New use cases: HighByte Intelligence Hub version 1.4 is here
Aron Semle
is the Chief Technology Officer of HighByte, focused on guiding the company’s product strategy through research and development and technical evangelism. Aron has served in a variety of roles in his 15-year career in industrial technology, including software engineer, product manager, R&D lead, and director of solutions management, building innovative software solutions for the manufacturing operations market. Aron received a Bachelor of Science in Computer Engineering from the University of Maine.
Our latest release is packed with new features and capabilities that make common Industry 4.0 use cases not just easy, but fun!
Do you need to get SQL data into your Unified Namespace (UNS)? How about data from your test equipment that’s sitting around in CSV files? Maybe you’re moving away from SQL and experimenting with NoSQL alternatives because your data models are in a state of change? Even better, maybe you have your Edge-to-Cloud strategy figured out, and now you’re looking at “Cloud-to-Edge”, trying to get alerts generated by machine learning back to the factory floor. These are just a handful of use cases we hear from customers and new use cases we’ve enabled in HighByte Intelligence Hub version 1.4.
Do you need to get SQL data into your Unified Namespace (UNS)? How about data from your test equipment that’s sitting around in CSV files? Maybe you’re moving away from SQL and experimenting with NoSQL alternatives because your data models are in a state of change? Even better, maybe you have your Edge-to-Cloud strategy figured out, and now you’re looking at “Cloud-to-Edge”, trying to get alerts generated by machine learning back to the factory floor. These are just a handful of use cases we hear from customers and new use cases we’ve enabled in HighByte Intelligence Hub version 1.4.
Highlights & Use Cases
- Use Multiple Flow Inputs and Outputs. Let’s say you’ve created a “boiler” model to model the ten boilers you have at your facility. Now you can create a single flow that sends data for all ten of the boilers to an AWS IoT Core topic or all the boiler data to multiple outputs, like a REST endpoint for debugging and Azure IoT Hub for production.
- See Your Data. Now you can easily create and test any input in the UI, allowing you to see what data and schema the input returns. Not sure where that “amps” attribute was in that JSON payload? Simply expand the input in the expression builder and see all the data and schema right in the UI.
- Work With Arrays. Arrays are everywhere, from OPC UA arrays representing set points in the PLC, to an array of JSON objects representing motor running hours from a maintenance system. HighByte Intelligence Hub now supports inputting and outputting simple and complex array types. You can index arrays in expressions, slice them, dice them, and even build arrays out of primitive OPC UA tags.
- Read CSV Files. Many older industrial devices, especially testing equipment, write their data to a CSV file. This new input makes it easy to read one or more CSV files from a directory. Files can be static, or the input can index files, reading them in chunks and moving them to a completion directory when done.
- Get More From Your OPC UA Connections. OPC UA now supports encryption and username and password. The connector also supports outputting a model to a tag group (i.e., multiple tags), making getting modeled data into an OPC UA server even easier.
- Move SQL data Into and Out of Your UNS. You can now read multiple rows from a SQL table, run them through a model to do things like change the column name or add in new data, and output them to MQTT as an array of JSON objects representing each row. This makes getting SQL data into your UNS easy. The SQL connector output also now supports table creation, so you can connect an MQTT input into the UNS, subscribe to a topic, and output the data model directly to a SQL table to review data locally. SQL outputs can also call stored procedures or log data as JSON in cases where the model schema isn’t finalized.
- Leverage REST Templates. Do you need to get data into InfluxDB using their line protocol? Or Elastic Search? The REST output now allows you to transform the default JSON output to any format you need, including XML. This makes integration with REST based interfaces easy and flexible.
- Enable Cloud-to-Edge with MQTT. MQTT now supports inputs and secure (TLS) connections, allowing you to connect to MQTT brokers like AWS IoT Core. This enables “Cloud-to-Edge” use cases, where machine learning alerts generated in AWS can be sent back down to HighByte Intelligence Hub, transformed via modeling, and then output to protocols like Sparkplug, making the data immediately available in any Sparkplug-enabled SCADA system like Ignition. Another common use case with a similar data flow is streaming sensor data to AWS IoT Core from third-party sensor providers (i.e. LoRa sensors). This data can be pulled in, modeled, and output to the SCADA system using HighByte Intelligence Hub.
Additional Resources
We hope you are as excited as we are about the new use cases we’ve enabled in HighByte Intelligence Hub version 1.4. This release provides users with a much more sophisticated tool to work with complex data sets. To learn more, check out these additional resources:
- Watch the release webinar
- Read the release notes for details on new features and fixes
- Request a free trial or log in to your existing account to test the software in your unique environment
Get started today!
Join the free trial program to get hands-on access to all the features and functionality within HighByte Intelligence Hub and start testing the software in your unique environment.
