306 results about "Skill level" patented technology

The invention belongs to the technical field of artificial intelligence, and particularly relates to a multi-modal mixed interview question generation system and method based on artificial intelligence. According to the method, customized interview questions are provided for candidates with different backgrounds and different skill levels by dynamically selecting questions based on candidate resumes and knowledge maps, the question difficulty and knowledge emphasis are automatically adjusted through multiple rounds of answering effects and interviewer labeling data, the effectiveness and flexibility of interview evaluation are improved, and the interview evaluation efficiency is improved. Answering results and behavior anomaly detection are fused, knowledge mastering is evaluated, potential non-behavior factors can be found, manual question screening time is shortened through an automatic process, consistency of interview experiences of different candidates is guaranteed, subjective prejudice is reduced, new knowledge documents and post description can be accessed at any time, a multi-modal graph is continuously iterated, and the method is high in practicability and high in practicability. And changes of new technical fields and new post requirements are adapted.

The invention discloses a game level generation recommendation method, system, device and medium, and the method specifically comprises the steps: carrying out the combined modeling of multi-modal data through a multi-task learning network, and generating a dynamic user portrait vector, the main task of the multi-task learning network is used for predicting the skill level of a player, and the auxiliary task of the multi-task learning network is used for predicting the skill level of the player; auxiliary tasks of the multi-task learning network are used for classifying interest labels and analyzing emotional tendencies; inputting the dynamic user portrait vector into a dual-channel generative adversarial network, generating a candidate level set, and screening initial recommended levels through a playability evaluation algorithm; and calculating the matching degree between the skill score of the user and the level challenge degree in real time according to a difficulty-skill dynamic balance model, and dynamically adjusting the level parameters of the initial recommendation level through the matching degree to obtain a first recommendation level. According to the method, key problems in traditional game level design and recommendation are effectively solved, and efficient, personalized and real-time game level generation and recommendation with optimized user experience are realized.

The invention provides a remote training method and system based on virtual reality. The method comprises the following steps: performing personalized customization processing on a training environment by utilizing a professional background, a skill level and a learning target of a student to obtain a simulation operation scene; according to the simulation operation scene, carrying out natural language processing algorithm analysis processing on the obtained language instruction, generating an operation prompt, superposing the operation prompt into a visual interface of a student through an augmented reality technology, and carrying out real-time monitoring and automatic correction on an operation process of the student to obtain a personalized guidance scheme; and based on the personalized guidance scheme, performing decision tree algorithm classification analysis processing on the behavior data of the trainees, and comprehensively evaluating the performance of the trainees from multiple dimensions in combination with an educational psychology theory to obtain a multi-dimensional performance evaluation report. According to the technical scheme provided by the invention, the pertinence and effectiveness of training are remarkably improved.

The invention discloses a multi-dimensional candidate matching evaluation method and system, and relates to the technical field of human resource management. The method comprises the following steps: constructing an evaluation index system containing multiple dimensions according to a target post demand; collecting multi-dimensional data of candidates, wherein the multi-dimensional data comprises personal backgrounds, skill levels, character traits and occupational experiences; based on the evaluation index system, performing standardization processing on the multi-dimensional data of candidates; calculating the score of each dimension in the evaluation index system according to the standardized multi-dimensional data; calculating a matching weight of each dimension through a preset weight distribution model; and according to the score and the matching weight of each dimension in the obtained evaluation index system, calculating the comprehensive matching degree of the candidate and the target post, and outputting a matching degree analysis report. Through multi-dimensional comprehensive evaluation, a weight distribution model and a personalized matching degree analysis report, more objective and scientific candidate matching evaluation is provided, and the accuracy of recruitment decision is improved.

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.

According to another embodiment, a method may include: receiving, at a centralized controller, a play data for players using a plurality of basketball hoop devices, the play data comprising shot data comprising ball flight trajectory data, shot angle data, shot distance data, and shot success data; calculating, by the centralized controller, a skill level for each of the plurality of players using the play data; applying, by the centralized controller, a skill leveling algorithm to the shot data to determine parameters for each basketball hoop device based on the skill level of each of the players, wherein the parameters comprise a hoop height, a hoop angle, and a hoop distance; and communicating, by the centralized controller, the parameters to local controllers at the respective basketball hoop device, wherein the local controllers control actuators at the respective basketball hoop devices to implement the parameters.

