46 results about "Educational training" patented technology

The invention relates to the technical field of information, and discloses an intelligent adaptive education training system based on big data, and the system comprises a data collection and integration module which is used for collecting learning behavior data and physiological data of learners from a plurality of education platforms and physiological data sources; the dynamic student portrait generation module is used for automatically generating and updating a dynamic student portrait according to the learning behavior data and the physiological data collected by the data acquisition and integration module; the personalized feedback and learning path optimization module is used for generating personalized learning feedback according to the dynamic student portrait and automatically adjusting a learning path by utilizing a multi-objective optimization algorithm; the system implementation and optimization module is used for detecting operation of the data acquisition and integration module, the dynamic student portrait generation module and the personalized feedback and learning path optimization module for integration, testing and optimization; and the data acquisition and integration module comprises a multi-source data integration unit.

The invention relates to the technical field of educational training management, and discloses a real-time network online educational training personnel information management method and system, and the method comprises the steps: obtaining behavior telemetering data of a mouse, a keyboard and the like generated when a student interacts with a learning interface; a preset deep learning model is adopted to process the data into student state vectors representing dimensions such as concentration degree and confusion degree in real time; and triggering a management intervention based on the vector. In a preferable scheme, through generating a content cognitive fingerprint, the student state is compared with a standard cognitive mode of teaching content, and cognitive deviation is calculated to realize accurate tutoring. In another preferred scheme, the cognitive coordination degree of the cooperative group is evaluated and guided by calculating a group cognitive synchronization index. According to the method, the intrinsic cognitive state of the student is dominated, multi-dimensional, real-time and predictive management from individuals to groups is realized, and the intervention efficiency and teaching quality of online education are remarkably improved.

The invention relates to the technical field of big data evaluation, in particular to an AI educational training analysis method and system based on big data evaluation, and the method comprises the steps: obtaining a weak link of the operation of a corresponding person from historical operation data, constructing an operation weak link knowledge point graph based on the knowledge content related to the weak link, and obtaining an AI educational training analysis result; performing weak knowledge point association analysis based on the operation weak link knowledge point graph to obtain association conditions of the weak knowledge points, and performing importance weight analysis of the weak knowledge points based on the association conditions of the weak knowledge points and the risk levels of the corresponding weak links obtained through evaluation. The course resource matching analysis is carried out based on the importance weight analysis of the weak knowledge points, the danger degree of weak links is evaluated, and the course resource matching is carried out according to the importance weight of the weak knowledge points, so that personnel can learn and master key knowledge and skills in time, and the risk of accidents caused by misoperation is reduced.

The invention relates to the technical field of vocational education training systems and methods, in particular to a post practical training cultivation system and method based on AR virtual vision, which adopts AR virtual reality, creatively adopts a dynamic environment binding technology, and scans practical training scenes such as laboratories and factory stations in real time through an RGB-D camera. A 3D environment point cloud map is constructed by adopting an SLAM algorithm, virtual equipment is automatically aligned with a real desktop coordinate system, the virtual equipment can be placed on a real desktop and is constrained by a physical shielding relation, for example, a shielded part is automatically hidden when a hand passes through the virtual equipment, and compared with a traditional AR projection technology, the method is more real, the substitution sense and the training sense are stronger, and the method is more suitable for popularization and application. The training of the trainees is further effective, and the post adaptation period is shorter; a multi-modal operation evaluation mechanism is adopted, an operation track is dynamically compared with a standard path, and a deviation thermodynamic diagram is generated in real time; the decomposition operation steps comprise three stages of preparation, execution and verification, scoring is carried out respectively, and training scoring is further realized.

