Cyanobacteria are a large class of single-cell prokaryotes capable of oxygen-producing photosynthesis. When cyanobacteria are stimulated by nitrogen, phosphorus and other elements, it will cause eutrophication of the water body and cause the phenomenon of “bloom” in the lake, which seriously endangers the safety of humans, livestock, fish and shrimp. The monitoring and management of cyanobacteria blooms have been plagued by lake management units. At present, the product functions related to the prevention and control of cyanobacteria blooms are very single. The product functions are roughly divided into two categories, some of which focus only on the monitoring link and the other only focus on the salvage and processing link. There is no one product that can combine the two links well. In view of this situation, this article has designed and developed a set of cyanobacteria and algae prevention and control disposal management system, which effectively combines the monitoring and salvage links. The system includes four subsystems: operation report subsystem, monitoring data management system, algae mud environmental protection whole process management system and real-time cyanobacteria monitoring system. The three-dimensional interaction between the WEB terminal and the mobile terminal makes the system more efficient and convenient. The system has the following two innovations: Innovation one: Effectively integrate the control and salvage links of cyanobacteria blooms and jointly build them into a system. Innovation point 2: Apply the K-means algorithm in machine learning to image classification, and replace artificial artificial unattended with AI to improve the recognition rate and reduce the error rate.