Open AccessIntelligent Leakage Location of Urban Small Water Supply Network
Author(s) -
Songzi Liu,
Mou Lv,
Hongwei Li
Publication year - 2022
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2185/1/012041
Subject(s) - ant colony optimization algorithms , particle swarm optimization , metaheuristic , leakage (economics) , computer science , mathematical optimization , software , multi swarm optimization , optimization algorithm , engineering , algorithm , mathematics , economics , macroeconomics , programming language
In this paper, the leakage location model of pipe network is established based on EPANET software. Two intelligent swarm optimization algorithms, ant lion optimization algorithm and particle swarm optimization algorithm, are used to solve the model. Taking the industrial water supply network of a coastal city in North China as an example, the operation of the two algorithms is analyzed and compared. The results show that the ant lion optimization algorithm has stronger global optimization ability and higher search efficiency in the problem of leakage location; it also has high application value in practical engineering.