The system remotely acquires video images and water quality parameters of the aquaculture environment in real time through the Internet of Things technology, and integrates various data such as underwater video images collected online, water quality environment data and disease diagnosis experience to realize remote intelligent diagnosis and aquaculture Prevention, disease warning.