By using multiple sensing sensors and AI algorithms, comprehensive monitoring of complex environments and device states can be achieved. Based on the characteristics of different stages of battery thermal runaway, corresponding data is collected through sensors such as smoke, temperature, humidity, carbon monoxide, carbon dioxide, hydrogen, etc., and AI algorithms are used to logically analyze and process the changes in different stages of battery thermal runaway, thereby achieving monitoring, warning, linkage control and fire extinguishing of early states of battery thermal runaway. According to different application scenarios, detectors are divided into two types:Installed inside the battery compartment, used for upgrading and renovating old and new vehicles, gas vehicles, and new energy vehicles
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