Introducing Triggers: Edge-Based Automation for Real-Time Control

We're excited to announce Triggers, a powerful new Edge Server capability that enables automated command execution based on real-time device conditions—without requiring cloud connectivity.

What Are Triggers?

Triggers allow you to define conditional logic that automatically executes commands when specific conditions are met. When a trigger condition transitions from false to true, the Edge Server immediately writes a configured value to a designated command variable.

Key Benefits

Instant Response Times
Execute critical actions at the edge with millisecond-level response times. No round-trip to the cloud required.

Reliable Automation
Triggers continue operating even during network outages, ensuring your critical automations never miss a beat.

Flexible Configuration

• Define complex boolean conditions using any device variable

• Configure different actions for condition ON vs OFF states

• Set optional re-execution intervals for continuous operation

• Enable or disable triggers without deleting them

Common Use Cases

• Safety Systems: Automatically shut down equipment when parameters exceed safe limits

• Process Control: Start pumps when tank levels drop, activate cooling when temperatures rise

• Equipment Protection: Trigger emergency stops on fault detection or overload conditions

• Heartbeat Signals: Send periodic keepalive signals while systems are running

The new Data Processors feature brings powerful real-time computation capabilities directly to the ControlCom Edge Server, version 2.7.0

Value Transforms modify incoming sensor data on-the-fly using mathematical expressions before publishing—ideal for unit conversions, scaling factors, or threshold-based type conversions. Each transform is ranked, allowing multiple operations to chain together for complex processing pipelines.

Virtual Variables take this a step further by enabling computed values that don't exist in the physical data source. By referencing multiple real variables in an expression (e.g., device_var1 + device_var2), you can create derived metrics like totals, averages, or conditional flags—calculated and published alongside raw data.

Both features support numeric, boolean, and string return types, with graceful error handling that logs issues without disrupting data flow. The result: faster, smarter edge intelligence.