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In certain special scenarios, there will be a mixed radiation field formed by a variety of nuclides or rays. The monitoring system for such radiation fields requires the capacity of comprehensive and automatic analysis. In this paper, a specific mixed radiation field is given, which contains gamma ray, neutron ray, α aerosol and tritium in a high radon concentration environment. An intelligent monitoring system is developed to measure and evaluate the complex radiation field rapidly and accurately. The radiation performance of the system is verified by experiments, which achieves the expected index requirements.

As we know radon is harmful to people because of its radioactivity. Focusing on the technical requirements of radon mitigation by adsorption, the radon adsorption behavior of carbon nanotube bundles was studied under different diameter tube bundles and different tube spacing using the grand cononical ensemble Monte Carlo (GCMC) simulation method. The results show that the (10:10) type nanotubes have the strongest ability to adsorb radon with a tube spacing of 1 nm, followed by (7:7) type nanotubes with a tube spacing of 1 nm. The bundle of carbon nanotubes of the (8:8) type has the worst adsorption capacity. Moreover, the nanotube bundles of each type of tube have an increased ability to adsorb radon as the tube spacing increases.