OptOps Model-Network

The Hidden Value in Your Data

A largely untapped resource in industrial monitoring is what each data stream tells us about others through inference. Your facility generates thousands of signals, and they don't exist in isolation. They're connected by causal relationships, shared subsystems, physical proximity, and countless other factors.

Human operators develop an intuitive understanding of these relationships over time. They know that when signal A changes, signal B should follow. They build expectations that help them spot problems the moment something doesn't behave as expected. This knowledge is invaluable, but it lives in people's heads, not in your monitoring systems.

The OptOps Model-Network changes that. By codifying the relationships between data streams, we give AI the same contextual understanding that experienced operators have, enabling insights that would be unreachable from raw data alone.

Key Features

Relationship Mapping

Build a comprehensive network of how your data streams relate to each other. Capture causal links, correlations, groupings by subsystem, physical location, sensor type, and any other relationship that matters to your operations.

Quantitative Models

Define mathematical relationships between signals using calculations and machine learning models. These quantitative links allow precise prediction of expected behaviour, making deviations immediately apparent.

Qualitative Descriptions

Not all relationships can be captured in equations. The Model-Network also stores worded descriptions of how signals relate, capturing the nuanced understanding that experienced operators bring to their work.

AI Expectations

The Model-Network informs the AI's understanding of how your facility should behave. When the AI investigates an anomaly, it draws on this knowledge to understand what's normal and what's surprising.

Cross-Signal Insights

Draw insights that would be impossible from individual signals alone. Understand how changes propagate through your systems, identify upstream causes of downstream effects, and spot patterns across related data streams.

Layered Knowledge

Build up knowledge incrementally. Start with the most important relationships and expand over time. The Model-Network grows with your understanding, becoming more valuable as more connections are documented.

Types of Relationships

Causal

Signal A directly causes changes in Signal B. Understanding causal relationships allows the AI to trace effects back to their root causes and predict downstream impacts of upstream changes.

Correlated

Signals that tend to move together, even if one doesn't cause the other. These correlations help identify when something unusual is happening across multiple related measurements.

Grouped

Signals that belong together by subsystem, physical location, sensor type, or operational function. Groupings help the AI understand the structure of your facility and focus attention appropriately.

Derived

Signals that are calculated from others. The Model-Network tracks these dependencies so the AI understands which raw measurements feed into which derived values.

Why It Matters

Traditional monitoring systems treat each data stream as independent. They can tell you when a signal goes out of range, but they can't tell you whether that change makes sense given what's happening elsewhere in your facility. They lack context.

The Model-Network provides that context. When the AI sees an unusual reading, it doesn't just check whether the value is within bounds. It checks whether the value makes sense given all the related signals, the known relationships between them, and the current operating state of the facility.

This is how experienced operators think. They don't look at signals in isolation; they consider the whole picture. The Model-Network gives AI that same capability, enabling smarter anomaly detection, faster root cause analysis, and more accurate predictions about system behaviour.

Ready to Unlock the Hidden Value in Your Data?

Get in touch to learn how the OptOps Model-Network can transform your facility's AI capabilities.