Data Templates play a crucial role in FactoryStudio projects by facilitating the creation of tags with predefined attributes and organizing them into hierarchical structures that represent assets or information models. Utilizing Data Templates enables users to access tag attributes effortlessly and manage their data with increased efficiency. To employ a Data Template in a project, users need to create a new tag and select the appropriate template type. The tag will then inherit the defined attributes from the template, allowing users to access and manipulate these attributes as required throughout the project.
This document serves as a comprehensive guide for understanding, configuring, and working with Data Templates in FactoryStudio projects. It aims to streamline data management, enhance system efficiency, and simplify the process of accessing tag attributes. The document will cover the following key topics: Overview, Understanding Using Data Templates, Data Templates Configuration, and Working Using Data Templates.
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Templates allow you to create new tag types based on a data structure using existing built-in types and previously defined Templates.
To create a tag template:
Enter or select information, as needed. The properties are the same ones for Tags. See Creating and Editing Tags above.
Data templates streamline the creation of tags by supplying predetermined attributes. By employing these templates, users can efficiently manage data by upholding a logical and hierarchical structure representing assets or informational models.
To implement a Data Template in your project:
Asset Templates are a vital aspect of FactoryStudio, allowing users to create reusable data structures and logically organize tags into hierarchical representations of equipment or information models. This organization helps to enhance data management and improve overall system efficiency.
Custom Data Types, or User-Defined Types (UDTs), can be created to represent complex data structures in the Unified Namespace. These UDTs can include multiple tag attributes, allowing users to model various properties of an asset, such as its current state, operational parameters, and historical data. Building custom data types ensures a more accurate and comprehensive representation of assets and their associated tag attributes.