60 results about "Database design" patented technology

A platform for dynamically generating application experiences. The platform comprises a design management system, an agent orchestration system, an analytics system, a model management system, a user management system, and databases for storing design elements and templates. The design management system provides a portal for application owners / designers to create UX / UI designs, allowing them to select design elements from a set of categories or templates. The platform gathers existing websites / applications to identify common design patterns, stored in a design catalogue database, and suggests historical interfaces for design exploration. It enables the generation of templated applications that integrate with legacy systems. The agent orchestration system parses user specifications, selects generative AI systems, and generates UX / UI content based on the specifications. The analytics system collects and analyzes data to provide insights for improving UX / UI design and optimizing website performance. The model management system trains and maintains generative AI models used for content generation.

The invention discloses a machine learning driven vehicle frame lightweight design method, which comprises the following steps: (1) performing vehicle frame parametric modeling in CATIA, constructing a vehicle frame modal analysis model and a stiffness analysis model in ABAQUS, and deducing a mathematical model of vehicle frame lightweight design; (2) performing Latin hypercube sampling and discrete Gaussian sampling on continuous and discrete parameters to generate a frame population, and establishing a database; (3) designing a variable type driven hybrid variation mechanism to obtain a candidate frame population; (4) constructing a radial basis function machine learning model, and deducing a comprehensive minimum statistical lower limit function to screen an optimal candidate frame; and (5) performing parametric modeling and simulation analysis on the optimal candidate frame, updating the frame population and the database, returning to the step (3) until the optimal frame meets the design requirement, and outputting the optimal frame. According to the method, adaptive variation strategies and screening functions are designed according to the vehicle frame parameter characteristics, and the vehicle frame lightweight design effect is good.

The invention provides a geological map three-dimensional visualization method and system based on a database technology, and belongs to the field of geological map visualization. The method focuses on geological map resources, deeply fuses spatial information and attribute information of the geological map, designs a geological map three-dimensional coordinate system based on geological age strata, designs a geological map three-dimensional space data and attribute data storage structure, and provides a relatively effective solution for multi-modal geological resource association. The geological map resources and associated data thereof are systematically stored and managed through a database, the geological map resources are standardized and efficiently integrated, and the innovative purpose of effectively supporting true three-dimensional visualization expression and analysis of geological elements is achieved by relying on a three-dimensional visualization platform. The geological map three-dimensional visualization method based on the database technology comprises the following steps: step (1), data and association thereof; step (2), data processing; step (3), database design; step (4), application; multi-modal geological data is stored based on a database, and a geological map three-dimensional visualization platform is built in combination with a three-dimensional visualization engine.

The invention discloses an amphibious aircraft alarm database design method, an alarm system and an alarm method. Determining the alarm demand of each alarm demand side based on scenarized demand capture and confirmation; converting each alarm demand into an alarm entry with an alarm attribute, wherein each alarm entry is in a decoupling state; and finally, constructing an alarm database through the alarm entries. According to the invention, the alarm demand conversion efficiency and the alarm realization accuracy of the airplane can be improved.

The invention discloses a transformer substation-oriented multi-source heterogeneous data checking method and system. The method comprises the following steps of obtaining various types of data sources, executing a preliminary data cleaning process and outputting standardized data; aiming at database systems of different manufacturers, designing a customized migration tool for each database; extracting specific attribute information contained by the special domain analysis module by constructing the special domain analysis module; sequentially verifying the source database and the target database by adopting a progressive consistency verification strategy, and recording data difference information detected in each stage; a change rationality verification module is configured to analyze an SCD file of the transformer substation, and change rationality judgment is performed on difference items from a source database to a target database; performing unified modeling and graphical display on the obtained difference information through a difference data visualization module; according to the method, the data consistency and correctness in the upgrading and transformation process of the transformer substation monitoring system database are comprehensively verified, so that the stability and the operation reliability of the system are improved.

The invention discloses a slope anchor cable prestress measuring method based on data clustering. The slope anchor cable prestress measuring method comprises the steps that a multi-dimensional database containing environment characteristics, echo energy and counter-pulling method prestress values is constructed; a mixed distance clustering algorithm is designed, numerical features and classification features are jointly processed, and automatic data classification is achieved by iteratively updating a cluster center; the cluster quality is dynamically evaluated based on the contour coefficient, and only when the sample size is gt; 3 and an average contour coefficient gt; constructing an exclusive regression model in the cluster when the contour coefficient is a threshold value; and finally predicting the anchor cable prestress in real time through echo energy. According to the method, the prediction precision under the complex working condition is remarkably improved, the use frequency of the reverse drawing method is reduced, and safe and efficient prestress nondestructive testing is achieved.

