Sewer System Data Analytics Substituting for Flow Monitoring

摘要

Flow monitoring is a powerful tool that empowers the owner of a sewer collection system with accurate and timely information, thus leading to sound decision-making process in daily operation and long-term investment. However, the comparatively high cost, limited scope and demanding maintenance requirement has constrained its application to very few selected key locations for most systems. This paper is written to detail an alternative roadmap of employing data analytics for sewer system equipped with many sewer lift stations and good SCADA system, to replace or partially substitute for flow monitoring. Data mining technique can be applied to extract critical flow data under both dry and wet weather events. The primary advantage of this approach is the cost-effectiveness and more coverage compared with conventional flow monitoring. In general, cost related to data extraction and processing is limited. There is no capital investment cost upfront for the system. The data set extracted from the SCADA system are broader in duration and in coverage. Through this exercise, the owner can piece together a clear picture of seasonal variation for groundwater inflow and of system response to critical historical wet weather events for years.