22results about How to "Guaranteed professionalism" patented technology

The invention discloses an engineering safety video generation method and system based on a generative large model. The method comprises the following steps of obtaining an application field and a theme requirement of a required engineering safety video; on the basis of application fields and theme requirements, a retrieval enhancement generation mechanism is adopted to retrieve in the multi-modal knowledge base to obtain related data, and a large language model is utilized to generate a training script copywriting; extracting cue words from the training script copywriting, and based on the cue words, generating a corresponding image by using a diffusion model; and converting the training script copywriting into an explanation audio, and finally synthesizing a virtual explanation video with synchronous mouth shapes by an audio driving model. The method can be suitable for a plurality of engineering scenes such as buildings, mining industry, tunnels, high-altitude operation and the like, has the characteristics of process automation, high content specialty, high generation efficiency and high cross-scene adaptability, and effectively improves the production efficiency and training effect of engineering safety education videos.

The invention discloses a batch CFD data analysis method and device and a storage medium, and belongs to the technical field of computer-aided engineering. According to the method, based on a preset standardized naming rule, standardized naming is conducted on model components and boundary conditions of a geometric model, and the geometric model obtained after standardized naming is exported as a grid file capable of being recognized by a CFD solver; obtaining a CFD solving macro command template containing replaceable variables, dynamically modifying template variables according to the grid file and naming of the grid file, generating a special macro command, performing batch calculation, and exporting a result file according to a set format; and automatically reading all result files, summarizing and analyzing the data according to a naming analysis model and working condition information, and automatically generating a visual chart and an analysis report. According to the method, through standardized naming and scripted control, unattended operation automation of the whole process from the geometric model to the analysis report is achieved, and CFD simulation efficiency and traceability are remarkably improved.

This invention relates to the field of engineering design technology, and in particular to a method and system for auxiliary design of nuclear power plant engineering modifications. A method for auxiliary design of nuclear power plant engineering modifications includes: acquiring multi-format design documents and structuring the content of these documents to obtain structured data with consistent format; establishing a hybrid engine using a first language model and preset rules; extracting nuclear power plant engineering documents using the hybrid engine to construct a tag library; segmenting the structured data and saving it in association with the tag library to construct a nuclear power knowledge base; training a second language model based on the nuclear power knowledge base to establish a domain-specific vertical model; acquiring design instructions and generating auxiliary information using the domain-specific vertical model. This invention significantly improves knowledge utilization by leveraging structured data and a nuclear power knowledge base; ensures professionalism and accuracy through the combination of a vertical domain model and the nuclear power knowledge base; and creates an intelligent auxiliary design process using design instructions, improving design efficiency and document quality.

The invention discloses a digital human interaction method, apparatus and device, and a program product, and aims to solve the problem of misalignment of interaction content caused by inaccurate term recognition of an existing digital human system in the professional field. According to the scheme, the method comprises the following steps: performing text transcription on user voice data in a man-machine interaction process to obtain at least two candidate texts; determining an acoustic probability score and a knowledge enhancement score of each candidate text; wherein the acoustic probability score represents the confidence coefficient that the corresponding candidate text is correctly identified on the acoustic level; the knowledge enhancement score represents a semantic association degree between the corresponding candidate text and a knowledge graph of a target domain; based on the acoustic probability score and the knowledge enhancement score of each candidate text, determining a comprehensive score of each candidate text, and selecting the candidate text of which the comprehensive score meets a preset condition as a target text; and generating a digital human video stream used for answering the target text, and outputting the digital human video stream.

The application provides a large model-based vertical field data construction method, and belongs to the technical fields of data processing and artificial intelligence, and comprises the following steps: converting a vertical field source document into an intermediate format text and dividing the intermediate format text into multiple text blocks; inputting the text blocks into a pre-trained generative language model, guiding the pre-trained generative language model to generate a plurality of candidate questions according to the contents of the text blocks according to a pre-designed prompt word, and performing preliminary screening and fine screening on each candidate question to obtain a question set; predefining a mode of a knowledge graph according to the field characteristics of the vertical field, processing all the text blocks based on an information extraction model, and constructing a field knowledge graph; and performing local context retrieval based on the text blocks of the source of each final question in the question set, performing global knowledge retrieval based on the field knowledge graph, and generating a final answer and a final thinking chain. The application is suitable for different vertical fields, and can effectively improve the quality of data and ensure the accuracy of question generation.

