Application of passive wireless communication technology in online monitoring scenario of sulfur hexafluoride micro-water and density in hydropower station
Water content and gas density of sulfur hexafluoride (SF<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">6</inf>) in gas insulated switchgear (GIS) are key parameters affecting the safe operation of a power station. Traditional monitoring methods usually rely on active sensors, which require regular battery replacement and are limited by monitoring distances, making it difficult to meet the needs of long-term, high-reliability monitoring. In this paper, a novel sensor based on passive wireless communication technology was proposed for online monitoring of SF<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">6</inf> micro water content and density. Powered by microwave energy emitted by a dedicated communication gateway, the sensor does not need to rely on battery power, enabling remote measurements over a distance of more than 20 meters. The passive wireless sensor solution proposed in this paper not only reduced the cost of equipment operation and maintenance, but also improved the real-time performance and reliability of SF<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">6</inf> gas monitoring in hydropower station, and has a wide application prospect. The application of this technology will provide a more effective guarantee for the operation safety of hydropower stations, and promote the further development of passive wireless communication technology in the field of industrial monitoring.
Authors
- Shi‐Yang Tang (ORCID: https://orcid.org/0000-0002-3079-8880)
- Dong Jing (ORCID: https://orcid.org/0000-0001-8941-1356)
- Hong Pan (ORCID: https://orcid.org/0000-0003-4036-6886)
- Hua Qiu (ORCID: https://orcid.org/0000-0002-5550-296X)
- Lang Huang (ORCID: https://orcid.org/0000-0002-9038-0718)
Publication Details
- Published
- 2024-11-28
- DOI
- https://doi.org/10.1109/ispcem64498.2024.00147
- Citations
- 1
- Primary Topic
- Energy Efficient Wireless Sensor Networks
- Type
- article
- Field-Weighted Citation Impact
- 0.35