The invention belongs to the field of educational training, and mainly relates to an AI digital human modeling method based on a user portrait, which comprises the following steps: setting model constraint conditions by combining course details, and generating a digital human appearance conforming to course features by using a conditional generative adversarial network; in the teaching process, real-time video data of a teaching site is acquired by using image acquisition equipment, identity and emotion information is extracted through a facial recognition and detection algorithm, and behavior logic of an AI digital human assistant is triggered according to an analysis result to assist a teacher in regulating and controlling the classroom rhythm; in combination with the learning record and the answering behavior data, constructing a knowledge point mastering graph, evaluating the learning condition of the student, and analyzing individual characteristic data through a machine learning algorithm; along with accumulation and updating of the data, the user portrait is dynamically improved, so that targeted teaching suggestions are provided for teachers, behavior logic and teaching paths of the AI digital human assistant are optimized, and personalized and differentiated teaching support is realized.

The invention discloses a VR platform control method and system for synchronous interaction of multiple education terminals, and the method comprises the steps: receiving user posture data and operation instructions uploaded by multiple education terminal devices in real time, and generating an initial interaction instruction set of each education terminal based on the posture data and the operation instructions; performing space-time consistency verification on the initial interaction instruction set, constructing a synchronous interaction feature matrix, and decomposing the synchronous interaction feature matrix into a spatial position feature vector and a time sequence feature vector; performing dynamic weight distribution and delay optimization on the spatial position feature vector and the time sequence feature vector by using a multi-objective collaborative optimization algorithm to generate an optimized collaborative control strategy; and generating a multi-education-terminal synchronization instruction based on the cooperative control strategy, and uniformly scheduling the rendering content and the interaction feedback time sequence of each education terminal device. According to the embodiment of the invention, the interaction synchronism and operation consistency of multiple education terminals in VR collaborative training can be improved, and the immersion of education training and the actual teaching effect are enhanced.

The invention discloses an educational training device and system based on a cloud platform, and the device comprises a supporting assembly, the upper end of the supporting assembly is fixedly connected with an operation table, the front part of the upper end of the operation table is fixedly connected with a rubber pad, and the rear part of the upper end of the operation table is connected with a display assembly in a penetrating manner. Two bases are fixedly connected to the front portion and the rear portion of the lower end of the supporting assembly correspondingly, drawers are connected to the lower side of the right portion and the lower side of the left portion of the front end of the supporting assembly in a penetrating mode correspondingly, a groove is formed in the middle of the front end of the supporting assembly, a clamping groove is formed in the upper end of the operation table, and first groove bodies are formed in the upper ends of the supporting assembly and the operation table correspondingly. And a second groove body is jointly formed in the left portion of the upper end of the supporting assembly and the left portion of the upper end of the operation table, and a telescopic air cylinder is fixedly connected to the lower groove wall in the second groove body. According to the educational training device and system based on the cloud platform, the use angle of the training device can be adjusted, and the training device is convenient to store.

An interactive live broadcast system for educational training disclosed by the present invention comprises a counterweight bottom plate, an electric telescopic rod is installed in the middle of the top end of the counterweight bottom plate, a mounting plate is connected to the telescopic end of the electric telescopic rod, a camera is arranged at the top end of the mounting plate, a transverse plate is arranged on one side of the counterweight bottom plate, and a vertical plate is installed in the middle of the top end of the transverse plate. A second rotating shaft is arranged at the top end of one side wall of the vertical plate. The device has the beneficial effects that through the design of the extension plate and the telescopic rod, one end of the extension plate is connected with one side wall in the supporting bottom plate, redundant wires can be wound in a wire groove of the wire plate, then a spring is extruded to rebound, the extension plate on the telescopic rod and the wire plate are driven to rebound, and the wire plate limits the wires; and through the design of the transverse plate, the threaded holes, the threaded mounting rods and the supporting rods, the supporting rods can be conveniently mounted in the different threaded holes at any time, and the position of the light supplementing lamp can be adjusted according to the actual working condition.

1. Name of the designed product: humanoid robot. 2. Use of the designed product: used in public service or education training service. 3. Design points of the designed product: in shape. 4. Picture or photo best indicating the design points: perspective view 1.

