Study of NB-IoT-based unmanned surface vehicle system for water quality monitoring of aquaculture ponds

At present, it is difficult for the aquaculture industry to monitor and manage water quality. In view of this situation, this paper put forward a NB-IoT-based unmanned surface vehicle system for water quality monitoring of aquaculture pond. In the design, double STM32 was taken as micro controller unit (MCU) module, and relative water quality parameters were collected by the sensors of pH, turbidity, dissolved oxygen, and so on; the integrated navigation function was achieved through collaboration of digital compass, BD-GPS positioning module, and IMU; two-way communication of NB-IoT module and OneNET cloud platform was used for achievement of data reporting and control instruction issuing. The experimental results indicate that it takes 5 min on average to patrol 9 target points of a one-hectare pond by using PC and mobile phone for observing water quality and motion information and issuing control instruction to adjust water quality and control unmanned surface vehicle in real time.