Emergency Callback Routing Using Signal Coverage Data
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Solution Overview
Problem
Conventional methods for handling emergency calls in large-scale incidents face challenges due to signal coverage issues and antenna overload, leading to abandoned calls and inefficient callback processes, especially in rural areas during peak periods.
Innovation Solution
A method and system utilizing a bot to detect abandoned emergency calls, guide users to locations with better signal coverage, and manage antenna overload by reserving slots for callbacks, using signal data from network carriers and monitoring network capabilities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If agents manually place callbacks to callers with signal issues, then callback functionality is provided, but time is wasted and callbacks may fail due to signal coverage problems
Solution Approach 1:
The system enables automated callback functionality where the bot independently detects abandoned calls, analyzes signal coverage data, determines optimal callback timing, and executes callbacks without requiring manual agent intervention for each call
Solution Approach 2:
The system performs preliminary analysis of signal coverage data and network conditions before attempting callbacks, pre-identifies suitable time slots when antenna overload is avoided, and prepares callback sequences in advance to maximize success rates
2Productivity
If infrastructure capacity is increased to handle peak periods, then more users can be served, but infrastructure cost and complexity increase
Solution Approach 1:
The system dynamically adjusts callback timing and routing based on real-time network conditions and antenna capacity, optimizing the use of existing infrastructure resources rather than requiring static over-provisioning for peak loads
Solution Approach 2:
The system changes operational parameters such as callback timing, frequency, and target selection based on network conditions and signal coverage data, allowing efficient utilization of existing infrastructure under varying load conditions
3Ease of operation
If callbacks are attempted during antenna overload periods, then callback functionality is provided, but callbacks fail due to network overload
Solution Approach 1:
The system continuously monitors network conditions and antenna capacity status, using this feedback information to dynamically adjust callback timing and avoid periods when the antenna is overloaded, thereby improving callback success rates
Data Source
AI summary
A method and a system for efficient callback functionality can utilize signal coverage data. For example, a computer-implemented method can be configured to allow an emergency call taker to perform successful callbacks in case of abandoned emergency calls due to signal coverage and/or antenna overload issues in a location.


