The inherent unpredictability of the maritime environment leads to low rates of survival during accidents.Life jackets serve as a crucial safety measure in underwater environments.Nonetheless,most conventional life ja...The inherent unpredictability of the maritime environment leads to low rates of survival during accidents.Life jackets serve as a crucial safety measure in underwater environments.Nonetheless,most conventional life jackets lack the capability to monitor the wearer's underwater body movements,impeding their effectiveness in rescue operations.Here,we present an intelligent self-powered life jacket system(SPLJ)composed of a wireless body area sensing network,a set of deep learning analytics,and a human condition detection platform.Six coaxial core-shell structure triboelectric fiber sensors with high sensitivity,stretchability,and flexibility are integrated into this system.Addi-tionally,a portable integrated circuit module is incorporated into the SPLJ to facilitate real-time monitoring of the wearer's movement.Moreover,by leveraging the deep-learning-assisted data analytics and establishing a robust correlation between the wearer's movements and condition,we have developed a comprehensive system for monitoring drowning individuals,achieving an outstanding recognition accuracy of 100%.This groundbreaking work intro-duces a fresh approach to underwater intelligent survival devices,offering promising prospects for advancing underwater smart wearable devices in rescue operations and the development of ocean industry.展开更多
Based on the consideration of operation environment and structural property, an optimum design model of offshore jacket platform is developed in this paper, namely, the reliability-based full-life cycle optimum design...Based on the consideration of operation environment and structural property, an optimum design model of offshore jacket platform is developed in this paper, namely, the reliability-based full-life cycle optimum design model. In this model, the time-dependent reliability assessment method for structural members is established by combination of the decrease of sectional size and performance deterioration of material. The initial investment, maintenance cost and failure loss cost are assembled into the model. The total cost of the platform structure system in its full service period is chosen as the objective function, and the initial reliabilities of the layer elements partitioned in advance are taken as the design variables. Different models are obtained, depending on whether the system reliability constraint is considered or not. This optimum design model can result in the lowest full-life cost and the optimal initial layer reliability of an offshore jacket platform in the design of marine structures. The feasibility of this model is illustrated with an actual jacket platform in the Liaodong Gulf as an example.展开更多
基金support received from the Natural Science Foundation of the Beijing Municipality(grant nos.L222037,2212052)the National Natura Science Foundation of China(grant no.22109012)the Fundamental Research Funds for the Central Universities(grant no.E1E46805).
文摘The inherent unpredictability of the maritime environment leads to low rates of survival during accidents.Life jackets serve as a crucial safety measure in underwater environments.Nonetheless,most conventional life jackets lack the capability to monitor the wearer's underwater body movements,impeding their effectiveness in rescue operations.Here,we present an intelligent self-powered life jacket system(SPLJ)composed of a wireless body area sensing network,a set of deep learning analytics,and a human condition detection platform.Six coaxial core-shell structure triboelectric fiber sensors with high sensitivity,stretchability,and flexibility are integrated into this system.Addi-tionally,a portable integrated circuit module is incorporated into the SPLJ to facilitate real-time monitoring of the wearer's movement.Moreover,by leveraging the deep-learning-assisted data analytics and establishing a robust correlation between the wearer's movements and condition,we have developed a comprehensive system for monitoring drowning individuals,achieving an outstanding recognition accuracy of 100%.This groundbreaking work intro-duces a fresh approach to underwater intelligent survival devices,offering promising prospects for advancing underwater smart wearable devices in rescue operations and the development of ocean industry.
文摘Based on the consideration of operation environment and structural property, an optimum design model of offshore jacket platform is developed in this paper, namely, the reliability-based full-life cycle optimum design model. In this model, the time-dependent reliability assessment method for structural members is established by combination of the decrease of sectional size and performance deterioration of material. The initial investment, maintenance cost and failure loss cost are assembled into the model. The total cost of the platform structure system in its full service period is chosen as the objective function, and the initial reliabilities of the layer elements partitioned in advance are taken as the design variables. Different models are obtained, depending on whether the system reliability constraint is considered or not. This optimum design model can result in the lowest full-life cost and the optimal initial layer reliability of an offshore jacket platform in the design of marine structures. The feasibility of this model is illustrated with an actual jacket platform in the Liaodong Gulf as an example.
