Data Flow is Used to Analyze the Leakage Control Technology of Secondary Water Supply Network
Urban water supply system is an important part of urban infrastructure,ensuring the normal operation of water supply system is very important to improve the quality of urban life and promate the economic develop-ment.This paper summarized the application of real-time data analysis technology in water supply system leakage management,and it discussed in detail the real-time monitoring and data collection methods for flow,pressure,water quality,and geographic information.The collected data is used for leakage prediction through regression analysis,grey prediction models,and various machine learning algorithms,and leakage location is identified using physical hardware detection methods and simulation-based approaches,showcasing research achievements in Bayesian theory,neural network algorithms,and support vector machines for leakage identification.Finally,the pa-per addressed challenges related to data and models and proposed corresponding improvements,providing scien-tific basis and practical guidance for future urban water supply network leakage management.
water supply systemreal-time data analysisleakage predictionleakage localizationmachine learn-ing method
万方数据
维普
