29 results about "Staff training" patented technology

The invention relates to the technical field of employee training, and discloses an artificial intelligence-based employee training assessment method, device and equipment, and the method comprises the steps: obtaining the basic data, work behavior data and historical training data of an employee, carrying out the fusion of all data, and constructing a multi-dimensional employee portrait; based on the performance goals, determining training goals of the employees, and generating personalized training contents; a knowledge system is constructed according to personalized training content, real-time knowledge recommendation is performed in actual work, and a practice result is recorded; generating personalized assessment content for intelligent assessment to obtain an assessment result; and evaluating the employee training effect according to the practice result and the assessment result. The employee portrait is constructed through multi-source data fusion, accurate mapping from performance goals to personalized training is achieved, the matching degree of training content and employee ability short boards is improved, the knowledge conversion efficiency is enhanced, closed-loop management is formed in combination with real-time knowledge recommendation and scene practice, and the talent training efficiency is improved.

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 invention provides an enterprise employee training and development management system based on an online cloud platform. The enterprise employee training and development management system comprises a user management module used for obtaining user information of employee users; the curriculum library management module is used for establishing a curriculum library to store different classes of training curriculums and managing the stored training curriculums; the course recommendation module is used for calculating a recommendation degree factor of each course in a course library to the employee user in real time according to the user information of the employee user, and generating training course recommendation information for the employee user; and the learning evaluation module is used for evaluating the training effect of the employee user for the training course in the process that the employee user completes the training course, and updating the user information according to the training effect evaluation information. According to the invention, on the basis of a proposed training effect feedback mechanism, the recommended course is adjusted in real time, and the personalized adaptation effect and the intelligent level of employee training are helped to be improved.

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

The application discloses a personalized dynamic question bank generation method and system based on a large model, comprising the following steps: obtaining an employee portrait and an ability representation based on employee identity information, and constructing an ability evaluation model; dividing the enterprise knowledge base into knowledge domains to form a searchable evidence fragment set associated by theme; determining an ability gap based on the post target ability and the ability representation, and generating a question setting blueprint containing the question setting theme, the question type, the question amount and the difficulty requirement; performing retrieval enhancement generation according to the question setting blueprint, and calling a large model to generate candidate questions; automatically checking the quality and calibrating the difficulty of the candidate questions, and screening and generating a question set under the constraints of coverage range and difficulty ratio, and then encapsulating and issuing the question set to the terminal; receiving the answer results returned by the terminal, and updating the ability representation based on the answer results. The application realizes the self-adaptation of the question content and difficulty to the employee ability change, and improves the pertinence, efficiency and safety production level of the power plant employee training and examination.

The invention discloses a training system for security and secrecy, and relates to the technical field of security and secrecy training systems. According to the training system for security and secrecy, the duration of security and secrecy training of an employee in a training period G + 1 is subjected to timing planning by using the assessment score CJ of security and secrecy training of the employee in the training period G and the active learning duration ZD of the employee reading training data between the training period G and the training period G + 1 for active learning; the training duration of each employee is precisely regulated and controlled, the situation that in a traditional technical scheme, all the employees are trained in a unified duration, the training duration is better matched with the actual situation of the employees, the employee training quality can be more effectively improved, the employees can be reminded to actively learn weak courses during training examination, and the training efficiency is improved. The method can help employees to make up for weak items of assessment, reduces the error rate of the employees in daily work, and improves the safety and confidentiality.

The invention relates to the technical field of training devices, and discloses a portable multi-scene employee training device which comprises an angle adjusting mechanism, a panel, a folding frame, a control terminal arranged on the panel or the folding frame and a driving part in communication connection with the control terminal, the panel is hinged to the folding frame, and the angle adjusting mechanism comprises a connecting rod, a lead screw and a sliding block. The lead screw is rotatably installed on the folding frame and is in transmission connection with the driving part, the lead screw is sleeved with the sliding block, the sliding block can move in the axial direction of the lead screw, one end of the connecting rod is hinged to the sliding block, the other end of the connecting rod is hinged to the panel, and therefore the axial displacement of the sliding block drives the connecting rod to push the panel to do pitching rotation relative to the folding frame. The training device can quickly adjust the angle of the panel according to the training environment and the state of trainees.

