Relocation Alerts Using Geolocation for Disaster-Exposed Assets
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Solution Overview
Problem
Existing technologies face challenges in efficiently relocating valuable assets from impact areas during impending natural disasters, as large structures cannot be easily moved, and evacuation limitations force owners to leave assets behind, risking damage or destruction.
Innovation Solution
A data processing system and method that utilizes geolocation telematics to identify valuable assets within impact areas, compares this data with user profiles to alert responsible parties, and identifies safe relocation areas, enabling the transmission of relocation alerts and potentially automating the relocation process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If valuable assets are left in impact areas during natural disasters, then owners can evacuate with limited belongings, but assets risk damage or destruction from the disaster
Solution Approach 1:
The system performs preliminary identification of valuable assets in impact areas using geolocation telematics before the disaster strikes. By pre-mapping asset locations and comparing them with predicted impact zones, the system prepares relocation alerts in advance, enabling owners to evacuate assets before the disaster occurs rather than attempting to evacuate with limited time and resources.
Solution Approach 2:
The patent introduces an automated data processing system as an intermediary between asset owners and the disaster threat. This system uses geolocation telematics data, predicted impact area data, and automated comparison algorithms to identify assets at risk and generate relocation alerts, eliminating the need for owners to manually assess risks and make evacuation decisions under stress.
2Object-affected harmful factors
If large structures are attempted to be moved before a major storm, then assets may be protected from damage, but the structures cannot be easily moved due to their size and weight
Solution Approach 1:
Instead of attempting to move all assets equally, the system applies partial action by selectively identifying and alerting owners about only those valuable assets that are both at risk in the predicted impact area and feasible to relocate. The automated comparison of asset locations with impact zones allows prioritization of relocation efforts for assets that can be practically moved, rather than attempting to relocate all structures regardless of feasibility.
3Speed
If families evacuate with limited belongings, then they can leave the danger area, but they must leave valuable assets like vehicles behind
Solution Approach 1:
The system implements feedback by continuously monitoring asset locations via geolocation telematics and comparing them against predicted impact areas. This real-time or near-real-time feedback loop allows the system to generate timely relocation alerts that inform owners which assets are at risk, enabling them to make informed decisions about what to transport during evacuation based on current asset positions and threatened zones.
Data Source
AI summary
A data processing and relocation alerts system for processing data and provided relocation alerts is provided. The data processing and relocation alerts system includes at least one processor in communication with at least one database. The at least one processor is programmed to: (i) store profile data for registered users including at least a user identifier, contact data, at least one asset identifier, and an asset location; (ii) receive geographical location data for an impact area; (iii) store the impact area location data in the database; (iv) compare the impact area location data to the registered user profile data to identify the at least one registered asset located within the impact area; (v) retrieve contact information of impacted registered users based on the comparison; (vi) identify at least one safe area for relocation of the at least one registered asset; (vii) transmit a relocation alert using the contact information.