gravity simulation system and a marble air floatation table; the light illumination condition and the micro-gravity condition in the space environment can be simulated simultaneously, and the actual operation environment of the space dexterous arm is simulated with high fidelity. The micro-gravity compensation scheme combining the air floatation system and the suspension mechanism can provide more accurate gravity compensation in more directions without being limited by the interference collision between the ropes and the mechanism. The rope winding and unwinding devices for horizontal and vertical motions are designed, and the contradiction between the high gravity compensation accuracy of the dexterous arm and the narrow space operation is considered, so that the dexterous arm end can be deeply operated in the narrow space of the sailboard slit.

The utility model provides an oil storage box and an all-motion simulator, the oil storage box is used for the all-motion simulator, the oil storage box comprises a box body and an oil storage drawer, an accommodating cavity for storing oil is formed in the box body, the box body is provided with a socket, an observation window and at least one interface, the socket is arranged at the bottom of the box body along the height direction of the box body and is communicated with the accommodating cavity, and the observation window is communicated with the interface. The observation window has transparency and is used for a user to observe the liquid level of the accommodating cavity, and the interface is used for being communicated with a lubricating system of the full-motion simulator; the oil storage drawer is detachably connected with the box body and can be inserted into or pulled out of the containing cavity from the inserting opening, the oil storage drawer is provided with an oil storage groove, and the oil storage groove is provided with a groove opening which is opened upwards in the height direction of the box body. A user can observe the liquid level condition in the oil storage box from the outside of the oil storage box, and then the user can decide whether the oil storage box needs to be cleaned conveniently. The oil storage drawer is connected with the box body in a sliding and inserting mode, so that when the oil storage drawer needs to be cleaned, the oil storage drawer is pulled out from the inserting opening in the box body, waste oil is poured out, and rapid cleaning of the oil storage box is achieved.

The present invention provides a distributed testing system and method for a maglev transportation control system. The testing system comprises a distributedly deployed on-board test device, a central test device and a partition test device. The on-board test device comprises an on-board data acquisition module, an on-board equipment simulator and a vehicle motion simulator, which are respectively used to simulate the operation of on-board control loop equipment, simulate vehicle motion, and collect data of the tested on-board control system; the partition test device comprises a position and speed simulator and a partition data acquisition module, which are respectively used to simulate the speed and position of the vehicle and collect data of the tested partition control system; the central test device comprises a test main control module and a central data acquisition module, which are respectively used to collect data of the tested central control system, simulate the vehicle operation process and scheduling process, and the initialization state of the line, traction and communication equipment, and test the tested on-board, partition and central control systems using the data collected by the three acquisition modules.

The application relates to the technical field of environment control and multi-system linkage of flight simulation training equipment, and provides a full-motion simulator environment intelligent linkage control method, system, equipment and storage medium, which solves the problems of low intelligent level and poor emergency response efficiency of multi-system cooperative control. The method comprises the following steps: acquiring the operation data and basic environment parameters of each subsystem in the environment linkage control system in real time through a multi-dimensional environment perception network, and performing fusion and state analysis to identify safety abnormalities, smoke simulation triggering or subsystem faults; when the above abnormal signals are identified, corresponding linkage control instructions are generated by using a logic control algorithm, and the instructions are sent to external systems such as power supply, gallery bridge, motion, fire alarm and an IOS instructor station through a cross-system linkage control mechanism; the system receives external feedback signals in real time, dynamically adjusts the cooperative control strategy, and constructs a closed-loop intelligent linkage control system. The application improves the intelligent level and emergency response efficiency of multi-system cooperative control.

Provided is a vehicle operation simulator system which makes it possible to efficiently perform preparation work and clean-up work after a test. To be more specific, the vehicle operation simulator system is configured such that: a virtual object is arranged in an actual field; a vehicle 2 equipped with virtual sensors 22A-22L for detecting the virtual object is caused to travel in the actual field on the basis of detection information from the virtual sensors 22A-22L; and while the travel results of the vehicle are collected, information used for vehicle driving assistance is switched, by means of a sensor-switching switch 21 which is provided, between the detection information from the virtual sensors 22A-22L and detection information from an actual sensor.

The invention belongs to the technical field of flight simulation equipment maintenance, particularly relates to a residual life prediction method for a control load loop amplifier of an all-motion simulator, and aims to solve the problem of low AMP life prediction precision. The method comprises the following steps: acquiring multi-source heterogeneous data including pilot manipulation behaviors, an electric thermal state of an amplifier body and a current training scene; the unmeasurable junction temperature in the power device is synchronously estimated by processing multi-source heterogeneous data, multiple degradation characteristics are decoupled and evaluated, and a health state index is generated; and predicting the residual service life of the AMP based on the evolution trajectory of the health state index. According to the method, the real service condition of the AMP can be more comprehensively represented, and the accuracy, adaptability and engineering practicability of AMP residual life prediction are remarkably improved.