104 results about "Technical information" patented technology

The invention discloses a method, a system, equipment and a medium for constructing an integrated digital model of a full-motion analog machine, and belongs to the field of analog machines. The method is suitable for constructing the digital model based on the unstructured heterogeneous data, and obtains the structured text information set from the document through the named entity recognition and relation extraction technology by obtaining the three-dimensional geometric model and the unstructured technical document of the full-motion simulator. And a three-dimensional model is combined to jointly construct a heterogeneous knowledge graph containing two types of nodes representing technical entities and three-dimensional parts. And link prediction is performed on the graph by using a graph neural network, so that a target edge representing deep implicit association between the text information and the three-dimensional part can be inferred. The target edges are updated to the atlas, and all complete technical information associated with the parts is bound to the corresponding three-dimensional geometric model, so that an all-moving simulator integrated digital model with complete information is generated, and the digital model construction efficiency and the model information association degree can be improved.

The invention discloses a diagnosis scheme generation method and system based on multi-scale hypergraph and constraint optimization, and belongs to the technical field of industrial equipment health management. The method comprises the following steps: receiving fault diagnosis query information expressed by a natural language, and carrying out semantic analysis on the fault diagnosis query information to form semantic guide information; task nodes are extracted from the technical information set, and a multi-scale nested subgraph is constructed according to the relation between the task nodes; based on the multi-scale nested subgraph, dynamically reconstructing a task path, representing task nodes as hypergraph nodes, and constructing a multi-scale hypergraph; performing structure sensing regularization processing on the multi-scale hypergraph to obtain the multi-scale hypergraph; performing cross-scale attention processing on the multi-scale hypergraph to obtain a multi-scale fusion hypergraph; and generating fault diagnosis paths based on the multi-scale fusion hypergraph, sorting the fault diagnosis paths, and outputting a diagnosis scheme. According to the invention, the intelligent level and decision-making efficiency of complex system fault diagnosis can be significantly improved.

The invention relates to the field of textile materials, and discloses a textile material knowledge system construction method and device, equipment and a medium. According to the textile material knowledge system constructed by the method, related technical data of textile materials are stored in a centralized manner, and related knowledge of the textile materials is stored in forms of structured knowledge representation, knowledge entity association and the like, so that knowledge retrieval in the textile material knowledge system can be effectively supported and realized; according to the technical scheme, rapid retrieval of the related technical data of the textile materials is provided for technicians, the retrieval difficulty of the technicians on the related technical data of the textile materials is reduced, manpower and material resources and retrieval time which need to be spent are reduced, and the retrieval efficiency of the related technical data of the textile materials is effectively improved.

Effective Retrieval-Augmented Generation (RAG) pipelines face significant challenges when processing domain-specific technical documents that have diverse content types like text, figures, equations, and tables. To address this challenge, a context-oriented RAG system can be implemented for various domain-specific applications. The RAG system can include a lightweight, two-stage architecture to facilitate contextual understanding: a content analysis and enrichment pipeline for structured metadata extraction and a query processing pipeline for context-aware retrieval. In some cases, tabular data is processed using a dual-stream approach: semantically via text and visually via screenshots. The embedding vectors and the metadata can be stored in a visual data management system. The RAG system, utilizing the visual data management system, can answer questions and precisely retrieve technical information in a way that can preserve structural relationships and semantic connections across different modalities.

The invention provides a leading-edge technology maturity level interval discriminant analysis method and device, and the method comprises the steps: obtaining a technology text which is pre-collected for a to-be-judged technology, and constructing an original data set; preprocessing the original data set to obtain an updated data set; inputting each piece of data in the updated data set into a preset data extraction model, wherein the data extraction model extracts triple data consisting of a technical direction, a technical dynamic state and a technical index in each piece of data in the updated data set; determining a transition level of the to-be-judged technology based on matching of a preset transition keyword library and the updated data set; technical information including the triple data and the transition level is supplemented into a preset structured JSON cue word template, the filled structured JSON cue word template is input into a preset large language model, and the large language model outputs a maturity judgment level.

