Urban water supply optimization scheduling method based on multi-objective particle swarm optimization

The invention provides an urban water supply optimal scheduling method based on a multi-target particle swarm algorithm. The method comprises the following steps: S1, collecting water consumption data and weather data of users in a water supply area and operation data of a water supply pump station; s2, preprocessing and classifying the collected data in the step S1; s3, collecting weather data of a to-be-optimized scheduling day, matching the weather data to the data set divided in the step S2, and predicting user water consumption data of the to-be-optimized day; and S4, selecting a water supply scheme of the water supply network by adopting a multi-target particle swarm optimization (MOPSO) according to the water consumption data of the user predicted in the step S3. And S5, regulating and controlling the equipment parameters of the water supply pump station through the water supply scheme obtained in the step S4. The historical water supply data is divided into a plurality of data subsets through the temp