Emergency Agent
Coordinates the incident investigation and determines the next operational step.
See how DNotifier can turn a potential leak event into an intelligent investigation and governed operational response.
The scenario demonstrates how a Physical AI architecture can connect a gas or SCADA event to asset intelligence, specialized AI agents, physical inspection, decision-making and operational workflows.
PHYSICAL EVENT
DNOTIFIER EVENT MESH
EMERGENCY AGENT
ASSET BRAIN
MISSION AGENT
DRONE / CAMERA
LEAK AI
DECISION
HSE
CONTROL
WORKFLOW
The demonstration follows a hypothetical industrial incident involving an elevated gas reading near a pipeline. DNotifier connects the event with the asset, retrieves context, coordinates specialized agents and determines what evidence and response may be required.
A gas sensor or operational system reports a reading that crosses a configured threshold.
An AI workflow retrieves the affected asset and relevant historical context.
A configured inspection workflow can request a drone, camera or other physical inspection capability.
This interface represents the type of event-driven operational workflow DNotifier is designed to orchestrate.
SENSOR_GAS_LEVEL_HIGHElevated gas reading detected.
PHYSICAL_EVENT_CREATEDOperational event created in DNotifier.
ASSET_CONTEXT_REQUESTEDRetrieve asset identity and history.
EMERGENCY_AGENT_ACTIVATEDIncident investigation workflow started.
INSPECTION_MISSION_REQUESTEDPhysical verification requested.
DRONE_INSPECTION_COMPLETEDInspection evidence received.
LEAK_ANALYSIS_COMPLETEDAI analysis completed.
RESPONSE_WORKFLOW_TRIGGEREDConfigured response workflow initiated.
The event is correlated with asset history and current evidence. Physical inspection is recommended before final incident classification.
The important part is not any individual AI model. It is the orchestration connecting the physical world, AI reasoning and operational systems.
A physical monitoring system produces an abnormal gas-related signal associated with a known operational area.
The event enters the Physical Event Mesh and becomes available to the appropriate AI workflow.
Asset Brain provides the affected asset's identity, location, history, previous findings and relevant evidence.
The Emergency Response Agent evaluates the situation and determines whether additional physical evidence is required.
A Mission Agent can coordinate the required inspection workflow using an available drone, camera or other physical data source.
The Leak Detection Agent evaluates the collected evidence according to the configured inspection workflow.
New evidence can be incorporated into the asset context and used by the configured risk workflow.
Depending on the result and governance policy, the workflow can notify operators, HSE teams or trigger additional operational actions.
A complex industrial incident does not need to be handled by one giant AI agent. Specialized agents can collaborate through DNotifier's event-driven orchestration layer.
Coordinates the incident investigation and determines the next operational step.
Evaluates asset-specific evidence and risk context.
Coordinates the physical inspection workflow.
Analyzes inspection evidence for potential leak conditions.
Physical AI should not assume every alert requires the same response. The outcome depends on evidence, asset context, confidence, risk and configured operational policy.
Evidence does not support a confirmed incident. Record the investigation, update the asset context and continue monitoring according to policy.
Evidence remains uncertain. Request another inspection, human review or additional sensor evidence.
The configured response workflow can escalate the incident to responsible operators and downstream systems.
Route significant safety findings and incident information to the appropriate HSE workflow.
Provide operators with incident status, evidence, asset context and AI recommendations.
Trigger the configured maintenance workflow when physical findings require intervention.
Connect response workflows to appropriate enterprise systems through configured integrations.
A Physical AI workflow should not end when the incident is closed.
New inspection evidence, findings and operational outcomes can become part of the asset's historical context. Future investigations can therefore begin with more information about what has happened previously.
DNotifier is intended to provide infrastructure for developers building event-driven Physical AI applications, agents and operational workflows.
Events can originate from sensors, cameras, drones and other physical-world systems.
Physical observations become events that can activate specialized AI workflows.
Asset Brain gives agents access to the history and operational context of the affected asset.
Specialized agents can collaborate around detection, inspection, risk and response.
Inspection capabilities such as drones or cameras can become tools within an operational workflow.
New evidence can update the asset context and influence subsequent decisions and workflows.
Additional answers focused specifically on the autonomous investigation and response workflow demonstrated on this page.
Explore how DNotifier connects physical data, AI agents, asset intelligence and operational workflows.