Fire Prevention System with Predictive Fire Index Visualization
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Solution Overview
Problem
Existing fire detection systems only notify users after a fire has occurred, leading to potential delays in response that can increase casualties and property damage.
Innovation Solution
A fire prevention system utilizing sensors that communicate via radio frequency, a digital twin calculation unit, and a server that calculates a fire index and provides a visual evaluation tool to predict fire risk and facilitate timely responses.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional fire sensors are used to detect fire occurrence, then fire detection capability is provided, but response time is delayed causing loss of golden time
Solution Approach 1:
The system performs preliminary action by calculating a fire index that predicts the likelihood of fire occurrence before actual fire detection. Multiple sensors detect precursors (heat, smoke, gas, flame) and the server computes probability scores in advance, enabling preventive alerts before the fire event fully develops, thus capturing the golden response time.
2Reliability
If fire risk prediction is implemented using multiple sensors and digital twin technology, then fire prevention capability is improved, but system complexity increases
Solution Approach 1:
The system segments the fire prevention functionality into distinct modular components: multiple first sensors for fire parameter detection, multiple second sensors for facility state monitoring, a digital twin calculation unit for virtual modeling, a big data receiving unit for external data integration, and an evaluation tool calculation unit for risk assessment. This segmentation allows each component to perform its specific function independently, managing overall system complexity through functional decomposition.
Solution Approach 2:
The server acts as an intermediary that receives data from multiple sensors, integrates it with big data from external sources, and processes it through the digital twin calculation unit. The server mediates between the complex sensor network and the user interface, simplifying the overall system architecture by centralizing data processing and decision-making logic.
3Measurement precision
If fire index calculation integrates multiple data sources including big data, then prediction accuracy is improved, but information processing complexity increases
Solution Approach 1:
The information processing is segmented into distinct functional units: the digital twin calculation unit handles virtual facility modeling, the big data receiving unit manages external data integration, and the fire index calculation unit computes the final risk score. Each unit processes specific types of data independently, reducing the complexity of integrating multiple data sources while maintaining prediction accuracy.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The system allows for early detection and visualization of fire risk, enabling users to take appropriate actions within the 'golden time', thereby reducing casualties and property damage.
Implementation Method 1
a plurality of first sensors, each first sensor generating fire information by detecting at least one of heat, smoke, flame, and gas
Implementation Method 2
that perform radio frequency (RF) communication with each other
Implementation Method 3
a plurality of second sensors that are placed in an external facility and generate facility information by measuring a state of the facility
Data Source
AI summary
A fire prevention system according to an embodiment of the present invention may include a plurality of first sensors that generate fire information and perform radio frequency (RF) communication with each other, a plurality of second sensors, and a first server that performs the RF communication with the plurality of first sensors and the plurality of second sensors, and the first server may include a digital twin calculation unit, a big data receiving unit that receives big data from an external second server, a server memory, a server communication unit, an area classification unit that divides information into a plurality of portions, a fire index calculation unit that calculates a fire index, and an evaluation tool calculation unit that calculates an evaluation tool that visually implements the fire index in each of the plurality of portions.