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Client Name: City of Santa Ana I AMI FEASIBILITY REPORT <br />Figure 12 MOMS Functionality Block Diagram <br />8.2 HISTORICAL AMI DATA <br />The MDMS will maintain significant historical usage information on all water meters. This <br />information can be analyzed for a single meter or across a number of water meters, or both. The <br />information can identify conditions such as: <br />13 Water meters may have accelerated decrease in accuracy. The trend for accuracy decrease is <br />often identifiable. Looking at long-term data trends can identify meters that are suspect, allowing <br />the City to investigate and potentially remove them before they would be scheduled for <br />replacement, resulting in a reduction in nonrevenue water and improvement in overall system <br />meter accuracy. <br />13 Water loss due to theft or tamper may be indicated by a sudden change in water usage. There are <br />many justifiable reasons for a change in water use, but data analysis can identify potential <br />conditions for the City to investigate. <br />© Customer leak detection uses algorithms that look for periods of non-use. If there is no period of <br />non-use of water for residential customers, a potential leak is normally indicated on the customer <br />side of the meter. <br />13 Meter usage aggregation allows meters to be combined into virtual groups to support district <br />meter analysis or particular zone analysis. <br />❑ Water use across different customer classes can be compared to identify societal trends, support <br />customer programs or City goals, or identify long-term usage changes. <br />Historical data also have value for the end-use customers. While many customers are not interested <br />in monitoring their water or other utility usage on a daily basis or analyze their usage in any detail, <br />BLACK & VEATCH I Data Integration and Analysis <br />25G-155 <br />37 <br />