A Multi-Parameter Water Environment Monitoring and Early Warning System Based on NB-IoT

At present, Rivers and Lakes and other vast waters in Zhejiang Province have various monitoring needs. However, the current water environment monitoring system still has problems such as high power consumption of wireless networking devices in water environment monitoring buoys, easy to lose data, etc; Some sensors with certain parameters suffer from high noise and insufficient detection range, which is not conducive to longterm operation; At the same time, the existing evaluation and warning models for water environment suffer from phenomena such as missing or misidentifying outliers. Therefore, a new framework for hybrid communication between aggregation/cluster head nodes and sensing nodes is designed through NB IoT networking, which reduces energy consumption in communication and extends the lifespan of network equipment; By optimizing the front-end detection circuit, a turbidity and dissolved oxygen digital sensor with standard Modbus RTU protocol is designed to improve detection accuracy and reduce noise interference; Reduce monitoring false alarm rate through advanced algorithms. Successfully designed a multi parameter monitoring and early warning system for water environment based on NB IoT.