The invention relates to the technical field of social humanistic science research, in particular to an engineer engineering skill proficiency evaluation method, which comprises the following steps: identifying the core skill category of an engineer, collecting the skill level input of the engineer to establish a personnel skill inventory, generating original skill data input, and inputting based on the original skill data. According to the method, through identification of core skill categories of engineers and collection of skill level input, and in combination with structural analysis of task on-time completion rate, a direct mapping relation is generated between the engineer ability and actual performance data, and the deviation that ability evaluation depends on subjective impressions singly is avoided. On the basis of clear division of project stages and process nodes, the change trend of skill requirements is quantized into skill numerical value weights in different stages, and skill evaluation has time sequence dynamics by extracting associated information between the stages and the skill.

The invention provides a curling match video description method based on a large language model. According to the method, the videos are intelligently analyzed, and detailed text description is generated, so that curling players can more deeply know each detail of a match with less time, detailed tactical analysis and action guidance are provided, and the skill level of the players can be improved more quickly. According to the method, the advantages of a video analysis technology and a large language model are combined, comprehensive, detailed and deep natural language description of curling match videos is achieved, the accuracy and comprehensiveness of curling match video description are improved, and richer match information and analysis means are provided for audiences and coaches.

The invention discloses a building safety education training system based on interactive experience, relates to the technical field of construction site safety education, and aims to solve the problems that traditional building worker safety education lacks pertinence and is difficult to meet specific safety requirements of various types of work, and the teaching mode is relatively single. The system comprises a database, a personalized learning recommendation module, an interactive learning module and a learning progress and achievement tracking module. The database is used for pre-storing safety knowledge of various construction work types; the personalized learning recommendation module is used for screening and recommending learning content suitable for the worker from a pre-stored database covering safety knowledge of various construction work types according to the work type information and learning history of the construction worker, and the learning content comprises a document and a video course. The method has the advantages that precise education content conforming to the work type and the knowledge level of each worker is provided for the worker, and the safety awareness and the skill level of the building worker are improved.

The invention relates to a skill grade evaluation method and system for talent management. The skill grade evaluation method comprises the steps of obtaining target occupational information, corresponding occupational element information and assessment index information; constructing a multi-channel evaluation model based on the occupational element information and the assessment index information; obtaining target skill data and performing preliminary evaluation to generate a standardized evaluation result; obtaining target historical behavior data and extracting skill mode features and implicit capability features; inputting the skill mode features and the implicit capability features into a multi-channel evaluation model to generate a personalized evaluation result; in conclusion, according to the skill grade evaluation method and system for talent management provided by the invention, standardized evaluation is carried out on skill data by constructing a multi-channel evaluation model, and dynamic correction is carried out in combination with implicit features extracted from historical behavior data; the method has the advantages of dynamically capturing skill demand changes, identifying skill synergistic effects, mining recessive ability characteristics and providing timeliness occupational planning.

The invention relates to the field of project intelligent management, and provides an electrical construction task intelligent management system and method, and the method comprises the steps: firstly obtaining the number of a target building, searching a corresponding building information model according to the number, then carrying out the deep building analysis of the target building based on the information model, so as to determine the construction task level, and at the same time, carrying out the construction task management of the target building. The working states and working information of constructors are collected and sorted to form a total set of constructors, the working information of the constructors in the to-be-distributed state in the total set is further analyzed to evaluate the skill levels of the constructors, and finally, the working states and working information of the constructors are analyzed. And according to the determined construction task level and the skill level of the to-be-allocated constructor, scientifically and reasonably allocating the construction task. In this way, reasonable configuration between construction tasks and constructors can be ensured, and then the overall construction efficiency and quality can be improved.