A first application generates a first user interface to display a pricing quote to a user. The first application is configured to detect a request by the user for an enhanced view of the pricing quote. In response to detecting such a request, the first application retrieves first data from a second application and second data from a pricing and configuration service. Also, the first application populates a temporary database with the first data and the second data. Additionally, the first application performs data enrichment of the first data and the second data to create third data by translating technical information of the first data and the second data into a user-friendly notation. Finally, the first application generates a second user interface to display, to the user, the third data associated with the pricing quote.

A system for identification of duplicate records, relating to identical or equivalent materials, in a master file of industrial materials, which comprises a master file memory unit configured to store the master file of industrial materials comprising a plurality of records;and further comprising:a categorization module configured to associate the text description of the industrial material comprised in each master file record with a respective category selected from categories which are defined in a standard taxonomy and represent respective types of industrial material;a search module configured to discover and extract at least one item of technical information about the industrial material from a text description comprised in each master file record; andan analytical memory unit configured to store the standard taxonomy, and a plurality of technical information patterns grouped according to the plurality of categories of the standard taxonomy.

The application discloses a self-adaptive text classification method in the field of scientific information, which comprises the following steps: training a classifier and establishing an original clustering forest; selecting a suitable classifier and establishing an optimal clustering forest, wherein the classifier is a clustering tree algorithm; and testing the latest sample to obtain an integrated final result. The application can improve the classification effect and generalization ability of the text classification in the field of scientific information, thereby improving the accuracy of the text classification model and the accuracy of the text classification.

A data processing device includes: a processor, in which the processor is configured to collect input information from a specific user, the input information being related to a specific technology, specify, by using a generation model, a knowledge level of the specific user for the specific technology based on the collected input information from the specific user, generate, when information related to the specific technology is requested from the specific user, technical information for the specific user based on the requested information related to the specific technology and the knowledge level of the specific user for the specific technology by using the generation model, and output the technical information for the specific user to the specific user.

Support new business proposals originating from business proposers. [Solution] The support system is a system that supports proposers who propose businesses within an organization, and has one or more processors. The processors accept input information regarding the things the proposers wish to handle, and use a generation AI to generate proposal information for new businesses based on problem information that is a social issue and technical information held by the organization, and output the generated proposal information.

The invention discloses an asynchronous parallel product design method and device, and the method comprises the steps: obtaining a technical demand list which comprises the technical information needed by a product; based on the technical information in the technical demand list, generating a development task related to the technical information; generating technical achievements after task development is completed, and storing the generated technical achievements in a technical achievement library; in the product process design process, the technical achievement library is matched, and the successfully matched technical achievements are applied to the product process design process, so that the product process development period is shortened, and the technical problem of long product development period in the prior art is solved.

The invention discloses an interaction information processing method, electronic equipment, a storage medium and a dialogue system, and relates to the field of large model technology and information processing. The method comprises the following steps: acquiring input information to be replied; configuration information associated with the input information is obtained, the configuration information is used for describing an initial information generation rule which needs to be met in the process that the information processing model generates reply information corresponding to the input information, and the initial information generation rule is used for guiding the information processing model to generate the reply information corresponding to the input information in the process that the reply information is generated; determining a target information generation rule which needs to be met; based on the configuration information and pre-acquired parameter information associated with the input information, generating prompt information of the information processing model, the parameter information being used for defining key content in the reply information; and generating reply information including the key content by using the prompt information. The technical problem of low processing efficiency of the interaction information is solved.

The present invention discloses a method for arranging and generating information data analysis reports based on a large model, which relates to the field of technical information retrieval, and comprises the following steps: establishing a comprehensive sample database of online news; performing semantic recognition and screening of the comprehensive sample of online news to obtain topic information parameters of the comprehensive sample of online news; performing scene vector analysis on the topic information parameters to obtain the subject scene vector of the comprehensive sample of online news; determining hot search topic information parameters, analyzing the keyword change trend in the hot search topic information parameters, and evaluating the public opinion trend vector of the hot search subject scene; evaluating the preference index between the comprehensive sample of online news and the hot search topic; and generating a comprehensive report of online news corresponding to the preference index between the comprehensive sample of online news and the hot search topic. The advantages of the present invention are: improving the manuscript production efficiency of news editors and improving the quality of news content.

