Objective To solve the problems of high cost, high energy consumption, and insufficient transmission reliability of traditional ranch environmental monitoring and to provide powerful data support for real-time acquisition of ranch environmental parameters and ranch production management. Methods This system chooses the low-power and low-cost STM32WLE5CBU6 as the main controller and adopts the LoRa communication technology for long-distance data transmission combined with the 4G communication network, in order to realize the stable transmission of ranch environmental data, real-time monitoring, and remote management functions. On this basis, the system adds a low-power function to reduce the bandwidth required for data transmission by designing a data compression algorithm, which significantly reduces the overall energy consumption and makes it more suitable for deployment and long-term use in remote or difficult-to-frequently visit ranch environments. Conclusion The designed monitoring system is able to collect environmental parameters in real time and has the advantages of long transmission distance, strong anti-interference ability, and low cost and energy consumption, which is able to meet the needs of smart ranch environmental monitoring.

错误:搜索内容不能为空,请输入英文关键词
错误:关键词超出字数限制,请精简
高级检索

Design and Realization of LoRa-Based Low-Power Smart Ranch Environment Monitoring System

  • Jiajie Tao,
  • Yongfei Lu

摘要

Objective To solve the problems of high cost, high energy consumption, and insufficient transmission reliability of traditional ranch environmental monitoring and to provide powerful data support for real-time acquisition of ranch environmental parameters and ranch production management. Methods This system chooses the low-power and low-cost STM32WLE5CBU6 as the main controller and adopts the LoRa communication technology for long-distance data transmission combined with the 4G communication network, in order to realize the stable transmission of ranch environmental data, real-time monitoring, and remote management functions. On this basis, the system adds a low-power function to reduce the bandwidth required for data transmission by designing a data compression algorithm, which significantly reduces the overall energy consumption and makes it more suitable for deployment and long-term use in remote or difficult-to-frequently visit ranch environments. Conclusion The designed monitoring system is able to collect environmental parameters in real time and has the advantages of long transmission distance, strong anti-interference ability, and low cost and energy consumption, which is able to meet the needs of smart ranch environmental monitoring.