Industrial Edge Insights - Time Series Release Notes#

v2025.2 - December 2025#

This release introduces substantial enhancements to the Time Series AI stack, including a new sample application and several key features detailed below.

Time Series AI Stack Enhancements#

  • Introduced Makefile support for scalable processing of multiple input streams via OPC-UA and MQTT protocols, enabling effective benchmarking of sample applications.

  • Updated Makefile to support multiple sample applications through an app parameter.

  • Enabled GPU-based inferencing for both Docker Compose and Helm deployments.

  • Removed model registry microservice code and documentation from sample applications.

  • Integrated nginx reverse proxy to centralize external traffic for web applications and REST API servers, reducing port exposure.

  • Refactored configuration files, codebase, and documentation to eliminate redundancy.

  • Added documentation for secure connectivity to internal and external MQTT brokers.

  • Implemented various improvements in documentation, usability, and configuration management for both Docker Compose and Helm deployments.

Wind Turbine Anomaly Detection - v1.1.0#

  • Enabled iGPU based inferencing for the machine learning model using the scikit-learn-intelex package.

Weld Anomaly Detection - v1.0.0#

  • Introduced a weld anomaly detection sample application featuring dataset ingestion, CatBoost machine learning model integration, and a dedicated Grafana dashboard.

v1.0.0 - August 2025#

This is the first version of the Wind Turbine Anomaly detection sample app showcasing a time series use case by detecting the anomalous power generation patterns relative to wind speed.

Deployments#

  • Docker compose deployment on single node

  • Helm deployment on kubernetes single cluster node

Features#

  • Added sample OPC-UA server and MQTT publisher data simulators to ingest the wind turbine data

  • Generic Time Series AI stack supporting the data ingestion, data analytics, data storage and data visualization

  • Data Analytics is powered by Time Series Analytics Microservice which from the sample app context takes in the configuration related to wind turbine sample app and the User Defined Function(UDF) deployment package and provides below capabilities:

    • Provides the OPC-UA connector to publish the anomaly alerts to configured OPC-UA server

    • Provides support to publish the anomaly alerts to configured MQTT server

    • Provides support to customize the UDF deployment package