The invention relates to the technical field of internet data processing and resource scheduling, and discloses an intelligent order sending method and system for housekeeping service and a storage medium, and the method comprises the steps that a server side receives original order information containing house investigation data; calling a spatial granularity decomposition model to analyze the order into independent operation area sub-tasks, and calculating the lowest skill level demand in combination with the feature vector; attribute vectors such as comprehensive skill levels and real-time coordinates of service personnel are obtained; constructing a dynamic bipartite graph matching model by taking the subtask set and the attributes of the service personnel as input; an optimal mapping relation list is determined by solving the maximum value of an objective function, and a dispatching instruction is sent. The method further comprises an attendance checking judgment step based on a geofence and a closed-loop iteration step of dynamically updating skill levels according to attendance checking and evaluation data. According to the method, refined disassembly and global optimal scheduling of housekeeping tasks can be realized, and the resource allocation efficiency and the service quality are remarkably improved through a dynamic closed-loop mechanism.

The invention provides a real-time adjustment method and system for a virtual motion scene in meta-universe intelligent motion, and relates to the technical field of meta-universe, and the method comprises the steps: obtaining the motion parameter information of a user, calculating a scene matching score, dividing a difficulty level region, and detecting the motion state and physiological data of the user in real time; and calculating a skill grade score and dynamically adjusting scene difficulty distribution and rendering parameters. According to the method, the accurate matching of the virtual scene and the exercise ability of the user is realized, the immersion and individuation degree of interaction experience are improved, meanwhile, the system resource allocation is optimized, and the smooth operation of the meta-universe exercise environment is guaranteed.

An interactive basketball board game system having a substantially planar surface serving as a game court with removable perimeter borders that define a playing area. The system includes basketball hoops and backboards secured to end borders, and miniature basketballs. The court surface features magnetic-receptive material enabling interchangeable court illustrations. The system incorporates authentic basketball simulation mechanics requiring balls to bounce once before shooting attempts, foul calling systems, and alternating possession rules. The compact, portable design allows for easy assembly, disassembly, and storage while providing comprehensive basketball gameplay experiences suitable for various skill levels and player counts.

The invention relates to the technical field of sports medicine data analysis, and discloses a sports medicine data intelligent analysis method and device.The sports medicine data intelligent analysis method comprises the following steps that firstly, a unified time axis is set, and then physiological index data, sports performance data, sports injury data and rehabilitation process data of a single athlete are collected according to the time sequence; classifying to form a data set; 2, analyzing the skill level of a single athlete in an uninjured state, and generating a corresponding level coefficient; 3, the health level of a single athlete in the injury state is analyzed, a corresponding injury coefficient is generated, and multi-dimensional analysis is more comprehensive; 4, a horizontal threshold value and an injury threshold value of a fixed range and a monitoring period of a fixed duration are set, the health state and the injury risk of a single athlete are evaluated in combination with the horizontal coefficient and the injury coefficient, a corresponding early warning signal and a corresponding exercise suggestion are generated, any node in a time axis has the corresponding horizontal coefficient or injury coefficient, and the health state and the injury risk of the single athlete are evaluated. And the intelligent evaluation precision is high.

The invention discloses a skill grade evaluation system for talent management. The skill grade evaluation system comprises a demand analysis module, a data collection and preprocessing module, a skill mapping module, a skill level analysis module, a development path planning module and a system optimization module. The invention belongs to the technical field of human resource management, and particularly relates to a skill grade evaluation system for talent management, which is characterized in that skill data are converted into feature vectors through a data preparation unit, a Gaussian mixture model is defined, and model parameters are iteratively optimized through a parameter estimation unit; calculating the posterior probability that a new data point belongs to each skill category through the trained model, and achieving the classification of skill levels; the skill level is analyzed based on a decision tree and an entropy theory, accumulated residual entropy is calculated to evaluate the uncertainty of overall skill distribution, the influence degree of residual uncertainty analysis features on skill evaluation is calculated, and optimal features are selected according to information gains to achieve skill level evaluation.

The invention provides a post recommendation and learning path generation method based on skill level entity extraction, and relates to the technical field of person and post matching, and the method comprises the steps: obtaining job seeker data and post data; extracting skills and skill levels of job seekers and posts from the data by using a large language model (LLM), and confirming the extracted skill data through an ESCO classification method; on the basis of the extracted skill data, according to the defined similarity constraint and calculation formula of the job seekers and the posts, similarity calculation is carried out on the job seekers and the posts, and post recommendation is carried out on the basis of the similarity; and analyzing the extracted skill data of the job seekers and the posts to form a visual learning path diagram. By the adoption of the scheme, accurate matching and recommendation of the job seeker and the post are achieved.

