Structure Emergency Detection With Sensor-Driven Remediation Alerts

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Solution Overview

Problem

Conventional techniques for maintaining and monitoring structures lack the capability to detect emergency conditions promptly, leading to potential catastrophic damage and safety risks, especially during extreme weather events, as they rely on manual inspections and are often ineffective in identifying issues before they escalate.

Innovation Solution

A system and method that utilize sensors and machine learning models to detect emergency conditions within structures, determine necessary remediation services, and automatically contact service providers to mitigate damage, including proactive measures for impending catastrophic events, and provide users with alerts and recommendations through integrated devices like smart glasses or headsets.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If manual inspection techniques are used to monitor structure maintenance needs, then device complexity is reduced, but detection speed and reliability deteriorate leading to delayed emergency condition identification

Engineering Contradiction:
Improveemergency condition detection reliabilityVSAvoidmonitoring system complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The monitoring system is segmented into multiple independent sensor components (water leakage sensors, structural displacement sensors, temperature sensors, humidity sensors) that can be distributed throughout the structure. Each sensor monitors specific parameters independently, improving detection reliability without requiring a single complex centralized system.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The system enables automatic detection and notification of emergency conditions without requiring manual inspection. Sensors continuously monitor structure health parameters and automatically trigger alerts to property owners, eliminating the need for human inspectors while improving detection reliability.

Inventive Principle:
Principle #25Self-service

2Loss of time

If conventional maintenance scheduling is used without continuous monitoring, then system cost is reduced, but loss of time increases due to delayed detection of emergency conditions

Engineering Contradiction:
Improvetime to detect emergency conditionVSAvoidenergy consumption for continuous monitoring
Core Design Contradiction:
Loss of timeVSLoss of energy

Solution Approach 1:

The system uses periodic threshold comparisons where sensor readings are continuously taken but only trigger notifications when parameters exceed predefined thresholds. This periodic evaluation approach reduces energy consumption compared to continuous active monitoring while maintaining rapid detection capability for emergency conditions.

Inventive Principle:
Principle #19Periodic action

Solution Approach 2:

The system implements feedback loops where sensor data is continuously monitored and compared against safety thresholds. When emergency conditions are detected, the system provides immediate feedback through notifications to property owners, enabling rapid response while optimizing energy usage through event-driven communication rather than continuous data transmission.

Inventive Principle:
Principle #23Feedback

3Measurement precision

If comprehensive sensor monitoring is deployed throughout the structure, then measurement precision of emergency conditions improves, but device complexity and cost increase

Engineering Contradiction:
Improveemergency condition detection precisionVSAvoidsensor network complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

Different sensor types are strategically placed at critical locations within the structure based on specific risk profiles. Water leakage sensors are positioned near plumbing systems, structural displacement sensors are placed at load-bearing points, and temperature/humidity sensors are located in vulnerable areas. This localized sensor deployment achieves high measurement precision for emergency detection without requiring comprehensive coverage throughout the entire structure.

Inventive Principle:
Principle #3Local quality

Data Source

PatentUS20240169459A1Systems and Methods for Detecting Emergency Conditions Within Structures and Initiating Remediation Procedures
Publication Date: 2024.05.23 STATE FARM MUTAL AUTOMOBILE INSURANCE COMPANY
  • US20240169459A1 patent drawing
  • US20240169459A1 patent drawing
  • US20240169459A1 patent drawing

AI summary

Techniques for detecting emergency conditions within structures and initiating remediation procedures are disclosed herein. An exemplary computer-implemented method may include detecting, by one or more processors, an emergency condition within a structure; and determining, by the one or more processors, a set of remediation services corresponding to the structure based upon the emergency condition. The exemplary computer-implemented method may further include identifying, by the one or more processors, one or more remediation service providers to perform the set of remediation services; and generating, by the one or more processors, a remediation alert signal that includes contact information corresponding to at least one of the one or more remediation service providers. The exemplary computer-implemented method may further include transmitting, by the one or more processors, the remediation alert signal to a user computing device of a user associated with the structure.