Abstract
Abstract A fire monitoring and early warning system based on Zigbee and NB-IoT (Narrow Band Internet of Things) has been designed for fire prevention in textile storage environments. The NB-IoT architecture is used for fire monitoring and early warning system systems. Zigbee terminal equipment is used as a node to collect environmental data and process data through the fog sensor MQ-5. The data is uploaded to cloud servers through NB-IoT technology to achieve remote fire monitoring and early warning. The experimental results show that the detection system can obtain real-time and accurate information in the storage environment. The detection system can achieve monitoring and early warning functions. In order to improve security, the warehouse is set up with five different detection positions. The detection system can, to some extent, reduce the probability of fire occurrence.
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