50 Hz Temporal Magnetic Field Monitoring from High-Voltage Power Lines: Sensor Design and Experimental Validation.

electromagnetic field (EMF) extremely low frequency (ELF) magnetic field exposure sensor monitoring sensor

Journal

Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366

Informations de publication

Date de publication:
17 Aug 2024
Historique:
received: 15 05 2024
revised: 12 08 2024
accepted: 13 08 2024
medline: 31 8 2024
pubmed: 31 8 2024
entrez: 29 8 2024
Statut: epublish

Résumé

A low-cost, tri-axial 50 Hz magnetic field monitoring sensor was designed, calibrated and verified. The sensor was designed using off-the-shelf components and commercially available coils. It can measure 50 Hz magnetic fields originating from high-voltage power lines from 0.08 µT to 364 µT, divided into two measurement ranges. The sensor was calibrated both on-board and in-lab. The on-board calibration takes the circuit attenuation, noise and parasitic components into account. In the in-lab calibration, the output of the developed sensor is compared to the benchmark, a narrowband EHP-50. The sensor was then verified in situ under high-voltage power lines at two independent measurement locations. The measured field values during this validation were between 0.10 µT and 13.43 µT, which is in agreement with other reported measurement values under high-voltage power lines in literature. The results were compared to the benchmark, for which average deviations of 6.2% and 1.4% were found, at the two independent measurement locations. Furthermore, fields up to 113.3 µT were measured in a power distribution sub-station to ensure that both measurement ranges were verified. Our network, four active sensors in the field, had high uptimes of 96%, 82%, 81% and, 95% during a minimum 3-month interval. In total, over 6 million samples were gathered with field values that ranged from 0.08 µT to 45.48 µT. This suggests that the proposed solution can be used for this monitoring, although more extensive long-term testing with more sensors is required to confirm the uptime under multiple circumstances.

Identifiants

pubmed: 39205019
pii: s24165325
doi: 10.3390/s24165325
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : The department of Environment & Spatial Development Flanders
ID : OMG-VPO/2021/004

Auteurs

Kenneth Deprez (K)

Department of Information Technology, Ghent University/imec WAVES, 9052 Ghent, Belgium.

Tom Van de Steene (T)

Department of Information Technology, Ghent University/imec WAVES, 9052 Ghent, Belgium.

Leen Verloock (L)

Department of Information Technology, Ghent University/imec WAVES, 9052 Ghent, Belgium.

Emmeric Tanghe (E)

Department of Information Technology, Ghent University/imec WAVES, 9052 Ghent, Belgium.

Liesbeth Gommé (L)

Department of Environment & Spatial Development, Flemish Planning Bureau for the Environment and Spatial Development, 1000 Brussels, Belgium.

Mart Verlaek (M)

Department of Environment & Spatial Development, Flemish Planning Bureau for the Environment and Spatial Development, 1000 Brussels, Belgium.

Michel Goethals (M)

Department of Environment & Spatial Development, Flemish Planning Bureau for the Environment and Spatial Development, 1000 Brussels, Belgium.

Karen van Campenhout (K)

Department of Environment & Spatial Development, Flemish Planning Bureau for the Environment and Spatial Development, 1000 Brussels, Belgium.

David Plets (D)

Department of Information Technology, Ghent University/imec WAVES, 9052 Ghent, Belgium.

Wout Joseph (W)

Department of Information Technology, Ghent University/imec WAVES, 9052 Ghent, Belgium.

Classifications MeSH