The present application relates to code catalog management technical field, especially for a kind of standardization code catalog management method and system, the present application constructs the standard catalog code base covering multiple geological elements, different geological elements are cataloged data using the mode of subtab classification collection, geological feature change node is automatically identified based on the depth interval of code in each subtable, complete continuous mutually exclusive geological layering processing, through preset description template and code semantic mapping rule, standardization description text in line with geological specification is automatically generated, finally geological layering result, description text and original catalog data are associated storage, realize achievement bidirectional tracing and standardization output.The present application solves the pain points of traditional geological catalog standard not unified, low efficiency, achievement not standard, data not traceable, realizes geological catalog whole-process standardization and automation, greatly improves cataloging operation efficiency and achievement quality.

This invention discloses a method for recommending official document approval opinions based on semantic matching and role awareness, comprising the following steps: S1. Constructing a historical document vector database and a structured metadata database; S2. Obtaining documents to be approved and performing feature extraction and preliminary screening; S3. Performing text block-level similarity retrieval on the documents and aggregating them; S4. Calculating job matching scores based on job information; S5. Calculating the final recommendation score and sorting the documents in descending order based on the final recommendation score, outputting the top 5 with the highest scores as the recommended results. This invention improves recommendation accuracy by using a pre-trained semantic embedding model to understand the deep semantics of document content. Furthermore, through job matching score calculation and approval node position alignment mechanisms, it deeply binds the recommended approval opinions to specific approval positions and approval process positions, achieving personalized recommendations.

The present application relates to the model training sample screening field, for solving the problem that the data cannot be effectively screened in the model training process, resulting in the training cost is improved and the training effect is reduced, specifically for the model data sample intelligent screening method and system for knowledge distillation; The present application carries out multistage screening to the basic data for training when training the model, so as to fully remove the data completely ineffective for training, false interference data and high repeatability homogeneous data, simultaneously, the large amount of data is processed by dichotomization, the homogeneous data can be efficiently selected by jumping, both the removal rate of homogeneous data is guaranteed and the workload when removing homogeneous data is reduced, the data for model training can play an optimizing role for model training, meanwhile, the negative interference of false data is reduced, also can avoid a large amount of homogeneous data to make repeated training, improve the data quality, reduce the training cost.

The invention discloses a question and answer processing method and device based on a large model, a storage medium and electronic equipment, and relates to the technical field of computation.The method comprises the steps that a professional domain question and answer request initiated by a user is received, and the professional domain question and answer request carries question data; performing intention recognition on the question data through a large model in a context supplementing manner, and determining core intention information corresponding to the professional domain question and answer request; calling a retrieval technology to retrieve target data matched with the core intention information from multi-source professional data; analyzing and processing the target data through the large model, and generating a preliminary question and answer result in combination with a professional field empirical model; and performing quality verification on the preliminary question and answer result, and outputting a final question and answer result passing the verification. The question and answer processing efficiency and accuracy can be improved.

The invention belongs to the technical field of graphic processing and automation, and discloses a system for automatically generating a single model picture and video based on an unreal engine, and the system comprises an initialization configuration module which is used for loading a preset light template, analyzing background configuration parameters, and verifying a model list file; the model loading and processing module is used for automatically loading the three-dimensional model to a specified position in the scene according to the model list; and the dynamic zooming module is used for automatically calculating and applying a zooming proportion according to a preset target picture proportion based on the bounding box information of the model, the field angle of the camera and the viewport size. According to the scheme, full-process automatic batch processing is achieved, manpower is liberated, and the processing efficiency is improved by dozens of times or even hundreds of times compared with manual operation. Through a dynamic scaling algorithm and a visual center calibration technology, the composition, the size and the position of each model are strictly kept consistent, and the visual error is small.

The invention provides an inquiry method and device, electronic equipment and a storage medium. The method comprises the following steps: calling an abstract agent to generate a historical health abstract of a patient based on historical health data of the patient; calling an interaction agent to perform inquiry interaction with the patient based on the historical health abstract, and generating an initial medical record of the patient based on interaction information of the historical health abstract and the inquiry interaction; calling a reasoning agent to perform diagnosis reasoning based on medical domain knowledge, the historical health abstract and the initial medical record to obtain preliminary diagnosis information of the patient; sending the preliminary diagnosis information to a doctor terminal, and receiving diagnosis information returned by the doctor terminal; and calling a reasoning agent to generate an illness state analysis report of the patient based on the medical domain knowledge and the diagnosis information. According to the method, the device, the electronic equipment and the storage medium provided by the invention, the intelligent coverage of each link in the inquiry process is realized by the cooperation of a plurality of agents, so that the diagnosis and treatment efficiency and quality are improved.

