Detail :
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. The main functions are as follows:
1) Battery thermal runaway warning;
2) Non battery body hazard monitoring;
3) Active online monitoring;
Advantage :
1) Advance warning and prevention: The system can provide an alarm in the early stages of battery thermal runaway, avoiding sudden temperature rise and fire caused by thermal runaway;
2) Continuous real-time monitoring of hidden dangers: The system adopts an online monitoring working mode, combined with artificial intelligence algorithms, to achieve continuous real-time monitoring of hidden dangers;
3) Active detection: The system adopts an active sampling detection method, which has a faster response speed than traditional passive sensing and diffusion detection methods, and is more suitable for scenarios such as energy storage power stations that require high alarm speed.
Parameter :
 - 副本.jpg)
