Emergency Data Platform for Accurate Landline and Mobile Location
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Solution Overview
Problem
Emergency service providers often receive inaccurate or incomplete location information from landline callers, limiting their ability to respond effectively to emergencies, while modern devices can generate highly accurate device-based hybrid locations that are not universally available.
Innovation Solution
An emergency response data platform (ERDP) integrates multiple data sources, including device-based hybrid locations from mobile devices and landline-based locations from ANI/ALI data providers, to provide comprehensive emergency data to service providers, enhancing situational awareness and response efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If carrier-estimated locations or verbal communication are used to provide location data to emergency service providers, then the system can handle all types of emergency calls including landline phones, but the location accuracy deteriorates especially for landline phones and situations where callers are unaware of their location
Solution Approach 1:
The system performs preliminary location detection using device-based hybrid location technology before the emergency call is established. Mobile devices automatically determine their location through GPS, Wi-Fi, and cellular triangulation methods prior to calling emergency services, so that accurate location data is already available when the call connects to the emergency service provider, eliminating the need for verbal location reporting.
Solution Approach 2:
The patent introduces an intermediary location determination system that acts between the mobile device and the emergency service provider. This intermediary system receives location data from multiple sources including GPS satellites, Wi-Fi access points, and cellular towers, processes this information through hybrid location algorithms, and provides the refined location data to emergency services, thereby improving accuracy without requiring changes to the emergency calling infrastructure.
2Measurement precision
If device-based hybrid locations from mobile devices are used to improve location accuracy, then location precision improves for mobile calls, but the system cannot provide location data for landline phones
Solution Approach 1:
The system implements a universal location determination framework that can handle multiple types of emergency calls through a single integrated platform. For mobile devices, it uses device-based hybrid location technology. For landline phones, it automatically falls back to alternative methods including analyzing call setup signaling data, using Automatic Location Identification (ALI) databases, and applying triangulation based on cellular tower information, thereby providing location services for all phone types through one system.
Solution Approach 2:
The system dynamically changes its operational parameters based on the type of emergency call received. When a mobile device call is detected, it activates high-precision device-based hybrid location algorithms. When a landline phone call is detected, it switches to parameter sets optimized for network-based location methods including ALI database queries and cellular triangulation, allowing the same system to adapt its behavior to different input conditions and maintain effectiveness across diverse scenarios.
3Loss of information
If multiple data sources are integrated to provide comprehensive location information, then location data completeness improves, but system complexity increases
Solution Approach 1:
The patent segments the location determination system into distinct functional modules: a primary location detection module that handles device-based hybrid location for mobile devices, a secondary location detection module that handles network-based methods for landline phones, and a data integration module that combines results from both sources. This segmentation allows each module to specialize in specific methods while the integration module manages the complexity of combining multiple data sources, making the overall system more manageable and maintainable.
Data Source
AI summary
Disclosed herein are methods, systems and GUIs for providing situational awareness about emergency incidents to emergency service providers (ESPs), for example, between different Public Safety Answering Points. In particular, the use of data indicators, notifications and banners can be used to provide a GUI rich in situational awareness for efficient emergency response.