The "Diana" invention is a vehicle repair assistance system using artificial intelligence (AI) and augmented reality (AR). It connects to external diagnostic devices to retrieve vehicle data (error codes, sensor data, etc.), whether for internal combustion, electric, or hybrid engines, and analyzes it in real time using the AI ​​module. The dynamic, regularly updated database provides technical information, diagrams, and repair procedures. The system delivers repair instructions and diagnostic results via multilingual voice or text commands; it can also be used with augmented reality glasses for interactive assistance and integrates a vehicle management system to allow workshops to track repairs.

The invention discloses an interaction information processing method and system, electronic equipment and a storage medium, and relates to the field of large model technology and information processing. The method comprises the following steps: acquiring input information to be replied; calling an information processing model to reply the input information to obtain initial reply information; feedback information corresponding to the initial reply information is acquired; the feedback information is utilized, at least a first sub-model in the information processing model is controlled to analyze the initial reply information, target reply information is obtained, the target reply information comprises an answer matched with the input information, and the correlation degree between the first sub-model and a feedback information sample is larger than a correlation degree threshold value; the feedback information sample is used for representing a feedback result for feeding back the initial reply information sample, and the feedback information sample and the initial reply information sample are used for training the initial sub-model into the first sub-model. The technical problem that the credibility of the model is low is solved.

The invention relates to the technical field of civil construction of large-scale thickening equipment, and discloses a high-precision lofting and positioning construction control method and system for a large-scale thickener, and the method comprises the following steps: constructing a building information model of a thickener pool body, and associating related technical information of corresponding components; based on the building information model, setting-out point data are generated through parametric programming, and then a formwork system deepening design scheme and a pouring planning scheme are generated; on-site construction management and control are carried out in combination with the visualization technology, and after construction is completed, high-precision acceptance check is achieved through comparison of measured data and the building information model. Through deep fusion of BIM and parameterized programming, a full-process closed-loop construction control system is constructed, the core technical problem of ultra-large thickener construction is solved, and multiple breakthroughs are achieved in the aspects of construction precision, quality reliability, operation efficiency, cost control, industry technology upgrading and the like.

A technical information classification system (1) comprises an acquisition unit that acquires technical information in which technical matters are included, a classification unit that classifies the technical information in accordance with a classification criterion, and a display device. The classification unit includes: a language processing model (430); and a retrieval-augmented generation (RAG) data storage unit (420) in which a data source for causing the language processing model to execute language processing on the basis of RAG is stored. The RAG data storage unit (420) includes a classification criterion data storage unit (422) in which a data source relating to the classification criterion is stored in a format conforming to the RAG. The data source relating to the classification criterion includes a plurality of pieces of classification information established according to the classification criterion. The classification unit determines classification information corresponding to the technical information using the language processing model (430) and the data source relating to the classification criterion, and displays the classification information on the display device in the manner in which the technical information and the classification information are associated with one another.

The invention relates to a method for operating a laboratory mill, comprising the steps of: determining (V1) a vibration behaviour of the laboratory mill during a grinding operation, testing (V3) whether the determined vibration behaviour has a critical vibration state for the grinding operation, defining (V4) a technical intervention in the operation of the laboratory mill based on a test result resulting from the testing step, outputting (V5) a signal via a user interface to a user of the laboratory mill, the signal having technical information which communicates to the user that the defined technical intervention in the operation of the laboratory mill is required.

We provide the system. [Solution] Means for collecting technical information, Means of collecting technical information, A means for providing a generative model that learns based on the aforementioned collected technical information, A means for summarizing the information learned by the aforementioned generative model and generating it as related information, The means for processing the generated information based on user queries received through speech recognition, Means for presenting the processed information visually or audibly, A system that includes this.

