Air-Suction Fire Detection with Smoke Concentration Location Tracking
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Solution Overview
Problem
Existing air suction-type fire detection systems fail to accurately identify the location of a fire within chambers such as freezing warehouses or ESS rooms, only determining the presence of smoke without pinpointing the fire's origin.
Innovation Solution
An air suction-type fire detection system that utilizes smoke concentration change graphs to determine fire location by comparing real-time measurements with pre-stored data, using a damper and pump to discharge smoke and re-measure concentration changes, and matches patterns and slopes of measured graphs with database-stored data to identify the fire's location.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If an air suction-type fire detector is used to detect smoke presence, then fire detection capability is improved, but the ability to identify fire location deteriorates
Solution Approach 1:
The suction line is divided into multiple suction holes positioned at different locations within the chamber. Each suction hole corresponds to a specific spatial zone, allowing the system to segment the detection area and identify fire location based on which suction hole first detects smoke concentration exceeding the threshold.
Solution Approach 2:
The patent introduces smoke concentration change graphs as an intermediary data structure to bridge fire detection and location identification. By comparing real-time smoke concentration changes against pre-stored graphs from database records, the system can infer fire location while maintaining reliable detection capability.
2Speed
If smoke concentration is monitored in real-time to detect fire, then detection speed is improved, but the complexity of the system increases
Solution Approach 1:
The system performs preliminary actions by pre-storing smoke concentration change graphs in the database during normal operation. These pre-collected data patterns enable faster real-time fire detection and location identification without requiring complex real-time analysis algorithms, thus improving detection speed while managing system complexity.
Solution Approach 2:
The system implements feedback by continuously monitoring smoke concentration changes and comparing them against pre-stored patterns. This feedback mechanism enables automatic fire detection and location identification based on deviations from normal smoke concentration patterns, improving detection speed through automated pattern recognition.
3Measurement precision
If multiple suction holes are used to identify fire location, then location precision is improved, but the device complexity increases
Solution Approach 1:
The suction line is segmented into multiple suction holes at different positions, with each hole representing a specific spatial zone. This segmentation enables location precision improvement by identifying which zone first detects fire smoke, while the modular nature of individual suction holes keeps device complexity manageable.
Solution Approach 2:
The system uses copying by storing smoke concentration change patterns from database records for each suction hole position. Instead of requiring complex real-time analysis, the system copies and compares pre-recorded patterns to identify fire location, reducing device complexity while maintaining measurement precision.
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
Enables early and accurate detection of fire location by analyzing smoke concentration changes in real-time and stored data, allowing for precise identification of fire origins.
Implementation Method 1
a pump that is furnished on one side of the connection line and supplies power to draw air from inside the warehouse into the suction line
Implementation Method 2
detects fire through an inflow of air inside a warehouse
Data Source
AI summary
Provided is an air suction-type fire detection system and a detection method thereof, which are capable of early detection of a fire location through smoke concentration monitoring. Particularly, in the system, an air suction-type fire detection system capable for early detection of a fire location through smoke concentration monitoring, the air suction-type fire detection system are provided, which includes: an air suction-type fire detector that is fitted to the outside of a chamber needing fire detection and detects fire through an inflow of air inside a warehouse; a suction line that is fitted to the inside of the warehouse and sucks air inside the warehouse in real time; a connection line that links the suction line and the fire detector; and a pump that is furnished in one side of the connection line and supplies power to draw air from inside the warehouse into the suction line.