HighByte Blog
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Time to read: 7 minutes  Posted by John Harrington Manufacturers and other industrial companies adopting Industry 4.0 want to make industrial data available at scale across the enterprise to drive business decisions. Yet as these companies connect more processes, systems, and machines, their data modeling and integration needs have become more complex.
Industrial DataOps solutions like HighByte Intelligence Hub provide an answer to this complexity. The software provides a dedicated data modeling management and abstraction layer that helps users streamline their data architecture and reduce time to deploy new systems. In fact, as companies have expanded their usage of HighByte Intelligence Hub, they’ve begun to implement deployment architectures beyond a single hub. In a recent poll of HighByte Intelligence Hub users, we asked how many instances they plan to run at a single site. The results validated the demand for a multi-hub architecture: Half of the respondents expect to deploy two to five hubs per site; nearly one-quarter said they plan to use six to 10 hubs per location. Time to read: 5 minutes  Posted by Tony Paine Since releasing HighByte Intelligence Hub version 1.0 in January 2020, our customers have been successfully deploying solutions to simplify the integration of existing operational technology (OT) and new Industry 4.0 solutions that deliver rich information to IT, data scientists, and other stakeholders. Throughout the past year, we have focused on building out a connectivity library that enables users to connect to AWS IoT SiteWise, Azure IoT Hub and Event Hubs, REST, SQL, MQTT / Sparkplug, OPC UA, and CSV files, providing the market with the interoperability needed for Digital Transformation. In addition to connectivity, HighByte Intelligence Hub introduced a no-code approach to modeling assets, systems, processes, or systems of systems that are centrally managed and automatically transformed into a usable format for any one of our connectors. This has enabled customers to scale their plant to cloud initiatives in days and weeks, rather than months and years.
Time to read: 7 minutes  Posted by John Harrington The unified namespace (sometimes referred to as the UNS or universal namespace) can be an allusive concept for many of us as we move to an Industry 4.0. world. At HighByte, we define the UNS as a consolidated, abstracted structure by which all business applications are able to consume real-time industrial data in a consistent manner. The benefits of a UNS include reduced time to implement new integrations, reduced efforts to maintain data integrations, improved agility of integrations, access to new data, and improved data quality and security.
We are often asked if HighByte Intelligence Hub is a UNS. The answer depends on your priorities and project scope. We typically see three architectural patterns for implementing the UNS. HighByte Intelligence Hub can play a key role in each approach by both providing access and structure to the UNS or acting as the UNS. Time to read: 6 minutes  Posted by John Harrington Data modeling is all about standardization. It enables interoperability, shows intent, determines trust, and ensures proper data governance. Given the criticality of usable data at scale for Industry 4.0, many manufacturers have turned to ISA-95—probably the most commonly recognized data-modeling standard around the world—for guidance.
Created by a standards committee at the International Society of Automation, the ISA-95 specification defines in detail the electronic information exchange between manufacturing control functions and other enterprise functions, including data models and exchange definitions. The purpose of ISA-95 is “to create a standard that will define the interface between control functions and other enterprise functions based upon the Purdue Reference Model”. Per the committee, the goal is to reduce the risk, cost, and errors associated with system integration. Historically, ISA-95 has been the guide for many off-the-shelf and bespoke manufacturing execution systems (MES). Today, ISA-95 also helps industrial organizations implement data integrations that link MES, enterprise resource planning (ERP) systems, IIoT platforms, data lakes, and analytics solutions. It also eases the implementation of a unified namespace (UNS) for enterprise data integration. The specification defines a hierarchal model for systems, detailed information models, and a data flow model for manufacturing operations management (MOM). Let’s take a look at these 3 key attributes in more detail and uncover how the ISA-95 specification can be applied within HighByte Intelligence Hub. |
