search.noResults

search.searching

saml.title
dataCollection.invalidEmail
note.createNoteMessage

search.noResults

search.searching

orderForm.title

orderForm.productCode
orderForm.description
orderForm.quantity
orderForm.itemPrice
orderForm.price
orderForm.totalPrice
orderForm.deliveryDetails.billingAddress
orderForm.deliveryDetails.deliveryAddress
orderForm.noItems
TECHNICAL FEATURES


Swedish Meteorological Institute to analyse historical rainfall and the dry and wet weather behaviour of wastewater networks. For example, how and when water hits the network and how it affects pump heights.


Sensor devices placed at critical points in the network can collect data such as precipitation, problematic thresholds of rain volume, or seasonally varied sensitivities. That feeds into a central dashboard and these detailed measurements can then be analysed by water managers.


By using information from pump stations in real-time, the model calculates the total and excessive volume transported, allowing managers to see not only weather-related trends but also the resulting costs both in terms of treatment and power expenditure.


Once problem areas have been identified, the search area can be narrowed down using compact internet-of-things (IoT) devices within the same platform. Some pump stations have multiple inputs or long upstream pipeline networks. By selectively measuring different branches, it is possible to identify exactly where the water inflows and infiltrates or exclude areas that are not problematic.


Positive proof Håbo operates 38 pumping stations, in a


network where several smaller pumping stations feed larger stations before the wastewater is ultimately transported to treatment.


InfoTiles and Håbo municipality determined that the pumps closest to the treatment stations were receiving the largest net volume of water, meaning that the largest influx was occurring in the parts of the network directly relating to the largest pumps.


With this information, managers from Håbo went searching for damage in the identified areas and were able to quickly confirm the findings of the analysis. Significant breaches of the pipe were found upon visual inspection. In one location, drained surface water from nearby farmlands was penetrating wastewater pipes at high pressure, causing large and continuous volumes of I&I.


Sara Frid, water and wastewater strategist, Håbo Municipality, said, “The new insight into ingress water, such as volumes, likely sources, and the resulting costs really sparked an interest among our operators to go on the hunt for it.


“Within the first couple of weeks, we had found damages to our wastewater pipelines that we could repair to reduce


Finding and fixing a pipe break


volumes and save treatment costs.”


Now, water managers can not only use data to identify the areas with the highest need of maintenance and repairs but also see the results of their work in reduced volumes of inflow and infiltration.


Continually reducing the total volumes of I&I remains a high focus for Håbo municipality.


With the InfoTiles solution, they have been able to prove that investments in wastewater maintenance are not only an issue of environmental risk and cost, but in fact, the reduction in volumes will ultimately lead to reduced treatment costs in the long term.


Pipeline placement after


identification of I&I and wider damages using InfoTiles


26 | October 2024 | www.draintraderltd.com


Page 1  |  Page 2  |  Page 3  |  Page 4  |  Page 5  |  Page 6  |  Page 7  |  Page 8  |  Page 9  |  Page 10  |  Page 11  |  Page 12  |  Page 13  |  Page 14  |  Page 15  |  Page 16  |  Page 17  |  Page 18  |  Page 19  |  Page 20  |  Page 21  |  Page 22  |  Page 23  |  Page 24  |  Page 25  |  Page 26  |  Page 27  |  Page 28  |  Page 29  |  Page 30  |  Page 31  |  Page 32  |  Page 33  |  Page 34  |  Page 35  |  Page 36  |  Page 37  |  Page 38  |  Page 39  |  Page 40  |  Page 41  |  Page 42  |  Page 43  |  Page 44  |  Page 45  |  Page 46  |  Page 47  |  Page 48  |  Page 49  |  Page 50  |  Page 51  |  Page 52  |  Page 53  |  Page 54  |  Page 55  |  Page 56  |  Page 57  |  Page 58  |  Page 59  |  Page 60  |  Page 61  |  Page 62  |  Page 63  |  Page 64  |  Page 65  |  Page 66  |  Page 67  |  Page 68  |  Page 69  |  Page 70  |  Page 71  |  Page 72