130 results about "Training needs" patented technology

The invention discloses an intelligent oral English training system and method based on Prompt engineering, and relates to the technical field of oral English training. According to the method, a user is allowed to freely describe training requirements by using a natural language, the system automatically constructs a training Prompt, and personalized customization is realized; content deviating from a training target is accurately recognized through a deviation question detection module, a user is guided to return to a theme through real-time voice or text, and effectiveness and pertinence of training are guaranteed; a clear template definition ensures systematicness and reproducibility of a training task, and clear control and evaluation of a teaching target are facilitated; in combination with voice recognition, voice synthesis and text generation, natural interaction in a real context is realized, and the training experience is improved; on the basis of multi-dimensional automatic evaluation of a keyword hit rate, pronunciation quality and the like, personalized learning suggestions are supported; teachers are supported to generate training tasks in batches, students are supported to customize scenes, and different education environment requirements are met.

The invention provides an intelligent recommendation scheduling method and system for training resources, and relates to the technical field of data processing, and the method comprises the steps: obtaining a position data set and a resource data set, determining a subject association relationship and a position mapping relationship according to the position data set and the resource data set, extracting subject constraint information and position dependence information, performing time matching on the training demand duration and the resource available duration of each subject to obtain a candidate scheduling pair group set, performing resource conflict detection, removing conflict pair groups in the candidate scheduling pair group set, sorting the candidate scheduling pair groups according to position dependence information, extracting a candidate resource set corresponding to each subject, calculating a score value of each candidate resource to obtain a resource score set, and performing resource scheduling on the candidate resource set according to the score value of each candidate resource. And selecting the resource identifier with the maximum score value in each subject as a recommended resource to obtain scheduling plan data. According to the invention, the resource scheduling can be comprehensively judged under the condition of limited resources.

The invention discloses a power plant thermotechnical DCS comprehensive training system, and relates to the technical field of thermotechnical training, and the system comprises the steps: carrying out the technical analysis of a power plant thermotechnical process based on a DCS comprehensive training system, and determining the training demand information; determining a plurality of learning paths, and constructing DCS training environment parameters; obtaining user test data, making a plurality of training plans for training based on the user test data, and determining a plurality of training results; screening the plurality of training plans to generate a recommended review list; and obtaining a thermotechnical training information set, and performing operation optimization verification on the power plant. The technical problems that in the prior art, a complex operation scene of a thermal DCS (Distributed Control System) of a power plant is difficult to truly simulate, and personalized training paths for different user requirements and skill levels are lacked, so that training pertinence is insufficient, learning evaluation is incomplete, and skill improvement efficiency is poor are solved. The technical effects of enhancing the training effect and improving the skill improvement efficiency are achieved.

The invention discloses a medical training evaluation method and system based on an intelligent simulation patient, and relates to the field of artificial intelligence technology and medical simulation, and the method comprises a virtual patient model construction step, a multi-modal perception step, an intelligent interaction step and an intelligent evaluation step. By integrating voice recognition, natural language understanding, facial expression recognition, gesture recognition and virtual reality technologies, a high-simulation and high-interactivity intelligent patient model is constructed for medical students or clinical medical staff to perform diagnosis and treatment training and skill operation assessment. The virtual patient model supports custom information such as age, gender, race, medical history, living habits and the like, different virtual patient images and different pathophysiological states are generated, and personalized learning requirements of users are met. In addition, targeted training suggestions are provided, the training difficulty and content can be adjusted according to the performance of the user, and different training requirements are met.

The invention relates to the field of VR health education, and discloses a respiratory training health education system based on a VR technology, which comprises a VR health education system, and the VR health education system comprises a data collection module. A highly real VR immersive respiratory training scene is constructed, and the immersion feeling of a user is improved through fine 3D modeling and a vivid light and shadow effect; secondly, according to the physical condition and training requirements of the user, designing a personalized breathing training mode, including breathing rhythm adjustment, deep breathing practice and the like, and giving corresponding training guidance by monitoring breathing data of the user in real time; and finally, establishing a training effect evaluation mechanism, and by collecting and analyzing data of the user in the training process and generating a training report, providing visual training effect feedback for the user, providing a VR respiratory training environment with more realistic and immersive feeling, realizing a personalized and targeted respiratory training mode, and providing training effect feedback capable of being quantitatively evaluated.

