Scheduling Algorithm of Urban Raw Water Supply Based on Swarm Intelligence Optimization

The optimal scheduling of water supply system is very important in the construction of urban intelligent water affairs, and reasonable raw water dispatching is an important basis to ensure the orderly and efficient operation of the whole water supply system. Taking the water supply system of city A in Shaanxi Province as an example, this paper analyzes the composition structure and actual situation of raw water in this area. By abstracting the scheduling process of multi -type water sources as constrained optimization problems. NAGA-II, a kind of swarm intelligence algorithm, is used to solve the optimization problem, and the final scheduling results are given. Compared with the traditional manual dispatching mode in this area, the model proposed in this paper has lower resource consumption and raw water cost, and the overall water supply structure is more reasonable and efficient under the requirements of water quantity, water quality and energy consumption.