201 results about "Skills training" patented technology

The invention discloses a disaster emergency rescue nursing skill training system based on virtual reality, and relates to the technical field of virtual reality. A high-simulation virtual disaster scene is constructed based on real data, diversified injury condition virtual objects matched with the scene are generated, a secondary disaster risk diffusion effect and emergency prompt information are overlaid in real time, physiological state changes such as blood pressure and respiration generated by nursing operation differences in the rescue process of wounded personnel are dynamically simulated, and the rescue effect of the wounded personnel is improved. The problems of single scene and fixed injury condition in traditional training are solved, real-time and multi-modal feedback of student operation is realized through accurate comparison and hierarchical identification of multi-dimensional operation characteristics, the defects of guidance lagging and general are overcome, a personalized and adaptive training scheme is generated according to a comprehensive evaluation result, the progress is dynamically adjusted, and the training efficiency is improved. And scene simulation, operation practice, accurate feedback and personalized improvement are integrated.

The invention provides an anesthesia virtual simulation training system fusing knowledge, skills and a thinking closed loop. The anesthesia virtual simulation training system comprises a medical knowledge base module, a clinical thinking module, a skill training module, an examination question brushing module, a knowledge graph module and an intelligent platform bottom layer framework. The intelligent platform underlying architecture comprises a data middle platform, an AI engine and a 3D engine, collects student behavior data of each module, constructs a dynamic student ability portrait through a gradient boosting tree algorithm and a collaborative filtering recommendation model, analyzes knowledge blind areas and skill shortages, plans a personalized learning path and pushes targeted training content, and provides a personalized learning result. A closed-loop process of evaluation, learning, practice and re-evaluation is formed; and deep fusion of theoretical knowledge, clinical thinking and skill operation is realized through a cross-module collaboration mechanism. The problems that traditional anesthesia teaching is high in practical operation risk, scattered in resource and insufficient in individuation are solved, and the clinical comprehensive ability and teaching quality of anesthetists are effectively improved.

The invention relates to the technical field of intelligent education, in particular to an AI-based nursing teaching scene construction and evaluation system. According to the system, a dynamic case script is generated through historical case data, and a virtual patient physiological model is constructed; creating three teaching scenes of community follow-up visit, emergency rescue and traditional Chinese medicine nursing fusion by using a mixed reality technology; a personalized learning portrait of the student is constructed through a pre-test, and accurate matching between the ability of the student and the teaching content is formed; a double-track system skill training module is built, and AI tutor guidance and teacher guidance are integrated; and an ability evaluation system based on operation data is established, and intelligent pushing of adaptive training content is realized. The problems that in traditional nursing teaching, scene authenticity is insufficient, personalized training is insufficient, and clinical thinking is difficult to cultivate are solved, and the clinical operation skill and decision judgment ability of students are improved.

The invention discloses a medical operation AR practical training system based on mixed reality and reinforcement learning and a training method thereof, and relates to the technical field of medical education and medical operation training. The system comprises an MR terminal presentation and interaction module, a case and scene management module, a multi-mode operation data acquisition and evaluation module, a reinforcement learning training strategy engine module, a practical training process control module, a training examination management module and the like, a vivid medical scene is constructed in an MR environment, and data such as operation tracks, force and step time sequences of students are acquired in real time; the evaluation result is coded into a state to be input into the reinforcement learning model, the case difficulty, the prompting mode and the training rhythm are adjusted in a self-adaptive mode, individualized, procedural and quantifiable skill training and assessment are achieved, and the method is suitable for various operations such as cardio-pulmonary resuscitation, endoscopic surgery and puncture catheterization.

The invention discloses an electric power skill training and scoring evaluation method based on a large model algorithm, and belongs to the technical field of electric power skill training and scoring evaluation, and the method comprises the steps: collecting and processing student information data and historical operation behavior data, and integrating the processed data into a unified data warehouse for storage; analyzing the information data and the power skill post demand of each student by using a natural language processing technology to generate a demand analysis result; generating a training content scheme according to the demand analysis result based on a pre-selected large model; by analyzing learning behavior data, constructing a student learning style model, and further optimizing a training content scheme to obtain an optimal training scheme; a three-dimensional electric power working scene model is constructed by using computer graphics and VR / AR technologies; through establishing an operation evaluation model, real-time scoring evaluation is carried out on electric power skill operation of students, and an evaluation result of each student is obtained.

