42results about How to "Guaranteed professionalism" patented technology

The invention discloses a tendering and bidding field question-answering method and system based on a retrieval enhancement generation architecture, and relates to the technical field of tendering and bidding. According to the method, a tendering and bidding data set is collected and constructed, and fragment texts are vectorized and stored in a vector database through an embedded model; therefore, efficient retrieval of related information can be realized according to similarity retrieval. When a user asks a question, the system retrieves relative content according to the similarity and fills the content into a standardized verbal skill template to ensure the accuracy and specialty of question and answer, and then a large language model base is finely adjusted through question and answer pair data, so that the model has higher understanding and answering ability in the field. Compared with a question answering system based on deep learning, the accuracy and the breadth are greatly improved, and the professionality of system answering is ensured. According to the method, the problems of non-standard user question expression, incomplete question and answer knowledge coverage and low question and answer generation quality of a question and answer method in the bidding and tendering field are solved.

The invention belongs to the technical field of computers, and particularly discloses a medical dialogue service device and system based on a large language model, and the device comprises a data set construction module, a model training module and a model application module. The data set construction module comprises a dialogue sample reconstruction unit, a knowledge graph question and answer pair generation unit and a dialogue sample rewriting unit; the model training module is used for training a large language model based on the reconstructed dialogue sample, the knowledge graph question and answer pair and the rewritten dialogue sample to obtain a trained large language model; and the model application module is used for inputting the question content carried by the dialogue request to the trained large language model to obtain the answer content. According to the method and the device, high-quality medical dialogue service can be provided for the user in an end-to-end dialogue mode aiming at an actual medical consultation scene.

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 provides a voice-driven government affair report intelligent generation method, which comprises the following steps that: a user can input once or multiple times according to the complete requirement of voice input on an official document, the form is spoken language, and rigorous wording is not needed, a system firstly converts the voice of the user into characters through a voice recognition technology; and then, through the large model, carrying out logic carding on the oral instruction of the user, so that the oral instruction becomes a government affair official document overall generation requirement which is smooth in statement, clear in expression and smooth in logic, the user can check and modify the government affair official document overall generation requirement generated in the step S1, and the user can check and modify the government affair official document outline generated in the step S2. According to the voice-driven government affair report intelligent generation method provided by the invention, by introducing a voice input and natural language interaction mode, the overall efficiency is improved: a government affair official document generation demand can be input in a natural language through a voice mode, and manual input and specific verbal skill description demand are not needed.

The invention belongs to the technical field of computer software data processing and text mining, and particularly relates to a similarity detection method and system for science and technology project texts. The method comprises the following steps: step 1, obtaining a text, and preprocessing the text; 2, judging an application scene of the text, performing feature extraction according to selection of the application scene, then converting the extracted features into character strings with fixed lengths, and finally obtaining fingerprint features of the text through Hash calculation; 3, creating an index instance, adding the data into an index, constructing a Faiiss vector retrieval library, then performing similarity retrieval through an AAN algorithm, and obtaining the similarity between the fingerprint features of the text and the text in the index library; and 4, sorting and filtering the retrieval results, and judging whether text repetition exists or not according to a set threshold value and outputting the text repetition. According to the invention, the accuracy and reliability of the detection result are improved, and the detection efficiency is improved.

The invention discloses a health management platform based on deep learning, and belongs to the technical field of data processing, the platform can perform qualification verification and real-name authentication on registered doctors through setting a doctor registration module, so as to ensure the specialty of the doctors and provide basic guarantee for subsequent automatic health management; meanwhile, a physician data interaction module is arranged to collect historical user body data and corresponding health management suggestions, so that data for deep learning is obtained; then, a deep learning module is adopted to learn historical user body data and corresponding health management suggestions, and health guidance rules are formed; and finally, a health guidance rule is scheduled through the health guidance module to analyze the current user body data input by the user data interaction module, so that a target health management suggestion is obtained, the health management efficiency can be effectively improved, and the user can better manage own health and prevent diseases.

