218 results about "Training simulation" patented technology

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 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 relates to a simulation dialogue partner training system based on a large model. The simulation dialogue partner training system comprises a product knowledge base module, a question and answer library construction and management module, a pair training simulation module, a stage control module, a supernatural voice dialogue module, a verbal skill prompt module, a real-time evaluation module and a dialogue summary report module. The intelligent partner training system for customer communication training has high simulation dialogue ability, flexible configuration ability and a perfect evaluation feedback mechanism, can effectively replace a traditional scripted training or real person simulation partner training mode, and improves the communication actual combat ability of front-line personnel such as sales personnel and customer service personnel. According to the invention, low-efficiency links in a traditional training mode are replaced by an intelligent means, the training quality, the standardization degree and the reproducibility are improved, an enterprise is finally assisted to create a more professional and efficient customer front-line team, and the system can be widely applied to scenes such as enterprise training, new employee on-duty training and product popularization preparation.

The invention relates to the technical field of training simulation, and discloses a VR-based gas safety emergency training system, which comprises a three-dimensional scene construction module, an interactive data acquisition module, an interactive data processing module, an examination data analysis module and an examination evaluation module, entity drilling is replaced, the same scene can be repeatedly trained for infinite times, and the training cost is remarkably reduced; the VR technology provides multi-sensory stimulation, the intuitive cognition of students on danger is enhanced, the safety awareness and the emergency response capability are effectively improved, and no danger exists; by collecting operation data of students, the system automatically calculates key coefficients such as equipment operation precision, process compliance, disposal timeliness and path planning rationality, and scientific quantification and accurate scoring of training effects are achieved; and automatic grading evaluation is carried out according to a grading result, and a customized remedy module is triggered for students with insufficient abilities, so that a'training-assessment-intervention 'closed loop is formed, and the overall training efficiency is improved.

The invention discloses a multi-interface interactive training simulation method and system, a medium and a program product, and relates to the technical field of simulation training, and the method comprises the steps: determining a target training subject according to the selection of a student, determining a standard training procedure, displaying a virtual operation panel corresponding to the target training subject on a first display screen, a working principle animation corresponding to the target training subject is displayed on a second display screen, and a real-time simulation state corresponding to the target training subject is displayed on a third display screen; acquiring operation data of a student on the virtual operation panel in real time, matching the operation data with an operation step sequence in a standard training procedure, generating an operation instruction sequence, driving a working principle animation of the second display screen and a real-time simulation state of the third display screen, and recording actual execution time and operation deviation data; and inputting to a preset scoring model to obtain a final operation score, and generating a training report. According to the invention, pertinence of the trainee in simulated driving training can be improved.

The invention relates to the technical field of sailboat training instruments, and provides a real-time simulation platform for sailboat exercise training, which comprises a training sailboat used for trainee driving training; the rainwater simulation mechanism is used for simulating the influence of raining on the sight of the driver in rainy days; the water inlet mechanism is used for simulating the influence on the operation of a driver when the training sailboat inclines in rainy days and water enters a cockpit; and the water pumping mechanism is used for simulating internal drainage of the cockpit and recycling recycled water resources. Through the cooperation of the rainwater simulation mechanism, the control mechanism and the water inlet mechanism, the sailboat training simulation platform can simulate the influence of rainwater blowing to a cab from different directions on the sight of a student, can simulate the influence condition of the amount of different rainwater blowing to the interior of the cab from different directions on the sight of the student, and meanwhile, can simulate the influence condition of the amount of rainwater blowing to the interior of the cab from different directions. The sailboat training simulation platform can simulate the influence of rainwater on the deck of the training sailboat entering a cockpit due to the inclination of the boat body on the operation and driving of trainees in rainy days.

