Automated Bulk Location-Based Actions for Disaster Response
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Solution Overview
Problem
Existing property monitoring systems lack efficient mechanisms to quickly respond to disaster events by automatically defining zones and performing bulk actions across multiple geographic locations, leading to delayed or inadequate responses to natural disasters or security threats.
Innovation Solution
A computer-implemented method that uses a monitoring server to define zones based on geographic locations, configure preferences for each zone, detect disaster events, and generate alerts with assessment reports, allowing for automatic arming of security protocols and performing bulk actions across affected properties.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If property monitoring systems manually monitor each location individually, then detailed monitoring coverage is achieved, but response time to disaster events is delayed
Solution Approach 1:
The system divides the monitored property into multiple geographic zones with distinct disaster risk profiles. Each zone can be independently configured with specific disaster types and response preferences, enabling targeted monitoring and faster localized response without requiring manual intervention at each individual sensor location.
Solution Approach 2:
The system performs preliminary configuration by pre-defining zones, disaster types, and response preferences before disasters occur. When a disaster event is detected, the system automatically executes pre-configured response actions, eliminating manual response time and enabling immediate automated reactions to disasters in affected zones.
2Productivity
If automated bulk actions are implemented across multiple zones, then response efficiency is improved, but control precision over individual properties is reduced
Solution Approach 1:
Each zone is configured with local quality characteristics including specific disaster types, sensor selections, and response preferences tailored to that zone's unique requirements. This allows automated bulk actions to be executed with zone-specific precision, maintaining control accuracy while achieving efficiency through automation across multiple zones.
3Measurement precision
If comprehensive sensor data collection is performed across all properties, then assessment accuracy is improved, but data processing time increases
Solution Approach 1:
The system extracts and collects only the sensor data relevant to each zone's configured disaster types and risk profiles. By filtering out unnecessary data collection and focusing on zone-specific parameters, the system maintains high assessment accuracy for each zone while significantly reducing overall data processing time and computational burden.
Data Source
AI summary
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for automating bulk location-based actions in response to disaster events. A system obtains data defining zones related to different geographic locations and configures a set of preferences for each zone. One of the preferences is a command for responding to an event. The system detects a disaster event and determines that a location affected by the event is related to a zone defined at the system. The system obtains sensor data generated by a sensor in the zone that is connected to a monitoring system for the zone. The system generates an alert based on the sensor data and the command and provides the alert to a client device of an entity that manages properties in the zone. The alert provides an assessment of how the disaster event affects items at properties in the zone.