20 results about "Training outcome" patented technology

The present disclosure provides a method of provisioning a cybersecurity training. Further, the method includes receiving a user data from a user device associated with a user. Further, the user data corresponds to a cybersecurity learning preference. Further, the method includes determining a threat data corresponding to a cybersecurity threat. Further, the method includes generating a simulated training data based on each of the user data and the threat data. Further, the simulated training data corresponds to a simulated environment of one or more of the cybersecurity threat and a computer system. Further, the method may include transmitting the simulated training data to the user device. Further, the training data facilitates the cybersecurity training based on a user interaction with the simulated environment. Further, the method includes receiving an interaction data from the user device. Further, the method includes generating a training result data based on the interaction data.

The invention discloses a photovoltaic operation and maintenance training method based on digital twinning, and the method comprises the steps: extracting a standardized operation process, generating a standardized operation instruction set corresponding to a fault scene, and guaranteeing that an operation instruction is consistent with an actual working condition; embedding the standardized operation instruction set into a high-reality scene, generating an interactive training module, simulating a real operation environment, and outputting training scene data; analyzing operation data of trainees in the interactive training module, optimizing an operation process, and generating a standardized skill migration training scheme; extracting operation feedback data from the skill migration training scheme, adjusting virtual scene parameters in combination with a unified training standard, and generating an optimized training scene data set; and through the optimized training scene data set, updating the interactive training module, circularly executing fault point identification and operation process training, and outputting a training result. The skill level of operation and maintenance personnel and the operation reliability of the power station are remarkably improved.

The invention discloses a method for improving an industrial safety education training effect based on an AI large model. The method comprises the following steps: analyzing, vectorizing and storing latest industrial safety related documents to obtain a safety knowledge base; the related documents comprise industrial standard specifications, laws and regulations and enterprise specifications related to industrial safety; the knowledge base comprises a plurality of sub knowledge bases with different themes and different types; matching an associated target sub-knowledge base from the safety knowledge base based on the training plan, so as to generate an employee training task based on the target sub-knowledge base; based on the training task, utilizing an AI large model to generate a training problem in the training process, and using the training problem for employee training to obtain a training result of the employee; and based on the training result, using an AI large model to generate test questions corresponding to different employees, and examining the employees based on the test questions to obtain an examination result. The training effect of employee safety education can be improved, and potential safety hazards are reduced.

The invention discloses a data processing method and device for VR interactive training of a cross-country container forklift. The method comprises the steps that VR interactive training data information of a user is acquired; the user VR interactive training data information comprises an action data set and an expression data set; processing the action data set to obtain a user action evaluation result; processing the expression data set to obtain a user emotion evaluation result; and according to the user action evaluation result and the user emotion evaluation result, performing personalized training suggestion and training content dynamic adjustment on the VR interactive training system. According to the invention, through efficient acquisition, deep processing and intelligent analysis of multi-dimensional data generated in the training process, the forklift driving operation level and safety awareness of trainees are accurately evaluated, the training result is fed back in real time, and the training strategy is dynamically adjusted, so that the quality and efficiency of the forklift driving VR interactive training are improved, and the training experience is improved. And the actual training cost and the safety risk are reduced.

The invention relates to an immersive training examination platform based on digital twin super high-rise building fire supervisors. The platform comprises a digital twinborn three-dimensional model layer, a fire-fighting supervision and inspection interaction layer, an analysis and scoring layer and an assessment result feedback layer. The digital twinning three-dimensional model layer is used for constructing a fire-fighting building twinning three-dimensional model according to the physical data of the super high-rise building and the fire-fighting facility data; the fire-fighting supervision and inspection interaction layer is used for obtaining interaction information based on the fire-fighting building twinborn three-dimensional model and recording and obtaining an inspection process of a fire-fighting supervisor; the analysis scoring layer is used for carrying out behavior characteristic analysis according to the inspection process of the fire supervisor and carrying out scoring according to a preset scoring rule to obtain a behavior list and a scoring result; and the assessment result feedback layer is used for generating missing items according to the behavior list and generating a training result in a text feedback form in combination with the scoring result. The virtual environment of the platform is used for a fire supervisor to carry out multiple training examinations, a unified evaluation standard is established, and the training examination efficiency is improved.

The present invention relates to the field of integrated control training and evaluation technology, and discloses a method and system for intelligent evaluation of integrated control training results based on personalized learning curves, including: collecting training data of controllers, constructing training intelligent evaluation indicators; performing data processing, calculating indicator vectors corresponding to evaluation indicators; constructing a training evaluation model through a multi-layer perceptron, capturing the relationship between deviation and score, and generating a training result score vector; determining the weight of the evaluation indicator, and calculating the training result; constructing a corresponding learning growth curve, identifying weak knowledge points in training, and formulating targeted plans for future training. The present invention can improve the accuracy and reliability of evaluation results, can comprehensively analyze the ability change trend of controllers, accurately identify their learning achievements and ability shortcomings at different training stages, provide a scientific basis for personalized training design and training program optimization, and thus improve the adaptability and comprehensive operational capabilities of controllers.