The invention relates to the technical field of clothing optimization management, and discloses an optimization management method and system based on clothing positioning price tag displacement monitoring, and the method comprises the steps: building a base station map, the base station map records position information of a plurality of electronic price tags and corresponding clothing information, a plurality of detection areas are established according to the base station map, the electronic price tags periodically report position data to a server according to the detection areas where the electronic price tags are located, and the server sends the position data to the server based on the number of movement times of the electronic price tags in a preset time period. And calculating a selected frequency corresponding to each electronic price tag, and sorting all the price tags according to the selected frequencies. According to the method, whether a user is interested in clothes or not is calculated and inferred by establishing a selected frequency algorithm, all price tags are ranked from high to low according to the values, and follow-up actions are triggered if the scores are high and the price tags are judged as high-popularity commodities, so that display optimization and collocation recommendation are assisted to be realized.

This invention provides a method for predicting mapping relationships of medical data fields based on world model learning, belonging to the field of model prediction technology. The method includes acquiring a medical data object containing a source field set and a target field set, performing causal state configuration based on a generative world model to generate intermediate world states, performing alignment inference, and combining consistency policy constraints to generate mapping relationship prediction results. Simultaneously, it utilizes backfilling feedback information for closed-loop optimization. This invention improves the accuracy and interpretability of medical data field mapping and reduces the mapping error rate.

This invention provides an AI-assisted TCM diagnosis and treatment system and method based on a multimodal knowledge graph, belonging to the field of smart healthcare technology. It constructs a multimodal knowledge graph through a logical network between symptom entities, syndrome entities, and prescription entities, as well as a tongue visual feature library and a pulse waveform feature library. Features are extracted from tongue images and pulse signals to obtain tongue and pulse feature vectors, and semantic matching and association are performed to obtain multimodal perceptual evidence. The patient's chief complaint features are linked and traversed using the multimodal knowledge graph to obtain preliminary diagnostic hypotheses. Based on the multimodal perceptual evidence, dynamic confidence fusion and syndrome correction are performed on the preliminary diagnostic hypotheses to obtain a confidence-based diagnostic prompt. Finally, a structured TCM diagnosis and treatment plan is generated through a large language model. This invention can achieve dynamic confidence fusion of multimodal perceptual evidence such as TCM tongue diagnosis and pulse diagnosis with diagnostic knowledge logic, thereby improving the accuracy of AI-assisted TCM diagnosis.

This design belongs to the technical field of input method practice software, specifically involving a nine-key input method practice software that is compatible with various nine-key input methods, supports key-specific practice, and provides real-time feedback on correct and incorrect input.

This invention discloses a robust control method and system for brain-controlled unmanned aerial vehicles (UAVs) based on a large model, belonging to the field of brain-computer interface and UAV control technology. Specifically, it includes: acquiring EEG signals and identifying discrete brain-controlled event commands; inputting these commands into a large model intent reconstruction module after sliding window serialization encoding; outputting action candidates with multiple risk levels; performing parsing verification, risk assessment, and motion feasibility checks on the action candidates; selecting the final action and mapping it to parameterized motion skill atoms; having a state machine manage the execution of the skill atoms; implementing closed-loop execution via the flight control interface and monitoring safety boundaries; and triggering hovering and return-to-home actions in case of anomalies. This invention achieves intent reconstruction and risk-layered decision-making for brain-controlled commands, constructing a full-link safety closed-loop control system. It significantly improves the control stability, safety, and system resilience of brain-controlled UAVs under uncertain command conditions, reduces the risk of false triggering, and increases the mission success rate.

The application discloses a kind of intelligent maintenance suggestion recommendation method, system, equipment and medium, it is related to intelligent maintenance suggestion recommendation field, the method includes: using pre-training and after field data fine-tuning large language model, the intent analysis and component entity extraction of fault description text are carried out;Based on component entity synonym library, maintenance component entity is normalized;Using hybrid retrieval strategy, similar fault cases are recalled from fault knowledge base;Using large language model, information extraction and structured reorganization are carried out on the similar fault cases recalled, generate fault summary report, retrieve associated maintenance procedure items from maintenance procedure knowledge base, filter the relevance of the maintenance procedure items retrieved, select the operation steps directly associated with the current fault scenario and core component entity, generate maintenance suggestion and push to client, the application improves the precision of component entity extraction, reduces the cost of rule maintenance, improves the adaptability of new fault scenario.