The invention discloses artificial intelligence running equipment for physical training and relates to the field of treadmills, the artificial intelligence running equipment comprises a running platform, T-shaped sliding blocks are symmetrically arranged on the two sides of the running platform, T-shaped sliding grooves are formed in the outer wall of the running platform along the circumference, the two T-shaped sliding blocks are slidably connected with the T-shaped sliding grooves, and a support is arranged on the running platform; the support is composed of a first supporting rod, a second supporting rod and a transverse rod, the two T-shaped sliding blocks are fixedly connected with the outer walls of the bottoms of the first supporting rod and the second supporting rod respectively, a sliding rod is connected to the lower portion of the transverse rod, and a plurality of touch assemblies are distributed on the front face and the back face of the touch vest. The plurality of touch assemblies are used for the user to experience specific touch in the physical training simulation scene; the touch assemblies are reasonably distributed in the vest, and the airflow assemblies are arranged, so that when a user carries out physical training, training scenes in various complex environments can be simulated more truly, and the immersion feeling and the effect of training are effectively enhanced.

The invention discloses an unmanned aerial vehicle operation skill training system based on deep reinforcement learning, and the system comprises the following modules: an operation behavior data collection module which is used for constructing an operation behavior data set; the data preprocessing module is used for generating a time sequence joint input tensor; the behavior transformation module is used for outputting an operation behavior representation vector; the parameter updating module is used for carrying out non-momentum mode iteration updating on the training parameters of the behavior transformation Transform module based on a Lion optimizer; the disturbance adjusting module is used for obtaining disturbance behavior representation; the decoding module is used for decoding the disturbance behavior representation into a control action sequence; the reversible motivation generation network module is used for reasoning to obtain a reconstructed motivation vector; the motivation comparison module is used for identifying target cognitive deviation; and the training scheduling module is used for outputting a new training scene and a control strategy to the training simulation environment. According to the method, deep reinforcement learning and motivation modeling methods are fused, and personalized training of unmanned aerial vehicle operation skills is realized.

The invention provides an information synchronization method, system and device for an embedded training simulator and a medium. The information synchronization method comprises the steps that task event information in the embedded training simulator is obtained; performing task classification on each piece of task event information to obtain each piece of task event information with attribute tags; according to the attribute tag of each task event information, performing task priority classification on each task event information by using an improved multi-factor priority scoring algorithm to obtain a task priority queue; according to the task priority queuing queue, generating a to-be-pushed data packet, and performing information synchronization on the to-be-pushed data packet; according to the invention, by introducing a task priority-based scheduling mechanism, the pushing sequence and the synchronization strategy of the task information are dynamically optimized, so that the scheduling rhythms and the transmission paths of the tasks with different priorities are intelligently distributed; and the dynamic adaptive capacity and the efficient task delivery capacity of the embedded training simulation in the training process can be improved.

The invention belongs to the technical field of electric power automation, and discloses a DTS intelligent interaction method and system fusing a large language model and a vector database, and the method comprises the steps: obtaining the text data of an electric power regulation and dispatcher training simulation system DTS field, and constructing a semantic vector knowledge base; based on the constructed semantic vector space mapping and knowledge base, performing problem reconstruction representation on the proposed problem, and then converting the problem reconstruction representation into a vector through an embedded network; retrieving in the constructed semantic vector knowledge base based on the converted vector, calculating the comprehensive similarity between the problem vector and the vector in the knowledge base, and retrieving the most relevant knowledge fragment; and driving a large language model to generate a final intelligent question and answer response by taking the most relevant knowledge fragment and a dialogue context provided by a memory mechanism as input. Efficient, accurate and intelligent questioning and answering of complex dispatching business problems are achieved, and a new artificial intelligence interaction tool is provided for training of a digital intelligent novel power system dispatcher.

A system and method AI-enabled telematics and actuation for electronic entertainment, simulation, training, and remote operations systems. The system and method disclosed support neuro symbolic reasoning and generative AI enabled experience generation to allow a user or collection of users to experience a wide range of realistic scenarios where the user can pick and choose an experience that best fits their individual or collective preferences. Additionally, the system and method have wide applications to a variety of environments, including but not limited to, racing, sports, military training, vehicle and aircraft operation, and training simulations. The proposed system and method enable realistic, immersive video game, simulation, training, and remote operations environments which are applicable to a wide range of devices, platforms, and mediums for recreational, commercial, industrial, and security uses.

