Layout Optimization Method for Leakage Detection Points in Water Supply Network based on Fluid Wave Signal and Improved Genetic Algorithm
To meet the leakage detection requirements of water supplying pipelines in refining enterprises,a detection point layout optimization method based on fluid wave signals and improved genetic algorithm was proposed.Based on the propagation model of flu-id wave signals in pipelines,the wave velocity and attenuation characteristics of fluid wave signals caused by leakage were analyzed.A detection point layout optimization model was constructed based on the introduction of factors such as the shortest interval between adjacent detection points,sensor cost,pipeline imbalance,pipeline flow rate,and pipeline risk level as constraints.An traditional ge-netic algorithm was improved to solve the issue of duplicate encoding in the algorithm.The layout optimization method for the estab-lished detection points was validated using a pipeline simulation case.Firstly,the shortest interval parameter was used to constrain the detection points to avoid the overlapping detection ranges caused by nearby detection points.Then,the pipeline network coverage and its change rate as performance indicators were used to obtain the number of optimal detection points to achieve the goal of econom-ic layout.Finally,the improved genetic algorithm was used to solve the optimization model,and achieve the optimal layout results for detection points.Experimental results between simulation and actual pipeline networks show that under different constraints,the lay-out of detection points is optimized,it can be effectively distributed in the pipeline area where the optimization model is a higher objec-tive function value,verifying the reliability of the established layout optimization method.
water supply pipeline networksleakage detectionpoint layoutfluid wavegenetic algorithm
万方数据
维普