An information analysis apparatus includes: a technical information extracting unit that extracts, from a database storing technical information regarding cyberattacks, technical information related to damage information regarding a cyberattack included in a news article, based on a time of occurrence of damage from a cyberattack; a similarity calculating unit that calculates a similarity between the damage information and the extracted technical information; and an information supplementing unit that specifies technical information corresponding to the damage information based on the calculated similarity, and supplements the news article that includes the damage information with the specified technical information.

This invention relates to the field of e-commerce operation platform system technology, and discloses a multi-party collaborative clothing customization operation platform system applied in a virtual reality environment. This system addresses the problem of technical information interference with the business experience and subsequent process interruptions during real-time multi-party collaboration. It includes: a customer journey state machine for determining the customer's business state in the e-commerce purchase process; a role and permission management module for identifying roles such as customers, designers, and manufacturers within the virtual reality space; and a business interaction abstraction engine. This engine intercepts technical constraint interaction events issued by the manufacturer regarding the virtual product representation and performs asymmetric information routing based on the customer's business state: when the customer is in a creative conception state, constraint information is temporarily stored and filtered; when the customer enters a business lock-in state, the constraint information is processed and translated into pure business information presented to the customer.

The present application discloses a method, system, device and medium for constructing an integrated digital model of a full-motion simulator, which belongs to the field of simulators. The present application is applicable to constructing digital models based on unstructured heterogeneous data, by obtaining the three-dimensional geometric model and unstructured technical documents of the full-motion simulator, obtaining a structured text information set from the document through named entity recognition and relationship extraction technology, and jointly constructing a heterogeneous knowledge graph containing two types of nodes representing technical entities and three-dimensional parts in combination with the three-dimensional model. The graph neural network is used to perform link prediction on the graph to infer the target edges representing the deep implicit association between the text information and the three-dimensional parts. These target edges are updated to the graph, and all the complete technical information associated with the parts is bound to the corresponding three-dimensional geometric model to generate an information-complete integrated digital model of the full-motion simulator, which can improve the efficiency of digital model construction and the correlation of model information.

A diagnosis scheme generation method and system based on multi-scale hypergraph and constraint optimization belong to the technical field of industrial equipment health management. The method comprises the following steps: receiving fault diagnosis query information expressed in natural language, performing semantic analysis on the fault diagnosis query information to form semantic guidance information; extracting task nodes from a technical information set and constructing multi-scale nested subgraphs according to the relationships between the task nodes; based on the multi-scale nested subgraphs, dynamically reconstructing a task path, representing the task nodes as hypergraph nodes, and constructing a multi-scale hypergraph; performing structure perception regularization processing on the multi-scale hypergraph to obtain a multi-scale hypergraph; performing cross-scale attention processing on the multi-scale hypergraph to obtain a multi-scale fusion hypergraph; generating a fault diagnosis path based on the multi-scale fusion hypergraph, sorting the fault diagnosis path, and outputting a diagnosis scheme. The present application can significantly improve the intelligent level and decision efficiency of complex system fault diagnosis.

The invention relates to the technical field of artificial intelligence of water conservancy and hydropower engineering, in particular to a thinking chain-based gravity dam design space feature extraction and data set creation method, which is used for collecting and integrating safety and evaluation data of a gravity dam and integrating an efficient and visual technical information platform to carry out design space exploration of a feature fusion algorithm. And the gravity dam is generated to improve the design performance and efficiency. In order to effectively utilize historical design experience, reduce data dimensionality and reduce data training amount, a design data set for thinking chain guidance is added in a data set, and design semantics in gravity dam design is converted into structured data representation by simulating a thinking chain process of a human designer. A data set capable of reflecting design decision logic and function-scheme relevance is constructed, and the requirement of subsequent generative design training can be met.

