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| <!-- ========== Buttons ========== --> |
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| <h2 class="page-section-title">Industrial IoT</h2> |
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| <i class="fas fa-check sp-color-green"></i> Integrated adapters such as OPC UA and MQTT and data processors tailored at analyzing high-frequency sensor data make StreamPipes a great choice to <span |
| class="feature-highlights-bg">quickly analyze machine data.</span> |
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| <i class="fas fa-check sp-color-green"></i> The ability to create geographically distributed pipelines make StreamPipes suitable for <span |
| class="feature-highlights-bg">edge computing</span> use cases. |
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| <i class="fas fa-check sp-color-green"></i> Data sinks for popular databases such as Elasticsearch and the ability to integrate Machine Learning models into data processors enable use cases such as<span |
| class="feature-highlights-bg">predictive analytics</span> and <span class="feature-highlights-bg">anomaly detection.</span> |
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| <h2 class="page-section-title">Applications</h2> |
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| class="feature-highlights-bg">Incident Detection</span></h5> |
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| <span>StreamPipes allows to immediately detect incidents you'd like to avoid. We support algorithms ranging from simple threshold-based tracking of sensor measurements over trend analysis over time periods up to the integration of custom-tailored predictive maintenance algorithms.</span> |
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| class="feature-highlights-bg">Data Harmonization</span></h5> |
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| <span>StreamPipes helps to create a clean data lake based on sensor measurements from machines and other assets. Various data harmonization algorithms (e.g., filters, aggregations and unit converters) allow to easily clean and enrich data in a continuous fashion.</span> |
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| class="feature-highlights-bg">Monitoring</span></h5> |
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| <span>See what's happening right now: Use StreamPipes as your real-time window into your current production performance. A live dashboard and a wide range of available notification channels allow you to monitor KPI's in a flexible and customizable manner.</span> |
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