摘要
针对我国西北地区水产养殖系统自动化水平低的现状,设计了以单片机和BP神经网络技术为核心的水质自动测控系统。介绍了系统的工作原理、设计方法、系统组成、功能及对水质的测控过程。该方法将水质监测技术与现代控制技术相结合,克服了传统仪器的不足,可实现水质测控的数字化、智能化,满足环境监测的需要。
Aiming at the low automation level situation of aquaculture system in the northwest , designed a water quality automatic observation and control system based on the single chip and BP neural net work. Introduced the working principle; design procedures; system composition;function and the process of the water quality control. The method combined the water quality monitoring technique and the modern control technique,Overcomed the shortage of the traditional instrumentes, So it can bring a digitalized and intellectualized water quality survey＆control, meet the needs of the environment survey.
出处
《微计算机信息》
2009年第32期108-109,共2页
Control & Automation
