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Visualisations of air quality measurements using IoT sensors

Reference number
Coordinator REQS System AB
Funding from Vinnova SEK 300 000
Project duration November 2017 - May 2019
Status Completed
Venture Bygginnovationen 2011-2014
Call 2015-06960-en

Purpose and goal

We are currently carrying out a project called "IoT´s potential for improving Inspection and Testing". In a number of pilot projects in various types of buildings we aim to improve the quality and effectiveness of inspection and testing related to ventilation and air quality with the help of sensors linked to the latest developments of IoT. In this project we have developed a visual interface which shows measured data in real time and also gives the possibility of viewing past data from the sensors.

Expected results and effects

The visual interface shows measured data in real time and also gives the possibility of viewing past data from the sensors. A visualisation of general and detailed information is included. The developed cloud will give the possibility to collect data from other technical installations for inspection and testing in buildings. The overall goal is to be able to visualise the state of the building including the technical installations. We will be weighing up the results from inspections, testings and continuous monitoring systems

Planned approach and implementation

Steering Group: The Main Project (IoT´s potential for improving Inspection and Testing) has a Steering Group consisting of representatives from LOCUM, Stockholm Stad, Vasakronan, SISAB and Förvaltaren. The Project Manager has reported continuously to the Steering Group. Project Group: The team consist of one Project Leader/Scrum Master, 1 System Architect, 1 UX Designer, 1 Front End Designer and 2 Back End Designers. Reference Group:The participants in the Steering Group have appointed from each company persons how have participated in the reference Group.

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

Last updated 8 January 2019

Reference number 2017-05187

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