Journal of Radiation Research and Radiation Processing, Volume. 40, Issue 5, 050601(2022)

Safety assessment of electromagnetic exposure of walk-through metal detectors operating at 6.48 kHz

Weijiang BAI and Mai LU*
Author Affiliations
  • Key Laboratory of Opto-Electronic Technology and Intelligent Control, Ministry of Education, Lanzhou Jiaotong University, Lanzhou 730070, China
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    This study aims to evaluate the safety of electromagnetic exposure of passers-by (adults and children) in the electromagnetic environment of walk-through metal detectors operating at 6.48 kHz. The magnetic induction intensity and induced electric field intensity in a human model were calculated using COMSOL simulation software to simulate the operating environment of the electromagnetic walk-through metal detectors and compared with the International Commission on Non-Ionizing Radiation Protection (ICNIRP) public exposure limits of 27 μT and 874.8 mV/m. The magnetic induction intensity was the highest in the human body when directly below the walk-through metal detectors near the coil side. This intensity was observed on the arm near the door panel 2.44 μT (adults) and 1.86 μT (children), corresponding to 9.04% and 6.89% of the ICNIRP limit (27 μT), respectively. The electric field intensity in the CNS tissue was the highest in the human body when inside the walk-through metal dectors, distributed over the scalp and skull near the coil side, 1.27 mV/m (adults) and 1.1 mV/m (children), corresponding 0.15% and 0.13% of the ICNIRP limit (874.8 mV/m), respectively. The simulation values were below the public exposure limits set by ICNIRP, indicating that the electromagnetic fields generated by the transmitting coils during the operation of the walk-through metal detectors do not pose a health risk to humans owing to electromagnetic exposure.

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    Weijiang BAI, Mai LU. Safety assessment of electromagnetic exposure of walk-through metal detectors operating at 6.48 kHz[J]. Journal of Radiation Research and Radiation Processing, 2022, 40(5): 050601

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    Paper Information

    Category: Research Articles

    Received: Apr. 14, 2022

    Accepted: Jun. 21, 2022

    Published Online: Nov. 3, 2022

    The Author Email: LU Mai (mai.lu@126.com)

    DOI:10.11889/j.1000-3436.2022-0041

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