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The online monitoring and fire warning system for energy storage power stations adopts an active sampling method, combining prefabricated cabin level and battery cluster level warning to monitor the hidden dangers of battery bodies and non battery bodies, make up for the shortcomings of existing energy storage monitoring technology, and achieve comprehensive online monitoring.

Small integrated design can expand different sampling methods. Through active detection, real-time online monitoring and early warning of nano particles and characteristic gases generated by overheating and discharge hazards in narrow spaces can be carried out to avoid thermal hazards from developing into power outages and fire accidents.

Adopting innovative nano particle detection technology, based on nano particle detection technology, gas sensing technology, data fusion technology, and Internet of Things technology, advanced warning and real-time monitoring of fires are achieved, saving valuable time for eliminating safety hazards and avoiding major safety accidents.