Paper
4 March 2024 A direction-aimed radiation detector and strength estimation method based on mobile robot system
Author Affiliations +
Proceedings Volume 12981, Ninth International Symposium on Sensors, Mechatronics, and Automation System (ISSMAS 2023); 129812N (2024) https://doi.org/10.1117/12.3015015
Event: 9th International Symposium on Sensors, Mechatronics, and Automation (ISSMAS 2023), 2023, Nanjing, China
Abstract
To address the problems of inaccurate dose rate and long-period measurement, this paper presents a nuclear radiation detector with the function of directional determination, as well as the corresponding Bayesian-based strength estimation method. Firstly, a vehicle-mounted radiation detector with large measurement range is designed, together with the steering mechanism and size-differentiated shielding shell, completing the ultra-wide measurement range of 0.15μGy/h~500Gy/h and the precise directional aiming functions. Enlightened by the characteristics of conjugated Gamma distribution, the radiation strength estimation method is established in an iterative manner. By comparing and analyzing the convergence properties and prediction efficiency under different shape parameters γ and scale parameters β, the selection criteria for initial model parameters is clarified. Finally, the proposed nuclear detector and estimation method are applied in the actual radiation source searching task, verifying the real-time, effectiveness, and accuracy of the overall radiation source detection system. The experimental results show that, the measurement method based on conjugated distribution theory can significantly reduce the number of estimated iterations to less than 15 steps, and improve the accuracy of the directional aiming function, ensuring the ability of on-line exploitation and exploration for the mobile system.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Wenrui Gao, Huimin Cui, Kuiying Yin, Chuan Liu, and Zhaoyou Huang "A direction-aimed radiation detector and strength estimation method based on mobile robot system", Proc. SPIE 12981, Ninth International Symposium on Sensors, Mechatronics, and Automation System (ISSMAS 2023), 129812N (4 March 2024); https://doi.org/10.1117/12.3015015
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