基于LoRa基站的滚动轴承运行状态远程监测系统设计  

Design of remote monitoring system for rolling bearing running status based on LoRa base station

作　　者：李瑞[1,2] 范玉刚 张光辉[1] Li Rui;Fan Yugang;Zhang Guanghui(Faculty of Information Engineering and Automation,Kunming University of Science and Technology,Kunming 650500,China;Yunnan Key Laboratory of Artificial Intelligence,Kunming 650500,China)

机构地区：[1]昆明理工大学信息工程与自动化学院,昆明650500 [2]云南省人工智能重点实验室,昆明650500

出　　处：《电子测量技术》2021年第17期65-70,共6页Electronic Measurement Technology

基　　金：国家自然科学基金(649220180003)项目资助。

摘　　要：随着工业生产向智能化发展,无人化已经成为一种趋势。机械设备运行中,滚动轴承容易发生损坏,远程监测机械设备的运行情况已成为急需解决的问题。本文设计了一种基于LoRa基站对滚动轴承运行状态进行远程监测的系统,该系统以STM32为核心,形成一个采集子节点,用于采集轴承振动信号,然后将采集的数据通过SX1278射频芯片发送到LoRa无线网关。LoRa无线网关通过GPRS模块将接收到的数据发送到远程服务平台。远程服务平台采用互补集合经验模式分解(CEEMD)方法,分析振动信号以确定轴承的工作状态。实验表明,该系统有效地实时监控机械设备,确保长期稳定运行并安全有效地生产。With the development of industrial production to intelligence, unmanned has become a trend.In the operation of mechanical equipment, the rolling bearing is easy to be damaged. Remote monitoring of the operation of mechanical equipment has become an urgent problem to be solved.This paper designs a remote monitoring system for the running state of rolling bearing based on LoRa base station. The system takes STM32 as the core and forms a collection sub node to collect the bearing vibration signal, and then sends the collected data to LoRa wireless gateway through SX1278 RF chip.LoRa wireless gateway sends the received data to the remote service platform through GPRS module. The remote service platform uses the complementary ensemble empirical mode decomposition method to analyze the vibration signal to determine the working state of the bearing. Experiments show that the system can effectively monitor mechanical equipment in real time to ensure long-term stable operation and safe and effective production.

关 键 词：LoRa 无线网关 远程监控 CEEMD 

分 类 号：TN256[电子电信—物理电子学]