Automated Emergency Test Call Validation System
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Solution Overview
Problem
The manual process of E911 call validation is time-consuming and inefficient, requiring E911 subject matter experts and taking around five days to complete, which is unacceptable for bringing public safety access points online with new cellular equipment.
Innovation Solution
An automated emergency test call management system that includes a cellular network, a testing device, and a server with a processor to schedule and validate test calls to public safety access points, eliminating the need for manual expert validation and providing real-time or near real-time data analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If manual E911 call validation process is used with subject matter experts, then validation accuracy is maintained, but deployment time increases to five days
Solution Approach 1:
The patent replaces the manual mechanical process of expert validation with an automated electronic system. The automated validation system uses software to perform call validation tests, compare results against expected outcomes, and generate reports without human intervention, thereby reducing deployment time from five days to hours while maintaining validation accuracy through systematic automated checking.
Solution Approach 2:
The system enables self-service validation by automatically performing test calls, analyzing results, and determining pass/fail outcomes without requiring expert personnel. The automated system serves itself by scheduling tests, executing validation protocols, and generating documentation independently, eliminating dependency on manual expert resources.
2Productivity
If automated validation system is implemented, then deployment speed increases, but system complexity increases
Solution Approach 1:
The automated validation system is designed as a multi-functional platform that can validate multiple cell sites, sectors, and call types through a single unified interface. The system handles scheduling, test execution, data collection, analysis, and reporting within one integrated architecture, improving productivity without proportionally increasing complexity by consolidating functions.
Solution Approach 2:
The system manages complexity by parameterizing validation configurations, allowing different test scenarios, time schedules, and validation criteria to be defined through configurable parameters rather than hard-coded complex logic. This enables high productivity through flexible parameter adjustment while keeping the underlying system architecture relatively simple and maintainable.
3Ease of operation
If manual validation process is used, then expertise knowledge is applied, but operational simplicity decreases
Solution Approach 1:
The system introduces an intermediary automated validation engine that bridges the gap between simple operation and reliable validation. This intermediary layer encapsulates complex validation logic and expertise knowledge within automated algorithms, allowing users to operate the system simply through standardized interfaces while the intermediary ensures reliable, consistent validation outcomes through systematic automated checking.
Solution Approach 2:
The system copies and codifies expert validation knowledge into automated validation rules and algorithms. By translating manual expert judgment criteria into programmable validation logic, the system maintains the reliability of expert-level validation while achieving operational simplicity through automated execution, eliminating the need for users to possess specialized expertise.
Data Source
AI summary
A method includes generating a test call from a user device to a public safety access point, wherein the test call is generated on a schedule, wherein the test call is configured to test call parameters, and wherein the test call parameters comprise a planned base station site and a planned base station sector, acquiring call detail data associated with the test call, in which the call detail data includes an identification of an actual base station site and an actual base station sector used for the test call and the public safety access point receiving the test call, and wherein the actual base station site collects the call detail data, determining whether the call detail data matches the test call parameters, and generating a pass or fail determination based on the determining step.