The server extracts a characteristic part of the disclosure described in the independent claim in the patent document. The server acquires the investigation result output from the generative model by inputting, to the generative model, an instruction text for instructing an investigation of the relevance between the characteristic part and the technical information. The server outputs the investigation result.

The invention relates to a retrieval method and device, computer equipment and a storage medium, and belongs to the technical field of data analysis, and the method comprises the steps of obtaining to-be-retrieved content based on a displayed first target window; in response to a received triggering instruction of the retrieval operation, analyzing the to-be-retrieved content according to the analysis step, and displaying information which comprises an analysis step label and is generated by an analysis result corresponding to the analysis step label in other target windows; wherein the analysis step labels comprise at least one of the following items: technical information arrangement and extraction, retrieval element recommendation and retrieval formula construction, and the analysis step labels and the analysis steps are in one-to-one correspondence. According to the method and the device, the analysis results corresponding to the analysis steps are displayed on the basis of the multiple analysis steps, the to-be-retrieved content is automatically and intelligently analyzed, the analysis results are displayed, the retrieval efficiency can be improved, the accuracy and comprehensiveness of the retrieval results can be improved, the analysis results are visually displayed to the user, and the user experience is improved.

The invention comprises a centralized cooling system for motorized vehicle's brakes, wheels, tires, and bearings, controlled by a Central ECU Module. The system uses one or more fans, preferably brushless, intelligently managed by the Central ECU Module, fixed to the chassis or unibody of the vehicle and connected to forced air outlet ducts, so that the air is channeled directly to the wheel hubs of the vehicle's axles. The system uses, individually or together, through the collection and processing of data by the Central ECU Module, several technical information collected by the vehicle's peripherals, so that it manages the use of the brake cooling system fans intelligently, in relation to the potency applied, the duration the fan is on when the vehicle is turned on and the duration the fan is on when the vehicle is turned off.

The application relates to the technical field of artificial intelligence for water conservancy and hydropower engineering, in particular to a gravity dam design space feature extraction and data set creation method based on a thinking chain, which collects and integrates safety and evaluation data of the gravity dam, integrates an efficient visual technology information platform to design a feature fusion algorithm design space, and generates the performance and efficiency of the gravity dam design. In order to effectively utilize historical design experience, reduce data dimension and reduce data training amount, design data sets for thinking chain guidance are added in the data set, the design semantics in the gravity dam design are converted into structured data representation through simulation of the thinking chain process of human designers, a data set capable of reflecting the design decision logic and function-scheme correlation is constructed, and the data set can support subsequent generative design training needs.

The invention discloses a customized locomotive intelligent translation system based on a Transformer model, which belongs to the technical field of locomotive machine translation systems, and includes an input module, a translation body, and an output module. The translation body is also connected to a locomotive customized translation vocabulary library, and the locomotive customized translation vocabulary library includes a vocabulary input module, a locomotive relevance evaluation module, and a sorting module. The invention can filter out words with poor relevance between the meaning of words and the daily meaning in locomotive data from a web page environment, construct a locomotive translation vocabulary library, and combine a self-attention network to perform customized translation of words with poor relevance between the meaning of words and the daily meaning in locomotive data, thereby improving the accuracy and professionalism of locomotive translation, and solving the problem that the poor accuracy of locomotive professional word translation in existing locomotive translation leads to insufficient understanding of locomotive-related technical information by locomotive personnel.

The invention provides a system and method for automatically associating automobile product data and performance parameters in batches, and belongs to the field of automobile research, development and manufacturing, the system comprises a data standardization module, a database module and a technical parameter association module, and the method comprises the following steps: filling technical parameters according to a standardization template; analyzing and classifying the parameters through an automatic tool to form a database; and a matched diagnosis interface is used, so that the product data processing software calls the parameter information, associates the technical information with the product data, and reads the state from a product interface in real time. According to the method, a standardized template and standardized technical parameter information can be formed; the standardized information is subjected to database structure management, data information is stored in order, interfaces of product data and technical information are provided, automobile technical files, automobile products and automobile product data are linked in three islands to form twin data, and a basis is provided for data twin.