This application discloses an information acquisition method, apparatus, device, and storage medium, belonging to the field of artificial intelligence technology. The method includes: acquiring the intent classification result of a natural language question, whereby the intent classification result indicates the intent type corresponding to the natural language question; determining a target retrieval method from multiple retrieval methods based on the intent classification result; wherein the multiple retrieval methods are used to acquire knowledge at different levels of expertise; and retrieving the answer to the natural language question from the knowledge base corresponding to the target retrieval method using the target retrieval method. This application ensures the professionalism of the answers by retrieving answers at different levels of expertise for natural language questions with different intent types, thereby improving the accuracy and flexibility of information acquisition. Furthermore, since this application is not limited to obtaining answers from a single knowledge base, it ensures the recall of information. This application can be applied to intelligent question answering in the medical field (such as medication and medical consultation).

The application provides a psychological support answer automatic generation method based on LLMs iterative correction, first constructs a seeker character image prompt, then carries out resource library retrieval according to the seeker character image prompt, and obtains a plurality of answers; uses LLMs to generate a corresponding strategy chain for each answer, and guides LLMs to select an optimal strategy chain therefrom; then generates an initial answer based on the optimal strategy chain; iteratively guides LLMs to discover the 'deficiency' information of the initial answer, and finally constructs a correction suggestion based on the 'deficiency' information of the initial answer to guide LLMs to generate a final answer. The application is based on retrieval enhancement, combines the psychological support strategy theory and the internal function of LLMs self-exploration and correction, constructs a dynamic and cooperative triple prompt framework, and guides LLMs to generate a high-quality answer with higher relevance and individualization.

The application discloses a visualized editing advertisement content generation method and device, electronic equipment and product, and relates to the technical field of advertisement production. The method comprises the following steps: in response to a selection operation of a user on an advertisement template in an advertisement template library, loading the selected advertisement template; dynamically rendering all layer elements of the selected advertisement template in a browser; in response to an editing operation of the user on any layer element of the selected advertisement template, adjusting the any layer element to obtain a newly generated advertisement, wherein the editing operation comprises a layer element layout editing operation, a layer element attribute editing operation and / or a layer element switching operation; in response to a publishing operation of the user on the newly generated advertisement, converting the newly generated advertisement into a picture file for publishing, and saving design data of the newly generated advertisement to a server. The application can solve the problems of high technical threshold, low efficiency, difficulty in guaranteeing standardization and high modification cost in existing advertisement content production.

The embodiment of the invention provides a text translation method and device, computer equipment, a computer readable storage medium and a computer program product, and belongs to the technical field of machine translation. The method comprises the steps that retrieval is conducted in multiple knowledge bases with a to-be-translated text as a query condition, retrieval results returned by all the knowledge bases are obtained, and the retrieval results returned by all the knowledge bases comprise at least one candidate result; performing relevancy evaluation on all candidate results returned by each knowledge base to obtain a relevancy score of each candidate result; determining a constraint label of each candidate result based on the relevancy score of each candidate result; generating a prompt template based on each candidate result and the corresponding constraint label; and inputting the prompt template and the to-be-translated text into the large language model, and outputting a translated text of the to-be-translated text through the large language model. The text quality of the translated text can be improved.

The invention relates to the technical field of multi-model collaboration, and discloses a task process automatic generation method and device, computer equipment and a storage medium, and the method comprises the steps: obtaining multi-modal input information; extracting semantic elements of the multi-modal input information, inputting the semantic elements into a preset story template, and injecting domain knowledge into the story template to output a story framework; performing structured processing and compliance and integrity verification on the story framework; inputting the structured user story which is verified to be qualified into a project management system to generate a final user story; and based on the final user story, updating the knowledge base to form an executable automatic task process. Through structural processing, knowledge enhancement and compliance integrity verification, in combination with an automatic access program and object storage-based knowledge base support, the problems of low efficiency and insufficient automation of traditional manual writing are solved, the compliance and speciality of user stories are guaranteed, and the convenient development requirements in the financial and medical fields are met.