75results about How to "Efficient query" patented technology

The invention discloses a large model knowledge base construction method based on multi-granularity retrieval. The method comprises the steps of obtaining a target text and analyzing a document structure, splitting and reorganizing text data according to three levels of titles, fragments and sentences, and constructing three levels of knowledge of the titles, the fragments and the sentences; using a large language model to construct a generative index as question-level knowledge according to the sentence-level knowledge; using a vector model to generate a first vector representing index keys of fragment-level knowledge and / or sentence-level knowledge, and a second vector representing index keys of title-level knowledge and / or question-level knowledge; and respectively storing the first vector and the second vector into a vector database, and storing the index values and the index types corresponding to the first vector and the second vector into a relational database. According to the method, multi-granularity document knowledge base construction is achieved, the expression modes of knowledge under different granularities are expanded, the accuracy of user query and knowledge matching is improved, and the problem that information is lost or incomplete in an existing method is solved.

The invention provides an engine pipeline measurement method based on laser scanning, which belongs to a non-contact measurement technology, and comprises the following steps: before measurement, selecting a three-dimensional laser scanner, configuring and calibrating the three-dimensional laser scanner, carrying out a scanning test, adjusting a scanning environment, and then obtaining pipeline point cloud data; the outlier error of the pipeline point cloud data is denoised by using a KD-tree (K-dimension tree), and the outlier error of the pipeline point cloud data is denoised by using the KD-tree (K-dimension tree); de-noising system errors and random errors of the pipeline point cloud data by using a Gaussian filter; segmenting the point cloud data of the pipeline, and identifying and isolating all parts (linear segments, elbows and joints) of the pipeline; performing reverse modeling on the pipeline point cloud data to obtain a digital model of the pipeline; and comparing and analyzing the original point cloud of the pipeline and the pipeline model, and evaluating the error of pipeline measurement. According to the invention, the feature extraction and processing analysis of the pipeline point cloud are realized, the time cost of engine pipeline assembly is reduced, and the wear of the pipeline is reduced.

The invention relates to the technical field of braid quality detection in industrial production, in particular to a defect data processing query method and system for braid visual inspection. The method comprises the steps of obtaining braid image data, performing enhancement processing on an image based on a dynamic illumination compensation algorithm, and generating a high-quality image in combination with material characteristics; inputting the enhanced image data into a deep learning defect detection model, detecting and classifying defect areas in the image, and updating the model weight based on defect feature parameters; performing multi-dimensional indexing processing on the detected defect feature data to generate a defect distribution database supporting real-time query; and the defect distribution database and the production process parameter sequence are combined, the causal relationship of defect occurrence is analyzed, process optimization parameters are generated and fed back to the detection module, and self-adaptive updating of model parameters is completed. According to the invention, high precision, high efficiency and closed-loop optimization of braid defect detection are realized, and intelligent support is provided for industrial production quality control.

The invention relates to the technical field of database establishment, in particular to an establishment method and system based on an aircraft aerodynamic model database. The method comprises the following steps: obtaining an aircraft pneumatic data storage demand and an aircraft pneumatic data query demand, and carrying out multi-level storage architecture design to obtain a basic data layer, a processing data layer and a high-level model data layer; the method comprises the following steps: collecting aircraft original aerodynamic data sets of wind tunnel experiments, flight tests and CFD numerical simulation, and transmitting and storing the aircraft original aerodynamic data sets to a basic data layer; carrying out aerodynamic load, flow field parameter and aerodynamic pressure distribution analysis on the original aerodynamic data set of the aircraft in the basic data layer, and transmitting and storing the aerodynamic load, flow field parameter and aerodynamic pressure distribution to the processing data layer; and carrying out aircraft aerodynamic model construction on the data in the processing data layer, transmitting and storing the data to a high-level model data layer, and carrying out R-tree multi-dimensional index connection to obtain an aircraft aerodynamic model multi-level storage database. According to the invention, an efficient and intelligent aerodynamic model database can be established.

The invention relates to a data mining method, a multi-modal data query method and a vertical domain knowledge question and answer method based on a knowledge graph. The mining method comprises the steps of generating a knowledge graph based on a first artificial intelligence model; inputting initial node information acquired by the knowledge graph into a second artificial intelligence model, wherein the second artificial intelligence model comprises a knowledge graph expansion unit, an abnormal node acquisition unit, a key node acquisition unit and a value mining unit; expanding expanded node information from the initial node information through a knowledge graph expanding unit, and respectively outputting the expanded node information to the abnormal node acquisition unit and the key node acquisition unit; and the abnormal node acquisition unit and the key node acquisition unit respectively output abnormal nodes and key nodes in the knowledge graph to the value mining unit, so that the value mining unit presents related information of the abnormal nodes and the key nodes.

