Detection of Water Meter Under-Registration Using Statistical Algorithms
Detection of Water Meter Under-Registration Using Statistical Algorithms
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使用统计算法检测水表未注册情况
DOI：
10.1061/(asce)wr.1943-5452.0000562
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发表时间：
2016
期刊：
影响因子：
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通讯作者：
C. León
中科院分区：
文献类型：
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作者：
Í. Monedero;Félix Biscarri;J. Guerrero;M. Peña;M. Roldán;C. León
AbstractMeter篡改是一个重要的问题，公用事业（电力和水分配），以解决，因为他们代表了一个重要的收入损失。塞维利亚大学电子技术系的作者小组与Empresa Metropolitana de Abastecimiento y Saneamiento de Aguas de Sevilla（EMASESA公司，塞维利亚的一家供水公司，也是该国最重要的公司之一）合作，开发了一种由三种算法组成的方法，使其能够联合检测客户中的此类操纵。这些算法是在使用该公司的数据库进行数据挖掘过程后生成和编程的。此外，这些算法补充了对客户供应点的地理信息的研究，以改善结果。为了测试结果，Emasesa公司对塞维利亚省几个地区的算法选择的客户进行了现场检查。成功率…
AbstractMeter tampering is an important problem for utilities (both power and water distribution) to address because they represent an important loss of income. The authors’ group at the Electronic Technology Department of the University of Seville worked with the Empresa Metropolitana de Abastecimiento y Saneamiento de Aguas de Sevilla (EMASESA Company, a water distribution company in Seville and one of the most important of the country) to develop a methodology consisting of three algorithms that makes it possible to jointly detect this type of manipulations among its customers. The algorithms were generated and programmed after a data mining process using the database of the company. In addition, these algorithms were supplemented with a study of the geographical information of the customer supply points to improve the results. To test the results, the Emasesa Company performed in situ inspections of the customers selected by the algorithms for several areas in the province of Seville. The success rate...