Research On Dynamic Modeling And Intelligent Optimization System Of Urban Gas Network

As one of the basic projects in the process of urban development and construction,the laying effect of natural gas pipeline network is an important indicator to measure the level of urban modernization.Because of the huge investment in the gas pipeline network system project,in order to adapt to the expanding urban scale,it is necessary to ensure that the gas pipeline network design scheme is reasonable and has good scalability.The traditional natural gas pipeline laying technology is not conducive to the expansion of the whole system engineering in the later stage,and a lot of resources have to be invested in the pipeline maintenance,resulting in unnecessary waste.In this paper,the intelligent optimization technology is introduced into the layout optimization of urban gas pipeline network,which has a certain guiding significance for improving the utilization rate of the pipeline network.(1)In this paper,the existing data of gas pipeline network laying are studied.Combined with the development trend of gas industry,the layout design of annular gas pipeline network is taken as the optimization research object.All nodes are abstracted as coordinates,and the total investment is the minimum as the optimization objective function.Based on the analysis of the principle of artificial immune algorithm,an improved artificial immune algorithm based on selfadaptive is proposed.Through comparative analysis,the search accuracy of the improved artificial immune algorithm is greatly improved.In the urban gas pipeline network,the gas source node realizes many functions,such as adjusting the pipeline pressure,controlling the transmission gas volume,adjusting the peak gas consumption,etc.,which is an important part of ensuring the efficient operation of the whole network.In this paper,the improved artificial immune algorithm is combined with the selection of gas source nodes in the gas network,and the effectiveness of the method is verified by an example.(2)On the basis of studying the principle of the artificial bee colony algorithm,aiming at the shortcoming that the artificial bee colony algorithm is easy to fall into the local optimal solution,an improved artificial bee colony algorithm based on the current optimal solution is proposed.A new neighborhood search strategy is introduced into the basic algorithm,and the choice of the honey source result is judged,and the purpose of improving the optimization effect of the algorithm is achieved.Based on the detailed analysis of the layout characteristics of urban gas pipeline network,combined with the network structure characteristics of specific gas pipeline network,the improved artificial bee colony algorithm is applied to the overall layout optimization of gas pipeline network.The feasibility of the method is proved by the case analysis.(3)Design and implementation of intelligent optimization system for urban gas pipeline network.The software engineering development technology is adopted to realize the development of "intelligent optimization system of urban gas pipeline network".The intelligent optimization scheme is applied to the optimization of gas source nodes and layout in the pipeline network design,which provides a reference for the implementation of gas pipeline network engineering and has certain application value.