The invention discloses a new line training demand analysis method based on data driving, and relates to the technical field of computers. The method aims at solving the problems that training demand analysis depends on subjective experience, data islands are serious, response lags and quantitative prediction models are lacked in the prior art. The method comprises the steps of collecting and integrating multi-source heterogeneous data such as physical assets, human capital and process knowledge; constructing a time sequence dynamic association map representing the preparation state; predicting a future preparation state by using the space-time diagram neural network model; quantizing a personnel capability gap based on the prediction result and the operation baseline, and generating a capability gap matrix; performing priority ranking and clustering on the training requirements in combination with the key weight of the system to form a structured training theme; and dynamically generating a training plan, and updating the atlas in a closed-loop manner through training feedback data. Accurate prediction, quantitative evaluation and adaptive optimization of training requirements are realized, and scientificity and foresight of new line preparation are improved.

The invention provides a method and device for determining a training plan, electronic equipment and a storage medium, the method is applied to the technical field of exercise training, and the method comprises the following steps: in response to a training plan generation request for a target competition, obtaining a current physical fitness parameter of a target user and a residual training duration of the target competition, the target physical fitness parameters of the target competition are obtained; determining a total training load according to the current physical fitness parameter, the target physical fitness parameter and the residual training duration; based on the total training load and the residual training duration, period training loads of a plurality of training periods in the residual training duration are determined; and generating a training plan of each training cycle based on the cycle training loads of the plurality of training cycles. According to the method, when the training plan is made for the user, the generated training plan has pertinence and meets the requirements of the target competition and the training requirements of the user, the user is prevented from being over-trained, and therefore the user can obtain the best training effect in the training process.

The invention belongs to the technical field of ship device training, and particularly relates to a ship device virtual reality training system. Comprising a scene virtual module, a training simulation module, a real-time rendering control module, a three-dimensional scene module and a virtual interaction module. The scene virtual module creates a culture model; the training simulation module provides a training interaction algorithm and generates interaction content; the three-dimensional scene module is used for tracking the three-dimensional posture of the motion camera and positioning the visual angle of a virtual scene; the virtual interaction module is used for generating tracking data according to the human-computer interaction information and generating virtual feedback information according to interaction content; the auxiliary module is used for generating training data according to training requirements and providing generation and output of contents such as training effects, notification information and evaluation information; the virtual reality training system for the ship device is mainly used for further improving the virtual reality training effect of the ship device and providing a technical route for expanding training content and optimizing a training scheme.

The invention relates to the technical field of training management, and discloses a training management system, terminal equipment and a storage medium, and the system comprises a process management module, a task distribution module and an examination module. The process management module is used for responding to employee training requirements so as to generate corresponding training items and training processes of the training items according to the training matrix of the working posts of the employees; the assessment module is used for assessing the employees after the employees execute the training process, acquiring assessment data corresponding to the training items, and updating qualification data of the employees according to the assessment data; and the task allocation module is used for screening employees meeting the qualification data according to the to-be-allocated tasks when the to-be-allocated tasks exist, and allocating the to-be-allocated tasks to the employees. Through the system, a corresponding training process can be generated according to employee posts, and automatic task allocation can be performed according to employee qualification.

The embodiment of the invention discloses an electrical operation ticket training method and device, electronic equipment and a storage medium. The method comprises the steps of obtaining a first set of training questions from a pre-constructed operation ticket question bank based on a question type selected by a user; obtaining an answering result of answering the first set of training questions by the user; and obtaining subsequent training questions from the operation ticket question bank based on the answering result of the first set of training questions, so that the user answers the subsequent training questions and learns corresponding operation ticket knowledge. According to the embodiment of the invention, personalized training contents can be provided for different users, the training efficiency can be improved, and the training requirements of the users can be fully met.