The invention discloses an intelligent management system and method for vocational skill training, and relates to the technical field of vocational skill training management systems. The system comprises a student information management subsystem which integrates biological feature recognition, a dynamic password and SSO single sign-on to realize cross-platform secure access; a personal ability graph is constructed based on behavior logs and psychological assessment data, and attribute tags of unmarked nodes are automatically expanded by using a graph neural network. According to the system, attribute tags of unmarked nodes are automatically expanded through a graph neural network, a dynamic personal ability graph is constructed in combination with behavior logs and psychological assessment data, and accurate user portraits and personalized recommendation are supported; modeling time series data by using an LSTM neural network, and quantifying an attention concentration score; and student grades are divided based on a K-means clustering algorithm, and differentiated resource packages are pushed, so that individualized teaching is realized.

The invention discloses a clinical operation data analysis method based on virtual reality, and belongs to the field of virtual reality technology and medical skill training. Comprising the following steps: constructing a high-dimensional interaction data tensor covering space-time sequence features; establishing a three-dimensional space topological relation graph based on medical scene understanding, mapping various clinical operation skills into a three-dimensional model interaction sequence of a virtual medical device and an anatomical structure, and generating a multi-dimensional operation behavior feature vector matrix; virtual instrument operation sequence fragments with abnormal interaction efficiency or operation track deviation are identified, and dynamic loading priority weights of virtual medical scene resources are determined according to the virtual instrument operation sequence fragments; when the rendering frame rate of the virtual scene is lower than a specified threshold value, generating early warning information; and in a double-layer adaptive medical scene rendering optimization process, identifying performance bottleneck nodes and geometric processing conflicts in a three-dimensional rendering pipeline, and carrying out dynamic shader scheduling and model detail automatic switching according to a priority rule.

The invention discloses an intelligent switching control electrician practical training identification device, which belongs to the technical field of electrical detection and comprises a practical training platform, an operation panel, an electrical carrier plate and a built-in PLC (Programmable Logic Controller), the system integrates power input, a first conversion unit composed of a first isolation transformer and a first contactor, a second conversion unit composed of a second isolation transformer and a second contactor, a control unit, a data storage module, an operation input unit, a feedback unit and a load output unit. A dual-safety interlocking structure combining software interlocking and contactor hardware interlocking is realized through a PLC, and two paths of power outputs cannot be switched on at the same time. The device has the functions of intelligent mode switching, real-time voltage monitoring, fusing and sudden stop dual protection, operation state feedback and practical training data storage, meets industrial-grade and safety-grade practical training requirements, is compact in structure and high in safety, supports closed-loop control and data tracing, and is suitable for modern electrician skill training and intelligent examination and identification.

The invention discloses a basic nursing skill training system based on a large language model and deep learning, and belongs to the technical field of nursing skill training. The user terminal equipment is provided with a training system application program and is used for user login, training module selection and operation content display; the image acquisition equipment is used for acquiring video data of a simulation operation area in a user operation process in real time; the voice interaction device is used for collecting voice input of a user and playing voice feedback of a virtual patient; the processing control unit is used for running a large language model and a deep learning algorithm and realizing intelligent processing of visual identification and voice interaction of an operation process; and the evaluation feedback module is used for performing multi-dimensional evaluation on the operation normalization and communication performance of the user and generating a real-time feedback report. According to the invention, a complete intelligent teaching closed loop is realized. And full-process, multi-dimensional and granulated automatic evaluation can be carried out on three core capabilities, namely operation normalization, clinical thinking and communication effectiveness.

