摘要
文章针对巢湖水质污染问题,结合我国水质监测技术发展现状,构建了基于Zigbee无线传感器的湖泊水质监测系统,使用模糊神经网络算法进行水质测评,并将巢湖水质状态通过APP的形式展示出来。实验表明,该系统可以实现水质的智能化监测,能够有效提升水质监测的质量和效率。水质状态以APP的形式展示,具有较强的应用和推广价值。
The lake water quality monitoring system based on Zigbee wireless sensor is constructed in view of the Chaohu Lake water pollution and the current situation of water quality monitoring technology in China. The fuzzy neural network algorithm is used for water quality assessment and Chaohu Lake water quality status is displayed in the form of APP. It is proved that the system can realize the intelligent monitoring of the water quality, which can effectively improve the quality and efficiency of the water quality monitoring. Water quality displayed in the form of APP is of strong popularization and application value.
出处
《巢湖学院学报》
2017年第3期21-26,共6页
Journal of Chaohu University
基金
皖维科技创新孵化基金项目(项目编号:WWZR-201604)
安徽省高校省级自然科学基金重点项目(项目编号:KJ2017A449)
