Use of graph theory and AI in correction of network data, risk assessment and hydraulic modelling.
Buyer: Orkland Kommune
- Published
- 7 May 2024
- Procedure
- Negotiated procedure
- Lots
- 1
- Notice number
- 00268805-2024
- Reference
- ff75899e-5965-4aea-8e42-a33cc778c4d0
- Official source
- Official source
CPV codes
- 65000000Servicios públicos
Description
Intention notice - Use of graph theory and AI in correction of network data, risk assessment and hydraulic modelling. There are requirements for waterworks owners and municipalities for delivery capacity, including water flow/quantity and securing fire water capacity. If the allowed fire water outlet is incorrectly calculated, taking over can result in a greater pressure loss in the supply network than desired, and increasing the risk of contamination of drinking water. To ensure this, there is a need to establish and maintain hydraulic water models. In order to implement the modelling, municipalities and waterworks must prepare their network data. This is a time-consuming task, as there are often challenges connected to the data quality in the substrate. Orkland municipality intends to procure services that, through the use of specially developed technology, allow us to automatically identify errors in network data. The technology that shall be implemented uses graph theory and machine learning methods. The software collects, processes, correlates and presents data from sensors, control systems, geographical data and open data (weather and hydrological). A corrected network mode…
Awards
| Awarded to | Amount | Date |
|---|---|---|
| InfoTiles AS | — | — |
Official publications
- TED · 00268805-2024 · 7 May 2024
- OJS · 89/2024 · 7 May 2024
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Frequently asked questions
- Who is the buyer of this tender?
- The contracting authority is Orkland Kommune (European Union).
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