This invention relates to the field of intelligent education technology and discloses a tiered training method for editing skills based on deep learning. The method includes: constructing a training course library containing course units; using the course unit as the smallest learning unit, and based on the pre-dependencies of the course units, collecting real-time interactive operation data of learners to construct multi-dimensional feature vectors for learners; inputting the multi-dimensional feature vectors into a trained deep neural network model to output the learner's current assessed comprehensive course ability index; using a clustering method to divide all learners into three levels: basic, intermediate, and advanced; associating each level with a subset of course units, obtaining the matching degree between each learner's current assessed comprehensive course ability index and the difficulty coefficient, and generating a personalized course learning path recommendation for each learner. This invention achieves tiered training for learners' editing skills.

The present application relates to medical teaching aid technical field, especially intelligent feedback type thyroid ablation operation simulation training device. The model includes a simulation person, a cervical vertebra module, a thyroid module and a simulation nodule. The simulation nodule is made of a thermal response material, has a heating element inside, an ablation needle integrated with a temperature sensor, and a control unit triggers heating according to the sensor signal, so that the physical state of the nodule changes and the real ablation effect is simulated. The present application has a simple structure, can provide intuitive visual and tactile feedback, and is used for medical staff surgical skill training and objective examination.

The utility model discloses a coat surface inspection training device, relates to technical worker skill training technical field, the coat surface inspection training device comprises a frame, an operating platform and a control box, the operating platform comprises a mounting rack and a detection plate, the mounting rack is connected with the frame, the detection plate is connected with the mounting rack, the detection plate is provided with a functional area, and the functional area is connected with the control box. The functional area comprises a lamplight area and a paint surface detection area which are sequentially arranged in the first direction, a plurality of timing lamps are arranged on the lamplight area, and the control box can sequentially turn off the timing lamps in the second direction to form a paint surface detection path. According to the technical scheme of the utility model, the existing automobile door panel is adopted as the detection plate, so that the panel paint surface detection environment is actually restored, an efficient skill training means is provided for new employees, the sense of reality of training is greatly enhanced, the adaptation period of the new employees after the new employees are on duty is reduced, the training is more effective, and the working efficiency is improved. Students can more quickly adapt to the requirements of actual working posts.

The invention belongs to the technical field of airflow control, and discloses a skill training evaluation and data management system based on airflow control capability, and the system comprises a data acquisition module which constructs an airflow control sequence set and extracts an intensity peak point, a stability fluctuation point and a rhythm turning point as an initial airflow feature point set; performing time sequence hierarchical division, and generating a cross-layer association chain through a layer-by-layer accumulation mode to obtain a time sequence association vector; carrying out capability migration mapping on a plurality of training ground times, introducing a migration offset coefficient for adjustment, generating a capability evolution path, and marking key turning nodes in the path; dimension integration operation is executed, and an integration granularity threshold value is dynamically set according to the number of training ground times; building a data management file exclusive to the learner based on the integration index set, filing the capability evolution path and the integration index set according to a time sequence, setting a file access key, and starting a cross-session query interface; and the convenience of data management is greatly improved.

The utility model discloses a basic skill training frame for a fire-fighting rope, and belongs to the field of basic skill training frames, the basic skill training frame comprises a training frame, an adjusting device is assembled in the training frame, the adjusting device comprises a first rotating rod, and the first rotating rod is rotatably connected to the right side of the inner wall of the training frame through a bearing; a first bevel gear is fixedly connected to the left side of the first rotating rod, a fixing plate is fixedly connected to the front face of the inner wall of the training frame, a lead screw is rotatably connected to the top of the fixing plate through a bearing, a second bevel gear is fixedly connected to the top of the lead screw, and a supporting rod is in threaded connection to the outer wall of the lead screw; the first bevel gear is meshed with the second bevel gear, the left side of the first bevel gear is fixedly connected with a connecting rod, and the connecting rod is fixedly connected to the right side of the other adjusting device. The whole training frame ascends through a first rotating rod, a rocker, a first bevel gear, a fixing plate, a second bevel gear, a connecting rod, a lead screw and a supporting rod.

