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 and IT
Accelerate and scale your data lake, IIoT, and analytics initiatives while improving communications between OT and IT.
✓ Condition, organize, merge, and standardize your industrial data in one solution
✓ Model, document, and deliver your data more efficiently
✓ Govern data standards across the enterprise
✓ Stop writing custom scripts and troubleshooting broken integrations
✓ Reduce time spent preparing data for analysis
✓ Reduce data loss from dropped connections
✓ Produce audit logs for system integrity and regulatory traceability
✓ Improve system-wide security
✓ Reduce Cloud ingest, processing and storage costs for unusable and unneeded data
✓ Reduce time spent deploying and maintaining system integrations
✓ Model, document, and deliver your data more efficiently
✓ Govern data standards across the enterprise
✓ Stop writing custom scripts and troubleshooting broken integrations
✓ Reduce time spent preparing data for analysis
✓ Reduce data loss from dropped connections
✓ Produce audit logs for system integrity and regulatory traceability
✓ Improve system-wide security
✓ Reduce Cloud ingest, processing and storage costs for unusable and unneeded data
✓ Reduce time spent deploying and maintaining system integrations
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 and deadbands to condition raw data.
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3. ModelDevelop models that standardize and contextualize industrial data.
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4. FlowControl the flow of industrial data to consuming applications.
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The Features You Need for a Secure Infrastructure
Data Modeling
Represent machines, products, processes, and systems with key intelligent information 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.
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.
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.
Connection Flows
Create data flows for raw data, modeled information or files between connections at any frequency or event. Manage data flows within HighByte Intelligence Hub monitoring flow state and enable/disable the flow of information to consuming applications. 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. Enable store and forward to buffer data on disk if target connection is lost.
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 hub user. Assign a user to a role with a pre-defined set of permission claims or assign a user their own unique permission claims. 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.
