Emergency Incident Detection Platform Data Standardization
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Solution Overview
Problem
Current communication systems for emergency and public incidents are slow, manual, and unreliable, leading to delays in critical actions during emergencies and overwhelming information for responders, and are fragmented, making it difficult for effective information dissemination.
Innovation Solution
A system and method that gather and verify data from heterogeneous sources, translate it into a standardized format, and provide real-time alerts and situational awareness to emergency services and the public through a graphical user interface, using a programmable circuit and memory storing computer-executable instructions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If data is gathered from multiple heterogeneous sources manually, then information completeness is improved, but communication speed and reliability deteriorate
Solution Approach 1:
The system segments information gathering from multiple heterogeneous sources into modular data collection components that automatically interface with different feed formats (social media, news outlets, emergency services databases). This segmentation allows parallel processing of diverse data streams without manual intervention, maintaining information completeness while eliminating time delays associated with manual collection.
Solution Approach 2:
The patent replaces the mechanical manual process of information gathering and analysis with an automated computer-based system that uses algorithms to collect, process, and analyze data from multiple sources in real-time. This substitution eliminates human response time limitations and enables continuous automated monitoring of emergency situations.
2Measurement precision
If individual reports are analyzed manually by emergency services personnel, then information accuracy is improved, but response time deteriorates
Solution Approach 1:
The system implements automated feedback loops where initial data analysis triggers additional data collection and verification processes. The system continuously refines incident assessments by comparing new information against existing data, providing automated accuracy verification that maintains high information quality while enabling rapid response through eliminated manual review bottlenecks.
Solution Approach 2:
The patent applies parameter changes by adjusting the level of automated analysis based on incident severity and data confidence levels. High-priority incidents receive intensified automated analysis with multiple verification passes, while lower-priority events use streamlined processing. This dynamic parameter adjustment maintains accuracy for critical incidents while optimizing overall response time across all incidents.
3Area of stationary object
If information is disseminated through fragmented communication channels, then communication coverage is improved, but communication effectiveness deteriorates
Solution Approach 1:
The system employs universal communication protocols and standardized data formats that enable seamless information dissemination across multiple heterogeneous channels (social media platforms, emergency alert systems, website databases, mobile applications). This multi-functionality allows the same verified information to be reliably distributed across all communication channels simultaneously, maintaining both wide coverage and high effectiveness.
Solution Approach 2:
The patent introduces a centralized information verification and distribution system that acts as an intermediary between data sources and communication channels. This intermediary consolidates information from multiple sources, verifies accuracy through automated analysis, and then reliably distributes standardized information packets across all communication channels, eliminating the fragmentation and inconsistency of direct multi-channel dissemination.
4Loss of information
If the volume of information from multiple sources is increased, then situational awareness is improved, but information processing complexity deteriorates
Solution Approach 1:
The system extracts and isolates critical incident-related information from large volumes of heterogeneous data using automated filtering algorithms. It identifies and extracts key parameters (incident location, type, severity, affected areas) while discarding irrelevant information. This extraction process maintains comprehensive situational awareness by focusing on essential data elements, thereby reducing processing complexity without losing critical situational context.
Data Source
AI summary
Methods and systems for providing an emergency incident response are described. Data is received from a plurality of heterogeneous data feeds each having a native format and including one or more publically-available data feeds. Event data is extracted from the received data, the event data representing one or more events from one or more of the plurality of heterogeneous data feeds, and the event data is translated from the native format into a standardized analysis format. Further, an existence and a priority level of at least one emergency incident contemporaneous with the event data and based at least in part on the event data is determined, the priority level being selected from among a plurality of predefined priority levels, and a graphical user interface including a message describing the at least one determined emergency incident is displayed.