Design of a low power forest fire monitoring and warning system based on improved TDM-LoRa
The design of a low-power forest fire monitoring and warning system based on improved TDM-LoRa is proposed to address the drawbacks of high cost,high power consumption,and complex maintenance of current forest fire monitoring systems.The system uses the STM32 series microprocessor as the node control core,LoRa-SX1278 chip as the communication module,and uses incremental transmission and improved time division multiplexing communication mechanism to effectively reduce node energy consumption,thereby extending the lifespan of monitoring nodes and aggregation nodes.The experimental results show that with a transmission power of 20 dBm and a transmission rate of 1.2 kbit·s-1,the node can achieve a packet loss rate of only 7.2%within the range of 3.5 km.When using a 2 600 mA·h battery with a data collection and upload interval of 30 min,the theoretical effective working time of a single node can reach 90.7 months,achieving the collection of remote flow-power orest environmental monitoring data without relay.
forest firefire monitoring and warning systemimproved TDM-LoRaincremental transmissionlow powerpacket loss rate