The embodiment of the invention provides a dialogue training quality evaluation method, system and device and a medium, and the method comprises the steps: calling target training data, and generating a target training library; in response to a target user, training is performed based on target training data in a target training library, the training comprises multiple rounds of dialogues, and for each round of dialogues, round dialogue information of the target user is acquired, the round dialogue information comprises multiple pieces of dialogue sub-data and multiple dialogue sub-features, and quality data corresponding to the round dialogue information is determined; generating a plurality of candidate training data based on the standard difficulty data and the round dialogue information; and based on the difficulty data and the quality data corresponding to the plurality of candidate training data, determining the round training data of the next round of dialogue. According to the invention, more visual and effective training experience can be provided, training results can be effectively monitored, statistically analyzed, fed back and evaluated in real time, and the training efficiency and quality are improved.

This application provides a training decision-making method, apparatus, equipment, medium, and product, relating to the fintech field or other related fields. It includes: acquiring multimodal data; the multimodal data includes development performance data, job knowledge graph data, and employee behavior data; performing natural language processing and graph neural network processing on the multimodal data to obtain a competency gap profile and an organizational competency report; generating a training path based on the competency gap profile and organizational competency report; and conducting training for trainees based on the training path. The solution of this application improves the reliability of training results.

The invention provides an LLM-based human resource intelligent training method and system, and the method comprises the steps: obtaining historical employee training information, and carrying out the preliminary processing, so as to train a first LLM training model; obtaining enterprise training demand information, outputting a training knowledge base according to the first LLM training model, training employees according to the training knowledge base, and obtaining a first training result; calculating a training matching rate according to a training result, and performing specific fine adjustment on the first LLM training model to obtain an enterprise adjustment model; calculating a staff knowledge conversion rate, obtaining staff knowledge short board information, setting a training vector according to the staff knowledge short board information, performing secondary specific fine adjustment on the first LLM training model through the training vector, and obtaining a staff adjustment model. Historical data utilization and model training and fine tuning are carried out to finally meet the double requirements of enterprises and employees.

This invention discloses an intelligent assessment and evaluation system for power safety training based on machine learning, comprising a data acquisition module, a behavior analysis module, a knowledge assessment module, a comprehensive evaluation module, and a feedback generation module. Through the collaborative work of multiple modules, this invention achieves intelligent management of the entire power safety training and assessment process. The system utilizes machine learning technology to conduct multi-dimensional analysis of trainees' theoretical knowledge and practical behavior, significantly improving the objectivity and accuracy of the assessment. By constructing a power safety knowledge graph and an operational behavior standard library, the system can comprehensively cover various safety scenarios and achieve accurate assessment of trainees' safety awareness and operational skills based on deep learning-based multimodal data fusion analysis. The personalized feedback module can generate targeted training suggestions based on trainees' weaknesses, effectively improving training outcomes. Simultaneously, the system supports remote online assessment, greatly reducing training costs and time investment.

The invention discloses a smart hotel lobby management registration training system, which relates to the technical field of hotel management and training and comprises a user interaction module, a training course management module, a virtual scene simulation module, an intelligent evaluation module, a big data analysis module and a system management module. The user interaction module is used for realizing interaction operation between trainees and the system, the interaction operation comprises information input and training result output, the trainees input personal information, training requirements and the like through the module, and the system displays information such as training course content, virtual scene pictures and evaluation results to the trainees through the module. The user interaction module adopts a plurality of interaction modes such as a touch screen and voice interaction, operation of trainees is facilitated, interaction experience is improved, the intelligent evaluation module and the big data analysis module can find problems and defects of the trainees in time, targeted improvement suggestions are provided, and the training effect is further improved.

This invention provides a semi-physical simulation operation and maintenance training system, method, and medium for pumped storage power stations, relating to the field of power station operation and maintenance training technology. It includes: a control and coordination module, a primary equipment simulation module, a simulated switch module, an interface conversion module, and a physical control panel module. The control and coordination module is used to set fault parameters in the primary equipment simulation module according to operation instructions sent by the operator's workstation, and to generate a training result report based on the response operation data fed back by the physical control panel module. The simulated switch module is used to simulate switch actions. The physical control panel module is used to acquire response operation data executed by trainees and to receive operation instructions input by trainees, controlling the primary simulation module to simulate the operating status of the primary equipment after the fault parameters are set. The technical solution of this invention combines realism and practicality, and can be widely used for new employee training and on-the-job skills enhancement.