The present application relates to the technical field of scene simulation management, and more particularly to a group multiple injury first-aid skill training platform, comprising: a plurality of collectors for collecting the actions of training targets; a plurality of event simulation terminals for generating corresponding simulation scene events; a plurality of feedback collectors arranged together with the event simulation terminals for collecting the collector states of the collectors and monitoring the target states of the training targets in the corresponding areas in response to the generation of the simulation scene events; and a processing center for forming a corresponding database according to the scene events and sending the corresponding states to the corresponding collectors for prompting in response to the confirmation of the target states; the present application determines the corresponding collector states according to the collectors, avoids the data output delay caused by processing all data by the processing center, and thus effectively improves the timeliness of the training platform in judging the training targets.

The invention belongs to the technical field of automobile manufacturing training, and particularly relates to an automobile assembly all-work-type training detection training platform and training method. The training platform comprises a frame type bearing structure, a multi-process detection module group, a visual identification unit, a display feedback module and a power supply and main control unit. The frame-type bearing structure comprises a frame, an operation training table is installed on the top of the frame, and assembly rails are arranged on top cross beams and side beams of the frame. The multi-process detection module group comprises a rubber plug detection module, a plug detection module, a buckle detection module and a bolt and nut detection module; the visual identification unit carries out full-coverage shooting on the operation training platform; the display feedback module is used for synchronously displaying the detection result of each module in the multi-process detection module group in real time; a microprocessor and a data storage module are arranged in the power supply and main control unit. The system adopts an integrated design and a visual feedback mechanism, has a real-time monitoring function, and can greatly improve the training efficiency.

This application relates to a method and system for training neurosurgical specialist nurses based on a virtual teaching and research room. The method includes: acquiring patient data and clinical scenario parameters corresponding to preset neurosurgical training tasks from a medical database; constructing a virtual training environment using virtual simulation technology based on the patient data and clinical scenario parameters; collecting user interaction behavior data in real time through a sensor network deployed in the environment; analyzing the behavior data in real time and driving the virtual environment to generate real-time feedback effects; identifying key operation points using a pre-trained LSTM analysis model based on the behavior data and feedback effects; and generating a training feedback report based on the key operation points. This method can improve the realism of neurosurgical specialist nurses' operations in the virtual environment, the assessability of the training process, and the real-time nature of feedback, effectively assisting in professional skills training and assessment.

The invention relates to the technical field of medical teaching appliances, in particular to an intelligent feedback thyroid ablation operation simulation training device. The model comprises a simulation person, a cervical vertebra module, a thyroid gland module and a simulation nodule block. The simulation nodule is made of a thermal response material, a heating element and an ablation needle integrated temperature sensor are arranged in the simulation nodule, and the control unit triggers heating according to a sensor signal, so that the physical state of the nodule generates observable change, and a real ablation effect is simulated. The device is simple in structure, can provide visual visual and tactile feedback, and is used for surgical skill training and objective examination of medical staff.

The invention relates to the technical field of virtual reality, in particular to a traditional Chinese medicine pediatric acupuncture training system combined with virtual reality guidance, which comprises a virtual behavior generation module, a feedback module, an evaluation module and a guidance module. By simulating the physiological behavior of a pediatric child patient, providing sensory feedback, quantitatively evaluating the operation technique in real time and guiding the dialectical diagnosis and treatment process, high-simulation pediatric acupuncture skill training is achieved, and the clinical pertinence of training is effectively improved.

The invention provides an entrepreneurial service platform and device based on big data, and relates to the entrepreneurial service technology, the entrepreneurial service platform based on big data comprises a central processing module, an AI voice module, a user management module, a data storage module, a skill training module and a fund management module, and the AI voice module is used for voice intelligent interaction between the equipment and the user. And the entrepreneurial service device is used for operating and displaying the entrepreneurial service platform based on the big data. According to the scheme, the fund quantity is dynamically adjusted according to the number of the currently managed users, so that fund distribution can be updated and adjusted in real time according to the change of the number of the users, the management process of fund distribution is reduced, and fund distribution of the users is more timely; the fund disclosure unit facilitates the disclosure of the distribution and application of the fund, so that the user can check the flow direction of the fund online.

