45 results about "Training material" patented technology

The invention discloses a personalized safety training content generation method, system and device and a medium. The personalized safety training content generation method comprises the steps that answer data, historical performance data and future operation tasks of operators in safety training are collected; safety knowledge weak points and learning behavior modes of the operating personnel are identified, and related risk association points are determined; based on the safety knowledge weak point, the learning behavior mode and the risk association point, constructing a structured user portrait, based on a deep neural network model fused with an attention mechanism, screening basic training content matched with the user portrait from a dynamic training material library, and adjusting the basic training content to obtain a basic training result; according to the method, the personalized target safety training content is generated, and the safety training is performed on the operator according to the target safety training content, so that the generation efficiency of the personalized safety training content can be improved.

Examples related to facilitating the training, assessment, and dispatching of technicians to a customer location for at least the purpose of servicing or repairing machines, devices, or systems present at the customer location are presented. The technician can be selected for dispatch to the customer location by review of database information, including training information for the technician, among other things. While at the customer location, the technician can be provided with training information delivered via a training module, where such training material content can comprise written materials, photos, video, virtual assistance, remote assistance, games, or the like. The technician can generate videos or other collateral while at the customer location, which can be included for use in a library of training materials for subsequent use, or for other purposes. Various systems and processes for facilitating the selection, management and deployment of training materials for technicians are also provided herein.

The invention provides a content generation method, a related device and a computer program product. The method comprises the following steps: acquiring demand description information of target generated content; performing demand decomposition on the demand description information through a demand processing model to obtain material demand information, training an initial demand processing model according to the difference between the training material and the sample material to obtain the demand processing model, and performing demand decomposition on the sample demand description information by the training material according to the initial demand processing model to obtain the material demand information; after the training material demand information is obtained, the sample material is extracted from a material library based on the training material demand information, and the sample material is used for meeting the material demand of the sample demand description information and is extracted from the material library; extracting a target material corresponding to the material demand information from a material library; and generating target generation content based on the target material. Therefore, the demand processing model with stronger perception ability and stronger material selection ability for the material library can be utilized to more accurately generate the material demand information for obtaining the materials required by the processing demand of the user according to the content in the material library, so that the model illusion is reduced, and the user experience is improved. Therefore, the task of demand processing and content generation can be better completed.

The utility model relates to the technical field of teaching equipment, and specifically discloses a single-person command and training device for virtual-reality combined emergency drills, which includes: a table body, a first display screen component and a second display screen component; a VR device cabin and a mainframe cabin are detachably arranged on the table body; the VR device cabin is used to accommodate the VR device; the mainframe cabin is used to accommodate the mainframe; the first display screen component and the second display screen component are both installed on the tabletop of the table body, and the included angle between the display end faces of the first display screen component and the second display screen component is 90 degrees to 180 degrees; the first display screen component is used to store training materials and perform screen sharing with multiple student terminals; the second display screen component is wirelessly connected to multiple VR devices, and is used to issue VR tasks to each VR device and receive the training data returned by each VR device. The utility model can not only improve the training efficiency of the device, but also improve the layout rationality of each accessory.

The invention belongs to the field of drawing space and legend intelligent recognition, and particularly relates to a method and device for intelligently recognizing CAD drawing space and legend through model training, and the method comprises the following steps: S1, drawing training material manufacturing; importing a drawing training material and a calculation amount drawing; s2, a database and algorithm analysis service is read through DWG; s3, for the data stored in the DWG reading database, on the first aspect, target detection model training is carried out through a view model training data set, and a view model is generated; secondly, data are structured through a drawing; thirdly, importing a legend library; s4, for data of algorithm analysis service, on the first aspect, the algorithm is recognized through a legend; and secondly, identifying an effective space range through a space algorithm. The method greatly improves the efficiency, guarantees the identification precision, reduces the technical threshold, strengthens the cooperation capability, and meets the requirements of multiple scenes.

The present application relates to a kind of object material identification method based on knocking sound simulation and deep learning, utilize the model generated to carry out the knocking sound simulation of given knock point, then combine real knock sound and train and compare, and finally analyze and obtain the material of target object.The method includes two parts of deep learning model training and material identification and classification, wherein, deep learning model training includes five steps of constructing training material library, object model construction, actual knock sound recording, knocking sound simulation and model training;Material identification and classification include four steps of target object model construction, target actual knock sound recording, target knock sound simulation and model identification and classification.Compared with prior art, the present application has the advantages of avoiding a large number of actual knock sound collection work, high accuracy of material identification result etc..

