公开(公告)号：US08620885B1

公开(公告)日：2013-12-31

申请号：US12706041

申请日：2010-02-16

申请人： Anil Kumar Gupta ,  David James Hubbard ,  Jerome Frank Winzig

发明人： Anil Kumar Gupta ,  David James Hubbard ,  Jerome Frank Winzig

IPC分类号： G06F17/00

CPC分类号： G06Q10/04 ,  G06Q50/06

摘要： Many public utilities companies employ meter data management systems (MDMSs) to manage the millions and sometimes billions of daily and interval meter read values that they collect during a single billing period. One problem with some MDMSs estimate missing daily reads based on average daily usage and these estimates do not match daily usage values determined from interval read data, causing sum check exceptions. Such exceptions are undesirable because they can lead to billing errors and lost consumer confidence in the utility, among other things. To address this, the present inventors devised an exemplary system that uses good and estimated interval read data to more accurately estimate the missing daily reads and thereby reduce occurrences of sum check exceptions. The exemplary system also estimates missing time of use and demand data based on interval read data.

摘要翻译： 许多公用事业公司采用仪表数据管理系统（MDMS）来管理在单个计费周期内收集的数百万甚至数十亿的每日和间隔表读取值。 一些MDMS的一个问题是根据平均每日使用量估计缺少每日读数，这些估计值与从间隔读取数据确定的日常使用值不符，导致总和检查异常。 这种例外是不合需要的，因为它们可能导致计费错误，并导致消费者对公用事业的信心。 为了解决这个问题，本发明人设计了一种示例性系统，其使用良好和估计的间隔读取数据来更准确地估计丢失的每日读取，从而减少和检查异常的发生。 示例性系统还基于间隔读取数据估计丢失使用时间和需求数据。