Details :
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 main functions are as follows:
1) Early warning of battery thermal runaway;
2) Hazard monitoring of non-battery components;
3) Active online monitoring;
Advantages :
1) Proactive Warning, Prevention First: The system can trigger alarms at the early stage of battery thermal runaway, thus preventing fire caused by abrupt temperature rising after thermal runaway.
2) Continuous Real-time Hazard Monitoring: The system operates in online monitoring mode with AI algorithms adopted to ensure uninterrupted hazard monitoring in real time.
3) Active Sampling Detection: The system is based on active sampling technology, showing a faster response speed compared to those traditional passive sensing and diffused detection modes, so that it is more suitable for scenarios like energy storage stations with high requirements for alarm speed.
Parameters :
| S/N | Parameter Name | Description |
| 1 | Equipment size | 367*224*96mm |
| 2 | Weight | 5.1kg |
| 3 | Communication mode | Wired/wireless |
| 4 | Power supply | AC220V/DC24V |
| 5 | AI algorithm | Supported |
| 6 | Cloud diagnosis | Supported |
| 7 | Working environment | Temperature: -20℃-60℃; Relative humidity: 10-95%; Altitude: 0-3000m |
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