Geographic Event Monitoring via Cell Intersection Indexing
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Solution Overview
Problem
Current geographic event tracking systems are rigid and lack comprehensive mechanisms for monitoring, detecting, assessing, and notifying users of geographic events in a timely and intuitive manner.
Innovation Solution
A computer system and method for geographic event monitoring that includes receiving a data source with a geospatial description of an event from a distributed network of ETL servers, extracting and indexing the data into a common format, defining locations of interest, and notifying users of cell intersections between event data and LOIs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If geographic event tracking systems use rigid structures, then system complexity is reduced, but adaptability and comprehensiveness of event monitoring deteriorates
Solution Approach 1:
The system segments geographic events into distinct categories (natural disasters, accidents, crimes, etc.) with specific attributes and parameters. Each event type is handled through specialized processing rules, allowing the system to manage complexity through organized division while maintaining comprehensive monitoring capabilities across diverse event types.
Solution Approach 2:
The system implements a universal event tracking framework that can handle multiple types of geographic events through a common architecture. The standardized data structures, unified notification mechanisms, and general-purpose geographic indexing system provide multi-functionality, enabling the system to adapt to various event types without requiring separate specialized systems for each.
2Reliability
If the system implements comprehensive event tracking mechanisms, then monitoring capability is improved, but response time and processing speed deteriorates
Solution Approach 1:
The system performs preliminary geographic indexing of locations of interest and pre-configures notification rules and thresholds before events occur. This advance preparation allows the system to quickly match incoming event data against pre-indexed locations and pre-defined criteria, enabling comprehensive monitoring without sacrificing response time when actual events are detected.
3Measurement precision
If the system uses detailed geographic indexing, then detection precision is improved, but computational requirements and processing time worsens
Solution Approach 1:
The geographic space is segmented into a hierarchical grid structure with multiple levels of granularity. The system can selectively use finer grid resolutions in areas with high event density or importance while using coarser resolutions elsewhere, maintaining detection precision where needed while reducing overall computational burden through spatial segmentation.
Data Source
AI summary
A system, method, apparatus, and computer program product that provides geographic event monitoring, detection, assessment, and alert notifications. The system utilizes an extract, transfer and load data pipeline (named ETheL); an asset risk calculator (ARC) data pipeline for evaluating proximity of an asset to a geographic event; a Disaster Intelligence Communication Environment (DICE) which acts as the front-end of the platform; a COMS node providing a near-real time event alert system and a postGIS database used for persistence of events, locations, and calculations). Geographical indexing of the geographical description of event data with a designated location of interest (LOI) determines a cell intersection inhabited by each of an event and the LOI. Notifications may be programmed for each cell intersection. Mapping displays may be generated for showing the cell intersections with the LOIs.