The application discloses a kind of humanoid robot motor skills training methods based on body-object-environment relationship modeling.First, the reference motion data of target motor skills and interactive object, environment state data are obtained;During the training process, the body-object, body-environment, object-environment relationship characteristics and contact state are calculated based on the robot ontology, object and environment state, and the relationship enhanced state representation is constructed;Input it into the adversarial discriminant network to generate the adversarial reward representing the naturalness of action and the consistency of interaction;Finally, the adversarial reward, task, stability and safety reward are fused, and the control strategy is trained based on reinforcement learning.Compared with existing methods, the application explicitly learns the interaction relationship, reduces the complexity of reward engineering, improves the naturalness of movement, the rationality of interaction and the environmental adaptability, and is suitable for whole-body interaction tasks such as carrying, supporting and obstacle crossing.

The invention provides a shadow play aided teaching method and a shadow play aided teaching system based on non-physical gestures, and relates to computer vision, in particular to digital and interactive skill training for performance art such as shadow play in the intangible cultural heritage field. Acquiring a video image of at least one hand of a practicer in a preset three-dimensional space; the video image is analyzed in real time to determine a set of control parameters used for controlling the virtual shadow puppet, the control parameters comprise posture information corresponding to the hand posture and depth position information corresponding to the distance position of the hand in the three-dimensional space, and the depth position information corresponds to the distance position of the hand in the three-dimensional space. The attitude information comprises a single-hand independent parameter for independent control and a double-hand associated parameter for cooperative control; based on the posture information, the skeleton posture of the virtual shadow puppet is mapped, and the mapping logic is matched between a preset independent control mode and an interaction control mode according to the two-hand correlation parameters; and rendering and generating an image of the virtual shadow puppet based on the mapped skeleton posture and the depth position information, and displaying the image in real time.

The invention relates to the field of medical simulation training. The invention discloses a minimally invasive surgical skill training system and an evaluation method thereof, and the system comprises a recognition and collection module which is used for collecting doctor information and recognizing and extracting surgical features, a storage module which is used for storing the doctor surgical information and the surgical features, and a data processing and analysis module which is used for analyzing, processing and fitting the surgical features. The three-dimensional module is used for converting the analyzed, processed and fitted surgical features into a three-dimensional model; and the display simulation module is used for displaying the three-dimensional model. Multi-doctor operation characteristics are collected, data are separated according to time and success rate, a dynamic operation model is generated through fitting of a genetic algorithm and the like, and individuation and standardization are combined. The sensing module is used for collecting data, constructing a three-dimensional model and providing force feedback. Through dual-mode and dual-threshold grading evaluation intervention, success rate constraint is introduced to guarantee the quality of key steps, and the efficiency is optimized for time-limited surgery.

The utility model relates to an ophthalmology multi-position skill training simulation teaching aid, which belongs to the field of simulation teaching aids and comprises a support, a head model, a neck model, a replaceable eyeball model and a fixed eyeball model. Threaded holes A are respectively formed in two sides of the neck model; the bracket comprises a base, a height adjusting rod, a connecting block and a head model clamping component; the head model clamping and fixing assembly comprises two clamping and fixing plates and two screw rods; the height adjusting rod is connected between the base and the connecting block; the two clamping plates are L-shaped, vertical rods of the clamping plates face upwards, and transverse rods of the clamping plates are connected with the connecting blocks; the two screw rods are oppositely and respectively in threaded connection with the vertical rods of the clamping and fixing plate; the human head model is provided with two simulated eye sockets, one simulated eye socket is a silica gel eye socket, and the replaceable eyeball is detachably connected with the silica gel eye socket; according to the utility model, most ophthalmological skill training and training can be satisfied by using a simple structure, and the cost and the occupied space of the eye training model are reduced.

