HLA를 기반으로 한 해석-가시화 통합 방법 연구 및 조선 해양 협업 시뮬레이션에의 적용

Abstract

During ship construction and offshore installation, more than two cranes are required in many cases. Even using one crane, some signalmen also need to assist the crane operator. And it is noticeable that the probability of accidents is considerably high due to operators collaboration. In order to prevent potential risks and ensure safety of operation process, simulation technology is widely applied. In this study, collaborative simulation is developed which allows several workers to conduct the same operation simultaneously in visual environment and then investigate potential safety risks. The current study can be summarized into four parts. Firstly, in order to describe the crane and block as real as possible, and make it as working in the actual operation site, VR (virtual reality) technology that could improve the sense of reality and immersion is studied. Secondly, because the cranes and block in virtual environment should move like a real movement, research on physics analysis technology based on multibody system dynamic has been done. Thirdly, to control the cranes in the simulation, workers who operate the crane need a controller. Therefore, a scenario generator is developed which can convert the signals from the controllers to the input datum for VR and analysis. Finally, in order to effectively integrate the VR technology, multibody dynamic system technology and controller as well as consider of interoperability and reuse, this study proposes an integrated simulation interface based on the High Level Architecture. This study utilizes developed collaborative simulation, which can be applied in simulating block turn-over (rotating 90 or 180 degrees) operation and topside module installation. Each simulation allows four operators to operate under the same virtual environment simultaneously and during this process, some danger may occur due to operators mistakes. This study makes contributions in simulating potential outcomes caused by operators operations, and collecting detailed data for further investigation. This study can be applied in ensuring safety in complicated scenarios, training operators and many other aspects.