Method for fuzzy identification of water supply network model based on waterpower adjustment

Abstract

The invention discloses a method for fuzzy identification of a water supply network model based on waterpower adjustment. According to the invention, the EPANETH software is adopted to establish a waterpower adjustment model of the water supply network, the operating simulation to the water supply network is realized, and the simulated experimental data is obtained. The system input and output time history obtained through simulating the waterpower adjustment model is utilized to replace the observation data, and the fuzzy identification method of the T-S model is adopted to deal with the input and output time history, so that a system parameter model is obtained. According to the invention, the advantages of the EPANETH software are utilized, stationing and data collection of onsite sensors are simplified, and the high-precision fuzzy identification of the T-S model is utilized for predictive control of the water supply network, so that the reliability of optimized dispatching of the water supply network is ensured.

Description

technical field [0001] The invention belongs to the field of industrial control, and relates to a fuzzy identification method for a water supply pipe network operating condition model, in particular to a fuzzy identification method for a water supply pipe network based on an EPANET hydraulic adjustment model. Background technique [0002] The urban water supply network system is a complex and large-scale network structure. Since urban water supply pipe networks are mostly buried underground, tests and experiments cannot be carried out directly. Therefore, establishing a prediction model consistent with the macroscopic characteristics of the water supply system can quickly and accurately solve the working status at any time, which is the key to realize the optimal dispatch of the water supply system. premise and key. [0003] After searching the existing literature, it was found that Ingeduld Petr et al. used the improved EPANET program when dealing with rural water supply n...

AI Technical Summary

Problems solved by technology

However, with the passage of time and the development of urban construction, the water supply pipe network will change every year due to expansion, and the roughness coefficient of each pipe section will also change accordingly, which will cause differences between the model identified by historical data and the actual pipe network, and The accuracy of the model is also difficult to meet the industrial requirements

Images