Emergency Data Interoperability for Legacy 9-1-1 Cloud Dispatch
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Solution Overview
Problem
Emergency networks face challenges in integrating legacy 9-1-1 telecommunications equipment with advanced next-generation capabilities, leading to inefficiencies in data flow and manual processes prone to errors in emergency response systems.
Innovation Solution
An interoperability apparatus and cloud-based emergency data management system (EDMS) that communicates with disparate systems within an emergency communications center (ECC), converting emergency data into data objects for enhanced mapping, dispatch, and reducing response times through data logging and analytics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If legacy 9-1-1 telecommunications equipment is integrated with next-generation capabilities, then emergency network functionality is improved, but system complexity increases
Solution Approach 1:
The interoperability apparatus serves as an intermediary component that bridges legacy 9-1-1 telecommunications equipment and next-generation emergency network systems. It includes a receiving interface that accepts data from legacy systems, a processor that converts legacy data formats to next-generation formats, and a transmitting interface that sends converted data to modern systems, thereby enabling integration without direct complex interconnection between incompatible systems
Solution Approach 2:
The interoperability apparatus is divided into distinct functional segments: a receiving interface module for data input from legacy systems, a processing module for format conversion, and a transmitting interface module for data output to next-generation systems. This segmentation allows each component to be optimized independently and simplifies maintenance and upgrading of individual modules
2Device complexity
If manual data entry processes are used in emergency response systems, then system simplicity is maintained, but error rates increase
Solution Approach 1:
The system replaces manual mechanical data entry processes with automated electronic data capture and conversion. The interoperability apparatus automatically receives data from legacy systems, processes it through format conversion, and transmits it to next-generation systems, eliminating the need for manual transcription and reducing human error while maintaining system operational simplicity
Solution Approach 2:
The interoperability apparatus performs self-service by automatically converting data formats without requiring manual intervention. The processor autonomously transforms legacy data formats into next-generation formats based on predefined conversion rules, and the system self-manages the data flow between legacy and modern components, reducing the need for complex manual configuration
3Adaptability or versatility
If data conversion between legacy and next-generation formats is implemented, then interoperability is improved, but processing time increases
Solution Approach 1:
The interoperability apparatus is pre-configured with conversion rules and protocols for multiple legacy and next-generation data formats. The processor contains pre-loaded translation tables and conversion algorithms that enable rapid format transformation without requiring real-time analysis or manual configuration, thereby reducing processing time while maintaining comprehensive interoperability
Solution Approach 2:
The data conversion process optimizes processing speed by changing key parameters such as data sampling rates, compression levels, and transmission protocols based on the specific type of emergency data being converted. The system dynamically adjusts conversion parameters to balance interoperability requirements with processing time constraints for different data categories
4Productivity
If cloud-based emergency data management system is deployed, then response efficiency is improved, but infrastructure complexity increases
Solution Approach 1:
The cloud-based emergency data management system provides universal functionality by consolidating multiple data management operations into a single centralized platform. It handles data reception, format conversion, storage, analysis, and distribution across diverse emergency response applications, replacing multiple separate systems and reducing overall infrastructure complexity despite the advanced capabilities provided
Data Source
AI summary
A method implements; obtaining emergency call data from one or more functional elements of an emergency communication center (ECC) by an interoperability apparatus; sending the emergency data from the interoperability apparatus to a cloud-based emergency data management system; converting a portion of the emergency data into a data object at the cloud-based emergency data management system; providing the data object to an instance of a cloud-based application provided by the cloud-based emergency data management system, where the instance is executed using a browser on a computer located at the ECC, and the data object updates a map view within a graphical user interface provided by the instance; and providing update data from the cloud-based emergency data management system to a computer-aided-dispatch system using the interoperability apparatus. The emergency data includes: ANI/ALI (Automatic Number Identification/Automatic Location Identification) data, call detail record (CDR) data, AVL (Automatic Vehicle Location) data, and voice data.