The invention relates to the technical field of post recommendation, and particularly discloses a vocational ability dynamic portrait and post recommendation method and system. The method comprises the steps of firstly collecting static data (work resumes, assessment scores and the like) and dynamic behavior data (project tasks, skill training and the like) of a user, laying a comprehensive data source foundation, then disassembling the work resumes, extracting and clustering multiple types of entities, screening and determining a core capability field label in combination with time, secondly quantifying core capability scores and a performance stability coefficient, and finally obtaining a core capability model. Then analyzing dynamic behavior data, extracting evolution characteristics, constructing dynamic capability evolution vectors, fusing the dynamic capability evolution vectors with the static vectors to form vocational capability dynamic portraits, analyzing post demand data, extracting capability requirements and environment characteristics, quantifying the post demand data and the capability requirements and environment characteristics, and carrying out model processing to generate post portrait vectors; and finally, comprehensive suitability is calculated through the cosine similarity and the growth trend matching degree, candidate posts are sorted and recommended, and the integrating degree of the posts and talents is effectively improved.

The invention discloses a transformer area JP cabinet training device, which belongs to the technical field of power system operation and maintenance training, and comprises a cabinet body, and a main circuit module and a compensation metering and control module which are integrated in the cabinet body, and the main circuit module and the compensation metering and control module are fixed in the cabinet body through a fixing frame and a fixing plate. The fixing plate is fixed at the bottom of the cabinet body through bolts. The core of the device is that full-function simulation layout is adopted, quick replacement of core devices is achieved through modular quick replacement design so as to adapt to JP cabinets of different models, and the problems that in traditional training, authenticity is insufficient, safety is poor, the device cannot adapt to equipment of multiple models, and fault setting is single are solved; efficient and safe whole-process operation and maintenance skill training close to actual combat is realized.

The invention discloses an equipment maintenance action digital processing method and device, equipment and a storage medium, and relates to the technical field of industrial production and equipment management, and the method comprises the steps: obtaining the maintenance video data of target equipment in a maintenance scene; dividing the maintenance video data into a plurality of independent action segments, and synchronously identifying an action category and operation tool information corresponding to each action segment; on the basis of the action category and the operation tool information of each action section, generating a special semantic descriptor for maintenance of the target equipment in the maintenance scene; and generating a standardized maintenance log based on the maintenance special semantic descriptor of the target equipment. Through the above mode, maintenance operation and operation tools are directly and accurately extracted from the video data, the accuracy and adaptability of extraction are ensured, and the generated standardized maintenance log can be used as a digital carrier of experience and skill of workers for a maintenance scene, thereby providing reliable data support for intelligent maintenance decision and skill training.

The invention discloses a self-adaptive first-aid training human body strength model which comprises a thoracic cavity body, a sensor module and a main control system, and relates to the technical field of emergency rescue skill training equipment. Through rigidity adjustment of the nickel-titanium memory alloy frame, pressing force requirements of students of different age groups are accurately met, the students can form correct pressing manipulation memory in training, the springs do not need to be manually replaced, the master control system automatically adjusts chest hardness according to student information, teaching efficiency is effectively improved, and the training efficiency is improved. And the hardness of the thoracic cavity body is adjusted by responding to the pressing force and posture changes in real time, so that the thoracic cavity hardness presents nonlinear mechanical characteristics similar to a real human body, the training simulation authenticity is effectively enhanced, and the method is closer to an actual first-aid scene.

The invention discloses a Unity-based cable accessory installation training system and a construction method thereof. The system comprises a basic knowledge learning module, a professional knowledge learning module, a training examination module, an examination evaluation module and the like. The basic knowledge learning module provides content such as identification graphs related to cable accessory installation, electrical instruments, tool use and safety specifications and the like, and teaching is assisted in a visual mode of images, texts, voice and structures. The professional knowledge learning module is used for displaying key installation processes and process standards in the forms of three-dimensional animation, video explanation, structure explosion diagram and the like; the training examination module is provided with basic examination and practical operation examination, and supports question bank import, interactive answering and action monitoring; and the assessment and evaluation module performs statistical analysis on assessment data and generates visual assessment reports such as a radar map and the like. According to the invention, the learning efficiency of trainees can be improved, the training cost is reduced, the training safety and flexibility are enhanced, and standardization, intelligence and high efficiency of cable accessory installation skill training and assessment are realized.