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Modeling

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Create Models in HighByte Intelligence Hub

Develop models that standardize and contextualize industrial data.

The data model forms the basis for standardizing data across a wide range of raw input data. A data model is comprised of a collection of attributes that are common to the logical item. When working with industrial data, a data model is typically a standard representation of an asset, process, product, system, or role.
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Standardization
From one machine to the next, each industrial device may have its own data structure. Historically, vendors, systems integrators, and in-house controls engineers have not focused on creating data standards. They refined the systems and changed the data models over time to suit their needs. This worked for one-off projects, but today’s IIoT projects require more scalability. Leveraging standard models defined for your production lines, work cells, and machinery allows rapid adoption of analytics and visualization applications where individual datapoints do not need to be mapped and synchronized.
 
Scalability
To handle the scale of hundreds of machines and controllers—and tens of thousands of data points—a set of standard models can be established using HighByte Intelligence Hub. The models correlate the data by machinery, process, and product and present it to the consuming applications. This systematic approach of building data models greatly accelerates the usage of this information and simplifies the management of the integrations.
 
Merging
At the core of the model is the real-time data coming off the machinery and automation equipment. This data must often be augmented from many sources, including other equipment or controllers nearby, smart devices or sensors, derivations or transformations computed from existing data points available, metadata manually entered, and data from other databases or systems. Once the standard models are created in HighByte Intelligence Hub, they can be instantiated for each logical asset, process, and/or product. HighByte Intelligence Hub enables you to merge data from many sources.
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Modeling Features and Functionality

Use HighByte Intelligence Hub to complete the following tasks.

Create models of assets, processes, products, systems

Establish model hierarchy


Define models top-down or bottom-up

Normalize data to standard units of measure, scale, and types

Convert numeric enumerations to text value

Pass through fully modeled source data 

​Create models for AWS IoT SiteWise

Perform logic using multiple inputs to set attribute values
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Leverage open models like ISA-95, or industry-specific semantic model hierarchies
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Ready to see more?
Curious to learn more and see a live demo of HighByte Intelligence Hub? In this demo, we will show you how to deploy HighByte Intelligence Hub at the Edge to access, model, transform, and securely flow industrial data to all of your IT applications without writing or maintaining any code. Click the button to select a time that is convenient for you. 
Schedule a Demo

​<< Connections | Flows >>
HighByte is an industrial software development company in Portland, Maine building solutions that address the data architecture and integration challenges created by Industry 4.0. We’ve developed the first DataOps solution purpose-built to meet the unique requirements of industrial assets, products, processes & systems at the Edge.
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info@highbyte.com
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+1 844.DATA.OPS
+1 844.328.2677 
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52 Alder Street, Suite 2
Portland, Maine 04101 USA
Copyright © 2021 HighByte, Inc. All rights reserved. | Privacy Policy | COVID-19 Statement
  • INTELLIGENCE HUB
    • OVERVIEW
    • CONNECTIONS
    • MODELING
    • FLOWS
  • RESOURCES
    • ANALYST REPORTS
    • ARTICLES
    • BLOG
    • EVENTS
    • RELEASE NOTES
    • WHITE PAPERS
  • TRY & BUY
  • COMPANY
    • OUR TEAM
    • CAREERS
    • NEWS
  • CONTACT