摘要
由于目前方法设计大气污染指数采集系统时,没有对传输信息数据产生的信道冲突进行疏通,存在图像或视频传输延时高的问题。为此提出基于物联网的大气污染智能采集系统设计方法,通过数据监测接收和展示模块、远程视频监控管理模块、自动报警模块、系统统计分析模块实现系统功能设计框架;采用信道时分复用算法疏通输出数据产生的信道拥塞,保证接收数据的实时性、准确性,实现大气污染采集系统设计。实验结果表明,所提方法对系统进行延时测试和能耗测试时,系统延时低、能耗低。
When designing the air pollution index acquisition system,the current method does not dredge the channel conflict caused by transmitting information and data,so there is a problem of high image or video transmission delay.Therefore,the design method of air pollution intelligent acquisition system based on Internet of things is proposed.The system function design framework is realized through data monitoring,receiving and display module,remote video monitoring and management module,automatic alarm module and system statistical analysis module.The channel time division multiplexing algorithm is used to dredge the channel congestion caused by the output data,ensure the real-time and accuracy of the received data,and realize the design of air pollution acquisition system.The experimental results show that the proposed method has low delay and energy consumption.
作者
吾斯曼·玉山
艾散·帕合提
Wusiman·Yushan;Aisan·Paheti(Xinjiang Institute of Engineering, Department of Information Engineering, Urumqi 830023, China)
出处
《环境科学与管理》
CAS
2022年第1期49-54,共6页
Environmental Science and Management
关键词
物联网
大气污染指数
信道时分复用法算法
系统能耗
internet of things
air pollution index
channel time division multiplexing algorithm
system energy consumption