Real-time measurement and system monitoring based on generated dependency graph models of system components

This invention describes a computer program that helps users understand how different parts of a system affect each other. Users draw connections between various measurements, like how one sensor reading might depend on another, and this input helps the computer learn these relationships. The system then builds a dynamic display that shows these connections and how they change over time, specifically focusing on generating a user interface based on these user-defined relationships.

Why it matters: Since 2018, advancements in graph database technologies and graph neural networks have made modeling and learning complex system dependencies more efficient and powerful. Cloud-based real-time data processing platforms have also matured, simplifying the collection and analysis of diverse machine data.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedHeavy software system, machine learning, data pipelines

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