The invention discloses an enterprise supply chain side evaluation method and system based on big data, and provides an innovative solution for the problems of low data processing efficiency, weak analysis and prediction ability, insufficient causal relationship analysis, decision support lag and the like in supply chain management. The method comprises the steps of integrating and processing real-time data, deeply analyzing the data by using an advanced analysis and prediction module in combination with a mathematical model and a machine learning algorithm, deeply understanding a causal relationship in a supply chain through a causal relationship analysis and optimization module, and finally accelerating a decision process through a visualization and decision support module. According to the system, through modular design and an advanced algorithm, the supply chain management efficiency and scientificity are remarkably improved, and comprehensive evaluation and optimization of the supply chain are achieved. The invention aims to solve the problem of improving the efficiency, accuracy and scientificity of enterprise supply chain management under the background of big data so as to adapt to rapidly changing market demands and a complex supply chain network.

The invention relates to the field of big data processing, and particularly discloses a message pushing processing method and device, computer equipment, a computer readable storage medium and a computer program product. The method comprises the following steps: if a push message type of a to-be-executed message push task exists at current time, taking the current time as query ending time; for each message pushing task, if a historical task execution record of a pushing message type of the message pushing task is queried, determining the last execution end time and the message processing duration of the last execution process from the historical task execution record; determining query start time based on the last execution end time and the message processing duration to construct a message query interval which is continuous and not overlapped with a historical query interval of a last push task in the historical task execution record; and querying according to the message query interval to obtain message content and pushing the message content. By adopting the method, decoupling of the service interface and the message processing interface can be realized, and complete message content can be efficiently pushed.

The invention discloses a text search result sorting method and device, electronic equipment, a storage medium and a program product, and relates to the technical field of data retrieval, and the text search result sorting method comprises the steps that when a search statement is received, pre-configured intervention parameters are read; according to the search statement and the pre-configured intervention parameters, determining a plurality of search results corresponding to the search statement, and a full matching value, a partial matching value and a release time characteristic value corresponding to each search result; according to the title of each search result and the content of the main body, determining the matching condition of each search result and the search statement; sorting the search results according to the matching conditions of the search results, the full matching values, the partial matching values and the release time characteristic values corresponding to the search results, and obtaining and returning the sorted search results. According to the technical scheme, the problem that search results of an existing text search scheme are poorer in sorting reasonability is solved.

The invention provides a rock mechanics large model construction and knowledge interaction method, and relates to the technical field of rock mechanics. The method comprises the following steps: firstly, collecting and carding data in the field of rock mechanics to obtain a data document, and storing the data document into a vector database after partitioning and vectorizing the data document; knowledge is extracted from the vectorized document fragments, a knowledge tetrad is generated, and a knowledge graph is constructed; then, based on the vector database and the knowledge graph, an external knowledge base is constructed, an existing general large language model is finely adjusted through a prompt project, and a large model in the field of rock mechanics is constructed; and finally, applying the constructed large model in the field of rock mechanics to a knowledge interaction system in the field of rock mechanics, and providing accurate answers and professional knowledge support by classifying and processing different types of questions and utilizing an external knowledge base. The method solves the problems that a general large model is poor in performance when answering professional knowledge of rock mechanics, and resource consumption is large when a rock mechanics large model is pre-trained from the beginning.

The invention discloses a multi-dimensional query analysis method and system based on coal mine production operation data integration, and relates to the technical field of data query analysis, and the method comprises the steps: collecting and preprocessing coal mine production data of different data sources, fusing the preprocessed data, and generating a coal mine data set; obtaining a distinguishing feature vector and a target variable of each type of data in the coal mine data set, and carrying out modeling according to the relevance of the distinguishing feature vector and the target variable to obtain a data query model; obtaining a business data demand of a user, determining a data attribute dimension according to the business data demand by using the data query model, and determining to-be-queried data based on the data attribute dimension; and extracting to-be-queried data from the coal mine data set, and analyzing a service decision and an optimization process according to a data change trend and a service development state. According to the method, the multi-source coal mine production data are integrated, the intelligent query model is established, efficient multi-dimensional data analysis is realized, and the data sharing and query efficiency is improved.