The invention relates to the technical field of oil and gas pipeline valve inner leakage online diagnosis, and discloses an oil and gas pipeline valve inner leakage online diagnosis method based on voiceprint analysis. According to the method, valve operation voiceprint data are obtained through a distributed interface to construct a feature database, a diagnosis framework is designed according to the database, and a multi-source voiceprint collection scheme is determined. And the voiceprint acquisition terminal acquires a multi-dimensional voiceprint signal according to the scheme, inputs the multi-dimensional voiceprint signal into a model after feature extraction to complete inner leakage level judgment and abnormal mode recognition, and outputs a diagnosis result. A diagnosis result is transmitted to the management optimization module, and diagnosis strategy adjustment is achieved through timestamp calibration, mapping table construction and the like. And a three-level evaluation sub-frame is also constructed to assist diagnosis. According to the method, accurate diagnosis and strategy optimization of oil and gas pipeline valve inner leakage are realized, and the diagnosis management level is improved.

The invention belongs to the technical field of software engineering, and particularly relates to a quick code repairing method for lightweight compressed context generation. According to the method, efficient repair is realized by constructing a'retrieval-compression-generation 'collaborative architecture; comprising the following steps: constructing a cross-file code retrieval database, designing a lightweight semantic compression encoder (SCE), and compressing retrieved cross-file code blocks into short tokens with high semantic density; semantic compatibility with a large language model (LLM) is realized through a two-stage training strategy; wherein in the semantic alignment stage, the SCE is trained so that the compression token can be accurately analyzed by the LLM, and in the task alignment stage, the LLM is finely adjusted so that the compression token can be utilized to complete repair. Experiments show that on the premise that key logic dependence is reserved, the reasoning efficiency of the model can be improved, the code repairing effect is guaranteed, the method is suitable for cross-file dependence repairing scenes of a large code warehouse and can be integrated into integrated development environment plug-ins, automatic code auditing tools and the like, and the software development and maintenance efficiency is remarkably improved.

The invention provides a rapid detection method for degradation performance of degradable plastics, and relates to the technical field of degradable plastics. The rapid detection method for the degradation performance of the degradable plastic specifically comprises the following steps: S1, establishing an auxiliary database; s2, designing rapid separation and purification; s3, using a Fourier transform infrared microscope; s4, detecting by using activated vermiculite; s5, debugging, and performing rapid separation and purification; and S6, combining the biodegradation rate and the heavy metal index. The rapid detection method for the degradation performance of the degradable plastic is very high in detection accuracy and reliability, supports a sustainable development policy and an ecological environmental protection target, and provides powerful technical support for improvement of the detection capability of enterprises in the industry.

The present application belongs to the technical field of industrial detection, and particularly relates to a conveying belt laser vision tear detection system and method, comprising a layered storage architecture to construct a dynamically updated cross-model conveying belt basic database; a working condition adaptive dynamic enhancement model is designed to perform data enhancement processing on the constructed cross-model conveying belt basic database; an improved YOLOv13 vision tear detection neural network model is constructed to realize cross-model conveying belt laser vision tear intelligent detection; and a multi-dimensional three-level evaluation index system is established based on the vision tear intelligent detection result. The present application effectively improves the range, intelligent degree and detection accuracy of the conveying belt laser vision tear detection, and realizes digital quantifiable evaluation of the conveying belt tear degree.

Adaptive content delivery systems and methods are disclosed herein. An example system is configured to determine capabilities of a requesting end user system, interface with a database designed to store images characterized by criteria, select an image from the database that balances a highest quality and a smallest file size for the end user system, based on the capabilities, and provide the image to a network for delivery to the end user system.

The embodiment of the invention provides a dangerous chemical database design method and system, and belongs to the technical field of data processing. The system comprises a system management module, a database management module, a hazardous chemical data module, a scene adaptation module and a dynamic analysis and evaluation module. The system management module comprises a user management sub-module and a role management sub-module; the database management module comprises a hazardous chemical substance data management sub-module and a report data management sub-module; the hazardous chemical substance data management sub-module is used for newly adding, editing and deleting hazardous chemical substance data; the report data management sub-module is used for newly adding, editing and deleting report data; the hazardous chemical data module is used for storing data information of chemicals; the scene adaptation module is used for adapting to different management scenes; the dynamic analysis and evaluation module is used for generating a management scheme. According to the invention, customer groups can be analyzed according to basic data, customer resources can be developed in a targeted manner, and statistical data of chemical risk assessment can be summarized and processed.

