基于Kalman滤波算法的供水管网漏失量计算  

Calculation of Water Supply Network Leakage Based on Kalman Filter Algorithm

作　　者：王一霖 董深[1] 吕谋[1] 赵桓 WANG Yi-lin;DONG Shen;LV Mou;ZHAO Huan(School of Environmental and Municipal Engineering,Qingdao University of Technology,Qingdao 266520,China)

机构地区：[1]青岛理工大学环境与市政工程学院,山东青岛266520

出　　处：《水电能源科学》2023年第6期98-101,97,共5页Water Resources and Power

基　　金：国家自然科学基金项目(51778307);山东省重点研发计划项目(2019GSF111003)。

摘　　要：随着我国城市化进程的加快,对水资源的需求与日俱增,而供水管网的漏损造成了水资源的大量浪费,因此供水管网漏损控制研究已迫在眉睫。其中需要精确计算管网漏失量,但目前方法均存在一定不足。基于Kalman滤波,建立管网漏失分析模型,分别运用节点漏失量经验公式、标准卡尔曼滤波算法(SKF)与新息自适应卡尔曼滤波算法(IAKF)计算管网的漏失量。以实际管网工程为例进行EPANET模拟,并将所得计算结果进行比较。结果表明,两种滤波算法计算结果均比节点漏失公式更加精确,且IAKF算法的计算结果优于SKF算法。这也为加快漏损控制技术研究,实施科学有效的漏损控制手段提供理论依据,对城市节水和可持续发展具有一定的意义。With the acceleration of urbanization in China,the demand for water resources is increasing,and the leak-age of the water supply pipe network has caused waste of water resources.Therefore,leakage control is imminent.The first is to accurately calculate the leakage of the pipe network,but the current methods have certain deficiencies.Based on the Kalman filter,this paper establishes an analysis model of pipeline network leakage,and uses the empirical formula of node leakage,standard Kalman filter(SKF)and innovation adaptive Kalman filter(IAKF)to calculate the leakage of the pipeline network,respectively.Taking the actual pipe network project as an example,the EPANET simulation was car-ried out,and the calculation results were compared.The results show that using both filtering algorithms is more accu-rate than the nodal leakage formula,and the result of the IAKF algorithm is better than that of the SKF algorithm.This provides a theoretical basis for accelerating the research on leakage control technology and implementing scientific and ef-fective leakage control methods,which has certain significance for urban water saving and sustainable development.

关 键 词：供水管网漏失 卡尔曼滤波 新息自适应滤波 EPANET 

分 类 号：TV672.2[水利工程—水利水电工程] TU991[建筑科学—市政工程]