This invention relates to the field of model simulation calculation, and particularly to a real-time rendering system for 3D simulation analysis results of dams. The system server, through a simulation model management module, transmits a 3D finite element mesh model, obtains calculation conditions from the system client, performs simulation based on these conditions, outputs calculation results, and transmits the calculation result data to the system client after processing it using an 8-bit compression method. A three-level indexing system is constructed. The calculation result management module manages the calculation results. The system client renders a multi-dimensional physical field cloud map. During precise queries, the system server returns lossless calculation results to the system client based on the three-level indexing system. This invention leverages the long-connection characteristics of WebSocket to achieve on-demand incremental transmission of fragmented data, resolving network congestion caused by full transmission. Through the synergy of data compression and progressive rendering, network utilization is optimized while ensuring the real-time performance and stability of the front-end visualization effects.

The technical problem to be solved by the invention is to overcome the defects in the prior art and provide the injection molding machine group networking management and production data processing method, so that the operation condition and parameter setting of the injection molding machine group can be efficiently and conveniently inquired in real time; according to the injection molding machine production data acquisition monitoring system and the production data processing method thereof, the operation problem of the injection molding machine and the operation parameter setting problem are found in time through production parameter big data algorithm processing, the labor and time cost is reduced, the product batch quality problem is avoided, and the enterprise production efficiency and the management efficiency are improved.

The invention discloses a blast furnace incoming iron management data processing system and method. Comprising a data display module, a query module, an export module and a data operation module. The data display module is provided with a converter molten steel receiving display unit, a molten steel receiving team statistical display unit, a blast furnace incoming iron scrap display unit and a blast furnace incoming iron team statistical display unit; and the converter molten steel receiving and displaying unit is used for displaying detailed data received by the converter, wherein the detailed data comprises converter heat, blast furnace heat, time, ladle number, molten iron components and operation information. According to the invention, by integrating blast furnace incoming iron related data and intensively displaying various types of data on different pages, unified management of the data is realized. Meanwhile, convenient data entry, modification and deletion operation and efficient query and export functions are achieved, the time and labor cost of data management are greatly saved, and the data management efficiency is improved.

The invention relates to an electronic certificate relation storage and query method. The method comprises the following steps: collecting an existing electronic certificate relation log of each service; according to the electronic certificate relationship of each service, allocating a link tracking ID and a hierarchy counting ID to each electronic certificate of each service to form an electronic certificate relationship storage structure; designing a query interface based on the electronic certificate relation storage structure of each service; calling the query interface in an actual business scene, and querying the electronic certificate through the interface; the storage method of the complex electronic certificate relationship can be realized, and efficient query is guaranteed to meet business requirements.

The present application provides a database-based big data query method and related devices. The method at least includes: in response to a user's data query request for a target object, a preliminary search of the target object in the display layer is performed to obtain the first index information of the target object; a first granularity index structure of the first index information is pre-established with a granularity level of at least the form level; based on the first index information, a deep query is performed on the target object in the index layer to obtain the second index information corresponding to the target object; a second granularity index structure of the second index information is pre-established with a granularity level of at least the variable level; the variable data associated with the second index information is queried, and the queried variable data is aggregated and processed as the target query result fed back to the user. Through a double-layer index structure and independent variable query, the data query efficiency is optimized and the applicable scenarios of the database are expanded.

The invention discloses a log data query method and system and a terminal, and the method comprises the steps: obtaining log information, and filtering the log information to obtain log data; storing the log data in a preset storage space according to a preset storage rule; and in response to a log query request initiated by a user, querying the plurality of log data in the storage space according to the log query request to obtain a query result. By obtaining the log information, filtering the log information, storing the log information in the preset space, responding to the query request, retrieving the log data in the storage space and returning the query result to the user, the efficient query of the embedded system is realized, the log data query efficiency is greatly improved, and quick and accurate log information is provided for the user.