The present application relates to the technical field of electronic digital data processing, and particularly relates to a simulation optimization method and apparatus for a network architecture of an intelligent computing center, and a device and a medium. The method comprises: acquiring training configuration information of a large language model to be trained; on the basis of the training configuration information and a preset discrete event simulation strategy, using a preset simulator to perform training simulation on said large language model, so as to obtain a simulation result, wherein the preset simulator is obtained by using a preset ECS framework; and on the basis of the simulation result, adjusting a network architecture of an intelligent computing center, and obtaining an optimal network architecture of the intelligent computing center. In this way, a network simulator of an intelligent computing center is designed by using an entity component system framework, such that a complete simulation process of the training of a large language model can be implemented, so as to search for the optimal network architecture of the intelligent computing center; and the problem of it not being possible to support the simulation of a large-scale network of the intelligent computing center due to the fact that existing network simulators lack scalability is solved, thereby improving the efficiency and accuracy of simulating a large-scale network of an intelligent computing center.

The invention relates to the technical field of fire safety and simulation training, and discloses a rule-driven fire-fighting real smoke and real fire training simulation system, which comprises a data acquisition and modeling module, a rule driving module, a rendering output module and a training evaluation module. The data acquisition and modeling module is used for acquiring initial fire data and constructing a reference model of smoke diffusion and fire spreading; the rule driving module simulates the non-synchronous evolution process of the fire through a particle simulation algorithm, a time coordination rule and a feedback loop algorithm; the rendering output module is used for integrating the environment rendering data and the multi-factor propulsion mode and generating a training effect evaluation index; and the evaluation optimization module judges whether the simulation precision of the reference model reaches a preset standard or not according to the training effect evaluation index until a simulation result meeting a precision requirement is obtained. According to the invention, the reality and accuracy of fire-fighting simulation training are improved.

The utility model discloses a deep vein puncture training simulation device, which comprises a puncture training platform, a dummy man device and a puncture training device, the dummy man device comprises a dummy man body and simulated deep veins distributed in the dummy man body, and each simulated deep vein is filled with simulated blood. The surface of the simulation human body is coated with a transparent observation layer through which all the simulation deep veins can be observed; a body position adjusting device is arranged on the puncture training table; the puncture training device comprises a puncture training needle and a puncture feedback device; teaching and training requirements of different body positions can be met by adjusting the body position of the simulated human body, all simulated deep veins can be observed through the transparent observation layer, and puncture results can be fed back in time when puncture training is conducted through cooperation of the puncture training needle and the puncture feedback device. When puncture fails, failure causes can be known through observation of the transparent observation layer, so that trainees can adjust and correct in time, and accuracy, training efficiency and quality of puncture operation are improved.

A computerized method for automated educational simulation creation comprising: retrieving and ingesting a set of audio recordings and associated metadata; converting the audio recordings to a plurality of digital assets; discovering a trending issues based on a search of the metadata; identifying a set of key assets from the set of audio recordings and associated metadata; automatically creating a customized training simulation based on the set of key assets; and automatically publishing the customized training simulation by publishing and distributing customized training simulations to a plurality of agents

The invention relates to a mine belt fire disposal training simulation system. The mine belt fire disposal training simulation system comprises a simulation roadway unit, a belt operation simulation unit, a fire initiation and control unit, an environment simulation unit and a monitoring and data acquisition unit. The invention further provides a mine belt fire disposal practical training simulation method, and the mine belt fire disposal practical training simulation method can comprehensively and truly simulate the occurrence and development process of a mine belt fire, including various reasons for causing the fire, the spreading conditions of the fire under different environmental conditions, fire extinguishing operation and the like. According to the invention, accurate data support can be provided for the research of the mine belt fire, the mechanism of the mine belt fire can be deeply researched, and a basis is provided for making a more scientific fire prevention and control strategy. According to the invention, the understanding and coping capability of rescue workers on mine belt fire disasters can be improved, so that the rescue workers are more skilled in actual rescue work, and fire extinguishing and rescue operation can be effectively carried out.