The invention discloses a customer service management system based on wireless signal transmission, and relates to the technical field of customer service management. Comprising a client, a mobile device capable of realizing remote wireless communication of the client, a server, a database and a server, the server is responsible for receiving and processing requests sent by the client and returning processing results to the client, and the database is used for storing all client information, service requests and processing records. The wireless communication mode between the client and the server can be operator communication based on Telecom, Mobile and Unicom, and can also be network communication, and the client is a smart phone or a tablet personal computer. According to the invention, through the server connected with the client, on one hand, the client can respond to the service demand in time, and then the server carries out service demand matching, so that the demand feedback and demand processing of the client can be timely, and the customer satisfaction can be greatly increased; therefore, the data plasticity is ensured.

The present invention provides a medical question and answer recommendation method, a recommendation system and a computer-readable storage medium. The medical question and answer recommendation method includes: obtaining medical questions; preprocessing the medical questions to determine multiple keywords; constructing a knowledge graph triple set based on multiple keywords; querying a candidate answer set for the medical question in an existing knowledge graph based on the knowledge graph triple set; extracting the best answer from the candidate answer set and pushing it. Through the technical solution of the present invention, it is realized to combine statistical analysis, knowledge graph construction and feature selection, and automatically recommend medical question and answer scenarios under natural language by means of human-computer interaction. While ensuring the accuracy and professionalism of the recommended answers and meeting the needs of users to obtain health and medical related knowledge, it improves the utilization rate of medical information resources and information query efficiency, saving redundant working time for medical workers.

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 management and control review system capable of realizing classified storage, and particularly relates to the technical field of science and technology project review, the system comprises a project information input module, and the output end of the project information input module is connected with a material uploading and preliminary classification module; the output end of the material uploading and preliminary classification module is connected with an expert intelligent matching module and a review rule setting module, and the output end of the expert intelligent matching module and the output end of the review rule setting module are connected with a file automatic identification module. During project declaration, operation of a person in charge is facilitated, efficiency is improved, accurate feedback is provided, accuracy and fairness are improved for review experts, professional matching is ensured, tasks are clarified, an auxiliary module improves accuracy and fairness, experience sharing is promoted for an expert community, review quality is improved on the whole through multiple modules, valuable projects are screened, and efficient storage management is achieved. Big data assists decision making, and the public participates in increasing transparency and innovative ideas.

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.

The invention discloses a psychological counseling method and system based on an AI dialogue system, and relates to the technical field of artificial intelligence. By adopting a psychological professional data set construction algorithm, normalization, specialty, privacy and safety of model input are ensured, a multilevel filtering and evaluation method is adopted, a large model is used for data scoring and screening, a sensitive word filtering and manual proofreading mechanism and other related technologies are used, the quality of data required by the model can be improved, and the method is suitable for popularization and application. The performance of the constructed psychological dialogue model is improved, the reliable AI dialogue psychological large model is trained through technologies such as incremental pre-training, supervised fine tuning, reinforcement learning training and artificial feedback reinforcement, the model can more accurately understand user input, professional and high-quality consultation replies are generated, and the method is suitable for popularization and application. And the constructed psychological dialogue model is continuously optimized and improved according to user feedback, so that the consultation quality of the model and the user experience are improved.

The invention relates to the technical field of data processing, and particularly provides a method and system for adding an implicit secure watermark, and the method comprises the following steps: S1, constructing an Excel workbook and a worksheet; s2, data filling and formatting; s3, preprocessing and adding a watermark picture; and S4, exporting the Excel file and releasing resources. Compared with the prior art, the method has the advantage that the protection of sensitive data in the Excel file can be enhanced by adding the implicit secure watermark.

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 discloses a construction method of a field acquisition system based on a parameterized constraint data model. The construction method comprises the following steps: S1, constructing a framework model of a field acquisition data model based on a Sqlite database; s2, on the basis of the frame model of the field acquisition data model, constructing the field acquisition data model by using a declarative data model definition tool; s3, compiling and generating a field acquisition system based on the unified field acquisition system framework and the field acquisition data model; and S4, when the field acquisition system acquires data, generating a data acquisition interaction interface according to the data model drive, and realizing input, storage management and display of the acquired data. According to the method, professionals can conveniently and quickly define field acquisition data contents, and the integrity, specialty and flexibility of entity object survey contents are ensured.