The invention relates to the crossing field of a medical rehabilitation training technology and a computer simulation technology, in particular to a postpartum rehabilitation simulation training demonstration device and a use method thereof. The training assembly comprises a dredging massage piece, a uterus simulation piece and a moxibustion piece which are arranged in the model body; the driving assembly comprises a transmission piece and a pressing piece; the transmission piece comprises an external connection block arranged in the model body and a transmission groove formed in the upper end face of the external connection block. The pressing piece comprises a lower pressing shaft arranged on the inner wall of the model body and a rotating shaft arranged on the inner side of the lower pressing shaft; massage rehabilitation of the abdomen, the mammary gland and the uterus can be achieved through a plurality of components in the training assembly, the training requirements of personnel are met, meanwhile, downward pressure is converted into power of the triggering assembly through the pressing piece, and whether the force is appropriate or not is judged through responses of the response pieces at different positions; and the accuracy of the pressing position and force during personnel training is improved.

The present disclosure provides a method and related equipment for automatically recommending training courses, which obtains multiple course recall candidate sets by analyzing and processing user personal information and course information collected by an education platform from multiple aspects, and selects a corresponding number of courses from the multiple course recall candidate sets according to a predetermined weight, thereby obtaining a multi-channel course recall candidate set for recommending courses to users. It realizes grouping users for analysis and calculation according to user job classification, thereby improving calculation efficiency and data analysis accuracy, and the analysis results are more in line with the training needs of enterprises and individuals, thereby achieving accurate course recommendation.

The present application relates to the field of artificial intelligence technology, and in particular to a method for training and generating personalized digital devices based on multimodal information fusion. The method comprises: generating an initial intelligent agent and multiple demand scenarios based on a training data packet, and constructing a training model based on all demand scenarios; obtaining a user's feature data packet, and setting a first-level training strategy based on the feature data packet and the training model; generating a first-level intelligent agent based on the first-level training strategy; generating a training data packet by collecting multimodal data, constructing an initial intelligent agent and multiple user demand categories based on the training data packet, establishing corresponding demand scenarios based on different user demand categories, and setting training sub-strategies corresponding to each demand scenario, thereby achieving personalized training needs for different types of users. The method collects long-term user preference data to iteratively train the initial intelligent agent, constructs a first-level intelligent agent that adapts to the user, and improves the user's interactive experience.

The invention discloses a video-based omni-directional remote rehabilitation training system, a video-based omni-directional remote rehabilitation training method and a medium, which are characterized in that a digital standardized training video library classified according to four stages of PT physical therapy is established, and more than 700 digital standardized training videos such as joint activity, balance training, gait correction and the like are covered; it is ensured that the training content is scientific and covers the whole period and all directions of rehabilitation training; rehabilitators generate personalized training schemes in combination with rehabilitation scene types (hospitalization / home / community / old-age care institutions) and clinical data and in combination with remote video evaluation of the rehabilitators, and training requirements in different environments are met. By capturing actions of limb joint angles, joint point motion trails and muscle force changes, a training action deviation rate is calculated and is fed back and output to a rehabilitation teacher in a grading manner, so that the training standardability is remarkably improved; rehabilitators can manage multiple patients online at the same time, remotely check training percentage data, adjust schemes and generate rehabilitation notes, and efficient, accurate and personalized rehabilitation guidance services are provided for the patients.

The present invention provides a method and system for intelligent recommendation and scheduling of training resources, relating to the field of data processing technology. The method comprises: obtaining a position data set and a resource data set, determining subject association relationships and position mapping relationships based thereon, extracting subject constraint information and position dependency information, performing time matching between the training requirement duration of each subject and the available resource duration, obtaining a set of candidate scheduling pairs, performing resource conflict detection, removing conflicting pairs, and sorting them according to position dependency information, extracting a set of candidate resources corresponding to each subject, calculating a score for each candidate resource, obtaining a resource score set, selecting the resource identifier with the largest score in each subject as a recommended resource, and obtaining scheduling plan data. The present invention can make a comprehensive judgment on resource scheduling when resources are limited.

