Smart real-time monitored VA-system for measured overflow with directly connected data analysis

Purpose and goal:

Take control of flows in stormwater and sewage systems to prevent a negative environmental impact and potential flooding. Develop a platform to visualize collected data and provide a forecast for future water flow.

The project has deployed measurement units for the collection of data that is visualized in our IoT platform. This gives the municipality the opportunity to plan and dimension the sewage systems, monitor flow in real time and make decisions based on weather forecasts regarding future flow. Expected results and effects:

Kristianstad´s municipality has deployed approx. 550 measuring units and is now collecting information about water flow, precipitation and water levels.

We have further developed our IOT platform to collect and visualize the information in several ways to meet various issues

Högskolan Kristianstad has, with the help of machine learning, built a forecast model for future water flow. This has been implemented in our IoT portal. C4Energi has expanded the LoRa WAN network to achieve coverage in all places where we have deployed measuring units. Approach and implementation:

Kristianstad municipality has taken responsibility for setting up all the measuring units. All measuring units have been calibrated before using the measurement data. We have found flaws in the technical quality of the measuring units from a supplier, which led to a lot of extra work.

Högskolan Kristianstad, in his work to develop a machine learning model, has developed many different models and then implemented the one that gave the best results. C4Energi has reinforced its radio network with several gateways to achieve full coverage at all metering units.