The invention relates to the technical field of simulation training, in particular to an immersive education training system based on virtual reality and augmented reality, which comprises a scene acquisition and construction module for analyzing a track to generate a virtual-real contrast chart, and a virtual-real contact fusion module for calibrating a boundary to form a stable mapping table, the teaching action mapping module is used for generating an action synchronization set by comparing paths, the training task connection module is used for integrating actions to generate a task continuous linked list, and the immersion behavior presentation module is used for scheduling multimedia elements and dynamically adjusting feedback to generate an educational training interaction state set. According to the method, virtual-real dynamic mapping is constructed by fusing the contour and the track, so that the virtual object and the real identifier are consistent in direction and stable in form, continuous association of the action track and the virtual path is maintained, the motion trend adaptively adjusts the interaction area, the action chain association ensures the training logic traceability, and the multimedia feedback delay is corrected to maintain perception synchronization. Visual connectivity and feedback accuracy are optimized, and an immersion training environment capable of being dynamically adjusted is formed.

The application relates to the technical field of vocational education training systems and methods, in particular to a post training and cultivating system and method based on AR virtual vision, which adopts AR virtual reality, innovatively adopts dynamic environment binding technology, and through real-time scanning of a training scene such as a laboratory or a factory workstation by an RGB-D camera, a 3D environment point cloud map is constructed by adopting a SLAM algorithm, virtual equipment is automatically aligned with a real desktop coordinate system, the virtual equipment can be placed on the real desktop, and is constrained by physical shielding relationship, such as automatically hiding a shielded part when a hand passes through the virtual equipment, compared with traditional AR projection technology, the system is more real, has stronger substitution and training feeling, the training of students is further effective, and the period of adapting to a post is shorter; a multi-modal operation evaluation mechanism is adopted, operation tracks are dynamically compared with standard paths, and a deviation heat map is generated in real time; operation steps are decomposed into three stages of preparation, execution and verification, and are respectively scored, and training scoring is further realized.

The design relates to the chassis of a driving simulator. The design is primarily used for education, training and gaming. The design is manifested in the combination of the shape and pattern of the product. The view that best represents the design is a perspective view. A bottom view is omitted. The design sought to be protected does not include color. 1.1) Perspective view; 1.2) Right side view; 1.3) Left side view; 1.4) Plan view; 1.5) Front view; 1.6) Rear view

The invention discloses VR-based safety education training equipment, which comprises a structure main body, and is characterized in that the structure main body comprises a base, and the base is provided with a practical operation experience simulation area and a simulator equipment installation area; the practical operation experience simulation area is provided with a peripheral guardrail, a simulation platform is arranged in the peripheral guardrail, a stand column is arranged on the simulation platform, an operation panel and VR glasses are arranged at the upper end of the stand column, and a simulation scene driving device is arranged in the simulation platform; the simulator equipment mounting area is provided with a substrate and an equipment protective cover, the substrate is provided with a host mounting table, the host mounting table is provided with a simulator host, the operation panel is in control connection with the simulator host, and the simulator host is internally provided with a plurality of groups of simulation scene modules; by wearing the VR glasses and standing on the simulation platform, simulation scene practical operation experience is carried out, a trainee can participate in the simulation platform more visually, and the simulation platform has the advantage of being high in experience authenticity, so that a better educational training effect is achieved.

The invention provides a security defense system and method for an educational training platform, a medium and a product. The system comprises a traffic protection layer used for processing network traffic to obtain first feature data; the container security layer is used for processing the network traffic to obtain second feature data; the privacy protection layer is used for processing the network traffic to obtain third feature data; the gating router is used for constructing feature vectors based on the three kinds of feature data, determining weights of n expert models according to the feature vectors, arranging the n expert models according to a descending order of the weights, and selecting the first k expert models to identify attack behavior information in the network traffic, k is greater than or equal to 1 and less than or equal to n, and k and n are positive integers; and the intelligent decision-making layer is used for generating a defense strategy based on the attack behavior information, evaluating the effect of the defense strategy to obtain effect information corresponding to each expert model, and feeding back the effect information to the gating router.