The utility model provides an adjustable transfer type shoulder push training device, which relates to the technical field of fitness equipment and comprises a bottom support, a supporting component fixedly connected to the top end of the bottom support, a torsion component fixedly connected to the outer side of the supporting component, an auxiliary component fixedly connected to the outer side of the torsion component and comprising a moving column. The two moving columns are arranged, the close sides of the two moving columns are slidably connected with connecting columns, the outer sides of the moving columns are in threaded connection with second rotating blocks, and the ends, away from the connecting columns, of the moving columns are fixedly connected with auxiliary cushion blocks, so that a user can adjust equipment according to personal training requirements, training is more in line with personal body types, and the training effect is improved; and by adjusting the angle and resistance of the shoulder push, the angle can be adjusted according to users with different heights, the discomfort or injury risk caused by misoperation of players for green hand training is effectively reduced, the equipment is more convenient and safer to use, and the device is suitable for wider user groups.

A height reach device includes a support frame and a main body. The support frame includes a first vertically erected component, a second component connected to the lower end of the first component and inclined upwards away from the first component, and a third component supported between the first and second components. The main body includes an integrally formed touch portion and a connecting portion. The first component connects to an external supporting facade. The second component has a slide rail extending along its inclined direction. The connecting portion is slidably connected to the slide rail. The touch portion is located on the side of the connecting portion away from the second component. When the connecting portion moves relative to the slide rail, the height of the touch portion and the distance between the touch portion and the first component can be changed. Because the height of the touch portion and the distance between the touch portion and the supporting facade are adjustable, this height reach device can meet the training needs of people at different heights and reduce the probability of people hitting the supporting facade, ensuring safe use.

To resolve issues of high costs of online English conversation lessons and the needs for natural English training.SOLUTION: A system for patent application is provided, the system incorporating ChatGPT as an alternative to online English conversation lessons.SELECTED DRAWING: Figure 1

The invention discloses a training evaluation method, device, equipment and program product. According to the scheme, the method comprises the steps of performing semantic analysis on training requirement description input by a user based on a natural language processing technology, and constructing an evaluation dimension system comprising a plurality of evaluation dimensions and logic relationships among the evaluation dimensions; for each evaluation dimension in the evaluation dimension system, selecting an adaptive target evaluation model from a plurality of corresponding candidate evaluation models to generate a model scheduling strategy for mapping each evaluation dimension to the corresponding target evaluation model; wherein the candidate evaluation model is used for executing evaluation calculation of the evaluation dimension to which the candidate evaluation model belongs. And according to the model scheduling strategy, calling a corresponding target evaluation model to evaluate the training process data, and obtaining an evaluation result corresponding to each evaluation dimension. And according to the logic relationship in the evaluation dimension system, integrating the evaluation result of each evaluation dimension, and generating a target evaluation result for the training process data.

The invention discloses a trainer for training bicycle pattern riding and an operation method thereof.The trainer comprises a trainer body (comprising a trainer front fork, a main frame and a pedal mechanism), a positioning training mechanism, an anti-turning mechanism and a gravity center leaning mechanism, and the positioning training mechanism is composed of two wheels, two drop-shaped tires and a first supporting shaft; the water-drop-shaped tire is installed on a wheel hub, the tip end of the water-drop-shaped tire has a lifting angle alpha around the axis of the first supporting shaft, and alpha ranges from 0 degree to 60 degrees. All the components are matched with one another to form a complete training system, and the training requirements of riders at different levels can be met. Through symmetrical layout of double wheels, special design of water-drop-shaped tires, a difficulty-adjustable system and a multifunctional auxiliary mechanism, the problems of potential safety hazards and technical faults in pattern riding training are solved, multi-scene training including rear wheel bicycle fixing, front wheel bicycle fixing, handlebar rotating and the like is supported, and the multi-scene riding training device is suitable for being used by riders of different levels.

