Emergency Alert Server Filtering Social Media Data
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Solution Overview
Problem
Social media platforms generate overwhelming volumes of data during emergency events, leading to inefficient use of computing resources, network bandwidth, and server load, as existing systems struggle to effectively manage and transmit relevant alerts to devices.
Innovation Solution
A system comprising a server and computing devices that process social media records to generate control signals based on proximity and severity metrics, transmitting alerts only to devices that meet specific thresholds, thereby conserving resources by filtering out non-relevant data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If all social media records representing emergency events are transmitted to all devices, then complete information coverage is achieved, but network bandwidth and computing resources are overwhelmed
Solution Approach 1:
The patent applies local quality by transmitting alerts selectively to specific devices based on their proximity to the event location and individual threshold settings, rather than uniformly to all devices. The server determines which devices receive alerts based on location-based proximity metrics and device-specific thresholds, optimizing network bandwidth usage while ensuring relevant devices receive complete information.
Solution Approach 2:
The patent changes the parameter of alert transmission from a binary all-or-nothing approach to a graded approach based on proximity metrics and severity thresholds. Devices receive alerts only when the combined metric of event severity and device proximity exceeds their individual threshold, creating a parameter-based filtering mechanism that reduces unnecessary data transmission.
2Loss of energy
If proximity-based filtering is applied to reduce alert transmission, then network efficiency improves, but some relevant alerts may be missed
Solution Approach 1:
The patent implements feedback by allowing devices to communicate their threshold settings to the server, which then uses this information to determine alert transmission decisions. The server continuously evaluates the combined metric of event severity and device proximity against device-specific thresholds, creating a feedback loop that ensures alerts are transmitted only when truly necessary while maintaining high reliability.
Solution Approach 2:
The patent applies dynamics by making the alert transmission decision process adaptive and flexible. Rather than using fixed geographic zones, the system dynamically evaluates each alert against device-specific thresholds and proximity metrics, allowing the filtering criteria to adjust based on individual device preferences and event characteristics.
3Loss of information
If all devices receive all alerts, then user awareness is maximized, but device processing load increases
Solution Approach 1:
The patent extracts and removes unnecessary alert data from the transmission stream by filtering out alerts that do not meet device-specific thresholds. Instead of transmitting all alerts to all devices, the server extracts only the relevant subset of alerts for each device based on proximity and severity criteria, significantly reducing device processing load while maintaining user awareness of relevant events.
4Loss of information
If comprehensive alert transmission is implemented, then information completeness is maintained, but server load increases
Solution Approach 1:
The patent applies partial action by transmitting only the necessary portion of alerts to each device rather than all alerts to all devices. The server performs partial processing by evaluating each alert against device-specific criteria and transmitting only when the combined metric exceeds the threshold, reducing server processing power requirements while maintaining information completeness for relevant devices.
Data Source
AI summary
A system and method are provided for the management of electronic data representing emergency alerts. The system includes a server that receives social media data records representing an emergency event and computes a corresponding severity metric. If the severity metric exceeds a threshold, the server transmits a control signal from a server to a computing device. The control signal can cause the computing device to control an alarm system, vehicle navigation system, automated email system, user interface, or automated messaging system.