A method for evaluating data to be used to train an object recognition model is to be implemented by a computing device. The computing device stores a plurality of training datasets respectively related to a plurality of images, and each training dataset includes a plurality of entries of training data. The method includes steps of: obtaining, for each image, at least one target area and at least one target property that are related to the image based on the entries of training data; creating, for each image, a training material that includes the image, and the at least one target area and the at least one target property both related to the image; and obtaining at least three object recognition models based on the training materials that are created respectively for the images using at least one machine learning algorithm.

The embodiment of the invention discloses an image processing method and device, a storage medium and electronic equipment, and the method comprises the steps: obtaining a customized target IP image picture, carrying out the low-rank fine tuning training of a first diffusion model through employing the target IP image picture, and obtaining a reference IP image generation model, performing training material generation based on the target IP image picture and the reference IP image generation model to obtain at least one IP image generation training material, and performing second diffusion model low-rank fine tuning training on the reference IP image generation model based on the IP image generation training material and the target IP image to obtain a target IP image generation model.

The invention provides a railway tunnel construction man-vehicle safety management and control method and system, and relates to the field of railway tunnel construction safety. Replacing an original convolution module with an improved grouping convolution module in the Neck part of the YOLOv11; adding a coordinate attention module at the tail end of the improved grouping convolution module; an ASFF detection head is adopted in the Head part of the YOLOv11; determining that the person has an illegal behavior according to the person target and sending out early warning information; determining that the vehicle has illegal behaviors according to the vehicle target in combination with radar monitoring data and vehicle-mounted sensor data, and sending out early warning information; pushing violation information and standardized prompts; adjusting an intervention weight according to the illegal behavior; and determining whether to reformulate the training material according to the effectiveness of the pushed information. The method can effectively improve the detection accuracy of the target in the tunnel, improves the man-vehicle detection efficiency, and facilitates the efficient fusion of training and management.

The invention discloses a book management system and method based on an intelligent machine tool, and the system comprises a data management module which manages related books and training data of the machine tool, supports the uploading, deleting and renaming operations of the books, and carries out the classification management of book files according to a directory structure; the intelligent retrieval module provides a book retrieval function based on keywords and supports full name retrieval and keyword retrieval, and retrieval results are displayed in a list form; the reader module provides a PDF reading function of a book and supports page number selection, page zooming and keyword retrieval operation, and an interface is provided with a sidebar to display a thumbnail and an outline of the current book; the system has the advantages that books and training materials related to the machine tool can be managed in a centralized mode, and the uniformity and accessibility of the materials are ensured; through a keyword retrieval function, a user can quickly find a target book, and the search efficiency is improved; the reader function supports various operations, and a user can conveniently browse and read book contents.

According to one example, there is a training system including a processor and a non-transitory computer-readable medium including computer executable instructions for configuring the processor to carry out a method including: providing an electronic user interface for a trainee to login and remotely access training materials via a web-based content access user interface; matching a trainee identification to at least one of a group of parameters; selecting a first training video for the trainee to view based upon the matching step, the first training video having a first topic and a first time of play; initiating play of the first training video; monitoring behavior of the trainee as they view the first training video; selecting a second training video for the trainee to view based upon the monitoring step; initiating play of the second training video; and monitoring behavior of the trainee as they view the second training video.

The invention discloses an insurance sales intelligent partner training system and method based on multiple agents, and relates to the technical field of large language models, the system comprises five kinds of agents, namely a client agent, a comment agent, a lesson making agent, a review agent and a knowledge extraction agent, the client agent loads client information and a script, interacts with an agent and asks when ambiguity is replied; the commenting agent comments and replies according to the target table, and performs abnormal verbal skill and anti-cheating detection; the lesson making agent generates a training material by combining the knowledge points and the customer portraits; the review agent analyzes the grouped partner training result, evaluates team ability and deduces learning materials; the knowledge extraction agent extracts knowledge from the multi-source data, and generates reuse materials or optimization suggestions. According to the system, through simulation interaction and multi-dimensional feedback, an agent is helped to improve skills directionally, the training process can be optimized, the cost is finally reduced, communication specifications are guaranteed, an efficient training system is constructed for insurance enterprises, and the service and conversion efficiency is improved.

