LINFeng,LIXu,ZENGHan,et al.Optimized Algorithm of Intelligent Water Supply Scheduling and Its Simulation Practice in a Large City[J].China Water & Wastewater,2023,39(9):109-115.
Optimized Algorithm of Intelligent Water Supply Scheduling and Its Simulation Practice in a Large City
China Water & Wastewater[ISSN:1000-4062/CN:12-1073/TU]
volume:
第39卷
Number:
第9期
Page:
109-115
Column:
Date of publication:
2023-05-01
- Keywords:
- optimization of water supply scheduling; naive Bayes; machine learning; water demand prediction; macroscopic hydraulic model
- Abstract:
- With the development of big data and artificial intelligence, urban water supply scheduling has evolved from manual scheduling to intelligent scheduling. This paper designed an optimized water supply scheduling algorithm to achieve the goal of optimal control of water supply pressure and green energy saving. The algorithm comprehensively utilized naive Bayes and other machine learning models to establish an optimized scheduling algorithm combination including the total water demand prediction model, macroscopic hydraulic model, scheduling behavior prediction model and comprehensive evaluation algorithm, so as to achieve the water supply scheduling target of “better control pressure, less scheduling times, low energy consumption and large space”. The optimized water supply scheduling algorithm was verified and applied in service districts of 5 water plants in Shenzhen. The algorithm has high accuracy, reliability and applicability. In addition, the performance of intelligent scheduling is significantly better than that of manual scheduling, which has reference significance for the research and practice of intelligent water supply scheduling in large and medium sized cities.
Last Update:
2023-05-01