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目前,国际上对供水管网漏失量化理论研究较少,而常用的计算漏失量的方法也均存在一定不足.为此,基于信息控制领域常用的Kalman滤波分析算法,构建管网系统漏失模型的状态方程与观测方程,并递推计算出管网的漏失量.进一步在实验室进行漏失模拟实验,利用Kalman滤波算法建立漏失模型并分析实验数据,结果表明,应用基于Kalman滤波算法的漏失模型计算供水管网漏失量是可行且可靠的,可为供水行业制定有针对性的供水管理及技术措施、降低漏失量、提高管网控漏水平提供依据.
At present, there are few international researches on the quantitative theory of the loss of water supply network, and the commonly used methods of calculating the amount of the missing amount all have some deficiencies.Therefore, based on the Kalman filter algorithm commonly used in information control field, The equation of state and the observational equation, and recursively calculate the leakage of the pipe network.Lastly, the leakage simulation experiment is carried out in the laboratory, the leakage model is established by using Kalman filter algorithm and the experimental data are analyzed. The results show that the leakage model based on Kalman filter algorithm Water supply network leakage is feasible and reliable, for the water supply industry to develop targeted water management and technical measures to reduce the amount of leakage, to improve the level of network leakage control provide the basis.