Methods and systems for detection in an industrial Internet of Things data collection environment with intelligent data management for industrial processes including sensors

This invention describes a system for monitoring industrial environments by collecting data from various sensors. It analyzes the incoming sensor data to intelligently decide how to best continue collecting more data, selecting from pre-stored plans. Specifically, the system uses a delta-sigma analog-to-digital converter for high-quality data acquisition and can adjust data collection by altering auto-scaling values based on its analysis.

Why it matters: Filed before edge AI and machine learning became widely accessible for real-time industrial data analysis. These advancements could now significantly enhance the system's adaptive data collection and auto-scaling logic.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedCustom electronics, sensors, software logic for adaptive control.

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