The present disclosure involves systems, software, and computer implemented methods for improved design and implementation of data access metrics for automated physical database design. An example method includes identifying a database workload for which index advisor access counters are to be tracked. Each SQL statement in the database workload is executed. For each SQL statement, attribute sets are determined for which a selection predicate filters a result for an SQL statement. An output cardinality of each selection predicate is determined. A logarithmic counter for an attribute set corresponding to the selection predicate is determined based on the output cardinality of the selection predicate. The determined logarithmic counter is incremented. Respective values for logarithmic counters of the determined attributes are provided to an index advisor. The index advisor determines attribute sets for which to propose an index based on the logarithmic counters of the respective attribute sets.

The invention discloses a multi-person cooperative bus database design method. The method comprises the following steps: an administrator creates each vehicle series and appoints a vehicle series administrator to generate vehicle type information; a vehicle system administrator creates vehicle system sub-vehicle models, creates network segments for the sub-vehicle models and sets network segment administrators, and network topology information of the sub-vehicle models is formed; each network segment administrator edits network segment data and uploads the network segment data to a server to generate a signal library; a vehicle manager creates a vehicle type routing table according to the signal library, and each network segment automatically generates a mapping message and a signal according to the vehicle type routing table; each network segment administrator edits a receiving signal of each node in respective network segment data; checking the consistency of the data of each network segment, uploading the data to a server, maintaining the version by a vehicle administrator, and releasing information to form a current version database; and the car administrator applies to release the current version database from the administrator, and the administrator freezes and releases the current version database after checking that the current version database has no problem. The multi-user collaborative design requirement of new vehicle type development is met.

An embodiment of the present invention relates to a method and apparatus for processing a compound data element access interface. The method comprises: first constructing a compound storage relationship mapping table based on a compound database design; customizing a field data format rule for each type of data element field in the mapping table to form a corresponding data rule set; promptly updating the data rule set when the field data format requirements of any type of data element field change; extracting the corresponding access interface type and interface parameters from an access request input by a user; and, when the access interface type is a mapping table export / data element creation / data element attribute calculation / data element review / mapping table review / data element batch deletion interface, performing corresponding mapping table export / data element creation / data element attribute calculation / data element review / mapping table review / data element batch deletion processing based on the interface parameters and the mapping table and / or the data rule set. The present invention can improve creation efficiency and reduce storage resource waste.

The present invention discloses an intelligent reverse design for accelerating materials for robot-assisted automatic characterization of nanocrystals. Specifically, the following design methods are disclosed: S1) using a high-throughput preparation platform to conduct small-dose experiments; S2) constructing a small-dose experimental database; S3) designing a decision optimization disk; S4) detecting the longitudinal plasmon resonance absorption peak, absorbance ratio, and half-maximum width of the nanocrystals obtained under different reaction conditions using the decision optimization disk, and selecting the experimental conditions that are closest to the target morphological characteristics as further amplification conditions; S5) conducting amplification experiments and obtaining the morphological characteristics of the nanocrystals in each group of experiments; S6) establishing an equation between the reaction volume in the step-by-step method and the corresponding morphological characteristic parameters. The present invention implements intelligent reverse design by implementing robot-assisted automatic characterization of nanocrystals in nanocrystal amplification experiments.

The application discloses a kind of thermal power plant double-layer cost decision optimization method and device, belong to thermal power plant cost optimization field.Therein method includes: establishing auxiliary database;According to auxiliary database design minimum coal purchase / stock cost function, calculate the lowest standard unit price of entering furnace, construct double-layer cost decision optimization model;According to the characteristics of double-layer cost decision optimization model, by McCormick-KKT is converted into single-layer model, by MATLAB is solved, obtains the optimal cost of base model;According to the optimal cost of base model, determine the expected cost, build IGDT model into different risk attitudes, to obtain risk decision optimization and robustness decision optimization;According to risk decision optimization and robustness decision optimization, calculate risk robustness-cost curve.The application overcomes the problems existing in the prior art, such as the cost optimization technology being difficult to perceive future coal spot market fluctuations, being mostly local static optimization, and having a narrow decision-making perspective.

The invention discloses a security enhanced database design method based on a storage object separation mechanism, which comprises the following steps of: firstly, installing and configuring a proper database management system according to the data type of a storage object, and then creating an independent database and a corresponding data table structure for each storage object; according to the method, sensitive data and non-sensitive data are physically isolated, the risk of data leakage is effectively reduced, strict role access control authority is set, it is ensured that only authorized users can access the sensitive data, and meanwhile, a reasonable data backup strategy is formulated according to different types of data tables; and finally, connecting the separately stored databases with a back-end service to form efficient sharing and safe utilization of data between the systems. According to the method, the resource utilization rate and the management efficiency are remarkably optimized while the data security is improved.

