Battery Cluster Fire Detection Using Infrared and Aspirating Sensors
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Solution Overview
Problem
Current fire-protection systems for container-type energy storage systems, particularly those using lithium batteries, struggle with accurately identifying abnormal batteries and efficiently implementing fire prevention measures.
Innovation Solution
A fire-protection detecting system utilizing infrared temperature detectors, camera detectors, and aspirating detectors to collect and analyze data, determining risk events, and activating fire-protection measures to extinguish fires and monitor the system's status.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple types of detectors (infrared, camera, aspirating) are deployed to improve fire detection accuracy, then the measurement precision and reliability of fire identification is improved, but the device complexity and cost increase
Solution Approach 1:
The patent combines multiple types of detectors (infrared temperature detectors, camera detectors, and aspirating detectors) into an integrated fire protection system. These detectors work together to collect different types of data (temperature, visual imagery, smoke concentration) that are processed by a server to improve fire detection accuracy and reduce false alarms, while sharing common infrastructure and control mechanisms.
Solution Approach 2:
The fire protection system is designed with multi-functional detectors that can perform multiple detection tasks. For example, the system can simultaneously monitor temperature anomalies, detect smoke concentration, and capture visual evidence of fire events, allowing a single system to handle various fire detection scenarios and provide comprehensive safety monitoring.
2Reliability
If continuous monitoring and multiple detection methods are used to improve fire identification accuracy, then the reliability of fire detection is improved, but the energy consumption and operational cost increase
Solution Approach 1:
The system continuously monitors detection data from multiple sensors and uses feedback mechanisms to adjust its operation. When fire risk is detected or suspected, the system intensifies monitoring and activates alarm procedures. When no fire risk is present, the system maintains surveillance at lower intensity levels, optimizing energy consumption while preserving detection reliability through adaptive response to real-time conditions.
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
Improves the accuracy and efficiency of fire identification and control in lithium battery clusters, reducing potential harm by accurately locating faulty batteries and optimizing the use of fire-extinguishing materials.
Implementation Method 1
obtaining first sampling data from an infrared temperature detector... determining a first sampling temperature based on the first sampling data
Implementation Method 2
obtaining third sampling data from an aspirating detector... determining whether the target lithium battery cluster has caught fire based on... the third sampling data
Data Source
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AI summary
The present disclosure provides fire-protection detecting method and device, applied to a container-type energy storage system. The method includes: obtaining first sampling data, second sampling data, and third sampling data; determining a first sampling temperature based on the first sampling data, and determining whether a risk event has occurred in the container-type energy storage system based on the first sampling temperature; if it is determined that the risk event has occurred, determining whether the target lithium battery cluster has caught fire based on the second sampling data and/or the third sampling data; if it is determined that the target lithium battery cluster has caught fire, calling the fire-protection system to extinguish fire and sending a first prompt message to the terminal device to prompt that the target lithium battery cluster has caught fire; determining whether to shut down the fire-protection system based on the updated first sampling data