An offshore platform is naturally vulnerable to accidents, such as the leakage of dangerous chemicals, fire and explosion because there are a lot of oil and gas, where all the equipment and pipes are squeezed into a limited area. Escape, Evacuation, and Rescue (EER) plans play a vital role as the last barrier to ensure the safety of personnel in the event of a major accident. As a result, the main contributors leading to evacuation failure are analyzed in this study to prioritize technology development needed to select a robust EER strategy. The scope of this research focuses on the quantitative analysis of various EER strategies on offshore platforms. In this research, a reliability prediction model of emergency evacuation is established for offshore platforms based on the K2 structure learning algorithm and a Bayesian network parameter learning method. The conditional probability tables of each node are determined by combining the Bayesian estimation method and a junction tree reasoning engine. The reliability of emergency evacuation on a platform is predicted using a dynamic Bayesian network model. The transition probability is determined through a Markov method. The main factors leading to evacuation failure are investigated using the diagnostic reasoning method of Bayesian Network.
A newly developed four-station translational and rotary worktable can be applied for complex human-machine hybrid operations and dangerous heat treatment operations. And the design can guarantee closed operations without involvement of human when the worktable rotates to the concentrated area, while the installation or other manual processing when the worktable rotates to the separate area. In addition, by designing innovative rotating and track-changing mechanism and the direction-holding mechanism, the work piece remains the constant direction in the rotation process. Furthermore, the interference problem of the Geneva mechanism of the track-changing fork is analyzed. Consequently, the smaller the angle of fork notch is, the smaller the force that fork reacts on the support shaft is, meanwhile, the strength can be satisfied more easily. The optimal angle of Y-fork is 90 degree. The application of the four-station translational and rotary worktable can achieve multi-step continuous process, save workspace and improve production efficiency.
Dyes are colored organic compounds that are used to pigment fiber or other materials. Dyes are mainly calssified into natural and synthetic dyes in terms of the origin. Natural dyes include animal dyes, plant dyes and mineral dyes with such defects as incomplete chromatogram, inconvenient use and color fading, and thus have been gradually eliminated. In 1856, the 18-year-old young British scientist Perkin successfully invented the world's first synthetic dyes. He built his own factory and industrialized synthetic dye production. Over 100 years since then, dye industry has undergone rapid development, and by 2001 synthetic dyes already have been up to nearly 10,000 varieties. In 2004, the output of total dyes in the world has reached 900,000 tons. Synthetic dyes are used comprehensively, not only to dye synthetic fibers, but also natural fibesr, fur, leather and man-made fibers.
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