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12 July 2024 Research on the detection characteristic of portal radiation alarm system for low-activity radioactive material based on artificial intelligence applications
Qiu Huang, Lan Gong, Shuqiong Li, Ping Huang, Jie Fan, Guotao Yang, Qing Wan
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Proceedings Volume 13185, International Conference on Communication, Information, and Digital Technologies (CIDT2024) ; 131850C (2024) https://doi.org/10.1117/12.3033609
Event: International Conference on Communication, Information and Digital Technologies, 2024, Wuhan, China
Abstract
On the premise of meeting the performance requirements of portal radiation alarm system in the national standard GB/T 24246-2009, a kind of portal radiation alarm system is developed by applying the computer method based on artificial intelligence to realize radioactive material detection in this paper. In order to detect low activity radioactive material close to natural background, the detection sensitivity measurement principle of this alarm system for low activity radioactive material is discussed. Through the background stability test of this alarm system, the theory that the background count rate meets 3 times standard deviation is obtained, which proves that the stability of this alarm system is reliable. On this basis, the detection experiment of low activity radioactive material is carried out. This alarm system can detect low activity radioactive material close to natural background. The result indicates that it is feasible to use this alarm system to detect low activity radioactive material, and that the diffusion of low activity radioactive material close to natural background due to missing detection can be avoided.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
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Qiu Huang, Lan Gong, Shuqiong Li, Ping Huang, Jie Fan, Guotao Yang, and Qing Wan "Research on the detection characteristic of portal radiation alarm system for low-activity radioactive material based on artificial intelligence applications", Proc. SPIE 13185, International Conference on Communication, Information, and Digital Technologies (CIDT2024) , 131850C (12 July 2024); https://doi.org/10.1117/12.3033609
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KEYWORDS
Artificial intelligence
Data storage
Computing systems
Signal processing
Gamma radiation
Plastics
Digital signal processing
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