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

The invention discloses a personalized training scheme generation system and method based on data analysis, and relates to the technical field of training management. The personalized training scheme generation system based on data analysis comprises a training portrait initial evaluation module, a portrait reconstruction judgment module, a training path timeliness judgment module and a reconstruction path validity evaluation module. According to the method, the initial portrait updating priority is obtained, whether portrait updating is triggered or not is judged for employee training portraits, if yes, portrait construction data is updated, if not, updating critical evaluation is carried out, then whether personalized training paths are reconstructed or not is judged, and if not, personalized training path generation intervals are optimized, so that the personalized training path generation efficiency is improved. Otherwise, whether the initial portrait updating priority is adjusted or not is judged, the generation timeliness of the personalized training scheme is improved, and the problem that the association degree between the generation timeliness of the personalized training scheme and the training progress is insufficient in the prior art is solved.

The invention discloses an employee training method of a financial institution, electronic equipment, a storage medium and a product, and relates to the technical field of financial science and technology. The method comprises the following steps: in response to a starting instruction of a training task of a target financial institution, determining a target training virtual environment matched with the training task; issuing a learning instruction of the preset task operation to the target training employee, and receiving a target operation action made by the target training employee for the preset task operation; determining whether the target operation action is matched with a preset operation action or not; and under the condition of determining that the target operation action is matched with the preset operation action, determining that the learning of the preset task operation is completed, and continuously issuing a learning instruction of the next preset task operation to the target training employee until the learning instructions of all the preset task operations are completely learned. According to the scheme, the training efficiency of financial institution employees can be improved, the employees can truly feel the working environment, and real-time interaction and feedback in the training process are achieved.

The application discloses a personalized training scheme generation system and method based on data analysis, and relates to the technical field of training management.The personalized training scheme generation system based on data analysis comprises a training portrait initial evaluation module, a portrait reconstruction judgment module, a training path timeliness judgment module and a reconstructed path effectiveness evaluation module.The application obtains an initial portrait update priority and judges whether the employee training portrait triggers portrait update.If yes, the portrait construction data is updated, otherwise, the update criticality is evaluated, then whether the personalized training path is reconstructed is judged.If no, the personalized training path generation interval is optimized, otherwise, whether the initial portrait update priority is adjusted is judged, the generation timeliness of the personalized training scheme is improved, and the problem that the generation timeliness of the personalized training scheme and the training progress correlation are insufficient in the prior art is solved.

1. Name of the Design Product: Robot. 2. Use of the Design Product: Applied to fields such as welcoming guests in office buildings, restaurant service, station service, hotel reception service, etc. in railway service scenarios, and can be widely used in various scenarios such as guiding and explaining the corporate culture publicity positions of each station section and staff training in railway vocational training bases. 3. Design Key Points of the Design Product: Lies in the combination of shape and color. 4. Picture or Photo Most Indicating the Design Key Points: Three-dimensional view. 5. The claimed design includes color.

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

1.The name of the design product: railway icebreaking device (intelligent type) 2.The use of the design product: the design is used for railway icebreaking device, and the product is used for railway power supply section employee training, and the contact network maintenance technology is explained combined with frozen rain disaster cases. 3.The design points of the design product: in shape. 4.The picture or photo that can best show the design points: perspective view.

The invention discloses a test method of a vehicle depot staff practical operation analysis system, and belongs to the technical field of system test. According to the invention, the problem that the operation quality cannot be guaranteed during actual operation due to the fact that the practical training quality of staff training cannot be guaranteed is solved. According to the invention, a perfect test data set construction method is established, and the test data set simultaneously comprises video data of normal scene implementation and possible abnormal scene implementation, so that scenes involved when employees carry out implementation projects can be covered to the maximum extent. The test program meeting the requirements can be obtained by using the test video data set, and the test program can be applied to practical training image recognition tests of staff of railway trains, high-speed rails, subway rail transit and the like, so that the practical training quality is ensured, and the operation quality during practical operation is effectively ensured. The method provided by the invention can be applied to the test of the employee real-work analysis system.

