Your browser doesn't support javascript. This means that the content or functionality of our website will be limited or unavailable. If you need more information about Vinnova, please contact us.

IoT for Smart Snow Plowing

Reference number
Coordinator BRON Innovation AB
Funding from Vinnova SEK 5 000 000
Project duration January 2021 - April 2023
Status Ongoing
Venture The strategic innovation programme for the Internet of Things
Call IoT for innovative social benefits and a better life for everyone in a connected world

Purpose and goal

In this project we intend to develop an IoT based solution to handle increased uncertainty and enable optimization of snow removal. To do this we will study and develop: 1. IoT based data collection: Develop solutions for data collection of snow and sn ow removal that enables planning and business development of snow removal in a municipality. 2. Analysis methods: Based on collected data, develop analysis methods. 3. Business development: Business development of snow removal in a small municipality and in a larger municipality to find a salable model for IoT based snow removal planning.

Expected results and effects

The goal is to develop IoT data collection, analysis and business development methods to enable optimization of snow removal for Swedish municipalities, and in the long run a solution that can be scaled up for on a global market. Effects of the project will also be increased IoT competence in companies and the public sector, new IoT-based products, new data-driven processes and increased ability for collaboration and interaction between academia, private companies and public actors.

Planned approach and implementation

The project is divided into 9 work packages, which focus on * Analysis of snow removal functions * Technical development of sensors for measuring snow depth and snow quality * Test (field testing of sensors) * Visualization and analysis of data * Evaluation, utilization and commercialization

External links

The project description has been provided by the project members themselves and the text has not been looked at by our editors.

Last updated 9 August 2022

Reference number 2020-04097

Page statistics