Currently,the use of AI technology to improve the efficiency of personnel work has been commonly applied in various industries.However,due to the low standardization of ship types and poor installation conditions of monitoring equipment in inland waterways,which leads to a low level of application of video graphic algorithms and reduces the convenience of using related systems.This paper addresses the problem that the lack of view information makes information processing susceptible to interference.Multi-view clustering technology is used in the Jining smart harbor navigation graph processing algorithm,and a set of graph processing algorithm framework based on incomplete multi-view clustering is constructed.The construction of this algorithm effectively improves the application level of AI recognition of navigation video,and improves the accuracy and efficiency of recognition.Meanwhile,due to the excellent scalability and openness of the system architecture,it also provides a foundational technology development idea for solving more water transport regulatory business based on this framework.