The utility model discloses a positioning tool for an automobile interior black film, belongs to the technical field of automobile film pasting, is used for assisting in automobile door interior film pasting, and comprises a fixing device, an auxiliary part and a black film positioning part. The auxiliary part is clamped on the automobile door; the black film positioning piece used for limiting the position of the black film is installed on the fixing device. Wherein the fixing device is attached to the side end of the auxiliary part, and correction of the position of the fixing device is achieved; besides, the positioning tool for the automobile interior black film is designed by comprehensively analyzing the defects of an existing film pasting technology, the film pasting efficiency and quality are improved, meanwhile, the operation difficulty and the labor cost are reduced, the training efficiency of new employees can be efficiently improved, the personnel training period is shortened to a certain degree, the new environment adaptation time of the employees is shortened, and the film pasting efficiency is improved. The training cost of new employees is reduced, the period is shortened, more new employees can be fused into the production environment early, and the application prospect is good.

The application relates to an employee training demand intelligent prediction method, system, device and medium. The method comprises the following steps: collecting enterprise employee micro and organizational macro time sequence data, constructing a dynamic heterogeneous graph sequence containing employee, skill, organizational target node and corresponding dynamic edge; outputting employee skill state and organizational future skill demand intensity through a double-channel time sequence encoder; constructing an enhanced static graph and identifying a skill gap through heterogeneous graph convolution to generate a skill gap priority list; based on the skill prerequisite relationship, a deep Q network is used to plan a personalized learning path, and a knapsack optimization model is used to complete path combination and resource allocation. Through the dynamic heterogeneous graph modeling of individual skill state and organizational strategic demand, heterogeneous graph convolution feature enhancement, reinforcement learning and path planning, etc., the accuracy of employee training demand prediction, the personalized adaptability of training path and the utilization efficiency of enterprise training resources are effectively improved.

The present invention discloses a method for extracting data information from key domains of big data information, which belongs to the technical field of data information processing. The method is used to solve the technical problems of poor extraction and processing effects and poor analysis and evaluation effects of new employee training big data information in existing solutions. The method processes and analyzes the overall training status of new employees corresponding to different positions based on all training data to obtain several target positions and several target training data. The method processes and extracts data in the dimension of reasons for not joining the job for all target positions obtained through processing, and performs data calculation and analysis mark combination on the extracted data corresponding to different reasons for not joining the job according to the screening and classification to obtain a first abnormal impact identification extraction set. The method processes and extracts data in the dimension of failed data items for all target training data obtained through processing to obtain a second abnormal impact identification extraction set.

The invention relates to the crossing field of enterprise human resource management and information technology, and specifically discloses a dynamic evaluation and feedback system for employee training effects. The system comprises a behavior sequence modeling module, a dynamic effect evaluation module and an intelligent feedback decision module. The behavior sequence modeling module is used for obtaining the working behavior data after employee training from a business system and generating a quantitative state vector. And the dynamic effect evaluation module constructs a behavior mode evolution trajectory according to the continuous state vectors, and dynamically evaluates the training effect by analyzing the geometric characteristics of the trajectory. And the intelligent feedback decision module generates a personalized intervention instruction through a feedback strategy utility network according to the evaluation result. All the modules are sequentially connected to form a closed loop, and the decision is continuously optimized by utilizing subsequent working behavior data. According to the invention, the continuous evaluation and accurate feedback of the training effect in the conversion process in the actual work are realized.

The invention discloses an employee training examination and effect evaluation system and method based on artificial intelligence, and relates to the technical field of equipment line change training examination, and the method comprises the steps: building an equipment line change training examination platform, and accessing a terminal device; the equipment line change training examination platform pushes a teaching video to the terminal equipment, collects micro-behaviors of the employees in the learning process and constructs a behavior feature sequence with a unique index as an identifier; calculating training evaluation values of the employees based on the behavior feature sequence, pushing a simulation training examination page to the employees whose training evaluation values are greater than or equal to a preset first evaluation threshold value, and performing training examination on the employees; setting an assessment scene based on the teaching video, and obtaining an assessment score of the corresponding scene according to the longest correct operation quantity and assessment time; and performing weighted summation according to the assessment score of the corresponding scene and the theoretical assessment score to obtain an effect score. According to the invention, the intelligent level of training evaluation is greatly improved.

