49 results about "Physical data model" patented technology

A dynamic data-modeling system and a content management framework combined into a high-level application development framework is disclosed. In one embodiment, the system for application development, comprises a data-modeling framework configured to enable a user to define a logical data model. The data-modeling framework dynamically translates the logical data model into a corresponding physical data model. The changes to the logical data model are automatically adjusted in the physical data model accordingly. A content management framework is coupled to the data-modeling framework. The content management framework is configured to provide tools to enable the user to manage content associated with the physical data model based on the logical data model.

The invention discloses a code generation method and apparatus. The method comprises the steps of performing semantic analysis on a physical data model (PDM) file to obtain a PDM file object; converting the PDM file object into a table directory tree, wherein the table directory tree comprises a table object corresponding to the PDM file object; displaying the table directory tree in a visual interface; determining a table object needed to be subjected to code generation in the visual interface, and performing table structure information configuration on the determined table object; configuring system parameters and system code templates, and configuring self-defined parameters and self-defined templates; filling a template group composed of the system code templates and the self-defined templates with the table structure information, the system parameters and the self-defined parameters to generate a preview code; and after the preview code is confirmed to be correct, generating foreground and background codes corresponding to the preview code. According to the code generation method and apparatus, the software program development efficiency can be improved, the development cost can be reduced, and the development cycle can be shortened.

The present invention is called a document customizer. The document customizer captures and records changes made to an electronic and/or physical footprint of a data warehouse engagement by a knowledgeable field practitioner. The document customizer starts with a “system-of-record” document which defines the starting system parameters of the data warehouse, as initially delivered to the customer (i.e., Logical Data Model, Physical Data Model, Metadata and system configuration templates). The document customizer allows the practitioner to archive and document the modifications made to the system-of-record and creates an on-line environment to document and time-stamp the modifications made to the data warehouse. The document customizer then creates a “current” system-of-record document. Provisions are included to make additions and modifications to the (new) current document to allow text comments and notes to be input.

Techniques for implementing system best practices are provided. In one aspect, a method for monitoring, modeling and managing a physical system is provided. The method includes the following steps. A physical data model of the physical system is provided. Real time data is obtained from the physical system. The physical data model is updated based on the real time data. An analytic model of the physical system is created based on the updated physical data model. Operation of the physical system is controlled based on output from the analytic model.

The invention discloses a difference control method of a data model. The method comprises the following steps that (a), PDM (physical data model) files of different version databases are obtained; (b) the data structure of each basic element in the PDM files is extracted and is stored into a database; (c) the data structures of all of the basic elements in the two PDM files are read from the database for one-by-one difference comparison; (d) difference results of the two version databases corresponding to the two PDM files are displayed by adopting visualization patterns and statistical data. The difference control method has the advantages that the data structure of each basic element in the PDM files of different version databases is extracted, and the difference results of the two version database are displayed through one-by-one comparison, pattern visualization and data statistics, so the data models can be collected in a unified way, various data models can be fast and conveniently managed, in addition, the differences of different version data models can be accurately distinguished, and the effective difference control is realized.

The invention relates to a scattering generalization imaging method and experiment method based on physical driving, and belongs to the technical field of imaging analysis, and the method comprises the steps: building a physical/data model, and employing a speckle pattern collected by a camera for imaging the speckle pattern; and taking the speckle correlation theory as a universal physical principle to constrain and guide the neural network to carry out generalized imaging in different scattering scenes. The experimental method comprises theoretical analysis and a system experiment, and the method is systematically discussed by establishing a specific system experiment. And the generalization ability and the generalization quality are improved, and more complex targets are generalized. Aphysical model based on speckle correlation and a data model based on deep learning are organically combined, so that the scattering generalization imaging effect and the imaging range of the neural network model are greatly improved.

Aiming at the defects in the prior art, the invention provides an asset big data intelligent analysis method which comprehensively considers dimensions involved in query requirements and distributes the dimensions to different routes according to query specific contents, thereby realizing quick and efficient query of the overall condition of asset business and ensuring flexibility. In order to achieve the purpose, the asset big data intelligent analysis method comprises the following steps: carrying out multi-dimensional cubic construction on an integrated data set subjected to ETL conversion;obtaining the index data meeting the query condition from the multi-dimensional data cube, and taking the index data as a response result of the query request. According to the method, the physical data model is mapped from the aspects of the asset field model and the concept model, so that business personnel can build and configure a big data multi-dimensional model in a self-service manner andperform optimization and query according to pure business understanding, and the problem that the business personnel are difficult to understand underlying data is avoided.

The invention relates to an integrated three-dimensional data modeling method for a comprehensive pipe network geographic information system, which comprises the following steps: (1) abstracting urbancomprehensive pipe network elements; (2) constructing change events of an urban comprehensive pipe network; (3) constructing an urban comprehensive pipe network element topologic relation; (4) constructing a semantic relation model for the urban comprehensive pipe network elements according to the essential characteristics and rules of the urban comprehensive pipe network; and (5) constructing aphysical data model for the urban comprehensive pipe network, and realizing the association between a geometric data model and attribute data and relation according to the physical organization of urban comprehensive pipe network data. The three-dimensional data modeling method achieves the uniformity on a model system of the urban comprehensive pipe network data, meets the requirement on expression of dynamic information of the urban comprehensive pipe network, and is worth popularizing and applying.

