摘要
针对传统衣柜既存在易受潮、易发霉、易滋生细菌等现象,又缺乏环境自动调节、衣物信息化和穿衣搭配推荐等贴近时代化管理功能,因而秉承智能、便捷、低碳的理念设计“智能衣柜”系统。系统利用物联网技术完成温湿度自动控制、穿衣指数提醒和MQTT数据传输等特色功能设计,建立衣物信息化管理系统,实现“一站式”智能衣柜环境监控,融入气象信息、个人喜好等,运用温湿度模糊PID控制算法、穿衣指数评价函数等优化系统服务。通过测试结果表明,系统可实现软硬件自动控制,根据出差目的地进行外出携带衣物推荐,播报每日穿衣指数,MQTT模式数据传输,移动终端远程监控。系统整体设计使用简单,全程无人监控,全自动调节,将衣柜单一化的功能转化可为主人提供出行参谋的管家角色。
The paper aims to lack of susceptible to damp,easy to mold,easy to breed bacterial phenomenon,environmental automatic adjustment,information management and dress collocation functions of traditional wardrobes,and adhering to the concept of intelligence,convenience and low carbon emission,the"smart wardrobe"system was designed.Complete automatic temperature and humidity control,clothing index reminder and MQTT data transmission and other features of the design,and the"one-stop"smart wardrobe environment monitoring was realized by using the IoT technology.Temperature and humidity fuzzy PID control algorithm,clothing index evaluation function and others were used for optimization of system software,and the overall design of the system is simple.The test results show that the system can realize automatic control of hardware and software,A clothing information management system was established,and the system provides meteorological information,personal preferences,broadcasts daily clothing index,and makes clothing recommendation for a business destination;in addition,the system realized MQTT mode data transmission,and mobile terminal remote monitoring.the whole process is unsupervised by man,and it is automatically adjusted.The function of a wardrobe is changed to the adviser and housekeeper for going out.
作者
潘泽锴
阳琼芳
李泰韬
Pan Zekai;Yang Qiongfang;Li Taitao(Guangxi College of Vocational and Technical,Nanning 530226,China)
出处
《国外电子测量技术》
北大核心
2022年第5期124-130,共7页
Foreign Electronic Measurement Technology
基金
广西高校中青年教师基础能力提升项目(2019KY1204,2022KY0988)资助
关键词
物联网
智能衣柜
穿衣指数
MQTT
自动控制
internet of things
smart wardrobe
clothing index
MQTT
automatic control
作者简介
潘泽锴,硕士研究生,副教授,主要研究方向为智能信息处理、智能控制等。E-mail:panzekai@163.com;阳琼芳,教授,主要研究方向为计算机辅助设计、人工智能等。E-mail:459776040@qq.com
