Unified Operational Events

Overview#

The Unified Operational Events module provides a single queryable timeline of all operational activity across the platform. Every significant action -- sensor detections, engagement workflow transitions, mission status changes, alert triggers, entity updates, and analyst actions -- generates a structured event record that flows into a common timeline. With 24 event types from 21 source systems, the unified event layer eliminates the need to check individual modules for activity, giving commanders and analysts a complete chronological view of operations from a single interface.

Key Features#

Single Queryable Timeline#

All operational events are stored in a common schema with consistent fields: event type, source system, timestamp, geographic location (where applicable), associated entities, priority level, classification, and organisation scope. The timeline supports filtering by any combination of these fields, enabling queries such as "all high-priority events in this area in the last hour" or "all events related to this entity across all source systems."

24 Event Types, 21 Source Systems#

The event taxonomy covers 24 distinct event types including: sensor detection, track update, engagement proposal, engagement confirmation, engagement execution, battle damage assessment, drone mission transition, acoustic detection, COMINT intercept, COMINT threat assessment, video detection, high-value target alert, alert triggered, alert acknowledged, entity created, entity updated, entity linked, terrain analysis completed, communication pattern detected, geofence breach, mission status change, operator action, system health alert, and briefing published. Events flow from 21 source systems across the platform.

Causal Chain Tracking#

Events can reference parent events, creating causal chains that trace how an initial detection led to analysis, engagement, and assessment. For example, an acoustic detection event links forward to the triangulation result, which links to the engagement proposal, confirmation, execution, and BDA assessment. Analysts can traverse these chains in either direction -- from cause to effect, or from outcome back to initial trigger -- supporting after-action review and operational learning.

Temporal and Spatial Auto-Correlation#

The system automatically identifies events that are related by time and location, even when no explicit causal link exists. When multiple events occur within configurable time and distance thresholds, the system proposes a correlation group for analyst review. This surfaces connections that might otherwise be missed -- for example, an acoustic detection and a COMINT intercept occurring at similar times in the same area.

Entity Activity Timelines#

Filter the event stream to show all events associated with a specific entity (person, unit, vehicle, equipment), producing a complete activity timeline for that entity across all source systems. Entity timelines support intelligence analysis by revealing patterns of activity and correlating observations from different sensors and sources.

Priority-Based Filtering with Classification Controls#

Events carry both operational priority (critical, high, medium, low, informational) and security classification levels. The interface filters events based on the operator's clearance level, ensuring classified events are only visible to appropriately cleared personnel. Priority filtering enables watch officers to focus on critical events while still having access to the full timeline when needed.

Geographic Event Heatmaps#

Aggregate event locations into geographic heatmaps showing activity density across the area of operations. Heatmaps can be filtered by event type, time window, and priority to reveal patterns such as concentrations of acoustic detections (indicating persistent firing positions) or clusters of COMINT intercepts (indicating command post locations).

Use Cases#

• Watch Officer Situational Awareness - Monitor a real-time stream of all operational events filtered by area of responsibility and priority, identifying emerging situations without switching between individual module interfaces.
• After-Action Review - Trace complete causal chains from initial detection through engagement and assessment, reconstructing the decision timeline for operational learning.
• Intelligence Pattern Analysis - Use entity timelines and spatial correlation to identify activity patterns, track enemy routines, and detect anomalies.
• Commander Briefing - Filter the timeline to produce a chronological summary of significant events for a defined period and area, supporting battle rhythm briefings.
• Incident Investigation - Reconstruct a complete event sequence surrounding an incident by querying all events within a time and location window, regardless of source system.

Integration#

The Unified Operational Events module receives events from all platform modules:

• Acoustic Sensor Network - Detection and triangulation events.
• Effector Matching Engine - Engagement workflow transition events.
• Drone Operations Management - Mission lifecycle and deconfliction events.
• COMINT Analysis Pipeline - Intercept analysis and threat assessment events.
• Military Video Analytics - Detection and HVT alert events.
• GMTI Radar Monitoring - Track and mission activity events.
• Terrain Analytical Modeling - Analysis completion events.
• Stone Soup Sensor Fusion - Track fusion and update events.
• Tactical Awareness (TAK) - CoT event ingestion.
• Alert System - Alert trigger and acknowledgement events.
• Entity Knowledge Graph - Entity creation and update events.

GraphQL:

operationalEvents

eventCausalChain

entityTimeline

eventCorrelations

eventHeatmap

createOperationalEvent

linkEvents

correlateEvents

operationalEventStream

Last Reviewed: 2026-04-02