An embodiment of the present application provides a database design method, which is applied to a database design system. The method includes: the database design system obtains a comparison task set by a user; based on the comparison task, compares the differences between the design database in the database design system and the currently running database on the server to obtain a comparison result; and provides the comparison result to the user. By comparing the design database with the currently running database on the server and providing the comparison result to the user, the user can be promptly informed of the differences between the design database and the currently running database, avoiding the situation where the user loses control of the database after the currently running database is modified without being promptly informed. This can also avoid errors caused by the user not being promptly informed of database changes during project development.

To increase convenience of a user.SOLUTION: A work support system (1) can support work of a user with a database designed with no-code or low-code. A field information acquisition unit (201) acquires field information relating to a field of the database. A generation-related processing execution unit (202) executes, based on the field information and an AI, generation-related processing related to generation of storage data to be stored in the database. A data storing unit (302) stores the storage data in the database.SELECTED DRAWING: Figure 4

This invention belongs to the interdisciplinary field of sensor design and artificial intelligence, specifically a sensor design method that proactively adapts to the application environment. This invention employs an active learning approach, actively selecting the most informative samples from unlabeled data for labeling, thereby maximizing model performance with less data acquisition. Compared to traditional methods of multiple sensor fabrications, active learning dynamically assesses the uncertainty or representativeness of data samples during model training, prioritizing data points that have the greatest impact on the model's decision boundaries and the strongest performance improvement potential. This method is not only applicable to a single type of sensor chip, but its database design and algorithm model are compatible with various material systems (including organic / inorganic, flexible / rigid, etc.), and can achieve rapid adaptive modeling and parameter recommendation for different application scenarios through transfer learning, demonstrating good scalability and versatility.

The invention belongs to the technical field of aeronautical manufacturing and assembly detection, and relates to a rapid intelligent identification method and system for an aeronautical assembly on-machine operation tool. The method comprises the steps that an aviation assembly on-machine operation tool image database is constructed, a tool recognition-oriented instance segmentation neural network model is designed, and the neural network model can recognize tool type feature information of on-machine operation tool images; training the instance segmentation neural network model by using a computer operation tool image database to obtain a primary computer operation tool recognition model, and processing the primary computer operation tool recognition model through a neural network distillation algorithm and a single-step rapid pruning algorithm to obtain a lightweight computer operation tool recognition model; the method comprises the following steps: acquiring a machine operation tool image in real time, performing instance segmentation on various tools in the image by utilizing a light-weight machine operation tool identification model, and marking various tools on the image by utilizing different colors to obtain a marked machine operation tool image.

The invention discloses an oil field water quality on-line detection system database design method, which comprises the following steps: 1) database selection and configuration: configuring a corresponding database according to system stability and data security, and carrying out regular data backup on water quality data; 2) data verification, wherein cyclic redundancy verification and MD5 verification are adopted to verify the correctness of data transmission; 3) data packaging and caching: for the received water quality data information in the sensor module, packaging different types of sensor data information into corresponding fixed frame formats; 4) designing a data model, establishing water quality classification meeting standards for the received water quality data transmitted by the remote monitoring equipment, and classifying the water quality data; 5) data encryption and decryption; and (6) data transmission: performing data transmission and access by adopting high-concurrency optimization processing. According to the invention, database management is carried out on the water quality indexes of the water injection detection points, so that data sharing and data independence are realized, and the redundancy of water quality data is reduced.

According to some embodiments, methods and systems can be associated with a cloud computing environment. A workload prediction framework can receive observed workload information associated with a database (e.g., a database as a service (“DBaaS”)) in the cloud computing environment. Based on the observed workload information, a statement arrival rate (“SAR”) prediction can be generated. Further, a host variable assignment prediction can be generated based on the observed workload information. The workload prediction framework can then automatically create a workload prediction for the database using the SAR prediction and the host variable assignment prediction. A physical database design advisor (e.g., a table partition advisor) can receive the workload prediction and, in response to the workload prediction, automatically generate a recommended physical layout for the database (e.g., using a cost model, a current physical layout, and an objective function).