The invention provides a virtual reality processing method and system in an emergency training simulator. The method comprises the following steps: constructing a highly-simulated virtual first-aid scene, obtaining immersive first-aid training experience of seamless interaction between a user and a virtual environment, and generating interaction feedback data; according to the interaction feedback data, carrying out dynamic adjustment processing on a development track of the first-aid event, and generating a personalized first-aid scene branch; on the basis of the personalized first-aid scene branch, personalized guidance information is generated in real time, and a personalized guidance and psychological support scheme is generated; and designing vivid resource limiting conditions, carefully configuring virtual props and environment settings according to the personalized guidance and psychological support scheme, simulating first-aid resource constraints in the real world, and generating an actual combat ability strengthening training environment under team cooperation. According to the technical scheme provided by the invention, the reality, individuation, immediate feedback and actual drill effects of first-aid training are greatly improved.

A training simulator for healthcare provider training may include one or more of the following: a first body component; a second body component; and a joint located at a junction of the first body component and the second body component, where the first body component is rotatable relative to the second body component at the joint. An actuator system for the training simulator may include a linear slider-crank mechanism and an actuator for controlling the linear slider-crank mechanism, where the linear slider-crank mechanism is configured to control a torque required to move the first body component relative to the second body component at the joint, and where control of the linear slider-crank mechanism with the actuator adjusts the torque.

The utility model discloses a training simulation ejection seat capable of providing constraint simulation. The training simulation ejection seat comprises arm constraint simulation assemblies arranged on the two sides of an ejection seat body. The arm constraint simulation assembly comprises a shell, a first cavity is formed in the shell, a first cam is rotationally connected into the first cavity of the shell, a sliding rod is vertically arranged in a second cavity in the shell in a sliding mode, the sliding rod is located below the first cam, the first cam can push the sliding rod to move downwards when rotating to a set position, and a second cam is arranged below the sliding rod. When the sliding rod moves downwards, the sliding rod can impact the side face of the other end of the second cam, the second cam drives the arm limiting device to rotate, and the upper end of the arm limiting device moves downwards to restrain the arms of trainees. The seat can meet the simulated ejection requirement under the new situation.

The invention relates to the technical field of VR training systems, in particular to a power plant production area VR training system which comprises a digital twin modeling unit, a VR interactive operation unit, a real-time data synchronization unit, a safety training simulation unit, a cloud computing supporting unit, a training evaluation unit and a remote cooperation unit. The digital twin modeling unit is used for constructing a 1: 1 high-precision three-dimensional model of the power plant production area, completing modeling of the whole plant area by deploying a scanning vehicle, integrating equipment physical parameters of the power plant production area by utilizing field sampling equipment, including data of temperature, pressure and current, and mapping and updating the model state in real time by utilizing data of the internet of things; and finally verifying the model. The immersion and operation experience of students are enhanced, the training effect is improved, the operation ability and skill level of the students can be accurately evaluated, the students are helped to discover deficiencies and carry out targeted improvement, the students are helped to avoid dangers in actual operation, and the safety is improved.

The invention belongs to the technical field of virtual training analysis, and particularly relates to an online virtual psychological training scoring system and a scoring method thereof. Comprising a training simulation module, a simulation evaluation module, a database module, a wide area network module, a management end and a student end. The training simulation module comprises a simulation server and a simulation output unit; the simulation evaluation module comprises an identity management unit, an index management unit and an evaluation unit; the database module is used for providing data support and processing service for each resource of the system and generated data; the wide area network module is used for establishing contact between equipment in the system and the management end and the student end; the management end is used for establishing an interface and a control mechanism related to system configuration management and system monitoring; and the student end is used for establishing a simulation training and student interaction operation mechanism. The virtual psychological training system is used for online virtual psychological training, meets the requirements of vocational skill training of related posts and the like, and enables learners to be familiar with and master basic knowledge, basic processes and practical operation skills of psychological training.

The invention provides an artificial intelligence confrontation technology military training simulation system based on reinforcement learning, and belongs to the field of training simulation. The problem of poor confrontation simulation training effect is solved; the scene simulation module is used for constructing a differential equation set and setting a response area of a target or a response interval of a laser module; the training simulation module is used for acquiring the positions of trainees, counting, recording and analyzing the shooting interval and the effective score of each trainee in combination with a differential equation set and the response area of the target or the response interval of the laser module, and adjusting a training strategy; the score feedback module is used for recording and feeding back effective scores of the trainees; the target refreshing interval and position are adjusted by analyzing the score and shooting angle of the trainee, and the target moving route is distributed according to the position of the trainee, so that the model effect of confrontation training is improved.

The utility model provides material filling equipment, which belongs to the technical field of material carrying and comprises a double-layer transmission module, two lifting platforms, a tray feeding module, a bottle body feeding module, an electric manipulator module, a filling feeding module, a robot clamp storage frame, an industrial robot unit, a visual inspection and identification module, a three-dimensional storage module and a basic examination assembly. The dynamic simulation operation can be realized through the industrial robot unit; according to the utility model, not only can practical training simulation of an automatic filling assembly line be carried out on students, but also dynamic operation simulation of the industrial robot unit can be realized through the basic assessment assembly, so that the skill intensity of the students after practical training simulation is improved.

The utility model discloses an aircraft attitude simulation training device, which belongs to the technical field of aircraft training simulation and comprises a base, a support frame is connected above the base, one side of the base is connected with a fixing cylinder, an anti-slip mat is connected below the other side of the base, and a through groove is arranged below the base. According to the aircraft attitude simulation training device, a first motor is started to rotate a threaded rod, a U-shaped frame is promoted to move along the threaded rod through a threaded sleeve, then a connecting rod is pushed to move, a fixing rod is promoted to slide along a guide groove, a connecting plate is made to rotate, universal wheels are promoted to stretch out of a through groove, and then a base is obliquely supported; and during fixing, the threaded rod only needs to be reversely rotated, the connecting plate and the universal wheel are promoted to move into the cavity from the through groove again, the non-slip mat and the supporting block are promoted to make contact with the ground, fixing and supporting are completed, and stability is improved.

The utility model discloses a chest and back puncture training simulation device, and relates to the technical field of clinical puncture teaching, the chest and back puncture training simulation device comprises a front chest model and a back model, the upper parts of the inner cavities of the front chest model and the back model are respectively provided with a storage bin A and a storage bin B with the same structure; a first connecting rod with one end capable of sliding in the upper portion of an inner cavity of the storage bin B is rotationally arranged on the upper portion of one side of the storage bin A. A moving mechanism is arranged on the lower portion of the first connecting rod and comprises a second connecting rod with one end rotationally arranged in the inner cavity of the storage bin A and away from the lower portion of one side of the first connecting rod. An L-shaped sliding rail fixedly arranged on the side wall of the inner cavity of the back model is slidably arranged at the end, away from the second connecting rod, of the opposite-pull rod, and a U-shaped telescopic rod is slidably arranged at the end, away from the opposite-pull rod, of the L-shaped sliding rail. The problem that teaching organs in the dummy model cannot be rapidly replaced is solved.

The utility model provides a new energy automobile training simulation device, which belongs to the technical field of automobile teaching equipment and comprises a support and a high-voltage system which are fixed on a table top of a table body, and a teaching demonstration screen used for theory learning is fixed on the support. The high-voltage system comprises an operation platform for controlling start and stop, a battery box assembly for providing power, a charging assembly for simulating power supply charging, a driving assembly for simulating an automobile load and a DC / DC converter for simulating high-voltage direct current to be converted into low-voltage direct current, and the operation platform, the battery box assembly, the charging assembly, the driving assembly and the DC / DC converter are connected through wire harnesses. According to the new energy automobile training simulation equipment, the composition of a high-voltage system can be visually observed, the training operation of the high-voltage system can be carried out, the understanding and coping ability of trainees to real scenes is improved, meanwhile, the learning combining theory and practice can be carried out, and related knowledge and working principles can be more quickly mastered.

