Ad Hoc Device Cluster for Emergency Communication Monitoring
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Solution Overview
Problem
Responders to emergency situations often lack access to relevant information exchanged between individuals involved in the situation, which can hinder their ability to make informed decisions.
Innovation Solution
The system facilitates the formation of an ad hoc cluster of devices to receive and analyze communication data based on device location during an emergency, allowing responders to access pertinent communications from individuals involved in the situation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If responders monitor all device communications during an emergency, then information availability improves, but system complexity and resource consumption increase
Solution Approach 1:
The system extracts and monitors only specific communication data relevant to emergency situations from the ad hoc network, rather than monitoring all communications. The emergency communication monitoring system selectively captures communications based on emergency context, filtering out irrelevant data while maintaining comprehensive surveillance of critical information exchanges among responders and affected individuals.
Solution Approach 2:
The ad hoc network infrastructure serves multiple functions simultaneously: it enables emergency communications, provides location services, and facilitates information sharing among responders and civilians. The system integrates these diverse communication needs into a unified network framework, allowing the same network infrastructure to support various emergency response operations without requiring separate dedicated systems.
2Loss of information
If the system monitors communications from all devices in the area, then information completeness improves, but data processing load and time consumption increase
Solution Approach 1:
The system applies different monitoring strategies to different devices and communication types based on their relevance to the emergency. High-priority communications from first responders and critical infrastructure operators receive intensive real-time monitoring, while lower-priority civilian communications receive lighter monitoring. This differentiated approach ensures complete capture of critical information while reducing processing overhead for non-essential data.
Solution Approach 2:
The system pre-identifies and prioritizes communication channels and devices that are most likely to contain critical emergency information before the emergency fully unfolds. By pre-establishing monitoring priorities based on device roles, location, and communication patterns, the system is prepared to rapidly process and analyze relevant communications as the emergency develops, reducing real-time processing delays.
Data Source
AI summary
The disclosed technology is directed towards presenting communications data to a responding entity that are relevant to an emergency situation at an emergency location. The communications data can be obtained from communications (e.g., text messages, transmitted video, voice calls and the like) that involve at least one user device at the situation, including communications that do not involve the responding entity. Users may opt in to such an emergency service to allow access to their communications, whereby their device locations are tracked and known in the event of an emergency. Upon obtaining the communications data, a responder can receive a view of the scene augmented with the communications data. The view can include a three-dimensional and/or two-dimensional representation of the zone/area of the emergency situation. Filtering can be used to eliminate irrelevant communications, and summarization can be used to combine generally redundant communications.