The application relates to the technical field of education and training equipment, and discloses an education and training device with a remote education function, which comprises a mounting frame, a wall is arranged behind the mounting frame, the mounting frame is fixedly installed on the wall, and moving holes are formed in the left and right side walls of the mounting frame. Through the cooperative design of "double blackboard alternating use + automatic linkage wiping", the pain point that the traditional blackboard needs to be manually interrupted for wiping after being written full is effectively solved; when the front blackboard is written full of traces, a teaching staff only needs to manually push the blackboard, and the blackboard can be stably moved by means of a "gear-rack meshing + slide column-back-shaped groove guiding" structure; and the "dry wiping-wet wiping-dry wiping" integrated cleaning is synchronously completed in the moving process; under the condition of proficiency, the whole operation does not need to interrupt the teaching explanation, the teaching rhythm caused by wiping the blackboard in the remote education recording is avoided, and the continuity of teaching content output and the physical health of the teaching staff are ensured.

The invention discloses an unmanned education training method and system for traffic industry workers, and relates to the technical field of education management, and the method comprises the steps: obtaining the eye image data of a worker; verifying the identity of the worker according to the eye image data, and determining a target worker passing the identity verification; according to the learning record of the target worker, obtaining a knowledge point mastering probability vector of the worker through a knowledge tracking model; screening out a course candidate set by taking maximization of course knowledge coverage and minimization of course difficulty deviation as targets; according to the knowledge point mastering probability vector and the course candidate set, through a collaborative filtering recommendation model, recommending a course for the target worker; monitoring the learning state of the target worker; and performing integral excitation on the target worker according to the learning state. According to the invention, personalized curriculum recommendation of individualized teaching can be realized, and the learning enthusiasm of workers and the overall training effect are effectively improved.

1. Name of the product in this design: Humanoid Robot. 2. Purpose of this design: for education and training or for accompanying children. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: a 3D model.

The invention discloses a courseware and test question integrated intelligent generation method for vocational education training, and belongs to the technical field of vocational education training. The method comprises the following steps: collecting multi-source target vocational education training data, converting the data into a structured text, and performing redundancy removal, tagging and hierarchical organization to obtain a standard structured text; core elements are extracted from the standard structured text through a natural language processing technology, attribute information is labeled, a logic relation is recognized, and a domain knowledge graph is constructed; matching a courseware template, and calling a large model to generate adaptive courseware by taking hierarchical logic of the map as a courseware outline; and extracting knowledge points and skill points in the adaptive courseware, matching exercises by combining assessment and exercise element nodes in the atlas, generating a test question package according to a preset question type and difficulty proportion, and exporting the multi-format courseware and the test question package. According to the invention, integrated intelligent generation of courseware and test questions is realized, the resource generation efficiency and post suitability of vocational education training are improved, and the consistency of learning and examination is guaranteed.

A SMART DETECTION DEVICE FOR AGRICULTURAL DISEASE AND EDUCATIONAL TRAINING

The invention relates to a neural feedback training system and method based on aperiodic electroencephalogram components, and the system comprises an electroencephalogram collection device, a data processing unit and a feedback presentation unit. In a baseline stage, an electroencephalogram power spectrum is decomposed to obtain an individual aperiodic index, and a baseline mean value and a standard deviation are calculated; meanwhile, estimating and storing an eye movement regression coefficient; in a real-time training stage, the same processing chain is multiplexed to carry out filtering, re-reference and eye movement artifact removal on electroencephalograms in a sliding window, a current aperiodic index is extracted, standardization is carried out relative to a baseline, double-target visual feedback is driven through nonlinear mapping and smooth interpolation, and training success is judged based on a threshold value and continuous detection. According to the scheme, individualization and ecological effectiveness are improved, interpretability is enhanced, a low-delay stable closed loop is achieved, and the method is suitable for scenes such as cognitive control training, pressure emotion regulation and educational training.

