Suzhou Electric Appliance Research Institute
期刊號： CN32-1800/TM| ISSN1007-3175

Article retrieval

文章檢索

首頁 >> 文章檢索 >> 往年索引

一種基于STM32微控制器的低功耗LoRa感知系統(tǒng)設(shè)計

來源：電工電氣發(fā)布時間：2022-06-21 13:21 瀏覽次數(shù)：532

一種基于STM32微控制器的低功耗LoRa感知系統(tǒng)設(shè)計

方鄉(xiāng)，陳仲生，李文豪
(湖南工業(yè)大學 電氣與信息工程學院，湖南 株洲 412007)
 
    摘 要：無線傳感器節(jié)點由于部署環(huán)境而受到嚴峻的供電限制，這促使其通過低功耗技術(shù)來延長使用年限。以溫濕度、振動為監(jiān)測對象，提出了一種能量管理與動態(tài)電壓調(diào)節(jié)方法，從軟件與硬件上同時降低電流的損耗，系統(tǒng)微控制器采用低功耗芯片 STM32L475VET6 及低功耗局域網(wǎng) LoRa 技術(shù)實現(xiàn)遠距離通信，主控制器多種模式喚醒工作，系統(tǒng)長周期保持睡眠模式，通過實驗測量監(jiān)測節(jié)點在空閑待機模式下僅消耗 21.85 μA。解決了不穩(wěn)定監(jiān)測與長周期監(jiān)測節(jié)點的問題，對于物聯(lián)網(wǎng)監(jiān)測具有實際的應(yīng)用價值。
    關(guān)鍵詞： 低功耗；LoRa 技術(shù)；MCU ；傳感器
    中圖分類號：TN92 ；TP212     文獻標識碼：A     文章編號：1007-3175(2022)06-0014-05
 
Design of a Low-Power LoRa Sensing System Based on STM32 MCU
 
FANG Xiang, CHEN Zhong-sheng, LI Wen-hao
（College of Electrical and Information Engineering, Hunan University of Technology, Zhuzhou 412007, China）
 
    Abstract: There is a power supply limitation of wireless sensor nodes due to the deployment environment, which means it has to extend the service life by using low-power technology. This paper monitored the temperature, humidity, and vibration and proposed a method to help reduce the current loss from both hardware and software aspects. The system microcontroller used the low-power chip of STM32L475VET6 and the LoRa technology of the low-power LAN network to realize long-distance communication. The master controller had various wake-up modes, and the system kept sleep mode for a long period. The experiment result shows the microcontroller of the node system consumed 21.85 μA in standby mode. It solves the problem of instability monitoring and long-period monitoring nodes and has practical application value for the Internet of Things monitoring.
    Key words: low-power; LoRa technology; MCU; sensor
 
參考文獻
[1] CHEN Mingyi, WANG Min,YU Hengwei,et al.A Self-Powered 3.26-μW 70-meter Wireless Temperature Sensor Node for Power Grid Monitoring[J].IEEE Transactions on Industrial Electronics ，2018，65(11) ：8956-8965.
[2] BHAMRA Hansraj, HUANG Yuwen,YUAN Quan,et al.An Ultra-Low Power 2.4 GHz Transmitter for Energy Harvested Wireless Sensor Nodes and Biomedical Devices[J].IEEE Transactions on Circuits and Systems Ⅱ:Express Briefs，2021，68(1) ：206-210.
[3] MELI M, GATT E,CASHA O,et al.A Novel LowPower and Low Cost IoT Wireless Sensor Node for Air Quality Monitoring[C]//2020 27th IEEE International Conference on Electronics,Circuits and Systems(ICECS)，2020.
[4] BHATTACHERJEE S S, SHREESHAN S, PRIYANKA G,et al.Cloud Based Low-Power Long-Range IoT Network for Soil Moisture Monitoring in Agriculture[C]//2020 IEEE Sensors Applications Symposium(SAS)，2020.
[5] GRIGG S,PULLIN R,PEARSON M,et al.Development of a low-power wireless acoustic emission sensor node for aerospace applications[J].Structural Control and Health Monitoring，2021，28(6)：e2701.
[6] THOMAS A, PATRICK V T, HENDRIK R.A Compact Low-Power LoRa IoT Sensor Node with Extended Dynamic Range for Channel Measurements[J].Sensors，2018，18(7) ：2137.
[7] DUDA N, NOWAK T, HARTMANN M, et al.BATS:Adaptive Ultra Low Power Sensor Network for Animal Tracking[J].Sensors，2018，18(10) ：3343.
[8] MATTEO C, FRANCESCO L, ALESSANDRO M, et al.A Low Power IoT Sensor Node Architecture for Waste Management Within Smart Cities Context[J].Sensors，2018，18(4) ：1282.
[9] 朱琪，李艷麗，戴亞文. 基于 LoRa 的垃圾箱低功耗傳感器系統(tǒng)[J] . 武漢理工大學學報，2020，42(6) ：97-105.
[10] 朱志斌，馬游春. 遠程低功耗鋼橋測溫系統(tǒng)設(shè)計[J]. 電子測量技術(shù)，2020，43(23) ：154-158.
[11] JOTSCHKE M, OSSA W C, REICH T.A 10.5 μW Programmable SAR ADC Frontend with SC Preamplifier for Low-Power IoT Sensor Nodes[C]//World Forum on Internet of Things(WF-IoT)，2020.
[12] TOKMAKOV D, ASENOV S, DIMITROV S.Research and development of ultra-low power LoraWan sensor node[C]//2019 IEEE XXⅧ International Scientific Conference Electronics(ET)，2019.
[13] MOTOYOSHI M, KAMEDA S, SUEMATSU N.57 GHz 130μW CMOS Millimeter-Wave Oscillator for Ultra Low Power Sensor Node[C]//2018 11th Global Symposium on Millimeter Waves(GSMM)，2018.
[14] 田入運. 無線低功耗節(jié)點式地震采集系統(tǒng)關(guān)鍵技術(shù)研究[D]. 長春：吉林大學，2021.