SURVEYOR: Surveying VEntilation sYstems in fOundries using Robots and stationary sensors
| Reference number | |
| Coordinator | Örebro universitet - Institutionen för naturvetenskap och teknik |
| Funding from Vinnova | SEK 498 000 |
| Project duration | May 2018 - October 2018 |
| Status | Completed |
| Venture | The strategic innovation programme for Swedish mining and metal producing industry - SIP Swedish Mining Innovation |
| Call | STRIM fall 2017 |
Important results from the project
SURVEYOR resulted in a multi domain (temporal, spatial and frequency) ventilation characterization approach that was verified in two different industrial environments. The applicability of the developed system was further supported by feedback provided by our industrial partners, whom agreed that such system is of interest for the metallurgy sector, including mining. These results and conclusions open the door for full a scale project, where the shortcomings of the developed methods and identified research opportunities could be addressed.
Expected long term effects
The SURVEYOR system provides a wide perspective of indoor ventilation not possible with currently used systems. The spatial models describe airflow streams, the temporal models account for time-dependent variations while frequency-domain characterization opens the door for understanding how regular activities influence airflow. With further developments, such system could be offered as an outsourced service to mines and other industries to understand airflow conditions before implementing expensive changes in their ventilation systems.
Approach and implementation
SURVEYOR was developed in a two-phase cycle. First, the system components were developed/tested in a controlled setting that resembles an industrial scenario. We made make sequential improvements before deploying the system. In the second phase we conducted data collection in two different foundries for prolonged deployments. Overall, this work cycle allowed us to develop a robust system, able to operate for prolonged periods of time and moreover, we identified several improvement opportunities to bring SURVEYOR close to a fully-fledged ventilation characterization system.