The invention relates to the technical field of marketing, and discloses a laundry customer insight system based on customer investigation and big data, and the system comprises the steps: collecting the feedback of customers on the service quality, speed and convenience of a laundry through applets, beauty groups, public comments, and offline channels including customer suggestion books and questionnaires; customer feedback is analyzed through the big data platform, problems existing in laundry service quality are found out, and deep customer insight analysis is carried out; displaying a data analysis result in a chart form through a BI tool; and performing targeted service quality improvement according to an analyzed result, which specifically comprises optimization of a service process, enhancement of employee training, improvement of service quality, provision of personalized services and optimization of personnel configuration. According to the method, the defects of the existing customer insight method can be effectively overcome, the laundry is helped to comprehensively understand customer demands, deep customer insight analysis is carried out, and targeted improvement measures are formulated, so that the customer satisfaction is improved.

The invention discloses a data processing method for enterprise employee training, and relates to the technical field of data processing, and the method comprises the steps: obtaining first training content, carrying out the grid division of the first training content, obtaining a content region grid and a content grid sequence, and transmitting the content grid sequence to an interaction end; sending the first training content to a training display terminal; receiving reference operation data fed back by the interaction end, obtaining a behavior type combination based on the multi-dimensional behavior model, and generating a first analysis report; determining second training content based on the first analysis report and a multi-dimensional analysis rule; a second analysis report is obtained according to the second training content, a cross-knowledge navigation and cross-behavior mode curve is generated based on the first analysis report and the second analysis report, and then third training content is determined; a multi-dimensional behavior model is established to analyze employee operation data from multiple dimensions, behaviors and concentration distribution of employees in the training process are comprehensively displayed, and the effect of deep analysis of user behavior intentions and behavior modes is achieved.

The invention provides an employee training method and an employee training device based on a teacher-apprentice mechanism. The method comprises the following steps: acquiring a first skill matrix of a tutor and a second skill matrix of each student; calculating a matching degree based on the first skill matrix and the second skill matrix; distributing the students to the tutor with the maximum matching degree to obtain a first teaching scheme; a teaching task is sent according to the first teaching scheme, and a real-time third skill matrix of the student is acquired; decomposing an actual business task into a plurality of sub-tasks, and respectively constructing corresponding demand skill matrixes; calculating the matching degree according to the demand skill matrix and the third skill matrix, sending the subtask corresponding to the maximum matching degree to the student terminal, and determining the task completion degree according to feedback; and adjusting the first teaching scheme based on the task completion degree and sending the first teaching scheme to the student terminal and the tutor terminal. The method solves the problem that the method in the prior art cannot be flexibly matched with the trainee ability, so that the cultivation direction is deviated, the cultivation efficiency is reduced, and the cultivation cost is high.

The application discloses a kind of pipeline operation and SOP consistency identification method based on artificial intelligence, and realizes the real-time consistency identification of pipeline operation and SOP by artificial intelligence and multi-view visual acquisition, effectively solve the problem that artificial supervision is strong in subjectivity, standard is not unified, guarantee the objective consistency of judgment result;Full station, full staff, full period uninterrupted monitoring can be realized, and coverage is greatly improved;System can identify operation deviation in real time and correct on-site early warning, change post-repair into prevention, significantly reduce hysteresis;While reducing the cost of artificial inspection, automatically generate quantitative statistical data, provide data support for production optimization and employee training;Compared with traditional video monitoring, the present application has structured SOP intelligent comparison capability, accurate identification, timely feedback, can effectively improve SOP execution rate, product quality and intelligent level of production management.

