Emergency Response System Using Distributed Edge Nodes
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Solution Overview
Problem
Current emergency response systems lack the capability to quickly and accurately gather and process information from multiple sources, leading to delays in mobilizing resources and responding to emergencies effectively, and they also struggle with providing customized and real-time information to users with varying roles and priorities.
Innovation Solution
The development of an integrated emergency response system utilizing modern telecommunication infrastructure, distributed cloud and edge computing, and efficient information processing techniques to gather, process, and present audio and video data from multiple sources, enabling a customized and real-time overview of emergency situations for users through a back-end and front-end system configuration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If emergency response systems use traditional centralized processing architecture, then system simplicity is maintained, but response time increases and real-time processing capability deteriorates
Solution Approach 1:
The patent divides the centralized emergency response system into distributed edge nodes deployed across multiple locations. Each edge node independently processes emergency data from its local area, segmenting the monolithic system into autonomous units that can simultaneously handle multiple emergencies, thereby reducing overall response time while managing complexity through modular design
Solution Approach 2:
The patent transitions from a two-dimensional centralized processing model to a three-dimensional distributed architecture where edge nodes operate at multiple hierarchical levels (local, regional, national). This dimensional expansion allows parallel processing across spatial dimensions, dramatically accelerating response time without proportionally increasing operational complexity
2Loss of information
If the system processes and customizes information for each user individually, then information relevance improves, but processing time and system complexity increase
Solution Approach 1:
The patent implements pre-configured user profiles with predefined information preferences, roles, and priorities before emergencies occur. During actual emergencies, the system retrieves and filters data based on these pre-established configurations, maintaining high information relevance while dramatically reducing real-time processing requirements and speed up information delivery
Solution Approach 2:
The patent dynamically adjusts information presentation parameters (level of detail, data format, priority weighting) based on user roles and emergency severity levels. This parameter-based customization allows the system to efficiently adapt information delivery to different users without requiring complex individualized processing for each emergency situation
3Loss of information
If the system integrates multiple information sources for comprehensive emergency data, then information completeness improves, but data processing complexity and time increase
Solution Approach 1:
The patent assigns different information gathering and processing capabilities to edge nodes based on their local characteristics and emergency types. Each edge node is optimized to handle specific data sources relevant to its jurisdiction (e.g., local sensors, regional databases, area-specific cameras), achieving comprehensive coverage through specialized local processing rather than uniform centralized handling of all data
Data Source
AI summary
Disclosed is a back-end system for emergency response, and a corresponding front-end system. The back-end system handles network communication to and/or from multiple information sources for gathering emergency response information from the information sources, including at least video data related to an emergency and/or security situation and additional emergency response information. The back-end system extracts subsets of information from the emergency response information at least partly based on input originating from one or more users and/or operators. The back-end system is configured to perform processing of the emergency response information to enable formation of a common overview of the emergency and/or security situation valid for different users/operators, while also enabling the emergency response information and/or extracted subsets thereof to be processed, compiled and/or filtered, and/or presented to a specific user and/or operator in a way that is customized for the specific user and/or operator of the emergency response system.