摘要
针对现有空气能热水监控系统功能单一、关键参数指标监测不到、监测不了系统故障以及组网困难的缺陷,设计了一种基于GPRS的空气能热水系统网络化智能管理系统。该空气能热水系统以STM32F103处理器和A9G 2G模组为核心组建的网络化智能管理,进行远程实时监控,使得厂家能够实时掌握空气能热水系统的工作运行状态,第一时间获取产品故障时的运行数据,更准确更快速地判断出故障原因,为未来的产品升级换代提供客观的意见。通过GPRS通信将多路温度值、流量值、液位值、电流值等参数上传到上位机。上位机软件平台可对采集到的数据进行实时显示,并对历史数据进行保存,以便于后续的处理与分析,即可总结归纳出用户使用空气能热水系统的习惯与偏好,使得未来产品的改造更符合用户习惯及需求。实验证明该控制系统具有稳定、可靠等优点,可以被运用到空气能热水系统中。
Aiming at the shortcomings of the existing air-energy hot water monitoring system,such as the single function,the failure of key parameter indicators and system failure monitoring,and the difficulty in networking,this paper designs a networked intelligent management system for air-energy hot water systems based on GPRS.This air-energy hot water system employs the STM32 F103 processor and A9 G 2 G module as the core of the networked intelligent management to perform remote real-time monitoring.It enables the manufacturer to grasp the working and running status of the air-energy hot water system in real time,and obtain the operating data when the product fails immediately.Therefore,the cause of the failure can be judged more accurately and faster,and objective opinions can be provided for future product upgrades.Multi-channel temperature value,flow value,liquid level value,current value and other parameters are uploaded to the upper computer through GPRS communication.The host computer software platform can display the collected data in real time and save the historical data for subsequent processing and analysis.That is,the habits and preferences of users utilizing the air-energy hot water system can be summarized,so that future product transformations are more in line with user habits and needs.Experiments validate that the control system has the advantages of stability and reliability.Therefore,it can be applied to air-energy hot water systems.
作者
戴诗柏
汪志成
沈博涛
Dai Shibai;Wang Zhicheng;Shen Botao(School of Mechanical and Electronic Engineering,East China University of Science and Technology,Nanchang 330000,China)
出处
《电子测量技术》
2020年第7期179-184,共6页
Electronic Measurement Technology
基金
江西省研究生创新资金(DHYC-201918)资助项目
关键词
空气能热水系统
网络化
2G模组
上位机
多传感检测
大数据分析
air energy hot water system
network
2G module
host computer
multi-sensor detection
big data analysis
作者简介
戴诗柏,硕士,主要研究方向为嵌入式系统与自动控制。E-mail:244890045@qq.com;汪志成,博士,副教授,主要研究领域为嵌入式控制系统应用、机电一体化技术、新能源科学与技术。E-mail:277732648@qq.com
