摘要
随着全球变暖的步伐,厄尔尼诺现象和拉尼娜现象出现的频率都渐渐变得频繁起来。而异常天气对我国的影响较大。因此对环境中各项参数进行检测,并加以分析对于天气预测和环境治理是很有帮助的。本系统在RT-Thread嵌入式操作系统上,实现了二氧化氮传感器,二氧化硫传感器,粉尘传感器的测量,并结合GPS的定位信息,并通过NB-IOT技术把数据无线传输至云平台,实现了环境易变参数的实时检测和网络查询。为后期的大数据分析打下了基础。本系统适用于检测空气中少数几种化学性质的特殊含量的分布情况。并加以分析的使用场景。
With the pace of global warming,the frequency of El Nino and La Nina gradually become more frequent.But the abnormal weather has a great influence on our country.Therefore,it is very helpful for weather prediction and environmental governance to detect and analyze the parameters in the environment.This system realizes the measurement of nitrogen dioxide sensor,sulfur dioxide sensor and dust sensor on RT-Thread embedded operating system,combines GPS positioning information,and wirelessly transfers data to the cloud platform through NB-IOT technology,so as to realize realtime detection and network query of environmental variable parameters.It also lays a foundation for the later big data analysis.This system is suitable for detecting the distribution of a few special chemical properties in the air.And analyze the usage scenarios.
作者
贾伟伟
王朋伟
Jia Weiwei;Wang Pengwei(School of information and Electrical Engineering(new energy)technology of Xuzhou Institute of technology,Xuzhou Jiangsu,221140)
出处
《电子测试》
2020年第17期18-20,共3页
Electronic Test