The application relates to the technical field of education training, and discloses a training subject management method and system based on knowledge classification. The system comprises a knowledge classification unit, a knowledge evaluation unit and a matching management unit. Through unique algorithms and technologies, knowledge is accurately divided into three types, namely, basic knowledge, advanced knowledge and application knowledge. For example, basic knowledge is compared by using a keyword library, advanced knowledge is constructed to calculate a correlation degree, and application knowledge is analyzed in combination with actual cases, thereby laying a solid foundation for subsequent training. A standardized evaluation process is designed for different types of knowledge, and the knowledge level of a trainer can be comprehensively understood. Different recommendation strategies are formulated according to the level of each knowledge type of the trainer, for example, excellent basic knowledge is focused on advanced and application knowledge, and large projects are recommended for excellent application knowledge, so that the learning needs of different trainers can be met, the problem of mismatched learning content is avoided, the training effect and efficiency are improved, and the knowledge and application ability of the trainer is more efficiently improved.

The invention relates to the technical field of safety education training management, and discloses a safety education training management method and system. The method comprises the steps of generating a core data seed containing initial parameter definition and parameter evolution rules, establishing a corresponding question bank, and performing capability detection and comprehensive evaluation. A plurality of parameter evolution interaction paths are constructed with the seeds as starting points, and observation sentinel points and behavior signal monitors are arranged on the paths and used for capturing state switching, behavior triggering and other original signals in the training process. When a signal is responded, dynamic mapping of the signal to a specific whistle point on a specific path is established, and the signal is analyzed into an adjusting or resetting instruction for a specific parameter according to the dynamic mapping. According to the method, automatic evolution of management parameters according to preset rules is realized, discrete events in training can be accurately converted into control instructions for driving self-optimization of the system, and closed-loop and self-adaptive regulation and control of a safety management strategy are completed.

The invention discloses a knowledge graph construction method and system for an educational training scene, and relates to the technical field related to knowledge graphs, and the method comprises the steps: calling educational training scene information, carrying out the multi-source collection based on the educational training scene information, and obtaining a multi-source heterogeneous data set; performing knowledge extraction based on the multi-source heterogeneous data set, and constructing an initial knowledge graph; performing teaching demand matching on the initial knowledge graph according to a teaching target to generate a domain knowledge graph; and generating a teaching resource recommendation path according to the domain knowledge graph in combination with the educational training scene information, and executing the teaching resource recommendation path to formulate a visual teaching plan. The technical problem that in the prior art, educational training information is dispersed, the matching degree of teaching resources, teaching targets and student requirements is low, and consequently an educational knowledge graph is lack of accuracy and high efficiency is solved, knowledge graph construction meeting the teaching requirements is achieved, and the educational knowledge graph construction efficiency is improved. The technical effect of improving the educational knowledge graph accuracy and the educational training efficiency and quality is achieved.

The invention discloses a team standardized construction informatization management system and method and a medium, and relates to the field of informatization management, and the system comprises a data collection module which is used for collecting team field data of a team production field in real time; the information management module is used for carrying out digital management on information of team basic management, team scheduling, safety activities, double prevention mechanisms, educational training and emergency management; the real-time monitoring module is used for dynamically monitoring the team field data and performing early warning when each monitoring index of the team field data exceeds a respective corresponding early warning threshold value; the data analysis and decision support module is used for analyzing the collected team field data to obtain a data analysis result; and the training and assessment module is used for providing online training courses according to the requirements of team members, and standardization, informatization and high efficiency of team safety management are realized.

1. The name of the design product: subway integrated machine. 2. The use of the design product: the design product is used for subway education and training. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view.

