Grid-Based Disaster Monitoring for Precise Sensor Location Mapping
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Solution Overview
Problem
Current disaster management platforms face challenges in accurately specifying the accident point and efficiently managing various sensors, requiring separate sensor object modeling and real-time registration, management, and analysis systems.
Innovation Solution
A grid-based multidimensional space is used to register and manage sensors, creating grid-based data that integrates spatial information, disaster information, and sensor data to monitor disaster situations effectively.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If spatial information based on address or coordinates is used to specify disaster location, then the system can manage disaster information, but the accuracy of specifying the accident point is limited
Solution Approach 1:
The patent divides the continuous spatial space into discrete grid cells with unique identifiers. Each grid cell represents a specific geographic area, allowing precise location identification without relying on complex address systems or coordinate transformations. This segmentation enables accurate accident point specification by mapping events to specific grid cells.
Solution Approach 2:
The grid-based spatial information system serves multiple functions: it identifies accident locations, manages sensor placements, tracks disaster scope, and supports risk assessment. This universal spatial framework replaces multiple separate systems (address-based, coordinate-based, sensor-specific) with a single unified grid system.
2Adaptability or versatility
If separate sensor object modeling is implemented to manage various sensors, then sensor management becomes systematic, but the system complexity increases
Solution Approach 1:
The patent creates a unified sensor object model that can represent different types of sensors (rainfall, temperature, location, etc.) through a common interface and data structure. This universal model enables systematic management of diverse sensors without requiring separate management systems for each sensor type.
Solution Approach 2:
The sensor object model incorporates type-specific attributes and functionalities while maintaining a common structure. Each sensor can have specialized properties relevant to its function (e.g., measurement range, calibration parameters) while being managed through the same systematic framework.
3Productivity
If real-time registration, management, and analysis system is implemented, then disaster response efficiency improves, but the system requires more complex infrastructure
Solution Approach 1:
The patent pre-establishes the grid-based spatial framework and sensor object models before disasters occur. This preliminary setup allows the system to immediately process and analyze sensor data in real-time during disasters without requiring complex on-the-fly system configuration or initialization.
Data Source
AI summary
A system for managing a disaster based on a grid and an operating method of the system are disclosed. The operating method includes generating one or more models respectively corresponding to one or more sensors, acquiring and storing one or more of one or more pieces of sensing information sensed by the one or more sensors, event information determined based on the one or more pieces of sensing information, and status information of the one or more sensors, in the one or more models, based on multidimensional spatial information based on a grid on which the one or more sensors are disposed, information stored in the one or more models, and disaster information related to the multidimensional spatial information, creating grid-based data to monitor a disaster situation associated with the information stored in the one or more models and/or the multidimensional spatial information, and outputting the created grid-based data.