TDengine IDMP in Action

Learn how you can use TDengine IDMP to manage and visualize operations data
in a variety of industrial scenarios.

Hands-on Tutorials

Microgrid with Sparkplug B

This demonstration simulates a microgrid system with wind power, solar power, and energy storage assets. Metrics from this system are ingested over Sparkplug B into TDengine TSDB, and an asset model is built and panels and real-time analysis tasks are generated in TDengine IDMP.

Tech stack: Sparkplug B > MQTT Broker > TDengine TSDB > TDengine IDMP

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Industrial Boilers with Kepware

This demonstration shows how you can collect industrial boiler system monitoring critical metrics in KEPServerEX, ingest them into TDengine TSDB, and then build an asset model in TDengine IDMP. KEPServerEX is deployed locally while TDengine is deployed as TDengine Cloud, a fully managed cloud service.

Tech stack: KEPServerEX > OPC UA > TDengine TSDB > TDengine IDMP

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Electric Vehicles with MQTT

This demonstration simulates the collection of electric vehicle monitoring metrics over MQTT into TDengine TSDB and the AI-driven generation of panels and real-time analyses in TDengine IDMP.

Tech stack: MQTT Broker > TDengine TSDB > TDengine IDMP

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Data Center Monitoring with Telegraf

This demonstration shows how to easily collect data center system monitoring metrics, such as CPU, memory, disk, and network usage, using the open-source tool Telegraf, write the data into the TDengine TSDB time-series database, and then, through TDengine IDMP, use AI to automatically generate visual dashboards and real-time analytics.

Tech stack: Telegraf > TDengine TSDB > TDengine IDMP

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