基于物联网云平台的空调智能控制系统设计

2022,30(3):114-119
郭鲁, 魏颖, 何金
沈阳工学院 信息与控制学院
摘要:摘要:空调耗电量大,管理不当将浪费大量电能,研究并实现空调智能控制系统势在必行。 本文设计了基于物联网云平台的空调智能控制系统,整个系统分为手机APP客户端、机智云平台及基于STM32的智能空调控制终端三大部分。智能空调控制终端模块实时采集周边环境的温湿度数据,经过STM32单片机对数据进行处理,再通过ESP8266WIFI模块发送到手机端,用户也可以在手机APP端改变相关设置,再由手机端发送到云平台,最后由云平台通过WIFI网络发送给ESP8266WIFI模块实现远程控制空调的功能。实验结果表明,利用该系统能实时监控环境温湿度数据,有效地控制空调合理使用,控制成功率达到100%,能营造舒适的生活工作环境又不造成浪费,适用于多种空调品牌,具有较高的实用价值。
关键词:智能空调;手机APP;STM32;云平台

Design of air conditioning intelligent control system based on Lot cloud platform

Abstract:Abstract: Air conditioning consumes a lot of electricity, improper management will waste a lot of electricity, research and implementation of air conditioning intelligent control system is imperative. This paper designs an intelligent air conditioning control system based on Internet of Things cloud platform. The whole system is divided into three parts: mobile APP client, intelligent cloud platform and intelligent air conditioning control terminal based on STM32. The smart air conditioner control terminal module collects temperature and humidity data of the surrounding environment in real time, processes the data through STM32 microcontroller, and then sends the data to the mobile phone terminal through ESP8266WIFI module. Users can also change the relevant Settings on the mobile phone APP terminal, and then the mobile phone terminal sends the data to the cloud platform. Finally, the cloud platform sends it to THE ESP8266WIFI module through WIFI network to realize the function of remote control of air conditioning. The experimental results show that the system can monitor the ambient temperature and humidity data in real time, effectively control the reasonable use of air conditioning, control success rate of 100%, can create a comfortable living and working environment without waste, suitable for a variety of air conditioning brands, has high practical value.
Key words:Intelligent air conditioning;Mobile phone APP;STM32;Cloud platform
收稿日期:2021-12-31
基金项目:国家自然科学基金(61603262,61403071),辽宁省自然科学基金(20180550418),沈阳工学院i5智能制造研究所基金(i5201701).
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