应用Kalman滤波算法计算供水管网漏失量

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
Considering the insufficiency of the present international study on the quantification of water pipeline leakage, and the deficiencies of the existing common methods of leakage calculation, this study combines Kalman filtering algorithm commonly used in the area of information control to build state equation and observation equation of pipeline leakage model. The simulation experiment of pipeline leakage calculation based on Kalman filtering algorithm conducted in the laboratory proved the feasibility of the model. Our study provides a powerful basis for policy-makings of water supply network management, leakage reduction, and improvement of leakage control level