基于无线传感网络的大气环境pm2.5污染状况实时监测

大气环境中以PM2.5污染问题最为突出。由于无线传威网络的迅速发展为大气环境的实时监测提供了便利条件,于是提出对PM2.5污染状况进行监测。首先,以大气光谱吸收原理为基础,将谐波检测技术与双光路差分法结合后对气体中的PM2.5颗粒浓度物进行检测。由于气体中颗粒物对光谱吸收受波长影响,通过利用激光器的调频特性对发射光源进行调整,获取的输出光信号与调制频率相关,从而得到谐波分量信号中的大气PM2.5颗粒物浓度。其次,运用无线传感网的网络路由器将信号传输到监测终端,并利用人工鱼群理论对目标区域的网络覆盖率、未休眠节点及系统能耗等进行优化,达到有效采集PM2.5浓度信号以完成污染状况监测的目的。实验证明通过对大气环境PM2.5污染状况的有效监测为雾霾治理提供了数据支持。

Real time monitoring of PM2.5 pollution in atmospheric environment based on Wireless Sensor Network

PM2.5 pollution is the most serious problem in atmospheric environment. Because of the rapid development of the wireless communication network, it provides a convenient condition for the real-time monitoring of the atmospheric environment, so the monitoring of PM2.5 pollution is proposed in this paper. First of all, based on the atmospheric absorption principle, harmonic detection technology and double optical path difference method combined with the detection of PM2.5 particle concentration in the gas, because gas particulate absorption wavelengths influence on the spectrum, through the use of frequency modulation characteristics of laser to adjust the emission light source, the output light signal and modulation the frequency of access to relevant, thus obtained the harmonic component of the signal of the concentration of atmospheric particulate PM2.5; secondly, through the network router using wireless sensor network transmits the signal to the monitoring terminal, and the use of artificial fish swarm theory on the target area of the network coverage, not sleep power node and system are optimized to achieve the effective acquisition of PM2.5 the concentration of signal to complete the pollution monitoring purposes. The experimental results show that the effective monitoring of PM2.5 pollution in the atmospheric environment provides data support for haze governance.