Neutron directional detection device and method based on solid nuclear track detector

By using a neutron directional detection device based on a solid-state nuclear track detector, combined with a CR-39 detector and a boron nitride ceramic substrate, and employing an artificial neural network model, the problems of blind spots, energy division regions, and large-scale measurements in neutron directional detection have been solved, achieving high-precision, portable, and low-cost neutron directional detection.

CN121165149APending Publication Date: 2025-12-19FUDAN UNIVERSITY
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Patent Information

Application Number
CN202511498476.7
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-10-20
Publication Date
2025-12-19

AI Technical Summary

Technical Problem

Existing neutron direction detection technologies suffer from blind spots, inability to achieve energy division and large-scale measurements, and large size and high cost of existing detectors, making it difficult to achieve portability and field adaptability.

Method used

A neutron directional detection device based on a solid-state nuclear track detector is adopted. Utilizing the CR-39 solid-state nuclear track detector and a central base made of boron nitride ceramic material, combined with an artificial neural network model, it can achieve simultaneous measurement of fast neutrons and thermal neutrons, simplifying the detector structure and reducing the difficulty of operation.

Benefits of technology

It achieves high-precision, portable, and highly mobile neutron directional detection, and can simultaneously measure the directional distribution of fast neutrons and thermal neutrons, reducing operational difficulty and cost, and is suitable for personal and field monitoring.

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Abstract

The invention provides a neutron directional detection device and method based on a solid nuclear track detector, and the device comprises a solid nuclear track detection part which is used for receiving secondary particles generated by the interaction of neutrons and forming observable track signals; the central base is used for reflecting thermal neutron information; and the shell is used for reflecting fast neutron information. The neutron directional detection method comprises the following steps: simulating by using Monte Carlo software to obtain secondary particle information under different incident angles; obtaining a response simulation data set of the neutron directional detection device under the condition of different incident angles by adopting a particle analysis and judgment algorithm; training an artificial neural network model based on the simulation data set; the actual response of the neutron directional detection device is obtained through etching and track reading during measurement; and substituting the actual response of the neutron directional detection device into the artificial neural network model to carry out direction detection. The device has the advantages of light weight, portability, accurate measurement, high detection efficiency, rapidness and simultaneous measurement of the thermal neutron direction.
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