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面向智慧城市的LoRa和物联网云平台的智能充电监控系统 被引量:2

Intelligent Charging Monitoring System for LoRa and IoT Cloud Platform for Smart Cities
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摘要 在智能充电监控过程中要求传感器能够正确采集数据,数据传输设备传输数据过程不受外界干扰等。基于此,提出一种面向智慧城市充电设备的LoRa智能充电监控系统。使用国产APM32中控芯片开发充电桩终端设备和网关,设备与网关的通信与数据传输模块采用LoRa模块,网关通过LoRa协议以“N叉树”模型的一对多方式实现与多个LoRa设备节点通信的功能;采用BL0939电能计量模块实时采集充电过程中的工作电压、电流、功率电能等。每个设备和网关都内置AT24C02型EEP ROM数据存储模块,可以在电力线路运行中突然停电时起到数据保护作用;选择4G模块WH-GM5作为网关无线通信模块网关与服务器通信。LoRa协议可以有效地减少同频干扰,从而提高网络的可靠性和可用性。实验验证了该系统能够满足在智慧城市、资源勘探以及其他环境下的监测需求。 In the process of intelligent charging monitoring,it is required that sensors can correctly collect data,and data transmission devices are not subject to external interference during data transmission.Based on this,a LoRa intelligent charging monitoring system for smart city charging equipment is proposed.The domestic APM32 central control chip is used to develop the terminal equipment and gateway of the charging station.The LoRa module is used for the communication and data transmission between the equipment and the gateway,and the gateway realizes the function of communicating with multiple LoRa device nodes in a one to many way of"N-tree"model through the LoRa protocol;the BL0939 electric energy metering module is used to collect real-time working voltage,current,power and energy during the charging process.Each device and gateway is equipped with an AT24C02 EEP ROM data storage module,which can provide data protection in the event of a sudden power outage during power line operation;the 4G module WH-GM5 is selected as the gateway for wireless communication between the gateway and the server.By using the LoRa protocol,co frequency interference can be effectively reduced,thereby the reliability and availability of the network can be improved.The experiment has verified that the system can meet the monitoring needs in smart cities,resource exploration,and other environments.
作者 褚洋 李丹丹 Chu Yang;Li Dandan(School of Computer and Control Engineering,Northeast Forestry University,Harbin 150040,China;School of Mechanical and Electrical Engineering,Northeast Forestry University,Harbin 150040,China)
出处 《机电工程技术》 2024年第4期30-35,70,共7页 Mechanical & Electrical Engineering Technology
基金 国家重点研发计划项目(ZKJB230100003)。
关键词 智能充电 传感器 LoRa协议 同频干扰 N叉树 intelligent charging sensor LoRa protocol Co frequency interference N-tree
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