A machine learning system includes a processor and a memory communicably coupled to the processor. The memory stores machine-readable instructions that, when executed by the processor, cause the processor to select a training dataset comprising training material compositions and tagged material property values, select at least two material property datasets comprising material compositions with corresponding material property values, and embed the training material compositions and the material compositions of the at least two material property datasets into a chemical space of a machine learning module. The memory also stores machine-readable instructions that, when executed by the processor, cause the processor to predict, based at least in part on the training material compositions and the material compositions of the at least two material property datasets embedded in the chemical space, property values for corresponding material compositions in the at least two material property datasets.

This invention discloses a method and system for generating personalized training content for construction safety, applied in the field of construction safety technology. First, training data is obtained from relevant construction safety training materials to construct a training content database. Knowledge keywords are extracted and divided into multiple knowledge point units. Personal data of construction workers to be trained is collected and analyzed from multiple dimensions to generate corresponding personalized risk tag sets. Then, the first matching degree between the set of required keywords and each knowledge point unit is calculated, and the second matching degree between the personalized risk tag set and each knowledge point unit is calculated using a mapping index. Finally, combining the first matching degree, the second matching degree, and the degree of forgetting of previously trained content, a multi-queue sorting scheme is used to filter and sort target knowledge point units, generating suitable personalized training materials. This invention generates training content based on training needs and integrates the personalized data of trainees, achieving precise education on construction safety and contributing to ensuring construction safety.

The invention discloses an accident scene and mechanism model auxiliary generation method, system and device for dispatcher training and a medium, and belongs to the technical field of power system safety and simulation, and the method comprises the steps: building an event data model through collecting and preprocessing multi-modal operation data; multi-modal representation is constructed based on an event sequence, and hierarchical identification of abnormal signals is realized through self-supervised learning and physical constraint training; establishing a causal mechanism map by using a tagged event, and integrating a plurality of evolution models to realize accident root cause inference and path deduction; mining historical and simulation data based on the mechanism model, generating a parameterized scene template, and generating a customized training material through enhancement and evaluation; and finally realizing continuous closed-loop optimization of the template library and the model through drift detection and an active learning mechanism. According to the invention, accurate characterization of the accident evolution process is realized by fusing multi-modal operation situation data, and diversified and customizable dynamic training materials are generated by using data mining and scene enhancement technologies.

The utility model discloses an electromechanical practical training feeding module, which comprises a bottom mounting plate on which a placing plate is arranged, and is characterized in that an air cylinder fixing plate is arranged at the top of the placing plate, an air cylinder is arranged on one side of the air cylinder fixing plate, and a push block is arranged in the placing plate in a sliding manner; a push rod of the air cylinder penetrates through the air cylinder fixing plate in a sliding mode, the push rod of the air cylinder is fixed to the push block, a storage assembly is arranged on the top of the containing plate, and the containing plate is installed on the bottom installing plate through a support assembly. By arranging the structure of the bottom side plate, the vertical plate, the side connecting plate, the containing groove, the containing plate, the air cylinder fixing plate, the air cylinder and the storage barrel, a material pushing part and a material supplying part are arranged on the same support, and therefore workers can disassemble and assemble the whole device conveniently.

Apparatus and methods for proactively and preemptively communicating with a user interacting with a software application are provided. The apparatus and methods may include an artificial intelligence / machine learning communication engine monitoring and tracking a user's interactions. The apparatus and methods may include the communication engine determining if the user requires further training, if the interaction is fraudulent, and pre-empting requests for information the user may commence. The apparatus and methods may include the communication engine creating and displaying training materials for the user to complete, revoking access if fraud is present, and proactively providing information before the user requests the information.