This invention discloses a training device for fire protection installation skills, belonging to the field of fire protection training technology. It includes a training cabinet, which is a hollow rectangular box. Multiple sets of sensors are fixedly installed at the front end of the cabinet using screws. Cable slots are provided on both sides of the cabinet at the corresponding sensor positions. The sensors can be quickly disassembled and fixed using modular components. Tightening the screws moves the abutment block, causing the first pull rod to pull the clamping arms closer together along the first guide rod. The triangular clamping blocks on the clamping arms can accommodate screws of different sizes, improving clamping force and compatibility. Simultaneously, a first compression spring automatically resets the abutment rod and clamping arms. Loosening the screws completes sensor disassembly without manual reset, simplifying the operation process and meeting the training needs of repeated disassembly and assembly. This allows trainees to efficiently practice sensor installation and fixing operations, closely matching actual fire protection installation scenarios and improving the practicality and efficiency of the training.

This invention belongs to the field of medical teaching aids technology, specifically a cardiopulmonary resuscitation (CPR) first aid skills training device, including a head training module, a neck connection module, a chest training module, a base platform, and a control module. The head module includes a head shell, a simulated oral cavity, an angle sliding shaft, and a sensing unit. The neck module is equipped with an automatic closing device to achieve coordinated airway opening and closing. The chest module incorporates a compression simulation unit, a vibration module, and electrode pressure pads. The control module coordinates data transmission and feedback from all units. This invention solves the problems of existing CPR training devices, such as limited functionality, inaccurate operation detection, unrealistic scenario simulation, delayed feedback, and scattered assessment data. These devices fail to provide comprehensive error correction guidance for trainees, struggle to recreate realistic scenarios such as airway obstruction and insufficient ventilation, resulting in poor training effectiveness and failing to meet the needs of precise clinical emergency training. This invention achieves accurate capture of the entire operation process, real-time feedback, and standardized assessment, improving the professionalism and practicality of the training.

The invention provides a hand rehabilitation training control system and method, and relates to the technical field of rehabilitation medicine. The system comprises a client, a main control unit, a power mechanism and a plurality of training suites, the client is used for determining a target training function, generating a training instruction according to the target training function and issuing the training instruction to the main control unit, and the training instruction is used for indicating a target training suite corresponding to the target training function; and the main control unit is used for controlling the power mechanism to rotate according to the training instruction so as to drive the target training suite to execute the training action. According to the rehabilitation training device, the multiple training suites can share one main control unit and one power mechanism, the equipment complexity and cost are reduced, different training suites can execute different training actions, the training requirements of multiple parts such as hand, wrist and forearm training are met, personalized and precise rehabilitation training tasks are completed, and the rehabilitation training efficiency is improved. The problem that an existing hand function rehabilitation training device cannot meet comprehensive and systematic hand function rehabilitation requirements is solved.

The utility model relates to the technical field of opto-mechatronics, in particular to a programmable controller technology application practical training examination device, which comprises a machine body, an electrical control mechanism arranged on the left side of the top of the machine body, a carrying mechanism arranged in the middle of the top of the machine body, and a well type feeding mechanism arranged in the middle of the top of the machine body. A material conveying and sorting mechanism is arranged on the right side of the top of the machine body, the carrying mechanism comprises a shell, a rotating air cylinder, a telescopic air cylinder, a lifting air cylinder, a pneumatic gripper and a first single-control electromagnetic valve, and the well type feeding mechanism comprises a bottom plate, a well type workpiece library, a single-cylinder air cylinder, a push block, a second single-control electromagnetic valve and a discharging groove. Compared with a practical training examination device in the market, the device has comprehensive functions, can carry out installation, debugging and automatic control practical training of mechatronics equipment, covers a plurality of knowledge points, adopts a modular design, can flexibly combine different modules according to teaching requirements, carries out teaching of a plurality of practical training items, and can meet a plurality of practical training requirements.

