This invention describes a system for monitoring and controlling Internet of Things (IoT) networks, specifically designed to detect performance issues and faults. It works by collecting data from critical IoT devices, which are manually selected by an expert. The system then uses pre-defined, human-created rules to analyze this data and generate alerts or control signals, rather than learning from data itself.
Why it matters: The system's reliance on manually defined expert rules was a major development hurdle in 2021. Today, more advanced AI and machine learning techniques could automate the creation and adaptation of these rules, making the system more scalable and less labor-intensive to configure for diverse IoT environments.
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