3D Command and Control System for Dynamic Threat Prioritization
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Solution Overview
Problem
Current systems for situational awareness in operational areas, such as military bases or smart cities, face challenges in rapidly processing and reacting to diverse sensor data from various sources, necessitating advanced methods for real-time decision-making and threat response without human intervention.
Innovation Solution
A dynamic three-dimensional command and control system that processes heterogeneous sensor data to generate real-time 3D virtual visualizations, prioritizes operational sub-regions, and autonomously adjusts sensor configurations and resource allocation for effective threat detection and response, utilizing a network of edge devices and computing systems to integrate data from diverse sensors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If sensor fusion systems combine diverse sensor perspectives to improve decision-making, then measurement precision and situational awareness are improved, but device complexity and data processing requirements increase
Solution Approach 1:
The system segments the operational area into multiple three-dimensional sub-regions and assigns priority levels to each sub-region based on threat assessment. This segmentation allows the complex sensor fusion data to be organized into manageable spatial units, reducing the cognitive load on operators while maintaining comprehensive situational awareness across the entire operational area.
Solution Approach 2:
The system transitions from traditional two-dimensional map displays to three-dimensional virtual visualizations that represent operational sub-regions in spatial depth. This dimensional enhancement provides operators with intuitive depth perception and spatial relationships, improving situational awareness without requiring operators to process increasingly complex flat data representations.
2Productivity
If computer-based support processes and analyzes large volumes of sensor data, then productivity and decision-making speed are improved, but device complexity increases
Solution Approach 1:
The system performs preliminary automated processing of sensor data by generating three-dimensional visualizations and pre-assessing threat levels before operator review. This preliminary action filters and organizes raw sensor data into structured spatial representations with assigned priority levels, reducing the volume of unprocessed data that operators must evaluate while maintaining high productivity in data analysis.
3Speed
If the system provides real-time recommendations for rule of engagement, then response speed to threats is improved, but reliability and risk of improper responses increase
Solution Approach 1:
The system provides real-time feedback to operators through three-dimensional visualizations that highlight priority sub-regions and suggest rules of engagement based on analyzed sensor data. This feedback mechanism maintains reliability by presenting recommendations rather than autonomous decisions, allowing operators to review and validate system suggestions before execution, thus balancing rapid response capability with decision accuracy.
Data Source
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AI summary
An exemplary system for monitoring an operational area, includes a processor that receive plural data streams. Each data stream can include a different spatial characteristic of the operational area. The processor also generates a three-dimensional (3D) virtual visualization of the operational area based on observational perspectives associated with the data streams and their associated spatial characteristics and dynamically prioritizes operational sub-regions within the operational area based on the spatial characteristics. The processor generates a signal encoded with data for verifying the 3D virtual visualization of the operational area including the prioritized operational sub-regions.