The embodiment of the invention provides a multi-network integration Internet of Things card fee query method, system and device and a storage medium, and belongs to the technical field of computers. According to the method, a first cost query request of a multi-network integration Internet of Things card is obtained, the first cost query request is converted into a second cost query request of a target network operator through an API pipeline model, and then a cost query service system of a corresponding network operator is accessed according to the second cost query request of each target network operator. And obtaining a cost query result of the multi-network integration Internet of Things card. According to the method, the external interface is unified by using the API pipeline model, and after the first cost query request of the user is received, the first cost query request is converted into the second cost query request conforming to the cost query service system interface of the network operator, so that efficient query of the multi-network integration Internet of Things card cost is realized, and the user experience is improved. And the charging convenience of the multi-network integration Internet of Things card is improved.

The invention discloses a mixed data calling method and device oriented to the field of electromagnetic scattering, and belongs to the field of data storage. The method comprises the following steps: classifying acquired data of an acquired moving target; the classification result is subjected to indexing and query optimization and then stored in a composite database; and calling all data associated with the to-be-queried target in the compound database according to the query instruction of the uniform interface. According to the invention, efficient storage, query and management of electromagnetic scattering data can be realized, and the processing capability of complex data is improved.

This application provides a method and system for processing spacecraft manufacturing process data. The method includes: constructing a query data index; performing hierarchical desensitization processing on spacecraft process-sensitive data according to multi-level desensitization rules; using the query data index as an anchor point, determining the model identifier, process parameters, component number, material batch, and multimodal identifier associated with the same process, and establishing a mapping table between the desensitized data and the spacecraft process-sensitive data; and performing a query on the current client's process query interface based on the input query data index to return the matching process manufacturing data to the process query interface. This application enables more efficient querying of process manufacturing data, hierarchical desensitization processing of spacecraft process-sensitive data, and obtains more secure and reliable desensitized data and data transmission.

The invention provides a method, a system, equipment and a medium for searching enterprise investment attracting data in a self-defined space range, and belongs to the technical field of investment attracting maps, the method comprises the following steps: obtaining enterprise information data in an investment attracting area to establish an enterprise library, and storing the enterprise library in a distributed search and analysis engine, the enterprise information data comprises enterprise latitude and longitude information; obtaining a selected space range in combination with the investment attraction map and the search mode selected by the user; according to a search mode selected by a user, a corresponding query module is used for performing enterprise query in a selected spatial range in a distributed search and analysis engine on the basis of enterprise latitude and longitude information; and introducing an auxiliary query condition to screen queried enterprises, and displaying investment attracting data in the screened enterprise information data. According to the method, an investment attraction map and a user-defined search mode are combined, the enterprise data in a specific area can be efficiently and accurately obtained, the query efficiency is improved, and the query flexibility is improved.

The present invention relates to the field of site selection optimization technology, and in particular to a site selection optimization method, system, device and medium for tourist attractions, including: obtaining candidate site selection information of rural tourist attractions, and using a geographic information system to perform spatial analysis on the candidate site selection information to obtain the geographical environment characteristics of the candidate points; constructing a Thiessen polygon optimization grid according to the geographical environment characteristics of the candidate points, and using a quadtree to divide the Thiessen polygon optimization grid to obtain site selection sub-areas; expressing the geographical environment characteristics of the candidate points in each site selection sub-area as a spatial entity to construct a graph structure; using a graph attention neural network algorithm to learn the graph structure to predict the optimal spatial coordinates of the site selection of the tourist attraction. The present invention realizes a method for optimizing the site selection of the tourist attraction by combining the characteristics of the quadtree and the graph structure, and can more accurately analyze the spatial connections such as cultural resources between the site selection of the tourist attraction, and provide more accurate and effective support for the planning and management of tourist attractions.

The invention discloses a geographic element gridding representation method suitable for a ship traffic management system, which combines the characteristics of the ship traffic management system to carry out fine grid division on an overwater area, converts geographic elements into information taking geographic grids as basic units through high-performance operation, and adopts a double-layer grid compression storage strategy to store the geographic elements. Therefore, the system can realize real-time high-speed access and processing of geographic information under low resource consumption. According to the method, a double-layer grid compression storage strategy is adopted for the geographic elements, real-time high-performance calling and querying of the geographic elements under the condition of low resource consumption of the VTS system are achieved, and the method has the advantages of being low in resource consumption, high in real-time performance, high in flexibility and the like.

The invention discloses a bidding industry machine account information automatic query and analysis method and system, and relates to the technical field of information query and analysis, and the method comprises the steps: collecting machine account information containing a target competitor and various certificate information, and carrying out the preprocessing; converting key field data in the machine account information and text data in the certificate information into low-dimensional dense vectors by utilizing an Embedding model, storing the low-dimensional dense vectors into Milvus, establishing indexes on vector fields, and meanwhile, storing text contents in the machine account information and the certificate information into Elasticsearch; constructing a training set based on machine account information and certificate information, and training a JointBERT model; text content needing to be inquired is input into the JointBERT model, firstly, intention recognition is conducted on the input text through the JointBERT model, then corresponding search and analysis processes are executed according to the recognition result, and finally a detailed analysis report is generated. According to the invention, efficient and accurate management and query of machine account information and certificate information can be realized.

The invention relates to the technical field of finance, in particular to dynamic pre-loan repayment trial calculation software and an implementation method thereof, and the dynamic pre-loan repayment trial calculation software comprises a user interface module, a data storage module, a calculation engine module and a result display module. And the user interface module allows the user to input parameters such as loan amount, repayment time limit and interest rate, and selects a repayment mode. The data storage module maintains a database and stores basic information and repayment rules of loan products, including a user table, a loan product table and a trial record table. And the calculation engine module selects a proper repayment formula (such as equal-amount essential information or equal-amount principal) for calculation according to loan parameters input by the user, and generates a detailed repayment plan. The result display module visually displays the calculation result in the form of a table or a chart, and provides detailed information of monthly repayment. According to the invention, the user can conveniently and quickly carry out loan repayment trial calculation, understand a detailed repayment plan and make a more intelligent loan decision.

The embodiment of the present application provides a transaction processing method and a computer system. Among them, when the first transaction is started, the storage space corresponding to the first transaction is requested from the persistent storage medium; the storage address of the storage space is recorded for at least one data object updated by the first transaction; when the first transaction is committed, the transaction commit identifier of the first transaction is generated; the transaction commit identifier is stored in the storage space; for the second transaction that performs data query, a view of the second transaction is constructed based on the most recently generated transaction commit identifier; according to the transaction commit identifier in the view and the transaction commit identifier indexed by the storage address recorded by different versions in the version chain of the target data object, the visible version of the second transaction is searched from the version chain; the embodiment of the present application improves transaction processing performance.

The invention discloses a power grid fault plan knowledge extraction method and system based on a large model. The method comprises the following steps: extracting key knowledge from a power grid dispatching procedure, and converting the key knowledge into a structured object; classifying structured objects of regulation into different fault scenes according to accident types, designing a prompt template for each fault scene, converting accident names into vectors by using a pre-training model, and storing the vectors in a vector database; performing content analysis on the fault plan to determine information needing to be extracted and identify a compilation and a unit; analyzing the fault plan document to extract key attributes, reading plan contents according to segments, associating table information with document contexts, and performing plan content objectification according to a document analysis result; and triple knowledge in the plan is extracted by using a large model, and the knowledge is stored in a graph database after rule checking of a business expert. Knowledge extraction is carried out by means of a large model, a corpus is not needed, and generalization is high.

The invention discloses a knowledge graph-based algorithm model operation driving engine construction method, which comprises the following steps of: respectively configuring a data source, an algorithm and a model to form a data source library, an algorithm library and a model library, selecting the required data source, algorithm and model from the libraries, and arranging according to a model operation rule to obtain an algorithm model operation rule graph. And analyzing the algorithm model operation rule map into triple text data, converting the triple text data into formalized language text, verifying by using multi-model interaction behaviors, and returning error prompt information through an interaction interface if the rule is unqualified. And if the rule text is qualified, inputting the rule text into a task engine generator, and generating an algorithm model driving engine by the generator according to the rule text. According to the method, the problems of difficulty in arrangement of algorithm and model operation modes, tedious management of operation rules, low execution efficiency and the like in a manufacturing environment are solved, so that the production efficiency and the product quality are improved.

The application discloses a permission data query method and device, a storage medium and an electronic device, and relates to the technical field of smart homes. The method comprises the following steps: determining a target identifier corresponding to a target object using a permission management system; determining one or more role identifiers from a pre-defined first relationship set based on the target identifier, and determining one or more resource identifiers from a pre-defined second relationship set and the pre-defined first relationship set based on the target identifier; in the case that it is determined that a management object has entered a query condition in the permission management system, inputting the role identifier, the resource identifier and the query condition into a pre-configured permission model in the permission management system to obtain a permission rule of the target object, and analyzing the permission rule to determine a query result of permission data corresponding to the target object, thereby solving the problem of querying permission data in addition to authorization requests.