15 results about "Staff training" patented technology

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 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 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.

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 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 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 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 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.