HighByte Intelligence Hub |
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Contextualized data is essential for Industry 4.0. Deploy HighByte Intelligence Hub at the Edge to access, model, transform, and prepare plant floor data for analysis in the Cloud.
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The Industrial DataOps Solution for Industry 4.0
HighByte Intelligence Hub is an Industrial DataOps software solution designed specifically for industrial data modeling, delivery, and governance.
Built for Industrial Data
HighByte Intelligence Hub was built for the unique qualities of industrial data. The software securely connects devices, files, databases, and systems via open standards and native connections. Use the interface to model streaming data in real time, normalize and standardize data points and data models inherent to diverse machinery, and add context to data payloads that otherwise lack descriptions. Tap into real-time and asset model data from a variety of edge data sources, including machine data, transactional data, and time series (historical) data.
Designed for Scale
HighByte Intelligence Hub was designed for scale. Simplify and accelerate the modeling of tens of thousands of datapoints from PLCs and machine controllers with re-usable models that transform raw data into complex, useful information. Efficiently deliver contextualized and correlated information to the applications that require it.
Ideal for Operations
HighByte Intelligence Hub is an ideal solution for manufacturers and other industrial companies because the software was designed for Operational Technology (OT) teams. The platform-agnostic solution runs on-premises at the Edge, scales from embedded to server-grade computing platforms, and offers a code-free user interface. Administrators can network distributed Intelligence Hubs through a single management portal.
Measurable Benefits for OT, IT, and Line of Business
Accelerate analytics and other Industry 4.0 use cases with a digital infrastructure solution built for scale.
✓ Reduce system integration time from months to hours
✓ Improve data curation and preparation time for AI and ML applications
✓ Scale operations metrics and analytics across the enterprise
✓ Reduce information wait time for business functions
✓ Eliminate time spent troubleshooting broken integrations
✓ Empower operators with insights from the Cloud
✓ Improve system-wide security and data governance
✓ Meet system integrity and regulatory traceability requirements
✓ Reduce Cloud ingest, processing, and storage costs
✓ Automate and maintain data pipelines
✓ Improve data curation and preparation time for AI and ML applications
✓ Scale operations metrics and analytics across the enterprise
✓ Reduce information wait time for business functions
✓ Eliminate time spent troubleshooting broken integrations
✓ Empower operators with insights from the Cloud
✓ Improve system-wide security and data governance
✓ Meet system integrity and regulatory traceability requirements
✓ Reduce Cloud ingest, processing, and storage costs
✓ Automate and maintain data pipelines
Connect, Condition, Model, and Flow
1. ConnectConnect to inputs and publish outputs with a few clicks—no scripting involved.
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2. ConditionCreate aggregates, deadbands, and custom conditions to transform raw data.
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3. ModelDevelop models that standardize and contextualize industrial data.
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4. FlowControl and monitor the flow of industrial data to consuming applications.
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The Features You Need for an Agile Infrastructure
Data Modeling
Represent machines, products, processes, and systems with key intelligent data models suited to your needs. Contextualize thousands of industrial data points by merging them with information from other systems, adding meta data, standardizing data attribute names and lists, and normalizing units of measure. Model hundreds of common assets in minutes with templatized inputs and instances.
Data Conditioning
Collect raw input data, condition the data, and pass conditioned data to instances or flows. Filter data through a deadband condition to reduce the jitter in a source sensor or measurement. Filter the data through an aggregate to buffer higher resolution data and provide statistical calculations using average, min, max, count, and delta at a slower rate to characterize the specified time period. Manipulate and transform raw input data into usable information. Alarm on bad quality or stale data.
Data Transformations
Use the built-in transformation engine based on JavaScript notation to standardize and normalize data for comparison and application mismatches. The transformation engine enables you to perform calculations, execute logic to define new “virtual property” values, and decompose complex strings at the Edge to improve data usability and reduce transmission volume. Define global JavaScript functions or load third-party JavaScript or Node packages, then use them in any expression within the Intelligence Hub.
Connection Flows
Create data flows for raw data, modeled information or files between connections at any frequency or event. Enable store and forward to buffer data on disk if target connection is lost. Manage data flows within HighByte Intelligence Hub, monitoring flow state and key metrics. See and be alerted to connection and flow failures through the Intelligence Hub and easily monitor the Intelligence Hub at scale using third-party system-monitoring applications.
Codeless Integration
Collect and publish data over open standards and native connections—eliminating the need for custom-coded integrations. Easily configure and manage multiple connections and their respective inputs and outputs within the script-free interface. Collect data from SQL and REST source systems using dynamic requests leveraging inputs from other systems. Merge data from multiple systems into a complex modeled payload.
Security
Exchange data using the built-in security of connection protocols. By identifying outputs by connection, administrators can implement higher-level management and security than typical pub/sub broker architectures and open, unmanaged API access. Authenticate users and their roles through third party identity providers with Security Assertion Markup Language (SAML).
Edge Native
Run HighByte Intelligence Hub on your choice of light-weight hardware platforms including single board computers, industrial switches, IoT gateways, and industrial data servers. Deploy as an individual software installation or Docker image, which allows you to rapidly deploy and upgrade system software components.
Multi-Hub Configuration
Connect multiple hubs to a single host that acts as the central hub. Once connected, administrators can log in to the central hub and easily switch between hubs to configure and monitor individual hub activity and compare configurations for differences. Administrators can also synchronize models, connections, or complete projects between hubs.
High Availability
Deploy redundant Intelligence Hubs for critical data and pair the hubs as a primary and secondary. A secondary hub will be ready in a warm state ready to enable flows when it detects the primary is no longer responding.
Administration
Create unique user names and passwords for each user. Assign a user to a role with a pre-defined set of permission claims or assign a user their own unique permission claims. Use Active Directory to manage authentication, authorization of users, and application settings. Create and maintain certificates in the hub configuration to authenticate and secure data transfer with other systems.
Auditing
Enable audit logging to allow all configuration creations, modifications, or deletions to be logged to the event log as AUDIT type events. View all log events through the configuration and filter by type, source, or message text. Automatically back up the runtime’s configuration file to a backup directory at a specified frequency and maintain a specified maximum number of these files. These backups will enable you to roll back the configuration if an incorrect change was made that caused problems with the configuration.
