In this study, we use sensors, ZigBee wireless sensor network, embedded system, GPRS, cloud, big data mining analysis, and other technologies to design and implement a multi-indicator, multi-node, low-power “waters skynet monitoring system”. The test shows that the system design scheme is reasonable and feasible, and the system runs stably. It has realized distributed monitoring of water quality status, early warning, big data analysis and visualization of various scientific charts, effectively expands the scope of monitoring, accelerates the early warning and response speed, and improves the process of water quality monitoring and treatment.