Linear Fire Detection Cable With Multi-Sensor Early Warning
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Solution Overview
Problem
Existing fire detection systems in battery energy storage facilities and other industrial facilities fail to detect the initial signs of overheating, gas emissions, smoke, and other early indicators of battery failure are essential to ensure timely and effective fire prevention and mitigation in these high-risk environments.
Innovation Solution
A multi-parameter cable-based linear fire detection system that effectively addresses the inadequacies of traditional fire detection methods in battery energy storage facilities and other industrial facilities. It overcomes the difficulties of previous fire detection systems by including 5 sensors: infrared sensor, along with an addressing module. These sensors are connected in series and linked to a signal processing unit that prevents false positives and precisely identifies the exact location of the fire. Additionally, the system features an air sampling function, utilizing an air tube with multiple inlets along the cable to continuously draw air samples for real-time analysis. This innovative system is capable of monitoring critical early indicators of fire, ensuring comprehensive coverage and timely intervention. This advanced detection method significantly enhances fire safety and reduces the risk of extensive damage in high-risk industrial environments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional point type smoke detectors and linear heat detectors are used, then the system structure is simple, but the detection sensitivity is low and comprehensive fire parameter monitoring is not achieved
Solution Approach 1:
The patent combines multiple detection functions (heat detection, smoke detection, VOC detection, combustible gas detection, and infrared detection) into a single integrated linear detection cable system. The sensing modules are positioned along the cable at specific intervals, with each module containing multiple sensors that work together to provide comprehensive fire parameter monitoring, thereby achieving high detection sensitivity without requiring multiple separate detection systems.
2Measurement precision
If traditional linear heat detection systems are used, then the system is easy to operate, but the fire location cannot be pinpointed accurately
Solution Approach 1:
The detection cable is divided into multiple sensing modules positioned at specific intervals along the cable. Each sensing module is independently addressable and contains its own set of sensors. When a fire event is detected, the system can identify which specific sensing module detected the anomaly, thereby pinpointing the fire location along the cable route with greater accuracy while maintaining ease of operation through automated module addressing.
3Reliability
If traditional threshold alarm method is used, then the system is simple to manufacture, but false alarms and missed alarms occur due to lack of comprehensive fire environment consideration
Solution Approach 1:
The system monitors multiple fire parameters simultaneously (temperature, smoke concentration, VOC levels, combustible gas levels, and infrared radiation) rather than relying on a single threshold parameter. The signal processing unit analyzes the combined data from all sensors to determine whether a true fire event is occurring, thereby significantly reducing false alarms and missed alarms while providing a more accurate representation of the actual fire environment.
4Loss of time
If conventional fire detection systems are used in battery energy storage facilities, then the system cost is low, but early detection of thermal runaway and gas venting is not achieved
Solution Approach 1:
The system is designed to detect early indicators of battery thermal runaway before a full fire occurs. The sensing modules continuously monitor for subtle changes in temperature, smoke, VOC emissions, and combustible gas levels that precede catastrophic battery failure. By detecting these preliminary signs of thermal runaway, the system enables early warning and intervention, providing critical response time to prevent extensive damage in battery energy storage facilities.
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 is capable of monitoring critical early indicators of fire, ensuring comprehensive coverage and timely intervention, significantly enhancing fire safety and reducing the risk of extensive damage in high-risk industrial environments.
Implementation Method 1
an infrared sensor
Implementation Method 2
a smoke sensor
Implementation Method 3
a volatile organic compound (VOC) sensor
Implementation Method 4
a combustible gas sensor
Implementation Method 5
a linear heat sensor for monitoring heat between the sensing modules
Implementation Method 6
an air tube with multiple inlets along the cable to continuously draw air samples
Data Source
AI summary
A multi-parameter cable-based linear fire detection system that significantly enhances the capabilities of traditional fire detection systems. This system includes a plurality of sensing modules positioned along the cable, each equipped with a volatile organic compounds (VOC) sensor, a combustible gas sensor, a smoke sensor, an infrared sensor, and linear heat sensors. It also features an addressing module for precise location identification of the fire hazard. The system incorporates an air sampling function with an air tube and multiple inlets to continuously draw and analyze air samples in real-time. By monitoring early indicators such as gas emissions, smoke, and heat, the system ensures comprehensive coverage and timely triggered alarms. The integration of these advanced sensors and functions prevents false positives, provides accurate detection of fire locations, and enhances fire safety in high-risk environments such as battery energy storage facilities and other industrial applications.