A method includes monitoring in a gaming session game play of a first player playing a game on a device of a first platform, and monitoring game play of a second player playing the game on a device of a second platform. A first valuation of a performance metric measuring gaming effectiveness is determined for the game play by the first player. A second valuation of the performance metric is determined for the game play by the second player. A difference between the first valuation and the second valuation does not satisfy a threshold band of operation that is based on global skill levels of the first and second players. The game play of the first player is augmented to modify the first valuation so that the threshold band of operation is satisfied in order to normalize effectiveness of playing the video game between the first and second players.

The present invention provides a user management device that allows for more appropriate information provision to users compared to managing users according to their roles. [Solution] The management device is characterized by comprising a management means for managing users by a first management method for managing the level of users who use the molding device according to their roles, and a second management method for managing the level of users according to their skill level in the work.

One embodiment provides a method, the method including: identifying, using a task guidance system, a task to be performed by a user; determining, using the task guidance system, a skill level of the user with respect to the task, wherein the determining includes accessing a profile of the user identifying a plurality of tasks and a skill level of the user for each of the plurality of tasks; and providing, to the user and using the task guidance system, an instruction set for performing the task, wherein a level of detail within the instruction set provided is based upon the skill level of the user. Other aspects are claimed and described.

The invention discloses a flight simulation training auxiliary system and method based on intelligent co-pilot, and the system comprises a data collection module which is used for collecting flight data and carrying out the operation monitoring of a college; the voice interaction interface is used for multi-mode state analysis voice interaction; the student model module is used for skill level evaluation and learning style identification; the emotion perception module is used for flight experience identification and risk prediction analysis; the personalized training module is used for training process monitoring, training result analysis and personalized training adjustment; and the decision engine module is used for deeply reinforcing a learning model and assisting a strategy generator. And intelligent and personalized auxiliary support is provided for pilot training. Through real-time data analysis and an adaptive learning algorithm, functions and behaviors of a real copilot are simulated, and targeted guidance is provided for flight trainees. And a complete training ecosystem is formed. And the flexibility and expandability of the system are ensured, and each functional component can be independently optimized and upgraded.

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 relates to the technical field of VR training systems, in particular to a power plant production area VR training system which comprises a digital twin modeling unit, a VR interactive operation unit, a real-time data synchronization unit, a safety training simulation unit, a cloud computing supporting unit, a training evaluation unit and a remote cooperation unit. The digital twin modeling unit is used for constructing a 1: 1 high-precision three-dimensional model of the power plant production area, completing modeling of the whole plant area by deploying a scanning vehicle, integrating equipment physical parameters of the power plant production area by utilizing field sampling equipment, including data of temperature, pressure and current, and mapping and updating the model state in real time by utilizing data of the internet of things; and finally verifying the model. The immersion and operation experience of students are enhanced, the training effect is improved, the operation ability and skill level of the students can be accurately evaluated, the students are helped to discover deficiencies and carry out targeted improvement, the students are helped to avoid dangers in actual operation, and the safety is improved.

The invention relates to the technical field of intelligent task allocation, in particular to an operating room nursing task intelligent allocation method and system, and the method comprises the steps: obtaining nursing task instruction levels and time segments, matching scheduling overlapping tasks and personnel to generate parallel segments, matching skills and levels, screening enough personnel, matching equipment, generating a combination list, and reserving a non-over-capacity combination. And obtaining a task binding result evaluation load, and distributing the nursing tasks according to the priority. According to the invention, through accurate matching of task time, personnel scheduling and equipment resources, automatic and intelligent task allocation is realized. By analyzing the overlapping condition of the task use time period and the nursing personnel scheduling time period, the task and personnel combination which can be executed in parallel is accurately extracted, and scheduling conflicts and time waste are avoided. The task allocation is further matched with the task execution duration based on the skill level and the remaining shift duration of the nursing personnel, and it is ensured that each person undertakes a proper task.

The invention provides a game data processing method and device, electronic equipment, a computer readable storage medium and a computer program product. The method comprises the following steps: acquiring game operation data of a target object in a current game level in real time, and determining a skill level and a behavior mode of the target object based on the game operation data; determining a first adjustment strategy for the game level content based on the skill level and the behavior pattern; acquiring game feedback data of the target object, and determining a second adjustment strategy for the game level content based on the game feedback data; and adjusting the next game level content based on the first adjustment strategy and the second adjustment strategy to obtain the updated next game level content. According to the invention, the flexibility of game level content adjustment and the retention rate of the target object can be improved.

The present invention provides a method and system for quantitatively testing ball skills. The system includes: a timer, a movable testing device, and a control device. The control device is configured to: obtain information to be tested, where the information to be tested includes: attribute information of the person to be tested and information of the item to be tested; obtain a timing trigger request and a timing stop request triggered by the person to be tested; respectively obtain test operation information of the person to be tested within each test area corresponding to the item to be tested; and obtain the completion duration of the item to be tested according to the timing stop request; obtain a skill level test result of the person to be tested according to the test operation information and the completion duration. The present invention improves the objectivity, fairness, and impartiality of the evaluation of ball skills, and solves the problem that the evaluation process of ball skills is subject to the subjective influence of evaluators.

The utility model provides an anti-fatigue testing device for a diamond compact, which relates to the technical field of diamond testing and comprises a bottom plate and a motor, the top end of the bottom plate is fixedly connected with a supporting assembly, the supporting assembly comprises a supporting column, the bottom end of the supporting column is fixedly connected onto the bottom plate, and the top end of the bottom plate is fixedly connected with a limiting frame. A supporting plate is fixedly connected to the side, away from the limiting frame, of the top end of the bottom plate, a circulation testing assembly is fixedly connected to the top end of the supporting assembly, and a pushing assembly is fixedly connected to the outer side of the bottom plate, so that the motor drives the driving chain wheel to rotate, automatic circulation testing of the testing balls is achieved, and it is ensured that the testing balls stably slide on a specified route; inconsistency of test results caused by factors such as skill level and experience of operators is avoided, and the problem of inaccurate impact times caused by continuous bounce of the test ball is avoided by ensuring that the test ball is in stable contact with the surface of the diamond compact.

This invention discloses a big data-based method for maximizing efficiency management in a hardware processing workshop, relating to the field of big data management technology. The method includes: acquiring historical video data of hardware workpiece processing tasks; quantifying the skill levels of processing personnel in the hardware processing workshop; clustering and classifying the processing personnel according to their skill levels; initializing the time distribution of hardware workpiece processing actions under each skill level; constructing a hardware workpiece processing action-effective / ineffective time identification model; marking the types of ineffective time-consuming tasks for each worker's skill level; performing causal tracing for these ineffective time-consuming task types; constructing a causal list of ineffective time-consuming tasks; and generating a sequence of causal improvement tasks for ineffective time-consuming tasks. The beneficial effects of this invention are: improving the accuracy of ineffective time analysis and improvement, and maximizing the efficiency of the hardware processing workshop.

The invention relates to the technical field of information processing, in particular to a person and post matching method, device and equipment based on skill verification and a storage medium. An initial user portrait is constructed according to resume information, and the skill field and skill level are determined based on self-described core skills and self-described skill proficiency; and dynamically generating a test question set matched with the skill field and the skill level, collecting answer results after the user completes the test question set, introducing skill verification to improve authenticity, calculating skill level parameters of each skill of the user by using a preset project reaction theoretical model, and calculating the skill level parameters of each skill of the user. The initial user portrait is dynamically corrected according to the skill level parameters, so that the skill mastering degree can be hierarchically defined and dynamically adjusted, the potential promotion space and development potential of the user can be found, and the final user portrait is matched with the post knowledge graph to improve the user experience. And a post recommendation list is generated according to the matching result, and a skill gap analysis report is output, so that the post matching accuracy is improved.

To provide a polishing machine which can perform polishing to a needed portion of a workpiece to attain highly accurate flatness regardless of the worker's skill level.SOLUTION: A polishing machine includes: a motor provided within a main part 10; a polishing part 40 which is rotated by a motor to polish a surface of a workpiece; and a universal joint 24 and a ball joint 30 which transmit rotation of the motor to the polishing part 40. The universal joint 24 and the ball joint 30 transmit rotation of the motor to the polishing part 40, regardless of an inclination of a rotation axis of the motor relative to a rotation axis of the polishing part 40.SELECTED DRAWING: Figure 3