曲线吻合度算法在高层住宅小区庭院管道漏损控制中的应用OACSTPCD

Water supply pipe networks serve as vital infrastructures in urban and rural areas.However,leakage issues offen appear during prolonged operation.Among these concerns,dark leakage within the garden pipe network stands out as a complex and elusive problem,characterized by a multitude of causes,challenging detection,prolonged leakage periods,and substantial water loss.These characteristics result in immeasurable losses for water supply enterprises,making the control of pipe network leakage a pressing and longstanding issue in the water supply industry.Regrettably,the leakage within the garden pipe network,considered the"last mile"of the secondary water supply,has often been overlooked by water companies and property management firms.To address this problem,this paper proposed a novel"curve fit"algorithm,which leveraged big data and computer technology to achieve accurate prediction of garden pipe network leakage events.The algorithm's effectiveness was demonstrated through its application and validation over a span of more than three years by a water supply company.The results show the algorithm's accuracy and practicality in predicting leakage events,providing invaluable technical support to effectively mitigate courtyard pipe network leakage.