The invention discloses a lung respiratory training device for thoracic surgery recovery, and relates to the technical field of respiratory training equipment, the lung respiratory training device comprises a training cylinder, an inspiration end cover and an expiration end cover, a training block is slidably arranged in the training cylinder, end cover covers are rotatably arranged on the inspiration end cover and the expiration end cover, and a mouth sealing cover is arranged on each end cover cover; a plurality of evenly-distributed adjusting grooves are formed in the end, close to the inspiration end cover, of the training cylinder, an adjusting part used for adjusting the initial sliding resistance of the training block is arranged on the training cylinder, a driving mechanism used for providing power for the adjusting part is arranged on the inspiration end cover, and a connecting part is arranged on an end cover cover on the expiration end cover. According to the device, the adjusting part is arranged, so that the device can adjust the initial resistance of a training block sliding in a training cylinder, then the device can meet the training requirements of inspiration and expiration of a patient in different recovery processes, and the application range of the device is widened to a certain extent.

The invention relates to an electronic file security management method and system based on big data, and belongs to the field of big data. The method comprises the steps that the number of decommissioned persons is N, N is a positive integer, and an electronic file of each decommissioned person at least comprises a resume item, an assistance item and an activity item; wherein the resume item comprises a work and study item, an address and contact way item, a service unit category and name item, a service age item and a complement and honor item; the assistance items comprise disease categories, disability categories and pacifying categories; the activity items comprise an ascending item, an employment demand item, a recruitment demand item and a training demand item; the electronic file data of the N retired persons are stored in the service center; the service center marks the electronic archives of the N retired persons; and retired personnel inquire and manage the electronic archive data through the terminal. According to the method, the electronic file data is isolated, so that the data security is improved, and the service and guarantee level of retired personnel is improved by performing sub-item labeling on the electronic file.

The present application discloses a pulley ring trainer, which relates to the technical field of training equipment, including a ring bracket and two or more rings; all the rings are arranged on the ring bracket; any ring includes a pull rope, a ring shaft and an elastic body, one end of the elastic body is coiled around the ring shaft, and the other end of the elastic body is connected to the pull rope. The multiple rings of the pulley ring trainer are relatively independent, and the elastic body of any ring can provide resistance for ring training and realize automatic winding. Elastic bodies with different resistances can make the pulley ring trainer suitable for different users. Therefore, the pulley ring trainer can provide appropriate training ranges for different upper limbs of the user, and can also provide different resistances to the outside through different elastic bodies to adapt to the training needs of different patients.

The invention discloses a CTC simulation practical training emergency disposal process task issuing method and system, and relates to the technical field of railway dispatching simulation practical training, and the method comprises the following steps: S1, a teacher imports a scheduling table of a dispatching station into a CTC simulation practical training system for visual interface display; s2, based on visual interface display, the teacher formulates a reasonable emergency disposal process task for the student and sets task basic information; s3, the teacher stores, modifies, exports and deletes the emergency disposal process task; s4, issuing an emergency disposal process task corresponding to the trainee, and enabling and completing the task by the trainee; and S5, carrying out training task training condition statistics and query. According to the invention, tasks can be distributed in a personalized manner, the training time and training tasks of trainees are reasonably arranged, and the flexibility of training task configuration and the objectivity of evaluation are improved. The problems that a traditional system is single in task issuing mode, generally, only the same task content can be set for all trainees, and personalized training requirements cannot be met are solved.

The application discloses a fusion enterprise training course intelligent diagnosis recommendation system of deep learning, including: including: course data multidimensional acquisition module, student behavior characteristic extraction module, training demand intelligent diagnosis module, deep learning course matching module, recommended result dynamic optimization module, system running state monitoring module; through multidimensional acquisition of internal and external courses and student behavior data, deep pattern and preference are mined through feature extraction, knowledge short board and potential demand are determined through hierarchical analysis of the training demand intelligent diagnosis module, a multidimensional correlation model is constructed through the deep learning course matching module to realize accurate matching, the recommended result dynamic optimization module is combined to iteratively adjust the scheme according to real-time feedback, and the system running state monitoring module guarantees stable and efficient operation of each link. The system effectively improves recommendation accuracy and dynamic adaptability, improves training resource utilization, and meets the personalized and efficient demand of enterprise talent training.