Research on situation awareness based on ontology for UUV

To solve the problem of using information to control behavior for unmanned underwater vehicle (UUV), this paper presents a situation awareness method on the basis of ontology. During the period of UUV operation, situation perceived information is more important for the safety of UUV and therefore, real-time and accurate perception of the situation has an important impact on UUV autonomous decision making. The according to the characteristics of information processing of situation awareness of UUV, architecture of situation awareness and the core ontology of UUV are set up in this paper, event monitoring module, event recognition module, and all of above base on the basis constructed ontology model of situation awareness. The ontology method expands the situation awareness information, and improves the efficiency by applying the rules reasoning and Bayesian network. Finally, the random obstacles event and the deviation event are simulated to test the validation of UUV situation awareness and its ability of decision making. The results show that UUV can quickly trigger re-planning threads according to situation awareness information, which realize autonomous controlling aiming to uncertain events. The simulating results verify the effectiveness of situation awareness method in the marine environment.