Pipeline leakage location technology based on SA-PSO algorithm

Abstract

In order to solve the problem of pipeline leakage location, a fluid dynamics model was established, the parameters of the pipeline were calculated iteratively by Runge Kutta method, the problem of pipeline leakage location was transformed into an optimization problem, and the optimization problem was solved by simulated annealing-particle swarm optimization algorithm (SA-PSO), and compared with other algorithms. The results show that the SA-PSO algorithm can jump out of the limitation of the local optimal solution, under the premise of guaranteeing the number of iterations, the global optimal solution can be obtained. The calculation time of the algorithm is the shortest, the average is 1.5 s, the positioning error under different working conditions is between 1.3~2.9 m, and the algorithm has good adaptability to small leakage. The change of flow rate and leakage rate has no influence on the positioning accuracy. The research results can provide theoretical basis and practical reference for the integrity of oil and gas pipelines.