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The online monitoring and fire early warning system for energy storage station is based on an active sampling with the combination of prefabricated container-level and battery cluster-level warnings. It can monitor hazards in both the battery itself and non-battery components, addressing the shortcomings of existing energy storage monitoring technologies and further realizing comprehensive online monitoring.

The device is designed in a compact and integrated manner, with different sampling methods supported. Through active detection, it conducts online real-time monitoring and early warning of nano-particles and characteristic gases generated by overheating hazards and discharge hazards in confined spaces, further avoiding power outages and fire accidents caused by thermal hazards.

This device utilizes an independently developed nano-particle detection technology to realize early warning and real-time monitoring of fires based on nano-particle detection technology, gas sensing technology, data fusion technology and the IOT technology. It strives for valuable time to eliminate safety hazards, thus avoiding major safety accidents.