Layout Optimization Algorithm Of Gas Detector On Offshore Platform And Software Development

Oil production on offshore platforms is a high-risk operation.The accidental leakage of dangerous gases involved in production will cause fires,explosions,and personal poisoning.Dangerous gas detector system is an important part of detecting gas leakage and preventing accidents.However,the data shows that its efficiency in detecting leaks and alarming is not satisfactory.In order to ensure the safety of oil production on offshore platforms and improve the detection performance of the gas detector system on offshore platforms.This paper systematically propose a set of efficient theoretical methods for optimizing the layout of offshore platform gas detectors,and develop software of optimization for the layout of gas detectors on offshore platforms.This paper studies the characteristics of the offshore platform,determine the basic meaning of the optimization problem of gas detectors on the offshore platform,analyze various influencing factors of the problem,study the optimization strategy of the detector layout,and summarize the general process of the optimization of gas detectors on the offshore platform.Based on the basic research of the problem,construct mathematical model to optimize the layout of gas detectors on offshore platforms from different views and aspects and established models to minimize the cumulative detection time or leakage concentration considering the reliability and availability of the detector system.Taking timeliness and robustness as evaluation indicators,a multi-objective model of optimization of gas detector layout with minimum detection time and maximum system robustness is constructed.Develop algorithm for solving optimization model for the layout of gas detectors on offshore platforms,aiming at the single-objective layout optimization model,research the hybrid algorithm of particle swarm optimization algorithm and genetic algorithm.Increase the diversity of the population and improve the phenomenon of premature convergence of the population,improve the speed update formula in the algorithm,increase the selection and mutation operations between populations,and the general process of solving gas detector layout optimization model is designed.For the multi-objective layout optimization model,the improved algorithm of nondominated sorting genetic algorithm is studied,the coding method of chromosomes is redesigned,and this algorithm solves the multi-objective model.Develop software of optimization for the layout of gas detectors on offshore platforms.Use Matlab GUI to develop software of optimization for the layout of gas detector on offshore platform,integrate the constructed multiple detector layout optimization models,multiple mutation particle swarm optimization algorithm,and non-dominated sorting genetic algorithms to realize the automated process of solving the optimal detector location scheme.This automated process is converted into Matlab code and written into the software,and a practical visual software interface is developed.It provides a practical and efficient analysis tool for designers engaged in the optimization of detector site selection.Case study on specific offshore platform,taking an offshore platform as an example,three-dimensional modeling is carried out based on CFD theory,the candidate points on each deck are divided and the fluent software is used for numerical simulation to obtain the data of "monitoring point-concentration-time".Use the optimized software for the layout of gas detectors on offshore platforms developed in this paper to design the layout of the detectors on the offshore platforms,obtain the optimal detector layout schemes under each optimization strategy,and verify the correctness and superiority of the software.