Human reliability assessment of oceanauts considering dynamic thermal environment

Deep-sea manned submersible operation is a high-risk operation in special environment. In order to study the variation characteristics of the oceanauts human-factor reliability in dynamic thermal environment, firstly analyzed the human-machine-environment characteristics of manned submersible cabin and the dynamic environment changes of mission process. Then, on the basis of cognitive reliability and error analysis method (CREAM), established the functional relation between cognitive failure probabilities (CFP) and productivity (P ), constructed CFP correction model by introducing environmental compensation coefficient (k). Furthermore, obtained quantitative environmental compensation coefficient (k) by predicted mean vote-productivity (PMV-P) method. At last analyzed the change characteristics of CFP for oceanauts through 7000m deep-sea operation mission. The results shown that the model can describe the changing characteristics of CFP for oceanauts in dynamic operating environment. During the submarine descent to 4000 meters, the thermal environment of the cabin have a great influence on CFP of the oceanauts. This method provided a theoretical basis of optimizing resource allocation and improving system design of submersible.