Remote Sensor Network for Catastrophe Detection
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Solution Overview
Problem
Current public emergency detection and reporting systems are not optimized for detecting and responding to catastrophic events effectively, with incomplete data coverage and lack of publicly available data in a useful format, leading to inefficiencies in event detection and response.
Innovation Solution
A computer-implemented method using a remote sensor network that receives and analyzes data from sensors installed in and around structures, compares it against established thresholds, and generates automated responses to catastrophic events, optimizing data gathering and response efficiency through private sensor networks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If public emergency detection systems are used, then public safety alert notification is achieved, but data coverage is incomplete and data availability in useful format is limited
Solution Approach 1:
The patent segments the sensor network into multiple distributed sensors positioned throughout the geographic area, with each sensor independently collecting data. This segmentation allows comprehensive coverage of the area while maintaining system reliability, as each sensor contributes to the overall detection capability without requiring complete dependency on a single centralized system.
Solution Approach 2:
The patent implements a universal sensor network that serves multiple functions: it detects catastrophic events, collects environmental data, and provides information in various useful formats. The same sensor infrastructure supports diverse detection needs (fire, flood, earthquake, etc.) rather than requiring separate specialized systems for each event type.
2Productivity
If public emergency systems are used, then alert notification is provided, but response efficiency is reduced due to incomplete data
Solution Approach 1:
The patent implements preliminary action by having sensors continuously collect and store data before catastrophic events occur. The system maintains ready-to-analyze data sets and pre-established thresholds, enabling immediate detection and response when events happen, thus eliminating data collection delays and accelerating the response timeline.
Solution Approach 2:
The patent incorporates feedback mechanisms where sensor data is continuously analyzed against established thresholds, and the system automatically adjusts data collection patterns based on detected conditions. This feedback loop enables real-time optimization of data gathering, improving detection speed while maintaining accuracy through iterative refinement of the response based on incoming data.
Data Source
AI summary
A computer-implemented method for generating an automated response to a catastrophic event, that includes (1) analyzing a sample set of data generated in association with a catastrophic event to determine a threshold pattern; (2) receiving, with customer permission or affirmative consent, home sensor data from a smart home controller via wireless communication or data transmission, the home sensor data including data regarding at least one of (i) structural status; (ii) wind speed; (iii) availability of electricity; (iv) presence of water; (v) temperature; (vi) pressure; and/or (vii) presence of pollutants in the air and/or water; (3) determining, based upon or from computer analysis of the home sensor data, whether the home sensor data indicates a match to the threshold pattern; and (4) automatically generating a response if the home sensor data indicates a match to the threshold pattern. As a result, catastrophic events and responses thereto may be improved through usage of a remote network of home sensors.