The present disclosure provides a training value-based material screening method and device, electronic equipment and medium, wherein the method comprises: obtaining a plurality of candidate training materials, determining the data characteristics of the candidate training materials, and the attributes of the business scenarios to which the candidate training materials belong; grouping the plurality of candidate training materials to obtain a plurality of training subsets; determining the multi-modal characteristics corresponding to each training subset, and determining the training value corresponding to the candidate training material according to the multi-modal characteristics and the historical training set, wherein the historical training set is a training set used by a historical training artificial intelligence (AI) model, and the training value is used to represent the contribution of the candidate training material to the iterative optimization of the AI model; and determining whether to use the plurality of candidate training materials to train the AI model according to the training value. The technical problem of slow updating efficiency of the AI model in the prior art, affecting the training effect of the AI model, and leading to poor performance of the AI model is solved.

The invention relates to the technical field of intelligent rehabilitation and special education, in particular to a family cooperative training system and method for autism early intervention, and the method is characterized in that the method comprises the following steps: 1, a parent fills in an autism early intervention scale through a mobile terminal App, the App uploads questionnaire data and a family environment video to a cloud AI evaluation service, and the AI evaluation service is a cloud AI evaluation service; a child personalized intervention file and a training target are generated, and evaluation and filing are carried out; 2, the cloud AI evaluation service automatically generates a standardized multi-dimensional training courseware and a family training plan according to a training target, and pushes the standardized multi-dimensional training courseware and the family training plan to the family end device through the edge gateway to complete scheme issuing; 3, at the home terminal, parents use the touch terminal to play training courseware according to the training plan, and meanwhile, a wearable sensor collects movement and physiological data of children, the personalized matching of training, the participation degree of the parents and the overall intervention effect are improved, and quantifiable, traceable and efficient cooperation of early intervention is achieved.

An object of the system according to the embodiment is to provide an appropriate reskilling material based on the background and the current abilities of a job change candidate.SOLUTION: A system according to an embodiment includes an information collection unit, an analysis unit, and a teaching material generation unit. An information collection part collects the background, the current ability and the background of the job change candidate. The analysis unit analyzes the information collected by the information collection unit. The teaching material generation unit generates a teaching material for an reskilling on the basis of a result analyzed by the analysis unit.SELECTED DRAWING: Figure 1

A construction work information viewing management system will be established using authentication codes. [Solution] By scanning the authentication code with a mobile device at the construction site, it provides a function that allows users to view information on documents required at the construction site, such as training materials for new entrants, safety materials, general preliminary plans, construction drawings, plans, inspection sheets, entry and exit records, etc. It realizes an integrated construction work information viewing and management system that uses a web server, cloud server, and various mobile devices to register and authenticate users, issue authentication codes, and display documents, images, videos, and other information using the authentication code.

A computerized method is provided for leveraging generative AI and large language models to create and implement a client experience associate training system. Reinforcement learning from human and other feedback can be used to generate the training simulator for a variety of specific service groups. Systems and methods can include a training program building component operable to build a training program using AI and / or LLMs from the uploaded training materials of various file types. In some embodiments, systems and methods can include running the training program, after building, to simulate customer interactions across a variety of channels including chat, voice, video and email. In some embodiments, the training program can automatically evaluate the trainee response and provide coaching tips.

The invention, which relates to the technical field of image detection, discloses a high-generalization-oriented counterfeited region self-guiding collaborative learning double-flow detection system comprising a data processing module, an attribute tag generation module, a region guiding feature extraction module, a collaborative feature discrimination module and a training test optimization module. According to the method, random image transformation is performed on a standard sample to generate a twin image pair and an initial region mask, an input generator automatically outputs three types of attribute tags including a counterfeit type, a counterfeit region mask and a tampering proportion value, and a dynamic weighting mixing strategy is adopted to synthesize an enhanced training sample according to the counterfeit type. According to the design, diversified training materials and stable supervision signals can be obtained without manual annotation, the problems that manual annotation is high in cost and limited in coverage range are solved, the adaptability to different counterfeit modes can be improved through rich training samples, and the robustness of the system is improved. And a solid foundation is laid for feature extraction and discrimination tasks.

The invention discloses a production operation and maintenance processing method and device, electronic equipment and a storage medium, the method and device are applied to the electronic equipment, and specifically, training materials for model training are constructed; performing model training based on the training material to obtain an NL2SQL query model; configuring a user role permission and a security check interceptor for the NL2SQL query model; and configuring the NL2SQL query model to a production application operation and maintenance device. According to the scheme, a processor does not need to read event details, apply for query permissions, compile SQL scripts, query data and then carry out analysis. Therefore, the whole process is simplified, the repeated work is reduced, the consumed time is reduced, and the whole efficiency is effectively improved.

