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AI Powered EDM Spills Management
A complete end-to-end spills management solution which includes capabilities such as data collection, validation, monitoring, investigation, reporting and predicting spills.
Water utilities companies need to report on untreated sewer spills from their assets to their respective environment agencies. Reporting spills is a very significant business performance indicator with financial and reputational repercussions. The reporting of spills is achieved through EDM (Event Duration Monitoring) loggers which monitors untreated sewer spills from pumping stations, CSOs and wastewater treatment plants. These EDM loggers are not completely reliable and subject to failures and routing maintenance.
Cognizant’s AI powered Spills management solution brings Microsoft Azure’s data management and AI capabilities and leverage services such as Azure Data factory, Azure Databricks, Azure ML Studio to improve spills reporting and drive operational efficiencies using AI. This is a complete end-to-end spills management solution which includes capabilities such as data collection, validation, monitoring, investigation, reporting and predicting spills. The solution’s rule engine identifies outliers, flat lines, single spill events and other anomalies by utilizing underlying analogue signal data for Digital devices and removes data anomalies. The AI engine leverages weather data and real time sensor data to predicts the spills before it occurs.
Some of the key features of the solution are: