116 results about "Training simulation" patented technology

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.

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.

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 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 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 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.

The invention discloses an urban underground space comprehensive digital management system which comprises a digital management system body, and the digital management system body comprises a project application scene platform, a construction content platform, a project technical architecture platform and a technical route platform. The project application scene platform is based on urban underground space comprehensive digital management construction requirements, and the project is fused with an urban underground space business application scene through IOT, AI, big data, cloud computing, digital twinning, XR, GIS and BIM information technologies; according to the invention, IOT, AI, big data, cloud computing, digital twinning, XR, GIS and BIM information technologies are fused with an urban underground space business application scene, a digital twinning basic environment is established, a facility operation and maintenance platform, AI safety management and control, XR practical training simulation and a digital cockpit module are researched, developed and applied, and a virtuality and reality combined urban underground space full-scene digital operation and maintenance management platform is built. And the personnel safety guarantee service of people is met.

The application discloses a kind of micro-integrated control and multi-scenario training method oriented main distribution system, method includes: obtaining the training data of simulation training input parameter;Set the initial environment of simulation training, including according to the training role and teaching plan information, according to the training range, the loading of simulation initial section data of control operation is carried out;Different scene, scene instance and the running mode of sub-scene are established, multi-person joint training simulation or multi-person independent training simulation is carried out, and the training process is scored, and evaluation report is generated.The application provides simulation training scene management, starts the simulation environment of specified scene, provides fault and abnormal setting function for instructor, provides two training modes of joint training and independent training for student, automatically records important information of student operation, carries out evaluation, realizes the control operation simulation of micro-integrated main distribution and multi-scenario training of distribution network, improves the ability of staff to quickly analyze and handle fault, improves the ability of power supply recovery.

The invention provides a training method of a steward training simulation model and a steward training simulation method, relates to the technical field of steward training simulation, and aims to understand the current environment state of a steward so as to improve the authenticity of aviation steward training simulation. The method comprises the following steps: acquiring multi-modal data of a passenger cabin environment; based on the multi-modal data, training the steward training simulation model; the multi-modal word segmentation device is used for encoding the multi-modal data into a multi-modal token sequence; the potential action model is used for acquiring potential action representation of the steward or the passenger based on the multi-modal token sequence; the state analyzer is used for obtaining a passenger cabin semantic state diagram based on the multi-modal token sequence, and the passenger cabin semantic state diagram is used for representing a semantic relationship between entities in a passenger cabin; the dynamic model is used for predicting a multi-modal token at the next moment based on the multi-modal token sequence, the potential action representation and the passenger cabin semantic state diagram, and the multi-modal token at the next moment is at least used for simulating the passenger cabin environment at the next moment.

The invention discloses an intelligent LED screen practical training simulation and fault diagnosis system and method. The system comprises a practical training scene configuration module, an LED control simulation module, a fault generation and diagnosis module, a data acquisition and analysis module, an interaction and feedback module, a plurality of cooperative control modules and a safety monitoring module. Multiple splicing modes such as single lamp panel, regular splicing and special-shaped combination are achieved through the practical training scene configuration module, free combination configuration of the control module is achieved, the limitation of traditional practical training scene solidification is broken through, and practical training requirements of different levels and different types are met; based on a diagnosis mechanism of fault feature similarity calculation, various fault types and superposed faults can be accurately simulated, rapid identification and root positioning of the faults are realized, scientific fault checking training is provided for practical trainees, and the fault diagnosis capability is improved.

A computational system and method for digital modeling of cardiac cell membrane electrophysiology is disclosed. The system generates a digital model representing the cell membrane as a dielectric lipid bilayer comprising a capacitor element and a resistor element, where the resistor element is emulated by a plurality of ion channels. The system calculates cell membrane potential based on intracellular and extracellular concentrations of key ions, such as Na+, K+, Ca2+, and Cl-, using the Goldman-Hodgkin-Katz equation. Generation of cellular membrane action potentials is simulated by modeling the opening and closing of voltage-gated ion channels in response to triggering events. The model provides dynamic visualizations of the distinct phases of the action potential, including depolarization and repolarization, offering a high-fidelity tool for research and for enhancing the realism of training simulations in electrophysiology procedures.

The invention discloses a three-dimensional power grid training simulation method based on a virtual reality technology, and relates to the technical field of power grid training simulation, and the method comprises the following steps: initializing a virtual reality environment, loading a mountainous area power grid three-dimensional model, and generating a power transmission line node; setting training environment parameters; calculating an effective wind speed at each line node according to the terrain gradient; calculating the line galloping amplitude in real time; dynamically rendering a line galloping effect in a VR environment, and visually displaying a dangerous section through color coding; students can deploy anti-galloping devices interactively, and the system updates the damping effect in real time and recalculates the galloping amplitude. The system continuously monitors the safety state, provides a real-time alarm and generates a training evaluation report. According to the invention, a terrain-adaptive galloping amplitude real-time calculation algorithm is introduced, and a virtual reality training system deeply fused with a real geographical environment is constructed, so that simulation and visualization of the galloping behavior of the high-voltage transmission line in a mountainous complex terrain can be realized.

The utility model provides an electric service workshop ZPW2000R practical training simulation platform, which is characterized by comprising a ZPW2000R interval blocking cabinet, an interval passing signal machine, a pull-in signal machine and a practical training operation console which are sequentially connected in series through a circuit, a lighting circuit relay combination, a mutual control appointment relay combination, a node relay combination and a track relay combination are arranged in the pull-in signal machine, and the mutual control appointment relay combination is used for achieving the interlocking relation of mutual control appointment between relays in the lighting circuit relay combination and controlling the relays to be sucked up and fall down. The node relay combination is used for increasing the number of nodes in the pull-in annunciator, the track relay combination is used for restoring an outdoor lighting circuit of the pull-in annunciator, and a pull-in annunciator repeating lamp combination is further arranged in the pull-in annunciator and used for distinguishing the normal state of display equipment. According to the utility model, an intelligent system is adopted to carry out line breaking and line mixing on the ZPW2000R interval automatic block circuit and the pull-in signal machine circuit, so that the practical training drilling of the railway electric service field work area is convenient.

The invention relates to the technical field of intelligent teaching, and discloses a college VR teacher training simulation teaching data quantitative evaluation method and system, and the method comprises the steps: carrying out the multi-modal feature fusion of the teaching behavior data of a teacher, and obtaining the teaching behavior features; performing semantic network reconstruction on the teaching behavior features to obtain a teaching behavior feature map; according to node attributes of the teaching behavior characteristic atlas, performing characteristic dimension mapping on the teaching behavior characteristic atlas to obtain teaching ability quantitative indexes; analyzing a dynamic evolution rule of the teaching ability quantitative index to obtain a change trend of the teaching ability quantitative index; performing stage trajectory fitting on the teaching ability quantitative index to obtain a teaching ability development trajectory; integrating the teaching ability quantitative index and the teaching ability development track to generate a comprehensive quantitative evaluation index; the college VR teacher training simulation teaching data quantitative evaluation method can improve the efficiency of college VR teacher training simulation teaching data quantitative evaluation.

The utility model discloses a relay protection practical training cabinet, including practical training platform and relay protection practical training simulation device, be equipped with second cabinet body on the practical training platform, the relay protection practical training simulation device is located in second cabinet body, the utility model discloses the second cabinet body of setting over on practical training platform, and the relay protection practical training simulation device is set in its inside, and the second desktop is set to one side of second cabinet body, and the practical training panel side is set to the other side, and second cabinet body can freely overturn, and can be turned over and stored when not using, avoid the influence sight, use more convenient, and the second cabinet body of turning over and storing state can be used as the desktop, improve the functionality, and when needing practical training, second cabinet body can be turned over and lifted to make the practical training panel side expose, and the practical training is convenient.

This invention relates to the field of bone drilling training simulation equipment, and more particularly to an operational simulation device for training orthopedic bone drilling skills. The device includes a housing, with modules on both sides of the upper part of the housing. A mold cavity is located in the middle of the side of each module that is close to the other. Rotary seats are located at the front and rear of each module. An electric push rod is mounted in the middle of each rotary seat. A bone body is held between the telescopic ends of the electric push rod, and the bone body is positioned inside the mold cavity. A driven gear is mounted at the opposite end of each rotary seat. A connecting seat is mounted in the middle of the opposite end of each module. Mounting frames are mounted on both sides of the opposite end of each module. Scissor frames are located on both sides of the upper part of the housing, and connecting blocks are rotatably connected to the ends of each scissor frame. This invention can simulate the opening requirements of low-invasive surgery in different locations, solving the shortcomings of traditional equipment with fixed openings that cannot adapt to diverse training scenarios.

The invention provides an unmanned aerial vehicle inspection work obstacle avoidance training simulation method, which comprises the following steps: obtaining a standardized obstacle state input vector by using historical observation data through multi-step normalization and feature extraction; constructing a space-time memory unit through a differentiable neural Turing machine, fusing space and time features, and realizing efficient coding and storage of obstacle trajectories; a local evolution trend is extracted by adopting an attention mechanism, obstacle group correlation analysis and risk assessment are completed with the help of a graph convolutional network, and future spatial-temporal distribution is predicted; in combination with real-time observation and probability distribution, diversified low-risk paths are generated and screened, and a lightweight action strategy is output; through hierarchical knowledge distillation and an online fine tuning mechanism, the unmanned aerial vehicle obstacle avoidance strategy model adapts to dynamic changes of the environment, the generalization ability and the environmental adaptability of the unmanned aerial vehicle obstacle avoidance strategy model are improved, adaptive closed-loop control is realized, and the unmanned aerial vehicle inspection safety and the path decision efficiency are remarkably improved.

The utility model relates to a simulation machine rotor wing mechanism, and belongs to the technical field of aviation machinery. In order to solve the problem that an existing training simulation system can only simulate rotation of a rotor wing mechanism and cannot simulate pitch angle changes of rotor wing blades, the simulation machine rotor wing mechanism comprises the rotor wing blades, a rotation driving assembly for driving the rotor wing blades to rotate and a driving frame, the driving frame is provided with a rotation driving assembly and an inclinator for driving the rotor blades to change the torque; due to the fact that the inclinator is additionally arranged, the pitch angle change of the rotor blade can be simulated while the rotor blade rotates, the motion state of the rotor blade in the aircraft operation process is simulated more truly, students can observe and understand the motion state visually, and the device can be well applied to a teaching system.

The application discloses a kind of based on reduced-order model retraining's fractured reservoir injection-production parameter optimization method, it is related to unconventional oil and gas development technical field, including: establishing fractured reservoir full-order numerical simulation model, setting initial injection-production control parameter, running main, vice training simulation;Snapshot matrix is executed singular value decomposition, and reduced-order basis matrix is constructed;Snapshot matrix and the gradient information of main training simulation are executed reduced-order preprocessing, and reduced-order model is constructed;Based on reduced-order model, injection-production parameter optimization iteration is executed and is dynamically judged, until cumulative adjustment step is not more than pre-set allowable value and has reached pre-set maximum iteration step number, then with current optimal injection-production parameter operation verification, output optimal injection-production parameter and objective function value, otherwise using current optimal injection-production parameter updates main training simulation and retraining reduced-order model.The application is through simulation, reduced-order, optimization, update closed loop process, ensure accuracy while greatly improving the calculation efficiency of fractured reservoir production optimization.

The invention provides a large model training simulation method and system, and the method comprises the steps: carrying out the task division of a large model through employing a current target parallel calculation strategy according to each calculation node to participate in the large model training, the large model, and each batch of training data stored in a data node, calculating the data to obtain calculation subtasks of the training data of each batch; and taking each calculation sub-task as a target sub-task in sequence, and executing an iterative simulation step for each target sub-task based on a preset event-driven mechanism to obtain task scheduling simulation, network resource use simulation and computing power resource use simulation data of each calculation sub-task of the large model under the target parallel computing strategy. Effective balance of efficiency and simulation degree in the large model training simulation process can be realized, and then computing resources in the large model training process can be effectively saved according to the simulation result and the operation efficiency of computing equipment can be improved.

A training simulation system and / or method is applied via a virtual environment. The simulation is an application that allows trainees to engage in highly dynamic, unpredictable, and immersive scenarios, which would not be feasible or cost-effective with traditional training methods. Due to the AI-driven nature of the characters, each interaction is unique, offering diverse and individualized experiences for each trainee. The simulation can be trained via a machine learning network based upon both real-world and virtual scenarios, including actions and reactions of counselors and those under care.

The invention discloses an analogue simulation control practical training system and method based on a DF4D railway locomotive, and relates to the technical field of railway locomotive practical training, the system comprises a simulation operation subsystem, a practical training simulation subsystem and a data management subsystem; the simulation operation subsystem interacts with the practical training simulation subsystem in real time through a data interface, and the data management subsystem stores, analyzes and visually presents practical training whole process data. According to the invention, the three-dimensional visual system and the multi-mass-point dynamic model are constructed based on real line data, the influence of complex line conditions, special weather and sudden faults can be accurately simulated, the blank of critical scene training in real vehicle practical training is filled up, students can accumulate experience for dealing with unconventional conditions in a safe environment, and the training efficiency is improved. And the proficiency and accuracy of emergency disposal are fundamentally improved.

The present application relates to the technical field of wisdom teaching, disclose a kind of university VR teacher training simulation teaching data quantification evaluation method and system, the method includes: the teaching behavior data of teacher is carried out multimodal feature fusion, obtains teaching behavior feature;Teaching behavior feature is carried out semantic network reconfiguration, obtains teaching behavior feature atlas;According to the node attribute of teaching behavior feature atlas, teaching behavior feature atlas is carried out feature dimension mapping, obtains teaching ability quantitative index;The dynamic evolution law of teaching ability quantitative index is analyzed, obtains the change trend of teaching ability quantitative index;Teaching ability quantitative index is carried out stage trajectory fitting, obtains teaching ability development trajectory;Integrate teaching ability quantitative index and teaching ability development trajectory, generate comprehensive quantitative evaluation index;The present application can improve the efficiency of a kind of university VR teacher training simulation teaching data quantification evaluation.

The invention discloses a secondary power connection professional safety training simulation device and method. The device comprises a simulation operation panel unit, a simulation tool unit integrated with a torque and attitude sensor, a main control and simulation calculation unit with a built-in secondary circuit simulation model library, a state indication and feedback unit and a student behavior acquisition and evaluation unit. The simulation terminal strip is integrated with a non-contact simulation generation module and a high-precision position sensor; the method comprises the steps of task configuration and scene loading; safety measure simulation execution; performing simulation power connection practical operation and real-time monitoring; dynamic simulation and risk presentation based on model deduction; performing operation backtracking and quantitative evaluation; through multi-sensor fusion and a real-time simulation technology, high-simulation, quantifiable and immersive full-process training is realized in an absolutely safe environment, a misoperation consequence can be visually presented, objective data acquisition and intelligent evaluation are performed on an operation process, and a training effect and safety awareness are effectively improved.

This invention relates to the field of measurement, control, and training simulation technology, specifically to an interference suppression subsystem, comprising an interference signal feature matching module, a real-time service status monitoring module, an interference signal arrival direction determination module, and an interference suppression execution module. Specifically: the interference signal feature matching module acquires the collected signals from a complex electromagnetic environment simulation and matches the acquired signals with a preset interference feature library to identify the interference signal to be processed; the real-time service status monitoring module queries the current interference to inquire about the service status and triggers an interference suppression request; the interference signal arrival direction determination module uses a multi-channel antenna array to collect the spatial phase difference of the interference signal, obtain the arrival direction parameters of the interference signal, and store this direction information; the interference suppression execution module generates beam weights based on the arrival direction, implements spatial notch filtering, and verifies the effect. Through these methods, the reliability of anti-interference and the accuracy of task simulation are improved.

The application discloses a kind of based on digital twinning practical training teaching equipment virtual simulation method, comprising: step one: the structure parameter of practical training teaching equipment, operating condition data and control input signal are collected;Step two: construct practical training equipment control drive twinborn model;Step three: construct improved DeepONet network, control input signal is embedded modeling and state response prediction, generates state prediction model;Step four: state prediction model is loaded to carry out state response reasoning, generates predicted state response value sequence, and input to practical training equipment control drive twinborn model executes equipment simulation deduction;Step five: simulation process visualization is carried out through user interface;Step six: the actual observation state value sequence of student and the operating condition annotation information are collected;Step seven: incremental fine-tuning is carried out to improved DeepONet network.The application improves practical training simulation interaction authenticity, response prediction accuracy and multi-condition adaptability.

A training simulation system and / or method is applied via a virtual environment. The simulation is an application that allows trainees to engage in highly dynamic, unpredictable, and immersive scenarios, which would not be feasible or cost-effective with traditional training methods. Due to the AI-driven nature of the characters, each interaction is unique, offering diverse and individualized experiences for each trainee. The simulation can be trained via a machine learning network based upon both real-world and virtual scenarios, including actions and reactions of counselors and those under care.

The application relates to the field of underwater escape training, and discloses an underwater escape training simulator, which effectively solves the problem that the submarine may leak water and underwater escape training is needed when the submarine leaks water, and the underwater escape training simulator comprises a top plate, a lifting hook is arranged at the top end of the top plate, an upper connecting rod is arranged at the bottom end of the top plate, an upper frame is arranged at the bottom end of the upper connecting rod, a lower connecting rod is arranged at the bottom end of the upper frame, a lower frame is arranged at the bottom end of the lower connecting rod, a training simulation assembly is arranged in the lower frame, a driving assembly is arranged in the upper frame, the training simulation assembly comprises a submarine simulation cabin arranged in the lower frame, water can enter the submarine simulation cabin from different directions by opening water inlet valves in different directions, seawater enters the submarine from different directions when the submarine is damaged, and the training personnel need to escape from the water surface in the water inlet valve opening environment, so that the training personnel can be conveniently trained.