TDengine Industrial Demos
Each demo is built around a real industrial scenario and showcases how TDengine is used in practice — from interactive visualizations and real-time analytics to event management and TDgpt-powered anomaly detection. Together, these examples illustrate how industrial data can be modeled, analyzed, and acted on within a single platform, helping you evaluate how TDengine would work in your own industry context.
Solar Farm
Our solar farm demo illustrates how data from inverters, trackers, and weather systems can be managed at scale to enable real-time monitoring, historical analysis, and performance optimization across multiple sites.
Learn moreMining
Our mining demo shows how high-frequency operational data from equipment and sensors can be unified across sites to provide a real-time, time-aligned view of equipment health and production status, supporting faster analysis, troubleshooting, and predictive maintenance.
Oil & Gas
Our oil and gas demo highlights how high-frequency operational data from oil wells and production systems can be unified across assets to provide a real-time, time-aligned view of production performance and equipment conditions, supporting faster analysis, troubleshooting, and predictive maintenance.
Learn moreTake the Next Step
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