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ADSVersion Prism- Blockage PREDICT -Sewer Cleaning Optimization Analyzes Locations Monitor App

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Blockage PREDICT is an app within PRISM that is specifically designed to detect the earliest signs of blockages, predict overflows, and tell you how much time you have to act. Blockage PREDICT analyzes monitor locations daily and applies a combination of machine learning(ML) algorithms and ADS expertise to show you the level status and recommend a response time-frame. You’ll have all the information you need to deploy sewer cleaning resources proactively and prevent overflows long before problems occur.

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How does blockage PREDICT work?

Blockage PREDICT combines many elements to deliver a simple answer. Where will a blockage form? An ADS ECHO level monitor is installed upstream from a location of interest, measuring sewer flow depth at regular time intervals. This data is transmitted periodically to the Cloud, where a machine learning (ML) algorithm evaluates the data – looking for tell-tale signs of developing blockages. You can access the results in the  PRISM™ online platform from any device. Blockage PREDICT predicts developing blockages with enough notice to plan a proactive response with the right resources at the right time to prevent an overflow before it occurs.

The blockage status of each location is conveyed by one of four simple icons:

GREEN “?”: A blockage is not detected based on the ML algorithm. There is no urgency, and no action is needed. You can breathe easy.

YELLOW “!”: A blockage is probable based on the ML algorithm and is in an early stage of development before the sewer has surcharged. The response urgency level is proactive, and you may have a few days to a week or more to intervene and prevent an SSO.

RED “X”: A blockage is probable based on the ML algorithm and is in a more advanced stage of development after the sewer has surcharged. The response urgency level is reactive, and you may have a few days or less to intervene and prevent an SSO.

GRAY ” – “: Analysis did not run on this site. The ML algorithm has not yet run or does not have any data to evaluate for this date.
If this continues, you may want to check the connection or condition of your monitor.