This invention discloses an immersive interactive method for virtual training of intravenous infusion nurses, relating to the fields of medical nursing training, virtual reality interaction, and intelligent simulation training. The method acquires standard training content for intravenous infusion, constructs process node models and executable process scripts, and establishes mapping relationships between process nodes and virtual patients, arms and blood vessels, instruments and consumables, and prompts. Combined with an immersive display and interaction device, it collects the trainee's posture, gestures, and object interaction information to achieve process judgment, arm constraint grasping and posture adjustment, puncture status recognition, and multimodal feedback linkage of vision, hearing, and touch, and outputs training results and evaluation information. This method can improve the completeness, immersive realism, and evaluation accuracy of intravenous infusion training processes.

Systems and methods for producing domain-specific data for training generative AI models as described herein systematically acquire, validate, and fine-tune AI models using domain-specific data. In embodiments, this comprises identifying seed documents, extracting keywords, performing refined searches, and scraping relevant content. The data is then pre-processed, chunked, and indexed. Using a retrieval-augmented generation approach, the system evaluates the quality and relevance of the data, ensuring efficient computational resource use and improved model training outcomes. By leveraging expert knowledge and systematic data validation, the accuracy and reliability of domain-specific AI models is enhanced.

The invention relates to the technical field of employee cultivation, and discloses an employee cultivation system based on a user portrait, and the system comprises a plan generation module which is used for generating a corresponding training plan based on the user portrait of an employee; the plan supervision module is used for acquiring supervision data of the employees in the execution process of the training plan and generating behavior models of the employees based on the supervision data of the employees; the training plan is adjusted based on the behavior model of the employee; the evaluation module is used for generating a visual report based on the acquired training result of the employee; the training plan adjusting module is also used for carrying out secondary adjustment on the training plan based on visualization; and the storage module is used for establishing corresponding employee digital archives in combination with the user portraits of the employees. According to the method, dynamic adjustment of the training plan, transparent management of the learning process and closed-loop tracking of the growth path are realized, the training efficiency is remarkably improved, the management cost is reduced, and enterprise talent echelon construction is assisted.

We provide the system. [Solution] A means for generating individualized training content based on the user's objectives and characteristics, A means of providing the generated training content to the user's device, A means of monitoring user behavior in real time during training and providing feedback, A means of analyzing user training results and improving the next training plan, A system that includes this.

A method for SLAM-based parking assist includes determining that a host vehicle is entering a corridor adjacent a target parking slot and determining a potential reusability of at least one of a plurality of previously determined training outcome of a training process for the target parking slot. The training outcome includes training identifying data of a potential parking slot. The method further includes receiving identifying data of the target parking slot, identifying which of the plurality of training outcomes is reusable based on the identifying data of the target parking slot to select an identified training outcome, comparing the identifying data of the target parking slot with the identifying data of the potential parking slot of the identified training outcome, and loading the identifying data of the target parking slot into a SLAM-based parking assist.

A power grid sand table simulation training method, system, medium and product relate to the field of power grid training. The method comprises the steps of determining simulation equipment in a power grid sand table; acquiring actual electrical data of simulation equipment in an actual scene; when a fault occurs in the simulation equipment, a maintenance task is sent to a trainee; when the trainee completes the maintenance task, simulation electrical data and a correct operation process are determined; setting the electrical data of the simulation equipment as simulation electrical data; when the trainee executes the training task, acquiring a simulation operation of the trainee; calculating the error rate of the simulation operation; when the error rate does not exceed a preset threshold value and the average time interval between the simulation operations is smaller than or equal to a preset time interval, adjusting the electrical data of the simulation equipment, and updating a correct operation process; and after the training is finished, determining a training result of the trainee. By implementing the technical scheme, the influence of the power grid sand table equipment fault on the accuracy of the simulation training result of the trainee is reduced.

The embodiments of this specification provide an intelligent AI scenario simulation training method, system, device, and medium. The method includes retrieving target training data and generating a target training library; responding to a target user performing training based on the target training data in the target training library, wherein the training includes multiple rounds of dialogue, and for each round of dialogue: obtaining the target user's round dialogue information; generating quality data corresponding to the round dialogue information based on the round training data and the round dialogue information; generating multiple candidate training data based on the round dialogue information; determining the round training data for the next round of dialogue based on the difficulty data and quality data corresponding to the multiple candidate training data; and sending the round training data and quality data for the next round of dialogue to a user terminal. This specification can provide a more intuitive and effective training experience, can effectively monitor and statistically analyze training results, provide real-time feedback and evaluation, and improve the efficiency and quality of training.

The present application relates to the technical field of health protection training, and particularly relates to an online training system for protection skills based on an IMB model.The present application comprises a training demand acquisition module, an IMB model core training module, an examination and evaluation module and a course optimization module.The IMB model core training module is composed of an information intervention submodule, a motivation intervention submodule and a behavior skill intervention submodule.The examination and evaluation module is used to quantize training results through theoretical examination and PPE putting on and taking off practical operation examination.The course optimization module optimizes training courses based on the training results of the examination and evaluation module and the training results of the IMB model core training module.The present application aims to provide an online training system for protection skills based on an IMB model to solve the problem of limited training effect of the existing training system.