The application provides a social channel management method, device, equipment, storage medium and program product. The method comprises the following steps: acquiring description information of a social channel and a plurality of historical publishing contents published by the social channel; extracting a first classification feature for representing a channel category to which the social channel belongs according to the description information of the social channel; extracting a dynamic feature of the social channel according to the plurality of historical publishing contents published in the social channel, the dynamic feature being a feature that changes with the change of the publishing contents in the social channel; and managing the publishing contents of the social channel according to the first classification feature and the dynamic feature of the social channel, so that the content ecological change trend of the social channel can meet the channel operation demand, the management effect of the channel content is effectively improved, and the content exchange atmosphere and professionalism of the social channel are guaranteed.

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 relates to the technical field of medical translation, in particular to a translation method and system for the medical field and a storage medium. Comprising the steps of obtaining a to-be-translated medical text; feature recognition is conducted on the medical text to be translated, and medical text theme keywords are extracted based on a keyword extraction algorithm; based on the subject keywords, matching a contrast translation text which is corrected and perfected in the specified language system in the text database through a retrieval method; extracting statements with professional vocabularies of the medical text to be translated by the pre-training model based on the natural language extraction technology; comparing the professional vocabulary statements extracted by the natural language processing algorithm with the corrected comparison translation text of the specified language system, extracting the same words and sentences, and translating the same words and sentences; according to the scheme, professional words and sentences in the medical field can be accurately translated.

The invention discloses a question-answering method, system and device based on a question-answering model and a storage medium, and is applied to the technical field of artificial intelligence, and the method comprises the steps: obtaining an initial text pool based on a basic data set; k inquiry texts are selected from the text pool; aiming at each selected inquiry text, generating a plurality of related inquiry texts through a question and answer model, and obtaining each reply text generated by the question and answer model; based on a preset text quality screening rule, screening each reply text generated by the question and answer model, and putting the screened reply text and the corresponding inquiry text into a text pool so as to expand the text pool; after the current text pool meets a preset requirement, training a question and answer model based on the text pool; and receiving a user question and inputting the question into the trained question-answer model to obtain reply content output by the question-answer model. When questioning and answering are carried out based on the questioning and answering model, the questioning and answering reliability and professionality can be effectively guaranteed.

The utility model relates to a four-station hydraulic clamp which comprises a bottom plate, a main control unit and four stations located on the upper end face of the bottom plate and arranged at intervals in the front-back direction of the bottom plate, and each station is provided with a hydraulic clamp. The rear end face of the bottom plate horizontally extends leftwards to form an extending part, and a fingerprint identifier is arranged on the lower end face of the extending part. The main control unit is connected with the fingerprint identifier and the hydraulic clamp so that the hydraulic clamp can be controlled to work only after fingerprint identification is correct. Four parts can be machined at the same time, the machining efficiency is greatly improved, the hydraulic clamp is prevented from being operated by non-professionals, the operation authority safety of the hydraulic clamp is effectively improved, and the professionality of the hydraulic clamp is ensured.

The present invention belongs to the technical field of information management in the completion and closing stage, and relates to an information management system for the completion and closing stage based on engineering projects. The present invention increases the transparency and traceability of engineering projects by analyzing the file flow compliance indicators and file content compliance indicators of each type of files corresponding to each file of the target engineering project, which is conducive to timely discovering and correcting non-compliant behaviors in the information management of engineering project files, ensuring the professionalism, accuracy and readability of engineering project files, and improving the compliance and quality of engineering projects. By analyzing the change gap indicators and expected gap indicators of each change file corresponding to each type of file of the target engineering project, it is helpful to timely discover and solve problems in engineering project management, and help project managers to effectively control multiple angles such as cost, project progress, engineering quality and risk management, avoiding unnecessary waste and expenditure, and improving engineering quality.

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.