IoT Fire Monitoring and Auto-Extinguishment for Faster Urban Response
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Solution Overview
Problem
Urban fires pose challenges due to rapid spread and inefficiencies in response and resource utilization, necessitating improved firefighting efficiency and disaster management in densely populated areas.
Innovation Solution
A system and method utilizing an IoT large model for smart city firefighting, including emergency monitoring, data processing, and automatic extinguishment through controlled extinguishment devices, with parameters determined by emergency control signals for targeted fire suppression.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If manual monitoring is used for fire detection, then system complexity is reduced, but response speed and accuracy deteriorate
Solution Approach 1:
The system enables automatic fire detection and extinguishment through self-service mechanisms. Sensors automatically detect fire parameters (temperature, smoke concentration), the processor automatically analyzes data and determines fire location, and the extinguishment device automatically activates without human intervention, achieving rapid response while maintaining manageable system complexity through automation
Solution Approach 2:
The patent replaces manual monitoring mechanisms with electronic and optical detection systems. Sensors substitute human observers, electronic processors substitute human analysis, and automated control systems substitute manual decision-making, thereby increasing response speed while keeping system complexity within acceptable bounds through standardized electronic components
2Productivity
If fire detection accuracy is improved, then resource utilization efficiency is improved, but measurement precision requirements increase system complexity
Solution Approach 1:
The system divides the monitoring area into multiple zones with distributed sensors. Each sensor monitors local fire parameters independently, and the processor integrates data from multiple segments to achieve accurate fire location identification. This segmentation improves resource utilization by targeting extinguishment to specific zones while maintaining detection accuracy through distributed measurement points
Solution Approach 2:
The processor acts as an intermediary that receives raw data from multiple sensors, applies algorithms to determine fire location and intensity, and translates this information into precise control signals for the extinguishment device. This intermediary layer enables accurate fire detection and resource allocation without requiring each individual sensor to have extremely high precision
3Loss of time
If automatic extinguishment is implemented, then response speed is improved, but device complexity increases
Solution Approach 1:
The extinguishment device is pre-positioned and pre-configured in the monitoring area before fire occurs. Sensors and control systems are installed in advance, and the system is pre-programmed with extinction algorithms. When fire is detected, the pre-positioned system activates immediately without requiring complex real-time decision-making or manual setup, reducing response time while keeping operational complexity manageable
Solution Approach 2:
The system implements closed-loop feedback where sensors continuously monitor fire parameters, the processor analyzes changes in real-time, and the extinguishment device adjusts its operation based on feedback from the sensors. This feedback mechanism enables automatic response with reduced time delay while managing complexity through standardized control loops and sensor-integrator-actuator architectures
Data Source
AI summary
Disclosed is a system and method for smart city firefighting and automatic extinguishment based on an Internet of Things large model. The system includes an emergency monitoring and management platform configured to: obtain emergency monitoring data; determine emergency monitoring data for a protection region based on the emergency monitoring data and regional characteristic data; determine, based on the emergency protection data, an emergency control parameter, the emergency control parameter including a protection activation condition, an extinguishment target, and a protection-extinguishment parameter; send, based on the emergency control parameter, an extinguishment control signal to an extinguishment device installed in the protection region through an emergency monitoring sensing network platform to drive the extinguishment device to perform emergency extinguishment by the emergency control parameter.


