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Severn Tren Case Study

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Dec. 3, 2019
Courtesy ofInflowmatix

Severn Trent were suffering a series of high pressure burst incidents within a densely populated area, significantly impacting a large volume of customers and attracting negative publicity both locally and nationally. It was important to identify the underlying cause of the problem quickly. In order to do this Severn Trent selected an innovative approach using high frequency transient monitoring detection analytics.

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Severn Trent chose to work with Inflowmatix to understand the causal failure across a wide range of variables in order to

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InflowSys™ Data Analytics Platform

Inflowmatix recognises that traditional 15 minute average data monitoring of a water network is unable to capture the detail of strategic asset performance and the impact on the network infrastructure during large multi event (i.e.pump/booster station/valve operation) variations in water flow of a network.By deploying the leading data analytics suite - InflowSys™, high resolution pressure data was captured and analysed in real time to identify transient sources and dynamic pressure variability causing network asset fatigue and hence burst failure. The asset fatigue was measured using the InflowSys™ Cumulative Pressure Induced Stress index (CPIS™) in order to prioritise future potential at risk areas