The invention relates to an injection molding machine control method with an interactive tutorial function, and relates to the field of injection molding machine control, and the method comprises the steps: responding to a control trigger signal, and obtaining an actual parameter operation value, a current production task and a user identity; searching all standard parameter set values corresponding to the current production task based on the process knowledge base; according to all the actual parameter operation values and the corresponding standard parameter set values, actual value deviation is obtained through calculation; when the actual value deviation is greater than a deviation threshold value corresponding to the actual parameter operation value, obtaining an abnormal type corresponding to the actual value deviation; acquiring an emergency level based on all actual parameter operation values; calculating a push priority according to the exception type, the emergency level and the user identity; and obtaining a tutorial guidance scheme from the tutorial knowledge base according to all the push priorities, and outputting the tutorial guidance scheme. The method has the effects of shortening the new employee training period, simplifying the operation process and improving the operation efficiency.

The invention discloses a multi-role collaborative drilling method, device and equipment and a storage medium, and belongs to the field of railway staff training, and the method comprises the steps: obtaining a target scene processing file corresponding to a practical operation drilling scene from a database according to the practical operation drilling scene of a target railway current system contained in an actual joint drilling demand; analyzing the target scene processing file to obtain a practical operation processing flow in the practical operation drilling scene; determining a current operation role according to the practical operation processing flow; the operable information is sent to the current operation role, so that the current operation role completes the processing steps needing to be executed, and drilling is completed. According to the invention, diversified training requirements are flexibly met, the labor cost and the time cost of railway grass-level staff training are reduced, and the training efficiency of railway grass-level staff is improved.

The invention relates to the technical field of human resource service, and particularly discloses a human resource service method based on big data analysis, which comprises a data acquisition layer, a data storage layer and a data analysis layer, the data acquisition layer comprises a human skill acquisition module, a human performance acquisition module, a training demand acquisition module, a salary competitiveness acquisition module, a human service state acquisition module and a human background state acquisition module. Whether the human resource recruitment process is scientific and reasonable and whether salary distribution is fair and effective can be accurately judged through the performance adaptation index and the remuneration development index; according to comparison between the performance adaptation index and a preset threshold value, the matching degree between the recruiters and the posts and the performance can be clarified, and then whether the recruitment process is optimized or not is determined; through the analysis of the emolument development index, the relationship between the emolument competitiveness and the employee training demand can be judged, the emolument strategy is reasonably adjusted or the training investment is increased, and the enterprise is assisted to make a scientific and accurate human resource management decision.

The application discloses a data processing method for enterprise employee training, and relates to the technical field of data processing, which comprises the following steps: obtaining first training content, performing grid processing on the first training content to obtain a content area grid and a content grid sequence, and sending the content grid sequence to an interactive terminal; sending the first training content to a training display terminal; receiving reference operation data fed back by the interactive terminal, obtaining a behavior type combination based on a multi-dimensional behavior model, and generating a first analysis report; determining second training content based on the first analysis report and multi-dimensional analysis rules; obtaining a second analysis report according to the second training content, generating a cross-knowledge navigation and a cross-behavior mode curve based on the first analysis report and the second analysis report, and then determining third training content; and establishing a multi-dimensional behavior model to analyze employee operation data from multiple dimensions, and comprehensively displaying the behavior and concentration distribution of employees in the training process, so that the deep analysis effect of user behavior intention and behavior mode is realized.

The utility model relates to a simulation test device for various major loop control logics of a high-voltage frequency converter. The simulation test device comprises a control signal receiving circuit, a state feedback circuit, a contactor control circuit and a power frequency branch control circuit, the device is characterized in that the control signal receiving circuit is composed of a relay K1, one end of a coil of the relay K1 is connected with the positive electrode of a 24V direct-current power supply, and the other end forms a control input end; the state feedback circuit is used for simulating state signals of an isolation disconnecting link and a contactor in a main loop topology circuit of the high-voltage frequency converter; the relay control circuit is composed of a relay K2, a relay KM3, a relay KM4 and a relay KM5. The simulation test device for various major loop control logics of the high-voltage frequency converter can simulate various forms of major loop topology circuits of the high-voltage frequency converter and then verify an upgrade program, thereby facilitating verification of the upgrade program, saving manpower and material resources, and being used for training and teaching new employees.