The present invention relates to a virtualization-based education / training system customized for each power plant situation and each level of field operators, the system comprising: a communication module through which a main control room operator and a field operator can exchange information in real time; and a virtualization system including at least one user interface for providing a virtual environment of a power plant and providing a customized education environment corresponding to the level of a field operator and a power plant situation provided by a training instructor. The communication module and the virtualization system are connected through communication such that the virtualization system provides the field operator's educational situation to the main control room operator in real time.

The application discloses a data-based intelligent education training management system for guiding training subjects or trainees to make up for knowledge defects existing in a training process, comprising: a collection module for collecting multi-modal information of the trainees, a creation module in communication connection with the collection module and used for establishing multi-modal learning models from the multi-modal information, an analysis module in communication connection with the creation module and used for acquiring the multi-modal models, a detection module in communication connection with the analysis module, and a decision module in communication connection with the analysis module. The system has intelligent data information collection capability, data information analysis capability, diagnosis capability, feedback capability and improvement effect evaluation capability after being built, has the characteristics of full sample, multi-dimensional and multi-modal information, reality, accompanying, individualization, instant feedback and the like, efficiently serves the trainees to efficiently learn, reduces the burden of teachers and students, and helps the trainees to solve problems existing in a learning process.

The invention discloses an online education training intelligent pushing system based on AI adaptive learning, and belongs to the technical field of online education training. The system comprises a data acquisition module, an AI adaptive learning analysis module, a user portrait construction module, a push strategy generation module, a push execution module, a feedback optimization module, a content updating module and an authority management module. Through integration of basic information, real-time learning behaviors, learning achievements and environment preferences, comprehensive coverage and accurate capture of learning data are realized, accurate prediction of short-term and long-term demands of a user is realized based on a dynamic iteration model of an AI adaptive learning analysis module and a multi-dimensional label system of a user portrait construction module, and the user experience is improved. According to the method, learning state changes, knowledge weak points and personalized preferences of the user are captured, and a comprehensive and three-dimensional user portrait is generated, so that the pushed content fits the current learning demand of the user, adapts to the ability level and learning habits, and scientific generation, stable execution and continuous optimization of a personalized pushing strategy are realized.

The invention discloses an educational training assessment score drift calibration method, which relates to the technical field of education and comprises the following steps: preprocessing a multi-source evidence stream to generate a structured alignment evidence stream; multi-dimensional features are extracted based on the structured alignment evidence flow and are fused to generate evidence entropy fringes; comparing the evidence entropy fringes with standard entropy fringes of a matched steady-state anchor section in a question bank, constructing a total drift potential field, and decomposing the total drift potential field into equipment, environment and acquisition link drift components; based on each drift component, calibrating the original scoring result through a nonlinear calibration function to generate a preliminary calibration score; and evaluating the credibility of the evidence entropy fringes and the coverage degree of the steady-state anchor section, selecting to execute a normal calibration mode or a self-amplitude-limiting calibration mode according to an evaluation result, and outputting a final calibration score and a score credible interval. Through drift traceability and multi-dimensional evidence fusion, root diagnosis and self-adaptive interpretable calibration of score deviation are realized, and cross-batch comparability and decision support value of assessment scores are improved.

The invention relates to the technical field of information, and discloses a music education training management method and system.According to the scheme, objective and comprehensive learning data are obtained through a multi-dimensional data acquisition system S1, quantification and standardization of ability evaluation are achieved through acoustic feature analysis and deep learning modeling S2, and the ability evaluation efficiency is improved. A logic structure of course content is computable through S3 course knowledge graph modeling, individuation of course recommendation is realized through S4 multi-dimensional difference calculation and a self-adaptive matching strategy, closed-loop optimization of a teaching process is realized through S5 real-time monitoring and a dynamic correction mechanism, a qualitative teaching decision is converted into a quantifiable and optimizable mathematical model, and the teaching process is optimized. And the self-adaptive system converts static course allocation into dynamic response to student ability change.