基于SSM的水质在线监测与数据分析

以巢湖水质为研究对象,设计和开发了基于SSM的轻量级水质在线监测系统,对巢湖水中的总磷、氨氮等9种成分进行采集、传输和预测分析。监测系统中的智能传感器通过现场总线协议Modbus 将采集信息发到监测站,监测站再将信息通过TCP/IP协议传送到系统主机;设计了基于Vue的系统主机的前端界面,结果表明,基于SSM框架构建的系统降低了开发难度,系统稳定可靠,实现了设计目标。

On-line monitoring and data analysis of water quality based on SSM

Taking the water quality of ChaoHu Lake as the research object, a lightweight online water quality monitoring system based on SSM was designed and developed to collect, transmit and predict nine components such as total phosphorus and ammonia nitrogen in ChaoHu Lake water.The intelligent sensor in the monitoring system sends the collected information to the monitoring station through the field bus protocol Modbus, and the monitoring station sends the information to the system host via TCP/IP protocol.The front-end interface of Vue based system host is designed. The results show that the system based on SSM structure reduces the development difficulty, the system is stable and reliable, and achieves the design goal.