Sustainable decision support based on relevant data
Internet of Things

AI and IoT for smart maintenance of societal infrastructures

Challenge

Critical societal infrastructures such as water and sewerage networks, road networks and smart cities in general are network systems that can be monitored with IoT technology (Internet of Things). These IoT technologies collect huge amounts of data, making it difficult to analyze data and detect relevant phenomena.

Expected results

With artificial intelligence (AI), however, this is made possible. How such an analysis can be carried out in a reliable way and sometimes in real time, raises fundamentally new research questions.

In this research project, we want to continue to develop the theory and algorithms for AI linked to IoT and its application to the drinking water network. We will use new AI algorithms to perform reliable data analysis. This makes it possible to increase the probability of detecting structural problems with leakage in the drinking water network.

1.13

Timeplan

2021

Project manager

Carlo Fischione, KTH
carlofi@kth.se

Partners

KTH Royal Institute of Technology

Expected impacts:

Z
Improved sustainable efficiency by 20 percent
Z
Competence deficiencies will decrease by 50 percent
Z
Over 50 municipalities are role models for sustainable asset management
Z
The state-owned authorities practice sustainable asset management on a daily basis
Z
At least ten companies have adopted the results from the programme and export service / products, competence and practice
Z
More than five SME’s have been established due to results from the programme
Sustainable decision support based on relevant data

Project name goes here

Challenge

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Expected results

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News about the project

Mistra Programme Directors: Gunn-Mari Löfdahl

Mistra Programme Directors: Gunn-Mari Löfdahl

Why is reserach important? Gunn-Mari Löfdah, programme director of Mistra InfraMaint, explains how the research programme contributes to a sustainable recovery and long-term social transformation. Under the heading "The importance of research for a green recovery and...

read more

1.1

Timeplan

2019 –  2023

Project manager

First name Last name,  representing
name.name@company.se 

Partners

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Expected impacts:

Z
Improved sustainable efficiency by 20 percent
Z
Competence deficiencies will decrease by 50 percent
Z
Over 50 municipalities are role models for sustainable asset management
Z
The state-owned authorities practice sustainable asset management on a daily basis
Z
At least ten companies have adopted the results from the programme and export service / products, competence and practice
Z
More than five SME’s have been established due to results from the programme

Publikationer

Roadmap Kompetensutveckling - summering

Rapport 2019:04

En framgångsfaktor för Mistra InfraMaint är att intressenterna utvecklar en långsiktig förmåga att ta till sig och tillämpa ny kunskap.

Roadmapen är programmets plan för att utveckla och stärka behovsägarnas kompetens.

Tillgångshantering i offentlig sektor

Rapport 2019:05

Utmaningarna i att överbrygga gapet mellan nuvarande metoder och best practice.

En fallstudie i utmaningarna inför implementering av en tillgångshanteringsmodell – ett examensarbete inom ramen för projekt 2.1. 

 

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