The invention discloses a code generation method and device based on the integration of frameworks Spring and MyBatis. The method comprises the steps that a data access object DAO layer configuration file is read; according to the DAO layer configuration file, model data in a physical data model (PDM) is obtained; the model data in the PDM is converted into an entity class; the entity class and a DAO layer template file are called to generate a DAO layer code file. The problems that in the prior art, codes can be generated by integrating different database drives for different databases and a large amount of repeated work exists in application development based on the frameworks Spring and MyBatis are solved, and the effects of improving the code reuse rate and enhancing a code generating function are achieved.

To integrate a sensory property such as occlusion, shadowing, reflection, etc. among physical and notional (e.g. virtual/augment) visual or other sensory content, providing an appearance of similar occlusion, shadowing, etc. in both models. A reference position, a physical data model representing physical entities, and a notional data model are created or accessed. A first sensory property from either data model is selected. A second sensory property is determined corresponding with the first sensory property, and notional sensory content is generated from the notional data model with the second sensory property applied thereto. The notional sensory content is outputted to the reference position with a see-through display. Consequently, notional entities may appear occluded by physical entities, physical entities may appear to cast shadows from notional light sources, etc.

The present invention is a method, system and apparatus for generating parameterized installation scripts to accommodate the installation of multiple databases sharing similar physical constructs. The method of the invention can include the step of creating a database which can achieve the foregoing stated advantages of the present invention, a parameterized description of a physical data model can be first combined with a set of database specific properties to produce a physical database. A parameterized description of a logical data model can be second combined with the set of database specific properties to generate a logical model for the physical database. The first combining step can include the step of creating at least one bufferpool in the physical database as specified by the properties. Also, the first combining step can include the step of creating at least one tablespace in the physical database as specified by the properties.

The embodiment of the application provides a configuration method, a device, a terminal and a storage medium of a visual development environment. The method comprises the following steps: binding a physical data model, reading the physical data model, and establishing an O/R relationship channel; loading model data sets, configuring dependencies and event relationships between data models, and generating bi-directional mapping relationships with physical data models; the data model set being restructured to complete the mapping relationship at the field level; a unified code file being generated according to the O/R bi-directional mapping relationship between the physical data model and the data model set; calling data interface, accessing database, completing the function operation of business scenario. The method provided by the present application unifies the technical framework, at the same time, the technical framework has the characteristics of high automation, high development efficiency, low professional requirements, few loopholes, code specifications, safety, simplicity and ease of use, and comprehensive functions, and saves time cost and labor cost.

A method for implementing standardized enterprise warehouse system processes, including: extracting content from one or more source systems that provide a feed for the content; loading extracted content into one or more standardized data layout tables of a data control structure based upon meta-data and rules that define the data control structure, wherein the extracted content is in condition for transformation and data warehouse loading, and the standardized data layout tables comprise a logical data model; propagating the extracted content into a physical data model, and updating the physical data model upon the detection of a data event.

Various methods, apparatuses/systems, and media for automatically mapping physical data models or objects to logical data models which in turn are automatically mapped to business terms are disclosed. A database stores a raw physical data model of an application. A processor extracts the raw physical data model of the application from the database. The processor also converts physical object names associated with the raw physical data model into English terms based on a taxonomy expansion list; applies a plurality of standardization and contextualization rules to the English terms generated from converting the physical object names; outputs names based on applying the plurality of standardization and contextualization rules to the English terms; applies fuzzy logic and machine learning routines and matching algorithms for matching the names to predefined logical terms; and automatically generates a mapping of physical objects or elements in the application with logical attributes and related business terms.

A system and methods are disclosed for providing integrated software development environment for the design, verification and validation of advanced automotive safety systems. The system allows automotive software to be developed on a host computer using a collection of computer programs running simultaneously as processes and synchronized by a central process. The software disclosed uses separate synchronized processes, permitting signals from disparate sources to be generated by a simulation running on the host computer or from actual sensors and data bus signals coming from and going to actual vehicle hardware which is connected to their bus counterparts in the host computer on a real-time basis. The methods provide a data model that first extends the capabilities of the physical data model and then translates, gates, optimizes, fuses, filters and manages the physical representation of the logical model into a state estimation of the situation around the vehicle.

Described herein is a technology for facilitating delta data load. In some implementations, history tables corresponding to physical tables in a data source are provided in a database layer. The database layer includes change list tables corresponding to the history tables and a physical data model based on one or more physical tables. Delta data is determined by analyzing the change list table to create delta data summary tables. Key lists are generated for summary tables corresponding to physical tables which physical data is based. The delta data is applied to the physical data model.