详细信息
文献类型:期刊文献
中文题名:智能空气检测系统的开发
英文题名:Development of Intelligent Air Detection System
作者:姚志婷[1];韩宇光[1];孙琦钰[1];李阳[1]
机构:[1]华东理工大学信息科学与工程学院,上海200237
年份:2018
期号:4
起止页码:207
中文期刊名:装备制造技术
外文期刊名:Equipment Manufacturing Technology
语种:中文
中文关键词:空气检测;多传感器;云平台;数据共享
外文关键词:air detection;multi-sensor;cloud platform;data sharing
摘要:为了满足目前对室内空气质量实时监测的客观需要,针对现阶段空气质量检测中采用本地检测无法上传的问题,设备进行远程监测时存在着需定期支付服务器租金增加使用成本、服务器接入方式单一增加开发难度等问题,设计了系统利用Arduino UNO3作为主板,连接粉尘、光照、风速、雨滴和温湿度传感器采集数据,实现对空气质量的监测。利用ESP8266 Wi Fi模块将所检测到的空气质量信息上传到中移物联云平台ONENET上,使用户能够即时在网页和手机应用软件上查询到最新的空气信息。
In order to meet the objective needs of real-time monitoring of indoor air quality,the problem of local inspection cannot be uploaded for air quality inspection at the current stage. When remote monitoring of equipment,there is a need to pay server rent regularly to increase the use cost,and the server access method is increased by a single increase. For problems such as difficulty,a system was designed to use the Arduino UNO3 as the main board to connect the dust,light,wind speed,raindrops,and temperature and humidity sensors to collect data for air quality monitoring. The ESP8266 Wi Fi module is used to upload the detected air quality information to ONENET,a mobile cloud platform,enabling users to instantly check the latest air information on web pages and mobile application software.
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