The invention discloses an AI-based schizophrenia clinical thinking training simulation system, which relates to the technical field of artificial intelligence, and is characterized by comprising the steps of constructing a dynamic knowledge base, receiving and preprocessing multi-modal input, performing standardized mapping by extracting keywords, and then performing judgment of a rule layer and a semantic layer. A student question method and a standard answer method in the dynamic knowledge base are sent into a model for response generation, then four-dimensional quantitative scoring and clinical operation multi-dimensional scoring are carried out, error codes and positioning sentences thereof are output, and finally personalized training courses are recommended to students; and hot-updating the dynamic knowledge base continuous optimization model. According to the method, four dimensions of the ICD-10 diagnostic standard are converted into a quantitative scoring algorithm capable of being automatically executed, quantitative assessment of clinical operation specifications is integrated, a diagnosis and operation double-track evaluation system is constructed, the problems that a traditional method is lack of evaluation standards and high in subjectivity are solved, and the evaluation efficiency is improved. Therefore, the evaluation of the clinical thinking ability of the medical students becomes objective, comprehensive and evidence-based.

The invention discloses an AI-based pneumatic fault practical training analogue simulation method, which comprises the following steps: S1, establishing a real-time running state database of pneumatic equipment, and establishing a fault database; s2, constructing a virtual simulation laboratory scene model, wherein the virtual simulation laboratory model comprises a virtual pneumatic test bed, a pneumatic equipment model and a pneumatic practical training virtual platform; s3, based on the virtual simulation laboratory scene model, triggering a corresponding simulation fault scene in combination with the real-time operation state database and the fault database; s4, using a machine learning algorithm to diagnose and identify the simulated fault scene, and providing fault repair guidance; and S5, a virtual fault diagnosis and scoring report is generated, and pneumatic fault practical training is completed. Meanwhile, the invention further provides an AI-based pneumatic fault practical training analogue simulation system. The efficiency and learning experience of pneumatic fault practical training can be effectively improved, and the fault diagnosis capability of practical training personnel is improved.

The invention relates to the technical field of virtual scene design analysis. The system comprises a data accuracy and credibility evaluation module, an exercise standard analysis module, an exercise load analysis module, an exercise mode difficulty evaluation module and a scene training dynamic adjustment module. The data accuracy and credibility evaluation module evaluates the accuracy and credibility of data collected by the equipment; the exercise standard analysis module analyzes an exercise standard composite score according to the exercise data; the user exercise load analysis module analyzes the comprehensive exercise load of the user according to the physiological data; a motion mode difficulty evaluation module analyzes a difficulty value of scene training simulation of the current motion mode; and the scene training dynamic adjustment module dynamically adjusts scene parameters according to the difficulty level of training simulation. According to the method, the difficulty degree of current training simulation is analyzed according to the data generated in the equipment wearing process, scene parameters are dynamically adjusted, and the training effect and the user experience can be remarkably improved.

The utility model relates to the technical field of escape training, provide a self -rescue training simulation device, including experiment cabin and the dynamic arm system of symmetry in its both sides, dynamic arm system includes first dynamic arm connecting rod, second dynamic arm connecting rod, first rocker arm subassembly and second rocker arm subassembly, in first rocker arm subassembly, first dynamic arm connecting rod front end is hinged in first rocker arm one end through second mandrel, first rocker arm other end is connected with second fixed support through third mandrel, both junctions all are equipped with first joint bearing, the third mandrel outer symmetry is equipped with third state gasket, in second rocker arm subassembly, second dynamic arm connecting rod front end is connected with second rocker arm one end through fourth mandrel and is equipped with copper bush, second rocker arm other end is connected with third fixed support through fifth mandrel and is equipped with second joint bearing, the fifth mandrel outer symmetry is equipped with fourth state gasket. According to the utility model, can realize the flexible, stable motion simulation of multiple degrees of freedom, effectively promotes the training authenticity and security.