基于物联网的城市河道酸碱度远程检测系统的设计

Design of the remote monitoring system of pH of urban river based on IOT

摘要:

随着城市经济的发展，城市河道水环境受到了严重的污染和破坏，其中水质的酸碱度是水质污染的一个重要指标。由于城市河道水质污染的不确定性，一套能够在野外无人看管的环境下，多节点多范围对河道水质酸碱度实时检测系统成为一种需求。系统中每个采集节点连有pH传感器，采集的pH值数据通过Zigbee模块传给基站，基站将每个节点的数据与时间和地点信息绑定存储到云端数据库。管理人员可以通过网页随时随地了解当前各区域的水质酸碱度情况，如一旦水质出现污染，管理人员可以通过后台了解水质污染的扩散情况和污染源头，可以及时采取措施降低损失。该系统的运用与传统的人工现场取样带回实验室分析的方法相比，不但极大的提高了预警能力而且还大幅降低人力成本。

Abstract:

With the development of urban economy, the water environment of the city river is seriously polluted and destroyed, and the pH of the water quality is an important indicator of the water pollution. Because of the uncertainty of the water pollution in the city river, a set of real-time detection system for the multi node and multi range of the river urban pH is becoming a requirement under the condition of the field unattended. Each detection node connected with a pH sensor, collects data and transmits to the system base station through the Zigbee wireless module, and the base station stores the each node data with its position information and time information to the cloud database. Managers can use the web site to kown the current situation of the water quality of the every region, if the river is polluted, managers can also be aware of the diffusion of water pollution and pollution sources through the data informations, take measures to reduce the loss in time. Compared with the traditional method of artificial field sampling and laboratory analysis, the application of the system not only greatly improve the early warning ability but also reduce the cost of manpower.