Automated Disaster Alert Detection for Network Site Management
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Solution Overview
Problem
Current alert detection and management systems for disaster-related events are manual and time-consuming, making it difficult for BCP teams to accurately identify the impact of disasters on network operations and report this information promptly.
Innovation Solution
A system that automates the monitoring, managing, and reporting of disaster-related alerts, allowing for continuous updating and reporting of affected network sites based on geographic area information, and providing graphical reports on network site outages.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual alert detection and management is used, then system complexity is reduced, but productivity and response time deteriorate
Solution Approach 1:
The system enables automated self-monitoring and self-reporting of network site statuses during disasters. The apparatus automatically retrieves alerts, maps them to affected network sites, generates reports with graphical maps, and updates information without requiring manual intervention from BCP teams, thereby significantly improving productivity while the automation handles the complexity internally
Solution Approach 2:
The patent introduces an intermediary apparatus that acts as a bridge between disaster alert sources and network management systems. This intermediary automatically processes alerts, correlates them with network site data, and generates comprehensive reports, eliminating the need for manual coordination while improving response efficiency
2Loss of time
If manual monitoring of live alert details is performed, then information accuracy can be verified, but time consumption increases
Solution Approach 1:
The patent replaces manual mechanical processes of alert verification and impact assessment with automated electronic systems. The apparatus automatically retrieves alerts, cross-references them with network site databases, maps geographic impacts, and generates accurate reports instantly, eliminating time-consuming manual verification while maintaining precision through systematic automated processes
Solution Approach 2:
The system implements continuous feedback loops where alert information is automatically retrieved, processed, and correlated with network site statuses. The generated reports provide feedback on affected sites, and the system continuously updates this information, ensuring accurate and current data without manual intervention delays
3Productivity
If comprehensive reporting of affected network sites is generated manually, then report accuracy improves, but productivity deteriorates
Solution Approach 1:
The apparatus performs multiple functions within a single automated system: retrieving disaster alerts, mapping them to network sites, tracking site statuses, generating comprehensive reports with graphical maps, and updating information continuously. This multi-functional automation ensures complete information coverage while dramatically improving report generation speed compared to manual processes
Solution Approach 2:
The system pre-establishes correlations between geographic alert areas and network site locations, and pre-configures reporting templates with all necessary data fields. When disasters occur, the apparatus immediately queries pre-defined parameters and generates comprehensive reports without needing manual data collection, ensuring both completeness and speed
Data Source
AI summary
Provided are an apparatus, method, and device for managing disaster alert detection within a network. According to embodiments, the apparatus may be configured to: retrieve, based on a defined schedule, one or more event-related alerts via a method of procedure (MOP). The apparatus may also send, based on a first request from a user, the retrieved one or more event-related alerts to a management module having a graphical user interface (GUI) portal, wherein the first request may include a request to view the retrieved one or more event-related alerts.