摘要
采用由白色光源发射的光束经透镜后变成平行光束,透过海水重金属污染而变色的化学试纸板反射后,照射在TCS230颜色传感器上,输出含不同色度系数的三基色电压信号,经单片机MSC1210对数据进行处理,在算法上运用改进型PB智能神经网络算法,从而提高对海水重金属污染的识别速度。利用GPRS无线传输网络技术和DAE技术,对数据无线传输和人机对话,实现了对海水重金属污染在线实时监测。实验证明,该智能化海水重金属污染实时监测仪法,虽在精度上没有分光光度法高,但它具有在线实时监测、识别速度快、仪器调整方便和适用范围广等优点。
Meanwhile the rapid economic development should effectively protect the marine environment. The sea water pollution moni- toring and cleaning system can be controlled by the hydroelectric devices and cleaning machines attached to the ship-shaped floating bodies which are powered by sea wind, currents and waves. The sea water pollution monitoring and cleaning system controlled by the MSC 1210 chip can monitor and clean the sea water, and monitor the color of sea water and heavy metal contents in sea water and clear the pollutants like oil spill, garbage and heavy metals in sea water. Besides, the system can be anti-collision, unmanned and remote controlled as it is connected to the GPS and GPRS wireless network by a ultrasonic sensors. The experiments show that the intelligent real-time monitoring of marine pollution and sea cleaning method is safe, and reliable.
出处
《海洋环境科学》
CAS
CSCD
北大核心
2013年第1期133-136,共4页
Marine Environmental Science
基金
广西自然科学基金重点资助项目(桂科自0832018Z)
广西科技攻关项目(桂科攻0895004-4)
关键词
化学试纸
颜色传感器
单片机
无线传输网络
chemical test strips
color sensor
microcontroller
wireless transmission network