The invention discloses a geographic entity construction method based on a framing topographic map. The method comprises the following steps: performing quality inspection on original topographic map data, removing data with unqualified data quality, unifying a data space coordinate system and an elevation reference, executing a storage operation, and integrating multiple pieces of standard framing stored topographic map data into an SQLite database; designing all data layers and attribute fields of the geographic entity, establishing a conversion rule comparison table from the original topographic map elements to the target geographic entity, and performing data category conversion; analyzing attribute information of geographic entity categories, extracting data from the SQLite database according to an entity attribute similarity principle, and obtaining a data set of line elements and surface elements with the same basic attributes; aiming at the line element set and the surface element data set, carrying out spatial data fusion by setting tolerance parameters, and combining lines or surfaces with similar attributes and adjacent spaces into a complete geographic entity; and performing element integrity, logic consistency, topology error check, spatial precision and attribute check on the constructed geographic entity data. According to the method, the overlapping and gap problems among the vector data are intelligently processed based on the attribute consistency and the spatial proximity, the geographic entity production efficiency is improved, and the labor cost is reduced.

The application provides a three-body orbit moon communication navigation constellation optimization method based on data preprocessing, and steps are as follows: S1, determining the type of orbits and the range of amplitudes in the constellation; S2, preprocessing the related data of the satellites on the orbits used for evaluating the performance of the constellation, so as to obtain different orbit sets and databases used in optimization; S3, based on the orbit sets and databases obtained through preprocessing, an initial scheme of the constellation is designed; S4, on the basis of the current number of satellites, one satellite is reduced, and the intelligent optimization algorithm is used in each orbit set to count the corresponding orbit set; S5, step S4 is repeated until the constellation cannot meet the coverage requirements any more; S6, the navigation performance is further optimized for the navigation constellation; and S7, if the navigation performance of the finally obtained constellation is not ideal, the number of satellites is gradually increased, and then step S6 is repeated to continue optimizing the navigation performance until the navigation performance meets the requirements.

The application discloses an insurance intelligent pricing method based on public network information and belongs to the technical field of information processing. The method constructs an insurance intelligent pricing method framework based on public network information, three-level databases (an original database, a calibration database and an application database), designs multi-source heterogeneous data retrieval logic, data availability multi-dimensional calibration rules and management methods, establishes a weight type insurance pricing model combining public network information and internal network information, and realizes the whole process of automatic collection, storage, calibration, management, modeling and optimization of public network information. The application expands the insurance pricing factor category, improves the data granularity, the scientificity and accuracy of the pricing model, reduces the development cost, and is suitable for the dynamic pricing demand of innovative and traditional insurance products.

This invention proposes a database design method and system for mimicking executors, comprising: designing a database for a mimicking system including a database client and a baseline database, and placing an adjudicator at the back end of the database; the database client interacts with each online executor to obtain the database of each online executor, obtain the data tables under the database, obtain the content of the data tables, and finally send the obtained data to the adjudicator; the adjudicator adjudicates the database, data tables, and database tables, and updates the baseline database with the data of the successful adjudication; when the adjudicator detects abnormal database content, it notifies the scheduler to clean the executor or schedule a new executor to come online; based on the baseline database, the scheduler restores the database content of the executor to be cleaned; the scheduler retrieves data from the baseline database to synchronize the data of the newly online executor.

The invention belongs to the technical field of aviation engineering design, and discloses an aircraft hidden fault indication recording system and an alarm database design method.The aircraft hidden fault indication recording system comprises a plurality of sensors used for feeding back state parameters of an aircraft in real time, and the state parameters comprise voltage, current, vibration, frequency, Hall, displacement, temperature and humidity; the at least one processing unit is used for receiving the state parameters of the sensor and external system data so as to realize a system design expected function; the at least one resident application is used for synthesizing the abnormal state of the whole aircraft based on the feedback data of each processing unit and the sensor data, then giving out comprehensive judgment and feeding back possible hidden faults; wherein the system is composed of the sensor, the processing unit and the resident application according to the complexity of cross-linking of the aircraft system. According to the invention, the problem that the existing hidden fault of the airplane is difficult to position and troubleshoot is solved, so that the hidden fault of the airplane is quickly positioned and troubleshot.

The invention relates to the technical field of aircraft testing, and particularly discloses a management method and system for test flight / test data recharge. The system comprises a user application layer, a business layer and a storage layer, wherein the user application layer provides project configuration, data management and visualization functions; the business layer is responsible for data acquisition, analysis, assignment and recharge scheduling; the storage layer is used for storing test data and project configuration. The method comprises the following steps: configuring a recharge project and binding a signal relationship, extracting data from a flight test file or a local database and carrying out time alignment and analysis, generating to-be-recharged data through formula calculation, and finally recharging the to-be-recharged data to a simulation system through a network or a reflective memory card. Through unified configuration management, dynamic header file analysis, tree dragging and binding and multi-layer database design, standardization and reproducibility of a data recharging process are realized, simulation verification efficiency is remarkably improved, script writing cost is reduced, and an environment building period is shortened.