The system according to this embodiment aims to efficiently support employee skill development by automatically generating sales training materials and sales support tools. [Solution] The system according to the embodiment comprises a generation unit, a collection unit, and a reflection unit. The generation unit automatically generates sales training materials and sales support tools. The collection unit collects daily sales data and customer feedback. The reflection unit reflects the data collected by the collection unit into the training tools.

The invention relates to the technical field of nephropathy nursing training, and discloses a nephropathy nursing training management method and system based on a knowledge graph. The system comprises a training data preprocessing module, a term word order modeling module, a knowledge graph path generation module, a path cross analysis module, a semantic category judgment module and a training scheme generation module. The training data preprocessing module processes the multi-source nephropathy nursing training materials to obtain preprocessed data subsets; a term word order modeling module extracts a term text according to the term text, models the term text and generates a term word order sequence template; the knowledge graph path generation module generates a knowledge graph path structure according to the template; the path crossing analysis module analyzes the structure to obtain a path crossing set; the semantic category judgment module judges semantic categories based on the set and generates a semantic tag group; and the training scheme generation module is combined with the semantic tag group and the training evaluation model set to generate a personalized training scheme, so that the training process can be optimized, and the training pertinence and effectiveness can be improved.

The invention provides a Chinese character writing training material generation method, training method and device. The generation method comprises the following steps: acquiring a plurality of components based on component screening conditions; obtaining part or all of the components from the plurality of components to obtain at least one first component set; acquiring a plurality of first component families for the components in the first component set; and dividing the Chinese characters in the plurality of first component families according to the component similarity, and generating a Chinese character writing training material which can be used for training from the component accuracy level. Through the generation method provided by the invention, the appropriate training material can be accurately screened out, and scientific classification and division are assisted, so that a set of training materials for really promoting Chinese character writing training are obtained. The training material can guide a learner to learn and enhance the Chinese normal character consciousness from the component accuracy level based on the component similarity, the sensitivity of the learner to component details is improved, and therefore Chinese character recognition is promoted, and the writing accuracy is improved.

The invention belongs to the technical field of hearing impairment rehabilitation, digital medical treatment and voice processing, and particularly relates to an auditory rehabilitation system and method based on multi-dimensional evaluation and structured adaptive training, and the system comprises an auditory evaluation module which dynamically generates personalized confusion phoneme pairs through the retelling test of single characters and sentences in a quiet and noisy environment, the current intelligibility capability is evaluated; structuring a corpus, and generating training materials according to progressive rules of characters, word heads, word middle, word tails and sentences; the intelligibility training module is used for performing special and comprehensive training on speech speed, sentence length, noise and human voice by adopting a retelling method; the self-adaptive scheduling module dynamically adjusts the difficulty according to the continuous expression; the integrated help module provides graded spectrum exaggeration, signal-to-noise ratio adjustment, speech speed adjustment and visual contrast assistance; the phoneme-level debug suggestion module generates digitized debug parameters based on long-term average spectral analysis. According to the invention, precise evaluation of auditory rehabilitation, scientific advancement, adaptive training and closed loop of datamation debugging are realized.

This invention discloses an AI-adaptive training system and method for non-ferrous heavy metal safety standardization information, belonging to the field of enterprise safety production information management technology. Based on enterprise safety procedures and training materials, this method constructs a data-driven closed-loop management system through five steps: training planning, examination and assessment, personnel status monitoring, personalized training, and needs analysis and feedback. This invention utilizes natural language processing technology to parse documents and generate test questions and courseware; it uses semantic similarity algorithms to automatically grade subjective questions, identifying employee knowledge weaknesses and historical score rates; it employs image recognition for online training identity verification; and it uses data clustering technology to analyze common knowledge gaps, generating individual and departmental training needs plans, which are then fed back into the formulation of the next year's training plan. This invention solves the problems of insufficient targeting and low management efficiency in traditional training, significantly improving the accuracy of training and the effectiveness of risk management.